reducing the bullwhip effect looking through the appropriate lens demand amplification now frequently referred to as bullwhip is potentially a very costly phenomenon it can lead to stock outs large and expensive capacity utilisation swings lower quality products and considerable production transport on costs as deliveries are ramped up and down at the whim of the supply chain however the detection of bullwhip depends on which lens is used this in turn depends on the background and requirements of various players within the value stream to gain insight into this scenario we exploit a relatively simple replenishment model because new and novel analytic solutions have been derived for all important performance metrics comparison of the competing bullwhip measures is thereby greatly streamlined in the complex real world the likelihood is that supply chains will generate even greater inconsistency between alternative variance shock and filter lens viewpoints

assessing the system and investor value of utility scale solar pv abstract with pressure to reduce greenhouse gas emissions from the energy and other sectors policymakers are increasingly seeking to mobilise investment in renewable electricity with support mechanisms the objective of this paper is to assess the value of utility scale solar pv using a multidisciplinary approach in many cases renewable energy strategies are developed by investors and policymakers on the basis of a relatively narrow analysis of costs however as policies should be designed to maximise societal welfare a wider paradigm is needed in decision making this paper argues for an impact assessment of renewable electricity generation that integrates its value from investor utility policy maker and end user perspectives we propose a multidisciplinary approach to the assessment combining engineering production cost estimation with financial and market analysis of utility scale solar pv in ireland the results show that while from an investor s perspective solar pv generation is and will likely remain so for the foreseeable future relatively expensive in a country with low solar irradiation such as ireland there are benefits for the electricity system in terms of reduced wind curtailment and to a lesser extent co2 emissions this demonstrates why the wider costs and benefits of integrating a renewable electricity technology to the system need to be considered in assessment of renewable policy support mechanism policy makers can then seek to maximise the system benefits while minimising the cost of any policy supports

real options analysis of investment in solar vs wind energy diversification strategies under uncertain prices and costs in this paper we study a community or firm considering to diversify its investment in two distinct renewable energy technologies namely wind and solar pv electricity we assume technological learning curves as a function of cumulative capital investment a real options approach is applied as it takes into account uncertainty about prices and learning as well as irreversibility associated with investment decisions we investigate three different cases dealing with uncertainty about future electricity prices and uncertainty about the speed with which learning drives the costs of wind and solar electricity down we assess the minimum threshold for the stochastic price and the maximum electricity production cost that makes it optimal for the firm to invest in the two technologies the results show that the learning rate affects the option to invest in but reducing critical threshold for exercising it the greater the amount of capital invested the more learning stimulates earlier exercising of the option to invest the firm will then anticipate the option to invest and exercise it for lower critical threshold values if all capital is invested in one technology if capital investment is diversified the option should be exercised at a higher critical threshold more uncertainty in energy prices or technology costs postpones the option to invest although investing in both solar and wind may be profitable under particular conditions of price and cost uncertainty the theoretically optimal strategy is generally investing in only one technology that is solar or wind depending on their relative initial costs and learning rates this suggests that the practice in most countries of diversifying renewable energy may reflect a mistaken strategy

strategy not tactics drives aggregate planning the aggregate planning model supposedly shows how manufacturers cope with seasonally biased sales unfortunately industry has failed to embrace any of the sophisticated algorithms that were developed to solve the corresponding resources allocation problem this paper reveals why such methods have proven so unattractive aggregate planning is a chimera in practice planners construct the master production schedule directly in line with a preferred production strategy a chase plan is the most popular choice when this option proves infeasible management plumps for another predetermined strategy the resultant stockpiling brings certain financial risks however companies take various measures to reduce their exposure

choosing sides in matching games nash equilibria and comparative statics this paper characterizes equilibria in matching games where the institutional setting allows players to choose whether to become buyers sellers or not to participate in economic activity nash equilibrium consists of a partition of agents into buyers sellers and non participants such that agents in each group do not have an incentive to change their activity given the behaviour of other agents comparative static analysis demonstrates that when participation costs are so high that some agents choose not to participate a further increase in participation costs may increase the number of agents who participate in the matching process

optimizing the level of renewable electric r d expenditures using real options analysis abstract one of the primary objectives of the united states federal non hydro renewable electric r d program is to promote the development of technologies that have the potential to provide consumers with stable and secure energy supplies in order to quantify the benefits provided by continued federal renewable electric r d this paper uses real option pricing techniques to estimate the value of renewable electric technologies in the face of uncertain fossil fuel prices within the real options analysis framework the current value of expected future supply from renewable electric technologies net of federal r d expenditures is estimated to be 30 6 billion of this value 86 can be attributed to past federal r d efforts and 14 can be attributed to future federal r d efforts assuming continued federal r d funding at 300 million yr in addition real options analysis shows that the value of renewable electric technologies increases as current and future r d funding levels increase this indicates that the current level of federal renewable electric r d funding is sub optimal

evaluating natural resource investments notwithstanding impressive advances in the theory of finance over the past 2 decades practical procedures for capital budgeting have evolved only slowly the standard technique which has remained unchanged in essentials since it was originally proposed see dean 1951 bierman and smidt 1960 derives from a simple adaptation of the fisher 1907 model of valuation under certainty under this technique expected cash flows from an investment project are discounted at a rate deemed appropriate to their risk and the resulting present value is compared with the cost of the project this standard textbook technique reflects modern theoretical developments only insofar as estimates of the discount rate may be obtained from crude application of single period asset pricing theory but see brennan 1973 bogue and roll 1974 turnbull 1977 constantinides 1978 the inadequacy of this approach to capital budgeting is widely acknowledged although not widely discussed its obvious deficiency is its the evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices it is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing managing and abandoning them the approach may be adapted to a wide variety of contexts outside the natural resource sector where uncertainty about future project revenues is a paramount concern

the analysis of bullwhip effect in a hmms type supply chain the aim of the paper is to investigate the well known bullwhip effect of supply chains control theoretic analysis of bullwhip effect is extensively analyzed in the literature with the laplace transform this paper tries to examine the effect for an extended holt modigliani muth simon model a two stage supply chain supplier manufacturer is studied with quadratic costs functional it is assumed that both firms minimize the relevant costs the order of the manufacturer is delayed with a known constant two cases are examined supplier and manufacturer minimize the relevant costs decentralized and a centralized decision rule the question is answered how to decrease the bullwhip effect

renewable energy policy evaluation using real option model the case of taiwan abstract this study presents a policy benefit evaluation model that integrates cost efficiency curve information on renewable power generation technologies into real options analysis roa methods the proposed model evaluates quantitatively the policy value provided by developing renewable energy re in the face of uncertain fossil fuel prices and re policy related factors the economic intuition underlying the policy making process is elucidated while empirical analysis illustrates the option value embedded in the current development policy in taiwan for wind power in addition to revealing the benefits that re development provides when considering real options analytical results indicate that roa is a highly effective means of quantifying how policy planning uncertainty including managerial flexibility influences re development in addition to assessing the policy value of current re development policy this study also compares policy values in terms of internalized external costs and varying feed in tariff fit simulation results demonstrate that the re development policy with internalized co2 emission costs is appropriate policy planning from sustainability point of view furthermore relationship between varying fit and policy values can be shown quantitatively and appropriate fit level could be determined accordingly

on the impact of order volatility in the european automotive sector order volatility is an unfortunate fact of life facing most suppliers of both products and services in this paper we are concerned with establishing the magnitude of the problem faced by the european automotive sector the evidence has been acquired via the site based quick scan audit methodology qsam production scheduler strategy is thereby classified according to a new five set schema as observed via individual value stream volatilities system variables have then been codified and correlated with customer order volatility powerful statistically significant relationships emerge from this evidence this generally but not wholly supports intrinsic views on what constitutes good practice a specific interface between supplier and oem shows the existence of a positive loop that acts as a vicious circle to create unnecessary volatility in material flow

valuation of projects for power generation with renewable energy a comparative study based on real regulatory options abstract this comparative study evaluates an investment project on renewable energy based on wind power we have conducted the study in three european union countries denmark finland and portugal we have modelled the main uncertainties that affect this kind of project such as the cost and production of electric power investment costs and consumer price index for each of these countries we have analysed the mechanisms of public support for wind energy we have identified the real options included in the regulatory frameworks of these three countries and assessed how they affect the expanded net present value of the project to this end we have used two different methods of option valuation the monte carlo method and the binomial method we have proved that the obtained results using both methods are quite similar finally we have evaluated the public incentives for wind energy offered in each of these three countries and concluded that in economic terms finland is the country with the strongest support for this kind of energy followed by denmark and in the last place portugal

investment in wind power and pumped storage in a real options model abstract promoting renewable energy has been a key ingredient in energy policy seeking to de carbonize the energy mix and will continue to do so in the future given the european union s high ambitions to further curb carbon emissions a wide range of instruments has been suggested and implemented in various countries of the eu a prominent policy promoting investment in renewable technologies is the use of feed in tariffs which has worked well at large scale in e g germany but which has only been implemented in a very limited way in countries such as the uk being subject to environmental uncertainties however renewables cannot be seen in isolation while renewables based technologies such as wind and solar energy for example suffer from uncertain loads depending on environmental conditions hydropower allows for the storage of water for release at peak prices which can be treated as a premium partially offsetting higher upfront investment costs in addition electricity prices will respond to changes in electric capacity in the market which is often neglected in standard investment models of the electricity sector this paper contributes to the existing literature in two ways it provides a review of a renewables based technology in a specific policy context and provides additional insight by employing a real options approach to investigate the specific characteristics of renewables and their associated uncertainties in a stylized setting taking explicitly into account market effects of investment decisions the prices of the model are determined endogenously by the supply of electricity in the market and by exogenous electricity price uncertainty the inclusion of market effects allows us to capture the full impact of public incentives for companies to invest into wind power and hydro pumped storage installations

reducing the cost of demand uncertainty through accurate response to early sales traditionally fashion products have incurred high losses due to stockouts and inventory obsolence because long lead times coupled with a concentrated selling season force all or at least most production to be committed before demand information is available under a quick response system lead times are shortened sufficiently to allow a greater portion of production to be scheduled in response to initial demand we model and analyze the decisions required under quick response and give a method for estimating the demand probability distributions needed in our model we applied these procedures with a major fashion skiwear firm and found that cost relative to the current informal response system was reduced by enough to increase profits by 60 relative to the cost that would have been incurred if no response were used optimized response reduces cost by enough to roughly quadruple profits

a deterministic single item inventory model with seller holding cost and buyer holding and shortage costs this paper considers the optimal deterministic inventory policy for a monopolist the novel element concerns the consumers each has a time at which he would most prefer to obtain the good he incurs a shortage cost if he buys it after that time and a holding cost if he obtains it before the firm must consider that any change in its policy will affect the quantity of goods it can sell and the maximum price it can charge we find that the seller s optimal policy can take only one of three possible forms sell the goods throughout each cycle sell the goods continuously during an interval that is shorter than an inventory cycle or sell the goods only at the instant each cycle begins

compound real options valuation of renewable energy projects the case of a wind farm in serbia abstract renewable energy sources have become a very important issue due to environmental and sustainability concerns in addition most renewable energy electricity generation res e projects are characterized by considerable uncertainty and sequential decision making these projects net present value npv is very often close to zero which renders them a good candidate for the application of real options valuation methodology of investment project appraisal this paper examines the real options valuation of a potential onshore wind farm project in serbia the binomial tree model spans a 15 year period consisting of a 2 year investment period and a 13 year operating period the first 12 years of which are protected by feed in tariffs according to local renewable energy regulations the authors examine a multi phased compound nested path dependent real option consisting of mutually exclusive options a sequential option to invest as well as expand repower contract and abandon options volatility which is calculated by means of a monte carlo simulation according to the logarithmic present value returns approach shows predominant sensitivity to the capacity factor simulated with the rescaled weibull s probability distribution the final binomial tree results show that the proposed sequence of options increases project value by transforming higher risk and lower return in the initial discounted cash flow model to lower risk and higher return in the ro model this paper contributes to the existing literature in at least two ways it presents in depth analysis of the real option application to the res e project and provides decision makers with sophisticated tool for improving strategic thinking capital budgeting and decision making processes

real options delay vs pre emption do industrial characteristics matter this paper presents an empirical study of the channels of influence from uncertainty to fixed investment suggested by real options theory using panel data from the confederation of british industry cbi industrial trends survey we report ols estimates of the impact of uncertainty on investment where the regressors are augmented by cross sectional averages of the dependent variable and of the individual specific regressors as recently suggested by pesaran pesaran m h 2006 estimation and inference in large heterogeneous panels with a multifactor error structure econometrica 74 967 1012 the cross industry pattern of results is checked for consistency with the pattern predicted by real options theory using a specially constructed data set of industrial characteristics we find that irreversibility is able to predict the pattern detected but only when combined with a measure of the information advantage of delay there is also evidence for expansion options effects industries with high r d and advertising intensities tend to have positive uncertainty effects

a real option model for renewable energy policy evaluation with application to solar pv power generation in china abstract this study proposes a policy evaluation model from the perspective of government and investors the proposed model which integrates american option method and two factor learning curve method can be used to evaluate the unit decision value and save path rate for renewable energy development and examine the existence of balance point of interest several uncertain factors including non renewable energy cost carbon price renewable energy cost and price subsidy are all considered in this model the model has been applied to evaluate the solar photovoltaic pv power generation in china our empirical results show that real option analysis roa is more effective than net present value analysis npv when handling uncertainty under current level of subsidy the government would suffer loss and the investors could benefit so that it is difficult to achieve the balance of interest during the planning period with the reduction of subsidy rate they can achieve the balance of interest

investment timing and optimal capacity choice for small hydropower projects this paper presents a method for assessing small hydropower projects that are subject to uncertain electricity prices we present a real options based method with continuous scaling and we find that there is a unique price limit for initiating the project if the current electricity price is below this limit it is never optimal to invest but above this limit investment is made according to the function for optimal size the connection between the real option and the physical properties of a small hydropower plant is dealt with using a spreadsheet model that performs a technical simulation of the production in a plant based on all the important choices for such a plant the main results of the spreadsheet are simulated production size and the investment costs which are in turn used for finding the value of the real option and the price limit the method is illustrated on three different norwegian small hydropower projects

the impact of chinese carbon emission trading scheme ets on low carbon energy lce investment china is planning to introduce emission trading scheme ets to decrease co2 emission as low carbon energy lce will play a pivotal role in reducing co2 emissions our paper is to assess the extent and the conditions under which a carbon ets can deliver lce investment in china we chose wind technology as a case study and a real option based model was built to explore the impact of a number of variables and design features on investment decisions e g carbon and electricity price carbon market risk carbon price floor and ceiling and on grid ratio we compute critical values of these variables and features and explore trade offs among them according to our work a carbon ets has a significant effect on wind power plant investment although it cannot support investment in wind power on its own carbon price stabilization mechanisms such as carbon price floor can significantly improve the effect of carbon ets but the critical floor to support investment is still much higher than the carbon price in china pilot etss our results show that other policy measures will be needed to promote low carbon energy development in china

the rational effect of price promotions on sales and consumption we explore the rational effect of price variation on sales and consumption in markets where consumers are uncertain about the future price of goods we first derive an optimal ordering policy which expresses the amount a consumer should purchase and consume in a given period as a function of the observed price of the good the distribution of future prices and the nature of his or her inventory this policy extends previous normative models of inventory control such as those by golabi 1985 and kalymon 1970 to the case where the amount to consume in a given period is an explicit decision variable and prices follow a first order stochastic process we then use this model to explore how changes in the long run frequency and temporal correlations of price promotions should normatively affect the contemporaneous relationship between purchase consumption and price among the predictions which follow from the model are that consumption should rationally increase with the size of existing inventories the short term sensitivity of sales to prices should be greater than that of consumption to price and this discrepancy increases with decreases in the temporal correlation of price deals and the long term relative frequency of price deals

a real options model for renewable energy investment with application to solar photovoltaic power generation in china this paper proposes a real options model for evaluating renewable energy investment by considering uncertain factors such as co2 price non renewable energy cost investment cost and market price of electricity a phase out mechanism is built into the model to reflect the long term changes of subsidy policy we apply the proposed model to empirically evaluate the investment value and optimal timing for solar photovoltaic power generation in china our empirical results show that the current investment environment in china may not be able to attract immediate investment while the development of carbon market helps advance the optimal investment time a sensitivity analysis is conducted to investigate the dynamics of investment value and optimal timing under the changes of unit generating capacity subsidy level market price of electricity co2 price and investment cost it is found that the high investment cost and the volatility of electricity and co2 prices are not conducive to attract immediate investment instead increasing the level of subsidy promoting technological progress and maintaining the stability of market are useful to stimulate investment

dynamics of a retail market with search processes in spite of the existence of many stimulating publications the study of market dynamics still lacks rigour and coherence the paper develops a family of models in which i buyers and sellers have initially no information on the conditions prevailing on the market but acquire progressively this information out of their own observations ii buyers look for retailers in order to buy at the lowest possible price iii every seller chooses at the beginning of a period the quantity he will put on sale and at which price the interest of the paper is to give precise conditions under which the market converges towards a stable state and to show that depending on some assumptions these stable states exhibit very different properties since they may be multiple or unique and characterized by a price dispersion or by a single price this price being the monopoly price the perfect competition price or a price in between

the effect of uncertainty on investment timing in a real options model abstract this paper examines the effect of uncertainty on investment timing in a canonical real options model we show that the critical value of a project that triggers the exercise of the investment option exhibits a u shaped pattern against the volatility of the project this is due to the two countervailing risk and return factors in effect we further show that such a u shaped pattern is inherited by the expected time to exercise the investment option thus for relatively safe projects greater uncertainty shortens the expected exercise time and thus enhances investment this is in sharp contrast to the negative investment uncertainty relationship commonly found in the extant literature finally we show that the positive investment uncertainty relationship is more likely for high growth projects than for low growth projects

on the investment uncertainty relationship in a real options model abstract it appears to be widely accepted in the real options literature that an increase in uncertainty should have an inhibiting effect on investment our article demonstrates that the notion of a negative uncertainty investment relationship is not always correct we show that in certain situations an increase in uncertainty can actually increase the probability of investing and thereby have a positive impact on investment

application of real options valuation for analysing the impact of public r d financing on renewable energy projects a company s perspective abstract this paper contrasts the financial benefit of grants given to research and development projects with the reduction in managerial flexibility they impose which implies a loss in the value of the project to quantify this loss of value real options analysis has been adopted as the most suitable framework to assess and quantify managerial flexibility this idea is illustrated by the case of a research and development project in renewable energy specifically concentrated solar power our results show that the value added by the grants is less than the nominal incentives received as a result of the loss of flexibility for managers they cannot apply certain options such as deferral nor can they abandon the project therefore a break even grant is proposed that equals the financial incentive with the loss of managerial flexibility under this break even point the grant should be rejected this paper will create awareness for both policy makers and private companies regarding a more accurate assessment of grants to research and development funding as well as provide insights to improve grant schemes without increasing the amount of public funds

analyzing the effect of the inventory policy on order and inventory variability with linear control theory in this paper we apply linear control theory to study the effect of various inventory policies on order and inventory variability which are key drivers of supply chain performance in particular we study a two echelon supply chain with a stationary demand pattern under the influence of three inventory policies an inventory on hand policy that bases orders on the visible inventory at an installation an installation stock policy that bases orders on the inventory position on hand plus on order inventory at an installation and an echelon stock policy that bases orders on the inventory position at that installation and all downstream installations we prove analytically that the inventory on hand policy is unstable in practical settings confirming analytically what has been observed in experimental settings and in practice we also prove that the installation stock and echelon stock policies are stable and analyze their effect on order and inventory fluctuation specifically we show the general superiority of the echelon stock in our setting and demonstrate analytically the effect of forecasting parameters on order and inventory fluctuations confirming the results in other research

investment under alternative return assumptions comparing random walks and mean reversion abstract many recent theoretical papers have come under attack for modeling prices as geometric brownian motion this process can diverge over time implying that firms facing this price process can earn infinite profits we explore the significance of this attack and contrast investment under geometric brownian motion with investment assuming mean reversion while analytically more complex mean reversion in many cases is a more plausible assumption allowing for supply responses to increasing prices we show that cumulative investment is generally unaffected by the use of a mean reversion process rather than geometric brownian motion and provide an explanation for this result

quantitative study on long term global solar photovoltaic market abstract this paper analyzes the relationship between the declines in solar photovoltaic pv module costs and cumulative production silicon prices supply demand imbalance and the presence of lower cost chinese products in global pv market using learning curve model state of market development and its connection with learning is also examined results indicate that learning effect is best measured when supplementing output with silicon prices in the analysis learning rate lr diminishes over the time periods examined thereby suggesting the declining of progress as market reaches maturity the outcomes from the learning curve analysis are subsequently applied to project future uptake of pv worldwide module and electricity costs till 2035 demand for pv is anticipated to remain robust with cumulative installed capacity worldwide projected to reach 659 gw by 2035 at the same time module cost is estimated to decline from 3 8 w in 2006 to 1 78 w in 2035 a reduction of over 50 relative to 2006 level unit cost of electricity from pv is predicted to be in the range of 0 13 kwh to 0 17 kwh by 2035 for the three scenarios analyzed

information distortion in a supply chain the bullwhip effect this article originally appeared in management science april 1997 volume 43 number 4 pp 546 558 published by the institute of management sciences consider a series of companies in a supply chain each of whom orders from its immediate upstream member in this setting inbound orders from a downstream member serve as a valuable informational input to upstream production and inventory decisions this paper claims that the information transferred in the form of orders tends to be distorted and can misguide upstream members in their inventory and production decisions in particular the variance of orders may be larger than that of sales and distortion tends to increase as one moves upstream a phenomenon termed bullwhip effect this paper analyzes four sources of the bullwhip effect demand signal processing rationing game order batching and price variations actions that can be taken to mitigate the detrimental impact of this distortion are also discussed

enhancing renewable and sustainable energy development based on an options based policy evaluation framework case study of wind energy technology in taiwan global warming and climate change have shifted the focus of industrial development towards low carbon renewable energy re as evidence by global efforts to develop re based sustainable energy policies however the generally cost ineffective nature of re investments explains continued governmental subsidies and draft assistance measures to encourage related industrial development reduce research and development r d costs and increase innovativeness besides measures to accelerate supply and reduced demand for energy sustainable energy policies must enact thoroughly planned legal and regulatory mechanisms notable examples of establishing a legal basis for a low carbon society in taiwan include the energy management act renewable energy development bill greenhouse gas reduction act draft and energy tax act draft however such legislative efforts occasionally conflict or compete with each other warranting further integration additionally re technologies are characterized by high r d costs long term planning and high investment risks therefore based on global trends in wind power development and related policy planning this study analyzes the feasibility of implementing management strategies in the development process and the correlations between such strategies additionally the achievements polices functions mechanisms promotion measures and future plans for related renewable and sustainable energy laws in taiwan is thoroughly reviewed an options based policy evaluation framework is also constructed based on governmental administrative considerations moreover the characteristics of options that lead to unforeseen circumstances during the planning of re development policies are discussed allowing us to derive real time response measures with a decision making value results of this study provide a valuable reference for governmental efforts to evaluate the merits and limitations of related policies concisely ultimately facilitating the formulation of re development policies

optimal design of subsidy to stimulate renewable energy investments the case of china this paper proposes a real options model for estimating the optimal subsidy for renewable energy power generation project by using stochastic process to describe the market price of electricity co2 price and investment cost two indicators i e project value and threshold value are used to derive the optimal subsidy the least squares monte carlo simulation method is used to solve the model the proposed model is used to empirically evaluate the optimal level of subsidy for solar photovoltaic power generation in china the results show that carbon emission trading scheme helps reduce subsidy unit generating capacity market price of electricity co2 price and the volatility of investment cost are negatively related with subsidy whereas investment cost and the volatility of electricity price and co2 price are positively related with subsidy it is suggested that chinese governments take some measures e g promoting technological progress establishing a nationwide carbon emission trading market promoting the competition in renewable energy industry as well as maintaining the stability of co2 price and electricity price to reduce the required subsidy

production smoothing in the japanese vehicle industry abstract physical data from the japanese vehicle industry covering monthly observations from 1985 1 to 1994 12 are investigated across nine goods ranging from bicycles to large buses smaller variance of production is found relative to sales across all goods for unadjusted data and in 17 out of 18 cases for seasonally adjusted data such evidence in favor of the production smoothing model psm is confirmed by full information maximum likelihood employed jointly on inventories and sales equations the estimates suggest the industry operates in the range of increasing marginal costs in six out of nine goods positive costs of being away from targeted inventory are also present in six out of these nine goods which make the psm a good description of this industry

a real option analysis of investments in hydropower the case of norway abstract this paper presents a valuation study of hydropower investment opportunities in the norwegian context according to nve norwegian water resources and energy directorate the regulator there is a potential of 39 twh not yet developed generation in a normal year is approximately 120 twh by using the conceptual real option framework of dixit and pindyck 1994 investment under uncertainty princeton university press princeton nj one can estimate the value of investment opportunities to nok 11 million gwh eur 1 4 million gwh furthermore the optimal trigger price for initiating an investment based on electricity forward prices is calculated to nok 0 32 kwh eur 0 04 kwh the analysis shows consistency between real option theory and aggregate investment behaviour in norwegian hydropower

a real options evaluation model for the diffusion prospects of new renewable power generation technologies this study presents a policy planning model that integrates learning curve information on renewable power generation technologies into a dynamic programming formulation featuring real options analysis the model recursively evaluates a set of investment alternatives on a year by year basis thereby taking into account that the flexibility to delay an irreversible investment expenditure can profoundly affect the diffusion prospects of renewable power generation technologies price uncertainty is introduced through stochastic processes for the average wholesale price of electricity and for input fuel prices demand for electricity is assumed to be increasingly price sensitive as the electricity market deregulation proceeds reflecting new options of consumers to react to electricity price changes such as time of use pricing unbundled electricity services and choice of supplier the empirical analysis is based on data for the turkish electricity supply industry apart from general implications for policy making it provides some interesting insights about the impact of uncertainty and technical change on the diffusion of various emerging renewable energy technologies

impact of flexibility in public r d funding how real options could avoid the crowding out effect abstract this paper explores new mechanisms to ensure grants are additional to private research and development investment with no displacing or crowding out effect our results indicate that by studying the flexibility embedded in these type of projects using the real options framework it is possible to reduce the size of grants given by financing bodies while remaining equally attractive to companies this result is reached due to the higher flexibility provided in potential new grant schemes in addition to the obvious consequence of less expensive public r d funding there are other side benefits to this new scheme such as avoiding the crowding out effect while also allowing more honest and sincere research and development investment by companies because they are sharing the risk with the funding body this paper presents a case study an r d project carried out in the concentrated solar power sector in which we propose and calculate the effect of providing the grant 2 years earlier with a sensitivity analysis performed over the discount rate volatility and first commercial revenue this paper may encourage funding bodies to consider implementing alternative grant schemes valuing the flexibility embedded in r d projects

portfolio applications in electricity markets review private investor and manager perspective trends abstract the private sector plays a major role in the expansion and operation of power systems in most countries especially those running liberalized electricity markets policymakers have the task of inducing private agents through their regulatory designs to make decisions that point toward social welfare maximization conversely it is a task of private agents to protect themselves against the risks of the sector including regulatory risks international fuel price uncertainty climate change policies natural resource availability electricity demand uncertainty co2 clearance prices etc instead of hiding all of these risks within the total project costs and losing competitiveness private agents can use diversification as a strategy to deal with them this paper presents a review of the main applications voids and challenges of portfolio optimization for two key agents of the private sector investors and managers the problem of the investor is to design a technology portfolio to invest in that maximizes its expected returns and limits risks while the manager has to design a portfolio of financial physical instruments long term contracts futures etc to sell buy electricity and hedge against price risks we have found two fundamental issues in the literature the first and most important is excessive confidence in historical data and statistical analysis for predicting future price behavior for a changing future in detriment of more structural analysis structural analysis can include particularities of modern power systems such as future transmission changes congestion operational constraints ramps new entrants new technologies and new demand grow patterns that cannot be taken into account by simply analyzing price historical values the second is the omission of renewable complementarities which is a proven characteristic of dispersed renewable plants that may have important risk mitigation effects although it has largely been ignored in portfolio analysis due to insufficient data modeling limitations and computational complexity

study on carbon capture and storage ccs investment decision making based on real options for china s coal fired power plants in this paper a quadrinomial model based on the theory of real options is developed to evaluate the investment in carbon capture and storage ccs retrofitting for existing coal fired power plants in china uncertainties in carbon price fossil fuel price investment cost and government subsidy are considered an existing typical 600 mw supercritical pulverized coal fired scpc plant is taken as a case study to illustrate the proposed model and the effects of government subsidy under different scenarios on the critical carbon price to invest in ccs are analyzed the results indicate that the real options approach has an advantage over the application of traditional net present value npv method when handling uncertainty and government subsidy has significant effects on reducing critical carbon price for investment in ccs the critical carbon prices are 103 56 rmb ton with 100 subsidy and 217 95 rmb ton without subsidy while the current average carbon price is 85 2 rmb ton this means that the current trading environment is not positive enough to attract investment in ccs retrofitting these conclusions provide theoretical foundation for decision making of ccs investment and related policy making

transfer function analysis of forecasting induced bullwhip in supply chains the present paper analyses the bullwhip problem generated by exponential smoothing algorithms in both stand alone passing on orders mode and within inventory controlled feedback systems results are predicted from transfer function analysis and then confirmed by simulation via the bullwhip explorer supply chain software a novel feature of the paper is the introduction of the matched filter concept into the exponential smoothing algorithm this adjusts the value of the smoothing constant depending on whether the constant linear or quadratic forecasting model is used it is shown that matching the filter via noise bandwidth equalises the output variance when the demand is a random signal hence some of the unwanted effects of using the linear and quadratic forecasting models are attenuated however there is little benefit obtained by using sophisticated forecasting methods within inventory controlled feedback systems as their tracking ability is reduced

short term generation asset valuation a real options approach this paper discusses using real options to value power plants with unit commitment constraints over a short term period we formulate the problem as a multistage stochastic problem and propose a solution procedure that integrates forward moving monte carlo simulation with backward moving dynamic programming we assume that the power plant operator maximizes expected profit by deciding in each hour whether or not to run the unit that a certain lead time for commitment and decommitment decisions is necessary to start up and shut down a unit and that these commitment decisions once made are subject to physical constraints such as minimum uptime and downtime we also account for the costs associated with starting up and shutting down a unit last we assume that there are hourly markets for both electricity and the fuel used by the generator and that their prices follow ito processes using numerical simulation we show that failure to consider physical constraints may significantly overvalue a power plant

on the sign of the investment uncertainty relationship understanding the effects of uncertainty over any decision variable has fascinated economists for a long time risk aversion and incomplete markets are likely to make the investment uncertainty relationship negative e g roger craine 1989 joseph zeira 1989 what happens in the absence of risk aversion and incomplete markets is however ambiguous richard hartman 1972 and andrew b abel 1983 1984 1985 found that in the presence of symmetric convex costs of adjustment mean preserving increases in price uncertainty raise investment of a competitive firm as long as the profit function is convex in prices on the other hand the recent literature on irreversible investment e g robert s pindyck 1988 giuseppe bertola 1988 has shown that increases in uncertainty lower investment all these results have been derived under either risk neutrality or complete markets intuition suggests that the explanation for such a difference lies with the asymmetric nature of adjustment costs in the irreversible investment case as compared with the symmetry of the adjustment cost mechanisms proposed by abel and hartman although this intuition is confirmed in this paper asymmetric adjustment costs are shown not to be sufficient to explain why the results differ in fact a more hidden but at least as important difference between these two literatures is that the former assumes perfect competition and constant returns to scale whereas the latter assumes either imperfect competition or decreasing returns to scale or both 2 the purpose of this paper is to highlight the role of the decreasing marginal return to capital assumption due to either imperfect competition or decreasing returns to scale or both in determining the effects of adjustment cost asymmetries on the sign of the response of investment to changes in uncertainty under risk neutrality for this the paper develops a simple model with a cost of adjustment mechanism general enough to consider both symmetric convexity and irreversibility as special cases one of the most important findings is the lack of robustness of the negative relationship between investment and uncertainty under asymmetric adjustment costs3 to changes in the degree of competition in fact when firms are nearly competitive the conclusion of hartman and of abel holds no matter how asymmetric adjustment costs are studying adjustment cost mechanisms has a central role in understanding the dynamics of investment and its business cycle implications but conclusive results about the sign of the instantaneous relationship between uncertainty and investment should not be department of economics columbia university new york ny 10027 i am grateful to giuseppe bertola prajit dutta glen hubbard anil kashyap richard lyons and the referees for their useful comments 1the financial literature on investment has considered risk aversion through a premium in the discount rate determined by the capm capital asset pricing model intertemporal capm or consumption capm however often this discount rate is left unchanged when studying the response of investment to uncertainty changes e g pindyck 1988 pp 974 5 thereby omitting the effect of changes in uncertainty on investment due to risk aversion and incomplete markets 2in the typical version of the irreversible investment problem there is no cost of upward adjustments thus imperfect competition and or decreasing returns to scale are required to bound the size of the firm 3in this paper asymmetric adjustment cost refers to the case in which it is more expensive to adjust downward than upward certainly the opposite case is a trivial extension of the case studied in this paper

renewable energy investments under different support schemes a real options approach abstract this paper adopts a real options approach to analyze investment timing and capacity choice for renewable energy projects under different support schemes the main purpose is to examine investment behavior under the most extensively employed support schemes namely feed in tariffs and renewable energy certificate trading we consider both multiple sources of uncertainty under each support scheme and uncertainty with respect to any change of support scheme and we obtain both analytical when possible and numerical solutions in a nordic case study based on wind power we find that the feed in tariff encourages earlier investment nevertheless as investment has been undertaken renewable energy certificate trading creates incentives for larger projects in our baseline scenario and taking the fixed feed in tariff as a base the revenue required to trigger investments is 61 higher with renewable certificates at the same time investment capacity is 61 higher

european co2 prices and carbon capture investments we assess the option to install a carbon capture and storage ccs unit in a coal fired power plant operating in a carbon constrained environment we consider two sources of risk namely the price of emission allowance and the price of the electricity output first we analyse the performance of the eu market for co2 emission allowances specifically we focus on the contracts maturing in the kyoto protocol s first commitment period 2008 to 2012 and calibrate the underlying parameters of the allowance price process then we refer to the spanish wholesale electricity market and calibrate the parameters of the electricity price process we use a two dimensional binomial lattice to derive the optimal investment rule in particular we obtain the trigger allowance prices above which it is optimal to install the capture unit immediately we further analyse the effect of changes in several variables on these critical prices among them allowance price volatility and a hypothetical government subsidy we conclude that at current permit prices immediate installation does not seem justified from a financial point of view this need not be the case though if carbon market parameters change dramatically carbon capture technology undergoes significant improvements and or a specific governmental policy to promote these units is adopted

government subsidies for the chinese photovoltaic industry abstract since 2009 the subsidy for large scale photovoltaic pv power plants had been launched which effectively promoted the development of pv industry at the same time negative effects like serious oversupply of pv industry were brought about by these large scale governmental subsidies although governmental subsidy strongly supports the china pv companies few of them have competitiveness in the global market this dramatically conflictive phenomenon attracted many researchers attentions in recent years however investigations on the best entry and exit occasions of governmental subsidies for the pv industry were rarely reported in previous studies therefore based on the existing division method of enterprise development model classification of 72 pv companies listed in shanghai and shenzhen stock exchanges in china was firstly carried out in this paper this is followed by studying the influence of governmental subsidies on the indexes of different stages of enterprise development finally a conclusion was drawn that the governmental subsidies at early exploratory stage can maximize the social and economic effects suggesting the best entry occasion and subsidies at intermediate stage and mature stage have little effects on its turnover and aggravate the overcapacity of pv supply suggesting a suitable exit occasion

the extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015 in 1994 through classic control theory john naim and towill developed the automatic pipeline inventory and order based production control system apiobpcs which extended the original iobpcs archetype developed by towill in 1982 well recognised as a base framework for a production planning and control system due to the prevalence of the two original models in the last three decades in the academic and industrial communities this paper aims to systematically review how the iobpcs archetypes have been adopted exploited and adapted to study the dynamics of individual production planning and control systems and whole supply chains using various databases such as scopus web of science google scholar 111 papers we found that the iobpcs archetypes have been studied regarding the a modification of four inherent policies related to forecasting inventory lead time and pipeline to create a family of models b adoption of the iobpcs family to reduce supply chain dynamics and in particular bullwhip c extension of the iobpcs family to represent different supply chain scenarios such as order book based production control and closed loop processes simulation is the most popular method adopted by researchers and the number of works based on discrete time based methods is greater than those utilising continuous time approaches most studies are conceptual with limited practical applications described future research needs to focus on cost flexibility and sustainability in the context of supply chain dynamics and although there are a few existing studies more analytical approaches are required to gain robust insights into the influence of nonlinear elements on supply chain behaviour also empirical exploitation of the existing models is recommended

valuing investment decisions of renewable energy projects considering changing volatility abstract volatility is an important parameter when evaluating investments using the real options method for renewable energy investments the volatility of cash flow continuously changes because as new information and knowledge are gathered there is less foreseen variation this paper proposes an extended recombining trinomial tree model where the changing volatility is used to generate transition probabilities the changing volatility is generated using a consolidation process where multiple random variables including the market price of electricity carbon price and lending rate are integrated into a low dimension stochastic process a two factor learning curve is used to model the changes of investment cost we apply the proposed model to analyze solar photovoltaic pv power generation investment in china the results show volatility with changing feature compared with constant volatility changing volatility may advance investment decisions and change the project value complete grid parity policy in the solar pv industry is infeasible because the opportunity cost brought by the option of delaying cannot be offset the changing volatility may produce a lower and equally effective subsidy level compared with constant volatility a carbon emission trading scheme is helpful in advancing investments in renewable energy which is reflected in improvements in project value advancements in investment decisions and reductions in the required subsidy level

price dispersion and stockpiling by consumers this paper presents a model of equilibrium price dispersion in which buyers do not search however they are able to store the non durable commodity for future use such behaviour implies sellers demand curves are endogenously generated by the observed price distribution equilibrium is shown to exist although more than one price may be charged in equilibrium the monopoly price will occur with positive probability comparative static results are derived with a linear version of the model some of which are perverse this paper demonstrates that the possibility of stockpiling of a commodity by consumers can cause equilibrium price dispersion in the market for that commodity this dispersion may occur even when all consumers are identical all firms have identical cost functions and no search takes place thus the stockpiling model presented here provides an alternative explanation of phenomena explained by the more familiar search models of course one expects that storage and search both occur in many markets salop and stiglitz 1982 develop a simple stockpiling model similar to the one presented here and discuss the role that search might play the main point developed here also emphasized in salop and stiglitz 1982 is that price dispersion may occur despite the complete symmetry among sellers and among buyers most search models rely on differences among buyers or among sellers to generate multiple price equilibria the stockpiling model demonstrates such heterogeneity is not necessary each firm has the same cost curve and faces the same demand curve in equilibrium firms choose a price where the demand curve is tangent to the average cost curve thus for there to be price dispersion more than one such tangency must exist that may be the case when stockpiling occurs for then the demand curves are endogenous they are generated by the stocks of goods held by buyers which themselves depend on the observed price distribution and under reasonably weak assumptions a property of the equilibrium price distribution is that the demand curves it generates be tangent to sellers cost curves at several points in section 1 of this paper optimal storage rules for buyers are developed section 2 uses these rules to derive market demand curves in section 3 conditions for equilibrium are presented and in section 4 the possibility of that equilibrium involving only one price is discussed section 5 proves an equilibrium must exist section 6 gives examples of two price equilibria and presents some comparative statics with a simple linearized version of the model some of these comparative results are quite surprising and show the policy implications of stockpiling models may differ from alternative models of price dispersion prior to the formal analysis a brief discussion of the assumptions of the model seem in order buyers are assumed to visit exactly one seller in each period they live forever and consume exactly one unit of the commodity in each period if its price does not

understanding the relation between accruals and volatility a real options based investment approach abstract accruals are fundamental to financial reporting and are the underlying innovation of accounting despite this accounting research has provided little understanding of how economic forces affect a firm s level of accruals and limited guidance for forming expectations of accruals based on ex ante firm characteristics we consider accruals as a form of investment and examine whether theoretical predictions from a real options based investment framework provide insight into the relation between accruals and the ex ante expected volatility faced by the firm specifically the theory predicts that higher volatility dampens investment because firms prefer to wait and see instead of investing immediately consistent with this theory we document a robust negative relation between year ahead net working capital accruals and expected volatility we also predict and find that the negative association between year ahead net working capital accruals and expected volatility is less pronounced for distressed firms and more pronounced for firms with a longer operating cycle and that current asset accruals are more sensitive to volatility than current liability accruals finally we find that the residuals from an investment based expected accrual model outperform those from the widely used performance adjusted modified jones model in identifying companies that just meet or beat analysts earnings forecasts collectively our findings suggest that the investment perspective of accruals and in particular the real options based investment framework provide useful insights for forming expectations of accruals

technological change and the timing of mitigation measures we use a coupled carbon cycle and energy systems engineering model to analyze the future time path of carbon emissions under an illustrative co2 concentration stabilization limit of 550 ppm our findings confirm the emission pattern as found by wre global emissions rise initially pass through stabilization in order to decline in the second half of the 21st century we show that for a given co2 concentration target emission trajectories within an intertemporal optimization framework depend mainly on two factors the discount rate and the representation of technological change as either static or dynamic we obtain a similar near term emission time path as wre when using a model with static technology and a discount rate of 7 we obtain a trajectory with lower emissions in the near term when using a lower discount rate and or treating technology dynamics endogenously in the model we briefly outline a model that endogenizes technological change through learning curves we then compare differences in emission trajectories between alternative model formulations of technological change they are sufficiently small as to be of secondary importance when compared to treating co2 concentration stabilization as an inter temporal optimization problem or not whereas our results confirm the computational results of wre we arrive nonetheless at different policy conclusions if long term emission reduction is the goal we cannot follow business as usual even in the short term action needs to start now action does not necessarily mean aggressive short term emission reductions but rather enhanced r d and technology demonstration efforts that stimulate technological learning these are the necessary preconditions that long term reduction targets can be met with improved technology and at costs lower than today we close by pointing out two further critical issues uncertainty and the possible mismatch between the world of economic models and that of climate policy

using the binomial model for the valuation of real options in computing optimal subsidies for chinese renewable energy investments abstract for the valuation and implementation of renewable energy investments the issue of providing private investors with a financial incentive to accelerate their investment is frequently a critical component we apply this principle to the chinese context this paper focuses on using the binomial model to compute the required subsidy that would incentivize investors to optimal immediate exercise of the american style option embedded at the launching phase of the projects for chinese renewable energy investments in addition this paper also aims at contrasting the binomial model with the more laborious monte carlo simulation previously used to evaluate the proper subsidy by using the same data but a different method and reducing the number of uncertain factors to one it is suggested these two methods have similar outcomes but the binomial method requires substantially less computation and is more self explanatory this paper thus provides government with an easy to implement alternative way to compute the required subsidy

on bullwhip in supply chains historical review present practice and expected future impact abstract demand amplification or bullwhip as it is now called is not a new phenomenon since evidence of its existence has been recorded at least as far back as the start of the 20th century and is well known to economists yet industry worldwide still has to cope with bullwhip measured not just in terms of the 2 1 amplification which is frequently quoted but sometimes it is as high as 20 1 from end to end in the supply chain this can be very costly in terms of capacity on costs and stock out costs on the upswing and stockholding and obsolescence costs on the downswing in this paper we have identified 10 published causes of bullwhip all of which are capable of elimination by re engineering the supply chain we offer evidence on the present health of a family of supply chains and pinpoint much good practice this is in anticipation that such excellence will become normative in the near future as the learning experience gathers momentum and provided that human factors are properly addressed

investment under uncertainty the case of replacement investment decisions we analyze the determinants of replacement investment decisions in a contingent claims model with maintenance and operation cost uncertainty we find that the optimal time between replacements is increasing in the volatility of cost the purchase price of a new asset and the corporate tax rate and is decreasing in the systematic risk of cost the salvage value of the asset and the investment tax credit the optimal time between replacements can either increase or decrease with an increase in the depreciation rate extensions of the model to examine the effects of technological and tax policy uncertainty on replacement investment decisions give intuitive but striking results uncertainty about the arrival of a technological innovation that would decrease maintenance and operation cost results in a significant decrease in replacement investment uncertainty in a tax law change that would encourage investment decreases current investment and uncertainty in a tax law change that would discourage investment increases current investment

evaluating the power investment options with uncertainty in climate policy abstract this paper uses a real options approach roa for analysing the effects of government climate policy uncertainty on private investors decision making in the power sector it presents an analysis undertaken by the international energy agency iea that implements roa within a dynamic programming approach for technology investment choice case studies for gas coal and nuclear power investment are undertaken with the model illustrative results from the model indicate four broad conclusions i climate change policy risks can become large if there is only a short time between a future climate policy event such as post 2012 and the time when the investment decision is being made ii the way in which co 2 and fuel price variations feed through to electricity price variations is an important determinant of the overall investment risk that companies will face iii investment risks vary according to the technology being considered with nuclear power appearing to be particularly exposed to fuel and co 2 price risks under various assumptions and iv the government will be able to reduce investors risks by implementing long term say 10 years rather than short term say 5 years climate change policy frameworks contributions of this study include 1 having created a step function with stochastic volume of jump at a particular time to simulate carbon price shock under a particular climate policy event 2 quantifying the implicit risk premium of carbon price uncertainty to investors in new capacity 3 evaluating carbon price risk alongside energy price risk in investment decision making and 4 demonstrating roa to be a useful tool to quantify the impacts of climate change policy uncertainty on power investment

real option valuation in renewable energy literature research focus trends and design abstract in light of intensive development of the renewable energy re sector a growing number of academic papers address the complexity of re investment planning and valuation to take account of the high risk profile and irreversibility of re investments researchers have resorted to sophisticated real options ro approaches that enable flexibility to be incorporated into project design in the face of an uncertain environment the variety of different frameworks and models adopted as well as a lack of aggregated analysis of the field suggest a need for a critical review of ro methodology and design in re assessment this study describes the research focus trends and design found in contemporary academic literature devoted to re valuation with a ro approach particular attention is given to ro in project and policy design the results give a comprehensive picture of existing research on the topic thus providing researchers with a solid foundation for further study and indications of directions for future development furthermore the findings provide policymakers and project planners with valuable insights into key aspects of re project and policy design

optimal feed in tariff for solar photovoltaic power generation in china a real options analysis abstract the feed in tariff policy is widely used to promote the development of renewable energy china also adopts feed in tariff policy to attract greater investment in solar photovoltaic power generation this study employs real options method to assess the optimal levels of feed in tariffs in 30 provinces of china the uncertainties in co 2 price and investment cost are considered a method that integrates the backward dynamic programming algorithm and least squares monte carlo method is used to solve the model the results demonstrate that the feed in tariffs of 30 provinces range from 0 68 rmb kwh to 1 71 rmb kwh and the average level is 1 01 rmb kwh on this basis we find that the levels of sub regional feed in tariff announced in 2013 are no longer appropriate and should be adjusted as soon as possible we have also identified the implications of technological progress and carbon emission trading schemes as well as the importance of strengthening electricity transmission it has been suggested that the chinese government takes diverse measures including increasing research and development investment establishing and improving a nationwide carbon emission trading scheme and accelerating the construction of electricity transmission infrastructure to reduce the required feed in tariff and promote the development of solar photovoltaic power generation

valuing chinese feed in tariffs program for solar power generation a real options analysis newhuadu business school research fund china sustainable energy program g 1305 18257 national social science foundation of china 12zd059 ministry of education 10gbj013

a lattice framework for option pricing with two state variables a procedure is developed for the valuation of options when there are two underlying state variables the approach involves an extension of the lattice binomial approach developed by cox ross and rubinstein to value options on a single asset details are given on how the jump probabilities and jump amplitudes may be obtained when there are two state variables this procedure can be used to price any contingent claim whose payoff is a piece wise linear function of two underlying state variables provided these two variables have a bivariate lognormal distribution the accuracy of the method is illustrated by valuing options on the maximum and minimum of two assets and comparing the results for cases in which an exact solution has been obtained for european options one advantage of the lattice approach is that it handles the early exercise feature of american options in addition it should be possible to use this approach to value a number of financial instruments that have been created in recent years

time to build option value and investment decisions abstract investment decisions and outlays are often made sequentially for example the rate at which construction proceeds is usually flexible and can be adjusted with the arrival of new information traditional discounted cash flow methods which treat the pattern of investment as fixed ignore this flexibility and understate the value of the project this paper uses contingent claims analysis to derive optimal decision rules and to value such investments we determine the effects of time to build opportunity cost and uncertainty on the investment decision for reasonable parameter values we show how a simple npv rule can lead to gross errors

the use of real options approach in energy sector investments abstract energy shortage global warming and climate change led to an increase in the use of alternative sources of energy with renewable energy sources res playing a fundamental role in this new energetic paradigm however the investment costs often constitute a major barrier to their spread use moreover the overall benefits of renewable energy technologies are often not well understood and consequently they are often evaluated to be not as cost effective as traditional technologies from the moment that the energy sector started a deregulation process with a high level of competitiveness and associated increased market uncertainty traditional project evaluation techniques alone became insufficient to properly deal with these additional risk and uncertainty factors the diffusion of the renewable energy technologies is also affected by this feature the way investors evaluate their investments call now for the use of more sophisticated evaluation techniques real options approach can deal with these issues and as so began to be considered and applied for the energy sector decision aid this approach it is now extensively widespread in evaluating investment projects in the energy sector a large set of applications in almost all fields of energy decision making from electricity generation technologies appraisal to policy evaluation is available in the literature however the use of this technique in the field of res is still limited and worth to be analysed this paper addresses this issue a review of the current state of the art in the application of real options approach to investments in non renewable energy sources and res is presented giving perspectives for further research in this field

a pragmatic approach to the design of bullwhip controllers it is well known that forecasting mechanisms can greatly increase bullwhip demand variance amplification of orders as processed by both human and algorithmic decision makers this paper is concerned with the application of the well established apiobpcs decision support system a variant of the order up to rule in such circumstances it has two feedback controls based on the inventory and the orders in pipeline respectively with gains set equal according to the deziel eilon rule there is one feed forward control based on exponential forecasting although this is not a restriction on the application of this system we consider the pragmatic role of apiobpcs in the situation where the echelon decision maker may be handling a wide range of sku s in a non altruistic environment where upmarket information may either be withheld or simply unavailable under such circumstances it has been established via site based studies that the decision makers output the orders reflect a wide range of strategies or maybe ignorance three strategies may be regarded as appropriate i e pass orders along demand smoothing and level scheduling depending on context apiobpcs can be adapted to each of these modus operandi in the first case with the added capability of smoothing the sharp edges with a modicum of inventory variation and in the last case with the advantage of built in trend detection players in non altruistic supply chains must be able to cope with added uncertainties due to lead time variations we show that apiobpcs may be well matched to such situations and is hence copable as well as capable the paper includes recommended parameter settings according to desired decision making policies

choice of nuclear power investments under price uncertainty valuing modularity this work aims at examining how to compare two investment projects in the electricity market the first project is a flexible sequence of small nuclear power plants whereas the second is a nuclear power plant of large capacity we measure the option value generated by the modularity of the first project given the uncertain future competitive price of electricity using a realistic calibration of the model we show that the option value of modularity has a sizeable effect on the optimal dynamic strategy of the producer in particular in terms of the optimal timing of the decision to invest in the first module