short term optimal wind power generation capacity in liberalized electricity markets mainly because of environmental concerns and fuel price uncertainties considerable amounts of wind based generation capacity are being added to some deregulated power systems the rapid wind development registered in some countries has essentially been driven by strong subsidizing programs since wind investments are commonly isolated from market signals installed wind capacity can be higher than optimal leading to distortions of the power prices with a consequent loss of social welfare in this work the influence of wind generation on power prices in the framework of a liberalized electricity market has been assessed by means of stochastic simulation techniques the developed methodology allows investigating the maximal wind capacity that would be profitably deployed if wind investments were subject to market conditions only for this purpose stochastic variables determining power prices are accurately modeled a test system resembling the size and characteristics of the german power system has been selected for this study the expected value of the optimal short term wind capacity is evaluated for a considerable number of random realizations of power prices the impact of dispersing the wind capacity over statistical independent wind sites has also been evaluated the simulation results reveal that fuel prices installation and financing costs of wind investments are very influential parameters on the maximal wind capacity that might be accommodated in a market based manner

the electricity generation adequacy problem assessing dynamic effects of capacity remuneration mechanisms abstract following liberalization reforms the ability of power markets to provide satisfactory incentives for capacity investments has become a major concern in particular current energy markets can exhibit a phenomenon of investment cycles which generate phases of under and over capacity and hence additional costs and risks for generation adequacy to cope with these issues new mechanisms called capacity remuneration mechanisms crm have been or will be implemented this paper assesses the dynamic effects of two crms the capacity market and the strategic reserve mechanism and studies to what extent they can reduce the investment cycles generation costs and shortage costs of both mechanisms are also compared to conclude on their effectivity and economic efficiency a simulation model based on system dynamics is developed to study the functioning of both crms and the related investment decisions the results highlight the benefits of deploying crms to solve the adequacy issue shortages are strongly reduced compared to an energy only market besides the capacity market appears to be more beneficial since it experiences fewer shortages and generation costs are lower these comparisons can be used by policy makers in particular in europe where these two crms are mainly debated to determine which crm to adopt

a review of policy analysis purpose and capabilities of electricity system models abstract the aim of this study is to investigate the ability of electricity system models to provide scenario based insights for policy purposes a framework is built from a review of existing studies of model characteristics and their linkages to model scenario types which are linked to the purpose of policy problem analyses the framework can be used as a tool to structure the examination of electricity system models and guide electricity system model selection and enhancement in light of policy problem driven analyses an illustration of the framework is presented by a review of german electricity model scenario studies the review shows that current models are used for the policy purpose of indicator assessment and instrument comparison by quantification of indicators such as monetary or pollution impacts however they are not suitable to provide the means for option reduction problem exploration and political or societal paradigm change exploration as the endogenous model structure for these is missing a particular lack of endogenous treatment was found for renewable technology capacity change and policies learning and productivity growth based technological change socio political technical interactions and limited demonstrated use of uncertainty treatment techniques

germany s dash for coal exploring drivers and factors abstract the german electricity sector has recently seen extensive planning and construction of new coal fired power plants within a period of only a few years new investments amounting to around 15 of the total sector capacity were brought on the way and plans for a multitude of additional projects are pending this dash for coal in germany has raised considerable public concern especially as it risks to undermine recent political attempts to combat global warming yet the question of why the dash for coal has emerged has not yet been addressed in a thorough analysis this article attempts to close this research gap while at the same time contributing as a case study to the general understanding of investment patterns in liberalized electricity markets it finds that the main reasons for the dash have been 1 replacement requirements due to the nuclear phase out 2 the onset of a new investment cycle in the power market 3 favorable economic and technological prospects for coal compared with natural gas in the long run 4 a status quo bias of investors in regard to future renewable deployment 5 explicit political support for coal and 6 the ineffectiveness of public protest in hampering new projects

nonparametric estimation of entry cost in first price procurement auctions summary in this paper i investigate samuelson s low price auction model with entry costs the model s equilibrium implies that the distribution of bids is truncated at the threshold for participation i use the model to estimate the cost of participation in michigan highway procurement auctions the null hypothesis of zero entry costs is rejected using my empirical results i then construct an estimate of the optimal auction which employs regular policy tools such as entry fees finally i demonstrate the savings that the michigan government could have made on payments if optimal auctions had been employed copyright 2012 john wiley sons ltd

the dynamics of the uk chemical plant investment cycle abstract orders for new chemical plant sanctions and investment in chemical plant both show marked business cycle like variations amongst the effects of the uk cycle on the chemical industry are variations in new plant additions requirements for capital expenditure finance and capital utilization as far as the uk process plant contractors and process plant manufacturers are concerned the cycle is reflected in a varying work load arising from the uk chemical industry together with varying manpower requirements and profitability the project described in this paper involved the construction of both system dynamics and control systems models of the investment cycle as a guide to strategic planning for the industries affected by it the implications of the results from both types of model for corporate and strategic planning in the industries concerned are discussed

assessing the impacts of capacity mechanisms on generation adequacy with dynamic simulations there have been many debates over whether the energy only electricity market will be able to provide a reasonable investment signal so far many diverse designs of capacity mechanisms have been proposed in relation to the adequacy problem researchers have conducted many qualitative studies of capacity mechanisms but quantitative studies have largely been ignored the framework for examining the impacts of market designs on generation adequacy considering various generation technologies have not been maturely developed this paper focuses on developing this framework and finding out how effective capacity mechanisms are in different market conditions to cover investment under uncertainty we will introduce different utility functions representing risk attitudes and apply the expected utility theory to the investment decision finally we will examine the investment decision sensitivity of the risk components such as the risk attitude the error of forecast peak load and the forced outage rate and evaluate the performance of three market designs with dynamic simulations an energy only market a capacity payment model and a capacity demand curve model

winds of change how high wind penetrations will affect investment incentives in the gb electricity sector abstract wind power is widely expected to expand rapidly in britain over the next decade large amounts of variable wind power on the system will increase market risks with prices more volatile and load factors for conventional thermal plant lower and more uncertain this extra market risk may discourage investment in generation capacity financial viability for thermal plant will be increasingly dependent on price spikes during periods of low wind increased price risk will also make investment in other forms of low carbon generation e g nuclear power more challenging a number of policies can reduce the extent to which generators are exposed to market risks and encourage investment however market risks play a fundamental role in shaping efficient investment and dispatch patterns in a liberalised market therefore measures to improve price signals and market functioning such as a stronger carbon price and developing more responsive demand are desirable however the scale of the investment challenge and increased risk mean targeted measures to reduce although not eliminate risk exposure such as capacity mechanisms and fixed price schemes may have increasing merit the challenge for policy is to strike the right balance between market and planned approaches

exploring the options for carbon dioxide mitigation in turkish electric power industry system dynamics approach electric power industry has a huge carbon mitigation potential fundamentally because there are large carbon free renewable resource options in turkey with growing demand in electricity consumption and incentives offered for natural gas fired electricity generation co2 emissions sourced from electric power industry had tripled over the last two decades current governmental strategy focuses on energy security and resource diversity in a growing economy and does not articulate sufficient mitigation targets and appropriate regulations in this research an original dynamic simulation model is built validated and analyzed to explore the options for carbon mitigation in turkish electric power industry model structure represents the investment dispatch and pricing heuristics as well as the natural resource base of electricity generation in turkey it operates on annual basis over 30 years to simulate installed capacities and generations of power plants with alternative resources and their resulting co2 emissions the analysis presented in this paper reveals that there are mitigation options below 50 of business as usual growth with common policy options such as feed in tariffs investment subsidies and carbon taxes the model can serve as an experimental platform for further analysis of problems related to carbon mitigation in turkish electricity sector

search at wholesale auto auctions wholesale trade in used cars is conducted by ascending bid auctions with sale subject to the seller s acceptance of the winning bid one out of three times the seller rejects the bid and no trade takes place i model the seller s decision as the outcome of search and thus determined by the winning bid distribution and a reported retail price this market is ideal for testing search theory since all offers whether or not accepted are observed qualitative predictions of the theory in particular the role of the variance are confirmed the quantitative results are more ambiguous

modeling long term dynamics of electricity markets in the last decade many countries have restructured their electricity industries by introducing competition in their power generation sectors although some restructuring has been regarded as successful the short experience accumulated with liberalized power markets does not allow making any founded assertion about their long term behavior long term prices and long term supply reliability are now center of interest this concerns firms considering investments in generation capacity and regulatory authorities interested in assuring the long term supply adequacy and the stability of power markets in order to gain significant insight into the long term behavior of liberalized power markets in this paper a simulation model based on system dynamics is proposed and the underlying mathematical formulations extensively discussed unlike classical market models based on the assumption that market outcomes replicate the results of a centrally made optimization the approach presented here focuses on replicating the system structure of power markets and the logic of relationships among system components in order to derive its dynamical response the simulations suggest that there might be serious problems to adjust early enough the generation capacity necessary to maintain stable reserve margins and consequently stable long term price levels because of feedback loops embedded in the structure of power markets and the existence of some time lags the long term market development might exhibit a quite volatile behavior by varying some exogenous inputs a sensitivity analysis is carried out to assess the influence of these factors on the long run market dynamics

effect of floating pricing policy an application of system dynamics on oil market after liberalization abstract upon the implementation of the floating price mechanism taiwan s gasoline and diesel prices returned to market mechanism which terminated the phenomenon of the public paying for the losses of the state owned oil company chinese petroleum corporation taiwan cpc furthermore the relatively low production costs of the privately owned formosa petrochemical corporation fpcc disclosed the pricing mechanism of cpc which inspired fpcc to adopt pricing strategy in order to increase the market share this study aims to establish a system dynamics model to analyze the effects of the floating price mechanism on taiwan s gasoline and diesel markets this model is divided into four sub systems the model of this study passed several validation tests and hence is able to provide a virtual laboratory for policy makers to conduct simulation and scenario analysis the simulation results indicate a feedback mechanism of expected revenues and pricing strategy could efficiently simulate the fpcc pricing mechanism b price competition strategy could increase fpcc revenues although the effect on market share is not remarkable and c fpcc has a higher gas station growth rate scenario analyses found a lowering oil security stockpile would not change fpcc s pricing strategy and b fpcc prefers to follow cpc pricing when it has more gas stations

generation capacity adequacy in interdependent electricity markets this paper deals with the practical problems related to long term security of supply in regional electricity markets with transmission constraints differences between regulatory policies and market designs in terms of generation adequacy policies may distort the normal functioning of the neighboring markets as well as the reliability of supply we test the effect of heterogeneous regulatory design between two interdependent markets energy only market price capped market without capacity mechanisms and price capped markets with forward capacity contracts obligation we rely on a long term market simulation model in system dynamics that characterizes expansion decision in a competitive regime the results show that differences in market designs affect both price and reliability of supply in the two markets we examine both the short and long terms effect and how free riding may occur where capacity adequacy policies are adopted in one market but not the other the main finding is that the lack of harmonization between local markets in policies to ensure capacity adequacy may lead to undesirable side effects

dynamic modeling of thermal generation capacity investment application to markets with high wind penetration modeling the dynamics of merchant generation investment in market environments can inform the making of policies whose goals are to promote investment in renewable generation while maintaining security of supply such models need to calculate expected output costs and revenue of thermal generation subject to varying load and random generator outages in a power system with high penetrations of wind this paper presents a dynamic investment simulation model where the short term energy market is simulated using probabilistic production costing using the mix of normals distribution mond technique to represent residual load load net of wind output price mark ups due to market power are accounted for an energy only market setting is used to estimate the economic profitability of investments and forecast the evolution of security of supply simulated results for a great britain gb market case study show a pattern of increased relative security of supply risk during the 2020s in addition many new investments can recover their fixed costs only during years in which more frequent supply shortages push energy prices higher

variability and the duration of search in sequential search models the variability of the offer distribution affects the duration of search in different ways to agents searching for the highest offer increased variability raises the reservation value as shown in kohn and shavell 1974 which raises the expected duration of search increased variability however also raises the likelihood that extreme offer values are observed which lowers the expected duration of search previous studies have examined the net effect of variability on the expected duration of search for specific cases venezia 1980 demonstrates that changes in variability have no net effect on the expected duration of search but this result is shown for a normal distribution in the context of a finite horizon search model without recall and without search costs or discounting lippman and mccall 1986 on the other hand proves that increases in variability raise the expected duration of search in an infinite horizon context with discounting this paper uses a standard search model without learning about the offer distribution that encompasses the models of the above authors it shows how their specific results follow from the one more general principle which establishes that a proportionate mean preserving spread of the offer distribution will raise not change or lower the expected duration of search depending on whether the sum of implicit and explicit search costs is positive zero or negative

on fruitful and futile tests of the relationship between search and price dispersion we exploit cross sectional and temporal differences in search intensity in order to examine the relationship between search costs and price dispersion using a hand collected panel data set from jerusalem s shuk mahane yehuda outdoor market we present empirical evidence that price dispersion increases with the cost of search using several different measures of price dispersion however our interpretation of this finding is sensitive to the search proxy in question we also address several acute difficulties facing empiricists seeking to test theoretical price dispersion models in which consumers are heterogeneous in their search behavior jel l11 l13

optimal adaptive price search consider the problem of a consumer desiring to buy a good which is sold at a variety of prices such a buyer will be able to obtain a sequence of price quotations from various sellers when should the buyer stop searching for a lower price if he continues he may obtain a lower price but he incurs additional time effort and expense in searching the optimal price search decision is one of balancing the expectation of a possibly lower price obtained by continued search against cumulative costs from search when the prices arise from a known probability distribution the optimal search strategy has certain well defined and desirable properties in the more realistic case that the buyer has only partial information about the price distribution and must update his beliefs after observing prices in the marketplace the problem becomes more complex and search strategies become less well behaved the major purpose of this article is to determine new conditions under which optimal policies have these desirable characteristics in the case where the consumer possesses only incomplete information about the distribution of prices price quotations he receives in addition to providing him with price possibilities provide him with information about that distribution rothschild 151 in citing an unpublished paper of gastwirth has noted that small specification errors for an assumed distribution can lead to substantial changes in expected number of searches and expected cost consequently the assumption of a known distribution of prices can have a profound effect on total cost 1 0022 053 l 8 l 040001 20 02 00 o

how auctions work for wine and art interview auctioneers and even to buy a little wine in the meantime i have also had the opportunity with john abowd 1988 to observe and collect data on the auction sale of impressionist and contemporary paintings this paper reports on some of the empirical regularities that i and others have observed in the actual operation of the auction markets for these items in view of the rich and diverse array of theoretical literature on auctions it seems high time economists began to spell out precisely what facts it is meant to explain 2

what are the right policies for electricity supply in middle east a regional dynamic integrated electricity model for the province of yazd in iran energy planning techniques are essential tools in the management of new complex energy systems among different techniques system dynamics is an appropriate technique for the simulation of complex energy systems and the analysis of their dynamism in this paper a regional dynamic integrated electricity model rdiem is developed for a regulated electricity supply system in order to analyze the results of different scenarios and policies and find the right policies for the electricity generation the results of model are validated with a real case in the province of yazd in iran the results show that the balanced growth and the environment oriented policies have the best results among different policies although the application is related to the iranian case the implications are much wider especially in the middle east

the impact of investors risk aversion on the performances of capacity remuneration mechanisms abstract this paper analyses the impact of risk aversion on the performances of capacity remuneration mechanisms with investors facing an uncertain peak load three market designs are studied for this purpose a competitive energy only market a capacity market and a strategic reserve mechanism a simulation model based on system dynamics is developed in order to represent investment decisions and analyse the behaviour of each market design risk aversion is modelled through the computation of conditional value at risk the results are discussed in terms of impact on the reliability ability to limit shortages and cost total generation costs of the studied market designs when comparing the three market designs the capacity market seems to be the least affected by the introduction of risk aversion both in terms of cost and reliability this result suggests that implementing a capacity market is preferable in order to deal with the adverse effects of risk aversion given the simulations and parameters that were used

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

cycles in deregulated electricity markets empirical evidence from two decades abstract in this article we discuss the cycle hypothesis in electricity generation which states that the introduction of deregulation in an electricity system might lead to sustained fluctuations of over and under capacity the occurrence of cycles is one of the major threats for electricity markets as it affects the security of supply and creates uncertainty in both the profitability of electricity companies and in consumer prices we discuss the background for these cycles using analogies with other capital intensive industries along with evidence from the analysis of behavioral simulation models as well as from experimental electricity markets using data from the oldest deregulated markets we find support for the hypothesis in the case of the english and chilean markets based on an autocorrelation analysis evidence from the nordpool market is more ambiguous although we might be observing the first half of a cycle in generation capacity comparing a simulation of the english market performed in 1992 with the actual performance we can observe that the qualitative behavior of the model is consistent with the actual evolution finally we discuss possible mechanisms for damping cycles in electricity generation such as mothballing capacity payments and reliability markets

declining reservation wages and learning empirical studies of job search strongly suggest that the reservation wages of unemployed job seeking individuals decline with the length of their respective unemployment spells previous explanations of this behaviour based on age effects liquidity constraints and limited unemployment benefits are not adequate we provide a new answer to this question based on the reasonable assumption that workers do not have precise knowledge of the distribution of the prevailing wages an individual model of job search and learning is formulated it is shown that the declining trend of reservation wages naturally arises due to the selection process when search costs are not too small the example of a normal wage offer distribution is analysed and the implications are discussed

rational entry into risky markets with negative expected returns the role of biased misestimation of profit potential abstract we extend the theory of negative long run profits in risky industries by incorporating a negatively skewed profit distribution rational behavior with incomplete information is introduced by allowing economic agents to know the median rather than the mean rate of return we compare this to the case involving postdecision bolstering where entrants choose to discount available information on the industry profit distribution monte carlo experiments are tailored to the experience of the u s home building industry

auctions and the price of art the value of most important works of art is established by public auction either directly by an actual sale or indirectly by reference to other sales how the auction system works is thus a critical determinant of how the public s preferences are translated into the evaluation of artistic work the auction system is central in the determination of the incentives for artistic work and the efficiency of the auction system is a key determinant of the cost of creating and distributing works of art this paper contains a review of the burgeoning new research of the last decade that has been designed to shed light on how the art auction system actually works what it indicates about price formation and how well it performs we begin our discussion in section 2 with a short description of the mechanics of the auction system and then organize the remainder of our discussion around two major topics the first topic concerns how auction prices can be used to determine and compare overall price movements within the art market and other markets and the second topic concerns how the auction mechanism influences prices we

simulating the new british electricity market reform abstract the british government is implementing fully its novel electricity market reform gb emr its objective in line with european directives aims at replacing existing nuclear and coal plant with low carbon systems to deliver reliable and affordable power though the gb emr has proposed several policy instruments for meeting its objectives and the academic literature has discussed the main issues no known report includes a comprehensive and dynamic simulation exercise that assesses the extent of this profound and important initiative this paper presents a system dynamics model that supports analysis of long term effects of the various policy instruments that have been proposed in the gb emr focusing on environmental quality security of supply and economic sustainability using lessons learned from simulation the paper concludes that effectively achieving the gb emr objectives requires this comprehensive intervention or a similar one that includes the promotion of low carbon electricity generation through the simultaneous implementation of various direct and indirect incentives such as a carbon price floor a feed in tariff fit and a capacity mechanism

sensitivity of reserve margin to factors influencing investment behaviour in the electricity market of england and wales abstract the electricity generation and distribution industries of england and wales have recently undergone major re structuring as part of the privatization process of taking them out of the public sector on the generation side three major companies have been created which compete both with each other and with the new independent companies who are expected to enter the market trading between generators and distributors is controlled centrally by a pool system which attempts to ensure the optimal operation of the system in the short term and gives a pricing signal for longer term investment this pricing signal depends upon an a priori loss of load probability this paper is intended to provide insights into how the investment in capacity for generation could evolve according to various regulatory conditions economic assumptions degrees of competition and the strategic behaviour of the separate companies using a system dynamics approach a simulation model of investment is developed to generate insights into the volatility of the reserve margin variations in the loss of load probability and the various market share scenarios the degree of uncertainty in the demand the amount of information exchange between competitors and the degree of foresight in planning are considered as well as different financial or market share objectives for companies

fuel mix diversification incentives in liberalized electricity markets a mean variance portfolio theory approach monte carlo simulations of gas coal and nuclear plant investment returns are used as inputs of a mean variance portfolio optimization to identify optimal base load generation portfolios for large electricity generators in liberalized electricity markets we study the impact of fuel electricity and co2 price risks and their degree of correlation on optimal plant portfolios high degrees of correlation between gas and electricity prices as observed in most european markets reduce gas plant risks and make portfolios dominated by gas plant more attractive long term power purchase contracts and or a lower cost of capital can rebalance optimal portfolios towards more diversified portfolios with larger shares of nuclear and coal plants

the effect of long term expansion on the evolution of electricity price numerical analysis of a theoretically optimised electricity market abstract a decision support tool is proposed for optimising the expansion planning of a semi liberalised electricity market whilst the underlying interaction of the generating mix with electricity prices is researched in the long run a nonlinear stochastic programming algorithm is used for handling multiple uncertainties optimising the power sector characteristics both in terms of financial and environmental performance two endogenous models and an exogenous one are analysed and compared the endogenous model results indicate that consumers might benefit by the moderate electricity prices in case the optimal loads and capacity orders are rendered the exogenous model is insensitive to generating mix variations the long term actions suggested for system operators are comprised of the permits issued for new entries they are affected by the evolution of electricity prices since the permits granted for conventional technologies are maintained when their profits are rising the permits granted for renewable technologies are also maintained thus allowing cleaner electricity production to be induced to the grid the optimal bid strategies of generators interact with their dispatching schedule and the diversification of their load curves the relevant bids are primarily driven by the merit order the plants are dispatched in the assigned load levels may be raised in profitable producers so that their profit is maximised they might be restrained instead in case there are no significant prospects for individual profits the lognormal distribution of electricity price results is characterised by increasing variance over time indicating that the model is more robust in the most imminent solutions

on the behavioral and rational foundations of economic dynamics abstract existing uncertainties about the correct explanations for economic growth and business cycles cannot be settled by aggregative analysis within the neoclassical framework current disputes in theory rest largely on ad hoc casually empirical assumptions about departures from perfect rationality under uncertainty such disputes can only be settled by painstaking microeconomic empirical study of human decision making and problem solving microeconomic research of the kinds that are required can receive powerful guidance from the theories of human thinking that have been developed and tested over the past twenty five years by cognitive psychologists

cross border electricity market effects due to price caps in an emission trading system an agent based approach the recent low co2 prices in the european union emission trading scheme eu ets have triggered a discussion whether the eu ets needs to be adjusted we study the effects of co2 price floors and a price ceiling on the dynamic investment pathway of two interlinked electricity markets loosely based on great britain which already has introduced a price floor and on central western europe using an agent based electricity market simulation with endogenous investment and a co2 market including banking we analyse the cross border effects of national policies as well as system wide policy options a common moderate co2 auction reserve price results in a more continuous decarbonisation pathway this reduces co2 price volatility and the occurrence of carbon shortage price periods as well as the average cost to consumers a price ceiling can shield consumers from extreme price shocks these price restrictions do not cause a large risk of an overall emissions overshoot in the long run a national price floor lowers the cost to consumers in the other zone the larger the zone with the price floor the stronger the effect price floors that are too high lead to inefficiencies in investment choices and to higher consumer costs

dynamic analysis of various investment incentives and regional capacity assignment in iranian electricity market this paper develops a system dynamics model to analyze the impacts of different kinds of capacity payment as investment incentive mechanisms in iranian electricity market since it is aimed that the incurred capital and operating costs of generation technologies be recovered in iranian electricity pool the noncompetitive capacity payment mechanism has been introduced for this purpose in order to encourage new investments in electric power generation system in the current mechanism the capacity payments are designated to the generating units in the whole country electricity market an annual base value of capacity payment is proposed based on recovering the capital cost of a benchmark generation technology this value is altered according to the operational reserve in the day ahead electricity market this supporting policy is simulated and analyzed in the proposed dynamic framework in order to track the trend of new investments in the iranian electricity market the feasibility study of implementing the regional capacity assignment is the main focus of this paper different possible regulating policies such as floating rates for capacity payment and electricity price cap the multiple capacity payments to various technologies and the regional electricity market with territorial capacity allocation are examined in order to investigate the consequences and performances of different decisions and policies in the capacity investment of iranian electricity market

labor market search an experimental study the theoretical results derived from models of economic search have implications which relate to the structure and performance of labor markets utilizing a series of laboratory experiments we attempt to capture many of the features of workers search and also the conditions under which labor markets operate by varying certain of the experimental conditions we are able to determine the searchers responses to changes in the terms of unemployment insurance to the existence of a minimum wage and to different states of information about the underlying distribution of wages in most cases the behavior of the searchers is consistent with that predicted by theory

sequencing strategies in large competitive ascending price automobile auctions an experimental examination this paper reports on a large scale field experiment testing strategies available to a seller participating in simultaneous competitive sequential ascending price automobile auctions every other week the seller offered approximately 120 vehicles for sale in an auction environment in which several competitive sellers offered on the order of 3 000 vehicles the experiment tested various sequences in which the seller could offer the vehicles such as high values first or low values first surprisingly and contrary to intuition drawn from the theory of single item and single seller auctions the worst performing sequence from those tested is for the seller to order vehicles from highest to lowest values the best sequence is to group the vehicles by type and offer the low valued vehicles first and then move to offer the higher valued vehicles our conjecture is that this sequence reduces the competition with other sellers for the attention of specialized buyers

sustainable energy systems role of optimization modeling techniques in power generation and supply a review electricity is conceivably the most multipurpose energy carrier in modern global economy and therefore primarily linked to human and economic development energy sector reform is critical to sustainable energy development and includes reviewing and reforming subsidies establishing credible regulatory frameworks developing policy environments through regulatory interventions and creating market based approaches energy security has recently become an important policy driver and privatization of the electricity sector has secured energy supply and provided cheaper energy services in some countries in the short term but has led to contrary effects elsewhere due to increasing competition resulting in deferred investments in plant and infrastructure due to longer term uncertainties on the other hand global dependence on fossil fuels has led to the release of over 1100 gtco2 into the atmosphere since the mid 19th century currently energy related ghg emissions mainly from fossil fuel combustion for heat supply electricity generation and transport account for around 70 of total emissions including carbon dioxide methane and some traces of nitrous oxide this multitude of aspects play a role in societal debate in comparing electricity generating and supply options such as cost ghg emissions radiological and toxicological exposure occupational health and safety employment domestic energy security and social impressions energy systems engineering provides a methodological scientific framework to arrive at realistic integrated solutions to complex energy problems by adopting a holistic systems based approach especially at decision making and planning stage modeling and optimization found widespread applications in the study of physical and chemical systems production planning and scheduling systems location and transportation problems resource allocation in financial systems and engineering design this article reviews the literature on power and supply sector developments and analyzes the role of modeling and optimization in this sector as well as the future prospective of optimization modeling as a tool for sustainable energy systems

capacity adequacy in power markets facing energy transition a comparison of scarcity pricing and capacity mechanism this article analyses how a capacity mechanism can address security of supply objectives in a power market undergoing an energy transition that combines energy efficiency efforts to stabilise demand and a rapid increase in the proportion of renewables to analyse this situation power markets are simulated over the long term with a system dynamics model integrating new investment and closure decisions this last trait is relevant to studying investment in power generation in mature markets undergoing policy shocks the energy only market design with a price cap with and without a capacity mechanism is compared to scarcity pricing in two investment behaviour scenarios with and without risk aversion the results show that the three market designs lead to different levels of risk for peaking unit investment and results thus differ according to which risk aversion hypothesis is adopted assuming a risk neutral investor the results indicate that compared to an energy only market with a price cap at 3 000 mwh an energy only market with scarcity pricing and the market design with a capacity mechanism are two efficient options to reach similar levels of load loss but under the hypothesis of risk aversion the results highlight the advantage of the capacity mechanism over scarcity pricing

strategic exclusion of the highest valued bidders in wholesale automobile auctions by restricting bidders to be qualified dealers wholesale automobile auctions exclude the bidders who place the highest value on the vehicles consumers this article provides an explanation for this puzzling entry restriction by modeling the inventory management decisions of a firm if an automobile dealer has more vehicles in inventory than is optimal it cannot reduce its inventory by selling directly to consumers without impacting the demand for the automobiles that remain however if the dealer sells his her excess inventory to a competitor the demand for his her remaining vehicles increases as the competitor responds by acquiring fewer additional vehicles we demonstrate that for any market demand function and any cost of the competitor acquiring additional vehicles a dealer with excess inventory does better by selling a subset of its vehicles to a competitor rather than directly to consumers we discuss the market for wholesale automobiles in relation to other markets where goods are also auctioned but where entry is not restricted to qualified dealers doing so allows us to compare our inventory management explanation to common explanations provided by industry practitioners we find that intuitive alternative stories do not consistently explain practices across markets jel d44 l11 l62 i introduction sellers rarely take steps to exclude buyers from the opportunity to purchase even in special cases where entry restrictions are observed sellers rarely exclude those buyers who place the highest value on the goods for sale we present one market where this exact type of entry restriction is common and provide a simple rationale in particular this article considers the wholesale market for automobiles where most automobiles are sold in auctions and the majority of automobile auction houses restrict entry such that only licensed automobile dealers are allowed to bid and consumers are expressly excluded 1 to explain why automobile auctions are closed to consumers we argue that entry restrictions are a strategic response to the structure of the market for automobiles because of fluctuations in the arrival of trade in vehicles some dealers in some periods have more vehicles than they find it profitable to sell in that period as a result these dealers are willing to participate in dealer only auctions because these exclusionary auctions allow dealers to reduce their inventory without cannibalizing demand in the secondary market we consider this type of entry restrictions to be especially puzzling because a market exists for consumers to pay dealers to get them into automobile auctions see www dealerlicensepros com who say that potential dealers need a license so that they can get into dealer only auctions to maximize profits as a result these entry restrictions clearly present a binding constraint because consumers are willing to pay to enter the auction house but are only able to do so illicitly by finding a dealer who is willing to violate the auction rules or by obtaining a dealer s license simply for the purpose of buying a vehicle for their own use further examples include www dealerlicense com who discusses that unlicensed dealers are not being able to buy cars at exclusive dealer only car auctions and numerous online forums where consumers discuss ways to circumvent entry restrictions by paying dealers who will sneak them into an auction for a fee e g see a discussion of fees upwards of 500 for entry to buy a single vehicle ask metafilter com 2 our story is centered around the inventory management decisions of firms in the automobile industry if an automobile dealer has more vehicles in inventory than is optimal it cannot reduce his her inventory by selling directly to consumers without impacting the demand for the automobiles that remain however if the dealer sells his her excess inventory to a competitor the demand for his remaining vehicles increases as the competitor responds by acquiring fewer additional vehicles

entry into the electricity market uncertainty competition and mothballing options the present paper analyzes the entry strategies into the electricity market of two firms that have power plants under price uncertainty and competition we consider the symmetric and asymmetric two firms which have either a thermal power plant or a nuclear power plant the differences between the thermal power plant and the nuclear power plant such as the cost structure and operational flexibility are modeled the threshold values of market entry are calculated for each firm with either the thermal power plant or the nuclear power plant as the leader or the follower we show the dependence of cost structures on entry thresholds of the leader and the follower into the electricity market for various market and cost conditions the diagrams of the leader are also shown

reliability payments to generation capacity in electricity markets abstract electric power is a critical input to modern economies generation adequacy and security of supply in power systems running under competition are currently topics of high concern for consumers regulators and governments in a market setting generation investments and adequacy can only be achieved by an appropriate regulatory framework that sets efficient remuneration to power capacity theoretically energy only electricity markets are efficient and no additional mechanism is needed nonetheless the energy only market design suffers from serious drawbacks therefore jointly with the evolution of electricity markets many remunerating mechanisms for generation capacity have been proposed explicit capacity payment was the first remunerating approach implemented and perhaps still the most applied however this price based regulation has been applied no without severe difficulties and criticism in this paper a new reliability payment mechanism is envisioned capacity of each generating unit is paid according to its effective contribution to overall system reliability the proposed scheme has many attractive features and preserves the theoretical efficiency properties of energy only markets fairness incentive compatibility market power mitigation and settlement rules are investigated in this work the article also examines the requirements for system data and models in order to implement the proposed capacity mechanism a numerical example on a real hydrothermal system serves for illustrating the practicability of the proposed approach and the resulting reliability payments to the generation units

effects of a european electricity market on the german electricity industry results from a simulation model of the european power systems the introduction of an european common market for electricity and the opening of the power markets to eastern europe and scandinavia will have a drastic and lasting effect on the structure of the german electricity industry this paper presents an evaluation of the possible effects of a single market especially on the power trade within europe and the german power plant system one special aspect is the investigation whether a flooding of the german electricity market with french nuclear power could happen scenario simulations reject the argumentation that a european common market for electricity would lead to a dramatic increase in international electricity trade

risk based assessment of the cost efficiency and the effectivity of renewable energy support schemes certificate markets versus feed in tariffs the introduction of renewable energy sources in the electricity generation mix has the potential to reduce power sector s emissions and countries dependence on imported oil climate change concerns and highly volatile oil prices have attracted governments interest and support to sustain investments in renewable energy capacity and different support policies have been implemented in many countries around the world this paper analyzes the effects of investors risk aversion on the performance of support schemes the analysis compares two policy options a feed in tariff mechanism with a certificate market system results show that while a tariff mechanism could obtain better results than a certificate market its performance is strictly dependent on regulator choices a certificate market instead permits to obtain the desired level of renewable energy market share with good cost efficiency as long as investors risk aversion is moderate moreover discounting future cash flows with higher social discount rates further benefits a certificate system making it preferable to feed in tariffs

differential difference equations in economics on the numerical solution of vintage capital growth models we examine techniques for the analytical and numerical solution of state dependent differential difference equations such equations occur in the continuous time modelling of vintage capital growth models which form an important class of models in modern economic growth theory the theoretical treatment of non state dependent differential difference equations in economics was discussed by benhabib and rustichini 1991 in general though the state dependence of a model prevents its analytical solution in all but the simplest of cases we review a numerical method for solving state dependent models using simple examples to illustrate our discussion in addition we apply this numerical method to the solow vintage capital growth model

long term assessment of power capacity incentives by modeling generation investment dynamics under irreversibility and uncertainty abstract in actual energy only markets the high volatility of power prices affects the expected returns of generators when dealing with irreversibility under uncertainty deferring decisions to commit in new power plants waiting for better information is therefore a rational approach theoretical and empirical evidence suggests that such investment pattern determines the occurrence of construction cycles which strongly compromise supply security in order to supplement generators revenues several remuneration mechanisms have been devised over past years along this line this work addresses the long run dynamics of capacity adequacy and market efficiency with both a price based and a quantity based capacity remuneration policy for that purpose a recently developed stochastic simulation model is used as a benchmark hence the optimal postponement of generation investment decisions is integrated into a long run power market model by formulating the decision making problem in the framework of real options analysis results suggest that policymakers may exchange supply security effectiveness for energy prices to be paid by consumers efficiency when designing and implementing capacity remuneration mechanisms by doing so this article contributes to the ongoing debate regarding the design of incentive policies and efficient power markets by considering the microeconomics of investors decision making under irreversibility and uncertainty