consumer surplus from discrete choice models abstract the budget constrained random utility model rum gives utility consistent measures of welfare but requires the length of the planning period be specified an alternative is to treat the rum probabilities as behavioral and calculate consumer surplus this paper shows that such calculations lead to the same welfare measures as rum calculations the paper provides support and an alternative justification for the standard welfare measured

the costs of electricity interruptions in spain are we sending the right signals one of the objectives of energy security is the uninterrupted physical availability of energy however there is limited information about how much is the cost of energy supply interruptions this information is essential to optimize investment and operating decisions to prevent energy shortages or alternatively to determine the strength of the signals to be sent to the agents so that they may invest accordingly in this paper we estimate the economic impact of an electricity interruption in different sectors and regions of spain although there are several caveats in our analysis we find that in 2008 the cost for the spanish economy of one kwh of electricity not supplied was above 4 even in a conservative scenario which is higher than the signals currently being sent as incentives to avoid these interruptions this might result in an underinvestment in short term energy security particularly when we add the usual risk aversion of most consumers

electrical network capacity support from demand side response techno economic assessment of potential business cases for small commercial and residential end users demand side response dsr is recognised for its potential to bring economic benefits to various electricity sector actors such as energy retailers transmission system operators tsos and distribution network operators dnos however most dsr is provided by large industrial and commercial consumers and little research has been directed to the quantification of the value that small below 100 kw commercial and residential end users could accrue by providing dsr services in particular suitable models and studies are needed to quantify potential business cases for dsr from small commercial and residential end users such models and studies should consider the technical and physical characteristics of the power system and demand resources together with the economic conditions of the power market in addition the majority of research focuses on provision of energy arbitrage or ancillary services with very little attention to dsr services for network capacity support accordingly this paper presents comprehensive techno economic methodologies for the quantification of three capacity based business cases for dsr from small commercial and residential end users case study results applied to a uk context indicate that if the appropriate regulatory framework is put in place services for capacity support to both dnos and tsos can result into potentially attractive business cases for dsr from small end users with minimum impact on their comfort level

the amenity value of english nature a hedonic price approach using a hedonic property price approach we estimate the amenity value associated with proximity to habitats designated areas domestic gardens and other natural amenities in england there is a long tradition of studies looking at the effect of environmental amenities and disamenities on property prices but to our knowledge this is the first nationwide study of the value of proximity to a large number of natural amenities in england we analysed 1 million housing transactions over 1996 2008 and considered a large number of environmental characteristics results reveal that the effects of many of these environmental variables are highly statistically significant and are quite large in economic magnitude gardens green space and areas of water within the census ward all attract a considerable positive price premium there is also a strong positive effect from freshwater and flood plain locations broadleaved woodland coniferous woodland and enclosed farmland increasing distance to natural amenities such as rivers national parks and national trust sites is unambiguously associated with a fall in house prices our preferred regression specifications control for unobserved labour market and other geographical factors using travel to work area fixed effects and the estimates are fairly insensitive to changes in specification and sample this provides some reassurance that the hedonic price results provide a useful representation of the values attached to proximity to environmental amenities in england overall we conclude that the housing market in england reveals substantial amenity value attached to a number of habitats designations private gardens and local environmental amenities

examining the benefits of load shedding strategies using a rolling horizon stochastic mixed complementarity equilibrium model abstract as a result of government policies increasing the amount of electricity generated from fluctuating renewable sources in many countries the requirement for flexibility in the corresponding electricity systems increases on the demand side load shedding is one demand response mechanism contributing to an increased flexibility traditionally load shedding was based on rather static or rotational strategies whereby the system operator chooses the consumers for load shedding however ongoing technological developments provide the basis for smarter and more efficient load shedding strategies we therefore examine the costs and strategies associated with such mechanisms by modelling an electricity market with different types of generators and consumers some consumers provide flexibility through load shedding only while others additionally have the ability to generate their own electricity focussing on the impacts of how and to whom consumers with own generation ability can supply electricity the presence of market power and generator uncertainty we propose a rolling horizon stochastic mixed complementarity equilibrium model where the individual optimisation problems of each player are solved simultaneously and in equilibrium we find that a non static strategy reduces consumer costs while allowing consumers to provide own generation to the whole market results in minimal benefits the presence of market power was found to increase costs to consumers

combining contingent valuation and travel cost data for the valuation of non market goods the travel cost method tcm has long been used to infer the economic value of nonmarket resources and public goods more recently contingent valuation cvm survey methods have gained popularity for eliciting these values here cvm survey responses are combined with tcm data on actual market behavior to estimate jointly both the parameters of the underlying utility function and its corresponding ordinary demand function this is a prototypical empirical example of a new modeling strategy variants of which should prove useful in many applications especially where reliance on a single valuation method is undesirable

valuation and management of wetland ecosystems we recently completed a study of wetland values in coastal louisiana that employed both willingness to pay and energy analysis based methodologies and were able to bracket a range of values within which we feel fairly confident the true value lies however a large amount of uncertainty remains our current estimates of the total prsent value of an average acre of natural wetlands in louisiana are us 2429 6400 per acre assuming an 8 discount rate to 8977 17000 per acre assuming a 3 discount rate at the lowest value the current annual rate of loss of louisiana wetlands 50 sq miles per year is worth about 77 million at the largest value it is worth about 544 million in this paper we a discuss the fundamental theoretical and practical problems underlying natural resources valuation b summarize our methods and findings for louisiana wetlands and c elaborate on some of the more recalcitrant problems attending applied natural resource valuation including discounting and dealing with uncertainty and imprecision the discount rate makes more difference in the final result than any other one factor and yet there is much disagreement about the appropriate approach to discounting natural resources we discuss the discounting problem as applied to natural resources and argue for lower discount rates for valuing renewable natural resources than apply for other aspects of the economy it now seems clear that no reasonable amount of effort will produce very precise estimates of wetland values and we suspect this is also the case for several other classes of natural resources we elaborate a wetlands asurance bonding system to address these problems

local matching of flexible load in smart grids abstract today s power systems are experiencing a transition from primarily fossil fuel based generation toward greater shares of renewable energy sources it becomes increasingly costly to manage the resulting uncertainty and variability in power system operations solely through flexible generation assets incorporating demand side flexibility through appropriately designed incentive structures can add an additional lever to balance demand and supply based on a supply model using empirical wind generation data and a discrete model of flexible demand with temporal constraints we design and evaluate a local online market mechanism for matching flexible load and uncertain supply under this mechanism truthful reporting of flexibility is a dominant strategy for consumers reducing payments and increasing the likelihood of allocation suppliers during periods of scarce supply benefit from elevated critical value payments as a result of flexibility induced competition on the demand side we find that for a wide range of the key parameters supply capacity flexibility level the cost of ensuring incentive compatibility in a smart grid market relative to the welfare optimal matching is relatively small this suggests that local matching of demand and supply can be organized in a decentral manner in the presence of a sufficiently flexible demand side extending the stylized demand model to include complementary demand structures we demonstrate that decentral matching induces only minor efficiency losses if demand is sufficiently flexible furthermore by accounting for physical grid limitations we show that flexibility and grid capacity exhibit complementary characteristics

combining revealed and stated preference methods to value environmental amenities at residential locations this paper combines an established revealed preference method discrete choice he donic analysis and a relatively new stated refer ence method choice based conjoint analysis in order to estimate more accurately the aesthetic benefits generated by the presence and quality of environmental amenities associated with residen tial locations it applies the combined approach to the housing market of fairfield connecticut which contains several environmental amenities and is experiencing an improvement in the quality of its coastal wetlands due to active restoration efforts jel q26

exploring and controlling a bank s interest risk sensitivity analysis of an asset and liability co ordination model abstract for exploration and control of a bank s interest risk an asset and liability co ordination model is used that has been developed in close co operation with a big german commercial bank this model is capable of analyzing the sensitivity of a bank s interest surplus to sudden and unforeseen changes of the interest rate scenario furthermore a model based iterative procedure is suggested for control of interest risk by bank management a pragmatic approach is employed mainly in reference to the generation of alternative future interest rate scenarios the data required by the model are restricted to those that are usually available to commercial banks

optimal generation mix with short term demand response and wind penetration demand response defined as the ability of load to respond to short term variations in electricity prices plays an increasingly important role in balancing short term supply and demand especially during peak periods and in dealing with fluctuations in renewable energy supplies however demand response has not been included in standard models for defining the optimal generation technology mix three different methodologies are proposed to integrate short term responsiveness into a generation technology mix optimization model considering operational constraints elasticities are included to adjust the demand profile in response to price changes including cross price elasticities that account for load shifts among hours as energy efficiency programs also influence the load profile interactions of efficiency investments and demand response are also modeled comparison of model results for a single year optimization with and without demand response shows peak reduction and valley filling effects impacting the optimal amounts and mix of generation capacity increasing demand elasticity also increases the installed amount of wind capacity suggesting that demand response yields environmental benefits by facilitating integration of renewable energy

nash profit efficiency a measure of changes in market structures abstract imperfectly competitive markets can be characterized by endogenous prices limited or no competition and the exercise of market power to address the resulting dysfunctionality this study proposes an alternative efficiency measure estimated by the directional distance function ddf with the direction toward nash equilibrium and develops the nash profit efficiency npe and its decomposition which complements the typical profit efficiency measure we model the production possibility set and the price functions of inputs and outputs and then develop the mixed complementarity problem micp we validate the model with an empirical study of the oil and natural gas industry in new york state between 1981 and 1989 the results show that before 1984 firms exploited a less competitive market that between 1984 and 1986 the number of new entrants transformed the market and that after 1986 no firms could exercise market power due to market restructuring deregulation and an unforeseen oil glut based on the results we conclude that the direction toward nash equilibrium can be justified for efficiency estimation in imperfectly competitive markets and that npe is appropriate for investigating changes in market structures

a mixed complementarity based equilibrium model of natural gas markets we present a new multiseasonal multiyear natural gas market equilibrium model based on the concept of a competitive equilibrium involving the market participants producers storage reservoir operators peak gas operators pipeline operators marketers and consumers the first three classes are depicted as price takers consistent with perfect competition the pipeline operations are described with regulated tariffs but also involve congestion pricing as a mechanism to allocate scarce pipeline capacity the marketers are price takers in all markets except in sales to consumers in which they compete as nash cournot players finally consumers are described by demand curves for each of the four sectors residential commercial industrial and electric power we show that the equilibrium model is an instance of a mixed nonlinear complementarity problem ncp and provide sufficient detail not generally seen in previous complementarity models of natural gas the ncp formulation is derived from considering the karush kuhn tucker optimality conditions of the optimization problems faced by these participants under mild conditions we show that this ncp has a solution and under additional reasonable conditions we show that the market prices are unique we also validate the model on a representative sample network with nine market participants and three seasons using four scenarios

riparian buffers and hedonic prices a quasi experimental analysis of residential property values in the neuse river basin riparian buffers the strips of vegetation along banks of rivers and streams have been proposed as a key instrument to protect water quality in the united states riparian buffers impose a restriction on the use of private property limiting harvest and development but buffers can also provide for aesthetic and recreational benefits that may accrue to property owners with data from the neuse river basin in north carolina this study attempts to provide empirical evidence on the effect of a mandatory buffer rule on the value of riparian properties spatial autoregressive hedonic models are estimated within a quasi experimental framework using the imposition of the buffer rule as the treatment and nonriparian properties as a control group results indicate that a riparian property generally commands a high premium we find no evidence however that the mandatory buffer rule has had a significant impact on riparian property values when compared with the control group copyright 2009 oxford university press

using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog traffic noise air pollution and electromagnetic pollution i e nonionizing radiation also called electrosmog are typical negative local externalities in urban areas they are side effects of human and economic activities e g road transport telecommunication and they affect individuals well being negatively without compensation in recent years the increased number of mobile phone antennas in residential areas and thus the increased intensity of radiated power has aroused public concern discussions and protests the view of an antenna is annoying an increasing number of inhabitants in this article the stated choice experiment ce is used to estimate the willingness to pay wtp residents in the cities of zurich and lugano place on the reduction of these three environmental loads estimation results reveal that there is a positive and significant wtp for a reduction of air pollution and traffic noise levels to those limit values fixed by the government respondents also show wtp for reducing

improving environmental valuation estimates through consistent use of revealed and stated preference information abstract environmental valuation data from stated and revealed preference methods are integrated into a unified model of preferences for environmental quality improvement that identifies the use and nonuse components of the total value estimate this articulates clearly what parts of the total value estimate come from each type of data and permits tests of whether estimated preferences satisfy weak complementarity between the environmental good of interest and related private goods the statistical advantages of using more information for the valuation problem are exploited while retaining flexibility to identify value estimates from any individual method of analysis

identifying willingness to pay for heterogeneous goods with factorial survey methods abstract it has been difficult to estimate underlying willingness to pay parameters for attributes of heterogeneous goods such as environmental quality though hedonic price functions this paper links sociological factorial survey analysis with hedonic price analysis vignettes are multidimensional vectors constructed orthogonally differences among vignette ratings allow estimation of individual valuations of the attributes the paper establishes a theoretical framework linking the two analyses vignette and hedonic price functions are then estimated and linked at the margin to provide dollar values for marginal vignette ratings ratios of these ratings are then used to impute willingness to pay for attributes

hedonic amenity valuation and functional form specification this paper uses gis data to develop variables representing the physical extent and visibility of surrounding land use cover features in a hedonic model of a rural suburban residential housing market three equations are estimated to determine if views

how family networks drive residential location choices evidence from a stated preference field experiment in bogota colombia this research quantifies the relative importance of proximity to extended family networks in the stated residential location choices of bogota s low to middle income residents by applying a conditional logistic regression model and using data from an original choice experiment i find that the surveyed individuals prefer living near their extended family and on average prioritise it more than accessibility to the central business district those who have relied on help from extended family members in a personal or economic crisis situation have a stronger preference for living near extended family compared with those who have not as do those who are able to rely on extended family ties for childcare assistance

mixed monetary and non monetary valuation of attractive urban green space a case study using amsterdam house prices abstract this paper offers new insight into the monetary value of green space at the intra urban level to this end an established monetary valuation method hedonic price analysis is integrated with a relatively novel non monetary valuation method in specific online value mapping based survey data n 723 are used to inform hedonic models of the preferences that potential home buyers may have for nearby attractive green spaces the estimation uses data on 35 298 home transactions in the amsterdam agglomeration s urban core homes nearby attractive green space are found to sell at a price premium which decays with distance and becomes negligible after one kilometer the estimated price effect varies from 7 1 9 3 for houses within 0 25 km from the nearest attractive green space to 1 7 2 3 for houses located at 0 75 1 0 km away depending on the scale at which omitted spatial variables are controlled for adding to the discussion of spatial controls in this type of analysis the controls are evaluated at multiple scales and a metric that simplifies the interpretation of the scale of spatial controls the mean equalized diameter is introduced this study s findings may inform policymakers who seek to maximize the well being of urban citizens through public investments in attractive amenities

perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation abstract this study examines perceptions and objective attribute measures in discrete choice models of recreation site choice behavior these forms of attribute measurement are examined in individual and combined revealed preference stated preference models our results suggest that the model based on perceptions slightly outperforms the models based on objective attribute measures however issues such as the definition of the choice set and the measurement of welfare present significant challenges when using perceptions data

an interest rate risk management model for commercial banks abstract this paper develops a goal programming model to assist a commercial bank in managing its exposure to interest rate risk the bank s objective is to immunize its equity position against innovations in interest rates while maximizing its market value to accomplish this task a duration gap framework is developed that does not require interest rate forecasts as decision variables the model includes assets liabilities and off balance sheet derivative securities the focus is on a protective put strategy that uses options on interest rate futures but to provide contrast a short interest rate futures position is examined as well application of the model to an illustrative environment indicates that for larger interest rate changes the option strategy provides better protection against interest rate risk than the short futures position

combining revealed and stated preference data to estimate the nonmarket value of ecological services an assessment of the state of the science this paper reviews the marketing transportation and environmental economics literature on the joint estimation of revealed preference rp and stated preference sp data the rp and sp approaches are first described with a focus on the strengths and weaknesses of each recognizing these strengths and weaknesses the potential gains from combining data are described a classification system for combined data that emphasizes the type of data combination and the econometric models used is proposed a methodological review of the literature is pursued based on this classification system examples from the environmental economics literature are highlighted a discussion of the advantages and disadvantages of each type of jointly estimated model is then presented suggestions for future research in particular opportunities for application of these models to environmental quality valuation are presented

valuing product attributes using single market data a comparison of hedonic and discrete choice approaches this paper compares via simulation the perfor mance of the multinomial logit and hedonic models in esti mating consumer preferences for product attributes we as cribe preferences over the attributes of houses to a population of consumers and by having them bid for a set of houses calculate equilibrium prices the resulting data are used to estimate the two models we find that the gradient of a linear box cox hedonic price function estimates marginal attribute bids at least as well as a linear logit model although the difference between the two is small when some variables are not observed or are replaced by proxies the logit model however outperforms the he donic model in valuing non marginal attribute changes this is true when the researcher knows the true form of consumers utility functions and when the utility function must be approx irnated

using contingent pricing analysis to value open space and its duration at residential locations to estimate benefits from open space adjacent to residences this paper blends contingent valuation and conjoint analysis within a housing market context the resulting framework contingent pricing analysis represents the stated preference counterpart to hedonic pricing analysis by asking individuals to state prices for hypothetical housing locations which include an environmental amenity then it asks individuals to state their willingness to pay for a better and longer lasting environmental amenity as an advantage over hedonic pricing analysis it directly isolates willingness to pay results indicate that potentially short lasting open space adds no value while preserved open space adds 5 066 or 5 to housing value

time is money improved valuation of time and transportation costs the proper valuation of time isimportant for estimating the demand for severaleconomic goods this paper explores the propervaluation of time when estimating recreationaldemand where time costs represent asubstantial portion of the purchase price toestimate demand this paper uses a travel costframework to analyze actual behavior revealedpreference data and hypothetical behavior stated preference data which is induced byhypothetical increases in access fees traveltime and travel distance by comparing theresponses to these three contingencies theanalysis adjusts and improves the valuation oftime costs as evidence of this improvement this analysis demonstrates a great increase inthe consistency between the revealed and stateddata similarly this paper improves thevaluation of transportation related costs

an estimate of the value of lost load for ireland this paper estimates the value of short term lost load in the all island electricity market which includes the republic of ireland and northern ireland the value of lost load voll is the average willingness of electricity consumers to pay to avoid an additional period without power voll is also known as the value of security of electricity supply and is inferred using a production function approach detailed electricity use data for the republic of ireland allows us to estimate the value of lost load by time of day time of week and type of user we find that the value of lost load is highest in the residential sector in both the republic of ireland and northern ireland our results can be used to advise policy decisions in the case of supply outages and to encourage optimum supply security in the context of this study short term is taken to be a matter of hours rather than days or weeks

viewscapes and flood hazard coastal housing market response to amenities and risk coastal amenities and risk are so highly correlated that separate identification within the hedonic framework is potentially challenging in this study we construct a three dimensional measure of ocean view viewscape accounting for natural topography and built obstruction that varies independent of risk classification to disentangle these spatially integrated housing characteristics a spatial autoregressive hedonic model is developed to provide consistent estimates of the willingness to pay for coastal amenities and risk our findings suggest that incorporating the gis based view measures can be successful in isolating risk factors from spatial amenities

response bias in a conjoint analysis of power outages abstract a methodology is proposed for estimating status quo effects resistance to change and loss aversion willingness to pay is less than willingness to accept from consumer survey data conjoint data on israeli households attitudes to electricity outages reveal that both of these effects are pronounced and that they depend on the interviewees characteristics ordered conditional logit estimation indicates that while the estimates are rank sensitive the suggested methodology continues to be applicable finally the conjoint estimates are compared with those obtained by applying the method of contingent valuation

bridging the gap between revealed and stated preferences in flood prone housing markets abstract this papers attempts to shed light on the gap between revealed and stated preferences methods in flood prone housing markets we quantitatively explore the market level consequences of various behavioural models assumptions regarding risky choices at the individual level in addition we quantify the effect of the market level bias in risk valuation that individual preferences for neighbourhood quality imply we apply an economic agent based housing market model to quantify and disentangle the impacts of behavioural biases in individual decisions under risk as well as neighbourhood externalities which both are known to distort markets we compare three different micro level behavioural risk models expected utility prospect theory and risk negligence the flood risk discount on a market level varies significantly but the results do not rule out any of these models in general markets with prospect theory traders overprice risks causing an unrealistically high price differential between risk prone and risk free properties the marginal implicit price for flood risk is much closer to empirically found prices in the expected utility and risk negligence models additionally we find that individual preferences for neighbourhood quality and multicollinearity in housing attributes can cause a bias in market level risk valuations of up to 9 7 of a property s value

identifying demand parameters in the presence of unobservables a combined revealed and stated preference approach we develop a combined revealed and stated preference approach to identify discrete choice demand parameters in the presence of unobserved determinants of choice our approach overcomes difficulties associated with small choice sets multicollinearity and endogeneity that arise with revealed preference approaches to illustrate our framework we revisit two canadian moose hunting datasets our empirical results suggest the potential gains from fusing revealed and stated preference data but they also suggest its limitations when the data generating processes for the data sources differ

endogenous production capacity investment in natural gas market equilibrium models abstract the large scale natural gas equilibrium model applied in egging 2013 combines long term market equilibria and investments in infrastructure while accounting for market power by certain suppliers such models are widely used to simulate market outcomes given different scenarios of demand and supply development environmental regulations and investment options in natural gas and other resource markets however no model has so far combined the logarithmic production cost function commonly used in natural gas models with endogenous investment decisions in production capacity given the importance of capacity constraints in the determination of the natural gas supply this is a serious shortcoming of the current literature this short note provides a proof that combining endogenous investment decisions and a logarithmic cost function yields a convex minimization problem paving the way for an important extension of current state of the art equilibrium models

combining revealed and stated preference data to estimate preferences for residential amenities a gmm approach we show how stated preference information obtained from a choice experiment and revealed preference information based on housing market transactions can be combined via generalized method of moments gmm estimation specifically we use a moment condition matching the predicted marginal willingness to pay wtp from a first stage hedonic model to the marginal wtp formula implied by the choice experiment utility function this is coupled with other moments from the choice experiment to produce gmm based estimates of parameters that reflect the strengths of each data source our application values remediation of a contaminated site in buffalo new york and we find evidence in support of estimates arising from our approach jel q51 q53

managing interest rate risk in banking institutions abstract this paper develops and employs a multiperiod goal programming model to examine the normative effects of changing interest rates on the rearrangements of depository bank balance sheets and associated profits a two stage state preference framework allows a dynamic interpretation of the model s prescribed decisions as well as a natural incorporation of profit sensitivity to interest rate risk the model includes on and off the balance sheet decision variables experimental results indicate that constraining the latter decision can seriously curtail the bank s ability to achieve its profit objectives

assessing energy supply security outage costs in private households abstract the objective of this paper is to contribute to the topic of energy supply security by proposing a monte carlo based and a survey based model to analyze the costs of power interruptions outage cost estimations are particularly important when deciding on investments to improve supply security e g additional transmission lines in order to compare costs to benefits but also other policy decisions on measures that have direct or indirect consequences for the supply security e g a phasing out of nuclear energy need to be based on results from outage cost estimations the main focus of this paper lies with residential consumers but the model is applied to commercial industrial and governmental consumers as well there are limited studies that have approached the problem of evaluating outage cost when comparing the results of these studies they often display a high degree of diversification as consumers have different needs and dependencies towards the supply of electricity because of varying circumstances and preferences a great diversity in outage cost is a logical consequence to take the high degree of uncertainties into account a monte carlo simulation was conducted in this study for the case of private households in germany

a goal programming model for bank assets and liabilities management abstract assets and liabilities management is one of the most important issues in bank strategic planning in the past this problem has often been addressed through conventional mathematical programming i e linear programming however bank management typically involves several conflicting goals such as the maximisation of returns minimisation of risk expansion of deposits and loans etc the complexity of this problem can be captured more adequately by multiobjective mathematical programming this paper discusses the construction and application at the commercial bank of greece of a goal programming model that takes into account the essential institutional financial legal and bank policy considerations

a method to estimate the costs and benefits of undergrounding electricity transmission and distribution lines abstract there has been a general shortfall of peer reviewed literature identifying methods to estimate the costs and benefits of strategies employed by electric utilities to improve grid resilience this paper introduces for the first time a comprehensive analysis framework to estimate the societal costs and benefits of implementing one strategy to improve power system reliability undergrounding power transmission and distribution lines it is shown that undergrounding transmission and distribution lines can be a cost effective strategy to improve reliability but only if certain criteria are met before the decision to underground is made

a 100 year review of electricity policy in ireland 1916 2015 abstract over the past century ireland s electricity sector has undergone a significant transformation this paper documents the nation s struggle to build an electricity system to improve security of electricity supply through portfolio diversification and to promote indigenous energy sources this was a challenge for an electrically isolated island with little natural resources the paper also identifies the ineffective policy decisions that left ireland exposed to the 1970s energy crises the crises did however provide a clear impetus for focusing irish energy policy going forward the successful deployment and integration of large scale wind power was due to strong national and supranational policy decisions in 2015 ireland had the third highest wind energy share of national electricity demand 22 8 of all iea wind member countries the paper also traces ireland s transition through market reform regional fragmentation and looks onwards to the eu internal market for electricity in essence this paper provides a holistic view of the implications of various policy decisions on the electricity sector along with the stresses of external factors on the electricity market and should be useful for policy makers elsewhere faced with similar decisions

linear complementarity models of nash cournot competition in bilateral and poolco power markets two cournot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems lcps and a simple example is presented to illustrate their application the two models simulate bilateral markets the models include a congestion pricing scheme for transmission but other transmission pricing approaches can also be represented in this framework the two models differ from each other in that one has no arbitrage between nodes of the network while in the other model arbitragers erase any noncost based differences in price the latter bilateral model turns out to be equivalent to a cournot model of a poolco the models differ from other cournot market models in that they include both of kirchhoff s laws via a dc approximation can include arbitragers possess unique solutions and are readily solved by efficient lcp algorithms the key assumption that permits their formulation as lcps is that each producer naively assumes that its output will not affect transmission prices