measuring the financial impact of demand response for electricity retailers abstract due to the integration of intermittent resources of power generation such as wind and solar the amount of supplied electricity will exhibit unprecedented fluctuations electricity retailers can partially meet the challenge of matching demand and volatile supply by shifting power demand according to the fluctuating supply side the necessary technology infrastructure such as advanced metering infrastructures for this so called demand response dr has advanced however little is known about the economic dimension and further effort is strongly needed to realistically quantify the financial impact to succeed in this goal we derive an optimization problem that minimizes procurement costs of an electricity retailer in order to control demand response usage the evaluation with historic data shows that cost volatility can be reduced by 7 74 peak costs drop by 14 35 and expenditures of retailers can be significantly decreased by 3 52

household electricity demand revisited respond to price changes this paper develops a model for evaluating the effects of alternative tariff designs on electricity use the model concurrently addresses several interrelated difficulties posed by nonlinear pricing heterogeneity in consumer price sensitivity and consumption aggregation over appliances and time we estimate the model using extensive data for a representative sample of 1300 california households the results imply a strikingly skewed distribution of household electricity price elasticities in the population with a small fraction of households accounting for most aggregate demand response we then estimate the aggregate and distributional consequences of recent tariff structure changes recent efforts to restructure electricity markets have renewed interest in electricity demand and pricing this interest reflects a broad desire to improve the efficiency of electricity markets and policy makers concerns over the impact of price changes on consumers how new pricing mechanisms would affect households consumption and expenditures is a matter of considerable uncertainty however this uncertainty has provoked controversy and debate in the regulatory policy arena hampering market reforms using econometric methods to assess the effects of electricity price changes presents several challenges these include the nonlinear structure of tariff schedules aggregation of metered consumption behaviour over time and appliances and the interdependence of energy use with longer term household decisions over appliance ownership and dwelling characteristics the first two issues introduce complex simultaneity problems between marginal prices and consumption the third issue imposes high data requirements information on household specific appliance holdings and residence features and creates heterogeneity in consumption responses related to the characteristics of these durable goods when the researcher s objective is to develop a model for simulating the effects of prospective tariff changes ignoring these issues will provide an incomplete assessment of demand responses and potentially misleading predictions of a new tariff s consumption and revenue consequences in this paper we estimate a model of household electricity demand that can be used

financial crises unconventional monetary policy exit strategies and agents expectations a central bank may purchase assets during a financial crisis and then exit from those purchases agents have rational expectations about financial crises as rare events the probability the central bank purchases assets and the exit strategy selling off assets quickly produces a double dip recession while slowly unwinding generates a smooth recovery expectations about the exit strategy influence the initial effectiveness of purchases increasing the probability of purchases during crises distorts the pre crisis economy and depends upon the exit strategy the welfare benefits of unconventional policy may differ ex ante versus ex post as can the preferred exit strategy

stochastic modelling of renewable energy sources from operators point of view a survey abstract high penetration of renewable energy sources especially weather dependent sources has increased the power systems uncertainties for any analysis in power systems such as planning and operation it is essential to confront the stochastic nature of these sources in order to get much more precise results since operators need proper strategies and methods to decline negative effects of the stochastic behaviour of renewable power generators such as total operation cost growth this paper provides a review of different state of the art approaches from the operator s viewpoint for handling the stochastic behaviour of renewable sources hence in this paper three different strategies are categorized for stochastic analysis of these sources the first strategy is mathematical modelling including stochastic dependency and independency multi dimensional dependence forecast and scenarios afterwards demand side management which is one of the other approaches for dealing with these uncertainties is investigated and different demand response programs and some methods to model them are presented finally the effect of different electricity market schemes and relevant optimization methods to mitigate the variations of renewable energy sources are discussed the study demonstrates that an operator should choose one or a combination of these three approaches based on its requirements

optimal pricing in electrical networks over space and time an electrical system is modelled with a transmission network customers central generators and independent generators the system is subject to stochastic failures and stochastic demand parameters optimal spot prices are derived for the system they vary stochastically with space and time and depend on electrical load flow patterns the price difference between two locations or two voltage levels and the wheeling charge between them will change magnitude and sometimes sign over time as a function of events throughout the network current spatial pricing methods are significantly different from the spot price based methods derived here

demand response with locational dynamic pricing to support the integration of renewables abstract electricity production from centralised and decentralised renewable energy resources in europe is gaining significance resulting in operational challenges in the electricity system although these challenges add to the locational and time dependency of the underlying cost of operating the system this variability in time and location is not reflected in residential tariff schemes consequently residential users are not incentivised to react to varying system conditions and to help the integration of renewable energy resources therefore this paper provides a theoretical framework for designing a locational dynamic pricing scheme this can be used to assess existing tariff structures for consumption and injection and can serve as a theoretical background for developing new tariff schemes starting from the underlying costs this paper shows that the potential for locational dynamic pricing depends on the locational and time dependency of its cost drivers when converting costs into tariffs the tariff design should be determined this includes the advance notice of sending tariffs to users and the length of price blocks and price patterns this tariff design should find a balance between tariff principles related to costs practicality and social acceptability on the one hand and the resulting demand response incentive on the other

purchase bidding strategy for a retailer with flexible demands in day ahead electricity market the paper aims to determine the day ahead market bidding strategies for retailers with flexible demands to maximize the short term profit it proposes a short term planning framework to forecast the load under dynamic tariffs and construct biding curves stochastic programming is applied to manage the uncertainties of spot price regulating price consumption behaviors and responsiveness to dynamic tariffs a case study based on data from sweden is carried out it demonstrates that a real time selling price can affect the aggregate load of a residential consumer group and lead to load shift toward low price periods the optimal bidding curves for specific trading periods are illustrated through comparing the bidding strategies under different risk factors the case study shows that a risk averse retailer tends to adopt the strategies with larger imbalances the benefit lies in the reduction of low profit risk however the aversion to risk can only be kept in a certain level a larger imbalance may lead to a quick reduction of profit in all scenarios

a simple general equilibrium model of large excess reserves abstract in a general equilibrium macroeconomic model with a banking system that can hold large excess reserves and is subject to possibly binding capital constraints i study how the quantity of government provided monetary assets is related to the price level in steady state when the central bank does not pay interest on reserves the price level moves one for one with the monetary base if instead the central bank can pay interest on reserves at market rates the price level can decouple from the quantity of monetary assets in the economy a larger monetary base need not imply a higher price level however for large enough levels of reserves the capital constraint binds and the tight link between money and prices reemerges

on the electrical two part tariff the brazilian perspective this paper discusses in terms of brazil s situation the use of a nonlinear pricing approach in the application of a two part tariff to electricity distribution networks the principles that uphold charging access and usage are to optimize energy systems that are based on a generation technology mix such a pricing approach is used in brazil where the generation mix is mainly hydro generation this study shows that in a case like brazil s a two part tariff may be used as a tool for network optimization the paper presents a design for a two part tariff for a distribution system with varying consumer behavior to validate the discussion we offer a numerical example finally remarks are given concerning pricing access and usage for low voltage level consumers

integration of price cap and yardstick competition schemes in electrical distribution regulation the disadvantages of traditional rate of return regulation for distribution tariffs have led to he development of new regulatory schemes to stimulate efficiency in the provision of the service under what has been called benchmark regulation the paper assesses the chilean model company regulation that aims at making the private distribution monopoly compete with a reference efficient model company through a yardstick competition approach it compares it with the price cap scheme used in electricity distribution in england and wales it contributes with a proposal to integrate both schemes the proposed hybrid methodology is developed and evaluated capturing the best characteristics of both regulatory schemes mathematical models to relate operational costs with electrical variables are developed

real options approach to renewable energy investments in mongolia developing nations are seeking alternative energy for electricity and one attractive alternative is renewable energy this research analyzes changing investment environment for renewable energy with real options approach and explores its potential in developing economies through studying the case of mongolia under coal price uncertainty to evaluate comparative attractiveness of either continuing to use coal based infrastructures or switching to renewable energy we formulate social revenue functions for the two environments assuming that renewable energy has lower external costs and coal prices follow geometric brownian motion gbm or geometric mean reverting gmr processes we find the optimal trigger coal prices for switching technologies with some scenarios in electricity price and externality characterize when renewable energy investments become attractive in contrast to conventional wisdom we identify some situations where the value of having more decision opportunities does not exceed that of a now or never decision for switching technologies and welfare losses are incurred the optimal trigger prices are higher in gbm than in gmr and our result raises the possible risks for waiting to switch energy to avoid welfare losses in mongolia the government should increase electricity prices or switch to renewable energy earlier especially when people pay more for the removal of externalities

the influence of distributed generation penetration levels on energy markets planning of national energy policies brings new dilemmas with the introduction of distributed generators dg economic theory suggests that a perfectly competitive market would lead to efficient pricing in the absence of competition regulators play a fundamental role in attracting reasonably priced finance in order to maintain refurbish and increase the infrastructure and provide services at a reasonable cost energy market price equilibrium is mainly dependent on suppliers generators energy sources and demand represented by conventional utility grid users its behavior is similar to that of other commodities as generation becomes less centralized with the increasing economic viability of renewable energy sources new suppliers are being connected to the grid such evolution means the transition from a monopolistic market to a broader and more open environment with an increasing number of competitors we make use of variational inequalities to model a hypothetical dg market in different scenarios from monopoly to oligopoly to open market such an approach enables different equilibrium outcomes due to different dg penetration levels based on these findings we argue that energy policies for such markets must be developed according to each specific stage of the grid s lifecycle we show how energy policies and market regulations may affect such a transition which may be catastrophic if not managed properly and which is dependent on the energy mix

asset fire sales and credit easing in a january 2009 lecture on the financial crisis federal reserve chairman bernanke advocated a new fed policy of credit easing defined as a combination of lending to financial institutions providing liquidity directly to key credit markets and buying of long term securities we show that bernanke s analysis and recommendations can be naturally considered in a model of unstable banking which relies on two mechanisms 1 fire sales reduce asset prices below fundamental values and 2 financial institutions prefer speculation to new lending when markets are dislocated we analyze credit easing and compare it to alternative government interventions during the crisis this abstract was borrowed from another version of this item

non renewable and intermittent renewable energy sources friends and foes abstract this paper studies the links between non renewable and intermittent renewable energy sources in the production of electricity using u s state level data from 1998 to 2015 we find that the relationship between the price of natural gas and investments in solar and wind capacity is non linear and can be represented by an inverted u shape hence for relatively low natural gas prices the two modes of production are substitutes after a price threshold is reached the two are complementary a theoretical explanation argues that this stylized fact is the result of a trade off between two characteristics of these modes of production the high degree of flexibility of electricity production using natural gas as an input and the low marginal cost of renewable energy sources

efficient pricing and investment in electricity markets with intermittent resources facing growing technological and environmental challenges the electricity industry needs effective pricing mechanism to promote efficient risk management and investment decisions in a restructured electricity market with competitive wholesale prices and traditionally regulated retail rates however there are technical and institutional barriers that prevent dynamic pricing with price responsive demand in regions with limited energy storage capacity intermittent renewable resources present special challenges this could adversely affect the effectiveness of public policies causing inefficient investments in energy technologies in this paper we present an updated economic model of pricing and investment in restructured electricity market and use the model in a simulation study for an initial assessment of renewable energy strategy and alternative pricing mechanisms a key objective of the study is to shed light on the policy issues so that effective decisions can be made to improve efficiency

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

does macro prudential regulation leak evidence from a uk policy experiment the regulation of bank capital as a means of smoothing the credit cycle is a central element of forthcoming macro prudential regimes internationally for such regulation to be effective in controlling the aggregate supply of credit it must be the case that i changes in capital requirements affect loan supply by regulated banks and ii unregulated substitute sources of credit are unable to offset changes in credit supply by affected banks this paper examines micro evidence lacking to date on both questions using a unique data set in the uk regulators have imposed time varying bank specific minimum capital requirements since basel i it is found that regulated banks uk owned banks and resident foreign subsidiaries reduce lending in response to tighter capital requirements but unregulated banks resident foreign branches increase lending in response to tighter capital requirements on a relevant reference group of regulated banks this leakage is substantial amounting to about one third of the initial impulse from the regulatory change

the myth of financial innovation and the great moderation financial innovation is widely believed to be at least partly responsible for the recent financial crisis at the same time there are empirical and theoretical arguments that support the view that changes in financial markets in particular innovations in consumer credit and home mortgages played a role in the great moderation this article questions empirical evidence supporting this view especially the behaviour of aggregate home mortgages changed less during the great moderation than is typically believed a remarkable change we do find is that monetary tightenings became episodes during which financial institutions other than banks increased their mortgages holdings

the macroeconomic effects of large scale asset purchase programmes the effects of asset purchase programs on macroeconomic variables are likely to be moderate we reach this conclusion after simulating the impact of the federal reserve s second large scale asset purchase program lsap ii in a dsge model enriched with a preferred habitat framework and estimated on u s data our simulations suggest that such a program increases gdp growth by less than half a percentage point although the effect on the level of gdp is very persistent the program s marginal contribution to infl ation is very small one key reason for our fi ndings is that we estimate a small degree of fi nancial market segmentation if we enrich the set of observables with a measure of long term debt the semi elasticity of the risk premium to the amount of debt in privatesector hands is substantially smaller than that reported in the recent empirical literature in this case our baseline estimates of the effects of lsap ii on the macroeconomy decrease by at least a factor of two throughout the analysis a commitment to an extended period at the zero lower bound for nominal interest rates increases the effects of asset purchase programs on gdp growth and infl ation

perceived price complexity of dynamic energy tariffs an investigation of antecedents and consequences dynamic tariffs have the potential to contribute to a successful shift from conventional to renewable energies but tapping this potential in europe ultimately depends on residential consumers selecting them this study proposes and finds that consumer reactions to dynamic tariffs depend on the level of perceived price complexity that represents the cognitive effort consumers must engage in to compute the overall bill amount an online experiment conducted with a representative sample of 664 german residential energy consumers examines how salient characteristics of dynamic tariffs contribute to perceived price complexity subsequently a structural equation model sem reveals that the depth of information processing is central to understand how price complexity relates to consumers behavioral intentions the results suggest that it will be challenging to convince european consumers to select complex dynamic tariffs under the current legal framework policymakers will need to find ways to make these tariffs more attractive

electricity time of use tariff with consumer behavior consideration abstract this paper investigates an electricity time of use tou tariff problem with the consideration of consumer behavior under the tou tariff we consider two periods the peak and base periods a two level model is established to solve the tou tariff problem in the upper level the producer determines the tou tariff with the consideration of consumer behavior in the lower level the consumers respond to the tou tariff through shifting some electricity consumption in the peak period to the base period using the traditional flat rate fr tariff as a baseline we verify the conditions under which the producer has incentives to adopt the tou tariff with the adoption of a general consumer transfer cost we solve for the optimal tou tariff under different situations our results demonstrate that proper adoption of the tou tariff can create a win win situation for both the producer and the consumers the producer can increase its profit and the consumers can save their electricity cost we further evaluate the effectiveness of the tou tariff in terms of the peak demand reduction using a quadratic transfer cost we obtain some managerial insights into the tou tariff problem and illustrate that the tou tariff is always beneficial to the producer and the consumers under the quadratic transfer cost

bayesian evaluation of dsge models with financial frictions we evaluate two most popular approaches to implementing financial frictions into dsge models the bernanke gertler and gilchrist 1999 setup where frictions affect the price of loans and the kiyotaki and moore 1997 model where they concern the quantity of loans we take both models to the data and check how well they fit it on several margins overall comparing the models favors the bernanke gertler and gilchrist framework however even this model does not make a clear improvement over the new keynesian benchmark in terms of marginal likelihood and similarity of impulse responses to those obtained from a var

nonconventional renewable energy governance in brazil lessons to learn from the german experience abstract this paper presents a comparative analysis of energy governance regarding nonconventional renewable energy sources ncres in brazil and germany brazil is a world leader in the use of conventional renewable energy sources such as hydro power while germany has been achieving outstanding results in fostering ncres the focus is on two critical issues the legal and regulatory framework and the institutions created to support the ncres market development the comparison shows that despite the very different energy situations and policy drivers valuables lessons can be extracted from the german experience the main lesson for brazil is to think ncres as a strategic opportunity to rely less on fossil fuel and large hydroelectric power plants to decentralize the electric power sector to use the huge solar biomass and wind power potential available in the country and to create a environment friendly ncres industry to this end three critical points were identified 1 the legal and regulatory framework should be improved 2 long term energy planning taking into account social economic and climate issues and 3 the current institutions supporting ncres in brazil should be upgraded and or new ones such as more specific energy agencies should be created

on the trade off between real time pricing and the social acceptability costs of demand response abstract dynamic tariff policies have become an essential feature of modern electric grid design the successful implementation of such policies usually depends on overcoming the resistance of end users to real time pricing and its political implications in this paper we review the literature on the social acceptability costs of implementing demand response programs and we discuss the key features of implementing a real time price to energy although the literature acknowledges the existence of a social acceptability cost it does not propose an explicit approach to dealing with this issue a model for investigating the implications of the social acceptability cost is thus introduced and through it we discuss thoroughly the joint impact of the elasticity and externality parameters on the tariff design of a demand response program we explore how the increases in elasticity and in externality effects influence price changes in such programs and how the social acceptability cost could be reduced as a function of pricing policies we conclude by discussing the policy design mechanisms in line with demand elasticity and their role in decreasing price variations to cope with the minimum volatility principle in the presence of policies that penalize high prices there is an even further decrease in price variations

a macroeconomic model with a financial sector this paper studies a macroeconomic model in which financial experts borrow from less productive agents we pursue four sets of results i the economy is prone to instability and occasionally enters volatile episodes as volatility spikes agents precautionary motive increases depressing prices even further log linear approximations fail to capture these non linear effects that can cause economies to be significantly depressed for long periods of time ii endogenous risk during volatile episodes increases asset price correlations iii financial experts impose a negative externality on each other and on the labor sector by not maintaining adequate capital cushion and funding structure iv while risk sharing within the financial sector through securitization and derivatives contracts reduces many inefficiencies it can also amlify systemic risks

evaluating central banks tool kit past present and future abstract we develop a structural dsge model to systematically study the principal tools of unconventional monetary policy quantitative easing qe forward guidance and negative interest rate policy nirp as well as the interactions between them to generate the same output response the requisite nirp and forward guidance interventions are twice as large as a conventional policy shock which seems implausible in practice in contrast qe via an endogenous feedback rule can alleviate the constraints on conventional policy posed by the zero lower bound quantitatively qe1 qe3 can account for two thirds of the observed decline in the shadow federal funds rate in spite of its usefulness qe does not come without cost a large balance sheet has consequences for different normalization plans the efficacy of nirp and the effective lower bound on the policy rate

predicting u s recessions financial variables as leading indicators this paper examines the out of sample performance of various financial variables as predictors of u s recessions series such as interest rates and spreads stock prices and monetary aggregates are evaluated individually and in comparison with other financial and nonfinancial indicators the analysis focuses on out of sample performance from one to eight quarters ahead results show that stock prices are useful with one to three quarter horizons as are some well known macroeconomic indicators beyond one quarter however the slope of the yield curve emerges as the clear individual choice and typically performs better by itself out of sample than in conjunction with other variables

tacking stock of the eu power target model and steering its future course abstract the european union took more than 20 years to start defining a common market design for its internal electricity market a european power target model and a further 10 years to fully implement it meanwhile the reference generation set of that model has shifted from ccgt burning gas to res plants transforming intermittent natural resources could the existing eu target model continue to work well for the short term operation and long term investment if not can the existing eu institutions easily produce an res resilient new power target model

financial crises bank risk exposure and government financial policy a macroeconomic model with nancial intermediation is developed in which the intermediaries banks can issue outside equity as well as short term debt this makes bank risk exposure an endogenous choice the goal is to have a model that can not only capture a crisis when banks are highly vulnerable to risk but can also account for why banks adopt such a risky balance sheet in the rst place we use the model to assess quantitatively how perceptions of fundamental risk and of government credit

how capital regulation and other factors drive the role of shadow banking in funding short term business credit abstract this paper empirically analyzes how capital regulation risk and other factors altered the relative use of shadow banking funded short term business debt since the early 1960s results indicate that the share was affected over the long run not only by changing information and reserve requirement costs but also by shifts in relative regulation of bank versus nonbank credit sources such as basel i in 1990 and reregulation in 2010 in the short run the shadow bank share rose when deposit interest rate ceilings were binding on traditional banks the economic outlook improved or risk premia declined and fell when event risks arose

analysis of reflectivity predictability of electricity network tariff structures for household consumers distribution network operators charge household consumers with a network tariff so they can recover their network investment and operational costs with the transition towards a sustainable energy system the household load is changing through the introduction of photovoltaics and electric vehicles the tariff structures which are currently employed in the eu are either capacity and or energy consumption based in light of the changes in the household load the question whether these tariff structures are the most suitable merits renewed attention in this work the cost reflectivity of various tariff structures has been computed based on a distribution network planning approach next to this the predictability of a network tariff i e how much change would a household experience in network charges in two consecutive years has also been computed to gain insight into how well users will be able to react to the tariff the results show that a peak load based network tariffs score best on the reflectivity while having an acceptable level of predictability the switch from an energy consumption based network tariff which is now most often applied towards a peak load based network tariff should therefore be considered

long run incremental cost pricing based on unused capacity this paper proposes a novel approach for providing long run incremental cost lric pricing in network charges the proposed approach makes use of the unused capacity of an exiting network to reflect the cost of advancing or deferring future investment consequent upon the addition of generation or load at each study node on a distribution network compared with existing approaches to lric pricing the proposed approach produces forward looking charges that reflect both the extent of the network needed to service the generation or load and the degree to which that network is utilized the efficacy of the proposed lric approach has been validated by a comparison with the established investment cost related pricing icrp method used for deriving transmission charges in great brain gb this paper draws on work undertaken in projects for western power distribution and ofgem office of gas and electricity markets u k however the views expressed in this paper are those of the authors

contract durations in the electricity market causal impact of 15 min trading on the epex spot market abstract the european power exchange epex introduced two new products in 2011 and 2014 which reduce the delivery duration of electricity from 1 h to 15 min intervals these changes to the market design aim to better reflect the intermittent power generation from renewable energy sources however little is known about trading in shorter intervals and its impact on the existing market as a remedy our evaluation first shows that the market has quickly adopted the new 15 min contracts second we estimate a bayesian structural time series which measures a causal decrease of electricity prices depending on the model specification our results indicate that the reduction can be as high as 28 for existing hourly contracts subsequent to the introduction of 15 min trading third the use of 15 min contracts coincides with intermittent power generation as it incentivizes renewable energy providers to offer additional electricity altogether our findings suggest that 15 min trading is used to balance the intra hour volatility of renewable energy sources consequently this presents a blueprint for policy makers who can attain similar price reductions and larger feed ins from renewable energy sources without direct costs in all countries with high shares of renewable energy sources

the role of bank capital in the propagation of shocks abstract the recent financial turmoil has underlined the importance of analyzing the link between banks balance sheets and economic activity we develop a dynamic stochastic general equilibrium model in which bank capital mitigates an agency problem between banks and their creditors as a result the capital position of banks affects their ability to attract loanable funds and therefore influences the business cycle through a bank capital channel of transmission we find that the bank capital channel greatly amplifies and propagates the effects of technology shocks on output investment and inflation moreover bank capital shocks create sizeable declines in output and investment

impact of electricity pricing policies on renewable energy investments and carbon emissions we investigate the impact of pricing policies i e flat pricing versus peak pricing on the investment levels of a utility firm in two competing energy sources renewable and conventional with a focus on the renewable investment level we consider generation patterns and intermittency of solar and wind energy in relation to the electricity demand throughout a day industry experts generally promote peak pricing policy as it smoothens the demand and reduces inefficiencies in the supply system we find that the same pricing policy may lead to distinct outcomes for different renewable energy sources due to their generation patterns specifically flat pricing leads to a higher investment level for solar energy and it can lead to still more investments in wind energy if a considerable amount of wind energy is generated throughout the day we validate these results by using electricity generation and demand data of the state of texas we also show that flat pricing can lead to substantially lower carbon e

a macroprudential approach to financial regulation many observers have argued that the regulatory framework in place prior to the global financial crisis was deficient because it was largely microprudential in nature a microprudential approach is one in which regulation is partial equilibrium in its conception and aimed at preventing the costly failure of individual financial institutions by contrast a macroprudential approach recognizes the importance of general equilibrium effects and seeks to safeguard the financial system as a whole in the aftermath of the crisis there seems to be agreement among both academics and policymakers that financial regulation needs to move in a macroprudential direction in this paper we offer a detailed vision for how a macroprudential regime might be designed our prescriptions follow from a specific theory of how modern financial crises unfold and why both an unregulated financial system as well as one based on capital rules that only apply to traditional banks is likely to be fragile we begin by identifying the key market failures at work why individual financial firms acting in their own interests deviate from what a social planner would have them do next we discuss a number of concrete steps to remedy these market failures we conclude the paper by comparing our proposals to recent regulatory reforms in the united states and to proposed global banking reforms

on the efficient market diffusion of intermittent renewable energies abstract capacity costs of renewable energies have been decreasing dramatically and are expected to fall further making them more competitive with fossils building on an analytically tractable peak load pricing model we analyze how intermittency of renewable energies affects the market diffusion that results from these lower costs in particular once renewables have become competitive by attaining the same levelized cost of electricity lcoe as fossils the marginal increase in efficient capacities due to a further cost reduction varies substantially initially it is small then it rises but it falls again once renewable capacities are large enough to satisfy the whole electricity demand at times of high availability if external costs of fossils are internalized by a pigouvian tax then perfect competition leads to efficient investments in renewable and fossil capacities even though we assume that only a subgroup of consumers can adapt their demand to price fluctuations that are caused by the intermittency of renewables moreover fossils receive a capacity payment through the market for their reliability in serving demand of non reactive consumers maximum electricity prices rise with the share of renewables if regulators impose a price cap this initially raises investments in renewables but the effect may reverse if the share of renewables is large

priority service pricing investment and market organization tingent forward delivery contracts offered by a seller each customer s selection of one contract from the menu determines the customer s service order or priority in each contingency the seller rations supplies by serving customers in order of their selected priorities until the supply is exhausted or all customers are served various forms of priority service are widely

efficient and competitive rationing abstract the contracts that interest us here are called priority service contracts the salient feature of such contracts is that they specify each customer s priority in obtaining service that is they specify the tank order in which a customer is served out of the available supply until all customers are served or supply is exhausted such contracts essentially establish queues for customers in section 1 the author provides some background about priority service section 2 formulates a basic model and offer several illustrations also describes two main examples that motivate the theoretical development section 3 derives some key results that show how the prices of priority service contracts are designed to induce customers to self select efficient service orders in section 4 the author discusses various ways that state enterprises can organize markets that implement priority service efficiently in section 5 we study the operation of competitive markets for priority service section 6 concludes with some summary remarks two themes are emphasized one is that a state enterprise can promote substantial efficiency gains by substituting priority service for absent spot markets the other is that oligopolistic firms may have insufficient incentives to offer efficient product diversity consequently allocative efficiency depends on entry of numerous firms even so dispersal of supplies among many firms can prevent productive efficiency when there are advantages from pooling supplies

a capacity investment model of wind power with uncertain supply price under high penetration rate abstract with the rapid development of renewable energy the proportion of wind power in power supply has grown significantly also it influences the power price fluctuation since the marginal cost of wind power is almost zero the growth of wind power s penetration rate has led to a crowding out effect and challenged traditional power generation technology substantially reducing the power price in the market in perfect competition market the real time balance between supply and demand of power is regulated by the real time power price fluctuation so this paper models the intermittence of wind power as uncertain supply and develops a capacity investment model under the uncertainties of both supply and demand we introduce priority dispatch elasticity to describe the crowding out effect and take the power price to be endogenous in order to model the situation of high penetration rate we compare the optimal wind power capacity decision under the strategy of priority grid connection and abandoned power management our results show that optimal capacity investment is inversely related to priority dispatch elasticity under both strategies however the profit from power generation is always higher when adopting the abandoned power management strategy

introducing a demand based electricity distribution tariff in the residential sector demand response and customer perception increased demand response is essential to fully exploit the swedish power system which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate chan

electricity tariff design for transition economies application to the libyan power system this paper presents a general electricity tariff design methodology especially applicable for transition economies these countries are trying to modernize their power systems from a centralized environment with normally a public vertically integrated electric company to a liberalized framework unbundling electricity companies and eventually starting a privatization process two issues arise as crucial to achieving a successful transition i ensuring cost recovery for all future unbundled activities generation transmission distribution and retailing and ii sending the right price signals to electricity customers avoiding cross subsidies between customer categories the design of electricity tariffs plays a pivotal role in achieving both objectives this paper proposes a new tariff design methodology that complying with these two aforementioned criteria requires a low amount of information regarding system data and customer load profiles this is important since typically volume and quality of data are poor in those countries the presented methodology is applied to computing tariffs for the libyan power system in 2006 using real data

distribution charges for consumers and microgeneration considering load elasticity sensitivity abstract this paper presents an approach for calculating a tariff for electrical energy distribution systems the methodology is similar to the standard tariff calculation method used in brazil the approach combines the concepts of time of use tariffs and ramsey prices the process initially designed for energy consumers can be used to establish tariffs for micro generation units the resulting regulated distribution tariffs for both consumer and generation units has an hourly signal associated with long run marginal costs moreover while minimizing any loss of social benefits the tariffs comply with the revenue reconciliation constraint the proposed approach is applied to a real brazilian distribution system and compared to the current procedure used by the brazilian electricity regulatory agency

rare disasters asset prices and welfare costs a representative consumer model with epstein zin weil preferences and i i d shocks including rare disasters accords with observed equity premia and risk free rates if the coefficient of relative risk aversion equals 3 4 if the intertemporal elasticity of substitution exceeds one an increase in uncertainty lowers the price dividend ratio for equity and a rise in the expected growth rate raises this ratio calibrations indicate that society would willingly reduce gdp by around 20 percent each year to eliminate rare disasters the welfare cost from usual economic fluctuations is much smaller though still important corresponding to lowering gdp by about 1 5 percent each year

monetary policy as financial stability regulation this paper develops a model that speaks to the goals and methods of financialstability policies there are three main points first from a normative perspective the model defines the fundamental market failure to be addressed namely that unregulated private money creation can lead to an externality in which intermediaries issue too much short term debt and leave the system excessively vulnerable to costly financial crises second it shows how in a simple economy where commercial banks are the only lenders conventional monetary policy tools such as open market operations can be used to regulate this externality while in more advanced economies it may be helpful to supplement monetary policy with other measures third from a positive perspective the model provides an account of how monetary policy can influence bank lending and real activity even in a world where prices adjust frictionlessly and there are other transactions media besides bank created money that are outside the control of the central bank

the procyclical effects of bank capital regulation we assess the procyclical effects of bank capital regulation in a dynamic equilibrium model of relationship lending in which banks are unable to access the equity markets every period banks anticipate that shocks to their earnings as well as the cyclical position of the economy can impair their capacity to lend in the future and as a precaution hold capital buffers we find that under cyclically varying risk based capital requirements e g basel ii banks hold larger buffers in expansions than in recessions yet these buffers are insufficient to prevent a significant contraction in the supply of credit at the arrival of a recession we show that cyclical adjustments in the confidence level underlying basel ii can reduce its procyclical effects on the supply of credit without compromising banks long run solvency targets

the effect of demand response on purchase intention of distributed generation evidence from japan participation in demand response dr may affect a consumer s electric consumption pattern through consumption load curtailment a shift in the consumption timing or increasing the utilization of distributed generation dg this paper attempts to provide empirical evidence of dr s effect on dg adoption by household consumers by using the original internet survey data of 5442 household respondents in japan conducted in january 2015 we focus on the effect of the time of use tou tariff on the purchasing intention of photovoltaic systems pv the empirical results show the following 1 current tou plan users have stronger pv purchase intentions than the other plan users 2 respondents who are familiar with the dr program have relatively higher purchase intentions compared with their counterparts and 3 when the respondents are requested to assume participation in the virtual tou plan designed for the survey which resembles plans currently available through major companies 1 2 of the households have decided to purchase pv in addition we provide calculations of tou s impacts on the official pv adoption and emissions reduction targets and discuss policy recommendations to increase recognitions and participations in tou programs

a re examination of the predictability of economic activity using the yield spread this paper revisits the yield spread s usefulness for predicting future real gdp growth we show that the contribution of the spread can be decomposed into the effect of expected future changes in short rates and the effect of the term premium we find that both factors are relevant for predicting real gdp growth but the respective contributions differ we investigate whether the cyclical behavior of interest rate volatility could account for either or both effects we find that while volatility displays important correlations with both the term structure of interest rates and gdp it does not appear to account for the yield spread s usefulness for predicting gdp growth

is fairly priced deposit insurance possible we analyze risk sensitive incentive compatible deposit insurance in the presence of private information and moral hazard without deposit linked subsidies it is impossible to implement risk sensitive incentive compatible deposit insurance pricing in a competitive deregulated environment except when the deposit insurer is the least risk averse agent in the economy we establish this formally in the context of an insurance scheme in which privately informed depository institutions are offered deposit insurance premia contingent on reported capital the result holds for alternative sorting instruments as well this suggests a contradiction between deregulation and fairly priced risk sensitive deposit insurance this paper exposes a conflict between a deregulated competitive financial services industry on the one hand and fairly priced risk sensitive deposit insurance on the other we show that if depository institutions dis are perfectly competitive i e each makes zero profits on average then it is impossible to implement incentive compatible risk sensitive deposit insurance pricing recent distress among dis has fueled debate about reform of the existing deposit insurance system many believe that the prevailing risk insensitive premium structure encourages dis to choose excessively risky assets and that it should be replaced by deposit insurance premia linked to the dis choices of risk 2 risk sensitive deposit insurance pricing however imposes greater informational demands on the deposit insurer and runs afoul of both

a new approach to identifying the real effects of uncertainty shocks this article introduces the use of the sign restrictions methodology to identify uncertainty shocks we apply our methodology to a class of vector autoregression models with stochastic volatility t

shadow banks and macroeconomic instability we develop a macroeconomic model in which in which commercial banks can o oad risky loans to a highly levered shadow banking sector and financial intermediaries trade in securitized assets we highlight the liquidity creation role played by securitization we show how an endogenous tightening of credit constraints can exacerbate the e ect of shocks by limiting the ability of shadow banks to supply collateral and of banks to securitize the model is able to reproduce the cyclical behavior of bank and non bank credit and leverage macroeconomic shocks that directly impact the worth of financial sector are particularly harmful to economic activity but purely redistributive intra financial shocks can also generate recessions we discuss how government policy can stabilize the securitization market when the shadow banking system becomes impaired

do benefits from dynamic tariffing rise welfare effects of real time retail pricing under carbon taxation and variable renewable electricity supply we analyze the gross welfare gains from real time retail pricing in electricity markets where carbon taxation induces investment in variable renewable technologies applying a stylized numerical electricity market model we find a u shaped association between carbon taxation and gross welfare gains the benefits of introducing real time pricing can accordingly be relatively low at relatively high carbon taxes and vice versa the non monotonous change in welfare gains can be explained by corresponding changes in the inefficiency arising from under consumption during low price periods rather than by changes in wholesale price volatility our results may cast doubt on the efficiency of ongoing roll outs of advanced meters in many electricity markets since net benefits might only materialize at relatively high carbon tax levels and renewable supply shares

does renewable energy generation decrease the volatility of electricity prices an analysis of denmark and germany although variable renewable energy vre technologies with zero marginal costs decrease electricity prices the literature is inconclusive about how the resulting shift in the supply curves impacts price volatility because the flexibility to respond to high peak and low off peak prices is crucial for demand response applications and may compensate for the losses of conventional generators caused by lower average prices there is a need to understand how the penetration of vre affects volatility in this paper we build distributed lag models with danish and german data to estimate the impact of vre generation on electricity price volatility we find that in denmark wind power decreases the daily volatility of prices by flattening the hourly price profile but in germany it increases the volatility because it has a stronger impact on off peak prices our analysis suggests that access to flexible generation capacity and wind power generation patterns contribute to these differing impacts meanwhile solar power decreases price volatility in germany by contrast the weekly volatility of prices increases in both areas due to the intermittency of vre thus policy measures for facilitating the integration of vre should be tailored to such region specific patterns

demand side management in china the context of china s power industry reform abstract the reform of china s power industry has lasted for decades while the implementation of demand side management dsm in china is still in its infancy in this paper we present a comprehensive study of the dsm and demand response dr programs in china under the context of china s power industry reform we first present a brief introduction of the background including the socio economic status and geographical location of china the energy policy of china china s power industry the smart grids and microgrid in china and the reform of china s power industry then based on the introduction of dsm and the analysis of dsm practices in some countries we discuss the development status of dsm and the reform of electricity pricing in china finally the main challenges in five aspects for the future development of dsm programs in china are proposed and discussed these challenges include customer understanding and participation advanced metering infrastructure ami and information and communication technology ict pricing mechanisms and optimal scheduling big data analytics based decision support as well as government regulations and market policies

categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions abstract in a smart er grid context the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end user concerning electricity management however the residential end user will not be always available to manage energy resources and decide based on price signals and preferences needs the best response actions to implement or the best usage of the electricity produced locally therefore energy management systems are required to monitor consumption generation storage and to make the best decisions according to input signals and the user s needs and preferences the design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads according to availability typical usage patterns working cycles and technical constraints automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics in this paper a characterization of household electricity consumption is presented and an operational categorization of end use loads is proposed the existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented the results obtained show the potential savings for the end user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley

methodology for the identification evaluation and prioritization of market handicaps which prevent the implementation of demand response application to european electricity markets this paper presents a methodology for the identification analysis and comparative assessment of the handicaps which nowadays prevent the higher implementation of demand response dr in the electricity market its application provides a hierarchical organization of handicaps from the most critical to the less critical and then from the easiest to the most difficult to overcome this makes possible to determine which barriers would be a priority which may indicate the direction of regulatory changes to properly address these handicaps and so stimulating a higher participation of the demand side in electricity markets after applying the methodology to three european countries 34 handicaps have been identified analyzing which of these handicaps affect such stakeholders as grid operators retailers and customers and how these stakeholders are affected for each handicap the criticality and difficulty to overcome the different handicaps have been studied based on detailed information coming from personal interviews to experts representing the different stakeholders in the electricity trading chain regulatory barriers have been identified as the most critical and difficult to overcome together with regulatory changes the promotion of aggregators and the training of customers on dr applications are some of the most significant initiatives

residential electricity pricing in china the context of price based demand response abstract as a secondary energy electricity is an important channel between original energy and energy consumers electricity price is a critical factor for the interests of all involvers in the electric power market it also plays an important role for the sustainable development of energy and environment smart grid is a new conception proposed in recent years to improve the intelligent level and increase the efficiency of electric power system operation smart grid combines and integrates information technology communication technology and intelligent control technology with tradition power system to achieve the many objectives of smart grid demand response dr as an effective technique of demand side management dsm refers to the changes in electricity consumption behavior of users in response to the dynamic price or incentive rewards price based demand response pbdr is one of the two major dr programs in this paper we first introduce the pricing theories in economics the pricing of electricity and the development of electricity pricing in china then we present a detailed discussion on the pbdr strategies in the dsm of smart grid also the research status of pbdr is reviewed finally it gives a summary of the whole paper in the last section

designing more cost reflective electricity network tariffs with demand charges abstract there is growing policy and regulatory interest in better aligning electricity tariffs with the cost of providing network services to customers to provide a better price signal for economically efficient use of the network and reduce cross subsidies between different customers given that network costs are significantly driven by peak capacity requirements many proposals for more cost reflective tariffs include a demand capacity component however there are many complexities in the implementation of such tariffs this paper first presents a method to visually assess how cost reflective a particular demand charge network tariffs is we apply it to a typical demand charge network tariff proposal within the australian national electricity market and actual consumption data of 3876 sydney households and find it to have low cost reflectivity in terms of aligning customer bills with their contribution towards network peak demand such misalignment has potentially significant adverse impacts on the economic efficiency of such tariffs an issue that does not appear to have received sufficient policy attention we then use this assessment method to demonstrate how a demand charge tariff structure can be adjusted to make it significantly more cost reflective this method can be applied to any tariff that includes a capacity based component

capital regulation and monetary policy with fragile banks optimizing banks subject to runs are introduced in a macro model to study the transmission of monetary policy and its interplay with bank capital regulation when banks are risky a monetary expansion and a positive productivity shock increase bank leverage and risk risk based capital requirements amplify the cycle and are welfare detrimental within a class of simple policy rules the best combination includes mildly anticyclical capital ratios as in basel iii and a response of monetary policy to asset prices or bank leverage

how market design shapes the spatial distribution of power plant curtailment costs abstract when multiple power plants are curtailed at the same time and in the same region electricity system costs rise if transmission lines are congested these costs might be amplified and spatially more concentrated because there are less spatial spill overs we study how such costs and their distribution depend on the market design nodal pricing or uniform pricing we extend the literature on curtailment by considering space and market design and the literature on market design by considering curtailment we expose a dc load flow model for germany to severe correlated curtailment scenarios we find that additional costs are moderate for the simulated week curtailment of 9 3 non renewable capacity reduces welfare by 2 7 uniform pricing with nodal pricing welfare loss can be reduced by 1 5 distributional differences are multiple times larger for nodal pricing producer surplus rises more and costs are spatially more concentrated at the curtailed power plants consumer surplus becomes lower the difference is unlikely to justify changes of the current market design if also wind or photovoltaic feed in is unavailable economic impacts can decrease or increase but remain in the same order of magnitude the spatial electricity system structure matters more than the volume of curtailment

multilevel demand subscription pricing for electric power abstract this paper investigates a general demand subscription pricing policy for electric power service ie a menu of service contracts for assigning different interruption probabilities and prices to different load levels this interruptibility feature is combined with a nonlinear energy price schedule to encourage load flattening we derive a customer value model and a weighted sum objective function for the supplier and consumers for selecting optimal price structures of this type the general form of the optimal price policy is derived and discussed and the implementation methodology is outlined an illustrative example is solved in detail