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Interconnections for cross-border electricity trade improve price convergence and welfare. Increased production from variable renewables however implies higher levels of optimal interconnection capacity than in the past. Rather than using scenario building to determine new optimal levels of interconnection capacity, this paper presents a new methodology for Cost-Benefit Analysis (CBA) based on empirical market data, using the French-German electricity trade as an example. Employing a very fine dataset of hourly supply and demand curves (aggregated auction curves) from the EPEX Spot market, it constructs net export (NEC) and net import demand curves (NIDC) for both countries. This allows assessing hourly welfare impacts for incremental capacity and, summed over the year, the annual welfare benefits for each discrete increase in interconnection capacity. Confronting benefits with the annualised costs of increasing interconnection capacity determines the socially optimal increase in interconnection capacity between France and Germany on the basis of empirical market micro-data. [ABSTRACT FROM AUTHOR]

This paper discusses whether a new paradigm is necessary for independent economic regulation of electricity land closely associated natural gas) systems. We begin by summarizing the nature of the traditional model of electricity reform and the place of economic regulation within it. Next we outline the drivers for changing the current model of electricity regulation, namely, the maturity of the existing model, the reality of changing circumstances, and the coming of age of climate change concern. We go on to discuss the premises on which a new model of regulation should be based. These are: remembering the successes of the current system of regulation; a new focus on processes not just outcomes; a recognition of the economics of climate change; and the appropriate management of uncertainty. We then highlight the key elements of a new model for regulation: new processes of regulation; new models of competition and the issues raised by focus on climate change. The paper draws heavily on the experience of the UK, but has direct implications for the rest of the European Union countries and for other countries whose regulatory systems mirror them. [ABSTRACT FROM AUTHOR]

This paper evaluates the energy efficiency of EU countries over the period 2000-2010. At the first stage, data envelopment analysis (DEA) is used, combining multiple energy consumption data and economic outputs. The efficiency estimates obtained from the analysis are evaluated in a second stage through a multiple criteria decision aiding methodology (MCDA). The proposed non-parametric approach combining DEA with MCDA enables modeling of the problem in an integrated manner, not only providing energy efficiency estimates but also supporting the analysis of the main contributing factors, as well as the development of a benchmarking model for energy efficiency evaluation at the country level. [ABSTRACT FROM AUTHOR]

This paper estimates the welfare-optimal market share of wind and solar power, explicitly taking into account their output variability. We present a theoretical valuation framework that consistently accounts for the impact of fluctuations over time, forecast errors, and the location of generators in the power grid on the marginal value of electricity from renewables. Then the optimal share of wind and solar power in Northwestern Europe's generation mix is estimated from a calibrated numerical model. We find the optimal long-term wind share to be 20%, three times more than today; however, we also find significant parameter uncertainty. Variability significantly impacts results: if winds were constant, the optimal share would be 60%. In addition, the effect of technological change, price shocks, and policies on the optimal share is assessed. We present and explain several surprising findings, including a negative impact of CO2 prices on optimal wind deployment. [ABSTRACT FROM AUTHOR]