Renewable electricity policies, heterogeneity, and cost effectiveness

Renewable electricity policies promote investment in renewable electricity generators and have become increasingly common around the world. Because of intermittency and the composition of other generators in the power system, the value of certain renewables---particularly wind and solar---varies across locations and technologies. This paper investigates the implications of this heterogeneity for the cost effectiveness of renewable electricity prices as compared to one another and to a carbon dioxide emissions price. A simple model of the power system shows that renewable electricity policies cause different mixes of investment in renewable and other generator technologies. Policies also differ according to their effect on electricity prices, and both factors cause the cost effectiveness to vary across policies. We use a detailed, long-run planning model that accounts for intermittency on an hourly basis to compare the cost effectiveness for a range of policies and alternative parameter assumptions. The differences in cost effectiveness are economically significant, where broader policies, such as an emissions price, outperform renewable electricity policies.

[1]  E. Mansur.  Measuring Welfare in Restructured Electricity Markets , 2007, The Review of Economics and Statistics.

[2]  A. Lamont.  Assessing the Long-Term System Value of Intermittent Electric Generation Technologies , 2008 .

[3]  Richard Kafka,et al.  Independent system operator , 2013 .

[4]  Joseph Cullen.  Measuring the Environmental Benefits of Wind-Generated Electricity , 2013 .

[5]  Sergey Paltsev,et al.  Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium Analysis , 2009 .

[6]  K. Novan,et al.  Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided † , 2015 .

[7]  C. Fischer,et al.  Renewable Portfolio Standards: When Do They Lower Energy Prices? , 2010 .

[8]  Felix Groba,et al.  Assessing the Strength and Effectiveness of Renewable Electricity Feed-In Tariffs in European Union Countries , 2011 .

[9]  Daniel T. Kaffine,et al.  Emissions Savings from Wind Power Generation in Texas , 2013 .

[10]  Ronnie Belmans,et al.  Integrating short-term demand response into long-term investment planning , 2011 .

[11]  Richard G. Newell,et al.  Environmental and Technology Policies for Climate Mitigation , 2008 .

[12]  Daniel T. Kaffine,et al.  Emissions savings from wind power generation: Evidence from Texas, California and the Upper Midwest , 2012 .

[13]  Shanjun Li,et al.  A New Look at Residential Electricity Demand Using Household Expenditure Data , 2011 .

[14]  The Short-run Residential Demand for Electricity , 1981 .

[15]  K. Palmer,et al.  A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector , 2009 .

[16]  Kara Clark,et al.  Western Wind and Solar Integration Study , 2011 .

[17]  P. Joskow.  Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies , 2011 .

[18]  Dallas Burtraw,et al.  HAIKU DOCUMENTATION: RFF'S ELECTRICITY MARKET MODEL VERSION 2.0 , 2009 .

[19]  Hongyi Li,et al.  Estimation of Short-Run and Long-Run Elasticities of Energy Demand From Panel Data Using Shrinkage Estimators , 1997 .

[20]  Anna Alberini,et al.  Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income , 2011 .

[21]  Joshua Linn,et al.  Incentives of carbon dioxide regulation for investment in low-carbon electricity technologies in Texas , 2011 .