Renewable Generation and the Electricity Grid
Paper Session
Sunday, Jan. 8, 2023 10:15 AM - 12:15 PM (CST)
- Chair: Andrew Yates, University of North Carolina-Chapel Hill
Decomposing the Effect of Renewables on the Electricity Sector
Abstract
Renewables offer the potential for a dramatic reduction in electricity sector pollution, and continued cost reductions in these technologies may provide lower electricity prices. Yet, the growth of renewables is not without concern. Renewable resources possess unique characteristics—zero marginal cost, intermittency, and uncertainty—that may pose both technical and economic challenges to the operation of electricity grids. In this paper, we examine wind generation and wholesale electricity prices in the Texas electricity market, which features the greatest penetration of wind generation among all US electricity markets at nearly 20%. We estimate the overall effect of wind generation on electricity prices and price dispersion and then decompose these effects in terms of wind’s unique characteristics. We find that the zero marginal cost property of wind generation reduces both price levels and price dispersion and that these effects are heterogeneous by hour of day. Unforecast wind generation has over three times the effect on price levels as forecast wind, but hourly changes in wind generation have the same price effect as consistent wind generation. Finally, we find that the price effect from wind’s zero marginal cost property mirrors the price effect of a reduction of demand, but errors in wind forecasts have unique effects compared to errors in demand forecasts.Investment, Emissions, and Reliability in Electricity Markets
Abstract
This paper studies how to design electricity markets to reduce emissions and prevent blackouts. Zero-emission renewable energy sources, such as wind and solar, are intermittent, which can lead to blackouts if the addition of renewables causes more reliable power plants to retire. To quantify the impact of electricity market policies, I build a structural equilibrium model of investment and dis-investment in generators of different energy sources. Oligopolistic firms make dynamic decisions to build or retire generators based on the profits they receive from wholesale electricity markets, which respond to the composition of generators in the market. Using data from the electricity market in Western Australia, I estimate this model and use it to simulate investment and production under counterfactual policies. Carbon taxes reduce emissions but, for certain values, can result in an increase in the likelihood of blackouts by causing retirement of coal and gas plants. Subsidizing capacity prevents this from occurring, but at the expense of a higher level of emissions. Using both policies together, however, keeps reliable, emissions-intensive generators in the market but prevents them from being used unless necessary, substantially lowering emissions while keeping the likelihood of blackouts low. I also explore alternative environmental policies, which are less effective at reducing emissions but have a lower cost to consumers.Decarbonization and Electrification in the Long Run
Abstract
Decarbonization will require a completely transformed electricity grid. We analyze a long-run model that captures crucial aspects of the electricity industry such as time-varying demand for electricity, intermittency of renewables, optimal use of storage technologies, and entry and exit of generation and storage capacity. Long-run effects can differ in surprising ways from short-run intuition: An increase in electricity demand may lead to a decrease in emissions if it induces sufficient renewable entry; cheaper storage may lead to a decrease in renewable capacity by decreasing prices when renewables are operating; and a carbon tax can increase electricity consumption. Using hourly data for the U.S. market, we calibrate the model to evaluate decarbonization policies. A carbon price of $150 or more essentially eliminates carbon emissions. Given a modest decarbonization goal, a renewable subsidy performs better than a nuclear subsidy, but this ranking is reversed for an ambitious decarbonization goal. Policies promoting transmission or storage are unlikely to yield significant benefits unless paired with subsidies for renewables. Electrifying 100% of car miles traveled (thereby eliminating gasoline vehicle carbon emissions) would increase electricity-sector carbon emissions by 23-27% if vehicles are charged at night but could decrease electricity-sector carbon emissions if vehicles are charged during the day.Discussant(s)
Sarah Armitage
,
EDF and Boston University
Daniel T. Kaffine
,
University of Colorado Boulder
Gordon Leslie
,
Monash University
Mar Reguant
,
Northwestern University
JEL Classifications
- Q5 - Environmental Economics
- Q2 - Renewable Resources and Conservation