Template-Type: ReDIF-Paper 1.0
Author-Name: Laura M. Andersen
Author-Name-First: Laura M.
Author-Name-Last: Andersen
Author-Email: lm@ifro.ku.dk
Author-Workplace-Name: Department of Food and Resource Economics, University of Copenhagen
Author-Name: Lars Gårn Hansen
Author-Name-First: Lars Gårn
Author-Name-Last: Hansen
Author-Email: lgh@ifro.ku.dk
Author-Workplace-Name: Department of Food and Resource Economics, University of Copenhagen
Author-Name: Carsten Lynge Jensen
Author-Name-First: Carsten Lynge
Author-Name-Last: Jensen
Author-Email: clj@ifro.ku.dk
Author-Workplace-Name: Department of Food and Resource Economics, University of Copenhagen
Author-Name: Frank A. Wolak
Author-Name-First: Frank A.
Author-Name-Last: Wolak
Author-Email: wolak@zia.stanford.edu
Author-Workplace-Name: Stanford University, Program on Energy and Sustainable Development and Department of Economics
Title: Can Incentives to Increase Electricity Use Reduce the Cost of Integrating Renewable Resources?
Abstract: We report results from a large field experiment that with a few hours prior notice provided Danish residential consumers with dynamic price and environmental signals aimed at causing them to shift their consumption either into or away from certain hours of the day. The same marginal price signal is found to cause substantially larger consumption shifts into target hours compared to consumption shifts away from target hours. Consumption is also reduced in the hours of the day before and after these into target hours and there is weaker evidence of increased consumption in the hours surrounding away target hours. The same into versus away results hold for the environmental signals, although the absolute size of the effects are smaller. Using detailed household-level demographic information for all customers invited to participate in the experiment, both models are re-estimated accounting for this decision. For both the price and environmental treatments, the same qualitative results are obtained, but with uniformly smaller quantitative magnitudes. These selection-corrected estimates are used to perform a counterfactual experiment where all of the retailer’s residential customers are assumed to face these dynamic price signals. We find substantial wholesale energy cost savings for the retailer from declaring into events designed to shift consumption from high demand periods to low demand periods within the day, which suggests that such a pricing strategy could significantly reduce the cost of increasing the share of greenhouse gas free wind and solar electricity production in an electricity supply industry.
Length: 58 pages
Creation-Date: 2019-02
File-URL: http://okonomi.foi.dk/workingpapers/WPpdf/WP2019/IFRO_WP_2019_02.pdf
File-Format: Application/pdf
Number: 2019/02
Classification-JEL: C93, L51, L94, Q41
Keywords: Dynamic electricity pricing, Energy demand, Randomized field experiments
Handle: RePEc:foi:wpaper:2019_02