Optimal Generation and Trading in Solar Renewable Energy Certificate (SREC) Markets. Issue 1 (3rd March 2020)

• Record Type: Journal Article
• Authors: Shrivats, Arvind; Jaimungal, Sebastian
• Is Part Of: Applied mathematical finance. Volume 27:Issue 1/2(2020)
• Page Start: 99
• Page End: 131
• Publication Date: 2020-03-03
• Subjects: Commodity markets -- stochastic control -- SREC -- cap and trade -- market design; Business mathematics -- Periodicals; 650.0151
• DOI: 10.1080/1350486X.2020.1754260
• Languages: English
• ISSNs: 1350-486X

Abstract

ABSTRACT: SREC markets are a relatively novel market-based system to incentivize the production of energy from solar means. A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period and provides them with certificates for each generated MWh. Firms offset these certificates against the floor and pay a penalty for any lacking certificates. Certificates are tradable assets, allowing firms to purchase/sell them freely. In this work, we formulate a stochastic control problem for generating and trading in SREC markets from a regulated firm's perspective. We account for generation and trading costs, the impact both have on SREC prices, provide a characterization of the optimal strategy and develop a numerical algorithm to solve this control problem. Through numerical experiments, we explore how a firm who acts optimally behaves under various conditions. We find that an optimal firm's generation and trading behaviour can be separated into various regimes, based on the marginal benefit of obtaining an additional SREC, and validate our theoretical characterization of the optimal strategy. We also conduct parameter sensitivity experiments.