An economic analysis of residential photovoltaic systems with lithium ion battery storage in the United States. (October 2018)

• Record Type: Journal Article
• Authors: Tervo, Eric; Agbim, Kenechi; DeAngelis, Freddy; Hernandez, Jeffrey; Kim, Hye Kyung; Odukomaiya, Adewale
• Is Part Of: Renewable & sustainable energy reviews. Volume 94(2018)
• Page Start: 1057
• Page End: 1066
• Publication Date: 2018-10
• Subjects: PV -- Lithium ion battery -- LCOE; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2018.06.055
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Residential photovoltaic systems can reduce reliance on grid electricity, which may be desirable for numerous reasons. However, the economic viability of such systems is dependent on effective use of excess electricity generation, most often through net or bi-directional metering. With recent cost reductions in residential-scale lithium ion battery storage systems, these may be a practical alternative. In this work, we model the lifetime performance and economics of residential photovoltaics with lithium ion batteries across all 50 states in the U.S. We investigate in detail how photovoltaic size and battery capacity affect performance and cost metrics in California, Georgia, and Massachusetts. We find that with appropriate sizing, photovoltaic-battery systems can be more affordable than photovoltaics alone. We demonstrate that these systems may be competitive with grid prices when the federal investment tax credit and favorable financing terms are used, and we calculate the sell-back price required for bi-directional metering to reach cost parity with photovoltaic-battery systems in every state. Highlights: Lithium ion batteries with residential PV may be more affordable than PV alone. With incentives and appropriate sizing, PV-battery systems compete with grid prices. Bi-directional metering sell-back prices are calculated for parity with batteries. System LCOE is most sensitive to incentives applied in first year.