TY - JOUR
T1 - Optimal storage for solar energy self-sufficiency
AU - Carlsson, Anders E.
AU - Redner, S.
N1 - Funding Information:
This work was partly supported by the National Science Foundation, Grants DMR-1910736 and EF-2133863 to SR. We gratefully acknowledge support from Washington University’s International Center for Energy, Environment, and Sustainability (INCEES).
Publisher Copyright:
Copyright © 2023 Carlsson and Redner.
PY - 2023
Y1 - 2023
N2 - We determine the energy storage needed to achieve self sufficiency to a given reliability as a function of excess capacity in a combined solar-energy generation and storage system. Based on 40 years of solar-energy data for the St. Louis region, we formulate a statistical model that we use to generate synthetic insolation data over millions of years. We use these data to monitor the energy depletion in the storage system near the winter solstice. From this information, we develop explicit formulas for the required storage and the nature of cost-optimized system configurations as a function of reliability and the excess generation capacity. Minimizing the cost of the combined generation and storage system gives the optimal mix of these two constituents. For an annual failure rate of less than 3%, it is sufficient to have a solar generation capacity that slightly exceeds the daily electrical load at the winter solstice, together with a few days of storage.
AB - We determine the energy storage needed to achieve self sufficiency to a given reliability as a function of excess capacity in a combined solar-energy generation and storage system. Based on 40 years of solar-energy data for the St. Louis region, we formulate a statistical model that we use to generate synthetic insolation data over millions of years. We use these data to monitor the energy depletion in the storage system near the winter solstice. From this information, we develop explicit formulas for the required storage and the nature of cost-optimized system configurations as a function of reliability and the excess generation capacity. Minimizing the cost of the combined generation and storage system gives the optimal mix of these two constituents. For an annual failure rate of less than 3%, it is sufficient to have a solar generation capacity that slightly exceeds the daily electrical load at the winter solstice, together with a few days of storage.
KW - energy storage
KW - energy storage (batteries)
KW - failure analysis
KW - optimization methods
KW - power system reliability
KW - solar power generation
KW - stochastic processes
UR - http://www.scopus.com/inward/record.url?scp=85149411206&partnerID=8YFLogxK
U2 - 10.3389/fenrg.2023.1098418
DO - 10.3389/fenrg.2023.1098418
M3 - Article
AN - SCOPUS:85149411206
SN - 2296-598X
VL - 11
JO - Frontiers in Energy Research
JF - Frontiers in Energy Research
M1 - 1098418
ER -