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Title: Impact of battery degradation on energy arbitrage revenue of grid-level energy storage

Journal Article · · Journal of Energy Storage
 [1];  [2];  [2];  [3]
  1. Karlsruhe Institute of Technology (Germany); Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

This study investigates the representation of battery degradation in grid level energy storage applications. In particular, we focus on energy arbitrage, as this is a potential future large-scale application of energy storage and there is limited existing research combining the modelling of battery degradation and energy storage arbitrage. We implement two different representations of battery degradation within an energy arbitrage model, and show that degradation has a strong impact on battery energy storage system (BESS) profitability. In a case study using historical electricity market prices from the MISO electricity market in the United States, we find that the achievable net present value (at an interest rate of 10%) for a battery system with a C-rate of 1C dropped from 358 /kWh in the case considering no degradation to 194-314 /kWh depending on the battery degradation model and assumptions for end of life (EOL) criteria. This corresponds to a reduction in revenue due to degradation in the 12-46% range.Furthermore, we find that reducing the cycling of the bat-tery via introducing a penalty cost in the objective function of the energy arbitrage optimization model can improve the profitability over the life of the BESS.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
Argonne National Laboratory, Laboratory Directed Research and Development (LDRD); USDOE
Grant/Contract Number:
AC02-06CH11357; DEAC02-06CH11357
OSTI ID:
1393934
Alternate ID(s):
OSTI ID: 1413046
Journal Information:
Journal of Energy Storage, Vol. 10, Issue C; ISSN 2352-152X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 67 works
Citation information provided by
Web of Science

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Managing Distributed Energy Resources (DERs) Through Virtual Power Plant Technology (VPP): A Stochastic Information-Gap Decision Theory (IGDT) Approach journal August 2019
Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids journal December 2017
Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study journal November 2019
Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage journal January 2020
Assessment of Battery Storage Technologies for a Turkish Power Network journal July 2019
The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement journal October 2019