Projects per year
Abstract
Battery energy storage systems (BESS) are receiving great attention due to their ability in maximizing self-consumption and energy arbitrage. However, in many countries, BESS profitability is still questionable without subsidy due to their high capital costs. This paper proposes an open-source generic tool to provide comprehensive techno-economic analysis on the small-scale PV/BESS. The proposed tool utilizes real-time BESS control method that has been validated using real experimental measurements in addition to integrating a reliable degradation model to determine the loss in savings due to capacity degradation. The profitability is investigated by conducting different cost-benefit analyses for the PV and BESS. An optimization layer is introduced to find the optimal PV/BESS sizes that boost investment profitability by maximizing the net present value. A detailed case study is presented for a household in the UK under three different tariff structures that consider practical parameters and assumptions. Furthermore, sensitivity analyses are performed to evaluate the impact of the cost-benefit analysis assumptions on the PV/BESS sizing and profitability. Finally, the BESS investment viability is investigated over the next few years for different investment expectations to answer the question of when the BESS should be installed to be a viable economic-attractive option in the UK.
Original language | English |
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Journal | IEEE Transactions on Energy Conversion |
Early online date | 24 Aug 2021 |
DOIs | |
Publication status | Early online date - 24 Aug 2021 |
Keywords
- Battery Energy Storage System
- PV
- EV
- Cost-Benefit Analysis
- Control algorithms
- profitability analysis
Fingerprint
Dive into the research topics of 'A Comprehensive Robust Techno-Economic Analysis and Sizing Tool for the Small-Scale PV and BESS'. Together they form a unique fingerprint.Projects
- 1 Active
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R6966ELE: SPIRE 2 - Storage Platform for the Integration of Renewable Energy
Liu, X. A. (PI), Best, R. (CoI), Foley, A. (CoI) & Morrow, D. J. (CoI)
09/06/2017 → …
Project: Research
Datasets
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One-Year Half-Hourly Profiles of Demand, Pv Generation, and Ev Charging for a Household in London, UK
Mohamed, A. (Creator), Institute of Electrical and Electronics Engineers Inc., 26 Aug 2021
DOI: 10.21227/8vhr-2572, https://ieee-dataport.org/documents/one-year-half-hourly-profiles-demand-pv-generation-and-ev-charging-household-london-uk
Dataset
Prizes
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EEECS Paper Award
Mohamed, Ahmed (Recipient) & Koohi Esfahani, Mohsen (Recipient), 2022
Prize: Prize (including medals and awards)
Student theses
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The integration of battery energy storage systems in modern distribution networks
Mohamed, A. A. R. (Author), Best, R. (Supervisor), Liu, X. (Supervisor) & Morrow, D. J. (Supervisor), Jul 2022Student thesis: Doctoral Thesis › Doctor of Philosophy
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