Lai, CS orcid.org/0000-0002-4169-4438 and McCulloch, MD (2017) Sizing of Stand-Alone Solar PV and Storage System With Anaerobic Digestion Biogas Power Plants. IEEE Transactions on Industrial Electronics, 64 (3). pp. 2112-2121. ISSN 0278-0046
Abstract
This paper presents a deterministic approach for sizing a solar photovoltaic (PV) and energy storage system (ESS) with anaerobic digestion (AD) biogas power plant (BPP) to meet a proportional scaled-down demand of the national load in Kenya, Africa. The aim is to achieve a minimal levelized cost of energy (LCOE) for the system while minimizing the energy imbalance between generation and demand due to AD generator constraint and solar resource. This system also aims to maximize the sizing of PV as to follow the future trend of high penetration of PV. LCOE for the system and a levelized cost of delivery (LCOD) are calculated for the hybrid energy system with the presence of energy storage. Four years of solar data collected from Johannesburg, Africa, are used for system sizing purposes. An in-depth study of the optimization problem has been given and particle swarm optimization with the interior point method is chosen for solar panel sizing. The optimal sizing ratio for the generation sources AD and PV is 2.4:5. The results show that the hybrid system will be cost effective compared to the AD-only system when the discount rate drops below 8% with the current technology costs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Anaerobic digestion (AD); levelized cost of energy (LCOE); microgrid; optimal sizing; particle swarm optimization; photovoltaic (PV) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jul 2018 11:38 |
Last Modified: | 30 Jul 2018 11:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1109/TIE.2016.2625781 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133921 |