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Multi-Objective Decision-Making for an Island Microgrid in the Gulf of Maine

Author

Listed:
  • Roozbeh Ghasemi

    (Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA)

  • Martin Wosnik

    (Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA
    Center for Ocean Engineering, University of New Hampshire, Durham, NH 03824, USA
    Atlantic Marine Energy Center (AMEC), University of New Hampshire, Durham, NH 03824, USA)

  • Diane L. Foster

    (Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA
    Marine School, University of New Hampshire, Durham, NH 03824, USA)

  • Weiwei Mo

    (Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA)

Abstract

Microgrid implementation often lacks economic and environmental efficiencies due to sub-optimal configuration and operation. The current study aims to explore the optimal configuration and operational strategies for a microgrid system with maximum life cycle economic and environmental co-benefits. This study was inspired by a real microgrid optimization need for Shoals Marine Laboratory, a seasonal marine teaching and research field station on Appledore Island, Maine. A system dynamic model was developed to simulate the microgrid operation, and a multi-criteria analysis was performed based on diesel electricity generation, equivalent annual costs, and carbon footprint under various system sizing and operation scenarios. This study found that an effective battery capacity of 120–165 kWh (400–550 kWh actual with 30% depth of discharge) and a solar capacity of 85–105 kW can effectively minimize all three objectives under an average daily demand of 265 kWh during the study period. Additionally, implementing an alternative system operation strategy can lead to a 12% reduction in diesel electricity generation.

Suggested Citation

  • Roozbeh Ghasemi & Martin Wosnik & Diane L. Foster & Weiwei Mo, 2023. "Multi-Objective Decision-Making for an Island Microgrid in the Gulf of Maine," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13900-:d:1242853
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    References listed on IDEAS

    as
    1. Bustos, Cristian & Watts, David, 2017. "Novel methodology for microgrids in isolated communities: Electricity cost-coverage trade-off with 3-stage technology mix, dispatch & configuration optimizations," Applied Energy, Elsevier, vol. 195(C), pages 204-221.
    2. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    3. Eva González-Romera & Mercedes Ruiz-Cortés & María-Isabel Milanés-Montero & Fermín Barrero-González & Enrique Romero-Cadaval & Rui Amaral Lopes & João Martins, 2019. "Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids," Energies, MDPI, vol. 12(4), pages 1-18, February.
    4. Verity Tan & Pablo R. Dias & Nathan Chang & Rong Deng, 2022. "Estimating the Lifetime of Solar Photovoltaic Modules in Australia," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    5. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.
    6. Moradi, Hadis & Esfahanian, Mahdi & Abtahi, Amir & Zilouchian, Ali, 2018. "Optimization and energy management of a standalone hybrid microgrid in the presence of battery storage system," Energy, Elsevier, vol. 147(C), pages 226-238.
    7. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
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