IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13900-d1242853.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13900/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13900/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hirwa, Jusse & Zolan, Alexander & Becker, William & Flamand, Tülay & Newman, Alexandra, 2023. "Optimizing design and dispatch of a resilient renewable energy microgrid for a South African hospital," Applied Energy, Elsevier, vol. 348(C).
    2. Danny Espín-Sarzosa & Rodrigo Palma-Behnke & Oscar Núñez-Mata, 2020. "Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures," Energies, MDPI, vol. 13(3), pages 1-32, January.
    3. Fei Wang & Lidong Zhou & Hui Ren & Xiaoli Liu, 2017. "Search Improvement Process-Chaotic Optimization-Particle Swarm Optimization-Elite Retention Strategy and Improved Combined Cooling-Heating-Power Strategy Based Two-Time Scale Multi-Objective Optimizat," Energies, MDPI, vol. 10(12), pages 1-23, November.
    4. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    5. Soheil Mohseni & Alan C. Brent, 2022. "A Metaheuristic-Based Micro-Grid Sizing Model with Integrated Arbitrage-Aware Multi-Day Battery Dispatching," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    6. Ghazi Falah & Michael Hoy & Rakhal Sarker, 2000. "Co-existence in Selected Mixed Arab-Jewish Cities in Israel: By Choice or by Default?," Urban Studies, Urban Studies Journal Limited, vol. 37(4), pages 775-796, April.
    7. Cowell, Frank & Flachaire, Emmanuel & Bandyopadhyay, Sanghamitra, 2009. "Goodness-of-fit: an economic approach," LSE Research Online Documents on Economics 25433, London School of Economics and Political Science, LSE Library.
    8. Wei Wang & Leonid Melnyk & Oleksandra Kubatko & Bohdan Kovalov & Luc Hens, 2023. "Economic and Technological Efficiency of Renewable Energy Technologies Implementation," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    9. Li, Jiarong & Li, Xiangdong & Wang, Yong & Tu, Jiyuan, 2020. "A theoretical model of natural circulation flow and heat transfer within horizontal evacuated tube considering the secondary flow," Renewable Energy, Elsevier, vol. 147(P1), pages 630-638.
    10. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    11. Michail Serris & Paraskevi Petrou & Isidoros Iakovidis & Sotiria Dimitrellou, 2023. "Techno-Economic and Environmental Evaluation of a Solar Energy System on a Ro-Ro Vessel for Sustainability," Energies, MDPI, vol. 16(18), pages 1-20, September.
    12. Ceran, Bartosz, 2019. "The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer," Energy, Elsevier, vol. 167(C), pages 853-865.
    13. Nguyen, Hai Tra & Safder, Usman & Nhu Nguyen, X.Q. & Yoo, ChangKyoo, 2020. "Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant," Energy, Elsevier, vol. 191(C).
    14. Burkey, Mark L. & Obeng, Kofi, 2005. "Crash Risk Reduction at Signalized Intersections Using Longitudinal Data," MPRA Paper 36281, University Library of Munich, Germany.
    15. Konečná, Eva & Teng, Sin Yong & Máša, Vítězslav, 2020. "New insights into the potential of the gas microturbine in microgrids and industrial applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    16. Daniel Griffith & David Wong, 2007. "Modeling population density across major US cities: a polycentric spatial regression approach," Journal of Geographical Systems, Springer, vol. 9(1), pages 53-75, April.
    17. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    18. Talaat, M. & Farahat, M.A. & Elkholy, M.H., 2019. "Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies," Energy, Elsevier, vol. 170(C), pages 668-682.
    19. Laws, Nicholas D. & Anderson, Kate & DiOrio, Nicholas A. & Li, Xiangkun & McLaren, Joyce, 2018. "Impacts of valuing resilience on cost-optimal PV and storage systems for commercial buildings," Renewable Energy, Elsevier, vol. 127(C), pages 896-909.
    20. Good, Nicholas & Martínez Ceseña, Eduardo A. & Zhang, Lingxi & Mancarella, Pierluigi, 2016. "Techno-economic and business case assessment of low carbon technologies in distributed multi-energy systems," Applied Energy, Elsevier, vol. 167(C), pages 158-172.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13900-:d:1242853. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.