IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7333-d1464317.html
   My bibliography  Save this article

A Multi-Objective Optimization Approach for Solar Farm Site Selection: Case Study in Maputo, Mozambique

Author

Listed:
  • Tomé Sicuaio

    (Department of Physical Geography and Ecosystem Science, Lund University, S-223 62 Lund, Sweden
    Department of Mathematics and Informatics, Faculty of Science, Eduardo Mondlane University, Maputo 257, Mozambique)

  • Pengxiang Zhao

    (Department of Physical Geography and Ecosystem Science, Lund University, S-223 62 Lund, Sweden)

  • Petter Pilesjö

    (Department of Physical Geography and Ecosystem Science, Lund University, S-223 62 Lund, Sweden)

  • Andrey Shindyapin

    (Department of Mathematics and Informatics, Faculty of Science, Eduardo Mondlane University, Maputo 257, Mozambique)

  • Ali Mansourian

    (Department of Physical Geography and Ecosystem Science, Lund University, S-223 62 Lund, Sweden)

Abstract

Solar energy is an important source of clean energy to combat climate change issues that motivate the establishment of solar farms. Establishing solar farms has been considered a proper alternative for energy production in countries like Mozambique, which need reliable and clean sources of energy for sustainable development. However, selecting proper sites for creating solar farms is a function of various economic, environmental, and technical criteria, which are usually conflicting with each other. This makes solar farm site selection a complex spatial problem that requires adapting proper techniques to solve it. In this study, we proposed a multi-objective optimization (MOO) approach for site selection of solar farms in Mozambique, by optimizing six objective functions using an improved NSGA-II (Non-dominated Sorting Genetic Algorithm II) algorithm. The MOO model is demonstrated by implementing a case study in KaMavota district, Maputo city, Mozambique. The improved NSGA-II algorithm displays a better performance in comparison to standard NSGA-II. The study also demonstrated how decision-makers can select optimum solutions, based on their preferences, despite trade-offs existing between all objective functions, which support the decision-making.

Suggested Citation

  • Tomé Sicuaio & Pengxiang Zhao & Petter Pilesjö & Andrey Shindyapin & Ali Mansourian, 2024. "A Multi-Objective Optimization Approach for Solar Farm Site Selection: Case Study in Maputo, Mozambique," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7333-:d:1464317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7333/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/17/7333/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klamroth, Kathrin & Lacour, Renaud & Vanderpooten, Daniel, 2015. "On the representation of the search region in multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 245(3), pages 767-778.
    2. Breen, M. & Upton, J. & Murphy, M.D., 2020. "Photovoltaic systems on dairy farms: Financial and renewable multi-objective optimization (FARMOO) analysis," Applied Energy, Elsevier, vol. 278(C).
    3. Stiglitz, Joseph E, 1981. "Pareto Optimality and Competition," Journal of Finance, American Finance Association, vol. 36(2), pages 235-251, May.
    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. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    2. de Miguel-Arribas, A. & Morón-Vidal, J. & Floría, L.M. & Gracia-Lázaro, C. & Hernández, L. & Moreno, Y., 2024. "Contests in two fronts," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    3. Satya Tamby & Daniel Vanderpooten, 2021. "Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems," INFORMS Journal on Computing, INFORMS, vol. 33(1), pages 72-85, January.
    4. Przybylski, Anthony & Gandibleux, Xavier, 2017. "Multi-objective branch and bound," European Journal of Operational Research, Elsevier, vol. 260(3), pages 856-872.
    5. Jung, Hail & Choi, Sanghak, 2021. "The effects of employee stock ownership on stock liquidity: Evidence from the Korean market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Guidi, Marco G.D. & Hillier, Joe & Tarbert, Heather, 2010. "Successfully reshaping the ownership relationship by reducing ‘moral debt’ and justly distributing residual claims: The cases from Scott Bader Commonwealth and the John Lewis Partnership," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 21(4), pages 318-328.
    7. Kerstin Dächert & Ria Grindel & Elisabeth Leoff & Jonas Mahnkopp & Florian Schirra & Jörg Wenzel, 2022. "Multicriteria asset allocation in practice," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 349-373, June.
    8. Pannee Suanpang & Pattanaphong Pothipassa & Kittisak Jermsittiparsert & Titiya Netwong, 2022. "Integration of Kouprey-Inspired Optimization Algorithms with Smart Energy Nodes for Sustainable Energy Management of Agricultural Orchards," Energies, MDPI, vol. 15(8), pages 1-18, April.
    9. Doğan, Ilgın & Lokman, Banu & Köksalan, Murat, 2022. "Representing the nondominated set in multi-objective mixed-integer programs," European Journal of Operational Research, Elsevier, vol. 296(3), pages 804-818.
    10. Sheha, Moataz & Mohammadi, Kasra & Powell, Kody, 2021. "Techno-economic analysis of the impact of dynamic electricity prices on solar penetration in a smart grid environment with distributed energy storage," Applied Energy, Elsevier, vol. 282(PA).
    11. Wang, Kai & Li, Tingting & San, Ziyao & Gao, Hao, 2023. "How does corporate ESG performance affect stock liquidity? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    12. Dukkanci, Okan & Karsu, Özlem & Kara, Bahar Y., 2022. "Planning sustainable routes: Economic, environmental and welfare concerns," European Journal of Operational Research, Elsevier, vol. 301(1), pages 110-123.
    13. Mesquita-Cunha, Mariana & Figueira, José Rui & Barbosa-Póvoa, Ana Paula, 2023. "New ϵ−constraint methods for multi-objective integer linear programming: A Pareto front representation approach," European Journal of Operational Research, Elsevier, vol. 306(1), pages 286-307.
    14. Sabin Bikram Panta & Devi Prasad Bedari, Ph.D., 2015. "Cost Efficiency of Nepali Commercial Banks in the Context of Regulatory Changes," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 27(2), pages 75-90, October.
    15. Gabriele Eichfelder & Peter Kirst & Laura Meng & Oliver Stein, 2021. "A general branch-and-bound framework for continuous global multiobjective optimization," Journal of Global Optimization, Springer, vol. 80(1), pages 195-227, May.
    16. Gabriele Eichfelder & Leo Warnow, 2022. "An approximation algorithm for multi-objective optimization problems using a box-coverage," Journal of Global Optimization, Springer, vol. 83(2), pages 329-357, June.
    17. Burdett, Robert & Kozan, Erhan, 2016. "A multi-criteria approach for hospital capacity analysis," European Journal of Operational Research, Elsevier, vol. 255(2), pages 505-521.
    18. Badamvaanchig, Mungunzul & Islam, Moinul & Kakinaka, Makoto, 2021. "Pass-through of commodity price to Mongolian stock price: Symmetric or asymmetric?," Resources Policy, Elsevier, vol. 70(C).
    19. Mohammed Chakib Sekkal & Zakarya Ziani & Moustafa Yassine Mahdad & Sidi Mohammed Meliani & Mohammed Haris Baghli & Mohammed Zakaria Bessenouci, 2024. "Assessing the Wind Power Potential in Naama, Algeria to Complement Solar Energy through Integrated Modeling of the Wind Resource and Turbine Wind Performance," Energies, MDPI, vol. 17(4), pages 1-34, February.
    20. Moritz Link & Stefan Volkwein, 2023. "Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs," Journal of Global Optimization, Springer, vol. 87(1), pages 97-132, September.

    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:16:y:2024:i:17:p:7333-:d:1464317. 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.