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Multi-Objective optimisation of a micro-grid hybrid power system for household application

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  • Jaszczur, Marek
  • Hassan, Qusay
  • Palej, Patryk
  • Abdulateef, Jasim

Abstract

This research study aimed to design and optimise hybrid renewable energy systems at two optimisation objectives. The economic and environmental optimisation objectives of four hybrid power system scenarios were tested based on a non-dominated sorting genetic algorithm. The selected optimisation objectives were used simultaneously and parallel to sensitivity analysis in order to determine optimum system configuration under specific criteria. The environmental objective targeted the reduction of CO2 emissions, which resulted in a system with high renewable energy fractions. The economic objective targeted the reduction of system cost (net percentage cost), which resulted in a system size that could meet desired electrical loads. The novelty of this work lay in determining the relationship between two different optimisation objectives i.e., environmental and economic. Result showed that the optimisation process under the economic objective recorded the lowest energy cost for all scenarios with and without storage units. By contrast, the optimisation process under the environmental objective demonstrated a higher system cost value compared with that in the case of the economic optimisation objective for all scenarios. The analysis also shows the CO2 emission with and without considering systems components manufacturing primary emissions.

Suggested Citation

  • Jaszczur, Marek & Hassan, Qusay & Palej, Patryk & Abdulateef, Jasim, 2020. "Multi-Objective optimisation of a micro-grid hybrid power system for household application," Energy, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308458
    DOI: 10.1016/j.energy.2020.117738
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    4. Maheri, Alireza & Unsal, Ibrahim & Mahian, Omid, 2022. "Multiobjective optimisation of hybrid wind-PV-battery-fuel cell-electrolyser-diesel systems: An integrated configuration-size formulation approach," Energy, Elsevier, vol. 241(C).
    5. Ceran, Bartosz & Mielcarek, Agata & Hassan, Qusay & Teneta, Janusz & Jaszczur, Marek, 2021. "Aging effects on modelling and operation of a photovoltaic system with hydrogen storage," Applied Energy, Elsevier, vol. 297(C).
    6. Akbas, Beste & Kocaman, Ayse Selin & Nock, Destenie & Trotter, Philipp A., 2022. "Rural electrification: An overview of optimization methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    7. Wang, Wenting & Yang, Dazhi & Huang, Nantian & Lyu, Chao & Zhang, Gang & Han, Xueying, 2022. "Irradiance-to-power conversion based on physical model chain: An application on the optimal configuration of multi-energy microgrid in cold climate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Jaszczur, Marek & Hassan, Qusay, 2020. "An optimisation and sizing of photovoltaic system with supercapacitor for improving self-consumption," Applied Energy, Elsevier, vol. 279(C).
    9. Robert Kaczmarczyk & Sebastian Gurgul, 2021. "A Thermodynamic Analysis of Heavy Hydrocarbons Reforming for Solid Oxide Fuel Cell Application as a Part of Hybrid Energy Systems," Energies, MDPI, vol. 14(2), pages 1-11, January.
    10. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Mikulik, Jerzy, 2021. "A hybrid method for scenario-based techno-economic-environmental analysis of off-grid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    11. Hassan, Qusay, 2021. "Evaluation and optimization of off-grid and on-grid photovoltaic power system for typical household electrification," Renewable Energy, Elsevier, vol. 164(C), pages 375-390.
    12. Jaszczur, Marek & Hassan, Qusay & Abdulateef, Ammar M. & Abdulateef, Jasim, 2021. "Assessing the temporal load resolution effect on the photovoltaic energy flows and self-consumption," Renewable Energy, Elsevier, vol. 169(C), pages 1077-1090.

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