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Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm

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  • Mayer, Martin János
  • Szilágyi, Artúr
  • Gróf, Gyula

Abstract

The rapid spread of renewables made it essential to design optimal hybrid renewable energy systems (HRES) with the distinctive economic and environmental impacts of each technology in mind. According to a comprehensive literature review, very few studies consider life-cycle environmental impacts in small-scale hybrid renewable energy system optimization. This paper aims to fill this gap by providing a multi-objective design framework for household-scale systems based on the technical modeling of several typical components. Solar photovoltaic, wind turbine, solar heat collector, heat pump, heat storage, battery, and as a novelty, heat insulation thickness are considered. Backup power is either drawn from the grid or produced by a diesel generator in grid-connected and off-grid scenarios, respectively.

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  • Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:appene:v:269:y:2020:i:c:s0306261920305705
    DOI: 10.1016/j.apenergy.2020.115058
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    1. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    2. Rawshan Ali & Alban Kuriqi & Shadan Abubaker & Ozgur Kisi, 2019. "Hydrologic Alteration at the Upper and Middle Part of the Yangtze River, China: Towards Sustainable Water Resource Management Under Increasing Water Exploitation," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    3. Messagie, Maarten & Mertens, Jan & Oliveira, Luis & Rangaraju, Surendraprabu & Sanfelix, Javier & Coosemans, Thierry & Van Mierlo, Joeri & Macharis, Cathy, 2014. "The hourly life cycle carbon footprint of electricity generation in Belgium, bringing a temporal resolution in life cycle assessment," Applied Energy, Elsevier, vol. 134(C), pages 469-476.
    4. Kaabeche, A. & Belhamel, M. & Ibtiouen, R., 2011. "Sizing optimization of grid-independent hybrid photovoltaic/wind power generation system," Energy, Elsevier, vol. 36(2), pages 1214-1222.
    5. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    6. V. Masson & Colette Marchadier & Luc Adolphe & Rahim Aguejdad & P. Avner & Marc Bonhomme & Geneviève Bretagne & X. Briottet & B. Bueno & Cécile de Munck & O. Doukari & Stéphane Hallegatte & Julia Hida, 2014. "Adapting cities to climate change: A systemic modelling approach," Post-Print hal-01136215, HAL.
    7. Clarke, Daniel P. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2015. "Multi-objective optimisation of renewable hybrid energy systems with desalination," Energy, Elsevier, vol. 88(C), pages 457-468.
    8. Arvesen, Anders & Hertwich, Edgar G., 2012. "Assessing the life cycle environmental impacts of wind power: A review of present knowledge and research needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5994-6006.
    9. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    10. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    11. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    12. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    13. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," Applied Energy, Elsevier, vol. 212(C), pages 1611-1626.
    14. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," Applied Energy, Elsevier, vol. 212(C), pages 1611-1626.
    15. Abedi, S. & Alimardani, A. & Gharehpetian, G.B. & Riahy, G.H. & Hosseinian, S.H., 2012. "A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1577-1587.
    16. Abdullah, M.A. & Muttaqi, K.M. & Agalgaonkar, A.P., 2015. "Sustainable energy system design with distributed renewable resources considering economic, environmental and uncertainty aspects," Renewable Energy, Elsevier, vol. 78(C), pages 165-172.
    17. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    18. Bernal-Agustín, José L. & Dufo-López, Rodolfo & Rivas-Ascaso, David M., 2006. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 31(14), pages 2227-2244.
    19. Pehnt, Martin & Oeser, Michael & Swider, Derk J., 2008. "Consequential environmental system analysis of expected offshore wind electricity production in Germany," Energy, Elsevier, vol. 33(5), pages 747-759.
    20. Hay, John E., 1993. "Calculating solar radiation for inclined surfaces: Practical approaches," Renewable Energy, Elsevier, vol. 3(4), pages 373-380.
    21. Perez-Gallardo, J.R. & Azzaro-Pantel, C. & Astier, S. & Domenech, S. & Aguilar-Lasserre, A., 2014. "Ecodesign of photovoltaic grid-connected systems," Renewable Energy, Elsevier, vol. 64(C), pages 82-97.
    22. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    23. Thomas Huld & Ana M. Gracia Amillo, 2015. "Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum," Energies, MDPI, vol. 8(6), pages 1-23, June.
    24. Eriksson, E.L.V. & Gray, E.MacA., 2019. "Optimization of renewable hybrid energy systems – A multi-objective approach," Renewable Energy, Elsevier, vol. 133(C), pages 971-999.
    25. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
    26. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    27. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.
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