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Environmental Life Cycle Assessment of Grid-Integrated Hybrid Renewable Energy Systems in Northern Nigeria

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  • Ismail Abubakar Jumare

    (Mechanical Engineering Department, Faculty of Technology, University of Tlemcen, B.P. 119 | Pôle Chetouane, Tlemcen 13000, Algeria
    Pan African University Institute of Water and Energy Sciences—PAUWES, c/o University of Tlemcen, B.P. 119 | Pôle Chetouane, Tlemcen 13000, Algeria)

  • Ramchandra Bhandari

    (Institute for Technology and Resources Management in the Tropics and Subtropics, TH Köln-University of Applied Sciences, Betzdorfer Strasse 2, 50679 Cologne, Germany)

  • Abdellatif Zerga

    (Pan African University Institute of Water and Energy Sciences—PAUWES, c/o University of Tlemcen, B.P. 119 | Pôle Chetouane, Tlemcen 13000, Algeria)

Abstract

Life cycle assessment is a crucial tool in evaluating systems performances for sustainability and decision-making. This paper provided environmental impact of integrating renewable energy systems to the utility-grid based on a baseline optimized energy production data from “HOMER” for renewable systems modelling of a site in northern Nigeria. The ultimate goal was to ascertain the best hybrid option(s) in sustaining the environment. Different assumptions and scenarios were modelled and simulated using Ganzleitlichen Bilanz (GaBi). Uncertainty analysis was ensured to the impact data based on pedigree-matrix and Excel-program, as well as overall policy relevance. The results of the impact categories revealed first scenario (i.e., conventional path-based) with the highest impacts on global warming potential (GWP), acidification potential (AP), human toxicity potential (HTP), and abiotic depletion potential (ADP fossils ). The lowest impacts arise in the renewable-based scenarios for all the considered categories except the Ozone-layer depletion potential Category where the highest contribution falls in the third scenario (i.e., photovoltaic (PV)/biomass-biogas system) although all values being infinitesimal. In quantitative terms, the reduction in the GWP from the highest being the first scenario to the lowest being the fourth scenario (i.e., wind/biomass-biogas system) was 96.5%. Hence, with the outstanding contributions of the hybrid renewable systems, adopting them especially the lowest impact scenarios with expansions is relevant for environmental sustainability.

Suggested Citation

  • Ismail Abubakar Jumare & Ramchandra Bhandari & Abdellatif Zerga, 2019. "Environmental Life Cycle Assessment of Grid-Integrated Hybrid Renewable Energy Systems in Northern Nigeria," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5889-:d:279524
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    References listed on IDEAS

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    1. Jones, Christopher & Gilbert, Paul & Raugei, Marco & Mander, Sarah & Leccisi, Enrica, 2017. "An approach to prospective consequential life cycle assessment and net energy analysis of distributed electricity generation," Energy Policy, Elsevier, vol. 100(C), pages 350-358.
    2. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Alao, M.A., 2017. "Life cycle assessment of waste-to-energy (WtE) technologies for electricity generation using municipal solid waste in Nigeria," Applied Energy, Elsevier, vol. 201(C), pages 200-218.
    3. Wang, Jiangjiang & Yang, Ying & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Life cycle assessment (LCA) optimization of solar-assisted hybrid CCHP system," Applied Energy, Elsevier, vol. 146(C), pages 38-52.
    4. Ristimäki, Miro & Säynäjoki, Antti & Heinonen, Jukka & Junnila, Seppo, 2013. "Combining life cycle costing and life cycle assessment for an analysis of a new residential district energy system design," Energy, Elsevier, vol. 63(C), pages 168-179.
    5. Petrillo, Antonella & De Felice, Fabio & Jannelli, Elio & Autorino, Claudio & Minutillo, Mariagiovanna & Lavadera, Antonio Lubrano, 2016. "Life cycle assessment (LCA) and life cycle cost (LCC) analysis model for a stand-alone hybrid renewable energy system," Renewable Energy, Elsevier, vol. 95(C), pages 337-355.
    6. Atilgan, Burcin & Azapagic, Adisa, 2016. "Renewable electricity in Turkey: Life cycle environmental impacts," Renewable Energy, Elsevier, vol. 89(C), pages 649-657.
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    Cited by:

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    2. Kelvin Nkalo Ukoima & Abdulhameed Babatunde Owolabi & Abdulfatai Olatunji Yakub & Noel Ngando Same & Dongjun Suh & Jeung-Soo Huh, 2023. "Analysis of a Solar Hybrid Electricity Generation System for a Rural Community in River State, Nigeria," Energies, MDPI, vol. 16(8), pages 1-16, April.
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