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AHP and fuzzy assessment based sustainability indicator for hybrid renewable energy system

G. Liu, M.G. Rasul, Amanullah Maung Than Oo, M.M.K. Khan

Open publisher page 8 citations

Abstract

Multiple non-traditional resources based energy system is used against a range of energy risks and environmental issues. The present study aims to develop a sustainability indicator for evaluating the sustainability of hybrid renewable energy (HRE) system. The indicator will reflect the Triple Bottom Lines (TBL) based definition of sustainability, including the meanings of environmental, economic and social aspects. A number of indicator databases are quantified and aggregated into a sustainability indicator by fuzzy assessment and analytical hierarchy process (AHP). A case of optimized PV-wind power systems in Australia is presented to explain the application of the developed indicator. The numerical result is compared between the four different configurations of the HRE system.

About this research paper

What this paper is about

Multiple non-traditional resources based energy system is used against a range of energy risks and environmental issues. The present study aims to develop a sustainability indicator for evaluating the sustainability of hybrid renewable energy (HRE) system. The indicator will reflect the Triple Bottom Lines (TBL) based definition of sustainability, including the meanings of environmental, economic and social aspects. A number of indicator databases are quantified and aggregated into a sustainability indicator by fuzzy assessment and analytical hierarchy process (AHP). A case of optimized PV-wind power systems in Australia is presented to explain the application of the developed indicator. The numerical result is compared between the four different configurations of the HRE system.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Multiple non-traditional resources based energy system is used against a range of energy risks and environmental issues. The present study aims to develop a sustainability indicator for evaluating the sustainability of hybrid renewable energy (HRE) system. The indicator will reflect the Triple Bottom Lines (TBL) based definition of sustainability, including the meanings of environmental, economic and social aspects. A number of indicator databases are quantified and aggregated into a sustainability indicator by fuzzy assessment and analytical hierarchy process (AHP). A case of optimized PV-wind power systems in Australia is presented to explain the application of the developed indicator. The numerical result is compared between the four different configurations of the HRE system.

Key concepts: Sustainability, Analytic hierarchy process, Renewable energy, Environmental economics, Fuzzy logic, Computer science, Process (computing), Hierarchy

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