Multi-Objective Optimization for Ranking Waste Biomass Materials Based on Performance and Emission Parameters in a Pyrolysis Process -An Ahp-Topsis Approach

Howari, Haidar; Parvez, Mohd; Khan, Osama; Alhodaib, Aiyeshah; Mallah, Abdulrahman; Yahya, Zeinebou

doi:10.2139/ssrn.4340493

2023

DOI: 10.2139/ssrn.4340493

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Multi-Objective Optimization for Ranking Waste Biomass Materials Based on Performance and Emission Parameters in a Pyrolysis Process -An Ahp-Topsis Approach

Haidar Howari

Mohd Parvez

Osama Khan

et al.

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Improving the Selection of PV Modules and Batteries for Off-Grid PV Installations Using a Decision Support System

Serrano-Gomez,

Gil-García,

García-Cascales

et al. 2024

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In the context of isolated photovoltaic (PV) installations, selecting the optimal combination of modules and batteries is crucial for ensuring efficient and reliable energy supply. This paper presents a Decision Support System (DSS) designed to aid in the selection process of the development of new PV isolated installations. Two different multi-criteria decision-making (MCDM) approaches are employed and compared: AHP (Analytic Hierarchy Process) combined with TOPSIS (technique for order of preference by similarity to ideal solution) and Entropy combined with TOPSIS. AHP and Entropy are used to weight the technical and economic criteria considered, and TOPSIS ranks the alternatives. A comparative analysis of the AHP + TOPSIS and Entropy + TOPSIS methods was conducted to determine their effectiveness and applicability in real-world scenarios. The results show that AHP and Entropy produce contrasting criteria weights, yet TOPSIS converges on similar top-ranked alternatives using either set of weights, with the combination of lithium-ion batteries with the copper indium gallium selenide PV module as optimal. AHP allows for the incorporation of expert subjectivity, prioritising costs and an energy yield intuitive to PV projects. Entropy’s objectivity elevates criteria with limited data variability, potentially misrepresenting their true significance. Despite these discrepancies, this study highlights the practical implications of using structured decision support methodologies in optimising renewable energy systems. Even though the proposed methodology is applied to a PV isolated system, it can effectively support decision making for optimising other stand-alone or grid-connected installations, contributing to the advancement of sustainable energy solutions.

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Improving the Selection of PV Modules and Batteries for Off-Grid PV Installations Using a Decision Support System

Serrano-Gomez,

Gil-García,

García-Cascales

et al. 2024

Information

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show abstract

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Multi-Objective Optimization for Ranking Waste Biomass Materials Based on Performance and Emission Parameters in a Pyrolysis Process -An Ahp-Topsis Approach

Cited by 1 publication

References 0 publications

Improving the Selection of PV Modules and Batteries for Off-Grid PV Installations Using a Decision Support System

Improving the Selection of PV Modules and Batteries for Off-Grid PV Installations Using a Decision Support System

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