Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS

In response to Malaysia's commitment to sustainable energy, a decisive decision for renewable energy planning investment remains crucial. Currently, a dedicated tool for assessing the benefits of renewable energy deployment in Malaysia is absent, posing challenges for stakeholders, especially p...

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Published in:Renewable Energy Focus
Main Author: Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
Format: Article
Language:English
Published: Elsevier Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185394314&doi=10.1016%2fj.ref.2024.100551&partnerID=40&md5=121b29f6f1be0ae261421b3602e5f42d
id 2-s2.0-85185394314
spelling 2-s2.0-85185394314
Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
2024
Renewable Energy Focus
49

10.1016/j.ref.2024.100551
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185394314&doi=10.1016%2fj.ref.2024.100551&partnerID=40&md5=121b29f6f1be0ae261421b3602e5f42d
In response to Malaysia's commitment to sustainable energy, a decisive decision for renewable energy planning investment remains crucial. Currently, a dedicated tool for assessing the benefits of renewable energy deployment in Malaysia is absent, posing challenges for stakeholders, especially prosumers, in making project investment decisions. This study introduces the development of Multi-Benefits Decision-Making (MBDM) index for solar photovoltaic (PV) investment planning. The aim is to select the most optimal renewable energy compensation schemes under multiple tariff structures and solar PV capacities. The proposed CRITIC weight, integrated with the Technique-for-Order-of-Preference-by-Similarity-to-the-Ideal-Solution (TOPSIS), or to be named as CW-TOPSIS framework, is practically demonstrated through a case study involving a commercial building with a solar PV rooftop. The Hybrid Optimization of Multiple Energy Resources (HOMER) grid software is used to develop a grid-connected solar PV model. Subsequently, a decision matrix is created using HOMER grid optimization results, incorporating indicators like environmental factors, energy usage, tariffs and policies, and economic aspects. A comparative study with Entropy-TOPSIS (EW-TOPSIS), CRITIC-Elimination and Choice Expressing Reality (CW-ELECTRE), and Entropy-ELECTRE (EW-ELECTRE) is conducted to validate the proposed technique's performance. The consistent findings from the comparative study validate the outstanding performance of Net-Energy-Metering 2.0 with Enhanced-Time-of-Use (N2ET). N2ET excels due to its efficient integration of solar PV NEM and dynamic ETOU pricing, amplifying surplus energy trading and benefiting users with improved financial metrics and bill savings. This research envisions guiding stakeholders in solar PV investments and enhancing project feasibility assessments in Malaysia's commercial sector. © 2024 Elsevier Ltd
Elsevier Ltd
17550084
English
Article

author Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
spellingShingle Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
author_facet Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
author_sort Ilham N.I.; Dahlan N.Y.; Hussin M.Z.
title Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
title_short Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
title_full Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
title_fullStr Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
title_full_unstemmed Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
title_sort Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
publishDate 2024
container_title Renewable Energy Focus
container_volume 49
container_issue
doi_str_mv 10.1016/j.ref.2024.100551
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185394314&doi=10.1016%2fj.ref.2024.100551&partnerID=40&md5=121b29f6f1be0ae261421b3602e5f42d
description In response to Malaysia's commitment to sustainable energy, a decisive decision for renewable energy planning investment remains crucial. Currently, a dedicated tool for assessing the benefits of renewable energy deployment in Malaysia is absent, posing challenges for stakeholders, especially prosumers, in making project investment decisions. This study introduces the development of Multi-Benefits Decision-Making (MBDM) index for solar photovoltaic (PV) investment planning. The aim is to select the most optimal renewable energy compensation schemes under multiple tariff structures and solar PV capacities. The proposed CRITIC weight, integrated with the Technique-for-Order-of-Preference-by-Similarity-to-the-Ideal-Solution (TOPSIS), or to be named as CW-TOPSIS framework, is practically demonstrated through a case study involving a commercial building with a solar PV rooftop. The Hybrid Optimization of Multiple Energy Resources (HOMER) grid software is used to develop a grid-connected solar PV model. Subsequently, a decision matrix is created using HOMER grid optimization results, incorporating indicators like environmental factors, energy usage, tariffs and policies, and economic aspects. A comparative study with Entropy-TOPSIS (EW-TOPSIS), CRITIC-Elimination and Choice Expressing Reality (CW-ELECTRE), and Entropy-ELECTRE (EW-ELECTRE) is conducted to validate the proposed technique's performance. The consistent findings from the comparative study validate the outstanding performance of Net-Energy-Metering 2.0 with Enhanced-Time-of-Use (N2ET). N2ET excels due to its efficient integration of solar PV NEM and dynamic ETOU pricing, amplifying surplus energy trading and benefiting users with improved financial metrics and bill savings. This research envisions guiding stakeholders in solar PV investments and enhancing project feasibility assessments in Malaysia's commercial sector. © 2024 Elsevier Ltd
publisher Elsevier Ltd
issn 17550084
language English
format Article
accesstype
record_format scopus
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