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 Authors: Ilham, Nur Iqtiyani; Dahlan, Nofri Yenita; Hussin, Mohamad Zhafran
Format: Article
Language:English
Published: ELSEVIER 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001202916900001
author Ilham
Nur Iqtiyani; Dahlan
Nofri Yenita; Hussin
Mohamad Zhafran
spellingShingle Ilham
Nur Iqtiyani; Dahlan
Nofri Yenita; Hussin
Mohamad Zhafran
Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
Energy & Fuels
author_facet Ilham
Nur Iqtiyani; Dahlan
Nofri Yenita; Hussin
Mohamad Zhafran
author_sort Ilham
spelling Ilham, Nur Iqtiyani; Dahlan, Nofri Yenita; Hussin, Mohamad Zhafran
Optimizing solar PV investments: A comprehensive decision-making index using CRITIC and TOPSIS
RENEWABLE ENERGY FOCUS
English
Article
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 CWTOPSIS 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.
ELSEVIER
1755-0084
1878-0229
2024
49

10.1016/j.ref.2024.100551
Energy & Fuels

WOS:001202916900001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001202916900001
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
container_title RENEWABLE ENERGY FOCUS
language English
format Article
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 CWTOPSIS 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.
publisher ELSEVIER
issn 1755-0084
1878-0229
publishDate 2024
container_volume 49
container_issue
doi_str_mv 10.1016/j.ref.2024.100551
topic Energy & Fuels
topic_facet Energy & Fuels
accesstype
id WOS:001202916900001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001202916900001
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collection Web of Science (WoS)
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