Selecting Net-zero Energy Building Technology Using Hybrid BWM-TOPSIS Method

Net zero energy building (NZEB) technologies offer a pathway to tackle the challenges of climate change resulting from greenhouse gas emissions. Diverse approaches and materials employed in constructing buildings can yield an effective system for storing and utilizing energy efficiently. The selection of NZEB technology has become pivotal, serving not only in the provision of clean energy solutions (Goal 7) but also in fostering a healthier climate (Goal 13) as integral to achieving the United Nations{\prime} sustainable development goals (UNSDGs). Hence, the focal point of this investigation is to propose appropriate benchmarks for selecting the most suitable technologies for NZEBs. This will be achieved through the application of the Best-Worst Method (BWM) to compute relative preferences of the eight selection criteria identified from the literature, followed by the evaluation of nine alternative technologies through the Technique For Order Preference By Similarity To the Ideal Solution (TOPSIS) approach.

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Published
2024-12-01
DOI
https://doi.org/10.1109/iclie61478.2024.11015412
Primary Topic
Energy Load and Power Forecasting
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article
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article

Selecting Net-zero Energy Building Technology Using Hybrid BWM-TOPSIS Method

Moaz Gharib, Ashish Trivedi, Vibha Trivedi
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Energy Load and Power Forecasting
article

Selecting Net-zero Energy Building Technology Using Hybrid BWM-TOPSIS Method

Moaz Gharib, Ashish Trivedi, Vibha Trivedi
article en

Abstract

Net zero energy building (NZEB) technologies offer a pathway to tackle the challenges of climate change resulting from greenhouse gas emissions. Diverse approaches and materials employed in constructing buildings can yield an effective system for storing and utilizing energy efficiently. The selection of NZEB technology has become pivotal, serving not only in the provision of clean energy solutions (Goal 7) but also in fostering a healthier climate (Goal 13) as integral to achieving the United Nations{\prime} sustainable development goals (UNSDGs). Hence, the focal point of this investigation is to propose appropriate benchmarks for selecting the most suitable technologies for NZEBs. This will be achieved through the application of the Best-Worst Method (BWM) to compute relative preferences of the eight selection criteria identified from the literature, followed by the evaluation of nine alternative technologies through the Technique For Order Preference By Similarity To the Ideal Solution (TOPSIS) approach.

O. P. Jindal Global University (IN), Dhofar University (OM)
Affordable and clean energy
Openalex Percentile: Top 72%
Energy Load and Power Forecasting
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