Fuzzy Delphi Method For Smart Grid Enabler Framework Development Towards Residential Energy Conservation Strategies

Abdul Razak, Ahmad Haqqi Nazali; Ahmad, Nur Azfahani; Radin Abdul Halim, Radin Zulhazmi; Muhammad Sukki, Firdaus

Abstract

The global implementation of smart grids has revolutionized the electricity grid, including in Malaysia, where Tenaga Nasional Berhad leads the initiative. This Smart Grid system is akin to the internet of electricity, serving as a pivotal element in the sustainable energy transition within the electricity sector. The residential sector, which heavily relies on electricity for daily activities, stands to benefit significantly from this development. Despite the numerous advantages offered by smart grids, the Malaysian residential sector has not yet fully optimized these benefits to incorporate fit-for-use components. Thus, this research aims to develop a Smart Grid Enabler (SGE) framework for the Malaysian residential sector towards supporting energy conservation strategies. Based on Trias Energetica and Smart Grid Conceptual model, a Fuzzy Delphi Method is utilised to synthesize expert consensus and establish critical components for the SGE framework and achieve the aim of this research. Subsequent future research anticipates better refined SGE framework which explores pragmatic and practical real-world applications in the residential setting. This study contributes towards the ongoing efforts in sustainable energy development through smart grid system optimisation for the Malaysian residential sector.

Citation

Abdul Razak, A. H. N., Ahmad, N. A., Radin Abdul Halim, R. Z., & Muhammad Sukki, F. (2024, October). Fuzzy Delphi Method For Smart Grid Enabler Framework Development Towards Residential Energy Conservation Strategies. Presented at 4th International Conference on Built Environment and Engineering 2024 (IConBEE2024), Pulau Pinang, Malaysia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 4th International Conference on Built Environment and Engineering 2024 (IConBEE2024)
• Start Date: Oct 15, 2024
• End Date: Oct 17, 2024
• Acceptance Date: Aug 30, 2024
• Deposit Date: Oct 30, 2024
• Peer Reviewed: Peer Reviewed
• Keywords: Smart Grid System; Smart Grid Enabler; Residential Sector; Energy Optimisation Components; Framework; Fuzzy Delphi Method; Expert Opinion
• Publisher URL: https://iconbee.uitm.edu.my/publications/publication-2024/
• External URL: https://iconbee.uitm.edu.my/