Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning

Karen Gah Hie Kong, Bing Shen How, Juin Yau Lim, Wei Dong Leong, Sin Yong Teng, Wendy Pei Qin Ng, Irene Moser and Jaka Sunarso

Energy, 2022, vol. 239, issue PD

Abstract: As the energy demand keeps growing with the world's increasing population, concerns have arisen about the carbon emissions that contribute to critical environmental issues. These environmental concerns drive many nations to commit themselves in pursuing sustainable energy resources. Different process integration techniques have been developed to achieve a viable energy planning sector. In reference to the literature review, the use of time-sliced based models in optimization problems is still sparse. Hence, this paper aims to develop a time-sliced based optimization model that can be integrated into energy integration models. With that, a multi-period pinch-based methodology (targeting, scheduling, and optimization) for electric power systems with the hybridization of renewables and fossil-based energy is proposed. The prospective framework is designed to meet the emissions limit, fulfil energy demand, and minimize the electricity bill. An illustrative case study in Malaysia incorporated with an actual billing system is used to demonstrate the effectiveness of the proposed framework. The results show that it is capable of reducing the total electricity bill by 35% and achieving a 71% reduction of emissions by using solar PV as the renewables.

Keywords: Optimization; Renewable energy; Carbon-constrained energy planning; Mixed-integer linear programming; Automated targeting model; Time-sliced based optimization model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025688

DOI: 10.1016/j.energy.2021.122320

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