Potential of Demand Response for Power Reallocation, a Literature Review

Emmanuel Binyet, Ming-Chuan Chiu, Hsin-Wei Hsu, Meng-Ying Lee and Chih-Yuan Wen
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Emmanuel Binyet: Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
Ming-Chuan Chiu: Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 300044, Taiwan
Hsin-Wei Hsu: Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan
Meng-Ying Lee: Green Energy Initiative Division, Industrial Technology Research Institute, Hsinchu 310401, Taiwan
Chih-Yuan Wen: Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 300044, Taiwan

Energies, 2022, vol. 15, issue 3, 1-30

Abstract: The power demand on the electric grid varies according to the time of the day following users’ needs and so does the cost of electricity supply because the electricity mix is formed using different generators of varying capacities. Demand response (DR) is the modification of the consumption load curve following a signal from the electricity provider; it is mostly used for peak clipping. By reducing the short-term mismatch between generation and consumption, it helps to integrate intermittent renewables and new low-carbon technologies such as energy storage, electric vehicles, and power-to-gas. The present work is a literature survey based on the following keywords: demand response, demand technology, potential, power, and power dispatch, which aims to provide a summary of the state of the art regarding the potential for demand response implementation. Literature is either related to potential assessment or to implementation; less focus is given on non-dispatchable DR than on dispatchable DR. There is a great untapped potential for power demand reallocation in all sectors. Incentivizing users to participate in demand response programs is crucial, as well as education campaigns and smart meters penetration. The barriers to demand response are mostly the investment costs in the absence of an adequate pricing scheme.

Keywords: demand response; load scheduling; renewable energy integration; peak shaving; smart grid; energy management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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