Evaluation of Demand Response Potential Flexibility in the Industry Based on a Data-Driven Approach

Eunjung Lee, Keon Baek and Jinho Kim
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Eunjung Lee: School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Keon Baek: School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Jinho Kim: School of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Korea

Energies, 2020, vol. 13, issue 23, 1-12

Abstract: The rapid increase in renewable energy resources has resulted in the increasing need for a demand flexibility program (DFP) from industrial load resources as a solution to oversupply and peak load spikes. However, to reasonably estimate the DR potential flexibility, the load characteristics must be analyzed and potential assessment formulas must be validated. Thus, in this study, a novel method is proposed to evaluate the DR potential flexibility of industrial loads according to a process of related load-characteristic data analysis. The proposed potential-estimation model considers frequency, consistency, and DR event operation scores during designated ramp-up and ramp-down time intervals separately. A case study was conducted by considering typical cement industry process with actual power-consumption data analysis for demonstrating the test system. The results confirm that load reduction of more than half of the usual power consumption is possible if a potential score is about 0.27 in cement industry cases. Thus, the proposed method can be used as an indicator to determine how an industrial load is adequate for obtaining a DFP while suggesting meaningful implications through industrial load-resource data analysis.

Keywords: demand response; load flexibility; industrial load; data analysis (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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