A Tool to Assess the Interaction between Energy Efficiency, Demand Response, and Power System Reliability

Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Fiorella Stella, Caterina Aura, Claudia Liutic and Gaetano Polizzi
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Daniele Menniti: Department of Mechanical, Energetic and Managerial Engineering, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Anna Pinnarelli: Department of Mechanical, Energetic and Managerial Engineering, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Nicola Sorrentino: Department of Mechanical, Energetic and Managerial Engineering, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Fiorella Stella: Department of Mechanical, Energetic and Managerial Engineering, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Caterina Aura: Department of Business and Legal Sciences, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Claudia Liutic: Department of Business and Legal Sciences, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy
Gaetano Polizzi: Department of Mechanical, Energetic and Managerial Engineering, University of Calabria, Arcavacata di Rende, 87036 Cosenza, Italy

Energies, 2022, vol. 15, issue 15, 1-12

Abstract: Utilities are increasingly interested in integrating energy efficiency and demand response measures as a strategic approach that aims to achieve an increasingly reliable, dynamic, and integrated electric system. The concepts of energy efficiency (EE), demand response (DR), and system reliability (ESR) have been mainly studied from a different perspective, dealing only with the interaction between EE and DR and between EE and ESR. This paper aims to improve knowledge and demonstrate the validity of EE interventions (EEIs) through the use of a tool for evaluating the benefits of energy efficiency measures (EEMs) in the environmental sphere and in terms of DR and ESR. In order to evaluate this interaction, a quantitative method is proposed and validated on real results in an Italian case scenario, taking into account the analysis of smart meters data for residential users located in southern Italy in Calabria. Based on the collected data, an aggregation of users was evaluated with real hourly profiles covering the period from January 2020 to August 2020. These results show how efficient energy use may affect DR resource availability and power systems reliability. In conclusion, the authors justify that a more reliable electric system is ready for new types of EE financing systems based on pay-for-performance contracts.

Keywords: energy efficiency; energy system reliability; demand response; pay for performance (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
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