Enhancing Energy Flexibility Balancing User Needs and Constraints

This study investigates the potential of demand-side flexibility to enhance self-consumption and self-sufficiency in buildings equipped with renewable energy on-site generation, specifically focusing on the scheduling of shiftable household appliances. A novel automatic methodology is presented that leverages probability distributions to model user consumption patterns and identify flexible operating windows for these appliances. The method allows for shifting appliance operation times to better align with renewable energy production while maintaining user comfort. A case study involving four households within a renewable energy community demonstrates a significant improvement in self-consumption and self-sufficiency indexes through the application of the developed methodology. The economic benefits are substantial, resulting in a shorter payback period for the renewable energy investment and a subsequent increased profitability. The results highlight the significant potential of demand-side flexibility management for optimizing renewable energy integration in buildings and enhancing the economic viability of self-consumption strategies.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/isie62713.2025.11124676
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Enhancing Energy Flexibility Balancing User Needs and Constraints

Pedro Pereira, João Bento, Rui Amaral Lopes, V. Fernão Pires et al.
Green IT and Sustainability
article

Enhancing Energy Flexibility Balancing User Needs and Constraints

Pedro Pereira, João Bento, Rui Amaral Lopes, V. Fernão Pires, Noman Shabbir, João Francisco Martins
article en

Abstract

This study investigates the potential of demand-side flexibility to enhance self-consumption and self-sufficiency in buildings equipped with renewable energy on-site generation, specifically focusing on the scheduling of shiftable household appliances. A novel automatic methodology is presented that leverages probability distributions to model user consumption patterns and identify flexible operating windows for these appliances. The method allows for shifting appliance operation times to better align with renewable energy production while maintaining user comfort. A case study involving four households within a renewable energy community demonstrates a significant improvement in self-consumption and self-sufficiency indexes through the application of the developed methodology. The economic benefits are substantial, resulting in a shorter payback period for the renewable energy investment and a subsequent increased profitability. The results highlight the significant potential of demand-side flexibility management for optimizing renewable energy integration in buildings and enhancing the economic viability of self-consumption strategies.

Tallinn University of Technology (EE), Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), University of Lisbon (PT), Universidade Nova de Lisboa (PT)
Affordable and clean energy
Openalex Percentile: Top 79%
Green IT and Sustainability
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