Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies

Author:

Jurjevic Ruzica1,Zakula Tea2

Affiliation:

1. Energy Institute Hrvoje Požar, 10000 Zagreb, Croatia

2. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia

Abstract

Power grids in the 21st century face unprecedented challenges, including the urgent need to combat pollution, mitigate climate change, manage dwindling fossil fuel reserves, integrate renewable energy sources, and meet greater energy demand due to higher living standards. These challenges create heightened uncertainty, driven by the intermittent nature of renewables and surges in energy consumption, necessitating adaptable demand response (DR) strategies. This study addresses this urgent situation based on a statistical analysis of recent scientific research papers. It evaluates the current trends and DR practices in buildings, recognizing their pivotal role in achieving energy supply–demand equilibrium. The study analysis provides insight into building types, sample sizes, DR modeling approaches, and management strategies. The paper reveals specific research gaps, particularly the need for more detailed investigations encompassing building types and leveraging larger datasets. It underscores the potential benefits of adopting a multifaceted approach by combining multiple DR management strategies to optimize demand-side management. The findings presented in this paper can provide information to and guide future studies, policymaking, and decision-making processes to assess the practical potential of demand response in buildings and ultimately contribute to more resilient and sustainable energy systems.

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy Management Framework for Transactive Energy Communities;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates;Buildings;2024-05-25

3. Optimizing Energy Consumption in Smart Buildings through Reinforcement Learning-Based Demand Response Strategies;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

4. Evaluation of a novel annular fin for heat transfer enhancement in hot water oil-displacement system;Thermal Science and Engineering Progress;2024-03

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