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A review on optimization of district energy systems

Research output: Contribution to journalReview articlepeer-review

Abstract

The scientific state-of-the-art indicates that solutions for integrating renewable energy in the energy sector have primarily been sought within the limits of individual energy sub-sectors, focusing on concepts such as 'Smart Grid', 'Zero Energy Buildings', and 'Power-to-Heat', while the heating and cooling sectors have largely been overlooked so far. The heating and cooling sector should undergo a transformation in response to sustainability concerns and greenhouse gas emissions. District energy systems (DES) are expected to play an essential role in the development of climate-neutral societies. However, due to its large scale and its potential integration to a number of other energy systems, DES introduces complexity in design and operation, necessitating optimization studies to achieve key objectives such as reducing operational and infrastructure costs, minimizing emissions, and enhancing efficiency. This review addresses a gap in current research on DES optimization by exploring the technical aspects behind DES optimization and their practical applications. The review begins by outlining the state-of-the-art of DES and their evolution. Following this, the review examines the technical foundations of DES optimization studies in the literature. Moreover, the review outlines the critical components of DES optimization, including problem formulation and algorithms used to find efficient solutions. Additionally, key areas for future research and development in DES optimization are identified.

Original languageEnglish
Article number116041
JournalRenewable and Sustainable Energy Reviews
Volume225
ISSN1364-0321
DOIs
Publication statusPublished - Jan 2026

Bibliographical note

Publisher Copyright:
© 2025 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Climate-neutral societies
  • District cooling
  • District heating
  • Energy prosumers
  • Genetic algorithms
  • Mathematical optimization
  • Predictive control
  • Smart energy systems
  • Smart grids

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