Assessment of smart district heating–cooling networks considering renewable and zero-carbon strategies

Article

Ahmed, Ijaz, Habiba, Um-e, Hossain, Md Alamgir and Khalid, Muhammad. 2025. "Assessment of smart district heating–cooling networks considering renewable and zero-carbon strategies." Renewable and Sustainable Energy Reviews. 224. https://doi.org/10.1016/j.rser.2025.116037
Article Title

Assessment of smart district heating–cooling networks considering renewable and zero-carbon strategies

ERA Journal ID4066
Article CategoryArticle
AuthorsAhmed, Ijaz, Habiba, Um-e, Hossain, Md Alamgir and Khalid, Muhammad
Journal TitleRenewable and Sustainable Energy Reviews
Journal Citation224
Article Number116037
Number of Pages30
Year2025
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN1364-0321
1879-0690
Digital Object Identifier (DOI)https://doi.org/10.1016/j.rser.2025.116037
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S1364032125007105
Abstract

Modern regional power delivery networks include key components like smart energy generation, smart energy storage, flexible power trading for better collaboration, improved power management strategies, efficient control systems, and dependable service. Smart power trading approaches between urban areas have the ability to optimize power generation costs, minimize carbon emissions, and effectively handle irregular demand patterns. Nevertheless, there have been few scholarly investigations that specifically examine the latest advancements in science and the application of algorithms to operate regional power delivery networks. The current research thoroughly examined district heating and cooling systems, looking at advanced grid methods and the use of smart power management strategies that combine different fields of study. This work presented an urban energy trading framework for managing regional power demand, taking into account hybrid power networks. Furthermore, case studies that involve consumer power estimation, resilient power dispatch solutions, developing designs for power uncertainty assessment, and designing necessary functioning elements in hybrid power networks have demonstrated the potential of AI-enabled techniques for sustainable power delivery. Additionally, a holistic regional power framework was developed, combining green power production elements, waste heat harnessing from energy hubs, and innovative power conversion schemes to facilitate the delivery and trading of clean energy sources. The current work also highlights possible problems, such as creating guidelines to find the best power storage options based on different factors like weather conditions and location; challenges in combining systems; technology for hybrid power networks at a business level; and setting up a system that encourages private companies to get involved.

KeywordsUrban thermal management; Smart storage solutions; Constrained optimization problems; Artificial intelligence; Low-carbon management; Sustainable energy transformation
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400803. Electrical energy generation (incl. renewables, excl. photovoltaics)
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Byline AffiliationsKing Fahd University of Petroleum and Minerals, Saudi Arabia
Griffith University
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