An Detailed Analysis of Modelling and Optimisation Techniques for Including Energy Storage and Renewable Energy in District Heating Systems

Authors

  • Asif Raza Jarwar School of Electrical and Power engineering Hohai University Nanjing , Jiangsu P.R China
  • Guo Su School of Electrical and Power engineering Hohai University Nanjing , Jiangsu P.R China

Keywords:

Optimisation Techniques, Energy Storage, Renewable Energy, District Heating Systems

Abstract

The construction and infrastructure industry constitutes approximately 47% of worldwide energy utilization. Numerous conventional energy resources, such as petroleum and coal are categorized as non-renewable and are projected to experience depletion within the forthcoming decades. To mitigate the persistent energy dilemmas, the implementation of renewable energy sources such as solar energy, alongside substantial advancements in energy efficiency, has been proposed as feasible remedial measures. Within this framework, District Heating Systems (DHS) have received heightened scrutiny due to their myriad advantages in energy generation, distribution, and application for space heating. This manuscript investigates contemporary advancements in the production, modeling, and optimization of DHS. It systematically classifies energy resources according to their sustainability and their compatibility with the integration of DHS. Furthermore, the prevailing modeling methodologies are assessed with respect to computational efficiency, precision, and reliability of the outcomes. Additionally, the report groups recent DHS research according to various optimisation goals, such as maximising energy and energy efficiency, minimising greenhouse gas (GHG) emissions, reducing costs, and taking exergo-economic and thermo-economic factors into account.

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Published

2025-02-17

How to Cite

Asif Raza Jarwar, & Guo Su. (2025). An Detailed Analysis of Modelling and Optimisation Techniques for Including Energy Storage and Renewable Energy in District Heating Systems. Pakistan Journal of Multidisciplinary Innovation, 4(1), 01–19. Retrieved from https://journals.airsd.org/index.php/pjmi/article/view/512