Industrial cluster energy systems integration and management tool
•Sustainable energy systems, modelling and simulation concepts are discussed.•Modelling and simulation of energy systems are systematically presented.•The model is applied to a multi-vector industrial cluster case study.•Cluster energy efficiency is a crucial step towards decarbonisation.•Electrific...
Gespeichert in:
Veröffentlicht in: | Energy conversion and management 2023-12, Vol.297, p.117731, Article 117731 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Sustainable energy systems, modelling and simulation concepts are discussed.•Modelling and simulation of energy systems are systematically presented.•The model is applied to a multi-vector industrial cluster case study.•Cluster energy efficiency is a crucial step towards decarbonisation.•Electrification of heat and renewable generation can enable grid island mode.
Critical for achieving the United Kingdom's net-zero targets, decarbonising industrial clusters would require robust tools to assess the feasibility of decarbonisation technologies and investment solutions. This paper presents an integrated energy system planning tool for decarbonising industrial clusters. The adoption of the transfer functions method enables the development of individual component models for technologies, networks, and loads, facilitating the control and simulation of complex dynamics in multi-energy system operation, as demonstrated in a case study investigating heat and power demands of a dynamic hybrid cluster, with evaluation of decarbonisation implications including heat electrification, renewables, and fuel switching in both grid-connected and island modes to establish potential pathways for decarbonisation. With the implementation of these decarbonisation measures in the case study cluster, primary energy demand, costs, emissions, and energy losses were reduced by 42%, 71%, 53%, and 72% in grid mode and by 40%, 70%, 53%, and 63% in island mode, and higher losses in island mode is due to excess heat production by electric boilers intended to consume all available power. While outcomes might differ among various clusters due to their specific features, the study cluster, characterised by substantial heat demand compared to electricity and significant electricity exports, achieves significant emission reduction via heat electrification compared to other individual decarbonisation technology. Moreover, this tool will be instrumental in helping industrial clusters formulate comprehensive decarbonisation roadmaps based on informed decisions. |
---|---|
ISSN: | 0196-8904 1879-2227 |
DOI: | 10.1016/j.enconman.2023.117731 |