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A Multi-objective Optimal Scheduling Method for the Gas–Steam–Power System Takes into Account the Exergy Efficiency of Iron and Steel Enterprises

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Lei Zhang
Peihong Yang
Lan Kang
Hui Cao
Published in
Advances in Energy Power and Automation Engineering
Publisher
Springer Nature Singapore

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Abstract

This chapter introduces a multi-objective optimal scheduling method for gas-steam-power systems (GSPS) in iron and steel enterprises, focusing on exergy efficiency, operation costs, and carbon emissions. The method aims to balance economic, energy efficiency, and environmental objectives for sustainable development. The chapter provides a detailed analysis of the GSPS structure, including the types of by-product gases and their energy conversion processes. It also presents a comprehensive optimization model that considers exergy efficiency, operation costs, and carbon emissions. The chapter includes a case study of an iron and steel enterprise in northern China, demonstrating the effectiveness of the proposed method through simulation examples. The results show that the multi-objective approach can achieve a balance between economic and environmental goals, making it a valuable tool for optimizing energy systems in iron and steel enterprises.
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Title
A Multi-objective Optimal Scheduling Method for the Gas–Steam–Power System Takes into Account the Exergy Efficiency of Iron and Steel Enterprises
Authors
Lei Zhang
Peihong Yang
Lan Kang
Hui Cao
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Advances in Energy Power and Automation Engineering

Print ISBN: 978-981-9690-08-4

Electronic ISBN: 978-981-9690-09-1

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-9009-1_14
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