Optimizing wind power utilization through integrated thermoelectric peak shaving

Wang, Haichao, Han, Jianbo, Wang, Tianyu, Luo, Zhiwen ORCID: https://orcid.org/0000-0002-2082-3958, Lahdelma, Risto, Granlund, Katja and Teppo, Esa 2025. Optimizing wind power utilization through integrated thermoelectric peak shaving. Energy Conversion and Management 333 , 119828. 10.1016/j.enconman.2025.119828

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Abstract

The integration of wind power into energy systems is a critical global challenge in the context of limited peak shaving capacity of cogeneration units, observed in many regions with high wind energy potential. This study explores thermoelectric decoupling strategies to enhance wind power utilization and improve system efficiency. Four integrated thermoelectric peak shaving schemes are investigated, including electric boiler, electric heat pump, absorption heat pump, and mechanical heat pump, each integrated with thermal energy storage. A mathematical model was developed and validated using data from a combined heat and power plant in Jilin Province, China, demonstrating its scalability and applicability. The results indicate that the mechanical heat pump and electric heat pump schemes achieved the highest net incomes, with exergic efficiencies exceeding 65 %. The electric boiler scheme achieved the highest wind power utilization, reducing the wind curtailment rate to 0.1 %. All schemes contributed to significant coal savings, with the mechanical heat pump reducing standard coal consumption by 16.91 kg/MWh of electricity and 1.22 kg/GJ of heat. Furthermore, the schemes demonstrated substantial carbon emission reductions and improvements in overall energy efficiency. These findings provide more insights into enhancing the operational flexibility of combined heat and power systems and integrating renewable energy sources, offering a scalable solution for regions seeking to transition to low-carbon energy systems.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Architecture
Publisher:	Elsevier
ISSN:	0196-8904
Date of First Compliant Deposit:	22 April 2025
Date of Acceptance:	18 April 2025
Last Modified:	27 May 2025 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/177842

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