The heating periodicity control strategy of the combined heat and power-coupled energy storage system

Most analyses on heating strategies for power plants rely on a 24-hour heating periodicity technique, simplifying the examination of heating strategies for the entire heating season to that of a single-day''s strategy. Addressing this limitation, the study in this paper uses various heating periodicities as metrics for heating strategies, investigating their impacts on the system. To facilitate simulating heat load data for the entire heating season across different periodicities, the author introduces a supplementary simulation method utilizing MATLAB-EBSILON. This approach enables the rapid and efficient computation and simulation of extensive data sets. Various strategies influence the heating system primarily in terms of natural gas consumption. While longer heating periodicities result in more significant natural gas savings, they also escalate the demand for energy storage system. The research results show that with electricity prices between 0.3 and 0.5 yuan/kWh and natural gas prices ranging from 3.4 to 4.2 yuan/m3 a 12-hour heating periodicity is identified as the economically optimal heating strategy for the region studied in this article. This approach can save about 7% more economically than conventional 24-hour heating periodicity.

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Publication Details

Journal
Energy Sources Part A Recovery Utilization and Environmental Effects
Published
2024-08-26
DOI
https://doi.org/10.1080/15567036.2024.2393774
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

The heating periodicity control strategy of the combined heat and power-coupled energy storage system

Ran Zhuo, Huihuang Li, Yuetao Shi, Chang Li
Energy Sources Part A Recovery Utilization and Environmental Effects
Integrated Energy Systems Optimization
article

The heating periodicity control strategy of the combined heat and power-coupled energy storage system

Ran Zhuo, Huihuang Li, Yuetao Shi, Chang Li
article en

Abstract

Most analyses on heating strategies for power plants rely on a 24-hour heating periodicity technique, simplifying the examination of heating strategies for the entire heating season to that of a single-day''s strategy. Addressing this limitation, the study in this paper uses various heating periodicities as metrics for heating strategies, investigating their impacts on the system. To facilitate simulating heat load data for the entire heating season across different periodicities, the author introduces a supplementary simulation method utilizing MATLAB-EBSILON. This approach enables the rapid and efficient computation and simulation of extensive data sets. Various strategies influence the heating system primarily in terms of natural gas consumption. While longer heating periodicities result in more significant natural gas savings, they also escalate the demand for energy storage system. The research results show that with electricity prices between 0.3 and 0.5 yuan/kWh and natural gas prices ranging from 3.4 to 4.2 yuan/m3 a 12-hour heating periodicity is identified as the economically optimal heating strategy for the region studied in this article. This approach can save about 7% more economically than conventional 24-hour heating periodicity.

Energy Sources Part A Recovery Utilization and Environmental EffectsVol. 46(1)
Shandong University (CN), Harbin Electric Corporation (China) (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 89%
Integrated Energy Systems Optimization
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