Optimization of the CCHP System Operation Strategy Under the Background of Carbon Peaking and Carbon Neutrality

Zhongzhen WANG; Chunzhen QIAO; Tianxiao LIU; Zhaojun LI; Xingyu LIU; Ruijie ZHAO; Kuifang WAN

doi:10.16513/j.2096-2185.DE.2207503

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(1932 KB)

Distributed Energy ›› 2022, Vol. 7 ›› Issue (5) : 17-22. DOI: 10.16513/j.2096-2185.DE.2207503

Basic Research

Optimization of the CCHP System Operation Strategy Under the Background of Carbon Peaking and Carbon Neutrality

Author information +

History +

Abstract

Combined cooling heating and power (CCHP) system has the advantages of high primary energy utilization rate, small environmental pollution and high economy, which can fully and effectively reduce the environmental pollution problems affecting the whole world, which is the need of social economy and environmental sustainable development, and is also considered as one of the means to achieve the carbon peaking and carbon neutrality goal. In recent years, with the proposal of China's carbon peaking and carbon neutrality target and the development of the domestic carbon trading market, the carbon emission problem will become a major factor affecting the operation strategy of CCHP system. In order to solve the optimization problem of CCHP system in carbon peaking and carbon neutrality background, we use the Matlab to establish a mathematical model of CCHP system.Under two different constraints of carbon emission price and carbon emission index, the model uses the nonlinear programming method to optimize the CCHP system to achieve the lowest operating cost.Through the load calculation of the CCHP system in a certain building, it is verified that the model can provide a suitable operation strategy under different carbon emission constraints, and also provide a reference for the application and development of the CCHP system in the background of carbon peaking and carbon neutrality.

Key words

combined cooling heating and power (CCHP) / distributed energy systems / run strategy optimization / carbon emission

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhongzhen WANG , Chunzhen QIAO , Tianxiao LIU , et al . Optimization of the CCHP System Operation Strategy Under the Background of Carbon Peaking and Carbon Neutrality[J]. Distributed Energy Resources. 2022, 7(5): 17-22 https://doi.org/10.16513/j.2096-2185.DE.2207503

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	庄贵阳. 我国实现“双碳”目标面临的挑战及对策[J]. 人民论坛，2021(18): 50-53. ZHUANG Guiyang. Challenges and countermeasures for China to achieve the goal of ”Carbon Peaking and Carbon Neutrality”[J]. People's Forum, 2021(18): 50-53. Cited in this article [1]

[2]	国旭涛，蔡洁聪，韩高岩，等. 分布式能源技术与发展现状[J]. 分布式能源，2019, 4(1): 52-59. GUO Xutao, CAI Jiecong, HAN Gaoyan, et al. Technologies and development status for distributed energy resources[J]. Distributed Energy, 2019, 4(1): 52-59. Cited in this article [1]

[3]	李伟，章维维. 冷热电三联供系统运行方案的比较分析[J]. 分布式能源，2017, 2(3): 45-49. LI Wei, ZHANG Weiwei. Comparative analysis of operation scheme for CCHP system[J]. Distributed Energy, 2017, 2(3): 45-49. Cited in this article [2]

[4]	解鸣，任德财，濮晓宙，等. 冷热电三联供系统的发展现状和应用综述[J]. 制冷，2019, 38(1): 63-69. JIE Ming, REN Decai, PU Xiaozhou, et al. Summary of development and application of CCHP system[J]. Refrigeration, 2019, 38(1): 63-69. Cited in this article [1]

[5]	朱成章. 美国冷热电联产纲领及启示[J]. 中国电力，2000, 53(9): 93-96. ZHU Chengzhang. Guiding principle for and enlightenment from coolant, heat and power in USA[J]. Electric Power, 2000, 53(9): 93-96. Cited in this article [1]

[6]	DONALD R H, MARC R. Environmental and health benefits of district cooling using utility-based cogeneration in Ontario, Canada[J]. Energy, 1996, 21(12): 1135-1146. Cited in this article [1]

[7]	MAIDMENT G G, ZHAO X, RIFFAT S B. Combined cooling and heating using a gas engine in a supermarket[J]. Applied Energy, 2001(68): 321-335. Cited in this article [1]

[8]

程静，谭智钢，岳雷. 考虑负荷综合需求响应的CCHP-SESS双层优化配置[J/OL]. 电网技术:1-13[2022-08-25].

https://doi.org/10.13335/j.1000-3673.pst.2022.0699

CHENG

Jing

, TAN

Zhigang

, YUE

Lei

. CCHP-SESS bi-layer optimal configuration considering load comprehensive demand response [J/OL]. Power System Technology: 1-13[2022-08-25].

https://doi.org/10.13335/j.1000-3673.pst.2022.0699

Cited in this article [1]

[9]

汤翔鹰，胡炎，耿琪，徐新星. 考虑多能灵活性的综合能源系统多时间尺度优化调度[J]. 电力系统自动化，2021, 45(4): 81-90.

TANG

Xiangying

, HU

Yan

, GENG

, XU

Xinxing

. Multi-time-scale optimal scheduling of integrated energy system considering multi-energy flexibility[J]. Automation of Electric Power Systems, 2021, 45(4): 81-90.

Cited in this article [1]

[10]	贺庆，常大伟，张俊礼，等. 天然气冷热电联产系统区间负荷调度策略优化[J]. 动力工程学报，2022, 42(4): 365-371. HE Qing, CHANG Dawei, ZHANG Junli, et al. Optimization of interval load scheduling strategy for a CCHP system using natural gas [J]. Journal of Chinese Society of Power Engineering, 2022, 42(4): 365-371. Cited in this article [1]

[11]

周守军，马聪聪. 冷热电三联供系统蓄能装置优化运行策略分析[J]. 建筑热能通风空调，2022, 41(2): 13-17

ZHOU

Shoujun

, MA

Congcong

. Optimal operation strategy of the energy storage unit in combined cooling, heating and power supply system during transition seasons[J]. Building Energy & Environment, 2022, 41(2): 13-17.

Cited in this article [1]

[12]

孙黎霞，鞠平，白景涛，等. 计及蓄电池寿命的冷热电联供型微电网多目标经济优化运行[J]. 发电技术，2020, 41(1): 64-72.

SUN

Lixia

, JU

Ping

, BAI

Jingtao

, et al. Multi-objective economic optimal operation of microgrid based on combined cooling, heating and power considering battery life[J]. Power Generation Technology, 2020, 41(1): 64-72.

Cited in this article [1]

[13]	慕明良，李守茂，孟祥鹤，等. 考虑灵活性的冷热电联供型微网优化调度[J]. 智慧电力，2020, 48(3): 39-46, 95. MU Mingliang, LI Shoumao, MENG Xianghe, et al. Optimal scheduling of CCHP microgrid considering flexibility[J]. Smart Power, 2020, 48(3): 39-46, 95. Cited in this article [1]

[14]

王子铭，孙亮，孙立国，等. 基于相变储能热阻模型的CCHP型微能源网优化调度[J]. 东北电力大学学报，2022, 42(1): 96-103.

WANG

Ziming

, SUN

Liang

, SUN

Liguo

, et al. Optimization scheduling of cchp micro-energy network based on phase change energy storage thermal resistance model [J]. Journal of Northeast Electric Power University, 2022, 42(1): 96-103.

Cited in this article [1]

[15]

杨晓辉，张柳芳，吴龙杰，等. 含考虑IDR的冷热电联供微网的主动配电网经济优化调度[J]. 电力系统保护与控制，2022, 50(3): 19-28.

YANG

Xiaohui

, ZHANG

Liufang

, WU

Longjie

, et al. Economic optimal dispatch of an active distribution network with combined cooling, heating and power microgrids considering integrated demand response [J]. Power System Protection and Control, 2022, 50(3): 19-28.

Cited in this article [2]

[16]

王智，陶鸿俊，张玲. 冷热电联供系统多时间尺度滚动优化运行方法研究[J]. 动力工程学报，2022, 42(3): 276-285.

WANG

Zhi

, TAO

Hongjun

, ZHANG

Ling

. Research on multi-time scale rolling optimal operation method of combined cooling, heating and power system[J]. Journal of Chinese Society of Power Engineering, 2022, 42(3): 276-285.

Cited in this article [1]

[17]	严刚，郑逸璇，王雪松，等. 基于重点行业/领域的我国碳排放达峰路径研究[J]. 环境科学研究，2022, 35(2): 309-319. YAN Gang, ZHENG Yixuan, WANG Xuesong, et al. Pathway for carbon dioxide peaking in China based on sectoral analysis [J]. Research of Environmental Sciences, 2022, 35(2): 309-319. Cited in this article [1]

[18]	张莹，黄颖利. 碳中和实践的国际经验与中国路径[J]. 西南金融，2022(9): 94-106. ZHANG Ying, HUANG Yingli. International experiences and China's path of carbon neutrality practices[J]. Southwest Finance, 2022(9): 94-106. Cited in this article [1]

[19]	覃盈盈. “双碳”目标下中国碳税开征的逻辑起点、国际借鉴和政策设计[J]. 西南金融，2022(8): 27-42. TAN Yingying. The logical starting point, international reference and policy design of China's carbon tax collection under the ”Carbon Peaking and Carbon Neutrality” goal[J]. Southwest Finance, 2022(8): 27-42. Cited in this article [1]

[20]	亿科环境. 中国生命周期基础数据库(CLCD) [DB/OL]. (2012-09-05) [2014-10-30]. http://www.ike-global.com/ Cited in this article [1]

[21]	2022年5月碳排放权交易市场动态[J]. 造纸信息，2022(6): 18-20. Dynamics of the carbon emission trading market in May 2022[J]. China Paper Newsletters, 2022 (6): 18-20. Cited in this article [1]

[22]	IPCC. 2019 refinement to the 2006 IPCC guidelines for national greenhouse gas inventories[EB/OL]. (2019-05-12)[2021-07-10]. https://www.ipcc.ch/report/2019-refinement-to-the-2006-ipcc-guidelines-for-nationalgreenhouse-gas-inventories/ Cited in this article [1]