Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit

丁一; 王春亮; 席跃伟; 胡文燕; 杨志平; 郭喜燕

doi:10.11930/j.issn.1004-9649.202505035

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Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit

更新时间：2026-02-03

- Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit
- Vol. 59, Issue 1, Pages: 76-83(2026)
- 作者机构：
  
  1. 清华大学能源与动力工程系,北京,100084
  2. 国投钦州发电有限公司,广西,钦州,535000
  3. 国投钦州第二发电有限公司,广西,钦州,535000
  4. 华北电力大学国家火力发电工程技术研究中心,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202505035
  CLC：
- Published Online：13 January 2026，
  
  Published：13 January 2026
- 稿件说明：
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丁一, 王春亮, 席跃伟, 胡文燕, 杨志平, 郭喜燕. 630 MW超临界供汽热电联产机组收益计算[J]. 中国电力, 2026, 59(1): 76-83.

丁一, 王春亮, 席跃伟, et al. Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit[J]. 2026, 59(1): 76-83.
丁一, 王春亮, 席跃伟, 胡文燕, 杨志平, 郭喜燕. 630 MW超临界供汽热电联产机组收益计算[J]. 中国电力, 2026, 59(1): 76-83. DOI： 10.11930/j.issn.1004-9649.202505035.

丁一, 王春亮, 席跃伟, et al. Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit[J]. 2026, 59(1): 76-83. DOI： 10.11930/j.issn.1004-9649.202505035.

摘要

针对630 MW超临界热电联产机组工业抽汽供热效益开展研究。结合电力现货市场，提出耦合电力市场价格的供热收益分析框架。采用补偿发电功率损失法，建立供热收益计算模型，综合考虑蒸汽销售收益、发电功率损失、补水成本及供热固定资产折旧等因素，引入电价敏感性分析以适配现货市场波动特性。通过EBSILON软件建模验证（误差＜1%），分析了不同抽汽量（97.2~561.6 t/h）下供热收益的变化规律。研究结果表明，在电力市场化环境下，供热经济性呈现动态响应特征，主蒸汽流量、抽汽量、电价波动和热价政策构成4维影响因素体系。现货市场典型场景分析表明，当日前市场出清价超过0.4283元/(kW·h)时，机组应优先切换至纯凝模式；实时市场低电价时段可提升供热负荷至1950 t/h主蒸汽流量工况，此时单位供热收益可达35.80元/t蒸汽。敏感性分析揭示了价格传导机制的非对称性，研究提出的模型为现货市场环境下热电联产机组参与日前―实时竞价、制定热―电联动物价策略提供了量化决策工具。

Abstract

This study investigates the industrial steam extraction heating benefits of 630 MW supercritical combined heat and power (CHP) units. Combined with the electricity spot market

it proposes a heating benefit analysis framework coupled with electricity market prices. Using the power generation loss compensation method

a heating revenue calculation model is established that comprehensively considers steam sales revenue

power generation loss

makeup water cost

and fixed asset depreciation of heating systems. Electricity price sensitivity analysis is introduced to accommodate spot market volatility. Validated through EBSILON software modeling (error ＜ 1%)

the study analyzes the heating revenue patterns under different extraction steam flows (97.2~561.6 t/h). The results demonstrate that the heating economics exhibit dynamic response characteristics in electricity market environments

with main steam flow

extraction steam flow

electricity price fluctuations

and thermal pricing policies forming a four-dimensional influencing factor system. Analysis of typical spot market scenarios indicates that when day-ahead market clearing prices exceed 0.4283 CNY/(kW·h)

the units shall prioritize switching to pure condensation mode. During low-price periods in real-time markets

heating load can be increased up to 1950 t/h main steam flow conditions

achieving unit heating revenue of 35.80 CNY/t-steam. Sensitivity analysis reveals asymmetric price transmission mechanisms. The proposed model provides a quantitative decision-making tool for CHP units participating in day-ahead and real-time bidding and formulating heat-electricity coordinated pricing strategies in spot market environments.

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references

1熊涌盛, 刘明, 严俊杰. 供工业蒸汽热电联产机组滑参数运行的灵活性与经济性分析[J]. 工程热物理学报, 2024, 45 (11): 3262- 3268.

XIONG Yongsheng, LIU Ming, YAN Junjie. Flexibility and economic analysis of parameter sliding operation for a combined heat and power unit supplying industrial steam[J]. Journal of Engineering Thermophysics, 2024, 45 (11): 3262- 3268.

2祁海波, 邹洋, 李钊, 等. 热电联产机组供热能耗影响因素研究[J]. 热能动力工程, 2023, 38 (6): 88- 95.

QI Haibo, ZOU Yang, LI Zhao, et al. Study on factors affecting heating energy consumption of cogeneration unit[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38 (6): 88- 95.

3王安庆, 陈显辉, 赖强, 等. 330MW机组大流量工业供热改造研究[J]. 汽轮机技术, 2023, 65 (1): 71- 73.

WANG Anqing, CHEN Xianhui, LAI Qiang, et al. Research on retrofit of large flow industrial heat supply of 330MW unit[J]. Turbine Technology, 2023, 65 (1): 71- 73.

4孙博昭, 王春波, 李松, 等. 350 MW超临界机组可调式蒸汽喷射器工业供热系统热电联产性能分析[J]. 华北电力大学学报(自然科学版), 2022, 49 (6): 36- 44.

SUN Bozhao, WANG Chunbo, LI Song, et al. Performance analysis of cogeneration of industrial heating system with adjustable steam ejector for 350 MW supercritical unit[J]. Journal of North China Electric Power University (Natural Science Edition), 2022, 49 (6): 36- 44.

5杨志群, 郑立军. 600 MW亚临界机组工业供热改造方案分析[J]. 能源与环境, 2021 (4): 46- 47.

YANG Liqun, ZHENG Lijun. Analysis of industrial heating renovation scheme for 600 MW subcritical unit[J]. Energy and Environment, 2021 (4): 46- 47.

6赵彤, 李雪松, 周浩, 等. 基于动态碳排放强度的电碳市场耦合建模方法及市场优化机制分析[J]. 中国电力, 2025, 58 (4): 31- 43.

ZHAO Tong, LI Xuesong, ZHOU Hao, et al. Electricity carbon coupled market modeling method and market optimization mechanism based on dynamic carbon emission intensity[J]. Electric Power, 2025, 58 (4): 31- 43.

7徐祥海, 商佳宜, 赵天煜, 等. 考虑碳排放限制与市场参与的储能利润优化[J]. 中国电力, 2025, 58 (3): 204- 212.

XU Xianghai, SHANG Jiayi, ZHAO Tianyu, et al. Optimization of energy storage profit considering carbon emission constraints and market participation[J]. Electric Power, 2025, 58 (3): 204- 212.

8周原冰, 张士宁, 侯方心, 等. 电力行业碳达峰及促进全社会碳减排影响分析[J]. 中国电力, 2024, 57 (9): 1- 9.

ZHOU Yuanbing, ZHANG Shining, HOU Fangxin, et al. Analysis of carbon peaking in power sector and its impact on promoting whole-society carbon emissions reduction[J]. Electric Power, 2024, 57 (9): 1- 9.

9李旭东, 谭青博, 赵浩辰, 等. 碳达峰背景下中国电力行业碳排放因素和脱钩效应[J]. 中国电力, 2024, 57 (5): 88- 98.

LI Xudong, TAN Qingbo, ZHAO Haochen, et al. Carbon emission factors and decoupling effects of China's power industry under the background of carbon peak[J]. Electric Power, 2024, 57 (5): 88- 98.

10宋之平, 张光. 试论联产电厂热电单耗分摊中的人为规定性与客观实在性[J]. 中国电机工程学报, 1996, 16 (4): 217- 220.

SONG Zhiping, ZHANG Guang. Critical remarks on personal judgments and objective realities in cost allocationfor cogeneration plants[J]. Proceedings of the CSEE, 1996, 16 (4): 217- 220.

11宋之平. 供热系统“单耗分析”模型[J]. 热能动力工程, 1996, 11 (5): 305- 310, 335.

SONG Zhiping. Unit consumption"model for a heat supply system[J]. Journal of Engineering for Thermal Energy and Power, 1996, 11 (5): 305- 310, 335.

12宋之平, 张光. 联产机组供热的“单耗分析”[J]. 热能动力工程, 1997, 12 (1): 1- 4.

SONG Zhiping, ZHANG Guang. Unit comsumption aanlysis"of CHP heat supply[J]. Journal of Engineering for Thermal Energy and Power, 1997, 12 (1): 1- 4.

13宋之平. 以总能系统观点与用热终端高效化为特征的大中型火电机组联产供热系统新模式[J]. 中国电机工程学报, 1998, 18 (1): 1- 5.

SONG Zhiping. Novel model of CHP heating system for sizable power units[J]. Proceedings of the CSEE, 1998, 18 (1): 1- 5.

14何晓燕. 热电联产机组调峰经济性研究[D]. 北京: 华北电力大学, 2021.

HE Xiaoyan. Research on peak regulation economy of cogeneration unit[D]. Beijing: North China Electric Power University, 2021.

15张艺晨, 戈志华, 杨勇平, 等. 基于㶲分析的热电联产能耗一致性评价方法[J]. 中国电机工程学报, 2024, 44 (2): 642- 652.

ZHANG Yichen, GE Zhihua, YANG Yongping, et al. Unified evaluation method of cogeneration energy consumption based on exergy analysis[J]. Proceedings of the CSEE, 2024, 44 (2): 642- 652.

17吴艳娟, 靳鹏飞, 刘长铖, 等. 基于奖惩阶梯型碳价机制的能源枢纽低碳优化策略[J]. 电力工程技术, 2024, 43 (3): 88- 98.

WU Yanjuan, JIN Pengfei, LIU Changcheng, et al. Low-carbon optimization strategy for energy hub based on reward-punishment ladder carbon price mechanism[J]. Electric Power Engineering Technology, 2024, 43 (3): 88- 98.

18舒征宇, 朱凯翔, 王灿, 等. 考虑碳交易的虚拟电厂日前电力市场竞价策略[J]. 电力工程技术, 2024, 43 (5): 58- 68, 149.

SHU Zhengyu, ZHU Kaixiang, WANG Can, et al. Virtual power plants participating in day-ahead electricity market bidding strategy considering carbon trading[J]. Electric Power Engineering Technology, 2024, 43 (5): 58- 68, 149.

22靳伯阳. 计及辅助服务收益热电联产机组深度调峰技术的经济性[J]. 分布式能源, 2022, 7 (6): 52- 59.

JIN Boyang. Techno-economic analysis of deep peak regulation of combined heat and power units considering the benefits of auxiliary service[J]. Distributed Energy, 2022, 7 (6): 52- 59.

23刘荣堂, 王宇, 范佩佩, 等. 集成蒸汽喷射器的热电协同系统全工况性能分析[J]. 动力工程学报, 2023, 43 (1): 56- 64.

LIU Rongtang, WANG Yu, FAN Peipei, et al. Performance analysis of a heat-power synergy system integrated with steam ejectors under the full working condition[J]. Journal of Chinese Society of Power Engineering, 2023, 43 (1): 56- 64.

24刘嘉康. 考虑碳交易的热电联产机组经济运行方式研究[D]. 北京: 华北电力大学, 2023.

LIU Jiakang. Study on economic operation mode of cogeneration unit considering carbon trading[D]. Beijing: North China Electric Power University, 2023.

25刘立巍. 基于热负荷预测的供热机组深度调峰竞价策略研究和应用[D]. 南京: 东南大学, 2022.

LIU Liwei. Research and application of deep peaking bidding strategy for heating units based on heat load prediction[D]. Nanjing: Southeast University, 2022.

26牟文彪, 陈莉莉. 纯凝机组供热改造后供热成本计算方法[J]. 华北电力技术, 2014 (8): 37- 41.

MOU Wenbiao, CHEN Lili. Calculation method of heating cost after heating transformation of pure condensing unit[J]. North China Electric Power, 2014 (8): 37- 41.

27曾海波, 陈卓. 基于EBSILON的1000MW机组热再抽汽供热改造研究[J]. 发电设备, 2023, 37 (3): 192- 197.

ZENG Haibo, CHEN Zhuo. Research on retrofit of the heating system with extraction steam from reheat hot section in a 1 000MW unit based on EBSILON[J]. Power Equipment, 2023, 37 (3): 192- 197.

28任鑫, 王渡, 齐结红, 等. 基于EBSILON的热电厂热电负荷分配优化研究[J]. 热能动力工程, 2023, 38 (1): 82- 89, 146.

REN Xin, WANG Du, QI Jiehong, et al. Optimization study on thermal and electric load distribution of thermal power plant based on EBSILON[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38 (1): 82- 89, 146.

29刘军, 李洪波, 管洪军, 等. 低压缸零出力改造后热网疏水系统对热经济性影响的Ebsilon模拟[J]. 东北电力大学学报, 2023, 43 (6): 87- 93.

LIU Jun, LI Hongbo, GUAN Hongjun, et al. Influence of the draining system of heat network on the thermal economy afterthe low-pressure cylinder zero output reconstruction based on ebsilon[J]. Journal of Northeast Electric Power University, 2023, 43 (6): 87- 93.

30麻国倩. 基于EBSILON二次再热百万机组机炉耦合建模仿真及热经济性研究[D]. 济南: 山东大学, 2020.

MA Guoqian. Based on EBSILON modeling and simulation of Double Reheat millions Unit under coupled Steam Turbin and Boiler and thermal economy study[D]. Jinan: Shandong University, 2020.

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