EN630 MW超临界供汽热电联产机组收益计算
Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit
- 中国电力 2026年59卷第1期 页码：76-83
- 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：国家自然科学基金创新研究群体科学基金资助项目（51821004）。
DOI：10.11930/j.issn.1004-9649.202505035
中图分类号：-
网络出版：2026-01-13，
纸质出版：2026-01-13
- 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.
关键词
Keywords
references
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