Electric Power ›› 2026, Vol. 59 ›› Issue (1): 76-83.DOI: 10.11930/j.issn.1004-9649.202505035

• Energy and Electricity Data Elements and Artificial Intelligence Applications • Previous Articles     Next Articles

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

DING Yi1,2(), WANG Chunliang3(), XI Yuewei2, HU Wenyan4, YANG Zhiping4(), GUO Xiyan4   

  1. 1. Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    2. SDIC Qinzhou No.2 Power Generation Co., Ltd., Qinzhou 535000, China
    3. SDIC Qinzhou Power Generation Co., Ltd., Qinzhou 535000, China
    4. National Engineering Research Center for Thermal Power Generation, North China Electric Power University, Beijing 102206, China
  • Received:2025-05-19 Revised:2025-12-02 Online:2026-01-13 Published:2026-01-28
  • Supported by:
    This work is supported by the Funds for Creative Research Groups of the National Natural Science Foundation of China (No.51821004).

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.

Key words: supercritical units, power generation loss compensation, steam supply revenue, spot market