Thermodynamic Degradation and Life-Cycle Carbon Mitigation of a 350 MW Supercritical Coal-Fired Unit During Deep Peak Shaving to 20% Load
This study couples a plant-validated steady-state boiler–turbine model of a 350 MW supercritical unit with life-cycle carbon accounting, renewable-accommodation sensitivity analysis, entropy-weighted TOPSIS, and a constrained load-adaptive operating strategy over 100–20% load. Maximum deviations are below 3% for boiler working-fluid temperatures and 1% for turbine extraction-steam temperatures. From 100% to 20% load, boiler exergy efficiency falls from 61.31% to 48.35%, while net coal consumption and unit-level carbon intensity rise from 293.8 to 391.7 g/kWh and 925 to 1235 gCO2/kWh, respectively. At 20% load, system-level life-cycle carbon intensity decreases from 987.0 to 279.8 gCO2/kWh as the effective renewable-energy accommodation ratio rises from 0% to 100%, crossing below the full-load baseline only above approximately 8.8%. TOPSIS relative closeness decreases from 0.7547 to 0.2453, showing that carbon gains do not eliminate the thermodynamic sacrifice of deeper peak shaving. Excess-air and auxiliary-equipment coordination cuts 20%-load net coal consumption by 5.5 g/kWh but leaves off-design penalties. The framework establishes the renewable-accommodation threshold and recoverable efficiency loss, supporting operating optimization and flexibility compensation.
Authors
- Jun Xiang (ORCID: https://orcid.org/0000-0002-0627-1528)
- Chonglin Liu
- Yong Ding (ORCID: https://orcid.org/0000-0002-5261-0324)
- Yi Wang (ORCID: https://orcid.org/0000-0002-8023-2586)
- Jun Xu (ORCID: https://orcid.org/0000-0003-2741-381X)
- Sheng Su
- Kai Xu
- Gang Xu
- Long Jiang
- Song Hu
Institutions
- China Shenhua Energy (China) (CN)
- CHN Energy (China)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Combustion Science and Technology
- Published
- 2026-09-16
- DOI
- https://doi.org/10.1080/00102202.2026.2732049
- Primary Topic
- Thermochemical Biomass Conversion Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Huazhong University of Science and Technology