工业园区循环流化床锅炉低热值煤掺烧优化

邓拓宇; 董智鑫

doi:10.19666/j.rlfd.202506104

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工业园区循环流化床锅炉低热值煤掺烧优化

更新时间：2026-03-24

- 工业园区循环流化床锅炉低热值煤掺烧优化
- Thermal Power Generation Vol. 55, Issue 3, Pages: 19-27(2026)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院
  2. 新能源电力系统全国重点实验室(华北电力大学)
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202506104
  CLC： TM621.2
- Published：2026
- 稿件说明：
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[1]邓拓宇,董智鑫.工业园区循环流化床锅炉低热值煤掺烧优化[J].热力发电,2026,55(03):19-27.
[1]邓拓宇,董智鑫.工业园区循环流化床锅炉低热值煤掺烧优化[J].热力发电,2026,55(03):19-27. DOI： 10.19666/j.rlfd.202506104.

DOI：10.19666/j.rlfd.202506104.

摘要

在“双碳”目标的推动下，工业园区综合能源系统的建立，以及大规模可再生能源并网对火电机组配煤灵活性要求更高。工业园区循环流化床锅炉的配煤过程分为炉外与炉内两个阶段。在炉外配煤阶段，针对低热值煤掺烧，建立了最小煤质偏差模型，采用基于混沌搜索的自适应变异粒子群算法将低热值煤掺配为符合锅炉煤质要求的入炉煤。在炉内配煤阶段，为保证负荷稳定的同时降低燃料成本，需动态调整不同负荷下入炉煤的掺烧比例。针对循环流化床锅炉炉内配煤问题，建立两阶段配煤优化模型：第一阶段根据化工厂周最大日负荷需求及典型光伏场景下机组出力需求，选择给煤机组合方式；第二阶段根据负荷需求以及给煤机优化结果建立负荷平衡约束，考虑炉内脱硫过程建立混煤含硫量约束，进行给煤量优化。对比春季典型辐照条件下不同配煤策略下的锅炉燃料成本，结果显示火电机组通过双煤种炉内掺烧可以使日燃烧成本降低43.6万元；对比煤仓改造前后掺烧三煤种燃料成本，结果显示改造后机组日燃料成本进一步降低。

Abstract

Driven by the “dual-carbon” goals

the establishment of integrated energy systems in industrial parks

and the large-scale renewable integration have imposed heightened flexibility requirements on coal blending for thermal power units. The coal blending process comprises two stages: pre-furnace and in-furnace operations. During pre-furnace blending

a minimum coal quality deviation model addresses low-calorific-value coal utilization. Chaos search-based adaptive mutation particle swarm optimization blends such coal into furnace-compliant mixtures meeting boiler specifications. For in-furnace blending

dynamic adjustment of coal ratios across load ranges ensures load stability while minimizing fuel costs. A two-stage optimization model resolves circulating fluidized bed(CFB) boiler blending: Stage 1 selects coal feeder combinations according to weekly peak chemical plant loads and PV generation scenarios; Stage 2 optimizes coal feed rates under load-balance constraints

incorporating desulfurization-driven sulfur content limits. Comparative analysis under spring irradiance conditions reveals that in-furnace blending of two coals reduces daily combustion costs by 4.36×105 yuan. Post-retrofit evaluation of blending of three coals demonstrates a further reduction in daily fuel costs.

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references

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