考虑余热梯级利用的综合能源系统减碳协同优化模型

洪明志; 吴杰康; 罗伟明; 孙烨桦; 方梓康; 詹耀国; 黄泽杭

doi:10.13648/j.cnki.issn1674-0629.2025.01.013

欢迎来到能源电力期刊网！

English Version 读者登录期刊登录

您当前的位置：

首页 >

文章列表页 >

考虑余热梯级利用的综合能源系统减碳协同优化模型

新能源与微电网 | 更新时间：2025-09-24

- 考虑余热梯级利用的综合能源系统减碳协同优化模型
- 2
- 南方电网技术 2027年19卷第1期页码：130-140
- 作者机构：
  
  广东工业大学自动化学院
- 作者简介：
- 基金信息：
  
  广东省基础与应用基础研究基金区域联合基金项目--粤港澳研究团队项目（2020B1515130001）
- DOI：10.13648/j.cnki.issn1674-0629.2025.01.013
  中图分类号：
- 纸质出版日期：2027
- 稿件说明：
移动端阅览
洪明志, 吴杰康, 罗伟明, 等. 考虑余热梯级利用的综合能源系统减碳协同优化模型[J]. 南方电网技术, 2027,19(1):130-140.

布雷顿循环 Coordinative Optimization Model for Carbon Reduction in Integrated Energy Systems Considering Cascading Utilization of Waste Heat HONG Mingzhi, WU Jiekang, LUO Weiming, et al. 2[J]. 2027, 19(1): 130-140.
洪明志, 吴杰康, 罗伟明, 等. 考虑余热梯级利用的综合能源系统减碳协同优化模型[J]. 南方电网技术, 2027,19(1):130-140. DOI： 10.13648/j.cnki.issn1674-0629.2025.01.013.

布雷顿循环 Coordinative Optimization Model for Carbon Reduction in Integrated Energy Systems Considering Cascading Utilization of Waste Heat HONG Mingzhi, WU Jiekang, LUO Weiming, et al. 2[J]. 2027, 19(1): 130-140. DOI： 10.13648/j.cnki.issn1674-0629.2025.01.013.

摘要

针对垃圾焚烧电厂能量利用率低及余热潜力未被充分挖掘问题，引入余热梯级利用技术，提出一种考虑垃圾电厂与余热梯级利用技术的综合能源系统减碳协同优化模型。首先，构建含垃圾电厂的系统框架，分析垃圾电厂电热气联产可行性，构建电厂能流关系模型，并对渗滤液厌氧处理过程进行数学建模。其次，引入余热梯级利用技术设计余热回收系统，对底灰固体高温颗粒设计超临界 CO2布雷顿循环系统进行余热回收。然后，通过碳核算模型计算碳排放量并结合碳交易机制限制碳排放，建立以系统总运行成本最小化为目标函数的综合能源系统减碳协同优化模型。算例分析结果表明该模型不仅降低了购能成本和对外能源依赖程度，还实现了减碳效果，有效证明模型具备经济-环保效益。

Abstract

In response to the problem of low energy utilization and under-exploitation of waste heat potential in waste-to-energy plants

a carbon-reduction coordinative optimization model of the integrated energy system considering waste-to-energy plants and waste heat cascading utilization technology is proposed by introducing waste heat gradient utilization technology. Firstly

the system framework of a waste-to-energy plant is constructed

the feasibility of combined electricity

heat and gas production in waste-toenergy plants is analyzed

the energy flow relationship model of the plant is constructed

and the anaerobic leachate treatment process is mathematically modelled. Secondly

waste heat recovery system is designed by introducing waste heat cascading technology

and a supercritical CO 2 Brayton cycle system is designed for waste heat recovery of solid high temperature particles of bottom ash. Then

carbon emissions are calculated through a carbon accounting model and combined with a carbon trading mechanism to limit carbon emissions

and a coordinative optimization model for carbon reduction of the integrated energy system is established with the minimization of total system operating costs as the objective function. The numerical analysis results show that the model not only reduces the cost of energy purchase and external energy dependency

but also achieves carbon reduction

effectively demonstrating the economic and environmental benefits of the model.

关键词

Keywords

references

康重庆，杜尔顺，郭鸿业，等.新型电力系统的六要素分析[J].电网技术，2023，47(5):1741-1750.

习近平.在第七十五届联合国大会一般性辩论上的讲话[R].北京：中华人民共和国国务院，2020.

李强，王璇，琚诚，等.基于广义储能的多时间尺度综合能源系统优化调度模型[J].南方电网技术，2024，18(9):117-125，137.

陈炎森，王鹏宇，杨义，等.基于混合自动机的综合能源系统状态转移空间建模[J].南方电网技术，2023，17(1):103-113.

DE CAMPOS V A F， SILVA V B， CARDOSO J S， et al. A review of waste management in Brazil and Portugal： waste-toenergy as pathway for sustainable development[J]. Renewable Energy， 2021(178):802-820.

HAN X， CHANG H， WANG C， et al. Tracking the life-cycle greenhouse gas emissions of municipal solid waste incineration power plant： a case study in Shanghai[J]. Journal of Cleaner Production， 2023(398): 136635.

JU L， YIN Z， ZHOU Q， et al. Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture， power-to-gas， and waste incineration power in rural areas[J]. Applied Energy， 2022(310): 118618.

WU Yunna ， TAO Yao ， DENG Zhongqing ， et al. A fuzzy analysis framework for waste incineration power plant comprehensive benefit evaluation from refuse classification perspective[J]. Journal of Cleaner Production， 2020(258): 1 -1.

AGHAPOUR SABAGH F， HOSSAINPOUR S， POURHEMMATI S. Energy， exergy， and economic evaluation of integrated waste incineration facility with a thermal power plant[J]. Energy Conversion and Management： X， 2023 (20): 100434.

黄婧杰，刘镂志，殷旭锋，等.碳循环利用的垃圾焚烧电厂-烟气处理-P2G协调优化运行[J].中国电力，2022，55(3):152-158.

HUANG W， MAREFATI M. Development， exergoeconomic assessment and optimization of a novel municipal solid wasteincineration and solar thermal energy based integrated power plant： An effort to improve the performance of the power plant [J]. Process Safety and Environmental Protection， 2023(172): 562-578.

ZHENG W， XU Z， SHAO Z， et al. Optimal dispatch of nearlyzero carbon integrated energy system considering waste incineration plant-carbon capture system and market mechanisms[J]. International Journal of Hydrogen Energy， 2023，48(69): 27013-27031.

JIA D， SHEN Z， LI X， et al. Bi-level scheduling model for a novel virtual power plant incorporating waste incineration power plant and electric waste truck considering waste transportation strategy[J]. Energy Conversion and Management， 2023(298): 117773.

蒋文化，陈刚，于玉彬，等.新AB工艺在垃圾渗滤液处理领域的应用[J].给水排水，2023，59(1):61-65.

LIU C， HUANG Y， WANG X， et al. Experimental study on adsorption of PbCl2 and CdCl2 on kaolin modified by leachates from municipal solid waste incineration power plant [J]. Chemosphere， 2023(340): 139970.

WANG L， TELES M P R， YU H， et al. Waste incineration and heat recovery hybridized with low-focus fresnel lens solar collectors for sustainable multi-generation； a thorough technoeconomic-environmental analysis and optimization [J]. Chemosphere， 2023(346): 140409.

钟吴君，潘轩，范文帅，等.含余热回收装置及压缩式热泵的垃圾焚烧电厂能效优化[J].电力系统及其自动化学报，2021，33(3):117-124.

PAN M， LU F， ZHU Y， et al. 4E analysis and multiple objective optimizations of a cascade waste heat recovery system for waste-to-energy plant[J]. Energy Conversion and Management， 2021(230):151210.

LIM L H， TAN P， CHAN W P， et al. A techno-economic assessment of the reutilisation of municipal solid waste incineration ash for CO capture from incineration flue gases by calcium looping[J]. Chemical Engineering Journal， 2023， 464： 142567.

栗劲松.基于LNG和生活垃圾多能互补的综合能源系统性能研究[D].济南：山东大学，2022.

ZHAO H， CAO Y， WANG X， et al. Distributionally robust optimization for dispatching the integrated operation of rural multi-energy system and waste disposal facilities under uncertainties[J]. Energy for Sustainable Development， 2023 (77): 101340.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

数据-模型混合驱动的数据中心综合能源系统优化调度综述

面向能源互联网的综合能源系统规划研究综述