氨气和沼气耦合下农村产业园综合能源系统低碳调度

韩飞燕; 韩凤舞; 赵云龙

doi:10.19912/j.0254-0096.tynxb.2025-1082

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氨气和沼气耦合下农村产业园综合能源系统低碳调度

更新时间：2026-07-22

- 氨气和沼气耦合下农村产业园综合能源系统低碳调度
- Vol. 47, Issue 6, Pages: 200-213(2026)
- 作者机构：
- 作者简介：
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- DOI：10.19912/j.0254-0096.tynxb.2025-1082
  CLC： TM73
- Online First：08 July 2026，
  
  Published：2026
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韩飞燕, 韩凤舞, 赵云龙. 氨气和沼气耦合下农村产业园综合能源系统低碳调度[J]. 2026, 47(6): 200-213.
DOI：

韩飞燕, 韩凤舞, 赵云龙. 氨气和沼气耦合下农村产业园综合能源系统低碳调度[J]. 2026, 47(6): 200-213. DOI： 10.19912/j.0254-0096.tynxb.2025-1082.

摘要

针对农村产业园区以化石能源为主的用能方式效率低、污染高问题

基于农村园区源荷特征

构建农村产业园区综合能源系统（PIES）模型。为促进可再生能源消纳和生物质利用

在PIES中引入并精细建模电制氨系统（P2A）和生物质厌氧发酵制气系统（AF）。考虑到厌氧发酵温度对产气速率的影响

将P2A的余热输送至AF构建P2A-AF耦合系统

提升了系统能效和经济性。在此基础上

对PIES主要用能过程进行精细碳排放建模

并纳入碳排放成本

建立了以总成本最小为目标的优化调度模型。仿真结果表明：相较于完全依赖上级能源市场购能的传统供能方案

所提PIES优化调度模型可使系统总运行成本降低31.56%

可再生能源本地消纳率提高34.92%

总碳排放降低3.58%。

Abstract

To address the low efficiency and high pollution associated with fossil-energy-dominated energy use in rural industrial parks

a park-level integrated energy system （PIES） model is established based on the source-load characteristics of rural parks. To promote renewable energy accommodation and biomass utilization

a power-to-ammonia system （P2A） and a biomass anaerobic fermentation gas production system （AF） are introduced into the PIES and modeled in detail. Considering the influence of anaerobic fermentation temperature on gas production rate

the waste heat from the P2A system is delivered to the AF system to construct a P2A-AF coupled system

thereby improving system energy efficiency and economy. On this basis

detailed carbon emission modeling is carried out for the main energy-use processes of the PIES

and carbon emission costs are incorporated to establish an optimal dispatch model with the minimum total cost as the objective. The simulation results show that the proposed system can improve energy economy by 31.56%

increase the local accommodation rate of renewable energy by 34.92%

and reduce total carbon emissions by 3.58%.

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references

袁合涛, 安彬. “双碳”目标下西部农村生活能源消费特征及碳排放分析[J]. 太阳能学报, 2024, 45(7): 278-285.

孙顶强, 梅玉琦, 杨馨越. 现代农业园区建设能否促进农村产业融合: 基于全国8325个农业园区的经验证据[J]. 中国农村观察, 2024(3): 39-61.

何伟, 陈波, 曾伟, 等. 面向绿色生态乡镇的综合能源系统关键问题及展望[J]. 中国电力, 2019, 52(6): 77-86, 93.

张时聪, 李涵钰, 刘志坚, 等. 考虑建筑屋顶光伏/光热和生物质耦合的农村综合能源系统研究[J]. 太阳能学报, 2025, 46(7): 93-103.

刘明浩, 霍红阳, 韩中合, 等. 基于双层随机优化的农村能源系统规划设计方法[J]. 可再生能源, 2023, 41(12): 1675-1684.

高建伟, 张艺, 高芳杰, 等. 农业综合能源系统多场景置信间隙决策低碳调度[J]. 电力建设, 2024, 45(5): 105-117.

赵振宇, 李炘薪, 包格日乐图. 园区综合能源系统动态多目标规划模型研究[J]. 太阳能学报, 2025, 46(5):213-226.

杨莘博, 潘昱树, 德格吉日夫, 等. 多方主体合作下农村园区综合能源系统运行优化及效益分配模型[J]. 科学技术与工程, 2023, 23(9): 3758-3768.

WANG Q J, XIAO Y F, TAN H, et al.Day-Ahead scheduling of rural integrated energy systems based on distributionally robust optimization theory[J]. Applied thermal engineering, 2024, 246: 123001.

黄扬琪, 何伟, 赵伟哲, 等. 计及动态响应特征的农村综合能源系统分层调控[J]. 电力系统及其自动化学报, 2022, 34(2): 122-129.

杨莘博, 谭忠富, 林宏宇, 等. 计及需求响应及储能聚合商的分布式农村清洁能源系统运行优化模型[J]. 系统工程理论与实践, 2022, 42(12): 3319-3334.

王守文, 叶金根, 徐丽洁, 等. 计及温控厌氧发酵和阶梯碳交易的农村综合能源低碳经济调度[J]. 电力系统保护与控制, 2024, 52(8): 88-97.

WEN D, AZIZ M.Design and analysis of biomass-to-ammonia-to-power as an energy storage method in a renewable multi-generation system[J]. Energy conversion and management, 2022, 261: 115611.

崔杨, 孙喜斌, 付小标, 等. 考虑电转氨和生物质废能转换的农村化工综合能源系统低碳调度方法[J]. 电网技术, 2024, 48(8): 3350-3360.

SANDEEP K C, KAMATH S, MISTRY K, et al.Experimental studies and modeling of advanced alkaline water electrolyser with porous nickel electrodes for hydrogen production[J]. International journal of hydrogen energy, 2017, 42(17): 12094-12103.

JIN S W, LI Y P.Analyzing the performance of electricity, heating, and cooling supply nexus in a hybrid energy system of airport under uncertainty[J]. Energy, 2023, 272: 127138.

WANG Y L, CAI C C, LIU C, et al.Planning research on rural integrated energy system based on coupled utilization of biomass-solar energy resources[J]. Sustainable energy technologies and assessments, 2022, 53: 102416.

LI C B, YANG H Y, SHAHIDEHPOUR M, et al.Optimal planning of islanded integrated energy system with solar-biogas energy supply[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2437-2448.

WANG N, LIU Z Y, HEIJNEN P, et al.A peer-to-peer market mechanism incorporating multi-energy coupling and cooperative behaviors[J]. Applied energy, 2022, 311: 118572.

严坤, 吕一铮, 郭扬, 等. 工业园区温室气体核算方法研究[J]. 中国环境管理, 2021, 13(6): 13-23.

牛浩森, 付学谦. 可再生能源为主体的农业能源互联网碳循环建模与优化[J]. 电力建设, 2022, 43(10): 1-15.

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