基于全年动态负荷的楼宇式天然气分布式能源系统优化研究

doi:10.3976/j.issn.1002-4026.2020.02.009

Abstract

Abstract: Focusing on the optimization of a building-type natural gas distributed energy system, in this study，the dynamic electric load averaging algorithm and multidimensional iterative algorithm were combined to determine the capacity of a basic generator set. The optimal power range of the generator set was determined to be 2297~2477 kW. Results of the analysis of the project’s energy consumption showed that the primary energy saving ratio of the optimized model increased by 14.3%, the economic cost of energy increased by 20.14%~20.85%, and the comprehensive energy utilization rate was greater than 70%.

Key words: distributed energy system, dynamic load, system optimization, capacity configuration

CLC Number:

TK01⁺8

LI Bo-wen, FENG Hong-qing, ZHANG Xiao-dong, LI Xue-meng. Research on the optimization of a building-type natural gas distributed energy system based on annual dynamic load[J].Shandong Science, 2020, 33(2): 54-62.

References 16

1	RAHMAN H A, MAJID M S, REZAEE JORDEHI A, et al. Operation and control strategies of integrated distributed energy resources: areview[J]. Renewable and Sustainable Energy Reviews, 2015, 51: 1412-1420. doi: 10.1016/j.rser.2015.07.055
2	ZENG R, LI H Q, JIANG R H, et al. A novel multi-objective optimization method for CCHP-GSHP coupling systems[J]. Energy and Buildings, 2016, 112: 149-158. doi: 10.1016/j.enbuild.2015.11.072
3	ZENG R, LI H Q, LIU L F, et al. A novel method based on multi-population genetic algorithm for CCHP-GSHP coupling system optimization[J]. Energy Conversion and Management, 2015, 105: 1138-1148. doi: 10.1016/j.enconman.2015.08.057
4	TIAN X, DENG S, KANG L G, et al. Study on heat and power decoupling for CCHP system: methodology and case study[J]. Applied Thermal Engineering, 2018, 142: 597-609. doi: 10.1016/j.applthermaleng.2018.07.040
5	魏大钧, 孙波, 赵峰, 等. 小型生物质沼气冷热电联供系统多目标优化设计与运行分析[J]. 电力系统自动化, 2015,39(12):7-12. doi: 10.7500/AEPS20141027001
6	陈洁, 杨秀, 朱兰, 等. 微网多目标经济调度优化[J]. 中国电机工程学报, 2013, 33(19): 57-66. doi: 10.13334/j.0258-8013.pcsee.2013.19.010
7	WANG X, JIN M, FENG W, et al. Cascade energy optimization for waste heat recovery in distributed energysystems[J]. Applied Energy, 2018, 230: 679-695. doi: 10.1016/j.apenergy.2018.08.124
8	黄兴华, 李赟. 联供系统设备配置与运行策略集成优化研究[J]. 太阳能学报, 2008, 29(1): 24-28. doi: 10.3321/j.issn:0254-0096.2008.01.005
9	ABDOLLAHI G, SAYYAADI H. Application of the multi-objective optimization and risk analysis for the sizing of a residential small-scale CCHPsystem[J]. Energy and Buildings, 2013, 60: 330-344. doi: 10.1016/j.enbuild.2013.01.026
10	陈旭, 杨振纲, 荆朝霞, 等. 微燃机冷热电联产系统的经济优化[J]. 南方电网技术, 2014, 8(2): 1-8. doi: 10.13648/j.cnki.issn1674-0629.2014.02.001
11	FENG L J, DAI X Y, MO J R, et al. Analysis of simplified CCHP users and energy-matching relations between system provision and userdemands[J]. Applied Thermal Engineering, 2019, 152: 532-542. doi: 10.1016/j.applthermaleng.2019.02.098
12	OLIVA H S, PASSEY R, ABDULLAH M A. A semi-empirical financial assessment of combining residential photovoltaics, energy efficiency and battery storagesystems[J]. Renewable and Sustainable Energy Reviews, 2019, 105: 206-214. doi: 10.1016/j.rser.2019.01.042
13	简毅文, 王瑞锋. 软件热模型影响负荷计算结果的比较研究[J]. 北京工业大学学报, 2010, 36(12): 1631-1636.
14	朱丹丹, 燕达, 王闯, 等. 建筑能耗模拟软件对比:DeST、EnergyPlus and DOE-2[J]. 建筑科学, 2012, 28(增刊2): 213-222. doi: 10.13614/j.cnki.11-1962/tu.2012.s2.017
15	FENG L J, DAI X Y, MO J R, et al. Performance assessment of CCHP systems with different cooling supply modes and operation strategies[J]. Energy Conversion and Management, 2019, 192: 188-201. doi: 10.1016/j.enconman.2019.04.048
16	中华人民共和国住房和城乡建设部.燃气冷热电三联供工程技术规范：CJJ 145—2010[S]. 北京：中国建筑工业出版社, 2010.

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Research on the optimization of a building-type natural gas distributed energy system based on annual dynamic load

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