Analysis of energy matching performance between CCHP systems and users based on different operation strategies

被引:41
作者
Feng, Lejun [1 ]
Dai, Xiaoye [2 ]
Mo, Junrong [1 ]
Ma, Yuezheng [1 ]
Shi, Lin [1 ]
机构
[1] Tsinghua Univ, Dept Energy & Power Engn, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Combined cooling; heating and power; Dimensionless loads matching parameters; Matching map; Improved hybrid load-following method; Boundaries of the suitable users; DIFFERENT CLIMATE ZONES; SOURCE HEAT-PUMP; POWER-SYSTEMS; GENERATION SYSTEMS; GAS-TURBINE; STORAGE UNITS; OPTIMIZATION; SOLAR; DEMANDS; CHP;
D O I
10.1016/j.enconman.2018.12.006
中图分类号
O414.1 [热力学];
学科分类号
摘要
The load matching performance between the load output of combined cooling, heating and power systems (CCHP) and user requirement is a key indicator to assess the systems; it is inherently influenced by the fluctuation load demand of users and its method of operation. In this research, five dimensionless load matching parameters are extracted to express the load matching relations. Further, a matching map is established based on the load matching parameters, which is demarcated as two zones according to the load demand of users. Meanwhile, the energy saving rate (ESR), CO2 emission reduction (CO2ER) and operation cost reduction (CostR) of the CCHP systems over the reference separate system are analyzed for the following the electric load (FEL) and following the thermal load (FTL) strategies. Additionally, an improved hybrid load-following method (FHL) is proposed based on the comparison between the FEL and FTL strategies. Finally, the boundaries of the suitable users are also summarized when ESR > 15% for different operation strategies and seasons.
引用
收藏
页码:60 / 71
页数:12
相关论文
共 47 条
[1]  
Administration of Quality Supervision Inspection and Quarantine of China National Standardization Management Committee, 337572017 GB ADM QUA
[2]   Novel performance curves to determine optimal operation of CCHP systems [J].
Afzali, Sayyed Faridoddin ;
Mahalec, Vladimir .
APPLIED ENERGY, 2018, 226 :1009-1036
[3]   Trigeneration: A comprehensive review based on prime movers [J].
Al-Sulaiman, Fahad A. ;
Hamdullahpur, Feridun ;
Dincer, Ibrahim .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2011, 35 (03) :233-258
[4]   Thermoeconomic analysis of storage systems for solar heating and cooling systems: A comparison between variable-volume and fixed-volume tanks [J].
Buonomano, Annamaria ;
Calise, Francesco ;
Ferruzzi, Gabriele .
ENERGY, 2013, 59 :600-616
[5]   A methodology for sizing a trigeneration plant in mediterranean areas [J].
Cardona, E ;
Piacentino, A .
APPLIED THERMAL ENGINEERING, 2003, 23 (13) :1665-1680
[6]   Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme [J].
Cho, Heejin ;
Mago, Pedro J. ;
Luck, Rogelio ;
Chamra, Louay M. .
APPLIED ENERGY, 2009, 86 (12) :2540-2549
[7]   Designing an optimal solar collector (orientation, type and size) for a hybrid-CCHP system in different climates [J].
Ebrahimi, Masood ;
Keshavarz, Ali .
ENERGY AND BUILDINGS, 2015, 108 :10-22
[8]   Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates [J].
Ebrahimi, Masood ;
Keshavarz, Ali .
ENERGY, 2013, 54 :291-301
[9]   Present a multi-criteria modeling and optimization (energy, economic and environmental) approach of industrial combined cooling heating and power (CCHP) generation systems using the genetic algorithm, case study: A tile factory [J].
Ershadi, Hamed ;
Karimipour, Arash .
ENERGY, 2018, 149 :286-295
[10]   Time-based category of combined cooling, heating and power (CCHP) users and energy matching regimes [J].
Feng, Lejun ;
Jiang, Xi Zhuo ;
Chen, Jing ;
Ma, Yuezheng ;
Shi, Lin .
APPLIED THERMAL ENGINEERING, 2017, 127 :266-274