Analysis of installed capacity and operation strategy for distributed combined heating and power systems

doi:10.12028/j.issn.2095-4239.2018.0190

Abstract

Abstract: A distributed combined heating and power (CHP) system is an advanced energy system which is close to end users. The selection of system configuration, capacity and operation strategy has an important impact on energy saving, environmental protection and economics of the system. This research took a building as an example and analyzed the characteristics of the thermal and electric loads using real time data. At the same time, two different configurations were constructed for the CHP system using respectively a micro-turbine and an internal-combustion engine as the power source, and corresponding variable-condition energy balance models were established. Furthermore, the influence of the power unit capacity on the economics, energy saving and environmental protection of the office building was discussed under different operation strategies, such as Following Thermal Load and Following Electric Load, operating under varying operating conditions and rated operation, with and without heat storage, 24-hour continuous operation and early rising and late stopping. Meanwhile, a multi-objective evaluation index was used to evaluate the benefits of the system under different installed capacities and operation strategies, and a chaotic particle swarm optimization algorithm was introduced to find the maximum comprehensive benefits of the system. The results showed that the economic, energy-saving and environmental protection performance of the office building with the CHP system was better than the traditional single function model, and the enhancements were 22.85%, 17.45% and 25.06%, respectively.

Key words: distributed combined heating and power system, load character, configuration scheme, capacity optimization, particle swarm optimization algorithm

CLC Number:

TM611

ZHANG Jian, XU Yujie, LI Bin, CHEN Haisheng, JI Lv, GUO Cong. Analysis of installed capacity and operation strategy for distributed combined heating and power systems[J]. Energy Storage Science and Technology, 2019, 8(1): 83-91.

References

[1] 国家能源局. 国家能源局召开《能源发展"十三五"规划》及《可再生能源发展"十三五"规划》新闻发布会[J]. 电器与能效管理技术, 2017(1):74-75. National Energy Board. National Energy Board held the "Energy Development" thirteenth five years "planning" and "renewable energy development" thirteen five "planning" press conference[J]. Electrical and Energy Efficiency Management Technology, 2017(1):74-75.
[2] ZHANG Y, CAMPANA P E, YANG Y, et al. Energy flexibility from the consumer:Integrating local electricity and heat supplies in a building[J]. Applied Energy, 2018, 223:430-442.
[3] 金红光, 隋军, 徐聪, 等. 多能源互补的分布式冷热电联产系统理论与方法研究[J]. 中国电机工程学报, 2016, 36(12):3150-3160. JIN H G, SUI J, XU C, et al. Research on theory and method of mutienergy complementary distributed CCHP system[J]. Proceedings of the CSEE, 2016, 36(12):3150-3160.
[4] JING R, WANG M, BRANDON N, et al. Multi-criteria evaluation of solid oxide fuel cell based combined cooling heating and power (SOFC-CCHP) applications for public buildings in China[J]. Energy, 2017, 141:273-289.
[5] MOUSSAWI H A, FARDOUN F, LOUAHLIA H. Selection based on differences between cogeneration and trigeneration in various prime mover technologies[J]. Renewable & Sustainable Energy Reviews, 2017, 74:491-511.
[6] 任洪波, 吴琼, 任建兴. 基于需求侧视角的天然气分布式热电联产系统节能效益研究[J]. 中国电机工程学报, 2015, 35(17):4430-4438. REN H B, WU Q, REN J X, et al. Energy performance assessment of combined heat and power system based on demand-side viewpoint[J]. Proceedings of the CSEE, 2015, 35(17):4430-4438.
[7] BARBIERI E S, MELINO F, MORINI M. Influence of the thermal energy storage on the profitability of micro-CHP systems for residential building applications[J]. Applied Energy, 2012, 97(9):714-722.
[8] SMITH A D, MAGO P J, FUMO N. Benefits of thermal energy storage option combined with CHP system for different commercial building types[J]. Sustainable Energy Technologies & Assessments, 2013, 1:3-12.
[9] MAGO P J, CHAMRA L M, RAMSAY J. Micro-combined cooling, heating and power systems hybrid electric-thermal load following operation[J]. Applied Thermal Engineering, 2010, 30(8):800-806.
[10] VERDA V, COLELLA F. Primary energy savings through thermal storage in district heating networks[J]. Energy, 2011, 36(7):4278-4286.
[11] CHO H, MAGO P J, LUCK R, et al. Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme[J]. Applied Energy, 2009, 86(12):2540-2549.
[12] JIANG X Z, ZENG G, LI M, et al. Evaluation of combined cooling, heating and power (CCHP) systems with energy storage units at different locations[J]. Applied Thermal Engineering, 2016, 95:204-210
[13] WANG J J, ZHAI Z, JING Y, et al. Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems[J]. Applied Energy, 2011, 88(9):3097-3112
[14] 蒋润花, 曾蓉, 李洪强, 等. 考虑气候条件及建筑类型等因素的分布式冷热电三联产系统的多目标优化及评估[J]. 中国电机工程学报, 2016, 36(12):3206-3213. JIANG R H, ZENG R, LI H Q, et al. Multi-objective optimization and evaluation of distributed CCHP system considering influence of climate condition and building type[J]. Proceedings of the CSEE, 2016, 36(12):3206-3213.
[15] WANG J J, LI M, REN F K, et al. Modified exergoeconomic analysis method based on energy level with reliability consideration:Cost allocations in a biomass trigeneration system[J]. Renewable Energy, 2018, 123:104-116.
[16] WU J Y, WANG J L, LI S. Multi-objective optimal operation strategy study of micro-CCHP system[J]. Energy, 2012, 48(1):472-483.
[17] FENG L J, JIANG X Z, CHEN J, et al. Time-based category of combined cooling, heating and power (CCHP) users and energy matching regimes[J]. Applied Thermal Engineering, 2017, 127:266-274.
[18] LAI S M, HUI C W. Integration of trigeneration system and thermal storage under demand uncertainties[J]. Applied Energy, 2010, 87(9):2868-2880.
[19] WIDMANN C, LÖDIGE D, TORADMAL A, et al. Enabeling CHP units for electricity production on demand by smart management of the thermal energy storage[J]. Applied Thermal Engineering, 2016, 114:1487-1497.
[20] TICHI S G, ARDEHALI M M, NAZARI M E. Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm[J]. Energy Policy, 2010, 38(10):6240-6250.
[21] WANG J J, ZHANG C F, JING Y Y. Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China[J]. Applied Energy, 2010, 87(4):1247-1259.
[22] WANG J L, WU J Y, ZHENG C Y. Analysis of tri-generation system in combined cooling and heating mode[J]. Energy & Buildings, 2014, 72(2):353-360.
[23] Capstone Turbine Corporation. C200 high pressure NATGAS product literature[EB/OL].[2010-02-16]. http://www.capstoneturbine.com/products/C2005.
[24] WU Q, REN H B, GAO W J, et al. Multi-criteria assessment of building combined heat and power systems located in different climate zones:Japan-China comparison[J]. Energy, 2016, 103:502-512.
[25] KANG L G, YANG J H, AN Q S, et al. Complementary configuration and performance comparison of CCHP-ORC system with a ground source heat pump under three energy management modes[J]. Energy Conversion & Management, 2017, 135:244-255.
[26] WANG J J, MAO T, SUI J, et al. Modeling and performance analysis of CCHP (combined cooling, heating and power) system based on co-firing of natural gas and biomass gasification gas[J]. Energy, 2015, 93:801-815.
[27] WANG Z F, HAN W, ZHANG N, et al. Proposal and assessment of a new CCHP system integrating gas turbine and heat-driven cooling/power cogeneration[J]. Energy Conversion & Management, 2017, 144:1-9.
[28] 冯志兵, 金红光. 冷热电联产系统节能特性分析[J]. 工程热物理学报, 2006, 27(4):541-544. FENG Z B, JIN H G. Performance assessment of combined cooling, heating and power[J]. Journal of Engineering Thermophysics, 2006, 27(4):541-544.
[29] YANG G, ZHENG C Y, ZHAI X Q. Influence analysis of building energy demands on the optimal design and performance of CCHP system by using statistical analysis[J]. Energy & Buildings, 2017, 153:297-316.