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Design, exergy and exergoeconomic analysis and optimization of a CCHP + TES for the use in a complex building
Building Services Engineering Research and Technology ( IF 1.7 ) Pub Date : 2020-03-04 , DOI: 10.1177/0143624420911169
Khodadoost Rostami Zadeh 1 , Seyed Ali Agha Mirjalily 1 , Seyed Amir Abbas Oloomi 1 , Gholamreza Salehi 2
Affiliation  

The present paper aims at the optimization and exergy and thermoeconomic analyses of a combined cooling, heat, and power generation system equipped with a thermal energy storage for the use in a residential complex with a gas-fueled internal combustion engine as the prime mover. The system is optimized using the direct search method by minimizing annual cost in two cases of using/not using a thermal energy storage. In case of the use of a thermal energy storage, an engine with a capacity of 2 MW and an operating time of 4000 h are found to be optimal, but when a thermal energy storage is included, an engine with a capacity of 2 MW and an operating time of 5268 hours and a thermal energy storage with a capacity of 18.93 m3 are found to be the optimal options. Both systems are evaluated assuming selling/not selling surplus power to the public power grid. The best case for the performance of the system is to use a thermal energy storage and to sell surplus electricity to the grid. In this case versus the case of excluding the thermal energy storage, primary energy consumption, CO2 emission, operating cost of the system, and power purchase from the public grid are decreased by 20.8, 19.5, 14.3 and 17%, respectively while return on capital is increased by 3.1% resulting in 10.7% higher annual cost of the system.



中文翻译:

用于复杂建筑的CCHP + TES的设计,火用和能效分析和优化

本文旨在对配备有热能存储装置的制冷,热电联产发电系统进行优化,火用和热经济分析,以用于以燃气为动力的原动机的住宅小区。通过使用直接搜索方法优化了系统,方法是在使用/不使用热能存储的两种情况下将年度成本降至最低。在使用热能储存器的情况下,发现容量为2 MW且工作时间为4000 h的发动机是最佳的,但是当包含热能储存器时,容量为2 MW的发动机和运行时间为5268小时,蓄热能力为18.93 m 3被发现是最佳选择。评估两个系统时都假设要向公共电网出售/不出售剩余电力。系统性能的最佳案例是使用热能存储并将多余的电力出售给电网。在这种情况下,与不包括热能存储的情况相比,一次能源消耗,CO 2排放,系统的运行成本以及从公共电网购买的电能分别减少了20.8%,19.5%,14.3%和17%。资本增加了3.1%,导致该系统的年度成本增加了10.7%。

更新日期:2020-03-04
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