4.7 Article

Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller

期刊

ENERGY
卷 252, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124094

关键词

Weather-based energy system; Water-cooled chiller types; Renewable energy penetration ratio; Ratio and capacity optimization; Sensitivity analysis

资金

  1. National Natural Science Foundation of China [22109022, 51736006]
  2. Fundamental Research Funds for the Central Universities [2242021k30028]

向作者/读者索取更多资源

A weather-based energy system configuration is proposed in this study. By optimizing the capacities of different devices with the goals of energy saving and increasing renewable energy utilization, the ideal system configuration is found. The results show that increasing energy saving ratio improves cost saving benefits, but reduces the renewable energy penetration rate.
A weather-based energy system consisting of a tri-generation unit, photovoltaics, and water-cooled chiller is proposed here for improving the energy and environmental performance. Together with capacities of other devices, the cooling ratio, and capacities of different types of chiller are optimized to find the ideal system configuration setting the energy and cost savings and renewable energy use as the objectives. In addition, daily and monthly operating modes with the optimal system composition are analyzed followed by a sensitivity analysis. The results show that increasing energy saving ratio improves the cost saving benefits, but the renewable energy penetration rate would decrease due to lower grid electricity consumption. The ideal system configuration in ratio optimization process has a higher gas turbine and chiller capacity resulting in higher performance than the system with capacity optimization process, or 2.7%, 1.6%, and 0.2%-unit higher of the considered indices. When increasing the specific cost of the chiller, cost saving ratio of the ideal system decreases, while the impacts on the energy savings and renewable energy use are lower. The analysis indicates that the price of grid electricity is the most sensitive factor, while the influence of carbon cost is slight.

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