Numerical analysis of the methods for reducing the energy use of air-conditioning systems in non-uniform indoor environments
Numerical analysis of the methods for reducing the energy use of air-conditioning systems in non-uniform indoor environments
复制标题
非均匀室内环境下空调系统能耗降低方法的数值分析
DOI:
10.1016/j.buildenv.2019.106442
复制
发表时间:
2020
影响因子:
7.4
通讯作者:
Baoming Li
中科院分区:
文献类型:
--
作者:
Chao Liang;Xianting Li;Xiaoliang Shao;Baoming Li
Previous studies have shown that using efficient airflow distributions for a non-uniform indoor environment can reduce the space cooling load significantly. However, the system cooling load (SCL) of air-conditioning is decreased only a little when the fresh-air ratio is small, causing the limited decrease in the air-conditioning system energy use (SEU). To fully exploit the energy-saving potentials of efficient airflow distributions to reduce the SEU, the SCL in a large-space building with different airflow distributions was simulated, and the SEU was compared between using a single cooling source and the multiple low-grade cooling sources to handle the air. The results show that (1) efficient airflow distributions actually provide the potentials of using the multiple low-grade cooling sources to handle the air; in contrast, using a single cooling source will abandon the potentials and result in little energy saving; (2) using multiple low-grade cooling sources for cooling the supply air, return air, and fresh air can make the potentials available, and the energy-saving rate could be 13.9%–27.5% in the numerical cases with a displacement ventilation; (3) although the increase in the SCL for inefficient airflow distributions is little when the fresh-air ratio is small, the grade of cooling source is increased significantly so that 22.9% more energy is needed in the numerical case with a short-circuit ventilation. This study will be beneficial for the design of air-conditioning systems in non-uniform indoor environments with higher energy-saving capacity.
登录
查看更多内容
DOI:
--
发表时间:
2009
期刊:
--
影响因子:
--
作者:
黄晨;蔡宁;高雪垒
通讯作者:
黄晨;蔡宁;高雪垒
影响因子:
10.4
作者:
V. Dorer;A. Weber
通讯作者:
V. Dorer;A. Weber
影响因子:
11.1
作者:
Wu Wentao;Yoon Nari;Tong Zheming;Chen Yujiao;Lv Yang;Aerenlund Torbjorn;Benner Jingru
通讯作者:
Benner Jingru
影响因子:
10.4
作者:
K. Chua;S. Chou
通讯作者:
K. Chua;S. Chou
影响因子:
15.9
作者:
N. Soares;Joana Bastos;L. D. Pereira;Ana Soares;A. Amaral;E. Asadi;Eugénio Rodrigues;F. B. Lamas;H. Monteiro;Marta B. Lopes;A. Gaspar
通讯作者:
N. Soares;Joana Bastos;L. D. Pereira;Ana Soares;A. Amaral;E. Asadi;Eugénio Rodrigues;F. B. Lamas;H. Monteiro;Marta B. Lopes;A. Gaspar