Spatial distribution of internal heat gains: A probabilistic representation and evaluation of its influence on cooling equipment sizing in large office buildings

• DOI: 10.1016/j.enbuild.2017.01.044
• Publication Date: 2017-01-18T18:32:32Z
• Authors: Qi Zhang; Da Yan; Jingjing An; Tianzhen Hong; Wei Tian; Kaiyu Sun
• Keywords: Building & Construction; Built environment and design; Chiller plant; 02 engineering and technology; Spatial diversity; 7. Clean energy; Engineering; Built Environment and Design; Architecture; Air handling unit; 0202 electrical engineering, electronic engineering, information engineering; Equipment sizing; Stochastic Spatial distribution; Internal heat gain

Internal heat gains from occupants, lighting, and plug loads are significant components of the space cooling load in an office building. Internal heat gains vary with time and space. The spatial diversity is significant, even for spaces with the same function in the same building. The stochastic nature of internal heat gains makes determining the peak cooling load to size air-conditioning systems a challenge. The traditional conservative practice of considering the largest internal heat gain among spaces and applying safety factors overestimates the space cooling load, which leads to oversized air-conditioning equipment and chiller plants. In this study, a field investigation of several large office buildings in China led to the development of a new probabilistic approach that represents the spatial diversity of the design internal heat gain of each tenant as a probability distribution function. In a large office building, a central chiller plant serves all air handling units (AHUs), with each AHU serving one or more floors of the building. Therefore, the spatial diversity should be considered differently when the peak cooling loads to size the AHUs and chillers are calculated. The proposed approach considers two different levels of internal heat gains to calculate the peak cooling loads and size the AHUs and chillers in order to avoid oversizing, improve the overall operating efficiency, and thus reduce energy use.