Optimizing the topologies of heating, ventilation, and air-conditioning water systems in supertall buildings: A pilot study

Feng Fan; Fu Yangyang; Hou Jin; Xu Peng

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Optimizing the topologies of heating, ventilation, and air-conditioning water systems in supertall buildings: A pilot study

机译：优化超级楼宇的加热，通风和空调水系统的拓扑：试验研究

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The vertical topologies of HVAC water systems in supertall buildings are one major concern, which yet has been determined in experience-based manners. Therefore, the current article proposes a computational optimization procedure to search optimal design of system topologies, as well as component sizing and control settings. To reduce the computational efforts, the vertical topologies are simplified by considering only major components (e.g., air-handling units, heat exchangers, and chillers).Since both electricity consumption and capital cost are primary concerns for system design, the optimization problem has been solved using a two-objective solver, Nondominated Sorting Genetic Algorithm II. This optimization problem is then validated using a supertall building in Shanghai, and it is concluded that the generated solutions are superior in terms of both electricity consumption and capital cost. Finally, parametric analyses are conducted to provide insight into the uncontrollable variables (i.e., building location, building characteristics) with the hope that system design can be facilitated.

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《Science and Technology for the Built Environment》 |2018年第5期|共11页
作者
Feng Fan; Fu Yangyang; Hou Jin; Xu Peng;
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作者单位

Tongji Univ Dept Mech &

Energy Engn 4800 Caoan Rd Shanghai 201804 Peoples R China;

Univ Miami Dept Civil Architectural &

Environm Engn Coral Gables FL 33124 USA;

Tongji Univ Dept Mech &

Energy Engn 4800 Caoan Rd Shanghai 201804 Peoples R China;

Tongji Univ Dept Mech &

Energy Engn 4800 Caoan Rd Shanghai 201804 Peoples R China;

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正文语种 eng
中图分类建筑基础科学;
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Optimizing the topologies of heating, ventilation, and air-conditioning water systems in supertall buildings: A pilot study

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