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作 者:Dachuan Shi Yuejiao Guo Xinxin Gu Guozeng Feng Yang Xu Shaozhe Sun
机构地区:[1]Department of Mechanical Engineering,The University of Hong Kong,Hong Kong,China [2]School of Energy and Power,Jiangsu University of Science and Technology,Zhenjiang 212003,China [3]Joint International Research Laboratory of Green Building and Built Environment,Ministry of Education,Chongqing University 400044,Chongqing,China
出 处:《Building Simulation》2022年第7期1277-1294,共18页建筑模拟(英文)
基 金:This research described in this paper was supported by the Science and Technology Program of Jiangsu Province(No.BY2016073-10).
摘 要:Owing to the vulnerability of Invar to moisture in the membranes of LNG tanker cargo tank construction platforms(CTCPs),an energy-efficient ventilation system is needed to maintain a suitable thermal-moisture environment and a healthy workplace.However,the optimal distribution of supply and return devices that would guarantee worker satisfaction,air quality,and energy efficiency is unclear.Therefore,we conducted numerical simulations to determine the worker satisfaction indices(temperature,relative humidity,and carbon monoxide concentration satisfactions),air quality index(contaminant-removal efficiency),and energy efficiency index(heat-removal efficiency)with supply vane angles ranging from-75°to 0°and two return vent positions(the bottom return vent and the top return vent).The analytic hierarchy process(AHP)entropy weight method was employed to determine the optimal supply vane angle and return vent position for three design targets by considering these indices simultaneously.The results indicated that,with a supply angle of-45°and a bottom return vent,worker satisfaction and air quality were prioritized.Furthermore,a high energy performance of the ventilation system was achieved with a-15°supply angle and a bottom return vent.Moreover,a comprehensive graph of supply vane angles at both return heights,which could provide a reference for optimizing the ventilation system in LNG-CTCPs,is described.
关 键 词:LNG cargo tank construction platform numerical simulation air quality energy efficiency AHP-entropy weight method
分 类 号:TU834[建筑科学—供热、供燃气、通风及空调工程]
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