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首页> 外文期刊>Journal of Cleaner Production >Multi-scenario model for optimal design of seawater air-conditioning Systems under demand uncertainty
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Multi-scenario model for optimal design of seawater air-conditioning Systems under demand uncertainty

机译：需求不确定下海水空调系统优化设计的多场景模型

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Seawater air conditioning (SWAC) systems use deep seawater as a cooling utility.SWAC systems are receiving increasing attention as an integral component of sustainable cooling units of lodging complexes because of the availability of seawater, the substitution of chemicals refrigerants, low achievable temperature, low environmental impact, and large potential savings in energy consumption compared to conventional air-conditioning systems. The design of these systems depends mainly on the energy demand of each hotel in each month; however, there is uncertainty in this variable, since it depends on the season of the year, being lower in months of low occupancy and higher in months of high tourist occupancy. This paper presents a multi-objective optimization with a probabilistic formulation approach for designing these systems under seasonal energy demand uncertainty. The model seeks to meet the demands of air conditioning in hotels using deep seawater considering technical aspects and seeks to minimize the total annual cost while minimizing emissions of greenhouse gases. The results show the importance of accounting uncertainty in the design of these systems. (C) 2019 Elsevier Ltd. All rights reserved.
机译：海水空调（SWAC）系统使用深层海水作为制冷设备。由于海水的可用性，化学制冷剂的替代，可达到的温度低，温度低，SWAC系统作为住宿大楼可持续冷却装置的重要组成部分而受到越来越多的关注与传统的空调系统相比，对环境的影响更大，并且在能源消耗方面节省了大量潜在的成本。这些系统的设计主要取决于每个酒店每个月的能源需求。但是，该变量存在不确定性，因为它取决于一年中的季节，在低入住率月份中较低，而在高旅游人数月份中较高。本文提出了一种采用概率公式化方法的多目标优化，用于在季节性能源需求不确定性下设计这些系统。考虑到技术方面，该模型旨在满足使用深海水的酒店中空调的需求，并在将总年度成本降至最低的同时，将温室气体的排放降至最低。结果表明在这些系统的设计中会计不确定性的重要性。 （C）2019 Elsevier Ltd.保留所有权利。

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