在炎热干旱的气候条件下,地面冷却管的最佳设计

V. Hanby, D. Loveday, F. Al-ajmi
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引用次数: 22

摘要

在许多炎热、干旱的气候中,家用空调的使用率很高,这对当地的发电提出了很高的要求。一种可以缓解这种需求的被动策略是部署地面冷却管,其中外部空气通过埋在地下的管道吸入建筑物/工厂。虽然这一原理在相当长的一段时间内已经为人所知,并且描述了许多实例安装,但还没有对设计参数对系统可行性的影响进行系统的调查。本文介绍了一种利用演化策略将系统的验证数值模型与约束优化方法相结合,对地面冷却管进行系统参数优化的方法。优化是基于热力学目标函数(最小化整个系统的外部能耗)和经济函数(管道的投资回收期)。虽然结果是针对科威特炎热、干旱的气候,但该方法具有普遍适用性,并说明了将性能模型与优化方法相结合在能源系统优化设计中的功能力量。实际应用:建筑和工厂模拟程序越来越被作为一种设计工具接受:用于确认拟议设计的性能或执行“如果?”的研究,以评估不同的设计参数或设备选择的影响。本文说明,如果设计问题可以在所有相关方面建模,将仿真程序与约束优化联系起来可以为设计师提供更多的决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The optimal design for a ground cooling tube in a hot, arid climate
In many hot, arid climates there is a high level of use of domestic air conditioning which can make heavy demands on local electricity generation. A passive strategy which could mitigate this demand is the deployment of ground cooling tubes in which external air is drawn into the building/plant via a tube buried below ground. Whilst this principle has been known of for a considerable time, and many example installations described, there has been no systematic investigation of the influence of the design parameters on the viability of the system. The paper describes a method for carrying out a systematic parametric optimization for a ground cooling tube by coupling a validated numerical model of the system with a constrained optimization method using an evolutionary strategy. Optimizations were based on a thermo-dynamic objective function (minimizing external energy consumption of the whole system) and an economic function (payback time for the tube). Whilst the results are specific to the hot, arid climate of the state of Kuwait, the methodology has universal applicability and illustrates the functional power of combining a performance model with an optimization method in producing optimized designs of energy systems. Practical application: Building and plant simulation programs are becoming increasingly accepted as a design tool: for confirming the performance of a proposed design or for carrying out ‘what if?’ studies to evaluate the effects of varying design parameters or equipment selection. This paper illustrates that, provided the design problem can be modelled in all relevant aspects, linking the simulation program to a constrained optimization can provide significantly more decision support to the designer.
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