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Simulation-based analysis of the use of PCM-wallboards to reduce cooling energy demand and peak-loads in low-rise residential heavyweight buildings in Kuwait

机译:基于模拟的分析使用pCm墙板来降低科威特低层住宅重型建筑的冷却能源需求和峰值负荷

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摘要

Between 2000 and 2015, annual electric peak demand in Kuwait has doubled to 15000 MW and the Ministry of Energy and Water expects this number to double once more by 2030 attributing 70% of this growth to new housing projects. Within this context, this manuscript evaluates the effect of incorporating PCM-wallboards in low-rise air-conditioned residential heavyweight buildings in Kuwait. Using an EnergyPlus single-zone model, a parametric study is performed considering several window-to-wall ratios (WWRs), different solar orientations and some PCM-wallboards configurations. The main study goals are to: (i) explore the validity of a single PCM-wallboard solution that can be universally applied throughout residential buildings in Kuwait; (ii) evaluate the impact of PCMwallboard on the reduction of both cooling demand and peak-loads; (iii) provide some guidelines for incorporating PCM-wallboards in Kuwait. Following an extensive parametric study, a 4 cm thick PCM-wallboard with a melting-peak temperature of 24 °C yielded the lowest annual cooling demand across a variety of room orientations and WWRs assuming cooling setpoint of 24 °C. Its implementation led to annual cooling energy savings of 4%–5% across all the case-studies. Regarding the impact throughout the year, cooling demand and peak-loads can be reduced by 5%–7% during summer months. The average daily cooling loads can be reduced by 5%–8%.
机译:从2000年到2015年,科威特的年度用电高峰需求翻了一番,达到15000 MW,能源和水务部预计,到2030年,这一数字将再翻一番,其中70%的增长将归功于新的住房项目。在此背景下,该手稿评估了将PCM墙板纳入科威特低层空调住宅重量级建筑的效果。使用EnergyPlus单区域模型,进行了参数研究,其中考虑了多个窗墙比(WWR),不同的太阳能方向以及某些PCM墙板配置。主要的研究目标是:(i)探索单一PCM墙板解决方案的有效性,该解决方案可以在科威特的整个住宅建筑中普遍使用; (ii)评估PCMwallboard对减少制冷需求和峰值负荷的影响; (iii)提供一些在科威特纳入PCM墙板的准则。经过广泛的参数研究,假设制冷设定点为24°C,熔点为24°C的4 cm厚PCM墙板在各种房间方向和WWR上的年制冷需求最低。它的实施使所有案例研究的年度冷却能耗节省了4%–5%。关于全年的影响,夏季的制冷需求和高峰负荷可以降低5%–7%。每日平均冷却负荷可降低5%–8%。

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