Optimal interior design for naturally ventilated low-income housing: a design-route for environmental quality and cooling energy saving

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Advances in Building Energy Research Pub Date : 2020-10-01 DOI:10.1080/17512549.2019.1626764
A. Sarkar, R. Bardhan
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引用次数: 23

Abstract

ABSTRACT This study intends to optimize the interior design layout of a low-income resettlement tenement unit that would deliver improved indoor environment experience, and harness high cooling energy saving potential by maximizing natural ventilation utilization. A mixed-mode research framework including ‘Sampling based parametric modelling’ followed by ‘computational fluid dynamics (CFD) simulations’ and ‘Multi-objective optimization’ was employed to derive at an optimal design layout (ODL) with enhanced experiential environmental quality in natural ventilation condition. The computational modelling was validated with environmental sensor data and occupant behaviour questionnaire survey. The CFD simulations coupled with energy transfer model was adopted here to estimate the energy saving potential of the naturally ventilated ODL. The final ODL was able to save 470.897 kWh of cooling energy annually with an annual cost saving of INR 3177.65, thereby saving 26.48% of the monthly average income of a typical low-income household. The results can aid building designers towards the conception of eco-sustainable habitat design guidelines.
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自然通风低收入住房的最佳室内设计:一条环境质量和制冷节能的设计路线
摘要本研究旨在优化低收入安置公寓单元的室内设计布局,以改善室内环境体验,并通过最大限度地利用自然通风来利用高制冷节能潜力。采用混合模式研究框架,包括“基于采样的参数建模”,然后是“计算流体动力学(CFD)模拟”和“多目标优化”,以得出在自然通风条件下具有增强体验环境质量的最佳设计布局(ODL)。计算模型通过环境传感器数据和居住者行为问卷调查进行了验证。本文采用CFD模拟与能量传递模型相结合的方法来估计自然通风ODL的节能潜力。最终ODL挽救了470.897 每年可节省3177.65印度卢比的冷却能源千瓦时,从而节省典型低收入家庭月平均收入的26.48%。研究结果可以帮助建筑设计师实现生态可持续栖息地设计指南的概念。
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来源期刊
Advances in Building Energy Research
Advances in Building Energy Research CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.80
自引率
5.00%
发文量
11
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