Passive Strategies for Improving Energy Efficiency of Buildings - Optimisation of a low-energy ventilation façade with novel integration of Helical Co
Passive Strategies for Improving Energy Efficiency of Buildings - Optimisation of a low-energy ventilation façade with novel integration of Helical Co
批准号:
2430941
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
建筑环境通过其供暖、通风和空调(HVAC)需求占全球能源消耗的30%-40%,这是人们日常生活中约90%在建筑物中度过的结果。这贡献了全球碳排放的40%-50%,因此需要彻底改变建筑居民消费能源的方式,以及提供和利用能源的技术和建筑服务。该项目旨在促进新的、创新的低能耗暖通空调技术的研究和开发。具体地说,本研究项目的主要目的是研究和优化一种低能耗的采暖和降温通风幕墙,该幕墙采用新型集成螺旋盘管换热装置(HCHTD),以英国为重点气候。该研究将集中于通过对螺旋线圈的各种几何特征进行详细的参数研究来优化HCHTD以实现最大效率。通过完成这一优化,以及对传统通风立面结构的重新设计以改善通风性能,我将能够生产出用于风洞测试和现场研究验证的最终概念的规模化原型。研究方法主要有文献综述法、计算流体力学(CFD)软件建模、风洞试验和生命周期评价(LCA)等。该项目的长期目标是在技术和经济上为专利和商业化开发这一概念。
英文摘要
The built environment represents a significant 30-40% of global energy consumption through its Heating, Ventilation and Air-Conditioning (HVAC) demands which are resultant of people spending around 90% of their daily lives in buildings. This contributes 40-50% of global carbon emissions, and therefore there needs to be a drastic change in the way that building inhabitants consume energy and, in the technology, and building services which provide and utilise it. This project addresses the motive for increasing the research and development of new, innovative low energy HVAC technologies. Specifically, the main aim of this research project is to investigate and optimise a low-energy heating and cooling ventilation façade with novel integration of Helical Coil Heat Transfer Device (HCHTD) using the UK as the focus climate. The research will focus on the optimisation of the HCHTD for maximum efficiency through a detailed parametric study of various geometric features of the helical coils. By completing this optimisation, as well as a re-design of the traditional ventilation façade structure to improve ventilation performance, I would be able to produce a scaled prototype of the final concept for wind tunnel test and field study validation purposes. The main methodologies involved in this research are literature review, Computational Fluid Dynamics (CFD) modelling through ANSYS package, Wind Tunnel tests and Life Cycle Assessment (LCA). The long-term objective of this project is to developing the concept technologically and economically for patent and commercialisation.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位: