Evaluating the potential of coupling the sunlight beam index with lumped parameter modelling in low energy building design
Evaluating the potential of coupling the sunlight beam index with lumped parameter modelling in low energy building design
批准号:
1809400
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:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
建筑部门占总能源消耗的30%以上(Perez等人,2008年)。玻璃窗和相关的太阳热量增加极大地影响了建筑物的能源消耗,特别是在气候变化影响导致气候变暖的情况下(Berger等人,2014;Hopfe和McLeod,2015)。特别是在低能耗建筑设计概念中(如Passivhaus),窗户在确保热舒适性方面发挥着重要作用(Hopfe和McLeod,2015)。通过玻璃围护结构进入的太阳辐射是决定总体冷负荷和居住者热舒适性的主要因素。然而,由于其瞬变和动态的性质,准确估计这种影响并不容易(Evola等人,2015年)。本研究的目的是探讨目前的稳态和动态方法计算日照暴露量的准确性。此外,结合履行机构和集中参数模型,这项研究将评估履行机构在准确表示空间中的太阳增益方面的贡献,并提出一个更详细的程序,可以纳入当前的方法(例如,Passivhaus)和未来的欧盟/CEN指南和立法。研究项目的目标是:分析当前稳态和动态建筑性能模拟方法中使用的建模和估计太阳曝光量的方法。使用集总参数建模方法,以便在使用SBI方法计算的日照暴露量和太阳热增量之间建立联系。将履行机构与集中参数建模方法相结合的有效性和准确性的调查。关于玻璃对低能耗建筑设计的影响,审查履行机构方法的整体性能和有效性,并建立一个可纳入当前/未来立法的模板。参考文献:Berger T.,Amann C.,Formayer H.,Korjen A.,Pospichal B.,Neururer C.,Smuny R.,2014。《奥地利维也纳城市位置和气候变化对办公建筑能源需求的影响》,《建筑与环境》第81期(2014),258-269 Evola G.Marletta L.,2015。用于计算太阳采光引起的冷负荷的太阳响应系数。应用能源160,2015,431-441。霍普夫,CJ。麦克劳德,RS,2015。《Passivhaus设计师手册》,RoutledeKircher Kevin J.,Zhang K.Max,2015。RC网络构建模型中集总电容近似精度的研究。《能源与建筑》108,2015,454-462.Mardaljevic J.,Roy N.太阳光光束指数。照明技术研究公司。48卷,2016,55-69.佩雷斯-隆巴德·L.,奥尔蒂斯·J,皱眉C.,2008年。建筑能耗信息综述,能源建设。40(2008),394-398。
英文摘要
The building sector is responsible for more than 30% of the total energy consumption (Perez et al., 2008). Glazing and the associated solar heat gains greatly affect a building's energy consumption, particularly under the warmer climatic conditions due to the effects of climate change (Berger et al., 2014; Hopfe and McLeod, 2015). Particularly in low energy building design concepts (e.g Passivhaus), the windows play a major role in ensuring thermal comfort (Hopfe and McLeod, 2015). The solar radiation admitted through the glazed envelope is a major factor in determining the total cooling load and thermal comfort of the occupants in general. However, it is not easy to estimate accurately this effect due to its transient and dynamic nature (Evola et al.,2015). AimsThe aim of the research project is to explore the accuracy of calculating sunlight exposure in current steady-state and dynamic methodologies. Furthermore, with the combination of the SBI and lumped parameter modelling, the research study is going to assess the contribution of the SBI in representing accurately the solar gains in a space and propose a more detailed procedure that could be incorporated into current methodologies (e.g. Passivhaus) and future EU/CEN guidelines and legislations.ObjectivesThe objectives of the research project are:Analysis of the methodology of modelling and estimating the solar exposure used in current steady-state and dynamic building performance simulation methods.Generation of a model in order to assess the accuracy of calculating sunlight accessibility using the aforementioned simulation methods. Use of the lumped parameter modelling methodology in order to establish a link between sunlight exposure, calculated using the SBI method, and solar heat gains. Investigation of the effectiveness and accuracy of coupling the SBI with the lumped parameter modelling methodology.Examination of the overall performance and effectiveness of the SBI methodology and establishment of a template that could be integrated into current/future legislations, regarding the effect of glazing on low energy building design.ReferencesBerger T., Amann C., Formayer H., Korjenic A., Pospichal B., Neururer C., Smutny R., 2014. Impacts of urban location and climate change upon energy demand of office buildings in Vienna, Austria, Building and Environment 81 (2014), 258-269Evola G. Marletta L., 2015. The Solar Response Factor to calculate the cooling load induced by solar gains. Applied Energy 160, 2015, 431-441.Hopfe, CJ., McLeod, RS, 2015. The Passivhaus Designers Manual, RoutledeKircher Kevin J., Zhang K. Max, 2015. On the lumped capacitance approximation accuracy in RC network building models. Energy and Buildings 108, 2015, 454-462.Mardaljevic J., Roy N., 2016. The sunlight beam index. Lighting Res. Technol. Vol. 48, 2016, 55-69.Perez-Lombard L., Ortiz J., Pout C., 2008. A review on buildings energy consumption information, Energy Build. 40 (2008), 394-398.
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