Incorporating Climate Change Projections into Building design: A Qualitative Study

Incorporating Climate Change Projections into Building design: A Qualitative Study
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将气候变化预测纳入建筑设计:定性研究

DOI:
10.3384/ecp11057604
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发表时间:
2011
影响因子:
1.7
通讯作者:
P. Banfill
P. Banfill
中科院分区:
工程技术4区
文献类型:
--
作者:
M. Gul;G. Menzies;P. Banfill

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英国未来的气候无法准确预测,这反映在当前的英国气候预测(UKCP09)中,这些预测是概率性的。预计传统的建筑设计方法将不能充分反映未来变暖的影响,因此需要指导,通过使建筑在热上更舒适来克服未来过热的问题。本文介绍的研究涉及定性调查,旨在了解建筑设计专业人员的需求和偏好,以开发一种易于使用的配方,以充分确定采暖、通风和空调(HVAC)工厂的规模。它将作为专业建筑服务工程师与研究概率天气数据的研究小组和建筑模拟程序包之间的接口。本次调查采用了方法三角的定性研究方法,指的是使用一种以上的方法收集数据。在这里,将使用的三个研究线索是问卷,半结构访谈和焦点小组。这项工作正在进行中,分析工作定于2012年完成。本文主要集中于上述定性方法的一些初步结果,仅针对住宅建筑。
The UK climate of the future cannot be predicted with certainty and this is reflected in the current UK Climate Projections (UKCP09), which are probabilistic in nature. It is anticipated that the conventional approaches to building design will not adequately represent the effects of future warming and therefore guidance is required to overcome future overheating of a building by making it thermally more comfortable. The study presented here relates to a qualitative investigation and aims to draw out the needs and preferences of building design professionals to develop an easy to use formulation for adequately sizing Heating, Ventilation and AirConditioning (HVAC) plants. It will serve as an interface between professional building services engineers and the research team working on probabilistic weather data and a building simulation package. This investigation deploys a qualitative research approach of Methodological triangulation, which refers to the use of more than one method for gathering data. Herein, the three strands of research that will be used are the questionnaire, semi structured interviews and focus groups. This work is ongoing and the analysis is due for completion in 2012. This paper focuses mainly on some of the initial findings of the qualitative approaches mentioned above for domestic buildings only.
模拟动态建筑模拟的统计技术,用于未来概率气候中的过热分析
DOI: 10.1080/19401493.2010.531144
发表时间: 2011
影响因子: 2.5
作者:
Patidar S
通讯作者: Patidar S