A visual energy performance assessment and decision support tool for dwellings

A visual energy performance assessment and decision support tool for dwellings
复制标题

住宅可视化能源绩效评估和决策支持工具

DOI:
10.1186/2213-7459-1-7
复制
发表时间:
2013
影响因子:
--
通讯作者:
N. Dawood
N. Dawood
中科院分区:
--
文献类型:
--
作者:
Amit Mhalas;M. Kassem;T. Crosbie;N. Dawood

文献摘要

参考文献

被引文献

相似文献

背景英国的二氧化碳(CO2)减排目标是到2020年减排20%,到2050年减排80%。英国的住房是欧洲能源效率最低的国家之一。家庭使用的能源占英国能源使用和二氧化碳排放的四分之一以上。因此,必须改善现有住房的能源性能,充分利用能源效率和可再生能源干预措施。联合王国制定了若干政策和倡议,以改善住房的能源性能,并有一些数据库保存有关住房状况的信息。然而,在这方面,现有的方法和工具不允许决策者评估的环境和经济效益的二氧化碳减排战略在邻里水平。MethodsThis研究提出了一种方法,将这些能源数据库与可视化系统和多进行标准决策分析,以便能够评估建筑和工业部门各种能源效率和可再生能源干预措施的环境和财务影响。邻里水平。该方法是原型的概念验证工具,验证和测试的实证案例研究与地方当局和社会housing providers.ResultsThe验证研究比较了所提出的方法估计的住宅的能源性能与实际调查计算的能源性能,并确认结果是一致的。案例研究表明,该方法和原型可以可靠地利用各种能源效率和可再生能源interventions.ConclusionThe研究结果表明,该工具是特别有用的城市规划者,地方当局和社会住房提供商的环境和财务影响进行评估。他们可以与能源供应商、建筑工程师和建筑师一起沿着就能源政策和倡议的实施做出明智的决定。在研究中开发的工具和本文提出的可以有助于实现二氧化碳减排目标。
BackgroundThe target for carbon dioxide (CO2) emissions reduction in the UK is set at 20% by 2020 and 80% by 2050. The UK housing stock is one of the least energy efficient in Europe. The energy used in homes accounts for more than a quarter of energy use and carbon dioxide emissions in Great Britain. Therefore, it is imperative to improve the energy performance of the existing housing stock and fully exploit energy efficiency and renewable energy interventions. The UK has developed several policies and initiatives to improve the energy performance of the housing stock and there are a number of databases that hold information about the condition of the housing stock. However, existing approaches and tools do not allow decision makers to assess the environmental and economic effectiveness of CO2 reduction strategies at the neighbourhood level.MethodsThis research presents a methodology that integrates these energy databases with visualisation systems and multi-criteria decision analyses to enable the evaluation of the environmental and financial implications of various energy efficiency and renewable energy interventions at both building and neighbourhood levels. The methodology is prototyped in a proof-of-concept tool which is validated and tested in an empirical case study with local authorities and social housing providers.ResultsThe validation study compared the energy performance of the dwellings estimated by the proposed methodology with the energy performance calculated from actual survey and confirmed that the results are consistent. The case study demonstrated that the methodology and the prototype can be reliably utilised to evaluate the environmental and financial implications of various energy efficiency and renewable energy interventions.ConclusionThe findings illustrate that the tool is particularly useful for town planners, local authorities and social housing providers. They can make informed decisions about the implementation of energy policies and initiatives along with energy suppliers, building engineers and architects. The tool developed in the research and presented in this paper can contribute to meeting CO2 emission reduction targets.
DOI: 10.1016/j.envsoft.2011.04.005
发表时间: 2011-10
期刊: Environ. Model. Softw.
影响因子: --
作者:
V. Cheng;K. Steemers
通讯作者: V. Cheng;K. Steemers