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Energy, Carbon and Cost Performance of Building Stocks: Upgrade Analysis, Energy Labelling and National Policy Development

机译:建筑库存的能源,碳和成本绩效:升级分析,能源标签和国家政策制定

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The area of policy formulation for the energy and carbon performance of buildings is coming under increasing focus. A major challenge is to account for the large variation within building stocks relative to factors such as location, climate, age, construction, previous upgrades, appliance usage and type of heatiny/cooiing/lighting system. Existing policy-related tools that rely on simple calculation methods have a limited ability to represent the dynamic interconnectedness of technology options and the impact of possible future changes in climate and occupant behaviour. The use of detailed simulation tools to address these limitations in the context of policy development has hitherto been focused on the modelling of a number of representative designs rather than dealing with the spread inherent in large building stocks. Further, these tools have been research-oriented and largely unsuitable for direct use by policy-makers, practitioners and, ultimately, building owners/occupiers. This chapter summarizes recent initiatives that have applied advanced modelling and simulation in the context of policy formulation for large building stocks. To exemplify the stages of the process, aspects of the ESRU Domestic Energy Model (EDEM) are described. EDEM is a policy support tool built on detailed simulation models aligned with the outcomes of national surveys and future projections for the housing stock. On the basis of pragmatic inputs, the tool is able to determine energy use, carbon emissions and upgrade/running costs for any national building stock or subset. The tool has been used at the behest of the Scottish Building Standards Agency and South Ayrshire Council to determine the impact of housing upgrades, including the deployment of new and renewable energy systems, and to rate the energy/carbon performance of individual dwellings as required by the European Commission's Directive on the Energy Performance of Buildings (EC, 2002).
机译:建筑物能源和碳性能的政策制定领域正受到越来越多的关注。一个主要的挑战是要考虑到建筑存量相对于位置,气候,年龄,建筑,先前的升级,设备使用以及加热/冷却/照明系统类型等因素的巨大差异。现有的依赖于简单计算方法的与政策相关的工具在表示技术选择的动态相互联系以及未来气候和乘员行为的可能变化的影响方面能力有限。迄今为止,在政策制定过程中使用详细的仿真工具解决这些局限性的重点一直是对许多代表性设计进行建模,而不是处理大型建筑存量固有的价差。此外,这些工具已经面向研究,并且在很大程度上不适合决策者,从业人员以及最终建筑物的业主/居住者直接使用。本章总结了在针对大型建筑存量的政策制定过程中应用高级建模和模拟的最新举措。为了举例说明该过程的各个阶段,描述了ESRU国内能源模型(EDEM)的各个方面。 EDEM是建立在详细模拟模型基础上的政策支持工具,模拟模型与国家调查的结果和住房存量的未来预测相一致。根据实际的输入,该工具能够确定任何国家建筑存量或子集的能源使用,碳排放量和升级/运行成本。根据苏格兰建筑标准局和南艾尔郡议会的要求,该工具已被用于确定房屋升级的影响,包括部署新能源和可再生能源系统,并按以下要求评估单个住宅的能源/碳排放性能:欧洲委员会关于建筑物能源性能的指令(EC,2002年)。

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