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CHOICE OF ENERGY DATA IN ENVIRONMENTAL ASSESSMENT OF THE BUILT ENVIRONMENT

机译:建立环境的环境评估中的能源数据选择

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Life cycle oriented methods are increasingly used for environmental assessments (EAs) of the built environment. However, many assumptions are made in such assessments, potentially influencing the results and making the assessment more ambiguous. To increase the reliability of EAs, consequences of the assumptions made have to be better understood. Since energy use in the operation and maintenance phase is an important factor decisive for the overall environmental performance of a building, the purpose of this study is to investigate how the selection of heat and electricity mix affects the assessed environmental performance of buildings. It also aims to suggest how to choose heat and electricity data in EAs of the built environment in general.nnApplying four different modes of electricity production and two different modes of heat production in a case study of three different buildings with different technical solutions for heat and electricity supply, the study show that choices of heat andelectricity mix have significant influence on the final results of the EA. Regarding the choice of heat and electricity mix in an EA of buildings and the built environment, it is argued that both average and marginal data on electricity production should be used in general. As for data on district heat production, it is recommended to use data on the average production in the specific, local district heating system in general. Finally, it is argued that consequences of the assumptions made should be explicitly communicated in the EA report, so as to let the decision-makers rather than the analysts make the evaluation.
机译:面向生命周期的方法越来越多地用于建筑环境的环境评估(EA)。但是,此类评估中有许多假设,可能会影响结果并使评估更加模棱两可。为了提高EA的可靠性,必须更好地理解所做假设的结果。由于运行和维护阶段的能源使用是决定建筑物整体环境性能的重要因素,因此本研究的目的是研究热电混合的选择如何影响建筑物的评估环境性能。它还旨在建议一般如何在建筑环境的EA中选择热量和电力数据。nn在三种不同的具有不同热技术解决方案的建筑物的案例研究中,应用四种不同的发电方式和两种不同的发热方式。在电力供应方面,研究表明热电混合的选择对EA的最终结果有重大影响。关于建筑物和建筑环境的EA中的热能和电力混合的选择,有人认为一般应使用电力生产的平均和边际数据。至于区域供热的数据,建议通常使用特定局部区域供热系统的平均产量数据。最后,有人认为,所做假设的后果应在EA报告中明确传达,以便让决策者而不是分析师进行评估。

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