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Engineering a Predictive Energy Consumption Model for University Properties

机译:设计大学物业的预测能耗模型

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To decrease buildings' thermal and electrical energy consumption at public properties two general starting points can be separated regarding the investment costs: Either to increase the performance of the buildings' thermal envelope, assets and devices by modernization and replacement which results in high invests and long amortization periods, or by influencing the already installed assets and devices as well as inhabitant behavior which leads to lower invests and amortization times. At university properties most plans for energetic modernization of envelope, assets and devices are declined due to long amortization periods, the economic pressure at public funds or monumental protection. Therefore, this work discusses an interdisciplinary approach to optimize building operations by means of automation, economics and psychology. It presents the engineering process toward a mathematical model to predict the impact of each research discipline's method and interdisciplinary combinations on the building's energy consumption. Thereby, results at Saarland University can be transferred to further university or public properties.
机译:为了减少建筑物在公共场所的热能和电能消耗,可以将投资成本分为两个大致的起点:要么通过现代化和更换来提高建筑物的热围护结构,资产和设备的性能,要么需要大量投资,而且需要较长时间。摊销期,或者通过影响已经安装的资产和设备以及居民的行为,从而减少投资和摊销时间。在大学酒店,由于长期摊销,公共资金的经济压力或巨大的保护,大多数关于信封,资产和设备进行能源现代化的计划均被拒绝。因此,这项工作讨论了一种跨学科的方法,可以通过自动化,经济学和心理学来优化建筑物的运行。它向数学模型提出了工程过程,以预测每种研究学科的方法和跨学科组合对建筑物能耗的影响。因此,萨尔大学的成果可以转移到其他大学或公共场所。

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