Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study
Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study
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DOI：
10.1016/j.apenergy.2017.01.095
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发表时间：
2017-05-01
期刊：
影响因子：
11.2
通讯作者：
Perino, Marco
中科院分区：
文献类型：
--
作者：
Kazas, Georgios;Fabrizio, Enrico;Perino, Marco
在过去几十年里，由于密集的城市化，城市地区的能源需求急剧增加。正因为如此，欧洲联盟已经引入了有关建筑物能源性能的指令，并将需求侧管理确定为优化能源需求的重要工具。需求侧管理，连同热能储存和可再生能源技术，迄今为止主要是在建筑规模上进行研究。为了研究和确定潜在的需求侧管理战略在城市规模，一个综合的城市规模的评估需要进行。DiDeProM，一个模型，可以用来生成详细的热能需求配置文件，在城市地区的规模，已经在目前的研究中开发。这是一个自下而上的工程模型，基于代表性建筑技术的样本。在城市规模的建筑节能性能的重要变量的参数分析，然后进行。这已经生成了具有小时时间分辨率的标准化热能需求曲线的数据库。该过程的最后一步包括生成详细的城市区域范围的总体热能需求曲线。DiDeProM被应用于都灵（意大利）的一个街区的建筑作为案例研究。在对真实的监测数据进行仿真模型校准后，对参考建筑的300个场景进行参数分析，生成具有小时时间步长的季节性热供暖能量需求曲线数据库。根据特定的汇总方法，从该数据库生成平均每小时加热曲线。DiDeProM应用程序表明，该模型在典型的小街区建筑物的规模下工作正常，并且能够在市区规模下生成具有详细时间分辨率的总热能需求曲线。这些配置文件将用于创建需求侧管理战略，该战略将在地区范围内整合热能储存和可再生能源技术。(C)2017爱思唯尔有限公司版权所有。
The energy demand in urban areas has increased dramatically over the last few decades because of the intensive urbanization that has taken place. Because of this, the European Union has introduced directives pertaining to the energy performance of buildings and has identified demand side management as a significant tool for the optimization of the energy demand. Demand side management, together with thermal energy storage and renewable energy technologies, have mainly been studied so far at a building scale. In order to study and define potential demand side management strategies at an urban scale, an integrated urban scale assessment needs to be conducted.DiDeProM, a model that can be used to generate detailed thermal energy demand profiles, at an urban district scale, has been developed in the current study. It is a bottom-up engineering model, based on samples of the representative building technique. A parametric analysis of the important variables of building energy performance at an urban scale has then been carried out. This has generated a database of normalized thermal energy demand profiles with an hourly time resolution. The final step of the process includes the generation of a detailed overall thermal energy demand profile at an urban district scale.DiDeProM was applied to a block of buildings in Turin (Italy) as a case study. After the calibration of the simulation model on real monitored data, a parametric analysis on 300 scenarios for a reference building was conducted, generating a database of seasonal thermal heating energy demand profiles with hourly time steps. An average hourly heating profile was generated from this database according to a specific aggregation approach. The DiDeProM application indicated that the model works properly at the scale of a typical small block of buildings, and it is able to generate a total thermal energy demand profile, with detailed time resolution, at an urban district scale. These profiles will be used to create demand side management strategies that will integrate thermal energy storage and renewable energy technologies at a district scale. (C) 2017 Elsevier Ltd. All rights reserved.