Estimating the Heating Demand of buildings in Urban-scale and defining the Data Challenges in scaling up from Buildings to Cities

本博士将研究城市尺度能源建模的数据需求，更具体地说，是对供暖需求的估计，以及最有效的创新策略，以便能够提出一个具体的数据集和策略，并迅速翻新整个城市，这样我们就能更多地了解这一领域，决策者可以更容易地规划城市尺度的改造，从而有效地应对未来气候变化的气候情景。这个博士项目的目的是评估样本地区建筑物的供暖需求，以便就城市建模最敏感的建筑物和城市环境的特征制定所需的数据收集建议。因此，得出的一些研究问题如下：城市规模的能源建模所需的数据集是什么？评估城市能源绩效的最佳技术是什么？哪个是城市改造最有效的步骤顺序？（制定翻新战略）在未来的气候情景下，以高能效为特征的地区在未来是否具有能源效率？研究项目的目标是：1。了解城市或区域能源模型的政策导向目标。换句话说，就是已经设定的目标和实现这些目标所需要的策略。定义UBEM.3的数据需求。通过敏感性分析，检查对建筑物能源性能影响最大的参数。检查这些参数可能的数据来源，并评估它们在最终输出中的影响。考虑到未来的气候情况，提供有关改造策略的建议。

This PhD will examine the data requirements for the urban scale energy modelling, and more specifically for the estimation of heating demand, and the most effectiverenovation strategies in order to be able to suggest a specific dataset and strategy, and to refurbish whole cities rapidly, so that we will know more about this field and the desicion makers could plan the renovation at urban scale easier for tackling effectively the future climate scenarios about climate change.The aim of this PhD project is to evaluate the heating demand of buildings in a sample region, in order to formulate suggestions for the required data collection on the features of buildings and the urban environment to which the urban modelling is most sensitive.Hence, some research questions that are resulted are the following:What is the dataset that is needed for energy modelling at city scale?What is the best technique to estimate the city energy performance?Which is the most efficient order of the steps needed for the renovation of cities? (build a refurbishment strategy)Will regions that are characterized by a high energy performance rate be energy efficient in future regarding future climate scenarios?The objectives of the research project are:1. To understand the policy-led targets for city or regional energy modelling. In other words, the goals that have been set and the strategies that are required to achieve those.2. To define the data requirements for the UBEM.3. To examine the parameters that are the most impactful for the energy performance of buildings, by sensitivity analysis.4. To examine possible data sources for these parameters and evaluate the effect of them in final output.5. To provide recommendations, regarding retrofit strategies, considering the future climate scenarios.