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

估算城市规模建筑物的供暖需求并确定从建筑物扩展到城市的数据挑战

• 批准号: 2425151
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2425151
• 关键词: Estimating; Heating; Demand; buildings; Urban

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.

该博士将研究城市规模能源建模的数据要求，更具体地说，用于估计供暖需求，以及最有效的改造策略，以便能够提出特定的数据集和策略，并迅速改造整个城市。从而使我们对这一领域有更多的了解，使决策者能够更好地规划城市规模的更新，以便有效地应对未来的气候变化气候变化的情景。这个博士项目的目的是评估样本地区建筑物的供暖需求，以便为城市建模最敏感的建筑物和城市环境的特征所需的数据收集提出建议。因此，导致的一些研究问题如下：在城市尺度上进行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？哪一个是城市更新所需步骤的最有效顺序？（制定翻新战略）在未来气候情景下，具有高能源绩效率特征的地区在未来是否具有能源效率？本课题的研究目标是：1.了解城市或区域能源建模的政策导向目标。换句话说，已经设定的目标和实现这些目标所需的战略。确定统一预算模式的数据要求。通过敏感性分析，研究对建筑节能性能影响最大的参数.检查这些参数的可能数据来源，并评估它们对最终产出的影响。考虑到未来的气候情景，就改造战略提出建议。