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City-Wide Analysis to Propel Cities towards Resource Efficiency and Better Wellbeing

全市范围的分析，推动城市提高资源效率和改善福祉

基本信息

批准号：
EP/N010779/1
负责人：
A. Bahaj
金额：
$ 81.67万
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FN010779%2F1
关键词：
City Wide Analysis Propel Cities

项目摘要

Many cities in the world are putting in place their own robust carbon reduction strategies in response to, or in advance of, leadership from central government. As the powerhouses of economic growth, cities use vast amounts of energy and consume resources from hinterlands that stretch across international borders. However, the population density of cities can also provide opportunities for significant efficiencies in terms of the provision of building services and the mobility of people and goods. In this programme of work, we propose to centre our activities on two cities: Xi'an, China and Portsmouth, UK which are notable both for their cultural heritage and for their population density (Portsmouth has the highest population density of any city in the UK). Both cities have published ambitious plans for reducing city-wide carbon emissions but also have large stocks of ageing buildings and infrastructure. This programme of work will: (a) develop an overall understanding of current buildings, mobility and energy services in both cities; (b) identify low disruption and scaled-up retrofit methodologies taking into account the particular characteristics of the two cities; (c) carry out modelling of city-wide retrofit and systems integration, at both the neighbourhood and district scales including building refurbishment, district energy and micro generation geared to improve buildings for their users. In all our modelling and building performance evaluation, we will take into account anticipated climate change projections and the adaptation required to maintain or exceed current levels of thermal comfort. (d) Address adaptive urban logistics to meet mobility needs within the two cities while pursuing carbon reduction targets through a series of targeted workshops with practitioners in the field from both countries. (e) Through a combination of modelling and monitoring, we will identify smart solutions harnessed to inform users and reduce consumption. Crucially, the modelling will be validated by real energy consumption datasets, gathered from both secondary sources (provided by our partners and from others) and primary, from a combination of sensor deployments and surveys. The latter will take the form of monitoring of a sample of multi occupancy buildings for a range of relevant parameters including temperature, power consumption, humidity and carbon dioxide. The building performance data provided by the sensor deployment will be supported by user survey data exploring perceptions of thermal comfort, overall wellbeing (satisfaction with life, health, employment and so on) and attitudes to energy saving and the cost of energy. This will link the purely techno-economic assessment of energy saving interventions to their potential social impacts. The outcomes of this programme will take the form of validated tools and guidance distilled from the project results in order to support city planners in their decision making processes concerning building asset refurbishments and the likely impact on wellbeing resulting from such improvements. A central aspect of the programme will be to foster collaboration and knowledge transfer between both researchers and practitioners in China and the UK. There are areas, for example district heating, of which there is far more experience of in China than the UK, very relevant to densely populated UK cities like Portsmouth. In other areas such as energy efficiency standards for new buildings and building energy assessment techniques, there is potential for knowledge transfer from the UK to China. In the final year of the project a joint UK-China workshop will be held to bring together researchers and practitioners in the fields of planning, energy, building services and local government, in order to disseminate the results of the programme, to test out and receive feedback on the support tools and to foster further collaboration.

世界上许多城市都在制定自己的强有力的碳减排战略，以响应或赶在中央政府的领导之前。作为经济增长的动力源，城市使用了大量的能源，消耗了跨越国际边界的腹地的资源。然而，城市的人口密度也可以在提供建筑服务和人员和货物流动方面提供显著提高效率的机会。在这项工作计划中，我们建议将我们的活动集中在两个城市：西安、中国和英国朴茨茅斯，这两个城市以其文化遗产和人口密度而闻名(朴茨茅斯是英国人口密度最高的城市)。这两个城市都公布了雄心勃勃的计划，以减少全市的碳排放，但也有大量老化的建筑和基础设施。这项工作方案将：(A)全面了解两个城市目前的建筑、机动性和能源服务；(B)考虑到两个城市的具体特点，确定低干扰和扩大改造的方法；(C)在社区和地区两个层面开展全市改造和系统集成的模拟，包括建筑物翻新、地区能源和微型发电，以改善建筑物的用户。在我们所有的建模和建筑性能评估中，我们将考虑预期的气候变化预测和保持或超过当前热舒适水平所需的适应。(D)通过与两国实地从业人员举办一系列有针对性的讲习班，解决适应性城市物流问题，以满足两个城市的机动性需求，同时实现碳减排目标。(E)通过建模和监测相结合的方式，我们将确定智能解决方案，以便向用户提供信息并减少消耗。至关重要的是，模型将通过实际能源消耗数据集进行验证，这些数据集来自二次来源(由我们的合作伙伴和其他人提供)和一次来源，来自传感器部署和调查的组合。后者将采取监测多住户建筑物样本的形式，以监测一系列相关参数，包括温度、耗电量、湿度和二氧化碳。传感器部署提供的建筑性能数据将得到用户调查数据的支持，这些数据探索了人们对热舒适性、整体幸福感(对生活、健康、就业等的满意度)以及对节能和能源成本的态度。这将把对节能干预措施的纯粹技术经济评估与其潜在的社会影响联系起来。该方案的成果将采用经验证的工具和从项目成果中提炼出的指导意见的形式，以支持城市规划者就建筑物资产翻新以及此类改进可能对福祉产生的影响的决策过程。该计划的一个核心方面将是促进中国和英国研究人员和实践者之间的合作和知识转移。在一些领域，例如区域供热，中国的经验远远超过英国，这与朴茨茅斯等英国人口稠密的城市非常相关。在其他领域，如新建筑的能效标准和建筑能源评估技术，英国有可能将知识转移给中国。在项目的最后一年，将举办英国和中国联合举办的研讨会，将规划、能源、建筑服务和地方政府领域的研究人员和从业人员聚集在一起，以传播方案的结果，测试支持工具并接受反馈，并促进进一步的合作。