REFIT: Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology

REFIT：使用智能家居技术为英国家庭提供个性化改造决策支持工具

• 批准号: EP/K002457/1
• 负责人: Steven Firth
• 金额: $ 94.38万
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK002457%2F1
• 关键词: REFIT; Personalised; Retrofit; Decision; Support

Thermal efficiency retrofit options, appliance upgrades and on-site renewables represent a significant opportunity to deliver energy demand reductions to UK homes. The potential to reduce thermal heat losses through insulation and airtightness (in particular in pre-1980s housing), upgrade the household appliance stock (using the latest energy saving models) and integrated on-site renewables and microgeneration (developing a 'prosumer' culture and reducing energy bills) still remains largely unrealised. There are a number of challenges in providing advice for retrofit solutions to consumers which will promote behaviour change and influence purchasing decisions. Currently consumer information is based on standardised methodologies for nominal house types and the resulting predictions of energy savings have minimal resemblance to reality where the thermal efficiency of the dwelling, efficiency of heating system and appliances, occupancy, user behaviour and preferences will have a significant impact on the effectiveness and uptake of retrofit measures. One solution is to provide consumers with personalised, accurate and trustworthy predictions of energy saving measures which are calibrated and tailored to their dwelling and living patterns, presented in a format to engage and promote action. This proposal will facilitate a widespread uptake of retrofit measures in UK homes by implementing a holistic approach to providing consumers with personalised, tailored retrofit advice delivered using methods to maximise consumer engagement. Smart Home technology provides a unique opportunity to use real-time measurements, advanced data analytics, digital signal processing and communications techniques, novel visualisation, semantic web and cloud computing technologies to generate advice at different levels of abstraction for informed and justified decision making. The Smart Home concept is currently gaining significant momentum and new developments in open systems, simple use and installation features (ie plug and play), mobile access (ie Smart Phones) and connectivity have brought the concept to the attention of energy companies, ICT companies and appliance manufacturers. The IBM vision of a Smart(er) Home gives three characteristics: 1) Instrumented (sensors and automation of household activities); 2) Interconnected (communication between devices and wider networks - allowing remote access and control of devices); and 3) Intelligent ('the ability to make decisions based on data, leading to better outcomes'). Smart Homes provide consumers with more control over their homes and energy systems and, importantly, how their energy demand and costs can be reduced through interventions. This proposal brings together a multi-disciplinary team of building, ICT, energy, design and user experts to develop a personalised decision support platform for building envelope retrofits, heating system and appliance replacement purchases, and on-site renewables integration. This will deliver a step-change in the provision and accuracy of retrofit advice to UK householders leading to a low-energy and low-carbon future housing stock. The outcomes will be of benefit to: energy, ICT, embedded systems and telecommunication companies developing technology and business models for Smart Home services; consumers to lower their energy bills and improve the safety, security and comfort of their homes; building component, boiler and appliance manufacturers developing the next generation of low-energy products; and policy makers for new insights into innovative approaches to meeting the security, affordability and carbon reduction aspirations of the UK energy system.

热效率改造选项，设备升级和现场可再生能源代表了向英国房屋降低能源需求的重要机会。通过绝缘和气密性（尤其是在1980年代之前的住房中）减少热热损失的潜力，升级家用电器库存（使用最新的节能型号），并集成了现场可再生能源和微电线路（开发“ Possumer”文化和减少能源账单）仍然很大程度上没有实现。在为消费者提供改造解决方案的建议方面面临许多挑战，这将促进行为改变并影响购买决策。目前，消费者信息基于标准房屋类型的标准化方法，产生的节能预测与现实的相似之处最小，在这种现实中，住宅的热效率，加热系统和设备的效率，占用率，用户行为和偏好将对效力和改造措施的有效性和采用措施产生重大影响。一种解决方案是为消费者提供对节能措施的个性化，准确和值得信赖的预测，这些预测是按照其住宅和生活模式进行校准和量身定制的，并以一种格式提出，以参与和促进行动。该提案将通过实施整体方法来为消费者提供个性化的，量身定制的改造建议，以最大程度地提高消费者参与度，从而有助于英国房屋中的改造措施广泛采用改造措施。智能家居技术提供了一个独特的机会，可以使用实时测量，高级数据分析，数字信号处理和通信技术，新颖的可视化，语义网和云计算技术，以在不同级别的抽象中生成建议，以进行知情和合理的决策。 Smart Home Concept目前正在获得巨大的动力和开放系统，简单的使用和安装功能（即插件），移动访问（即智能手机）和连接性的新开发项目，这使该概念引起了能源公司，ICT公司，ICT公司和设备制造商的关注。 IBM对智能（ER）房屋的愿景给出了三个特征：1）仪器（家庭活动的传感器和自动化）； 2）互连（设备和更广泛的网络之间的通信 - 允许对设备进行远程访问和控制）； 3）智能（“基于数据做出决策的能力，从而导致更好的结果”）。智能家园为消费者提供了对他们的房屋和能源系统的更多控制，重要的是，如何通过干预措施减少其能源需求和成本。该提案汇集了一个多学科的建筑，ICT，能源，设计和用户专家的团队，以开发一个个性化的决策支持平台，用于建造信封改造，供暖系统和设备替换购买以及现场可再生能源集成。这将在翻新建议的提供和准确性方面给英国的住户提供逐步变化，从而导致低能量和低碳未来的住房库存。结果将有益于：能源，ICT，嵌入式系统和电信公司开发用于智能家庭服务的技术和业务模型；消费者降低能源账单并改善房屋的安全，保障和舒适性；建筑组件，锅炉和设备制造商开发下一代低能产品；以及对创新方法的新见解的决策者，以满足英国能源系统的安全性，可负担性和减少碳质量的愿望。

项目成果

Data-driven simple thermal models: The importance of the parameter estimates

• DOI: 10.1016/j.egypro.2015.11.322
• 发表时间: 2015-01-01
• 期刊: 6TH INTERNATIONAL BUILDING PHYSICS CONFERENCE (IBPC 2015)
• 作者: Dimitriou, Vanda;Firth, Steven K.;Coleman, Michael
• 通讯作者: Coleman, Michael

Data-driven simple thermal models: The radiator - gas consumption model

数据驱动的简单热模型：​​散热器 - 气体消耗模型

• 发表时间: 2015
• 期刊: 14th International Conference of the International Building Performance Simulation Association, Hyderabad, India, 07 Dec 2015 - 09 Dec 2015
• 作者: Dimitriou V

Forecasting underheating in dwellings to detect excess winter mortality risks using time series models

• DOI: 10.1016/j.apenergy.2021.116517
• 发表时间: 2021-03
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: A. Ahmed;R. McLeod;Matej Gustin

Pre-installation challenges: classifying barriers to the introduction of smart home technology

安装前的挑战：对引入智能家居技术的障碍进行分类

• 发表时间: 2015
• 期刊: Joint Conference on 29th International Conference on Informatics for Environmental Protection / 3rd International Conference on ICT for Sustainability (EnviroInfo and ICT4S), Copenhagen, Denmark, 07 Sep 2015 - 09 Sep 2015
• 作者: De Oliveira L

The role of programmable TRVs for space heating energy demand reduction in UK homes

可编程 TRV 在减少英国家庭空间供暖能源需求方面的作用

• 发表时间: 2014
• 期刊: 2nd IBPSA-England conference on Building Simulation and Optimization, London, 23 Jun 2014 - 24 Jun 2014
• 作者: Badiei A