Digital Agent Networking for Customer Energy Reduction (DANCER)

用于减少客户能源的数字代理网络 (DANCER)

• 批准号: EP/K002643/1
• 负责人: Riccardo Russo
• 金额: $ 98.34万
• 依托单位: University of Essex
• 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%2FK002643%2F1
• 关键词: Digital; Agent; Networking; Customer; Energy

Long-term energy consumption reduction can be achieved more readily through sensible cooperation between end users and technological advancements. Monitoring energy use within buildings requires clear and reliable methods with outputs that are meaningful and helpful. End users play a pivotal role in this as energy use revolves around their presence and comfort. Hence, with changing lifestyles and working patterns, energy consumption reduction can be aided by new approaches in digital innovation. Energy metering schemes are now popular and provide data on energy use and cost, but communicatively are a one-way street. Hence, this information is only beneficial if users continually make changes to utility use within their home. However, behavioural changes inducing energy reduction fade relatively quickly and users feel less empowered. Last year, residential sector emissions rose by 13.4% despite metering being a popular investment. Based on this information, interactive systems can help address this problem.Consumers appreciate that innovative technology can increase their quality of life. However, a lasting bond between the two can only occur when users have confidence in the technology around them. This is more likely to happen when users and technologists work collectively in the system design process. DANCER takes insights from users' behaviour analysis, metering schemes, wireless sensors and embedded software to produce a system that both interactively and automatically manages users' energy consumption within indoor environments. It will tailor users' energy consumption to their habits aiming to reduce energy consumption. To achieve this DANCER adopts a multidisciplinary approach where knowledge from psychology, social and economic research, wireless communication and computer science unite to provide a viable solution that is beneficial to all the stakeholders on the energy supply-consumer chain.To the above aim, users' energy consumption habits will be collected and studied to inform both the design of the energy control system as well as the user interface in the DANCER system. Baseline information will be collected from samples of end users. This will be combined with insights from the relevant emerging literature. Moreover, an iterative participatory design approach will be used to explore how users feel about the digital technologies to be employed in this project and how they imagine these technologies can assist them in reducing their energy consumption and carbon footprint. Increasingly mature versions of the DANCER system will then be pre-tested through a series of pilot studies with volunteers so that users' queries about the sensors, networks and control policies being used to monitor and interactively manage their energy use can be further examined. Finally, the mature DANCER system will be tested in a control trial experiment where samples of households will be either provided with DANCER or allocated to appropriate control conditions. The trial will enable the analysis of the effect of the system on users' energy related behaviours, energy and carbon emissions.The DANCER system will act as follows. Wireless sensor networks will employ novel sensing and communication mechanisms which will monitor users' movements and the energy use of a range of appliances. These data, together with the information either collected directly from end users via their smart phone application (e.g. indications to reduce energy use by 20%) or inferred indirectly from user habits, will be fed into a decision making agent that will decide when to switch on/off certain appliances and for how long. The above information collected by the agent, on a per-dwelling basis, will be sent to a centralised remote database. As a result, a global view of the energy consumption and user habits can be derived. In return, this information can be used to guide stakeholders to more effective and efficient way of supplying and consuming energy.

通过最终用户与技术进步之间的合理合作，可以更容易地实现长期能源消耗。监视建筑物内的能源使用需要清晰可靠的方法，其输出有意义且有用。最终用户在这方面发挥了关键作用，因为能源使用围绕着他们的存在和舒适感。因此，随着生活方式和工作方式的变化，数字创新的新方法可以帮助减少能源消耗。能源计量方案现在很受欢迎，并提供了有关能源使用和成本的数据，但是沟通是单向街道。因此，只有在用户不断更改房屋中的公用事业使用时，此信息才是有益的。但是，行为变化相对较快地诱导能源降低，用户感到降低了能力。去年，尽管计算是一项受欢迎的投资，但住宅部门的排放量增长了13.4％。基于这些信息，交互式系统可以帮助解决此问题。消费者赞赏创新技术可以提高其生活质量。但是，只有当用户对周围的技术充满信心时，两者之间的持久纽带才能发生。当用户和技术人员在系统设计过程中共同工作时，这更有可能发生。舞者可以从用户的行为分析，计量方案，无线传感器和嵌入式软件中获得见解，以产生一个系统，并自动地管理用户在室内环境中的能源消耗。它将定制用户的能源消耗，以减少能源消耗。为了实现这位舞者，采用了一种多学科的方法，从心理学，社会和经济研究中的知识，无线沟通和计算机科学团结起来，为所有利益相关者提供了可行的解决方案，该解决方案将在上述目的上，用户的能源消耗习惯收集并研究了能源控制系统的设计，以便将用户的能量消耗习惯以及decters in user inserface in the user interface in the Dect interface in n of the userface in n of the userface。基线信息将从最终用户的样本中收集。这将与相关新兴文献的见解相结合。此外，将使用一种迭代的参与设计方法来探索用户对该项目中要使用的数字技术的感觉，以及他们如何想象这些技术可以帮助他们减少能源消耗和碳足迹。然后，将通过与志愿者进行一系列试验研究对舞者系统的越来越成熟版本进行预测试，以便可以进一步研究用户对使用传感器，网络和控制策略来监视和互动管理其能源使用的疑问。最后，成熟的舞者系统将在对照试验实验中进行测试，其中将提供舞者的样本或分配给适当的对照条件。该试验将使系统对用户相关行为，能量和碳排放的影响进行分析。舞者系统将采用如下。无线传感器网络将采用新颖的传感和通信机制，以监控用户的动作以及一系列设备的能源使用。这些数据以及通过其智能手机应用程序直接从最终用户收集的信息（例如，将能源利用减少20％的指示）或从用户习惯中间接推断出来，将被送入决策代理，该公司将决定何时打开/关闭某些设备并持续多长时间。代理商以人均收集的上述信息将发送到集中式远程数据库。结果，可以得出对能源消耗和用户习惯的全球视图。作为回报，这些信息可用于指导利益相关者更有效，更有效的供应和消费能源。

项目成果

Optimal storage allocation on throwboxes in Mobile Social Networks

• DOI: 10.1016/j.comnet.2015.08.015
• 发表时间: 2015-11
• 期刊: Comput. Networks
• 作者: Bo Fan;S. Leng;Kun Yang;Yan Zhang

An indoor positioning approach using sibling signal patterns in enterprise WiFi infrastructure

• DOI: 10.1109/iwcmc.2017.7986545
• 发表时间: 2017-06
• 期刊: 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
• 作者: Xuan Du;Kun Yang;Xiaofeng Lu;Xiaohui Wei

An Energy Efficient Message Scheduling Algorithm Considering Node Failure in IoT Environment

物联网环境下考虑节点故障的节能消息调度算法

• DOI: 10.1007/s11277-014-1960-3
• 发表时间: 2014
• 期刊: Wireless Personal Communications
• 影响因子: 2.2
• 作者: Abdullah S

Feeding back about eco-feedback: How do consumers use and respond to energy monitors?

• DOI: 10.1016/j.enpol.2014.05.008
• 发表时间: 2014-10
• 期刊: Energy Policy
• 影响因子: 9
• 作者: Kathryn Buchanan;Riccardo Russo;B. Anderson

Going the extra green mile: When others' actions fall short of their responsibility

多走绿色里程：当其他人的行为没有履行他们的责任时

• DOI: 10.1016/j.jenvp.2015.03.002
• 发表时间: 2015
• 期刊: Journal of Environmental Psychology
• 影响因子: 6.9
• 作者: Buchanan K