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Energy Management and Analysis Exploiting Existing Building Management Systems Infrastructure and Data

利用现有建筑管理系统基础设施和数据进行能源管理和分析

基本信息

批准号：
EP/M506734/1
负责人：
Sandra Dudley-McEvoy
金额：
$ 26.75万
依托单位：
London South Bank University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2014
资助国家：
英国
起止时间：
2014 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FM506734%2F1
关键词：
Energy Management Analysis Exploiting Existing

项目摘要

Non-domestic buildings were responsible for 120TWh energy consumption and 48MtCO2e emissions in the UK in 2010. There is an acknowledged 'performance gap' between the design expectation and operational reality of most buildings (typically 30-35%). The reasons for the gap are many but research has identified the following among them: 'Building controls and systems are overly complex''Design intent is not delivered on-site during construction''Commissioning is inadequate or not completed satisfactorily''There are insufficient means of measuring and managing the building systems' performance once operational''The building is not operated properly by the facilities team or occupiers'Research has also identified that 'there is still insufficient bottom-up data on building energy use broken down by different building types.'Our proposal will provide tools to reduce the performance gap using Building Management Systems (BMS) and dedicated platforms that provide analysis and feedback to users on sensor data. It will deliver from the bottom-up, converting large volumes of data input to the platform into simple user-friendly views, indicators, fault detection and diagnoses, while retaining full capabilities. Finally and crucially, it will reduce complexity and information overload by directing attention to actionable solutions by users to performance issues.Our aim is to acquire and apply a broad range of knowledge and skills to substantially expand the capabilities and applications of an existing Ashden Award 2014-nominated building performance analysis software system that can used for multiple end users.The project will build upon an existing software system that extracts data from existing BMS that undertakes analysis far beyond the capabilities of the current BMS (designed for control, not analysis). The current platform has already identified £500k of annual savings at King College London University and extensive savings at other sites.The multidisciplinary and close collaboration between London South Bank University, Demand Logic, Environmental Design Solutions Limited and Verco aims to draw upon data-mining techniques to increase speed and scope of analysis, interface with modelling software to compare design versus performance, interface with strategic carbon management software, enable dynamic demand control and develop interfaces for a range of audiences - including education and training.The system platform will also be used to educate future engineers at university level by providing them with real-world examples of sensor data, allowing them to perform data analysis techniques and solution provision based upon simulated problems identified in an example building.

2010 年，英国非住宅建筑的能耗为 120TWh，排放量为 48MtCO2e。大多数建筑的设计预期与实际运营之间存在公认的“性能差距”（通常为 30-35%）。造成差距的原因有很多，但研究发现其中有以下几点：“建筑控制和系统过于复杂”“施工期间未在现场交付设计意图”“调试不充分或未令人满意地完成”“一旦投入使用，测量和管理建筑系统性能的手段不足”“设施团队或占用者未正确操作建筑物”研究还发现“仍然存在问题” 按不同建筑类型细分的建筑能源使用自下而上的数据不足。我们的提案将提供工具，使用建筑管理系统（BMS）和专用平台来缩小性能差距，这些平台可以向用户提供传感器数据的分析和反馈。它将自下而上地将输入到平台的大量数据转换为简单的用户友好视图、指示器、故障检测和诊断，同时保留全部功能。最后也是最重要的是，它将通过引导用户关注性能问题的可行解决方案来减少复杂性和信息过载。我们的目标是获取并应用广泛的知识和技能，以大幅扩展现有的 2014 年阿什登奖提名的建筑性能分析软件系统的功能和应用，该系统可用于多个最终用户。该项目将建立在现有软件系统的基础上，该系统从现有 BMS 中提取数据，进行的分析远远超出了当前 BMS 的能力（旨在控制，而不是为控制而设计）。分析）。目前的平台已经确定伦敦大学国王学院每年可节省 50 万英镑，其他地点也可节省大量资金。伦敦南岸大学、Demand Logic、Environmental Design Solutions Limited 和 Verco 之间的多学科密切合作旨在利用数据挖掘技术来提高分析速度和范围，与建模软件连接以比较设计与性能，与战略碳管理软件连接，实现动态需求控制并为一系列应用开发接口该系统平台还将用于教育未来的大学工程师，为他们提供传感器数据的真实示例，使他们能够根据示例建筑中确定的模拟问题执行数据分析技术和解决方案提供。