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

2010年，英国非住宅建筑的能耗为120太瓦时，二氧化碳排放量为4800万吨。在大多数建筑的设计期望和运营实际之间存在着公认的“性能差距”(通常为30%-35%)。造成这一差距的原因是多方面的，但研究已经确定了其中的几个原因：“建筑控制和系统过于复杂”“施工期间没有现场传达设计意图”“调试不充分或没有令人满意的完成”“没有足够的手段来衡量和管理建筑系统在运行后的性能”“设施团队或占有者没有正确地操作建筑”研究还发现“关于建筑能源使用的自下而上的数据仍然不足，按不同的建筑类型细分。我们的提议将提供使用建筑管理系统(BMS)来缩小性能差异的工具。)和向用户提供传感器数据分析和反馈的专用平台。它将自下而上地提供，将向平台输入的大量数据转换为简单的用户友好型视图、指示器、故障检测和诊断，同时保留全部功能。最后，也是至关重要的是，它将通过将用户的注意力引导到可操作的解决方案来降低复杂性和信息过载。我们的目标是获取和应用广泛的知识和技能，以大幅扩展现有的阿什登奖2014年提名的建筑性能分析软件系统的能力和应用程序，该软件系统可用于多个最终用户。该项目将建立在现有的BMS提取数据的现有软件系统的基础上，该系统进行的分析远远超出当前BMS(设计用于控制，而不是分析)的能力。目前的平台已经在伦敦大学国王学院每年节省了50万GB，在其他网站也节省了大量资金。伦敦南岸大学、需求逻辑、环境设计解决方案有限公司和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的速度和范围，与建模软件进行接口以比较设计与性能，与战略碳管理软件进行接口，实现动态需求控制，并为包括教育和培训在内的一系列受众开发接口。系统平台还将通过向未来大学工程师提供真实世界的传感器数据示例来培训他们。允许他们基于在示例建筑中识别的模拟问题来执行数据分析技术和解决方案提供。

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.