The centralised chiller plant of a building accounts for roughly half of all energy consumed by a building. Therefore, operating the chiller plant in the most energy-efficient manner help to optimise building energy utilisation considerably.
Existing discrete and stand-alone Supervisory Control and Data Acquisition (SCADA) network houses information in isolation. Managing data streams from multiple sites, each consisting of a large pool of sensors can be complex due to differences in units of measure, sampling resolution, on/off cycle, interrupting in data streams, and even inconsistent naming convention. For meaningful analytics and insights, data streams need to be harmonised and standardised. By harmonizing parameter names, the multiple sites can be monitored simultaneously to identify an anomaly in plant performance.
The Singapore SME has developed a data analytics platform that connects to live data stream from IoT sensors at the chiller plants, stream data through uniform data ingestion and cleansing data with data preparation tool and extract, transform and load (ETL) processes. Data is then standardised and normalised onto a data visualisation platform for analysis.
Built for chiller plants and Heating Ventilation and Air conditioning (HVAC) systems, the data analytics platform is highly flexible with full-featured data analytics capabilities to help facility management monitor chiller plant performance, generate regular reports and receive alerts of exceptional conditions.
The platform is suitable for buildings owners, manufacturing sites that wish to embark on data analytics to improve chiller plant performance, productivity and reduce energy wastage in centralised chiller plants.
The Singapore SME interested in working with partners (MNEs or SMEs of all sizes) to either engage in a joint-research for further co-development, license the technology or be a commercial partner with technical assistance rendered by the Singapore SME.