Towngas Headquarters Building has adopted a continuous artificial intelligence (A.I.) retro-commissioning (RCx) for maximising chiller plant efficiency. The Team has been working closely with a smart technology partner since 2016. By recording more than 300,000 numbers of data each month, the Team made use of data mining and A.I. approach for data acquisition and analysis. A Building Operation System (BOS) is connected with their original Building Management System (BMS) to help identifying the energy saving opportunities (ESOs) and predict optimised action outcome.Towngas Headquarters Building has adopted a continuous artificial intelligence (A.I.) retro-commissioning (RCx) for maximising chiller plant efficiency. The Team has been working closely with a smart technology partner since 2016. By recording more than 300,000 numbers of data each month, the Team made use of data mining and A.I. approach for data acquisition and analysis. A Building Operation System (BOS) is connected with their original Building Management System (BMS) to help identifying the energy saving opportunities (ESOs) and predict optimised action outcome.
Through chiller operating performance mapping, performance difference is identified among the two chillers of same model that power consumption and chiller cooling capacity are deviated from each other. Adjustment on balancing valves to regulate chilled water flow rate and adjust parameter for chillers to optimise the performance to improve energy efficiency of chillers. The improvement works are estimated to reach 15% of energy saving after implementation.
With the huge amount of data in the cloud storage system learnt by algorithm, a lot of system optimisation works can be done by the A.I. system. A COP-based system is deployed here to select data of the same period for comparison between different chillers by machine learning and data mining, looking into the major reason of COP differences. Towngas Headquarters Building shows a good example in identifying root causes of operation faults using big data with help of smart technology, and thus a quick response can be formulated to resolve the problem.
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