Using Advance Thermodynamics and Online Big Data Analytics to Maximize the Chiller Plant Performance
It comes as no surprise; chillers are often the largest consumer of power in a building, accounting for 15-30% electric use. Just because a chiller is operating, does not mean it is efficient. Most chillers do not function efficiently resulting in higher energy costs and increased CO2 emissions. Building owners looking for ways to better operate their facilities are paying more attention to their chillers. This paper examines how advanced thermodynamic monitoring combined with big data analytics has advanced chiller plant performance in commercial buildings. This new Online Chiller Performance Evaluation technology (OCPE) supports high-performance buildings through accurate thermodynamic evaluation of chiller operation. This paper is based on real-world OCPE cases and will show:The typical % of savings achieved in chillers installed in commercial buildings such as clinics, hospitals and offices.The most common saving opportunities identified with the technology.The Return on Investment (ROI) of applying the OCPE technology.This document also explains the importance of independent chiller performance monitoring, and defines the typical architecture (hardware, software and network) of an online OCPE system, its integration with an existing BMS, the involved cybersecurity concerns and how to overcome them. Finally, it explains the next steps of this technology towards Dynamic Chiller Performance Optimization: DChPO, that will lead to the next generation of highperformance Buildings.
high-performance building energy saving smart building
Rafael NAVARRO Glen ANDERSON
ETC Group, Macau SAR
国际会议
2017世界可持续建筑环境大会(the World Sustainable Built Environment Conference)
香港
英文
462-471
2017-06-05（万方平台首次上网日期，不代表论文的发表时间）