Development of Internet Based Energy Management System for a Campus-wise Higher Education Park in China

Abstract

The internet based energy management system (IEMS) was developed to improve energy efficiency and energy management level of a campus-wise Higher Education Park. The IEMS can collect various data on line, including energy resources, equipment operation and control data. The proposed system  uses various technologies such as energy big data analysis, expert system energy consumption vulnerability detection, load forecasting and optimization control, which can improve the efficiency of  energy consumption, energy management level, and predict equipment failures, and consequently help users reduce energy cost and increase efficiency. The campus-wise Higher Education Park, located in Suzhou, China, covers an area of 11 square kilometers and becomes a modern science and education city, which combines life, entertainment, education and business. Moreover, there are more than 150 buildings of various types including commercial complex, hotels, schools, Grade A office buildings, cultural and sports public venues, scientific research institutes apartments, etc. This has a total building area of about 2.5 million square meters and a total design capacity of approximate 185, 000 kVA. Finally, the practical application of the IEMS for the park shows that it can save about 7.13 million kWh per year and reduce carbon dioxide emissions by about 5883.49 tons, which are equivalent to plant 12652 trees.

Presented By

Jiong Zhou, C.E.M., C.E.A., G.B.E., C.S.D.M.P., P.E.
General Manager
Ji-Zhong Energy Technology, LTD.

Jiong Zhou, AEE member, CEM, CEA, GBE, CDSMP, PE.  He is general manager for a Chinese energy services company.  He also served for State of  Iowa Energy Bureau as an Engineer/Project Manager, for The University of Iowa as an Energy Manager from 1998 to 2011.  He worked for Johnson Controls (Shanghai) as an Engineer/Business Manager.  His engineering fields include energy management, energy big data, automatic faults detection and diagnosis.  He holds MS in Mechanical Engineering and MBA both from the University of Iowa.