Intelligent Energy System in Large Glass Enterprise

LOU Qinghui,NIU Honghai,GENG Xin,CHEN Jun,LI Bing,ZHANG Bing

Distributed Energy ›› 2019, Vol. 4 ›› Issue (1) : 27-31.

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Distributed Energy ›› 2019, Vol. 4 ›› Issue (1) : 27-31. DOI: 10.16513/j.cnki.10-1427/tk.2019.01.006
Application Technology

Intelligent Energy System in Large Glass Enterprise

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Abstract

The energy demand of large glass enterprise includes cold, heat, electricity, steam, gas and other forms of energy, and the production process produces a large amount of waste heat. Therefore, the energy system of the glass production plant is a typical integrated energy system. This paper deeply studies the energy system and process flow of a large glass enterprise in China, sorts out the energy demand and multi-energy coupling relationship of glass enterprises, and analyzes the energy consumption of main production processes. The intelligent energy management and control system and scheduling method based on the hierarchical integrated management and control architecture are proposed to realize the operation management and coordination and optimal scheduling of the plant energy system. At the same time, this paper puts forward the evaluation index of glass melting furnace based on the energy consumption of glass melting and the online evaluation method of enterprise comprehensive energy system evaluation index based on the comprehensive energy consumption of unit glass, so as to realize the quantification of the operation efficiency of enterprise comprehensive energy system. The proposed scheduling method and the establishment of evaluation indexes realize the closed-loop management of energy supply and use in glass enterprises and improve their energy utilization efficiency.

Key words

glass enterprise / integrated energy systems / evaluation indicators / glass melting furnace / coordination optimization

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Qinghui LOU , Honghai NIU , Xin GENG , et al . Intelligent Energy System in Large Glass Enterprise[J]. Distributed Energy Resources. 2019, 4(1): 27-31 https://doi.org/10.16513/j.cnki.10-1427/tk.2019.01.006

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Funding

Project supported by National Key R&D Program of China(2018YFB0904800)
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