Glass Enamel & Ophtalmic Optics, Volume. 50, Issue 6, 38(2022)
Determination of Nature Gas Energy Performance Indicators (EnPIs) of Glass Furnace and Melting Process Monitoring and Improvement
During determination of the nature gas energy consumption per tonnage of glass liquid melted in the glass furnace, we joint the classical regression analysis in quality statistical technique with Autoregression Conditional Heteroscedasticity model (ARCH) in economics organically, then create the converged dynamic model, which raises the good-of-fitness precision and predictive capability greatly. Thus play a firmly foundation on the scientific management of EnMS. Meantime, the completion of this subproject points the way towards other EnPIs’ establishment, energy consumption monitoring and energy performance continual improvement, and provides a guidance on how to implement EnPIs efficiently. It can also be used as the standardized model on energy management.
Get Citation
Copy Citation Text
ZHAO Ming. Determination of Nature Gas Energy Performance Indicators (EnPIs) of Glass Furnace and Melting Process Monitoring and Improvement[J]. Glass Enamel & Ophtalmic Optics, 2022, 50(6): 38
Category:
Received: Mar. 15, 2022
Accepted: --
Published Online: Feb. 17, 2023
The Author Email: