The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 04, 2025
Filed:
Oct. 30, 2019
Zhejiang University, Hangzhou, CN;
Xiang Gao, Hangzhou, CN;
Chenghang Zheng, Hangzhou, CN;
Yueqi Huang, Hangzhou, CN;
Yishan Guo, Hangzhou, CN;
Yongxin Zhang, Hangzhou, CN;
Weiguo Weng, Hangzhou, CN;
Weihong Wu, Hangzhou, CN;
Ruiyang Qu, Hangzhou, CN;
Shaojun Liu, Hangzhou, CN;
Haitao Zhao, Hangzhou, CN;
ZHEJIANG UNIVERSITY, Hangzhou, CN;
Abstract
The invention relates to an intelligent multi-pollutant ultra-low emission system and a global optimization method thereof. The intelligent multi-pollutant ultra-low emission system comprises a device layer, a sensing layer, a control layer and an optimization layer from bottom to top. The global optimization method comprises: obtaining an accurate description multiple pollutants in the generation, migration, transformation and removal process in multiple devices by means of accurate modeling of a multi-device multi-pollutant simultaneous removal process of the ultra-low emission system; accurately evaluating multi-pollutant emission reduction costs under different loads, coal qualities, pollutant concentrations and operating parameters through a global operating cost evaluation method of the ultra-low emission system; realizing minute-level planning and optimization of emission reductions of a global pollutant emission reduction device under different emission targets through a multi-pollutant, multi-target and multi-condition global operating optimization method; and guaranteeing reliable emission reduction and margin control of the pollutants through an advanced control method for reliable up-to-standard ultra-low emission of the pollutants.