Development of an uncertain Gaussian diffusion model with its application to production-emission system management in coal-dependent city- a case study of Yulin, China. (February 2019)

• Record Type: Journal Article
• Authors: Zhu, Y.; Tong, Q.L.; Yan, X.X.; Li, Y.X.
• Is Part Of: Energy procedia. Volume 158(2019)
• Page Start: 3253
• Page End: 3258
• Publication Date: 2019-02
• Subjects: production-emission system -- Gaussian diffusion -- pollutant mitigation -- production-emission system -- uncertainty; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2019.01.993
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: In this study, an uncertain Gaussian diffusion model (UGD) was developed for supporting production-emission system (PES) management in coal-dependent city. UGD-PES model cannot only deal with uncertainties expressed as probability and possibility distributions, but also quantify subjective imprecision presented as fuzzy sets with risk preference attitude. The developed UGD-PES model is then applied to a case study of Yulin city within a multi-industry, multi-emission and multi-period context, for identifying current industry-environment policies in this coal-dependent city. The obtained results can support managers identify desired system designs, which can be beneficial to construct a cleaner industrial mode and optimized industry-environment policy for relieving pressure on atmospheric environmental governance due to industrial emissions.