Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model. (1st March 2021)
- Record Type:
- Journal Article
- Title:
- Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model. (1st March 2021)
- Main Title:
- Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model
- Authors:
- Han, Yongming
Liu, Shuang
Geng, Zhiqiang
Gu, Hengchang
Qu, Yixin - Abstract:
- Abstract: Improving production efficiency and optimizing resources can accelerate the sustained and stable development of complex chemical processes. This paper presents novel energy analysis and resource optimization model based on data envelopment analysis cross-model integrated interpretative structural model and analytic hierarchy process to effectively simplify input indicators. The interpretative structural model can divide production data with many uncertain dimensions into some sub-elements with obvious hierarchical relationships. Then the sub-elements in the same layer are merged into a major element by the analytic hierarchy process method for further simplifying input indicators of the improved DEACM. At last, the proposed method is used to build the energy analysis and resource optimization model for PTA and ethylene production systems in complex chemical processes. In our experiments, the difference in efficiency values obtained by the proposed model is more significant and accurate. In addition, it can optimize production efficiency and guide ineffective production processes. The electrical conductivity of the purified terephthalic acid systems can reduce by 0.47%. And the ethylene production of the ethylene production systems can increase by 3.93%, and the carbon emissions of the ethylene production system can reduce by 25, 297 tons approximately. Graphical abstract: Image 1 Highlights: A novel DEA cross-model is proposed. Energy analysis and resourcesAbstract: Improving production efficiency and optimizing resources can accelerate the sustained and stable development of complex chemical processes. This paper presents novel energy analysis and resource optimization model based on data envelopment analysis cross-model integrated interpretative structural model and analytic hierarchy process to effectively simplify input indicators. The interpretative structural model can divide production data with many uncertain dimensions into some sub-elements with obvious hierarchical relationships. Then the sub-elements in the same layer are merged into a major element by the analytic hierarchy process method for further simplifying input indicators of the improved DEACM. At last, the proposed method is used to build the energy analysis and resource optimization model for PTA and ethylene production systems in complex chemical processes. In our experiments, the difference in efficiency values obtained by the proposed model is more significant and accurate. In addition, it can optimize production efficiency and guide ineffective production processes. The electrical conductivity of the purified terephthalic acid systems can reduce by 0.47%. And the ethylene production of the ethylene production systems can increase by 3.93%, and the carbon emissions of the ethylene production system can reduce by 25, 297 tons approximately. Graphical abstract: Image 1 Highlights: A novel DEA cross-model is proposed. Energy analysis and resources optimization model is obtained. Energy saving of PTA production plants is about 3.93%. Energy saving of ethylene production plants is about 0.47%. Carbon emission reduction of ethylene production plants is about 25, 297 Tons. … (more)
- Is Part Of:
- Energy. Volume 218(2021)
- Journal:
- Energy
- Issue:
- Volume 218(2021)
- Issue Display:
- Volume 218, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 218
- Issue:
- 2021
- Issue Sort Value:
- 2021-0218-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-01
- Subjects:
- Energy saving -- Resources optimization -- DEA cross-Model -- Interpretative structural model -- Analytic hierarchy process -- Complex chemical processes
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2020.119508 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15488.xml