.png){kind=icon}
.png){kind=icon}
Return
Data driven eco-efficiency evaluation and optimization in industrial production
.png){kind=icon}
PRE
AI
DOI：10.1016/j.energy.2021.120170.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To improve the ecological efficiency (eco-efficiency) of industrial production and promote its sustainable development, we present a data-driven method for evaluating and optimizing the eco-efficiency of industrial production system. The data of industrial production system are collected and processed in a unified dimension from the perspective of emergy, then the eco-efficiency evaluation model of industrial production system is constructed to realize the quantitative evaluation, the correlation between various factors and eco-efficiency is analysed, and a date driven eco-efficiency optimization decision is built to improve eco-efficiency and production benefits in industrial production. In the application to an example in a manufacturing enterprise, the method identifies opportunity for reducing resource consumption by 8.3% and waste discharge by 6.7%, enhancing the eco-efficiency by 13.8% and production benefit by 8.1%. This paper provides theoretical and methodological support for the evaluation and optimization of ecoefficiency of industrial production system, and also provides theoretical basis for the sustainable development of industrial production. (c) 2021 Elsevier Ltd. All rights reserved.
Keywords:
Eco-efficiency
Industrial production
Data driven
Emergy
Sustainability
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.4
Papers:
4.2W
Citations:
20.2W