[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

S Ma, W Ding, Y Liu, S Ren, H Yang - Applied energy, 2022 - Elsevier
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …

[HTML][HTML] Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries

S Ma, Y Huang, Y Liu, H Liu, Y Chen, J Wang, J Xu - Applied Energy, 2023 - Elsevier
Abstract In Industry 4.0, the production data obtained from the Internet of Things has reached
the magnitude of big data with the emergence of advanced information and communication …

A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub

H Zhang, W Sun, W Li, G Ma - Applied Energy, 2022 - Elsevier
In the context of carbon neutrality, accurate carbon accounting is urgently needed for energy-
intensive industries, such as the iron and steel industry. However, methods based on black …

[HTML][HTML] Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries

S Ma, Y Zhang, Y Liu, H Yang, J Lv, S Ren - Journal of Cleaner Production, 2020 - Elsevier
The circular economy plays an important role in energy-intensive industries, aiming to
contribute to ethical sustainable societal development. Energy demand response is a key …

Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods

J Yang, W Cai, M Ma, L Li, C Liu, X Ma, L Li… - Science of the Total …, 2020 - Elsevier
Anthropogenic carbon emission gives rise to a situation where global warming is becoming
serious. China is paying for reducing carbon emissions. The concept of carbon curse …

Driving factors and decoupling analysis of fossil fuel related-carbon dioxide emissions in China

XG Wang, L Yan - Fuel, 2022 - Elsevier
Decoupling of economic development and greenhouse gas (GHG) emissions signals that
economic activity has entered the stage of sustainable development. If China, as the largest …

Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT

B Liu, Y Zhang, G Zhang, P Zheng - Advanced Engineering Informatics, 2019 - Elsevier
The rapid booming of advanced information and communication technologies (ICT) has
promoted an encouraging smart, connected product (SCP) market that further triggers the …

Big data driven predictive production planning for energy-intensive manufacturing industries

S Ma, Y Zhang, J Lv, Y Ge, H Yang, L Li - Energy, 2020 - Elsevier
Improving energy and resource efficiency in manufacturing is an important goal for
enterprises to sustain their competitive advantages. Predictive production planning is a new …

Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China

S Ma, Y Zhang, J Lv, S Ren, H Yang, C Wang - Advanced Engineering …, 2022 - Elsevier
Cleaner production is an effective strategy for improving material utilization, reducing energy
consumption, maximizing product output, and minimizing emissions during the entire …

Environmental and economic performance of an integrated municipal solid waste treatment: A Chinese case study

Z Wang, J Lv, F Gu, J Yang, J Guo - Science of the Total Environment, 2020 - Elsevier
The application of integrated municipal solid waste (MSW) management has become
increasingly common for the mitigation of the ever-growing MSW stream. However, despite …