Open Access
| Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
|---|---|---|
| Article Number | 03026 | |
| Number of page(s) | 5 | |
| Section | Carbon Emission Research and Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202452803026 | |
| Published online | 28 May 2024 | |
- Zeng Chen. Assessment of energy saving and emission reduction efficiency and its coordination with economic benefits by regions in China[D]. Changsha: Hunan University, 2014. [Google Scholar]
- Andersen J. P., Hyman B. Energy and material flow models for the US steel industry[J]. Energy, 2001, 26(2):137–159. [CrossRef] [Google Scholar]
- Liu L., Lu A., Lu Z., et al. Effect of material flows on energy intensity in process industries[J]. Energy, 2006, 31(12):1870–1882. [CrossRef] [Google Scholar]
- Dutta G., Sinha G. P., Roy P.N., et al. A Linear Programming Model for Distribution of Electrical Energy in a Steel Plant[J]. International Transactions in Operational Research, 1994, 1(1):17–29. [CrossRef] [Google Scholar]
- Chen Guang. Energy modeling of steel enterprises and dynamic simulation of their oxygen systems [D]. Shenyang: Northeastern University, 2002. [Google Scholar]
- Yin Ruiyu. Analysis and integration of steel manufacturing processes[J]. Journal of Metals, 2000, 36(10):1077–1084. [Google Scholar]
- Wang J. J., Cai Jiuju, Zhang Q. et al. Modeling energy flow in iron and steel enterprises[J]. China Metallurgy, 2006, 16(5):48–52. [Google Scholar]
- Alla H., David R. Continuous and hybrid Petri nets. Cricuits systems and computers, 1998, 8(1):159–188. [CrossRef] [Google Scholar]
- David R., Alla H. On hybrid Petri nets. Discrete event dynamic system theory and applications, 2001, 11(1):9–40. [CrossRef] [Google Scholar]
- Yan-Jun L. U., Dai H. P. Hybrid Petri net modeling for urban traffic network[J]. Journal of Zhejiang University, 2007. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.