Burdening proportion and new energy-saving technologies analysis and optimization for iron and steel production system-Reference-Cited by-同舟云学术

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Burdening proportion and new energy-saving technologies analysis and optimization for iron and steel production system

Published:2018-01 Issue: Volume:172 Page:2153-2166
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Shen Xun,Chen Lingen,Xia Shaojun,Xie Zhihui,Qin Xiaoyong

Funder

National Key Basic Research and Development Program of China

National Nature Science Foundation of Naval University of Engineering

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference107 articles.

1. The influence of UK emissions reduction targets on the emissions of the global steel industry;André;Resour. Conserv. Recycl,2016

2. Costs and potential of carbon capture and storage at an integrated steel mill;Arasto;Energy Procedia,2013

3. Environmental driving forces of urban growth and development: an emergy-based assessment of the city of Rome, Italy;Ascione;Landsc. Urban Plan.,2009

4. Energy efficiency and CO2 mitigation potential of the Turkish iron and steel industry using the LEAP (long-range energy alternatives planning) system;Ates;Energy,2015

5. Environmental Accounting Using Emergy, Evaluation of the State of West Virginia;Campbell,2005

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Status, challenges, and prospects of energy efficiency improvement methods in steel production: A multi-perspective review;Energy;2024-09

2. Optimal proportioning of iron ore in sintering process based on improved multi-objective beluga whale optimisation algorithm;Journal of Iron and Steel Research International;2024-03-06

3. Optimization method for multi-process energy consumption in iron and steel enterprises under the coordinated use of comprehensive energy;Journal of Physics: Conference Series;2024-03-01

4. Muti-objective optimization on energy consumption, CO2 emission and production cost for iron and steel industry;Journal of Environmental Management;2023-12

5. Fuel-Appropriate Distribution of the Material Layer Based on Numerical Model of Sintering with Particle Swarm Optimization Algorithm;Minerals;2023-04-02

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