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Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

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  1. Porzio, Giacomo Filippo & Nastasi, Gianluca & Colla, Valentina & Vannucci, Marco & Branca, Teresa Annunziata, 2014. "Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork," Applied Energy, Elsevier, vol. 136(C), pages 1085-1097.
  2. Li, Yuan & Zhu, Lei, 2014. "Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector," Applied Energy, Elsevier, vol. 130(C), pages 603-616.
  3. Matino, Ismael & Dettori, Stefano & Colla, Valentina & Weber, Valentine & Salame, Sahar, 2019. "Forecasting blast furnace gas production and demand through echo state neural network-based models: Pave the way to off-gas optimized management," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  4. Cerovac, Tin & Ćosić, Boris & Pukšec, Tomislav & Duić, Neven, 2014. "Wind energy integration into future energy systems based on conventional plants – The case study of Croatia," Applied Energy, Elsevier, vol. 135(C), pages 643-655.
  5. Lei Wen & Fei Yan, 2018. "Regional differences and influencing factors in the CO2 emissions of China’s power industry based on the panel data models considering power-consuming efficiency factor," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 1987-2007, October.
  6. Tzen-Ying Ling & Wei-Kai Hung & Chun-Tsu Lin & Michael Lu, 2020. "Dealing with Green Gentrification and Vertical Green-Related Urban Well-Being: A Contextual-Based Design Framework," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
  7. Wu, Junnian & Wang, Ruiqi & Pu, Guangying & Qi, Hang, 2016. "Integrated assessment of exergy, energy and carbon dioxide emissions in an iron and steel industrial network," Applied Energy, Elsevier, vol. 183(C), pages 430-444.
  8. Yuan, Yuxing & Na, Hongming & Du, Tao & Qiu, Ziyang & Sun, Jingchao & Yan, Tianyi & Che, Zichang, 2023. "Multi-objective optimization and analysis of material and energy flows in a typical steel plant," Energy, Elsevier, vol. 263(PD).
  9. Yue Dou & Muhammad Shahbaz & Kangyin Dong & Xiucheng Dong, 2022. "How natural disasters affect carbon emissions: the global case," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1875-1901, September.
  10. Flavio R. Arroyo M. & Luis J. Miguel, 2019. "The Trends of the Energy Intensity and CO 2 Emissions Related to Final Energy Consumption in Ecuador: Scenarios of National and Worldwide Strategies," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
  11. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
  12. Xu, Tengfang & Karali, Nihan & Sathaye, Jayant, 2014. "Undertaking high impact strategies: The role of national efficiency measures in long-term energy and emission reduction in steel making," Applied Energy, Elsevier, vol. 122(C), pages 179-188.
  13. Porzio, Giacomo Filippo & Colla, Valentina & Fornai, Barbara & Vannucci, Marco & Larsson, Mikael & Stripple, Håkan, 2016. "Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap," Applied Energy, Elsevier, vol. 161(C), pages 656-672.
  14. Gonzalez Hernandez, Ana & Lupton, Richard C. & Williams, Chris & Cullen, Jonathan M., 2018. "Control data, Sankey diagrams, and exergy: Assessing the resource efficiency of industrial plants," Applied Energy, Elsevier, vol. 218(C), pages 232-245.
  15. Abdul Quader, M. & Ahmed, Shamsuddin & Dawal, S.Z. & Nukman, Y., 2016. "Present needs, recent progress and future trends of energy-efficient Ultra-Low Carbon Dioxide (CO2) Steelmaking (ULCOS) program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 537-549.
  16. Olimpia Neagu & Mircea Constantin Teodoru, 2019. "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
  17. Xiuqin Zhang & Xudong Shi & Yasir Khan & Majid Khan & Saba Naz & Taimoor Hassan & Chenchen Wu & Tahir Rahman, 2023. "The Impact of Energy Intensity, Energy Productivity and Natural Resource Rents on Carbon Emissions in Morocco," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
  18. Wang, Chunyan & Wang, Ranran & Hertwich, Edgar & Liu, Yi, 2017. "A technology-based analysis of the water-energy-emission nexus of China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 116-128.
  19. Suopajärvi, Hannu & Pongrácz, Eva & Fabritius, Timo, 2014. "Bioreducer use in Finnish blast furnace ironmaking – Analysis of CO2 emission reduction potential and mitigation cost," Applied Energy, Elsevier, vol. 124(C), pages 82-93.
  20. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
  21. Wang, Hong & Wu, Jun-Jun & Zhu, Xun & Liao, Qiang & Zhao, Liang, 2016. "Energy–environment–economy evaluations of commercial scale systems for blast furnace slag treatment: Dry slag granulation vs. water quenching," Applied Energy, Elsevier, vol. 171(C), pages 314-324.
  22. Patrick Breun & Magnus Fröhling & Konrad Zimmer & Frank Schultmann, 2017. "Analyzing investment strategies under changing energy and climate policies: an interdisciplinary bottom-up approach regarding German metal industries," Journal of Business Economics, Springer, vol. 87(1), pages 5-39, January.
  23. Pinto, Raphael Guimarães D. & Szklo, Alexandre S. & Rathmann, Regis, 2018. "CO2 emissions mitigation strategy in the Brazilian iron and steel sector–From structural to intensity effects," Energy Policy, Elsevier, vol. 114(C), pages 380-393.
  24. May, Gökan & Stahl, Bojan & Taisch, Marco, 2016. "Energy management in manufacturing: Toward eco-factories of the future – A focus group study," Applied Energy, Elsevier, vol. 164(C), pages 628-638.
  25. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
  26. Baklacioglu, Tolga & Turan, Onder & Aydin, Hakan, 2015. "Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks," Energy, Elsevier, vol. 86(C), pages 709-721.
  27. Cai, Wei & Liu, Fei & Zhou, XiaoNa & Xie, Jun, 2016. "Fine energy consumption allowance of workpieces in the mechanical manufacturing industry," Energy, Elsevier, vol. 114(C), pages 623-633.
  28. Cai, Wei & Liu, Fei & Zhang, Hua & Liu, Peiji & Tuo, Junbo, 2017. "Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement," Applied Energy, Elsevier, vol. 202(C), pages 715-725.
  29. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  30. Zetterholm, J. & Ji, X. & Sundelin, B. & Martin, P.M. & Wang, C., 2017. "Dynamic modelling for the hot blast stove," Applied Energy, Elsevier, vol. 185(P2), pages 2142-2150.
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