IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v54y2013icp194-203.html
   My bibliography  Save this article

Integrated technology selection for energy conservation and PAHs control in iron and steel industry: Methodology and case study

Author

Listed:
  • Li, Li
  • Lu, Yonglong
  • Shi, Yajuan
  • Wang, Tieyu
  • Luo, Wei
  • Gosens, Jorrit
  • Chen, Peng
  • Li, Haiqian

Abstract

Energy conservation and PAHs (polycyclic aromatic hydrocarbon) control are two challenges for the iron and steel industry, especially where the industry has developed at high speed. How to select appropriate technologies to improve energy efficiency and control pollution from PAHs simultaneously is encountered by both the researchers and the decision makers. This study sets up a framework on technology selection and combination which integrates technology assessment, multiple objective programming and scenario analysis. It can predict proper technology combination for different emission controls, energy conservation targets and desired levels of production. An iron and steel factory in Southwestern China is cited as a case. It is shown that stricter PAHs control will drive the transformation from process control technology to alternative smelting technology. In low PAHs limit, 25% energy reduction is a threshold. Before inclusion of a restraint on energy consumption at 25% reduction, PAHs emission is the key limiting factor for the technology selection; while after inclusion of this restraint, energy consumption becomes the key limiting factor. The desired level of production will also influence the technology selection. This study can help decision makers to select appropriate technologies to meet the PAHs control objectives and energy conservation strategies in energy-intensive industries.

Suggested Citation

  • Li, Li & Lu, Yonglong & Shi, Yajuan & Wang, Tieyu & Luo, Wei & Gosens, Jorrit & Chen, Peng & Li, Haiqian, 2013. "Integrated technology selection for energy conservation and PAHs control in iron and steel industry: Methodology and case study," Energy Policy, Elsevier, vol. 54(C), pages 194-203.
    • Handle: RePEc:eee:enepol:v:54:y:2013:i:c:p:194-203
    DOI: 10.1016/j.enpol.2012.11.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421512009871
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2012.11.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    2. Geng, Jing & Lu, Yonglong & Wang, Tieyu & Giesy, John P. & Chen, Chunli, 2010. "Effects of energy conservation in major energy-intensive industrial sectors on emissions of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans in China," Energy Policy, Elsevier, vol. 38(5), pages 2346-2356, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    2. Quader, M. Abdul & Ahmed, Shamsuddin & Ghazilla, Raja Ariffin Raja & Ahmed, Shameem & Dahari, Mahidzal, 2015. "A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 594-614.
    3. 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.
    4. Lin, Boqiang & Wang, Xiaolei, 2014. "Promoting energy conservation in China's iron & steel sector," Energy, Elsevier, vol. 73(C), pages 465-474.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    2. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    3. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    4. Asante, Dennis & He, Zheng & Adjei, Nana Osae & Asante, Bismark, 2020. "Exploring the barriers to renewable energy adoption utilising MULTIMOORA- EDAS method," Energy Policy, Elsevier, vol. 142(C).
    5. Deng, Yanfei & Xu, Jiuping & Liu, Ying & Mancl, Karen, 2014. "Biogas as a sustainable energy source in China: Regional development strategy application and decision making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 294-303.
    6. Ricardo Echeverri Mart nez & Eduardo Caicedo Bravo & Wilfredo Alfonso Morales & Juan David Garcia-Racines, 2020. "A Bi-level Multi-objective Optimization Model for the Planning, Design and Operation of Smart Grid Projects. Case Study: An Islanded Microgrid," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 325-341.
    7. Pınar Kaya Samut, 2017. "Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(3), pages 427-450, May.
    8. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    9. Nasrollahi, Sadaf & Kazemi, Aliyeh & Jahangir, Mohammad-Hossein & Aryaee, Sara, 2023. "Selecting suitable wave energy technology for sustainable development, an MCDM approach," Renewable Energy, Elsevier, vol. 202(C), pages 756-772.
    10. Aikaterini Papapostolou & Charikleia Karakosta & Kalliopi-Anastasia Kourti & Haris Doukas & John Psarras, 2019. "Supporting Europe’s Energy Policy Towards a Decarbonised Energy System: A Comparative Assessment," Sustainability, MDPI, vol. 11(15), pages 1-26, July.
    11. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    12. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    13. Yang, Fuxia & Yang, Mian, 2015. "Analysis on China's eco-innovations: Regulation context, intertemporal change and regional differences," European Journal of Operational Research, Elsevier, vol. 247(3), pages 1003-1012.
    14. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    15. Ahammed, Faisal & Azeem, Abdullahil, 2013. "Selection of the most appropriate package of Solar Home System using Analytic Hierarchy Process model in rural areas of Bangladesh," Renewable Energy, Elsevier, vol. 55(C), pages 6-11.
    16. Oryani, Bahareh & Koo, Yoonmo & Rezania, Shahabaldin & Shafiee, Afsaneh, 2021. "Barriers to renewable energy technologies penetration: Perspective in Iran," Renewable Energy, Elsevier, vol. 174(C), pages 971-983.
    17. Doukas, Haris, 2013. "Modelling of linguistic variables in multicriteria energy policy support," European Journal of Operational Research, Elsevier, vol. 227(2), pages 227-238.
    18. Cho, Sangmin & Kim, Jinsoo & Heo, Eunnyeong, 2015. "Application of fuzzy analytic hierarchy process to select the optimal heating facility for Korean horticulture and stockbreeding sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1075-1083.
    19. Ilbahar, Esra & Kahraman, Cengiz & Cebi, Selcuk, 2022. "Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP," Energy, Elsevier, vol. 239(PA).
    20. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:54:y:2013:i:c:p:194-203. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.