IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4548-d844609.html
   My bibliography  Save this article

Investigation and Optimisation of the Steady-State Model of a Coke Oven Gas Purification Process

Author

Listed:
  • Nikolett Radó-Fóty

    (Department of Process Engineering, University of Pannonia, Egyetem St. 10., 8200 Veszprém, Hungary)

  • Attila Egedy

    (Department of Process Engineering, University of Pannonia, Egyetem St. 10., 8200 Veszprém, Hungary)

  • Lajos Nagy

    (Department of Process Engineering, University of Pannonia, Egyetem St. 10., 8200 Veszprém, Hungary)

  • Iván Hegedűs

    (ISD Kokszoló Kft., Vasmű Sq. 1-3., 2400 Dunaújváros, Hungary)

Abstract

Turbulences in energy prices have a major effect on the energy industry. These disturbances should allow more efficient operation and the optimisation of technologies, leading to more versatile operation with model-based methods. In our study, a coke oven gas purification system was examined. The system consists of three columns, which interact and are modelled in Aspen Plus. After identifying the steady-state model, sensitivity analyses were conducted to obtain more information on the effects of the parameters that can and cannot be influenced by operating circumstances. Finally, the model was used to carry out optimisation studies to find the most beneficial operating conditions under the gas composition requirements. Two optimisation strategies were examined. In the case when only the purity was concerned, 0.54 g/Nm 3 , 0.01 g/Nm 3 , and 0.03 g/Nm 3 concentrations were found for H 2 S, NH 3 , and HCN, respectively. However, when the washing water temperature was included, the concentrations of H 2 S, NH 3 , and HCN increased to 1 g/Nm 3 , 0.5 g/Nm 3 , and 0.04 g/Nm 3 , still below the environmental regulations. However, the latter case will be more feasible energetically because it can be completed without using refrigeration and facilitates lower washing water streams.

Suggested Citation

  • Nikolett Radó-Fóty & Attila Egedy & Lajos Nagy & Iván Hegedűs, 2022. "Investigation and Optimisation of the Steady-State Model of a Coke Oven Gas Purification Process," Energies, MDPI, vol. 15(13), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4548-:d:844609
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4548/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/13/4548/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aminu, Nasir, 2019. "Energy prices volatility and the United Kingdom: Evidence from a dynamic stochastic general equilibrium model," Energy, Elsevier, vol. 172(C), pages 487-497.
    Full references (including those not matched with items on IDEAS)

    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. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.
    2. Meng Yan & Kai Shi, 2021. "Evidence on clean energy consumption and business cycle: A global perspective," Natural Resources Forum, Blackwell Publishing, vol. 45(3), pages 230-255, August.
    3. Zhang, Yanfang & Shi, Xunpeng & Qian, Xiangyan & Chen, Sai & Nie, Rui, 2021. "Macroeconomic effect of energy transition to carbon neutrality: Evidence from China's coal capacity cut policy," Energy Policy, Elsevier, vol. 155(C).
    4. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.
    5. Acocella, Nicola & Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco & Felici, Francesco & Alleva, Giorgio & Di Dio, Fabio & Liseo, Brunero, 2020. "A stochastic estimated version of the Italian dynamic General Equilibrium Model," Economic Modelling, Elsevier, vol. 92(C), pages 339-357.
    6. Yildirim, Zekeriya & Arifli, Arif, 2021. "Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy," Energy, Elsevier, vol. 219(C).
    7. Pan, Xiongfeng & Xu, Haitao & Li, Mengna & Zong, Tianjiao & Lee, Chew Tin & Lu, Yuduo, 2020. "Environmental expenditure spillovers: Evidence from an estimated multi-area DSGE model," Energy Economics, Elsevier, vol. 86(C).
    8. He, Yongda & Lin, Boqiang, 2019. "Regime differences and industry heterogeneity of the volatility transmission from the energy price to the PPI," Energy, Elsevier, vol. 176(C), pages 900-916.
    9. Willi Semmler & Fabio Della Rossa & Giuseppe Orlando & Gabriel R. Padro Rosario & Levent Kockesen, 2023. "Endogenous Economic Resilience, Loss of Resilience, Persistent Cycles, Multiple Attractors, and Disruptive Contractions," Working Papers 2309, New School for Social Research, Department of Economics.
    10. Shangle, Ai & Solaymani, Saeed, 2020. "Responses of monetary policies to oil price changes in Malaysia," Energy, Elsevier, vol. 200(C).
    11. Amin, Sakib & Jamasb, Tooraj & Llorca, Manuel & Marsiliani, Laura & Renström, Thomas I. & Sarkar, Agnirup, 2021. "Captive power, market access and macroeconomic performance: Reforming the Bangladesh electricity sector," Energy Economics, Elsevier, vol. 102(C).
    12. Chiah, Mardy & Phan, Dinh Hoang Bach & Tran, Vuong Thao & Zhong, Angel, 2022. "Energy price uncertainty and the value premium," International Review of Financial Analysis, Elsevier, vol. 81(C).

    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:gam:jeners:v:15:y:2022:i:13:p:4548-:d:844609. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.