IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v189y2017icp221-232.html
   My bibliography  Save this article

Steady-state optimisation of a multiple cryogenic air separation unit and compressor plant

Author

Listed:
  • Adamson, Richard
  • Hobbs, Martin
  • Silcock, Andy
  • Willis, Mark J.

Abstract

The development and on-line application of a steady-state optimisation strategy for a multiple cryogenic air separation unit and compressor plant is discussed. Implemented using mixed integer linear programming (MILP), it is demonstrated that the optimiser improves site efficiency at steady state by reduction of power consumption by up to 5% (a significant saving for such an energy intensive process) while meeting customer demand specifications. This is achieved through determination of the production distribution of the air separation units and optimal load distribution of the compression network, while simultaneously ensuring network material balance and network component operating constraints are met. In addition, the work demonstrates achievable benefits of demand side load management during peak power pricing periods, using liquid oxygen as an effective energy storage device. A key constituent of the optimisation strategy is linear modelling to predict individual unit power consumption. Piece-wise linear data-based models of compressor and air separation unit power are shown to provide accurate models which improve existing on-site power prediction by up to 80% for compressors and 60% for the air separation units.

Suggested Citation

  • Adamson, Richard & Hobbs, Martin & Silcock, Andy & Willis, Mark J., 2017. "Steady-state optimisation of a multiple cryogenic air separation unit and compressor plant," Applied Energy, Elsevier, vol. 189(C), pages 221-232.
  • Handle: RePEc:eee:appene:v:189:y:2017:i:c:p:221-232
    DOI: 10.1016/j.apenergy.2016.12.061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916318244
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.12.061?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. Kopanos, Georgios M. & Xenos, Dionysios P. & Cicciotti, Matteo & Pistikopoulos, Efstratios N. & Thornhill, Nina F., 2015. "Optimization of a network of compressors in parallel: Operational and maintenance planning – The air separation plant case," Applied Energy, Elsevier, vol. 146(C), pages 453-470.
    2. Xenos, Dionysios P. & Cicciotti, Matteo & Kopanos, Georgios M. & Bouaswaig, Ala E.F. & Kahrs, Olaf & Martinez-Botas, Ricardo & Thornhill, Nina F., 2015. "Optimization of a network of compressors in parallel: Real Time Optimization (RTO) of compressors in chemical plants – An industrial case study," Applied Energy, Elsevier, vol. 144(C), pages 51-63.
    3. Pia Domschke & Bjorn Geißler & Oliver Kolb & Jens Lang & Alexander Martin & Antonio Morsi, 2011. "Combination of Nonlinear and Linear Optimization of Transient Gas Networks," INFORMS Journal on Computing, INFORMS, vol. 23(4), pages 605-617, November.
    4. Fu, Chao & Gundersen, Truls, 2012. "Using exergy analysis to reduce power consumption in air separation units for oxy-combustion processes," Energy, Elsevier, vol. 44(1), pages 60-68.
    5. Xenos, Dionysios P. & Mohd Noor, Izzati & Matloubi, Mitra & Cicciotti, Matteo & Haugen, Trond & Thornhill, Nina F., 2016. "Demand-side management and optimal operation of industrial electricity consumers: An example of an energy-intensive chemical plant," Applied Energy, Elsevier, vol. 182(C), pages 418-433.
    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. Miroslav Variny & Dominika Jediná & Miroslav Rimár & Ján Kizek & Marianna Kšiňanová, 2021. "Cutting Oxygen Production-Related Greenhouse Gas Emissions by Improved Compression Heat Management in a Cryogenic Air Separation Unit," IJERPH, MDPI, vol. 18(19), pages 1-32, October.
    2. Otashu, Joannah I. & Baldea, Michael, 2020. "Scheduling chemical processes for frequency regulation," Applied Energy, Elsevier, vol. 260(C).
    3. Kelley, Morgan T. & Pattison, Richard C. & Baldick, Ross & Baldea, Michael, 2018. "An MILP framework for optimizing demand response operation of air separation units," Applied Energy, Elsevier, vol. 222(C), pages 951-966.
    4. Ghaib, Karim & Ben-Fares, Fatima-Zahrae, 2018. "Power-to-Methane: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 433-446.
    5. Miroslav Variny & Dominika Jediná & Patrik Furda, 2021. "Comment on Hamayun et al. Evaluation of Two-Column Air Separation Processes Based on Exergy Analysis. Energies 2020, 13 , 6361," Energies, MDPI, vol. 14(20), pages 1-8, October.
    6. Zhang, Liu & Zheng, Zhong & Chai, Yi & Xu, Zhaojun & Zhang, Kaitian & Liu, Yu & Chen, Sujun & Zhao, Liuqiang, 2023. "ASU model with multiple adjustment types for oxygen scheduling concerning pipe pressure safety in steel enterprises," Applied Energy, Elsevier, vol. 343(C).
    7. Otashu, Joannah I. & Baldea, Michael, 2018. "Grid-level “battery” operation of chemical processes and demand-side participation in short-term electricity markets," Applied Energy, Elsevier, vol. 220(C), pages 562-575.
    8. Laing, Harry & O'Malley, Chris & Browne, Anthony & Rutherford, Tony & Baines, Tony & Moore, Andrew & Black, Ken & Willis, Mark J., 2022. "Optimisation of energy usage and carbon emissions monitoring using MILP for an advanced anaerobic digester plant," Energy, Elsevier, vol. 256(C).
    9. Che, Gelegen & Zhang, Yanyan & Tang, Lixin & Zhao, Shengnan, 2023. "A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants," Applied Energy, Elsevier, vol. 345(C).

    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. Che, Gelegen & Zhang, Yanyan & Tang, Lixin & Zhao, Shengnan, 2023. "A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants," Applied Energy, Elsevier, vol. 345(C).
    2. Fernández, David & Pozo, Carlos & Folgado, Rubén & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano, 2017. "Multiperiod model for the optimal production planning in the industrial gases sector," Applied Energy, Elsevier, vol. 206(C), pages 667-682.
    3. Milosavljevic, Predrag & Marchetti, Alejandro G. & Cortinovis, Andrea & Faulwasser, Timm & Mercangöz, Mehmet & Bonvin, Dominique, 2020. "Real-time optimization of load sharing for gas compressors in the presence of uncertainty," Applied Energy, Elsevier, vol. 272(C).
    4. Igor Donskoy, 2023. "Techno-Economic Efficiency Estimation of Promising Integrated Oxyfuel Gasification Combined-Cycle Power Plants with Carbon Capture," Clean Technol., MDPI, vol. 5(1), pages 1-18, February.
    5. Hajo Terbrack & Thorsten Claus & Frank Herrmann, 2021. "Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme," Sustainability, MDPI, vol. 13(23), pages 1-32, December.
    6. Mengying Xue & Tianhu Deng & Zuo‐Jun Max Shen, 2019. "Optimizing natural gas pipeline transmission with nonuniform elevation: A new initialization approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(7), pages 547-564, October.
    7. Fu, Chao & Anantharaman, Rahul & Gundersen, Truls, 2015. "Optimal integration of compression heat with regenerative steam Rankine cycles in oxy-combustion coal based power plants," Energy, Elsevier, vol. 84(C), pages 612-622.
    8. Jin, Bo & Zhao, Haibo & Zheng, Chuguang & Liang, Zhiwu, 2018. "Control optimization to achieve energy-efficient operation of the air separation unit in oxy-fuel combustion power plants," Energy, Elsevier, vol. 152(C), pages 313-321.
    9. Finhold, E. & Gärtner, C. & Grindel, R. & Heller, T. & Leithäuser, N. & Röger, E. & Schirra, F., 2023. "Optimizing the marketing of flexibility for a virtual battery in day-ahead and balancing markets: A rolling horizon case study," Applied Energy, Elsevier, vol. 352(C).
    10. Kofi Afrifa Agyeman & Gyeonggak Kim & Hoonyeon Jo & Seunghyeon Park & Sekyung Han, 2020. "An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads," Energies, MDPI, vol. 13(10), pages 1-20, May.
    11. Chen, Shiqing & Dong, Xuezhi & Xu, Jian & Zhang, Hualiang & Gao, Qing & Tan, Chunqing, 2019. "Thermodynamic evaluation of the novel distillation column of the air separation unit with integration of liquefied natural gas (LNG) regasification," Energy, Elsevier, vol. 171(C), pages 341-359.
    12. Mahian, Omid & Mahmud, Shohel & Heris, Saeed Zeinali, 2012. "Analysis of entropy generation between co-rotating cylinders using nanofluids," Energy, Elsevier, vol. 44(1), pages 438-446.
    13. Zulkafli, Nur I. & Kopanos, Georgios M., 2016. "Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies," Applied Energy, Elsevier, vol. 183(C), pages 577-602.
    14. Piadehrouhi, Forough & Ghorbani, Bahram & Miansari, Mehdi & Mehrpooya, Mehdi, 2019. "Development of a new integrated structure for simultaneous generation of power and liquid carbon dioxide using solar dish collectors," Energy, Elsevier, vol. 179(C), pages 938-959.
    15. Chiara Magni & Sylvain Quoilin & Alessia Arteconi, 2022. "Evaluating the Potential Contribution of District Heating to the Flexibility of the Future Italian Power System," Energies, MDPI, vol. 15(2), pages 1-20, January.
    16. Domschke, Pia & Kolb, Oliver & Lang, Jens, 2015. "Adjoint-based error control for the simulation and optimization of gas and water supply networks," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 1003-1018.
    17. Johannes Thürauf, 2022. "Deciding the feasibility of a booking in the European gas market is coNP-hard," Annals of Operations Research, Springer, vol. 318(1), pages 591-618, November.
    18. Janusz Kotowicz & Sebastian Michalski & Mateusz Brzęczek, 2019. "The Characteristics of a Modern Oxy-Fuel Power Plant," Energies, MDPI, vol. 12(17), pages 1-34, September.
    19. Zhou, Suyang & Zhuang, Wennan & Wu, Zhi & Gu, Wei & Zhan, Xin & Liu, Zhong & Cao, Siming, 2020. "Optimized scheduling of multi-region Gas and Power Complementary system considering tiered gas tariff," Energy, Elsevier, vol. 193(C).
    20. Fu, Chao & Gundersen, Truls, 2013. "Recuperative vapor recompression heat pumps in cryogenic air separation processes," Energy, Elsevier, vol. 59(C), pages 708-718.

    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:appene:v:189:y:2017:i:c:p:221-232. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.