IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v173y2019icp598-609.html
   My bibliography  Save this article

A novel modification on preheating process of natural gas in pressure reduction stations to improve energy consumption, exergy destruction and CO2 emission: Preheating based on real demand

Author

Listed:
  • Olfati, Mohammad
  • Bahiraei, Mehdi
  • Veysi, Farzad

Abstract

One of the tools for optimizing energy systems is the design of the system output based on real (desired) demand. Thermodynamic performance of natural gas pressure reduction stations are functions of inlet conditions. In order to investigate the impacts of changes in inlet pressure and temperature on performance of a natural gas pressure reduction station, energy consumption and exergy destruction of a natural gas pressure reduction station of 10,000 SCMH are evaluated for different inlet conditions. In order to improve the station performance, a novel modification is proposed in the present research based on the real demand of preheating, wherein thermodynamic operation of the regulator is modeled and minimum pre-heating temperature of natural gas is calculated based on desirable temperature at the regulator outlet (natural gas hydrate formation temperature). Indeed, once the temperature at the heater outlet reaches the calculated minimum temperature, the heater is turned off. Compared to conventional stations, the modified station exhibits at least 33% and 15% reductions in energy consumption and exergy destruction, respectively. The results of investigating the performance of two sample stations also show that by implementing the proposed modification, CO2 emission can be reduced by up to 80% or even higher.

Suggested Citation

  • Olfati, Mohammad & Bahiraei, Mehdi & Veysi, Farzad, 2019. "A novel modification on preheating process of natural gas in pressure reduction stations to improve energy consumption, exergy destruction and CO2 emission: Preheating based on real demand," Energy, Elsevier, vol. 173(C), pages 598-609.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:598-609
    DOI: 10.1016/j.energy.2019.02.090
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219302853
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.02.090?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. Liu, Yongge & Hou, Jian & Zhao, Haifeng & Liu, Xiaoyu & Xia, Zhizeng, 2018. "A method to recover natural gas hydrates with geothermal energy conveyed by CO2," Energy, Elsevier, vol. 144(C), pages 265-278.
    2. Berger, Matthias & Worlitschek, Jörg, 2018. "A novel approach for estimating residential space heating demand," Energy, Elsevier, vol. 159(C), pages 294-301.
    3. Olfati, Mohammad & Bahiraei, Mehdi & Heidari, Setareh & Veysi, Farzad, 2018. "A comprehensive analysis of energy and exergy characteristics for a natural gas city gate station considering seasonal variations," Energy, Elsevier, vol. 155(C), pages 721-733.
    4. Su, Huai & Zhang, Jinjun & Zio, Enrico & Yang, Nan & Li, Xueyi & Zhang, Zongjie, 2018. "An integrated systemic method for supply reliability assessment of natural gas pipeline networks," Applied Energy, Elsevier, vol. 209(C), pages 489-501.
    5. da Silva, Julio A.M. & de Oliveira Junior, S., 2018. "Unit exergy cost and CO2 emissions of offshore petroleum production," Energy, Elsevier, vol. 147(C), pages 757-766.
    6. Ahmadian Behrooz, Hesam & Boozarjomehry, R. Bozorgmehry, 2017. "Dynamic optimization of natural gas networks under customer demand uncertainties," Energy, Elsevier, vol. 134(C), pages 968-983.
    7. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    8. Kazas, Georgios & Fabrizio, Enrico & Perino, Marco, 2017. "Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study," Applied Energy, Elsevier, vol. 193(C), pages 243-262.
    9. Putna, Ondřej & Janošťák, František & Šomplák, Radovan & Pavlas, Martin, 2018. "Demand modelling in district heating systems within the conceptual design of a waste-to-energy plant," Energy, Elsevier, vol. 163(C), pages 1125-1139.
    10. Crow, Daniel J.G. & Giarola, Sara & Hawkes, Adam D., 2018. "A dynamic model of global natural gas supply," Applied Energy, Elsevier, vol. 218(C), pages 452-469.
    11. Farzaneh-Gord, M. & Arabkoohsar, A. & Deymi Dasht-bayaz, M. & Machado, L. & Koury, R.N.N., 2014. "Energy and exergy analysis of natural gas pressure reduction points equipped with solar heat and controllable heaters," Renewable Energy, Elsevier, vol. 72(C), pages 258-270.
    12. Xiong, Yaxuan & An, Shuo & Xu, Peng & Ding, Yulong & Li, Chuan & Zhang, Qunli & Chen, Hongbing, 2018. "A novel expander-depending natural gas pressure regulation configuration: Performance analysis," Applied Energy, Elsevier, vol. 220(C), pages 21-35.
    13. Zhang, Xiaochun & Myhrvold, Nathan P. & Hausfather, Zeke & Caldeira, Ken, 2016. "Climate benefits of natural gas as a bridge fuel and potential delay of near-zero energy systems," Applied Energy, Elsevier, vol. 167(C), pages 317-322.
    14. Jannatabadi, Mohsen & Farzaneh-Gord, Mahmood & Rahbari, Hamid Reza & Nersi, Abolfazl, 2018. "Energy and exergy analysis of reciprocating natural gas expansion engine based on valve configurations," Energy, Elsevier, vol. 158(C), pages 986-1000.
    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. Olfati, Mohammad & Bahiraei, Mehdi & Nazari, Saeed & Veysi, Farzad, 2020. "A comprehensive assessment of low-temperature preheating process in natural gas pressure reduction stations to better benefit from solar energy," Energy, Elsevier, vol. 209(C).
    2. Mirzaei, Danesh & Behbahaninia, Ali & Abdalisousan, Ashkan & Miri Lavasani, Seyed Mohammadreza, 2023. "A novel approach to repair time prediction and availability assessment of the equipment in power generation systems using fuzzy logic and Monte Carlo simulation," Energy, Elsevier, vol. 282(C).
    3. Jaime Guerrero & Antonio Alcaide-Moreno & Ana González-Espinosa & Roberto Arévalo & Lev Tunkel & María Dolores Storch de Gracia & Eduardo García-Rosales, 2023. "Reducing Energy Consumption and CO 2 Emissions in Natural Gas Preheating Stations Using Vortex Tubes," Energies, MDPI, vol. 16(13), pages 1-20, June.

    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. Yu, Weichao & Song, Shangfei & Li, Yichen & Min, Yuan & Huang, Weihe & Wen, Kai & Gong, Jing, 2018. "Gas supply reliability assessment of natural gas transmission pipeline systems," Energy, Elsevier, vol. 162(C), pages 853-870.
    2. Yu, Weichao & Gong, Jing & Song, Shangfei & Huang, Weihe & Li, Yichen & Zhang, Jie & Hong, Bingyuan & Zhang, Ye & Wen, Kai & Duan, Xu, 2019. "Gas supply reliability analysis of a natural gas pipeline system considering the effects of underground gas storages," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Alizadeh, Araz & Ghadamian, Hossein & Aminy, Mohammad & Hoseinzadeh, Siamak & Khodayar Sahebi, Hamed & Sohani, Ali, 2022. "An experimental investigation on using heat pipe heat exchanger to improve energy performance in gas city gate station," Energy, Elsevier, vol. 252(C).
    4. Piero Danieli & Gianluca Carraro & Andrea Lazzaretto, 2020. "Thermodynamic and Economic Feasibility of Energy Recovery from Pressure Reduction Stations in Natural Gas Distribution Networks," Energies, MDPI, vol. 13(17), pages 1-19, August.
    5. Chen, Ying & Koch, Thorsten & Zakiyeva, Nazgul & Zhu, Bangzhu, 2020. "Modeling and forecasting the dynamics of the natural gas transmission network in Germany with the demand and supply balance constraint," Applied Energy, Elsevier, vol. 278(C).
    6. Xu, Xiao & Cai, Liang & Chen, Tao & Zhan, Zhixing, 2021. "Analysis and optimization of a natural gas multi-stage expansion plant integrated with a gas engine-driven heat pump," Energy, Elsevier, vol. 236(C).
    7. Xiong, Yaxuan & Zhang, Aitonglu & Peng, Xiaodong & Yao, Chenhua & Wang, Nan & Wu, Yuting & Xu, Qian & Ma, Chongfang, 2023. "Investigation of a sole gas expander for gas pressure regulation and energy recovery," Energy, Elsevier, vol. 281(C).
    8. Zhou, Dengji & Jia, Xingyun & Ma, Shixi & Shao, Tiemin & Huang, Dawen & Hao, Jiarui & Li, Taotao, 2022. "Dynamic simulation of natural gas pipeline network based on interpretable machine learning model," Energy, Elsevier, vol. 253(C).
    9. Olfati, Mohammad & Bahiraei, Mehdi & Nazari, Saeed & Veysi, Farzad, 2020. "A comprehensive assessment of low-temperature preheating process in natural gas pressure reduction stations to better benefit from solar energy," Energy, Elsevier, vol. 209(C).
    10. Corrado lo Storto, 2019. "An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure," Energies, MDPI, vol. 12(23), pages 1-18, December.
    11. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    12. Devine, Mel T. & Russo, Marianna, 2019. "Liquefied natural gas and gas storage valuation: Lessons from the integrated Irish and UK markets," Applied Energy, Elsevier, vol. 238(C), pages 1389-1406.
    13. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    14. Kai Wen & Hailong Xu & Wei Qi & Haichuan Li & Yichen Li & Bingyuan Hong, 2023. "Heat Transfer Model of Natural Gas Pipeline Based on Data Feature Extraction and First Principle Models," Energies, MDPI, vol. 16(3), pages 1-21, January.
    15. Chi, Lixun & Su, Huai & Zio, Enrico & Zhang, Jinjun & Li, Xueyi & Zhang, Li & Fan, Lin & Zhou, Jing & Bai, Hua, 2020. "Integrated Deterministic and Probabilistic Safety Analysis of Integrated Energy Systems with bi-directional conversion," Energy, Elsevier, vol. 212(C).
    16. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan," Energy, Elsevier, vol. 219(C).
    17. Zhu, Jianhua & Peng, Yan & Gong, Zhuping & Sun, Yanming & Lai, Chaoan & Wang, Qing & Zhu, Xiaojun & Gan, Zhongxue, 2019. "Dynamic analysis of SNG and PNG supply: The stability and robustness view #," Energy, Elsevier, vol. 185(C), pages 717-729.
    18. Wang, Xiaolin & Zhang, Fengyuan & Lipiński, Wojciech, 2020. "Research progress and challenges in hydrate-based carbon dioxide capture applications," Applied Energy, Elsevier, vol. 269(C).
    19. Beyza, Jesus & Ruiz-Paredes, Hector F. & Garcia-Paricio, Eduardo & Yusta, Jose M., 2020. "Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    20. Zhang, Xiaolei & Hu, Longhua & Delichatsios, Michael A. & Zhang, Jianping, 2019. "Experimental study on flame morphologic characteristics of wall attached non-premixed buoyancy driven turbulent flames," Applied Energy, Elsevier, vol. 254(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:eee:energy:v:173:y:2019:i:c:p:598-609. 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.journals.elsevier.com/energy .

    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.