IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v204y2017icp254-270.html
   My bibliography  Save this article

Geochemical implications of production and storage control by coupling a direct-use geothermal system with heat networks

Author

Listed:
  • Daniilidis, Alexandros
  • Scholten, Tjardo
  • Hooghiem, Joram
  • De Persis, Claudio
  • Herber, Rien

Abstract

This paper outlines a method in which the heat production of a geothermal system is controlled in relation to the demand from a district-heating network. A model predictive control strategy is designed, which uses volume measurements in the storage tank, and predictions of the demand, to regulate the production of the geothermal system in real time. The implications of such time-varying production for the reservoir are investigated using a 2D reactive transport reservoir model. As a case study, the Groningen geothermal project is considered. The numerical data generated by the controller, in closed loop with a modelled district-heating network, are used as inputs for the reservoir simulations. The latter make use of discrete parameter analyses to evaluate the effect of pressure depletion, reservoir permeability, flow rate, re-injection temperature and injection pH on the geothermal reservoir, and also mitigate possible risks during development. Using a model predictive control does not create adverse geochemical effects in the reservoir; instead, the controller is able to improve the efficiency of the geothermal heat extraction. The findings pave the way for stronger integration between elements of heat networks and a more sustainable development of geothermal resources.

Suggested Citation

  • Daniilidis, Alexandros & Scholten, Tjardo & Hooghiem, Joram & De Persis, Claudio & Herber, Rien, 2017. "Geochemical implications of production and storage control by coupling a direct-use geothermal system with heat networks," Applied Energy, Elsevier, vol. 204(C), pages 254-270.
  • Handle: RePEc:eee:appene:v:204:y:2017:i:c:p:254-270
    DOI: 10.1016/j.apenergy.2017.06.056
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917308036
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.06.056?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. Dotzauer, Erik, 2002. "Simple model for prediction of loads in district-heating systems," Applied Energy, Elsevier, vol. 73(3-4), pages 277-284, November.
    2. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    3. Cui, Guodong & Zhang, Liang & Ren, Bo & Enechukwu, Chioma & Liu, Yanmin & Ren, Shaoran, 2016. "Geothermal exploitation from depleted high temperature gas reservoirs via recycling supercritical CO2: Heat mining rate and salt precipitation effects," Applied Energy, Elsevier, vol. 183(C), pages 837-852.
    4. Gelegenis, John J., 2009. "Use of a probabilistic model to design energy transmission and distribution networks for low enthalpy geothermal multiple use schemes," Applied Energy, Elsevier, vol. 86(3), pages 284-289, March.
    5. Barkaoui, Alae-Eddine & Boldyryev, Stanislav & Duic, Neven & Krajacic, Goran & Guzović, Zvonimir, 2016. "Appropriate integration of geothermal energy sources by Pinch approach: Case study of Croatia," Applied Energy, Elsevier, vol. 184(C), pages 1343-1349.
    6. Muñoz, Mauricio & Garat, Pablo & Flores-Aqueveque, Valentina & Vargas, Gabriel & Rebolledo, Sofía & Sepúlveda, Sergio & Daniele, Linda & Morata, Diego & Parada, Miguel Ángel, 2015. "Estimating low-enthalpy geothermal energy potential for district heating in Santiago basin–Chile (33.5 °S)," Renewable Energy, Elsevier, vol. 76(C), pages 186-195.
    7. Tokimatsu, Koji & Konishi, Satoshi & Ishihara, Keiichi & Tezuka, Tetsuo & Yasuoka, Rieko & Nishio, Masahiro, 2016. "Role of innovative technologies under the global zero emissions scenarios," Applied Energy, Elsevier, vol. 162(C), pages 1483-1493.
    8. Unternährer, Jérémy & Moret, Stefano & Joost, Stéphane & Maréchal, François, 2017. "Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy," Applied Energy, Elsevier, vol. 190(C), pages 749-763.
    9. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    10. Shortall, Ruth & Davidsdottir, Brynhildur & Axelsson, Guðni, 2015. "Geothermal energy for sustainable development: A review of sustainability impacts and assessment frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 391-406.
    11. Chen, Mingjie & Tompson, Andrew F.B. & Mellors, Robert J. & Abdalla, Osman, 2015. "An efficient optimization of well placement and control for a geothermal prospect under geological uncertainty," Applied Energy, Elsevier, vol. 137(C), pages 352-363.
    12. Østergaard, Poul Alberg & Lund, Henrik, 2011. "A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating," Applied Energy, Elsevier, vol. 88(2), pages 479-487, February.
    13. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    14. Adams, Benjamin M. & Kuehn, Thomas H. & Bielicki, Jeffrey M. & Randolph, Jimmy B. & Saar, Martin O., 2015. "A comparison of electric power output of CO2 Plume Geothermal (CPG) and brine geothermal systems for varying reservoir conditions," Applied Energy, Elsevier, vol. 140(C), pages 365-377.
    15. Huculak, Maciej & Jarczewski, Wojciech & Dej, Magdalena, 2015. "Economic aspects of the use of deep geothermal heat in district heating in Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 29-40.
    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. Watanabe, Noriaki & Saito, Kohei & Okamoto, Atsushi & Nakamura, Kengo & Ishibashi, Takuya & Saishu, Hanae & Komai, Takeshi & Tsuchiya, Noriyoshi, 2020. "Stabilizing and enhancing permeability for sustainable and profitable energy extraction from superhot geothermal environments," Applied Energy, Elsevier, vol. 260(C).
    2. Pan, Shu-Yuan & Gao, Mengyao & Shah, Kinjal J. & Zheng, Jianming & Pei, Si-Lu & Chiang, Pen-Chi, 2019. "Establishment of enhanced geothermal energy utilization plans: Barriers and strategies," Renewable Energy, Elsevier, vol. 132(C), pages 19-32.
    3. Fan, Huifang & Zhang, Luyi & Wang, Ruifei & Song, Hongqing & Xie, Hui & Du, Li & Sun, Pengguang, 2020. "Investigation on geothermal water reservoir development and utilization with variable temperature regulation: A case study of China," Applied Energy, Elsevier, vol. 275(C).
    4. Maciej Ławryńczuk, 2018. "Towards Reduced-Order Models of Solid Oxide Fuel Cell," Complexity, Hindawi, vol. 2018, pages 1-18, July.
    5. Willems, C.J.L. & M. Nick, H., 2019. "Towards optimisation of geothermal heat recovery: An example from the West Netherlands Basin," Applied Energy, Elsevier, vol. 247(C), pages 582-593.
    6. Ziabakhsh-Ganji, Zaman & Nick, Hamidreza M. & Donselaar, Marinus E. & Bruhn, David F., 2018. "Synergy potential for oil and geothermal energy exploitation," Applied Energy, Elsevier, vol. 212(C), pages 1433-1447.

    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. Daniilidis, Alexandros & Alpsoy, Betül & Herber, Rien, 2017. "Impact of technical and economic uncertainties on the economic performance of a deep geothermal heat system," Renewable Energy, Elsevier, vol. 114(PB), pages 805-816.
    2. Meibodi, Saleh S. & Loveridge, Fleur, 2022. "The future role of energy geostructures in fifth generation district heating and cooling networks," Energy, Elsevier, vol. 240(C).
    3. Soheil Kavian & Mohsen Saffari Pour & Ali Hakkaki-Fard, 2019. "Optimized Design of the District Heating System by Considering the Techno-Economic Aspects and Future Weather Projection," Energies, MDPI, vol. 12(9), pages 1-30, May.
    4. Stegnar, Gašper & Staničić, D. & Česen, M. & Čižman, J. & Pestotnik, S. & Prestor, J. & Urbančič, A. & Merše, S., 2019. "A framework for assessing the technical and economic potential of shallow geothermal energy in individual and district heating systems: A case study of Slovenia," Energy, Elsevier, vol. 180(C), pages 405-420.
    5. Soltero, V.M. & Chacartegui, R. & Ortiz, C. & Velázquez, R., 2016. "Evaluation of the potential of natural gas district heating cogeneration in Spain as a tool for decarbonisation of the economy," Energy, Elsevier, vol. 115(P3), pages 1513-1532.
    6. Michael-Allan Millar & Neil M. Burnside & Zhibin Yu, 2019. "District Heating Challenges for the UK," Energies, MDPI, vol. 12(2), pages 1-21, January.
    7. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    8. Pereverza, Kateryna & Pasichnyi, Oleksii & Lazarevic, David & Kordas, Olga, 2017. "Strategic planning for sustainable heating in cities: A morphological method for scenario development and selection," Applied Energy, Elsevier, vol. 186(P2), pages 115-125.
    9. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
    10. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
    11. Abolfazl Rezaei & Bahador Samadzadegan & Hadise Rasoulian & Saeed Ranjbar & Soroush Samareh Abolhassani & Azin Sanei & Ursula Eicker, 2021. "A New Modeling Approach for Low-Carbon District Energy System Planning," Energies, MDPI, vol. 14(5), pages 1-22, March.
    12. F. Marta L. Di Lascio & Andrea Menapace & Maurizio Righetti, 2020. "Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 373-395, June.
    13. Brand, Lisa & Calvén, Alexandra & Englund, Jessica & Landersjö, Henrik & Lauenburg, Patrick, 2014. "Smart district heating networks – A simulation study of prosumers’ impact on technical parameters in distribution networks," Applied Energy, Elsevier, vol. 129(C), pages 39-48.
    14. Michael-Allan Millar & Bruce Elrick & Greg Jones & Zhibin Yu & Neil M. Burnside, 2020. "Roadblocks to Low Temperature District Heating," Energies, MDPI, vol. 13(22), pages 1-21, November.
    15. Henchoz, Samuel & Chatelan, Patrick & Maréchal, François & Favrat, Daniel, 2016. "Key energy and technological aspects of three innovative concepts of district energy networks," Energy, Elsevier, vol. 117(P2), pages 465-477.
    16. Yuan, Jianjuan & Zhou, Zhihua & Tang, Huajie & Wang, Chendong & Lu, Shilei & Han, Zhao & Zhang, Ji & Sheng, Ying, 2020. "Identification heat user behavior for improving the accuracy of heating load prediction model based on wireless on-off control system," Energy, Elsevier, vol. 199(C).
    17. Xue, Puning & Jiang, Yi & Zhou, Zhigang & Chen, Xin & Fang, Xiumu & Liu, Jing, 2019. "Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms," Energy, Elsevier, vol. 188(C).
    18. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Dominković, D.F. & Bačeković, I. & Sveinbjörnsson, D. & Pedersen, A.S. & Krajačić, G., 2017. "On the way towards smart energy supply in cities: The impact of interconnecting geographically distributed district heating grids on the energy system," Energy, Elsevier, vol. 137(C), pages 941-960.
    20. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.

    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:204:y:2017:i:c:p:254-270. 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.