IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v112y2019icp788-796.html
   My bibliography  Save this article

Evaluating the global potential of aquifer thermal energy storage and determining the potential worldwide hotspots driven by socio-economic, geo-hydrologic and climatic conditions

Author

Listed:
  • Lu, Hongwei
  • Tian, Peipei
  • He, Li

Abstract

Aquifer thermal energy storage (ATES) technology has become a hotspot and urgent topic, given the increasing severity of carbon dioxide emissions and resource depletion. However, its sustainable development and effective application call for precise evaluation of the potential of ATES on a global scale. This study evaluates the global potential of ATES and finds out the potential hotspots for its application. It is a worldwide evaluation with consideration of socio-economic, geo-hydrological, climate, and groundwater factors. Results display where ATES is likely placed or has the potential for application, which show that nearly 7% of the region is a “very good” ATES prospect zone, 20% is a “good” zone, 34% is a “moderate” zone, 27% is a “poor” zone, and nearly 12% is a “very poor” zone. The combination of potential and urban maps presents potential cities suitable for large-scale application of ATES. Moreover, the evaluation results are consistent with the current development conditions of ATES. Such an evaluation is expected to provide policy recommendations for governments and stimulate ATES application to meet energy-saving and emission reduction targets.

Suggested Citation

  • Lu, Hongwei & Tian, Peipei & He, Li, 2019. "Evaluating the global potential of aquifer thermal energy storage and determining the potential worldwide hotspots driven by socio-economic, geo-hydrologic and climatic conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 788-796.
    • Handle: RePEc:eee:rensus:v:112:y:2019:i:c:p:788-796
    DOI: 10.1016/j.rser.2019.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211930406X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2019.06.013?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. Novo, Amaya V. & Bayon, Joseba R. & Castro-Fresno, Daniel & Rodriguez-Hernandez, Jorge, 2010. "Review of seasonal heat storage in large basins: Water tanks and gravel-water pits," Applied Energy, Elsevier, vol. 87(2), pages 390-397, February.
    2. Wesselink, Maxim & Liu, Wen & Koornneef, Joris & van den Broek, Machteld, 2018. "Conceptual market potential framework of high temperature aquifer thermal energy storage - A case study in the Netherlands," Energy, Elsevier, vol. 147(C), pages 477-489.
    3. Aneke, Mathew & Wang, Meihong, 2016. "Energy storage technologies and real life applications – A state of the art review," Applied Energy, Elsevier, vol. 179(C), pages 350-377.
    4. Zhou, Xuezhi & Gao, Qing & Chen, Xiangliang & Yan, Yuying & Spitler, Jeffrey D., 2015. "Developmental status and challenges of GWHP and ATES in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 973-985.
    5. Haehnlein, Stefanie & Bayer, Peter & Blum, Philipp, 2010. "International legal status of the use of shallow geothermal energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2611-2625, December.
    6. Hamada, Yasuhiro & Marutani, Kaoru & Nakamura, Makoto & Nagasaka, Shigeyuki & Ochifuji, Kiyoshi & Fuchigami, Shigeki & Yokoyama, Shintaro, 2002. "Study on underground thermal characteristics by using digital national land information, and its application for energy utilization," Applied Energy, Elsevier, vol. 72(3-4), pages 659-675, July.
    7. Bloemendal, Martin & Olsthoorn, Theo & Boons, Frank, 2014. "How to achieve optimal and sustainable use of the subsurface for Aquifer Thermal Energy Storage," Energy Policy, Elsevier, vol. 66(C), pages 104-114.
    8. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    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. Hossein Moayedi & Amir Mosavi, 2021. "Electrical Power Prediction through a Combination of Multilayer Perceptron with Water Cycle Ant Lion and Satin Bowerbird Searching Optimizers," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    2. Hossein Moayedi & Amir Mosavi, 2021. "Synthesizing Multi-Layer Perceptron Network with Ant Lion Biogeography-Based Dragonfly Algorithm Evolutionary Strategy Invasive Weed and League Champion Optimization Hybrid Algorithms in Predicting He," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    3. Mahon, Harry & O'Connor, Dominic & Friedrich, Daniel & Hughes, Ben, 2022. "A review of thermal energy storage technologies for seasonal loops," Energy, Elsevier, vol. 239(PC).
    4. Khan, A.M. & Liang, L. & Mia, M. & Gupta, M.K. & Wei, Z. & Jamil, M. & Ning, H., 2021. "Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    5. Ali Aldrees, 2021. "Water management in Saudi Arabia: a case study of Makkah Al Mukarramah region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13650-13666, September.
    6. Chen, Jingping & Feng, Shaohang, 2020. "Evaluating a large geothermal absorber’s energy extraction and storage performance in a common geological condition," Applied Energy, Elsevier, vol. 279(C).
    7. Hossein Moayedi & Amir Mosavi, 2021. "Double-Target Based Neural Networks in Predicting Energy Consumption in Residential Buildings," Energies, MDPI, vol. 14(5), pages 1-25, March.
    8. Chen, Kecheng & Sun, Xiang & Soga, Kenichi & Nico, Peter S. & Dobson, Patrick F., 2024. "Machine-learning-assisted long-term G functions for bidirectional aquifer thermal energy storage system operation," Energy, Elsevier, vol. 301(C).
    9. Hossein Moayedi & Amir Mosavi, 2021. "Suggesting a Stochastic Fractal Search Paradigm in Combination with Artificial Neural Network for Early Prediction of Cooling Load in Residential Buildings," Energies, MDPI, vol. 14(6), pages 1-19, March.
    10. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    11. Zulfiqar Ali Baloch & Qingmei Tan & Hafiz Waqas Kamran & Muhammad Atif Nawaz & Gadah Albashar & Javaria Hameed, 2022. "A multi-perspective assessment approach of renewable energy production: policy perspective analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2164-2192, February.
    12. Ridha, Hussein Mohammed & Hizam, Hashim & Gomes, Chandima & Heidari, Ali Asghar & Chen, Huiling & Ahmadipour, Masoud & Muhsen, Dhiaa Halboot & Alghrairi, Mokhalad, 2021. "Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method," Energy, Elsevier, vol. 224(C).
    13. Brown, C.S. & Kolo, I. & Lyden, A. & Franken, L. & Kerr, N. & Marshall-Cross, D. & Watson, S. & Falcone, G. & Friedrich, D. & Diamond, J., 2024. "Assessing the technical potential for underground thermal energy storage in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    14. Hossein Moayedi & Amir Mosavi, 2021. "An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework," Energies, MDPI, vol. 14(4), pages 1-18, February.

    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. Fleuchaus, Paul & Godschalk, Bas & Stober, Ingrid & Blum, Philipp, 2018. "Worldwide application of aquifer thermal energy storage – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 861-876.
    2. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Manon Bulté & Thierry Duren & Olivier Bouhon & Estelle Petitclerc & Mathieu Agniel & Alain Dassargues, 2021. "Numerical Modeling of the Interference of Thermally Unbalanced Aquifer Thermal Energy Storage Systems in Brussels (Belgium)," Energies, MDPI, vol. 14(19), pages 1-17, September.
    4. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    5. Jewon Oh & Daisuke Sumiyoshi & Masatoshi Nishioka & Hyunbae Kim, 2021. "Efficient Operation Method of Aquifer Thermal Energy Storage System Using Demand Response," Energies, MDPI, vol. 14(11), pages 1-18, May.
    6. Li, Shuang & Wang, Gaosheng & Zhou, Mengmeng & Song, Xianzhi & Shi, Yu & Yi, Junlin & Zhao, Jialin & Zhou, Yifan, 2024. "Thermal performance of an aquifer thermal energy storage system: Insights from novel multilateral wells," Energy, Elsevier, vol. 294(C).
    7. De Schepper, Guillaume & Paulus, Claire & Bolly, Pierre-Yves & Hermans, Thomas & Lesparre, Nolwenn & Robert, Tanguy, 2019. "Assessment of short-term aquifer thermal energy storage for demand-side management perspectives: Experimental and numerical developments," Applied Energy, Elsevier, vol. 242(C), pages 534-546.
    8. Rapantova, Nada & Pospisil, Pavel & Koziorek, Jiri & Vojcinak, Petr & Grycz, David & Rozehnal, Zdenek, 2016. "Optimisation of experimental operation of borehole thermal energy storage," Applied Energy, Elsevier, vol. 181(C), pages 464-476.
    9. Bloemendal, Martin & Jaxa-Rozen, Marc & Olsthoorn, Theo, 2018. "Methods for planning of ATES systems," Applied Energy, Elsevier, vol. 216(C), pages 534-557.
    10. Daniilidis, Alexandros & Mindel, Julian E. & De Oliveira Filho, Fleury & Guglielmetti, Luca, 2022. "Techno-economic assessment and operational CO2 emissions of High-Temperature Aquifer Thermal Energy Storage (HT-ATES) using demand-driven and subsurface-constrained dimensioning," Energy, Elsevier, vol. 249(C).
    11. Chen, Kecheng & Sun, Xiang & Soga, Kenichi & Nico, Peter S. & Dobson, Patrick F., 2024. "Machine-learning-assisted long-term G functions for bidirectional aquifer thermal energy storage system operation," Energy, Elsevier, vol. 301(C).
    12. Beernink, Stijn & Bloemendal, Martin & Kleinlugtenbelt, Rob & Hartog, Niels, 2022. "Maximizing the use of aquifer thermal energy storage systems in urban areas: effects on individual system primary energy use and overall GHG emissions," Applied Energy, Elsevier, vol. 311(C).
    13. Kai Stricker & Jens C. Grimmer & Robert Egert & Judith Bremer & Maziar Gholami Korzani & Eva Schill & Thomas Kohl, 2020. "The Potential of Depleted Oil Reservoirs for High-Temperature Storage Systems," Energies, MDPI, vol. 13(24), pages 1-26, December.
    14. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Ghoreishi-Madiseh, Seyed Ali & Sasmito, Agus P. & Hassani, Ferri P. & Amiri, Leyla, 2017. "Performance evaluation of large scale rock-pit seasonal thermal energy storage for application in underground mine ventilation," Applied Energy, Elsevier, vol. 185(P2), pages 1940-1947.
    16. Fleuchaus, Paul & Schüppler, Simon & Bloemendal, Martin & Guglielmetti, Luca & Opel, Oliver & Blum, Philipp, 2020. "Risk analysis of High-Temperature Aquifer Thermal Energy Storage (HT-ATES)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    17. Fleuchaus, Paul & Schüppler, Simon & Godschalk, Bas & Bakema, Guido & Blum, Philipp, 2020. "Performance analysis of Aquifer Thermal Energy Storage (ATES)," Renewable Energy, Elsevier, vol. 146(C), pages 1536-1548.
    18. Brown, C.S. & Kolo, I. & Lyden, A. & Franken, L. & Kerr, N. & Marshall-Cross, D. & Watson, S. & Falcone, G. & Friedrich, D. & Diamond, J., 2024. "Assessing the technical potential for underground thermal energy storage in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    19. Rostampour, Vahab & Jaxa-Rozen, Marc & Bloemendal, Martin & Kwakkel, Jan & Keviczky, Tamás, 2019. "Aquifer Thermal Energy Storage (ATES) smart grids: Large-scale seasonal energy storage as a distributed energy management solution," Applied Energy, Elsevier, vol. 242(C), pages 624-639.
    20. Nordbeck, Johannes & Bauer, Sebastian & Dahmke, Andreas & Delfs, Jens-Olaf & Gomes, Hugo & Hailemariam, Henok & Kinias, Constantin & Meier zu Beerentrup, Kerstin & Nagel, Thomas & Smirr, Christian & V, 2020. "A modular cement-based subsurface heat storage: Performance test, model development and thermal impacts," Applied Energy, Elsevier, vol. 279(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:rensus:v:112:y:2019:i:c:p:788-796. 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/600126/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.