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Large-scale freshwater generation from the humid air using the modified solar chimney

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  • Wu, Yongjia
  • Ming, Tingzhen
  • de Richter, Renaud
  • Höffer, Rüdiger
  • Niemann, Hans-Jürgen

Abstract

Global Warming will probably modify air circulation patterns and increase the severity of droughts, heat waves, heavy precipitation, and floods across the world. A device called ‘aerological accelerator’ (AeAc) is proposed in this paper to harvest water from the air using a very high tower where the warm and humid air enters from the bottom and rises till the top driven by buoyancy force. This AeAc device is similar in operation principle to a solar chimney power plant (SCPP) with additional features. A mathematical model was developed to calculate the potential energy and water that can be generated in various environments. The calculation results show that clouds are generated within and out of the chimney and the latent heat released by the vapor can noticeably increase the power output of the modified SCPP. With a proper water collecting method, the system can supply water and carbon-free renewable energy for residential and agricultural use. The present study opens the perspective that with minor improvements, significant energy and freshwater production might be possible using these tall engineering structures, whose high chimney can be built thanks to fabric balloons filled with gases lighter than air.

Suggested Citation

  • Wu, Yongjia & Ming, Tingzhen & de Richter, Renaud & Höffer, Rüdiger & Niemann, Hans-Jürgen, 2020. "Large-scale freshwater generation from the humid air using the modified solar chimney," Renewable Energy, Elsevier, vol. 146(C), pages 1325-1336.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:1325-1336
    DOI: 10.1016/j.renene.2019.07.061
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    References listed on IDEAS

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    1. Mehdipour, R. & Golzardi, S. & Baniamerian, Z., 2020. "Experimental justification of poor thermal and flow performance of solar chimney by an innovative indoor experimental setup," Renewable Energy, Elsevier, vol. 157(C), pages 1089-1101.
    2. Salari, Ali & Shakibi, Hamid & Alimohammadi, Mahdieh & Naghdbishi, Ali & Goodarzi, Shadi, 2023. "A machine learning approach to optimize the performance of a combined solar chimney-photovoltaic thermal power plant," Renewable Energy, Elsevier, vol. 212(C), pages 717-737.
    3. Uche, J. & Muzás, A. & Acevedo, L.E. & Usón, S. & Martínez, A. & Bayod, A.A., 2020. "Experimental tests to validate the simulation model of a Domestic Trigeneration Scheme with hybrid RESs and Desalting Techniques," Renewable Energy, Elsevier, vol. 155(C), pages 407-419.
    4. Tawalbeh, Muhammad & Mohammed, Shima & Alnaqbi, Aaesha & Alshehhi, Shouq & Al-Othman, Amani, 2023. "Analysis for hybrid photovoltaic/solar chimney seawater desalination plant: A CFD simulation in Sharjah, United Arab Emirates," Renewable Energy, Elsevier, vol. 202(C), pages 667-685.

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