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Energy Performance of Water Generators from Gaseous Mixtures by Condensation: Climatic Datasets Choice

Author

Listed:
  • Lucia Cattani

    (SEAS SA, Société de l’Eau Aérienne Suisse, Technical Office, Via dell’Industria 13/A, 6826 Riva San Vitale, Switzerland)

  • Anna Magrini

    (Department of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy)

  • Valentina Leoni

    (Department of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy)

Abstract

Due to the growing issues related to water scarcity and pollution, water extraction from gaseous mixtures, such as atmospheric air, or fumes from combustion, is acquiring increasing importance. Nevertheless, one of the main concerns is the energy consumption that affects the use of any kind of Air(/Gas) to Water Generator (AWG). Referring specifically to water extraction from humid environmental air, AWG behaviour depends upon the air thermo-dynamic conditions and thus upon weather data. To evaluate the water extraction energy efficiency, two interesting tools can be applied: the WET (Water Energy Transformation) indicator, concerning the specific AWG machine behaviour, and the MHI (Moisture Harvesting Index), focused on climate suitability evaluation. Those tools require the knowledge of weather data to be applied. When hourly data for the entire year are available, the application of these tools leads to reliable results. However, in many cases, only average climatic data are available. Today, there are no indications about the reliability of results coming from the use of those less accurate data sets: the research aims to provide a preliminary assessment of the conditions under which average climatic data can be employed without losing meaning. This target was pursued by calculating WET and MHI with three different data sets and five meaningful climate examples. By comparing results, it was possible to provide indications about the most suitable use of average data.

Suggested Citation

  • Lucia Cattani & Anna Magrini & Valentina Leoni, 2022. "Energy Performance of Water Generators from Gaseous Mixtures by Condensation: Climatic Datasets Choice," Energies, MDPI, vol. 15(20), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7581-:d:942008
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    References listed on IDEAS

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    1. Jackson Lord & Ashley Thomas & Neil Treat & Matthew Forkin & Robert Bain & Pierre Dulac & Cyrus H. Behroozi & Tilek Mamutov & Jillia Fongheiser & Nicole Kobilansky & Shane Washburn & Claudia Truesdell, 2021. "Global potential for harvesting drinking water from air using solar energy," Nature, Nature, vol. 598(7882), pages 611-617, October.
    2. Lucia Cattani & Paolo Cattani & Anna Magrini, 2021. "Air to Water Generator Integrated Systems: The Proposal of a Global Evaluation Index—GEI Formulation and Application Examples," Energies, MDPI, vol. 14(24), pages 1-21, December.
    3. Lucia Cattani & Paolo Cattani & Anna Magrini, 2021. "Photovoltaic Cleaning Optimization: A Simplified Theoretical Approach for Air to Water Generator (AWG) System Employment," Energies, MDPI, vol. 14(14), pages 1-17, July.
    4. Carstens, Herman & Xia, Xiaohua & Yadavalli, Sarma, 2018. "Measurement uncertainty in energy monitoring: Present state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2791-2805.
    5. Lucia Cattani & Anna Magrini & Paolo Cattani, 2021. "Water Extraction from Air: A Proposal for a New Indicator to Compare Air Water Generators Efficiency," Energies, MDPI, vol. 14(1), pages 1-21, January.
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    Cited by:

    1. Lucia Cattani & Roberto Figoni & Paolo Cattani & Anna Magrini, 2025. "Integrated Atmospheric Water Generators for Building Sustainability: A Simulation-Based Approach," Energies, MDPI, vol. 18(7), pages 1-27, April.
    2. Lucia Cattani & Paolo Cattani & Anna Magrini & Roberto Figoni & Daniele Dondi & Dhanalakshmi Vadivel, 2023. "Suitability and Energy Sustainability of Atmospheric Water Generation Technology for Green Hydrogen Production," Energies, MDPI, vol. 16(18), pages 1-20, September.

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