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

Lucia Cattani (), Anna Magrini and Valentina Leoni
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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

Energies, 2022, vol. 15, issue 20, 1-24

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.

Keywords: water harvesting from air; meteorological conditions for water extraction from air; AWG Air to Water Generators; WET Water Energy Transformation; MHI Moisture Harvesting Index (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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