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Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium
Symbiosis International (Deemed) University, India.ORCID iD: 0000-0002-6256-7470
Symbiosis International (Deemed) University, India.ORCID iD: 0000-0002-4507-1844
Asansol Engineering College, India.
Symbiosis International (Deemed) University, India.
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2020 (English)In: Particulate Science and Technology, ISSN 0272-6351, E-ISSN 1548-0046, Vol. 39, no 5, p. 624-631Article in journal (Refereed) Published
Sustainable development
SDG 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Abstract [en]

This paper presents a thermodynamic model for predicting the cooling performance of a single-bed single-stage silica gel/methanol adsorption refrigeration system. Solar heat was collected through flat plate collectors and then stored in a hot water tank. Desorber bed was heated by the hot water from the hot water tank. The temperature of the desorber bed was varied from 65 °C to 85 °C, and its effect on system performance was observed. A numerical model was developed on the basis of mass and energy balance equations, adsorption equilibrium, and kinetic equations (Dubinin–Astakhov equation) for predicting the performance of the adsorption refrigeration system under the said conditions for four major parts (adsorber, desorber, condenser, and evaporator). A programing code was written in FORTRAN for solving these equations under pre-defined material properties, and the simulation result was observed. A refrigeration effect of 577 kJ with a coefficient of performance (COP) of 0.38 could be produced for a maximum bed temperature of 90 °C, which was restricted up to 90 °C because after this temperature, the input increases more than the refrigeration effect, and COP values reduce due to a reduction in desorption mass.

Place, publisher, year, edition, pages
Taylor & Francis, 2020. Vol. 39, no 5, p. 624-631
National Category
Energy Engineering
Research subject
Computer and Information Sciences Computer Science, Computer Science; Technology (byts ev till Engineering), Bioenergy Technology
Identifiers
URN: urn:nbn:se:lnu:diva-119195DOI: 10.1080/02726351.2020.1778145ISI: 000544801600001Scopus ID: 2-s2.0-85086934088OAI: oai:DiVA.org:lnu-119195DiVA, id: diva2:1735308
Available from: 2023-02-08 Created: 2023-02-08 Last updated: 2023-02-13Bibliographically approved

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Pandya, Sharnil

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