Reliability Evaluation and Cost Optimization of Solar Air-Conditioner

Ashok Singh Bhandari (), Mangey Ram (), Akshay Kumar () and Sushil Chandra Dimri
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Ashok Singh Bhandari: Graphic Era Hill University
Mangey Ram: Graphic Era Deemed To Be University
Akshay Kumar: Graphic Era Hill University
Sushil Chandra Dimri: Graphic Era Deemed To Be University

A chapter in Reliability and Maintainability Assessment of Industrial Systems, 2022, pp 271-289 from Springer

Abstract: Abstract As we all know synergy files are the channel for aspiring engineers and technologists that are striving for a better and more sustainable world. During summers when the temperature can soar to mid 40 °C in many places around the world, air conditioning becomes more than just a luxury however it is costly to cool spaces particularly in areas with a high level of humidity. One of the advantages of cooling instead of heating is that cooling is required more when there is more heat energy around to tap into or in other words there is more energy available. To be more specific we have more solar energy available to us. Here we are interested in the technology that uses heat from the sun to provide energy directly in the thermodynamic circle of an air-conditioner. This research work is dedicated to evaluate the reliability measures of solar air-conditioners which include availability, mean time to failure (MTTF), and sensitivity analysis with their graphical representation by using the Markov process. Along with reliability assessment, Particle Swarm Optimization (PSO) technique is applied with the objective to find the minimum cost of the system while taking maximum reliability as a constraint.

Keywords: Solar air- conditioners; Solar energy; Markov process; Reliability; Availability; Mean time to failure; Sensitivity analysis; Particle swarm optimization (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-93623-5_12

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DOI: 10.1007/978-3-030-93623-5_12

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