Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle

The design of a four-bed three-stage adsorption cycle has been proposed to reduce the volume of the six-bed three-stage adsorption cycle. A simulation model for the proposed innovative cycle was developed to analyse the influence of cycle time on the system performance identifying the specific cooli...

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Main Authors: Bidyut Baran Saha, Takahiko Miyazaki, Atsushi Akisawa, Abul Fazal Mohammad Mizanur Rahman, Yuki Ueda
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/6/3/1365
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author Bidyut Baran Saha
Takahiko Miyazaki
Atsushi Akisawa
Abul Fazal Mohammad Mizanur Rahman
Yuki Ueda
author_facet Bidyut Baran Saha
Takahiko Miyazaki
Atsushi Akisawa
Abul Fazal Mohammad Mizanur Rahman
Yuki Ueda
author_sort Bidyut Baran Saha
collection DOAJ
description The design of a four-bed three-stage adsorption cycle has been proposed to reduce the volume of the six-bed three-stage adsorption cycle. A simulation model for the proposed innovative cycle was developed to analyse the influence of cycle time on the system performance identifying the specific cooling power (SCP) and coefficient of performance (COP). A particle swarm optimization (PSO) technique was used to optimize the cycle time enabling us to maximize the SCP. PSO results showed that the optimal cycle time was decreased with heat source temperature and SCP value was proportional to heat source temperature. It was found that the proposed cycle could be driven by waste heat as low as 40 °C, along with coolant at 30 °C. Comparative study of optimized result indicated that the proposed cycle increased the performance significantly over a whole range of temperatures from 40 to 70 °C and reduced two adsorbent beds, compared to the six-bed three-stage cycle.
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spelling doaj.art-e3bc9ea6a46e46d1822c76fe567eaed72022-12-22T04:23:25ZengMDPI AGEnergies1996-10732013-03-01631365138410.3390/en6031365Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption CycleBidyut Baran SahaTakahiko MiyazakiAtsushi AkisawaAbul Fazal Mohammad Mizanur RahmanYuki UedaThe design of a four-bed three-stage adsorption cycle has been proposed to reduce the volume of the six-bed three-stage adsorption cycle. A simulation model for the proposed innovative cycle was developed to analyse the influence of cycle time on the system performance identifying the specific cooling power (SCP) and coefficient of performance (COP). A particle swarm optimization (PSO) technique was used to optimize the cycle time enabling us to maximize the SCP. PSO results showed that the optimal cycle time was decreased with heat source temperature and SCP value was proportional to heat source temperature. It was found that the proposed cycle could be driven by waste heat as low as 40 °C, along with coolant at 30 °C. Comparative study of optimized result indicated that the proposed cycle increased the performance significantly over a whole range of temperatures from 40 to 70 °C and reduced two adsorbent beds, compared to the six-bed three-stage cycle.http://www.mdpi.com/1996-1073/6/3/1365adsorption cyclecoolingfour-bedthree-stageoptimization
spellingShingle Bidyut Baran Saha
Takahiko Miyazaki
Atsushi Akisawa
Abul Fazal Mohammad Mizanur Rahman
Yuki Ueda
Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
Energies
adsorption cycle
cooling
four-bed
three-stage
optimization
title Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
title_full Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
title_fullStr Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
title_full_unstemmed Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
title_short Design and Performance of an Innovative Four-Bed, Three-Stage Adsorption Cycle
title_sort design and performance of an innovative four bed three stage adsorption cycle
topic adsorption cycle
cooling
four-bed
three-stage
optimization
url http://www.mdpi.com/1996-1073/6/3/1365
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