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Genetic Optimization of the Performance of the Solar Adsorption Refrigeration System for Iraq Climate

by Nibal Fadel Farman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Number 10
Year of Publication: 2017
Authors: Nibal Fadel Farman
10.5120/ijca2017915452

Nibal Fadel Farman . Genetic Optimization of the Performance of the Solar Adsorption Refrigeration System for Iraq Climate. International Journal of Computer Applications. 173, 10 ( Sep 2017), 18-25. DOI=10.5120/ijca2017915452

@article{ 10.5120/ijca2017915452,
author = { Nibal Fadel Farman },
title = { Genetic Optimization of the Performance of the Solar Adsorption Refrigeration System for Iraq Climate },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 173 },
number = { 10 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 18-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume173/number10/28445-2017915452/ },
doi = { 10.5120/ijca2017915452 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:53.915744+05:30
%A Nibal Fadel Farman
%T Genetic Optimization of the Performance of the Solar Adsorption Refrigeration System for Iraq Climate
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 10
%P 18-25
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An optimization of the performance of the Solar Adsorption Refrigeration System unit with Genetic Algorithms (GA) is performed. A good design of the generator leads to smooth operation and better results, so more attention must be paid towards the design influence on the performance of the system, with respect to many factors that have an effect on the performance of adsorptive solar ice maker unit. These factors contain Geometrical factors, Concentration factor Operating factors and Climatic factors. Which play an essential role on the designed, constructed, tests and optimized the solar adsorption refrigeration system in order to confirm and achieve the possibility of the principles of solar adsorption refrigeration system and assess the amount of methanol percentage to the amount of activated carbon (A.C). This research is a part of PhD thesis. A field solar powered of ice maker unit designed, analyzed, built and tested, this unit was tested during three months from May till August 2012. The maximum (COP) of the solar adsorption system was 0.49 by ordinary calculation and 0.4883 by Genetic Optimization so there is compatible agreement between the classical method and Genetic Optimization. The concentration ratio X0 kg Methanol/kg (A.C) of the present solar adsorption system was 0.29 as a result of the experimental work and 0.286 by genetic optimization. The maximum mass desorbed is approximately 600 g / 3 kg (A.C) which is a good quality for forming 1 kg of ice, when the average solar radiation in Iraq was 900 W/m2.

References
  1. Simon, Louise Jivan Shah, Ulrike, Jordan, (2003)." Solar Energy State of the Art" Internal Report, BYG•DTU SR-03-14. Denmark Tekniske University.
  2. [http://www.redsolar.biz/energy-efficiency.php].
  3. Nibal F.Farman ," Performance of the Solar Adsorption Refrigeration System under Various Conditions and Parameters for Iraq Climate",2013 , A thesis Submitted to the Energy Engineering Department, College of Engineering, University of Baghdad in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy in Energy Engineering.
  4. Kalkan Naci , Young EA , Ahmet Celiktas." Solar Thermal Air Conditioning Technology Reducing The Footprint Of Solar Thermal Air Conditioning", Renewable And Sustainable Energy Reviews 16 (2012) 6352 –6383.
  5. Wimolsiri Pridasawas."Solar Cooling", Royal Institute Of Technology, Stockholm, Sweden June 27, 2003 Assignment for Ph.D. Course: Solar Heating Technical University of Denmark (DTU).
  6. Boubakri A , Arsalane M , Yous B , Ali-Moussa L , Pons M , Meunier F And Guilleminot JJ ,( 1992) ." Experimental Study of Adsorptive Solar Powered Ice Makers in Agadir (Morocco) I Performance in Actual Site. Renewable Energy 2, 7–22.
  7. Boubakri A , Arsalane M , Yous B , Ali-Moussa L , Pons M , Meunier F And Guilleminot JJ, (2000) . "Adsorptive Solar Powered Ice Maker: Experiments And Model (Morocco) II. Solar Energy Vol. 69, No. 3, PP. 249–263.
  8. Boubakri A, (2003)."A New Conception of an Adsorptive Solar-Powered Ice Maker ", Renewable Energy 28, 831–842.
  9. Boubakri A, (2006)."Technical Note. Performance Of An Adsorptive Solar Ice Maker Operating With A Single Double Function Heat Exchanger (Evaporator/Condenser)", Renewable Energy 31, 1799 – 1812.
  10. Wang R Z."Adsorption Refrigeration Research In Shanghai Jiao Tong University", Institute Of Refrigeration And Cryogenics, Shanghai Jiao Tong University, Shanghai 200030, China, Vol 5,P 1–37, 2001.
  11. Anyanwu EE, Ogueke NV, (2009). "The Performance Analysis of a Solid Adsorption Solar Refrigerator during Collector Cool-Down and Refrigerant Evaporation/Re-Adsorption Phases", Vol. 223 Par T E: J. Process Mechanical Engineering.
  12. Allouache N, Bennacer R, Chikh S and Al Mers A."Numerical Analysis of Heat and Mass Transfer in an Annular Porous Adsorber for Solar Cooling System", Defect and Diffusion Forum Vols. 297-301 (2010) Pp 802-807.
  13. Sahmarani K J, Obied F K and El-Samni O A, (2010)." Proposal For An Adsorption Solar-Driven Air-Conditioning Unit For Public Offices", Proceedings Of The Tenth International Conference Enhanced Building Operations, Kuwait, October 26-28.
  14. Abu Hamdeh H. Nidal, Al-Muhtaseb Mutaz A., (2010)."Optimization Of Solar Adsorption Refrigeration System Using Experimental And Statistical Techniques",Energy Conversion And Management.
  15. Tashtoush Ghassan M. & Mohannand Al-Ata &Atif Al-Khazali, (2010)."Solar Adsorption Refrigeration (SAR) System Modeling", Jordan, Energy Efficiency", DOI 10.1007/S12053-010-9091-5.
  16. Tashtoush Ghassan M., Bourhan M, Mustafa M. Jaradat, (2012)." Experimental Study of A Solar Adsorption Refrigeration Unit, Factorial Analysis", Irbid, Jordan Smart Grid and Renewable Energy, 3, 126-132.
  17. Baiju V and Muraleedharan C, (2012)."Performance Prediction of Solar Adsorption Refrigeration System by ANN", International Scholarly Research Network ISRN Thermodynamics, Volume, Article D102376, 8 Pages.
  18. Norhafizah Ahmad Junaidi*, Tohru Suwa , 78: 5–8 (2016) 101–107 | www.jurnalteknologi.utm.my | eISSN 2180–3722 |
  19. 1Umesh Patel; 2Prakash Kumar Sen & 3Ritesh Sharma ,e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 2, Issue 11, November 2015.
  20. Prashant S. Pathak1, Harshal J. Badhe2, Asif S. Shaikh3, Kunal A. Chhattiskar4, Pratik P. Thakur5, Ashwinikumar S. Patil*, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 06, Issue 04, April 2017, ISSN: 2278 -7798.
  21. Prof B. M. Dusane1, Prof. N.C. Ghuge, ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 06, Issue 11 (Nov. 2016), ||V1|| PP 07-13.
  22. Maamar Laidi, Salah Hanini, (2012)."Prediction Of Solar Adsorption Refrigeration System Performance Using Ann Based On Genetic Learning ", International Journal Of Engineering Science And Technology (IJEST) Vol. 4 No.08 August.
  23. [http://en.wikipedia.org/wiki/Genetic_algorithm].
  24. [www.myreaders.info/html/artificial_Intelligence.Html].
Index Terms

Computer Science
Information Sciences

Keywords

Optimization Refrigeration Genetic Solar energy activated carbon

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