Modelling, Simulation and Optimization of Solar-Assisted Absorption Cooling Systems

  • Özçelik YavuzEmail author
  • Özçelik Zehra
  • Tunca Nazlı Yaşar
Part of the Green Energy and Technology book series (GREEN)


This study addresses the optimal design of solar-assisted absorption cooling systems and corresponding operating conditions considering total cost and environmental concerns. The basic idea of an absorption cooling system is to replace the electricity consumed by the compressor used in a conventional cooling system by a thermally driven absorption-desorption system that operates with a suitable fluid pair consisting of one refrigerant and one absorbent.

The environmental performance of the solar cooling system was determined using the life cycle assessment (LCA) methodology. The Eco-indicator 99 metric along with its subdamage categories was also used in calculating the environmental impacts. The problem involves two different systems: absorption cycle and solar collector system. The model was written before using the generalized algebraic modelling system (GAMS). The same model was used to integrate a broader environmental analysis. Additionally, in the scope of this thesis, the problem related to the absorption cycle itself was introduced in MATLAB and ASPEN Plus programs, and the optimization was performed. Generalized reduced gradient (GRG) method was selected for the solution in GAMS. In MATLAB, the problem was solved using genetic algorithm.


Absorption cooling Solar-assisted cooling GAMS MATLAB Aspen Plus 


  1. Ardente, F., Beccali, G., Cellura, M., Branco, V.L.: Life cycle assessment of a solar thermal collector. Renew. Energy. 30(7), 1031–1054 (2005)CrossRefGoogle Scholar
  2. Atmaca, İ., Yigit, A.: Simulation of solar-powered absorption cooling system. Renew. Energy. 28, 1277–1293 (2003)CrossRefGoogle Scholar
  3. Bruno, J.C., Miquel, J., Castells, F.: Modeling of ammonia absorption chillers integration in energy systems of process plants. Appl. Therm. Eng. 19, 1297–1328 (1999)CrossRefGoogle Scholar
  4. CEPCI: Chemical engineering plant cost index, Technical report, (2009)Google Scholar
  5. Florides, G.A., Kalogirou, S.A., Tassou, S.A., Wrobel, L.C.: Modeling, simulation and warming impact assessment of a domestic-size absorption solar cooling system. Appl. Therm. Eng. 22, 1313–1325 (2002)CrossRefGoogle Scholar
  6. Gebreslassie, B.H., Gosálbez, G.G., Jiménez, L., Boer, D.: Design of environmentally conscious absorption cooling systems via multi-objective optimization and life cycle assessment. Appl. Energy. 86, 1712–1722 (2009a)CrossRefGoogle Scholar
  7. Gebreslassie, B.H., Gosálbez, G.G., Jiménez, L., Boer, D.: Economic performance optimization of an absorption cooling system under uncertainty. Appl. Therm. Eng. 29, 3491–3500 (2009b)CrossRefGoogle Scholar
  8. Gebreslassie, B.H., Medrano, M., Boer, D.: Exergy analysis of multi-effect water–LiBr absorption systems: from half to triple effect. Renew. Energy. 35, 1773–1782 (2010a)CrossRefGoogle Scholar
  9. Gebreslassie, B.H., Gosálbez, G.G., Jiménez, L., Boer, D.: A systematic tool for the minimization of the life cycle impact of solar assisted absorption cooling systems. Energy. 35, 3849–3862 (2010b)CrossRefGoogle Scholar
  10. Gebreslassie, B.H., Gosálbez, G.G., Jiménez, L., Boer, D.: Solar assisted absorption cooling cycles for reduction of global warming: a multi-objective optimization approach. Renew. Energy. 86, 2083–2094 (2012)Google Scholar
  11. Henning, H.M.: Solar Assisted Air Conditioning in Buildings: A handbook for Planners, vol. 135. Springer, Wien/New York (2004)Google Scholar
  12. Hong, D., Tang, L., He, Y., Chen, G.: A novel absorption refrigeration cycle. Appl. Therm. Eng. 30, 2045–2050 (2010)CrossRefGoogle Scholar
  13. Jimenez, M.: Life cycle assessment of a solar absorption cooling system, Research Report, Universitat Rovira I Virgili – SUSCAPE Research Group, 12 (2009)Google Scholar
  14. Mateus, T., Oliveira, A.C.: Energy and economic analysis of an integrated solar absorption cooling and heating system in different building types and climates. Appl. Energy. 86, 949–957 (2009)CrossRefGoogle Scholar
  15. MATLAB.: Product overview. MATLAB (2013)Google Scholar
  16. Mavrotas, G., Diakoulaki, D., Florios, K., Georgiou, P.: A mathematical programming framework for energy planning in services’ sector buildings under uncertainty in load demand: the case of a hospital in Athens. Energy Policy. 36, 2415–2429 (2008)CrossRefGoogle Scholar
  17. Mavrotas, G.: Effective implementation of the e-constraint method in multi-objective mathematical programming problems. Appl. Math. Comput. 213, 455–465 (2009)MathSciNetzbMATHGoogle Scholar
  18. Pátek, J., Klomfar, J.: Simple functions for fast calculations of selected thermodynamic properties of the ammonia-water system. Int. J. Refrig. 18, 228–234 (1995)CrossRefGoogle Scholar
  19. Rosenthal, R.E.: Gams: A user’s guide, Washington, Gams Development Corporation, 261p, (2010)Google Scholar
  20. Tunca, N.Y.: Modeling, simulation and optimization of solar assisted absorption cooling systems, MSc Thesis, Ege University, Chemical Engineering Department (2014)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Özçelik Yavuz
    • 1
    Email author
  • Özçelik Zehra
    • 1
  • Tunca Nazlı Yaşar
    • 2
  1. 1.Engineering-Architecture Faculty, Chemical Engineering DepartmentYüzüncü Yıl UniversityVanTurkey
  2. 2.Standard Profil, MOSBManisaTurkey

Personalised recommendations