1. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Schematic of a solar assisted combine cooling, heating, and power generation system Figure Legend:

2. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Hourly variation of ambient temperature during a year for studied case Figure Legend:

3. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Hourly demand of electricity, cooling and heating loads during a year for studied case Figure Legend:

4. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 The cost of buying electricity and buying natural gas as a function of electricity and gas consumption Figure Legend:

5. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Orientation of panel optimum angle and monthly average of received radiation during a year Figure Legend:

6. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Hourly received radiation in the optimum angle during a year for studied case Figure Legend:

7. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Power and heat produced by diesel engine versus PL (points indicate the actual data and lines indicate the curve fitting) Figure Legend:

8. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 The sum of energy in Fig. 7 Figure Legend:

9. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Total demand electricity (electricity demand plus electrical chiller), buying electricity, electricity demand load and cogeneration generated electricity during a year in optimum case-for more clarity, the hourly results are replaced by average of results in each 15 days Figure Legend:

10. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Heating load demand, heat generated by diesel engine, stored heat, heat generated by solar panels and boiler in optimum case; for more clarity, the hourly results are replaced by average of results in each 15 days Figure Legend:

11. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Variation of AAB versus electric cooling ratio for optimum point Figure Legend:

12. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Variation of AAB versus the number of solar panels for optimum point Figure Legend:

13. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Percent of variation in optimum AAB in terms of percent of variation in solar panels investment cost for optimum point Figure Legend:

14. Date of download: 5/29/2016 Copyright © ASME. All rights reserved. From: Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms J. Sol. Energy Eng. 2014;137(1):011001-011001-11. doi:10.1115/1.4027932 Convergence of the objective function versus iterations using GA and PSO for six random runs Figure Legend: