An application of genetic algorithm search techniques to the future total exergy input/output estimation

Energy Sources, Part A: Recovery, Utilization and Environmental Effects

Volumn 28, Issue 8, 2006, Pages 715-725

  Ozturk, Harun Kemal ^a   Canyurt, Olcay Ersel ^a   Hepbasli, Arif ^b   Utlu, Zafer ^c  

^a PAMUKKALE UNIVERSITY   (Turkey)

^b EGE UNIVERSITY   (Turkey)

^c Turkish Land Forces NCO Vocational College   (Turkey)

Author keywords

Energy modeling; Energy planning; Energy use; Exergy; Future projections; Genetic algorithm

Indexed keywords

COGENERATION PLANTS; ECONOMIC AND SOCIAL EFFECTS; ENERGY MANAGEMENT; ENERGY POLICY; ESTIMATION; MATHEMATICAL MODELS; MEDICINE;

ENERGY; ENERGY MODELING; ENERGY PLANNING; FUTURE PROJECTIONS;

GENETIC ALGORITHMS;

EID: 33646776446     PISSN: 15567036     EISSN: 15567230     Source Type: Journal    
DOI: 10.1080/009083190881490     Document Type: Review

References (24)

1. Caldas, L. G., and L. K. Norford. 2003. Genetic algorithms for optimization of building envelopes and the design and control of HVAC systems. Journal of Solar Energy Engineering 125(3): 343-351.
2. Canyurt, O. E. 2002. Cellular models of computation in structural analysis and design. PhD Thesis, USA: Rensselaer Polytechnic Institute.
3. Ceylan, H., H. K. Ozturk, A. Hepbasli, and Z. Utlu. 2005. Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios. Energy Sources 27(7):629-639.
4. Chow, T. T., A. L. S. Chan, and C. L. Song. 2004. Building-mix optimization in district cooling system implementation. Applied Energy 77(1):1-13.
5. Coley, D. A., and S. Schukat. 2002. Low-energy design: Combining computer-based optimization and human judgement. Building and Environment 37(12): 1241-1247.
6. Dincer, I. 2002. The role of exergy in energy policy making. Energy Policy 30(2): 137-149.
7. Dincer, I., and S. Dost. 1996. Energy intensities for Canada. Applied Energy 53(3):283-298.
8. Dincer, I., M. M. Hussain, and I. Al-Zaharnah. 2004. Energy and exergy use in public and private sector of Saudi Arabia. Energy Policy 32(14): 1615-1624.
9. Dunn, L. C., and T. Dobhansky. 1950. Principles of Genetics. New York: McGraw Hill.
10. Goel, S. 1998. Machine learning paradigm in design optimization. PhD Thesis, USA: Rensselaer Polytechnic Institute.
11. Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Harlow, England: Addison Wesley.
12. Handebilen, S., and H. Ceylan. 2005. Genetic algorithm approach to estimate transport energy demand in Turkey. Energy Policy 33(1):89-98.
13. Hepbasli, A., G. Oturanc, A. Kurnaz, E. Ergin, A. Genc, and N. Iyit. 2002. Simple correlations for estimating the energy production of Turkey. Energy Sources 24(9):855-867.
14. Holland, J. H. 1975. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Ann Arbor, MI: University of Michigan Press.
15. Kalogirou, S. A. 2004. Optimization of solar systems using artificial neural-networks and genetic algorithms. Applied Energy 77(4):383-405.
16. Manolas, D. A., C. A. Frangopoulos, T. P. Gialamas, and D. T. Tsahalis. 1997. Operation optimization of an industrial generation system by a genetic algorithm. Energy Convers. Mgmt. 38(15-17):1625-1636.
17. The Ministry of Energy and Natural Resources (MENR). 2003. http://www.enerji.gov.tr (in Turkish).
18. Pereira, C. M. N. A., and C. M. F. Lapa. 2003. Parallel island genetic algorithm applied to a nuclear power plant auxiliary feedwater system surveillance tests policy optimization. Annals of Nuclear Energy 30(16): 1665-1675.
19. Sacco, W. F., C. M. N. A. Pereira, P. P. M. Soares, and R. Schirru. 2002. Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor. Applied Energy 73(3-4):217-222.
20. State Statistics Institute (SIS). 2003. http://www.die.gov.tr (in Turkish).
21. Utlu, Z. 2003. Analysis of Turkey's sectoral energy and exergy utilization efficiency by 2023. PhD Thesis, Solar Energy Institute, Ege University, Izmir, Turkey (in Turkish).
22. World Energy Council-Turkish National Committee (WEC-TNC). 1999. 1998 Energy Report. Ankara, Turkey: Poyraz Ofset (in Turkish).
23. Wright, J. A., H. A. Loosemore, and R. Farmani. 2002. Optimization of building thermal design and control by multi-criterion genetic algorithm. Energy and Buildings 34(9):959-972.
24. Zhang, L., N. Zhang, F. Zhao, and Y. A. Chen. 2004. A genetic-algorithm-based experimental technique for determining heat transfer coefficient of exterior wall surface. Applied Thermal Engineering 24(2-3):339-349.