A multi-objective energy resource allocation model for Turkish manufacturing industry using linear physical programming

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 6, 2011, Pages 3147-3169

  Onut, Semih ^a   Tuzkaya, Umut Rifat ^a   Tuzkaya, Gülfem ^a   Gülsün, Bahadir ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Energy resource allocation (ERA); Linear physical programming; Multi objective optimization; Turkish manufacturing industry

Indexed keywords

ALLOCATION PREFERENCES; ENERGY EMISSIONS; ENERGY SHORTAGES; HARD COAL; LINEAR PHYSICAL PROGRAMMING; MAIN COMPONENT; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMIZATION TECHNIQUES; PRICE FLUCTUATION; SUB-GROUPS; TURKISH MANUFACTURING INDUSTRIES;

COAL DEPOSITS; COAL INDUSTRY; DEVELOPING COUNTRIES; ENERGY RESOURCES; INDUSTRY; MANUFACTURE; NATURAL GAS; NATURAL GAS DEPOSITS; RESOURCE ALLOCATION; RISK PERCEPTION;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79956099842     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (47)

1. Ministry of Energy and Natural Resources of Turkey (MENR), http://www.energy.gov.tr, 2009.
2. A. Hepbasli and N. Ozalp, Development of energy efEciency and management implementation in the Turkish Industrial Sector, Energy Conversion & Management, vol.44, pp.231-249, 2003.
3. A. Hepbasli, Development and restructuring of Turkey's electricity sector: A review, Renewable & Sustainable Energy Reviews, vol.9, pp.311-343, 2005.
4. K. Kaygusuz and A. Sari, Renewable energy potential and utilization in Turkey, Energy Conversion k Management, vol.44, pp.459-478, 2003.
5. The scientific and technological research council of Turkey (TUBITAK), Panel on Energy and Natural Sources, Ankara, 2003.
6. O. E. Canyurt, H. K. Ozturk, A. Hepbasli and Z. Utlu, Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches, Energy Policy, vol.33, pp.1011-1019, 2005.
7. The State Statistics Institute of Turkey (SSI), Turkey's Statistical Yearbook, 2004.
8. The State Statistics Institute of Turkey (SSI), Energy Consumption in the Manufacturing Industry, 1999-2001.
9. R. Ramanathan and L. S. Ganesh, A multi-objective analysis of cooking-energy alternatives, Energy, vol.19, no.4, pp.469-478, 1998.
10. R. Ramanathan and L. S. Ganesh, Energy alternatives for lighting in households: An evaluation using an integrated goal programming-AHP model, Energy, vol.20, no.l, pp.63-72, 1995.
11. T. Mezher, R. Chedid and W. Zahabi, Energy resource allocation using multi-objective goal programming: The case of Lebanon, Applied Energy, vol.61, pp.175-192, 1998.
12. R. Chedid, T. Mezher and C. Jarrouche, A fuzzy programming approach to energy resource allocation, International Journal of Energy Research, vol.23, pp.303-317, 1999.
13. R. K. Agrawal and S. P. Singh, Energy allocations for cooking in UP households (India) a fuzzy multi-objective analysis, Energy Conversion and Management, vol.42, pp.2139-2154, 2001.
14. C. Jana and R. N. Chattopadhyay, Block level energy planning for domestic lighting-a multi-objective fuzzy Unear programming approach, Energy, vol.29, pp.1819-1829, 2004.
15. G. J. Y. Hsu, P. S. Leung and C. T. K. Ching, A multiobjective programming and inter-industry model for energy economic planning in Taiwan, Energy Systems Policy, vol.11, pp. 185-204, 1987.
16. R. Calderan, M. Spiga and P. Vestrucci, Energy modelUng of a cogeneration system for a food industry, Energy, vol.17, pp.609-625, 1992.
17. A. Akisawa, Y. T. Kang, Y. Shimazaki and T. Kashiwagi, Environmentally friendly energy system models using material circulation and energy cascade - The optimization work, Energy, vol.24, pp.561-78, 1999.
18. M. A. Badri, Analysis of demand for electricity in the United States, Energy, vol.17, pp.725-758, 1992.
19. A. M. Borges and A. M. Pereira, Energy demand in Portuguese manufacturing: A two-stage model, Energy, vol.17, pp.61-77, 1992.
20. A. Lehtila and P. Pirila, Reducing energy related emissions: Using an energy systems optimization model to support policy planning in Finland, Energy Policy, vol.24, pp.805-824. 1996.
21. A. D. Little, Overview of energy flow for industries in standard industrial classifications 20-39, Final Summary Report to the US Department of Energy, 2000.
22. J. P. Andersen and B. Hyman, Energy and material flow models fort he US steel industry, Energy, vol.26, pp.137-159, 2001.
23. M. Gong, Optimization of industrial energy systems by incorporating feedback loops into the MIND method, Energy, vol.28, pp. 1655-1669, 2003.
24. A. Messac, M. P. Martinez and T. W. Simpson, Effective product family design using physical programming, Engineering Optimization, vol.34, pp.245-261, 2002.
25. S. Z. Zhao and P. N. Suganthan, Multi-objective evolutionary algorithm with ensemble of external archives, International Journal of Innovative Computing, Information and Control, vol.6, no.4, pp.1713-1726, 2010.
26. S. Ono, Y. Hirotani and S. Nakayama, A memetic algorithm for robust optimal solution search-hybridization of multi-objective genetic algoritm and quasi-newton method, International Journal of Innovative Computing, Information and Control, vol.5, no.12(B), pp.5011-5019, 2009.
27. C. Liu and Y. Wang, A new evolutionary algorithm for multi-objective optimization problems, ICIC Express Letters, vol.1, no. l, pp.93-98, 2007.
28. C. Liu, New evolutionary algorithm for multi-objective constrained optimization, ICIC Express Letters, vol.2, no.4, pp.349-344, 2006.
29. C. Liu and Y. Wang, A new dynamic multi-objective optimization evolutionary algorithm, International Journal of Innovative Computing, Information and Control, vol.4, no.8, pp.2087-2096, 2008.
30. B. Gulsun, G. Tuzkaya, U. R. Tuzkaya and S. Onut, An aggregate production planning strategy selection methodology based on linear physical programming, International Journal of Industrial Engineering Theory, Applications and Practice, vol.16, no.2, pp.135-146, 2009.
31. E. Melachrinoudis, A. Messac and H. Min, Consolidating a warehouse network: A physical programming approach, International Journal of Production Economics, vol.97, pp.1-17, 2005.
32. A. Messac, S. M. Gupta and B. Akbulut, Linear physical programming: A new approach to multiple objective optimization, Trans, on Operational Research, vol.8, pp.39-59, 1996.
33. A. Messac, M. P. Martinez and T. W. Simpson, Introduction of a product family penalty function using physical programming, Transactions of the ASME, vol.24, pp. 164-172, 2002.
34. A. Maria, C. A. Matson, A. Ismail-Yahaya and A. Messac, Linear physical programming for production planning optimization, Engineering Optimization, vol.35, no. l, pp. 19-37, 2003.
35. T. L. Saaty, The Analytic Hierarchy Process, RWS Publications, Pittsburgh, PA, 1980.
36. A. Zakarian and A. Kusiak, Forming teams: An analytical approach, HE Transactions, vol.31, no.l, pp.85-97, 1999.
37. Istanbul Gas Distribution Inc. (IGD), http://www2.igdas.com.tr/tarifeler/w_yakit_karsilastirma.htm, 2006.
38. Turkey Cogen Association (TCA), http://kojenerasyon.com/tablo/sanayiyakit.htm, 2006.
39. Turkish Hard Coal Corporation (THCC), http://www.taskomuru.gov.tr/taskfiyat.htm, 2006.
40. R. Ramanathan and L. S. Ganesh, A multi-objective programming approach to energy resource allocation problems, International Journal of Energy Research, vol.17, pp.105-119, 1993.
41. Turkish Petroleum Refineries Corporation (TPRC), http://www.tupras.com.tr/personel.asp, 2006.
42. General Directorate of Turkish Goal (GDTC), http://www.tki.gov.tr/faal_004.pdf, 2004.
43. Turkish Hard Coal Corporation (THCC), http://www.taskomuru.gov.tr/personelyapi.htm, 2006.
44. Turkish State Institute of Statistics (SSI), Electricity, Gas and Water Statistics, 1999.
45. O. Kural, Coal (Kömür), Istanbul, Turkey, 1991.
46. M. Tins, E. Kalafatogu and H. Okutan, Air Pollution Sources and Control (Hava kirliliǧ kaynaklan ve kontrolu), TUBITAK, MAM, Kocaeli, 1993.
47. S. Makridakis, S. C. Wheelwright and R. J. Hyndman, Forecasting Methods and Applications, 3rd Edition, Wiley & Sons Inc., 1998.