o-TİPİ ORC-BINARY JEOTERMAL GÜÇ SANTRALI OPTİMİZASYONU: EATWOS ANALİZİ

Yıl 2019, Cilt: 6, 222 - 236, 30.09.2019

Oğuz Arslan , Aslı Ergenekon Arslan , Merve Şentürk Acar

https://doi.org/10.35193/bseufbd.601745

Cited By: 6

Öz

Bu çalışmada, Simav jeotermal
kaynaklarının değerlendirilmesi amacıyla o-Tipi
ORC güç santrali analitik olarak dizayn edilmiştir. Güç santralinin
tasarımlarında enerji kaynağı olarak Simav jeotermal sahasına ait potansiyel
değerlendirilmiştir. Elde edilen tasarımların çalışma koşulları ele alınarak en
efektif tasarımın belirlenmesi amacıyla çok kriterli karar verme tekniklerinden
biri olan EATWOS kullanılmıştır. Sonuç
olarak, o2-tipi santrale ait en uygun modeller sırasıyla enerji verimi, net elektrik enerjisi üretimi ve her ikisini
birlikte analiz eden durum için Model 10 olarak bulunmuştur. Bu durumda,
santral parametreleri T_1b=80 ^oC, T_2c=22 ^oC ve T_2d=137 ^oC
olarak belirlenmiş olup, net elektrik enerjisi üretimi 594.12 MWh ve santral
verimi % 16.36 olarak tespit edilmiştir. o3-tipi
santrale ait en uygun modeller sırasıyla enerji verimi, net elektrik enerjisi
üretimi ve her ikisini birlikte analiz eden durum için Model 31 olarak bulunmuştur.
Bu duruma ait santral parametreleri T_1b=80 ^oC, T_2c=22 ^oC,  T_2d=117 ^oC ve P_2d=2000 kPa olarak
belirlenmiş, net elektrik enerjisi üretimi 559.895 MWh ve santral verimi % 14.75
olarak tespit edilmiştir.

Anahtar Kelimeler

EATWOS, o-Type ORC, Jeotermal Enerji

OPTIMIZATION of o-TYPE ORC-BINARY GEOTHERMAL POWER PLANT: EATWOS ANALYSIS

Öz

In this
study, taking the different parameters into account, different designs of o-Type ORC power plant have analytically
conducted. In the designs, Simav geothermal resources were taken into
consideration as the source of plant. Then, the most efficient design was
evaluated by using Efficiency Analysis Technique with Output Satisficing
(EATWOS) which is one of Multi-Criteria Decision-Making Technique (MCDMT) in
the viewpoint of the working conditions. As a conclusion, the most available
models of o2-tipi ve o3-tipi were determined as Model 10,
Model 31, respectively. For Model 10, the design parameters of T_1b, T_2d, T_2c, net electricity generation and plant energy efficiency
were determined as 80 ^oC, 22 ^oC, 137 ^oC,
594.12 MWh and % 16.36, respectively. For Model 31, the design parameters of T_1b, T_2c, T_2d, P_2d, net
electricity generation and plant energy efficiency were determined  as 80 ^oC, 22 ^oC,  117 ^oC, 2000 kPa,  559.895 MWh and % 14.75, respectively.

Anahtar Kelimeler

EATWOS, Geothermal Energy, o-Type ORC

Kaynakça

• [1] Arslan, O., (2008). Simav-Eynal Jeotermal Kaynaklarının Hassas Değerlendirilmesi: Entegre sistem tasarım ve enerji-ekserji analzileri. Eskisehir Osmangazi Üniversitesi. Doktora Tezi.
• [2] Arslan, O., Yetik, O., (2014). ANN modeling of an ORC-binary geothermal power plant: Simav case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 36 (4), 418-428.
• [3] Arslan, O., Ozgur, M.A., Kose, R., (2012). Electricity generation ability of the Simav geothermal field: A technoeconomic approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 34 (12), 1130-1144.
• [4] Arslan, O., (2011). Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34. Energy 36 (5), 2528-2534.
• [5] Arslan, O., (2010). Exergoeconomic evaluation of electricity generation by the medium temperature geothermal resources, using a Kalina cycle: Simav case study. International journal of Thermal Sciences 49 (9), 1866-1873.
• [6] Arslan, O., Ozgur, M.A., Kose, R., Tugcu, A., (2009). Exergoeconomic evaluation on the optimum heating circuit system of Simav geothermal district heating system, Energy and Buildings 41: 1325-1333.
• [7] Pohekar, S.D. and Ramachandran, M., (2004), Application of Multi-Criteria Decision Making to Sustainable Energy Planning-A Review, Renewable and Sustainable Energy Reviews 8 (4); 365–381.
• [8] Siksnelyte, I., Zavadskas, E.K., Streimikiene, D., Sharma D., (2018). An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues, Energies 11(10); 2754. DOI: https://doi.org/10.3390/en11102754.
• [9] Taha, R.A. and Daim, T., (2013). Multi-Criteria Applications in Renewable Energy Analysis, a Literature Review, Research and Technology Management in the Electricity Industry, Green Energy and Technology, Springer-Verlag, London.
• [10] Mirasgedis S. and Diakoulaki D., (1997). Multicriteria Analysis vs. Externalities Assessment for the Comparative Evaluation of Electricity Generation Systems. European Journal of Operational Research 102; 364-379.
• [11] Cavallaro, F. and Ciraolo, L., (2005). A Multicriteria Approach To Evaluate Wind Energy Plants On An Italian Island, Energy Policy 33, 235–244.
• [12] Goumas M.G., Lygerou V.A., Papayannakis L.E., (1999). Computational methods for Planning and Evaluating Geothermal Energy Projects, Energy Policy 27; 147-154.
• [13] Afgan, N.H. and Carvalho, M.G., (2002). Multi-Criteria Assessment of New And Renewable Energy Power Plants, Energy 27; 739–755.
• [14] Diakoulaki D., Zopounidis C., Mavrotas G., Doumpos M., (1999). The Use Of A Preference Disaggregation Method in Energy Analysis and Policy Making, Energy 24; 157–166.
• [15] Dargam, F.C.C. and Perz, E.W., (1998). A Decision Support System For Power Plant Design, European Journal of Operational Research 109, 310-320.
• [16] Georgopoulou E., Lalas D., Papagiannakis L., (1997). A Multicriteria Decision Aid Approach For Energy Planning Problems: The Case Of Renewable Energy Option, European Journal of Operational Research 103 (9); 38-54.
• [17] Bell, M.L., Hobbs, B.F., Elliott, E.M., Ellis, H. and Robinson, Z., (2001). An Evaluation Of Multi-Criteria Methods İn Integrated Assessment Of Climate Policy, J. Multi-Crit. Decis. Anal. 10: 229–256.
• [18] Arslan, A. E., Güven, Ö.Z., (2018). Veri Zarflama Analizi ile Üniversite Etkinliklerinin Belirlenmesine Yönelik Bir Çalışma: Türkiye Örneği, Uluslararası Afro-Avrasya Araştırmaları Dergisi, 3(6), 86-105.
• [19] Huang, W., Eling, M., (2013). An efficiency comparison of the non-life insurance industry in the BRIC countries, European Journal of Operational Research 226(3), 577-591.
• [20] Kundakcı, N., (2018). Efficiency Evaluation of State Universities in Turkey with EATWOS Method, Proceedings of International Congress on Afro - Eurasian Research IV, pp.:226-238, 27-29 April 2018, Budapest, Hungary.
• [21] Özbek, A., (2015). Efficiency Analysis of Non-Governmental Organizations Based in Turkey, International Business Research, 8(9), 1-11.
• [22] Ergenekon Arslan, A., Senturk Acar, M., Arslan O., (2018). Effectiveness Analysis of ORC-Binary Geothermal Power Plant Using Data Enveloping, Proceedings of International Congress on Afro - Eurasian Research IV, pp.:110-118, 27-29 April 2018, Budapest, Hungary.
• [23] Ergenekon Arslan, A., Senturk Acar, M., Arslan O., (2018). Data Enveloping Based Effectiveness Analysis of Integrated Geothermal System: Simav Case Study, Proceedings of International Congress on Afro - Eurasian Research IV, pp.:119-125, 27-29 April 2018, Budapest, Hungary.
• [24] Senturk Acar, M., Ergenekon Arslan, A., Arslan O., (2018). Determination of the Effective Parameters of Ranque-Hilsch Vortex Tube Integrated Vapour Compression Cooling System Using Data Enveloping Analysis, Proceedings of International Congress on Afro - Eurasian Research IV, pp.:370-377, 27-29 April 2018, Budapest, Hungary.
• [25] Senturk Acar, M. and Arslan O., (2018). Data Enveloping Analysis of Ranque-Hilsch Vortex Tube Aided Drying System, Proceedings of International Congress on Afro - Eurasian Research IV, pp.:410-416, 27-29 April 2018, Budapest, Hungary.
• [26] Arslan, O., Ergenekon Arslan, A., Senturk Acar, M., (2019). Multi-Criteria Making-Decision Modeling of b-type ORC-Binary Geothermal Power Plant: EATWOS Analysis, BSEU Journal of Science 6(1); 29-48. DOI: 10.35193/bseufbd.561668.
• [27] Arslan O., Ergenekon Arslan, A., Yerel Kandemir, S., (2019). EATWOS Analysis of S-Type ORC-Binary Geothermal Power Plant, International Congress on Afro-Eurasian Research V, 19-22 April 2019, Nicosia, Cyprus.
• [28] Senturk Acar, M., Arslan O., (2019). Optimization of Ranque-Hilsch VortexTube Integrated Vapor Compression Cooling Cycle by EATWOS Modeling, International Congress on Afro - Eurasian Research V, 19-22 April 2019, Nicosia, Cyprus.April 2019, Nicosia, Cyprus.
• [29] Senturk Acar, M., Arslan O., (2019). Optimization of Ranque-Hilsch Vortex Tube Integrated Drying System by EATWOS, International Congress on Afro - Eurasian Research V, 19-22 April 2019, Nicosia, Cyprus.
• [30] Peters, M. L., Zelewski. S.,, (2006). Efficiency analysis under consideration of satisficing levels for output quantities. Proceedings of the 17th Annual Conference of the Production and Operations Management Society – Operations Management in the New World Uncertainties, CD-ROM-Proceedings, April 28-May 1, Boston (Mass.), USA.
• [31] Peters, M. L., Zelewski. S., (2016). Benefits and Risks of Satisficing Levels for Input and Output Quantities in Efficiency Analyses from A Corporate Social Responsibility Perspective. International Journal of Management and Sustainability, Vol. 5, No. 12, 94-101.
• [32] Peters, M. L., Zelewski S., (2018). Some Thoughts on Operationalizing The Concept of Sufficiency in Efficiency Analysis. International Journal of Management and Sustainability, Vol. 7, No. 1, 63-71.