Comparative Experimental FWA & FOWA Aggregated VLCSPPs' LUR Estimation for GIS Based VEED

Öz

Today, the solar power conversion technologies are the photovoltaics (PV), the concentrated solar power (CSP), and the concentrated photovoltaics (CPV). All of these technologies need sufficient amount of appropriate land. In the Supergrids and the Global Grid, the large sized power plants play the key role, so that this study only focuses on the very large solar power plants (VLSPP). The VLSPPs are defined as the power plants that have the installed power of 1.000 MW (peak in PV) or more in this study. There isn't any solar power plant in this size on the world by 2015. Hence, the solar land use requirements should be studied, analyzed and estimated for each solar power technology. This study investigates only the very large concentrated solar power plants (VLCSPPs). Under the unsharp conditions, a fuzzy weighted average/weight averaging (fuzzy WA) aggregated and an ordered fuzzy weighted average/weight averaging (fuzzy OWA) aggregated solar land use requirement models on worldwide basis are built for the land use requirement (LUR) prediction in the geospatial information system investigation studies (GIS) at the very early engineering design (VEED) phase. These two models are presented in a comparative way. Five experimental criteria (direct normal irradiance: DNI, engineering design year, net installed power, cooling method, storage capacity) are only included in these models. This study and its findings will be a good start to design a VLCSPP in the Supergrids and the Global Grid in the following few years.

Anahtar Kelimeler

• FuzzME,Fuzzy Weighted Average,Fuzzy Ordered Weighted Average,Concentrated solar power,land use requirement

Kaynakça

1. Tsao, J., Lewis, N., Crabtree, G.: Solar FAQs Working Draft Version 2006 Apr 20, www.sandia.gov/~jytsao/Solar%20FAQs.pdf accessed on 14/10/2015
2. Wikipedia, Wikimedia Foundation Inc., Photovoltaics, http://en.wikipedia.org/wiki/Photovoltaics
3. Wikipedia, Wikimedia Foundation Inc., Concentrated solar power, http://en.wikipedia.org/wiki/Concentrated_solar_power
4. Wikipedia, Wikimedia Foundation Inc., Concentrated photovoltaics, http://en.wikipedia.org/wiki/Concentrated_photovoltaics
5. The International Energy Agency (IEA), Technology Roadmap Solar Thermal Elec-tricity, (2014).
6. Clifton, J., Boruff, B.J.: Assessing the potential for concentrated solar power devel-opment in rural Australia, Energy Policy, Vol.: 38, pp.5272–5280. (2010)
7. Investopedia: Economies of scale, http://www.investopedia.com/terms/e/economiesofscale.asp accessed on 17/10/2015.
8. Saracoglu, B.O. (2005). An Experimental Fuzzy Expert System Based Application For The Go/No-Go Decisions To The Geospatial Investigation Studies Of The Re-gions Of The Very Large Concentrated Solar Power Plants In The European Supergrid Concept. In Advances In Intelligent and Soft Computing, The 18th Online World Conference on Soft-Computing in Industrial Applications (WSC18). (in print)

9. Friends of the Supergrid: Roadmap to the Supergrid Technologies Final Report. http://www.cesi.it/news_ideas/ideas/Documents/FOSG%20%20WG2%20Final-report.pdf (2012)
10. Overbye, T.J., Starr, C., Grant, P.M., Schneider, T.R.: National Energy Supergrid Workshop Report. Crowne Plaza Cabana Palo Alto Hotel, Palo Alto, California. www.supergrid.illinois.edu/sg1/SuperGridReportFinal.pdf. (2002)
11. DESERTEC Foundation: http://www.desertec.org/ accessed by 11/06/2015. (2015)
12. Mano, S., Ovgor, B., Samadov, Z., Pudlik, M., Jülch, V., Sokolov, D., Yoon, J.Y.: Gobitec and Asian Super Grid for renewable energies in Northeast Asia. Spotinov print Ltd. (2014)
13. Seliger, B., Kim, G.E.: Tackling climate change, increasing energy security, engag-ing North Korea and moving forward Northeast Asian integration – “Green Growth” in Korea and the Gobitec project. Gobitec Outline Paper 1-03 10112009. (2009)
14. Chatzivasileiadis, S., Ernst, D., Andersson, G.: The Global Grid, Renewable Energy, Vol:57, pp.372–383. doi:10.1016/j.renene.2013.01.032. (2013)
15. Directory of Open Access Journals, http://doaj.org
16. Google Scholar, http://scholar.google.com.tr/
17. Global Energy Network Institute (GENI), http://www.geni.org/
18. Defense Technical Information Center, http://www.dtic.mil/dtic/
19. California Energy Commission, http://www.energy.ca.gov/
20. International Finance Corporation (IFC), http://www.ifc.org/
21. National Renewable Energy Laboratory (NREL), www.nrel.gov
22. Ong, S., Campbell, C., Denholm, P., Margolis, R., Heath, G.: Land-use requirements for solar power plants in the United States. Technical Report NREL/TP-6A20-56290 June 2013, Contract No. DE-AC36-08GO28308, Golden, CO: National Renewable Energy Laboratory. (2013). http://www.nrel.gov/docs/fy13osti/56290.pdf
23. Purohit, I., Purohit, P., Shekhar, S.: Evaluating the potential of concentrating solar power generation in Northwestern India. Energy Policy, Vol.: 62, pp.157-175. (2013)
24. Hernandez, R.R., Easter, S.B., Murphy-Mariscal, M.L., Maestre, F.T., Tavassoli, M., Allen, E.B., Barrows, C.W., Belnap, J., Ochoa-Hueso, R., Ravi, S., Allen, M.F.: Environmental impacts of utility-scale solar energy. Renewable and Sustainable Energy Reviews, Vol.: 29, pp.766-779. (2014)
25. Wanderer, T., Herle, S.: Using a web-based SDSS for siting solar power plants. En-vironmental Informatics and Renewable Energies. pp.100-108. (2013) http://enviroinfo.eu/sites/default/files/pdfs/vol7995/0100.pdf
26. Behar, O., Khellaf, A., Mohammedi, K.: A review of studies on central receiver so-lar thermal power plants. Renewable and Sustainable Energy Reviews, Vol.: 23, pp.12-39. (2013)
27. Horner, R. M., Clark, C. E.: Characterizing variability and reducing uncertainty in estimates of solar land use energy intensity. Renewable and Sustainable Energy Re-views, Vol.23, pp.129-137. (2013)
28. Ummadisingu, A., Soni, M.S.: Concentrating solar power–technology, potential and policy in India. Renewable and Sustainable Energy Reviews, Vol.:15, No:9, pp.5169-5175. (2011)
29. Kaygusuz, K.: Prospect of concentrating solar power in Turkey: the sustainable fu-ture. Renewable and Sustainable Energy Reviews, Vol.:15, No:1, pp.808-814. (2011)
30. The World Bank Group, Morocco’s Noor-Ouarzazate Solar Complex: A Global Public Good (video file), http://www.worldbank.org/en/news/video/2014/10/01/morocco-noor-ouarzazate-solar-complex, https://youtu.be/pitmsgaAlJM
31. Sameh I. Mobarek (The World Bank Group Noor Ouarzazate Concentrated Solar Power Project Team Leader) e-mail correspondence on 21/12/2015.
32. The World Bank Group, MA- Noor Ouarzazate Concentrated Solar Power Project, http://www.worldbank.org/projects/P131256?lang=en
33. GlassPoint Solar, Petroleum Development Oman Miraah http://www.glasspoint.com/miraah/
34. Helman, C.: Ironic Or Economic? Oil Giant To Build World's Largest Solar Project, Forbes/Energy. (2015) http://www.forbes.com/sites/christopherhelman/2015/07/08/oil-giant-to-build-worlds-largest-solar-project/
35. Wikipedia®: List of solar thermal power stations https://en.wikipedia.org/wiki/List_of_solar_thermal_power_stations accessed on 22/12/2015
36. Woody, T.: Solar and Biomass Plants to Work in Tandem in China. The New York Times Company. (2010) http://green.blogs.nytimes.com//2010/01/11/solar-and-biomass-plants-to-work-in-tandem-in-china/
37. Nur Energie: Tunisia, TuNur. http://www.nurenergie.com/index.php/english/projects/tunisia accessed on 22/12/2015
38. Ebbage, A.: Low Carbon brings Nur Energie closer to CSP export. CSP Today. http://social.csptoday.com/markets/low-carbon-brings-nur-energie-closer-csp-export on 22/12/2015
39. Edouard Stenger: Desertec abandons Sahara solar energy export dream. http://www.edouardstenger.com/2013/07/24/desertec-abandons-sahara-solar-energy-export-dream/ on 22/12/2015
40. Deign, J.: Desertec and Dii: the end of the affair. CSP Today. http://social.csptoday.com/markets/desertec-and-dii-end-affair on 22/12/2015
41. Miller, G.A.: The magical number seven, plus or minus two: some limits on our ca-pacity for processing information. The Psychological Review, 63, pp.81–97. (1956)
42. Shiffrin, R.M., Nosofsky, R.M. Seven plus or minus two: a commentary on capacity limitations. Psychological Review, Vol:101, Issue:2, pp.357–361. (1994)
43. Blanc, P., Espinar, B., Geuder, N., Gueymard, C., Meyer, R., Pitz-Paal, R., Rein-hardt, B., Renne, D., Sengupta, M., Wald, L., Wilbert, S.: Direct normal irradiance related definitions and applications: The circumsolar issue. Solar Energy, Vol.: 110, pp.561-577. (2014)
44. Saracoglu, B.O. (2005). An Experimental FOWA Aggregated Location Selection Model For The VLCPVPPs In The MENA Region In The Very Early Engineering Design. In Advances In Intelligent and Soft Computing, The 18th Online World Conference on Soft-Computing in Industrial Applications (WSC18). (in print)
45. Romero-Alvarez, M., Zarza, E.: Concentrating Solar Thermal Power. Goswami, D.Y., Kreith, F. (Eds.). Handbook Of Energy Efficiency And Renewable Energy. CRC Press. (2007)
46. Miller, A., Lumby, B.: Utility Scale Solar Power Plants, A Guide For Developers and Investors. The International Finance Corporation (IFC). (2012)
47. Hermann, S., Miketa, A., Fichaux, N.: Estimating the Renewable Energy Potential in Africa A GIS-based approach. The International Finance Corporation (IFC). (2014)
48. Romero, M., Steinfeld, A.: Concentrating solar thermal power and thermochemical fuels. Energy & Environmental Science, Vol:5, Issue:11, pp.9234-9245. (2012).
49. GeoModel Solar: http://solargis.info/doc/free-solar-radiation-maps-DNI. on 22/12/2015
50. U.S. Department of Energy (DOE U.S.): Concentrating solar power commercial ap-plication study: reducing water consumption of concentrating solar power electricity generation. In Report to Congress. Washington, DC: USDOE. (2009).
51. Electric Power Research Institute (EPRI): Comparison of Alternate Cooling Tech-nologies for U. S. Power Plants: Economic, Environmental, and Other Tradeoffs, Palo Alto, CA. (2004).
52. Kuravi, S., Trahan, J., Goswami, D.Y., Rahman, M.M., Stefanakos, E.K.: Thermal energy storage technologies and systems for concentrating solar power plants. Pro-gress in Energy and Combustion Science, Vol.39, Issue:4, pp.285-319. (2013)
53. Energy Initiative Massachusetts Institute of Technology: The Future of Solar Energy An Interdisciplinary MIT Study https://mitei.mit.edu/futureofsolar (2015)
54. European Solar Thermal Industry Federation (ESTIF): Recommendation : Convert-ing solar thermal collector area into installed capacity (m2 to kWth), http://www.estif.org/fileadmin/estif/content/press/downloads/Technical_note_solar_thermal_capacity-4.doc on 28/12/2015
55. Kreith, F., Krumdieck, S.: Principles of sustainable energy systems. CRC Press. (2013)
56. The National Renewable Energy Laboratory (NREL), Office of Energy Efficiency and Renewable Energy, the U.S. Department of Energy, http://www.nrel.gov/csp/solarpaces/by_project.cfm accessed latest on 25/12/2015
57. Talasova, J., Holecek, P.: Multiple-Criteria Fuzzy Evaluation: The FuzzME Soft-ware Package. In: IFSA/EUSFLAT Conference 2009, pp. 681–686. (2009)
58. The website of FuzzME, http://www.fuzzme.net, http://fuzzme.wz.cz/
59. Linares-Mustarós, S., Merigó, J.M., Ferrer-Comalat, J.C.: Processing Extreme Val-ues in Sales Forecasting. Cybernetics and Systems, Vol.:46, Issue:3-4, pp.207-229. (2015).
60. Song, H., Zhang, R., Zhang, Y., Xia, F., Miao, Q.: Energy consumption combination forecast of Hebei province based on the IOWA operator. Energy Procedia, Vol.:5, pp.2224-2229. (2011).
61. Pavlacka, O. Talasova, J.: The fuzzy weighted average operation in decision making models. Proceedings of the 24th International Conference Mathematical Methods in Economics,13th - 15th September 2006, Plzeň (Ed. L. Lukáš), pp.419–426, (2006).
62. Talasova, J., Pavlacka, O., Bebcakova, I., Holecek, P.: A framework for fuzzy mod-els of multiple-criteria evaluation. presentation in: International Conference On Fuzzy Set Theory And Applications Conference (FSTA). (2012)
63. Holecek, P., Talasova, J., Talasek, T.: Fuzzified weighted OWA (FWOWA) opera-tor. International Journal Of Mathematics And Computers In Simulation, Vol.:9, pp.:213–221. (2015)
64. Yager, R. R.: On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision Making. IEEE Trans. On Systems, Man and Cyberneics Vol:3, No:1, pp.183–190 (1988)
65. Zadeh, L.A.: A Fuzzy-Set-Theoretic Interpretation of Linguistic Hedges. Journal of Cy-bernetics, Vol: 2, Issue: 3, pp.4–34. (1972)
66. Larsen, H.L.: FL-04 Fuzzy knowledge operators aggregation operators (AAUE Course in Fuzzy Logic lecture note). received via e-mail on 01/01/2016.
67. Google Earth Blog: http://www.gearthblog.com/wp-content/uploads/2015/06/Imagery-Updates-Large-May-27th-2015.jpg
68. Google Earth: https://www.google.com/earth/
69. Hansen, G., Stone, D.: Assessing the observed impact of anthropogenic climate change. Nature Climate Change. 2015
70. van Vliet, M. T., Wiberg, D., Leduc, S., Riahi, K.: Power-generation system vulner-ability and adaptation to changes in climate and water resources. Nature Climate Change. 2016