Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis

Renewable and Sustainable Energy Reviews

Volumn 71, Issue , 2017, Pages 150-160

  Anwarzai, Mohammad Abed ^a   Nagasaka, Ken ^a  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

Afghanistan Power System; Electrical Power Potential; GIS; MCDA; Wind and Solar Energies

Indexed keywords

CONCENTRATED SOLAR POWER; DECISION MAKING; ELECTRIC POWER SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; WIND POWER;

AFGHANISTAN; AFGHANISTAN POWER SYSTEM; ANALYSIS SYSTEM; ELECTRICAL POWER POTENTIAL; ENERGY DEVELOPMENT; GEOGRAPHICAL INFORMATION; GEOGRAPHICAL INFORMATION SYSTEM; MULTI-CRITERIA DECISION ANALYSIS; POWER; SELECTION CRITERIA;

SOLAR ENERGY;

EID: 85008200145     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2016.12.048     Document Type: Review

References (43)

1. [1] USEIA: United State energy information administration, overview data for Afghanistan.
2. [2] AEIC: Afghanistan energy information center, power production and supply statistics.
3. [3] Oskarsson, Katerina, Energy development security nexus in Afghanistan. J Energy Seur, 2012.
4. [4] FICHTNER, Islamic Republic of Afghanistan: Power sector master plan, ADB, Project Number: 43497, May 2013.
5. [5] Robert E. Foster, Alma D. Cota, Afghanistan photovoltaic power applications for rural development, IEEE PVSC 38, TA 9.5, and Paper 618 Austin, Texas: June 8, 2012.
6. [6] Hallett, Michael, Distributed power in Afghanistan: the Padisaw micro-hydro project. Renew Energy 34 (2009), 2847–2851.
7. [7] Burns, Richard K., Afghanistan: solar assets, electricity production, and rural energy factors. Renew Sustain Energy Rev 15 (2011), 2144–2148.
8. [8] Afghanistan National Development Strategy, Energy sector strategy: pillar III, infrastructure, Islamic Republic of Afghanistan; February 2008.
9. [9] ANREP: Afghanistan national renewable energy policy, Ministry of Energy and Water, Islamic Republic of Afghanistan, Final Draft; November 2014.
10. [10] NREL, 〈http://www.nrel.gov/international/ra_afghanistan.html〉.
11. [11] David S. Renne, Richard Perez, Solar and wind resource assessment for Afghanistan and Pakistan. In: Proceedings of the ISES Solar World Congress, Solar Energy and Human Settlement. pp. 134–140; 2007.
12. [12] Dennis Elliott, Wind resources assessment and mapping for Afghanistan and Pakistan, National Renewable Energy Laboratory, Golden, Colorado USA; May 2007.
13. [13] NREL: Satellite-Derived Resource Assessment in Afghanistan & Pakistan in support of the USAID South Asia Regional Initiative.
14. [14] Tetra Tech EC INC, Development of wind energy meteorology and engineering for siting and design of wind energy projects in Afghanistan, Asian Development Bank, Manila, Philippines, September 2008.
15. [15] Afghan Clean Energy Program, Wind resource assessment summary, USAID, April 2012.
16. [16] RED: Renewable Energy Department, Ministry of Water and Energy of Afghanistan, 〈http://www.red-mew.gov.af/〉.
17. [17] Al-Yahyai, Sultan, Charabi, Yassine, Assessment of large-scale wind energy potential in the emerging city of Duqm (Oman). Renew Sustain Energy Rev 47 (2015), 438–447.
18. [18] Malczewski, Jacek, GIS-based land-use suitability analysis: a critical overview. Prog Plan 62 (2004), 3–65.
19. [19] Haaren, Rob van, Fthenakis, Vasilis, GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): evaluating the case for New York State. Renew Sustain Energy Rev 15 (2011), 3332–3340.
20. [20] Sánchez-Lozano, Juan M., Teruel-Solano, Jerónimo, Soto-Elvira, Pedro L., García-Cascales, M. Socorro, Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: case study in south-eastern Spain. Renew Sustain Energy Rev 24 (2013), 544–556.
21. [21] Omitaomu, Olufemi A., Blevins, Brandon R., Jochem, Warren C., Mays, Gary T., Belles, Randy, Hadley, Stanton W., Harrison, Thomas J., Bhaduri, Budhendra L., Neish, Bradley S., Rose, Amy N., Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites. Appl Energy 96 (2012), 292–301.
22. [22] Wang, Jiang-Jiang, Jing, You-Yin, Zhang, Chun-Fa, Zhao, Jun-Hong, Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites. Renew Sustain Energy Rev 13 (2009), 2263–2278.
23. [23] Baban, Serwan M.J., Parry, Tim, Developing and applying a GIS-assisted approach to locating wind farms in the UK. Renew Energy 24 (2001), 59–71.
24. [24] Carrion, J. Aran, Estrella, A. Espin, Dolas, F. Aznar, Toro, M. Zamorano, Rodriguez, M., Ridao, A. Ramos, Environmental decision–support system for evaluating the carrying capacity of land areas: optimal site selection for grid connected photovoltaic power plants. Renew Sustain Energy Rev 12 (2008), 2358–2380.
25. [25] Janke, Jason R., Multicriteria GIS modeling of wind and solar farms in Colorado. Renew Energy 35 (2010), 2228–2234.
26. [26] Sliz-Szkliniarz, Beata, Vogt, Joachim, GIS-based approach for the evaluation of wind energy potential: a case study for the Kujawsko–Pomorskie Voivodeship. Renew Sustain Energy Rev 15 (2011), 1696–1707.
27. [27] SAM: 〈https://sam.nrel.gov/〉.
28. [28] Manwell, J.F., Mcgowan, J.G., Rogers, A.L., Wind energy explained theory, design and application, Second edition, 2009, WILEY.
29. [29] USEPA (United State Environmental Protection Agency), Screening Sites for Wind Energy Potential.
30. [30] James Perry and Andrew Biss, Wind Farm Clutter Mitigation in Air Surveillance Radar, IEEE A&E SYSTEM MAGAZINE, JUNE 2007.
31. [31] USEPA (United State Environmental Protection Agency), Screening Sites for Solar PV Potential.
32. [32] NREL, U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis; July 2012.
33. [33] Doug Dahle, Dennis Elliott, Donna Heimiller, Mark Mehos, Robi Robichaud, Marc Schwartz, Byron Stafford, and Andy Walker, Assessing the Potential for Renewable Energy Development on DOE Legacy Management Lands, DOE/GO-102008-102435; February 2008.
34. [34] Koppelberg, Hand-book of Boolean Algebras, vol. 1. North-Holland Publishing Co., Amsterdam, The Netherlands.
35. [35] Bansal, R.C., Bhatti, T.S., Kothari, D.P., On some of the design aspects of wind energy conversion systems. Energy Convers Manag 43 (2002), 2175–2187.
36. [36] Peterson, Ernest W., Hennessey, Joseph P. Jr, On the use of power laws for estimates of wind power potential. J Appl Meteorol 17 (1978), 390–394.
37. [37] Yiannis A. Katsigiannis, George S. Stavrakakis, Christodoulos Pharconides, Effect of wind turbine classes on the electricity production of wind farms in Cyprus Island Hindawi Publishing Corporation. Conference Papers in Energy, Vol 2013, Article ID 750958.
38. [38] Ahmad Murtaza Ershad, Robert J., Brecha, Kevin Hallinan, Analysis of solar photovoltaic and wind power potential in Afghanistan. Renew Energy 85 (2016), 445–453.
39. [39] Wan, Chunqui, Wang, Jun, Yang, Geng, Zhang, Xing, Optimal mirco-siting of wind farms by particle swarm optimization. 2010, Springer-Vcrlag Bcrlin Hcidclberg.
40. [40] Marmidis, Grigorios, Lazarou, Stavros, Pyrgioti, Eleftheria, Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renew Energy 33 (2008), 1455–1460.
41. [41] Asakereh, M., Omid, R., Alimardani, Sarmadian, F., Developing a GIS-based fuzzy AHP model for selecting solar energy sites in Shodirwan Region in Iran. Int J Adv Sci Technol 68 (2014), 37–48.
42. [42] Gastli, Adel, Charabi, Yassine, Solar electricity prospects in Oman using GIS-based solar radiation maps. Renew Sustain Energy Rev 14 (2010), 790–797.
43. [43] Afghan Clean Energy Program, Kandahar City Utility Interconnected 10 MW Photovoltaic Power System Feasibility Assessment, USAID; May 2010.