Determination of Appropriate Strategies in the Field of Renewable Energies within Iranian Educational System and Prioritization of Them by Using Fuzzy Preference Programming (FPP) Technique

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش‌آموخته دکتری دانشگاه پیام نور

2 دانشجوی دکتری دانشگاه پیام نور

چکیده

The present study mainly aims to determine appropriate strategies for performing relevant educational programs to promote the level of awareness among different people of society to replace non-renewable energy resources with clean and renewable energy resources as well as to prioritize these strategies for use in the educational system of Iran. This study is conducted in two stages. In the first stage, the most important policies and strategies regarding the application of renewable energies and education in this field were extracted. Then 80 strategies proportionateaccording to Iran's educational needs in this field were suggested. The most comprehensive of them were determined using the comments of 50 specialists through a questionnaire. Among these strategies, 40 strategies were selected for training renewable energies at schools (10 cases), Higher Education (10 cases), informal education (10 cases), and non-formal education (10 cases). In the second stage, for prioritizing the selected strategies, another questionnaire including pairwise comparison tables of these strategies was prepared based on the results of the experts' comments and data resulting from it was used to rank the strategies using fuzzy preference programming (FPP) method in MATLAB software. All fuzzy group decision-‌making matrices are suitably adapted for each of the four educational groups (γi> 0.3679). Prioritization of these 40 strategies for training renewable energies in the educational system of Iran is presented at the end of the paper in terms of formal education at schools and universities, informal and non-formal education.

کلیدواژه‌ها

عنوان مقاله [English]

تعیین راهبردهای آموزشی در زمینه انرژیهای تجدیدپذیر در نظام آموزشی ایران و اولویت‌بندی آنها با استفاده از تکنیک برنامه‌ریزی فازی ترجیحی (FPP)

نویسندگان [English]

  • Somayeh Oryan 1
  • Jeiran Amiraslani 2
1 Department of Environmental Education, PNU University, Tehran, Iran
2 Department of Environmental Education, PNU University, Tehran, Iran

مراجع

Acikgoz, C. (2011). Renewable energy education in Turkey. Renewable Energy, 36, 608–611.
Annette,G. A. & Long, W. (2006).Road to Environmental Education for Sustainability in 2006. Australian Journal of Environmental Education, 22(1), 71-76.
Bellman, R.E.& Zadeh LA. (1970). Decision making in a fuzzy environment. Management Science, 17(4),141-164.
Buckley, J.J. (1985).Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3): 233-247.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Cheng, C.H. (1997). Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. European Journal of Operational Research, 96(2), 343-350.
Csutora, R. & Buckley, J.J. (2001). Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy Sets and Systems, 120 (2), 181-195.
Ghorbani, A. Rahimpour, H.R. Ghasemi, Y. Zoughi, S. & Rahimpour M.R. (2014). A Review of Carbon Capture and Sequestration in Iran: MicroalgalBiofixation Potential in Iran, Renewable and Sustainable Energy Reviews; (35), 73–100.
Hong, T. Koo, C. & Kwak, T. (2013). Framework for the implementation of a new renewable energy system in an educational facility. Applied Energy, 103 (3), 539–551.
Institute for Futures Studies and Technology Assessment. (2005). Environmental Education Renewable Energies for children and youth, Berlin, German, available from: https://www.izt.de/fileadmin/downloads/pdf/IZT_WB74.pdf/
Kandpal, T.C. & Broman L. (2014). Renewable energy education: A global status review. Renewable and Sustainable Energy Reviews.34, 300–324.
Leung LC, Cao D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124 (1), 102-113.
McCrea, E. J. (2006). The Roots of Environmental Education: How the past supports the future. Environmental Education & Training Partnership, available from: http://www.eetap.org/respository/modernems_documents/History.final.20060315.1.1.pdf.
Mikhailov L. (2003). Deriving priorities from fuzzy pairwise comparison judgments. Fuzzy Sets and Systems, (134), 365-385.
Ministry of Energy. Iranian energy balance sheet, year book 1395. (2015), Tehran, Iran.
Mourmouris, J.C. & Potolias, C. (2013). A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece. Energy Policy, 52, 522–530.
Payam,F. & Taheri, A. (2017). The Role of Energy Policy on Sustainable Development in Iran, Journal of Energy Management and Technology (JEMT), (1:2), 1-5. Available from http://www.jemat.org/article_50840_bea6e7c3425d9488103c7345d4144d41.pdf
Ramík, J. & Korviny, P. (2010). Inconsistency of pair-wise comparison matrix with fuzzy elements based on geometric mean. Fuzzy Sets and Systems, 161 (11),1604-1613.
REN21. (2016).Renewables 2016 Global Status Report. Paris, France, available from: http://www.ren21.net/REN21Activities /Global Status Report.aspx.
Rezaei, J. Ortt, R. and Scholten, V. (2013). An improved fuzzy preference programming to evaluate entrepreneurship orientation. Applied Soft Computing, 13(5), 2749-2758. https://doi.org/10.1016/j.asoc.2012.11.012.
Saaty TL. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Salo, A.A. (1996). On fuzzy ratio comparisons in hierarchical decision models. Fuzzy Sets and Systems, 84(1(, 21-32.
SATBA. (2016). Renewable Energy and Energy Efficiency Organization. ‎ available from: http://www.satba.gov.ir/.
Shobeiri SM, Abdollahi S.(2011). Theories and Applications of Environmental Education. 2nd ed.Tehran: Payam Noor.
UNCED. (1992). Agenda 21: Programme of Action for Sustainable Development: Rio Declaration on Environment and Development, New York, United Nations 1992; available from: http://www.un.org//content /documents /Agenda21.pdf
UNESCO. (1977). The Tbilisi Declaration: First International Conference on Environmental Education Final Report, Paris, France, available from: http://unesdoc.unesco.org/images/0003/000327/032763eo.pdf.
UNESCO-UNEP. (1975). The Belgrade Charter, Nairobi, Kenya & Paris, France, available from: http://unesdoc.unesco.org/images/0001/000177/017772eb.pdf
United Nations. Rio+20.(2012).The Future We Want. United Nations Conference on Sustainable Development, Rio de Janeiro, Brazil , available from: http://www.uncsd2012.org/
Van Laarhoven, P.J.M. and Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1), 229-241.
Wang, L. Chu, J. & Wu, J. (2007).Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, (107), 151-163.
Wang, T.C. & Chen, Y.H. (2008). Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP. Information sciences, 178 (19), ‌3755-3765.
Yang, J.L. Chiu, H. Tzeng, H.G. & Yeh, R.H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166-4183.
فصلنامه علمی آموزش محیط زیست و توسعه پایدار
دوره 6، شماره 4
شماره لاتین(مقالات به زبان انگلیسی)
شهریور 1397
صفحه 37-52

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