Capability Analyzing of Solar Energy Based on Climatic Criteria Recognition in Iran’s Architectural Design by the Use of Fuzzy Analytical Hierarchy Process Method (FAHP)

Document Type: Original Paper


1 Ph.D., Department of Architecture, Faculty of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Assistant Professor, Department of Architecture, Faculty of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran.

3 Professor, Department of Arcitecture, Faculty of Fine Arts, Tehran University, Tehran, Iran.

4 Assistant Professor, Shahed University, Technical and Enginerring Unversity, Tehran, Iran.


Developing a comprehensive document based on the utmost use of renewable energy efficiency in the architecture design is the first step in national level to follow the goals of sustainable architecture and this is not possible without having a deep trend of the climatic compartment. The modeling of comprehensive energy plans in the architecture without having a quantitative approach is incomplete and inefficient in all of these areas without accurate scrutiny Also, one of the main challenges regarding the climatic compartment in architecture is the qualitative approach of designers and researchers of architecture towards this science; which has a basic contradiction with quantitative data of climate science. Hence, through the quantitative potential climatic investigation and integrating it with qualitative components affecting architecture, a suitable approach to architectural design is obtainable. The purpose is to measure and evaluate solar energy in the design of the architecture of buildings in Iran with a climatic approach. The first step in achieving this purpose is to identify and prioritize the relevant factors and criteria for utilizing the solar energy capability in the design of architecture and climate. The variables of this model with the above objective function include 5 main criteria and 15 sub-criteria. In the next step, we define and eliminate non-usable areas and then draw a fuzzy hierarchy structure. After that, the relative weight of criterion is determined using the FAHP technique and based on the views of a group of academic, governmental and industrial experts in the Super Decision analysis software.


Amer, M., & Daim, T. U. (2011). Selection of renewable energy technologies for a developing county: a case of Pakistan. Energy for Sustainable Development, 15(4), 420-435.

Besarati, S. M., Padilla, R. V., Goswami, D. Y., & Stefanakos, E. (2013). The potential of harnessing solar radiation in Iran: Generating solar maps and viability study of PV power plants. Renewable energy, 53, 193-199.

Datta, A., Ray, A., Bhattacharya, G., & Saha, H. (2011). Green energy sources (GES) selection based on multi-criteria decision analysis (MCDA). International Journal of Energy Sector Management, 5(2), 271-286.

Global Status Report. (2015). Renewables Global Status Reportaccess in 12.4.2015.

Heidari, Sh. (2015). Planning and managing energy resources by looking at architecture. Tehran: Tehran University Press.

Hiremath, R. B., Kumar, B., Balachandra, P., & Ravindranath, N. H. (2010). Bottom-up approach for decentralised energy planning: Case study of Tumkur district in India. Energy Policy, 38(2), 862-874.

Kahraman, C., Kaya, İ., & Cebi, S. (2009). A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34(10), 1603-1616.

Kaya, T., & Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517-2527.

Lee, S. K., Mogi, G., Lee, S. K., Hui, K. S., & Kim, J. W. (2010). Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach. International journal of hydrogen energy, 35(6), 2236-2246.

Mohajeri, M., and Khaksar Astaneh, K. (2013). Prioritizing renewable energy sources in Iran from a sustainable development perspective using the Fuzzy Analytical Hierarchy Process (FAHP). 3rd International Conference on Environmental Planning and Management. Tehran.

Mirzaei, M., and Bagherinejad, J. (2012). Providing a Hierarchical Model for Prioritizing Renewable Energies with Fuzzy Logic.

 2nd Conference on Environmental Planning and Management.

New Energy Organization of Iran. (2015). Renewable Energy Potentiometric Report. Retrieved from:

Noorollahi, E., Fadaei, D.  and Mozafari, M.  (2016). Potentiometric Exploitation of Climatic Factor-Based Solar Panels Using FAHP and GIS (Case Study: Ilam Province). Iranian Journal of Energy. 1-27.

Olfat, L., and Turkestani, M.S. (2006). "Application of the Analytical Hierarchy Process (AHP) to support the decision making of specialists in prioritizing renewable energy sources in Iran." The first international conference on energy management and planning.

Prasad, R. D., Bansal, R. C., & Raturi, A. (2014). Multi-faceted energy planning: A review. Renewable and Sustainable Energy Reviews, 38, 686-699.

Razeghi, A. (2011). ”Geothermal energy and its applications." Journal of  Scientific Starch (2nd year): 30-35.

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

Sadeghi, A. et al. (2012). Optimal combination of primary energy sources of Iranian power plants with a fuzzy Analytical Hierarchical Process Approach (FAHP). 2nd Conference on Environmental Planning and Management. Tehran.

Saeedpoor, M and Vafadarnikjoo, A. ( 2015). Corrigendum to Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul.  Energy. 536-537.

San Cristóbal, J. R. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.

Uyan, M. (2013). GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey. Renewable and Sustainable Energy Reviews, 28, 11-17.