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Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving (Case Study of Residential Architecture in Northwest of Iran)

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  • Amirmasood Nakhaee Sharif
  • Sanaz Keshavarz Saleh
  • Sadegh Afzal
  • Niloofar Shoja Razavi
  • Mozhdeh Fadaei Nasab
  • Samireh Kadaei
  • Chun Wei

Abstract

In the last decades, researchers have been considering some fundamental issues such as energy saving, global warming, greenhouse emissions, and non-renewable energy to make models of house environmental standards to achieve a suitable consumption pattern for saving energy. In architecture, using natural energy is one of the essential pillars of design because it was one of the criteria of designing, which was considered on climate and geography, and it has been a high performance of climate adaptation in the modeling of traditional houses. In this research, Azerbaijan (located in northwestern Iran) is selected to evaluate the practical features of traditional Iranian houses designed in the cold climate, and criteria for developing sensible solutions to achieve a suitable design model for energy saving are provided. The primary purpose of this paper is to evaluate and identify the features of climate design in traditional houses in a cold climate, which are suitable residential buildings for energy management, and to identify the components affecting energy saving. The data collection method is based on checklists, observation, considering the orientation, density, solar radiation angle in the region, documentary, analysis of maps, and adaptation of the architectural plan of the studied houses with the pattern of solar radiation in the area. This research discusses the design criteria for future structures and their adaptable measures based on the obtained results. Finally, it is declared that the traditional architectural design model follows the region’s climatic conditions, and considering the current climate and energies, traditional houses were designed; therefore, the best model for maximum use of available energy is climatic design. As a result, suggestions are made regarding residential architecture design to save energy.

Suggested Citation

  • Amirmasood Nakhaee Sharif & Sanaz Keshavarz Saleh & Sadegh Afzal & Niloofar Shoja Razavi & Mozhdeh Fadaei Nasab & Samireh Kadaei & Chun Wei, 2022. "Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving (Case Study of Residential Architecture in Northwest of Iran)," Complexity, Hindawi, vol. 2022, pages 1-12, September.
  • Handle: RePEc:hin:complx:3522883
    DOI: 10.1155/2022/3522883
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    Cited by:

    1. Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
    2. Chen, Ying & Liu, Yuxuan & Nam, Eun-Young & Zhang, Yang & Dahlak, Aida, 2023. "Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization," Energy, Elsevier, vol. 283(C).
    3. Cai, Wei & Wen, Xiaodong & Li, Chaoen & Shao, Jingjing & Xu, Jianguo, 2023. "Predicting the energy consumption in buildings using the optimized support vector regression model," Energy, Elsevier, vol. 273(C).
    4. Tian, Hao & Li, Ruiheng & Zhu, Yiping, 2023. "Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization," Energy, Elsevier, vol. 285(C).
    5. Amir Faraji & Fatemeh Rezaei & Payam Rahnamayiezekavat & Maria Rashidi & Hossein Soleimani, 2023. "Subjective and Simulation-Based Analysis of Discomfort Glare Metrics in Office Buildings with Light Shelf Systems," Sustainability, MDPI, vol. 15(15), pages 1-21, August.

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