---

This article presents an assessment of wind energy during 20 months with the time interval of 10-minutes in Shush-tar station in Iran. Weibull distribution function was used to model the wind data. In the first phase of the study,the error obtained from Weibull distribution was compared with three other models namely, Rayleigh, Logistic and Log-normal. It was concluded that Weibull distribution is the best function to model the wind speed in Shush-tar. From the initial evaluation of wind data, it was found that the studied site doesn’t have sufficient wind potential for using large and medium scale wind turbines.Thus an economic evaluation of three small wind turbines was performed on RETScreen® software.The economical indicators like the simple payback period, the Benefit-cost ratio, the net present value, and the cost of renewable energy production showed that the proposed small wind turbines are not feasible in the city of Shush-tar. It was suggested that in addition to the study of other renewable sources such as solar energy in shush-tar,a feasibility study for installation of a hybrid system which uses both solar photovoltaic panels and a small wind turbine can be considered for the next study.

---

The energy consumption of buildings is a large part of the total energy consumption of the world. Cold climates can have a bigger challenge in increasing energy efficiency in buildings. The review was conducted on energy consumption optimization solutions based on Köppen-Geiger climatic zoning, sustainable development, and environmental conditions in cold climate architecture. The most decisive criterion for cooling and heating energy consumption of the building is providing comfort conditions with temperature and humidity criteria. Based on the findings, knowledge of climatic indicators is necessary for architectural design. Understanding the characteristics of factors such as sunlight, temperature and humidity have a direct impact on determining building orientation, size, direction of openings, and type and quality of materials inside and outside the building. The most appropriate way to identify passive methods in providing thermal comfort conditions and efficiency of each one is to pay attention to different areas of the psychrometric chart of that particular climate. Effective factors in building energy consumption in cold climates are classified into two groups: human factors and technical factors. Taking advantage of new technologies in the building envelope, efficient building service systems, human activities through the use and proper maintenance and new business models to improve the performance of the building as well as the use of clean energy such as solar energy can significantly optimize energy consumption in cold climate buildings. Exhaust air heat pumps in a balanced ventilation system, use the exhaust air as a heat source for domestic hot water, air supply and space heating. In buildings equipped with web-based Building Energy Management Systems (BEMS) operating systems, an online remote control is possible. It is suggested to carry out sufficient studies to identify and apply indigenous technologies of renewable energy, artificial intelligence, and new materials in the management of building energy consumption based on Iran's climate.