فصلنامه پژوهش های سیاستگذاری و برنامه ریزی انرژی
سال هشتم شماره 2 (تابستان 1401)

The main purpose of this study is to provide three simulation-based risk management models for optimal placement of wind turbines in Khodabandeh city (located in the south of Zanjan province) taking into account the wake effect and uncertainty in wind speed and direction. For this purpose, wind speed and direction data were collected, then wind speed and direction uncertainty was modeled by Monte Carlo simulation and three risk management models presented were optimized with PESA-II, NSGA-II and MOPSO algorithms. Standard deviation and tenth percentile are used as risk criteria. Based on the findings, the maximum output power of the wind farm is about 8.5 MW. Also, according to the tenth percentile risk criterion, in 90% of cases, the production is less than 1.8 MW, which it was found that the construction of a wind farm in the area has a high production risk. Is. Therefore, investing in the study area requires high risk-taking of the investor. The risk management models used in the research provide useful detailed information about the expected power, cost and risk of constructing a wind turbine project. Comparing the performance of algorithms for all three models in terms of proximity of solutions to the ideal solution, PESA-II algorithm and in terms of variety of solutions, NSGA-II algorithm has a better performance than other algorithms

Developments in today's world in the light of the world's industrialization, increasing air pollution, limited fossil fuels and the right to a healthy environment, reveal the need to use renewable energy. The method of the present research is descriptive-analytical and the research data has been extracted from books, articles and official statistics by the Ministry of Energy, the World Energy Organization and other related institutions. Explaining what is legally available in Iran in the field of renewable energy development and moving towards it is one of the most important prerequisites on which the main purpose of this research is based. What are the results of this study are: 1) Weak legislative and executive mechanisms in Iran regarding the need to use renewable energy, due to cheap and easy access to fossil energy, without considering its environmental costs. ; 2) The set of domestic laws and regulations in the field of electricity do not have the ability to implement international obligations to reduce Iran's emissions. 3) The implementation of Iran's emission reduction obligations interferes with some of the current laws, strategies and procedures in the field of electricity in Iran, and the relevant laws in the field of electricity in Iran are not sufficient to meet the international obligations of COP21.

The purpose of the present study is to develop a human resource management model with a sustainable organizational development approach. This research was conducted in the framework of a qualitative approach using Grounded theory research method. The statistical population of the study consisted of managers working in the electrical industry and were selected through theoretical and purposeful sampling (judgment and quota). Sample size was determined by theoretical saturation criterion, 17 people. Atlas TI software was used to analyze the data from the interviews and coding. Data analysis was done in three stages of open coding, axial coding, and selective coding and based on this, a qualitative research model was presented. findings of the research resulted in the extraction of 373 open source codes, 80concepts and 23 categories, which were in the paradigm model including axial categories (sustainable working systems, equilibrium, autonomy and HRM systems), causal conditions (organizational and community value and management system, necessity of Maintain and Human Resource Development and Socio-Economic Responsibility and Legal Responsibility), Strategies (Creating and Developing a Common Idea, Process Approach, Selection and Maintenance and Awareness), Governing Background (Sustainability Insights, Organizational Capability, Strategic Alignment and Organizational Capital), and ultimately Outcomes (Economic superiority Performance, superior social performance, and superior environmental performance).

Sustainable architect considers the performance of new designs regarding recycling, hazardous substances, energy consumption, carbon dioxide emissions, and other environmental impact objectives. Sustainable architect assesses the entire building life cycle. Therefore, this study aims to investigate awareness, attitude and behavioural intention. We used the questionnaire of the Department for Environment, Food and Rural Affairs to gather data of stores from 1st Sadeghiyeh square to Poonak square of Tehran in 2022. Eighty sellers were chosen, and 61 sellers answered the questionnaire. Data were validated by descriptive statistics, reliability analysis with Cronbach's alpha test, correlation coefficient and P-Value. Results clarified that awareness of environmental and sustainable architecture issues is from medium to high. Information in this field was gathered from radio and television, and web sources. Furthermore, the importance of sustainable architecture issues is from medium to high. There was a strong behavioural intention to reduce energy consumption in the buildings. Based on the results of this study, we concluded that increasing awareness of environmental and sustainable architecture issues causes increasing behavioural intention in this field.

Developing countries like Iran face increasing energy demands due to population growth and economic expansion. The country has numerous renewable energy resources that account for the majority of its total energy supply. As fossil fuel resources are running out, the government plans to increase its renewable energy share. Many studies have already been conducted on renewable resources. However, the interdependence between the criteria used to evaluate renewable resources has not been considered. This paper presents a planning, decision-making, and policy framework for renewable energy based on the Analytical Network Process (ANP). ANP is a multi-criteria analysis method and provides a tool for determining the relative importance of all criteria that affect the decision objective. This process allows us to identify dependencies and include them in the multi-criteria evaluation and decision-making method from the point of view of a group of experts and professionals on the subject. The case study of this research is related to the country of Iran, and strategic criteria such as technology, economy, environmental, political and social impacts are calculated and priorities for renewable energy are set and analyzed. The results of this study show that solar energy is at the top of energy alternatives for the country. Such studies help countries to make the best use of their renewable energy sources

In recent years, with the increase in energy demand, the expansion of distribution networks, and the industrialization of societies, the world has witnessed climate change and an increase in natural disasters. The main problem after these disasters is the power outage of consumers. Since many natural disasters occur in Iran, immediate action is needed to restore the system after these disasters. According to the recent research gap in distribution networks, this study has introduced resilient solutions to deal with natural disasters in distribution networks by examining the concept of energy resilience. In the first part, the priority of critical loads was determined by a questionnaire. Then, by introducing four scenarios, the network was examined. The RPV (System Resilience Index) has increased from 38% to more than 99% in the third scenario. Also, failure to prioritize loads and reconfiguration reduced the RPV by 21%.