List of Articles wind power plant

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Simultaneous location and design of solar and wind power plants in Fars province in order to reduce greenhouse gases
  Mehdi Motevasel saman tashakor mohammad Arghavan
  Introduction: Today, the utilization of renewable energy has not only enhanced the efficiency and effectiveness of power plants but has also resulted in a substantial reduction in greenhouse gas emissions from fossil fuel power plants, offering numerous environmental be More

  Introduction: Today, the utilization of renewable energy has not only enhanced the efficiency and effectiveness of power plants but has also resulted in a substantial reduction in greenhouse gas emissions from fossil fuel power plants, offering numerous environmental benefits for human societies. This research specifically focuses on harnessing the synergistic potential of solar and wind energy to achieve improved cost-efficiency and greater utilization of both resources. The study examined eight cities in Fars province, each with varying climatic conditions. Materials and Methods: The Fuzzy Hierarchy Analysis Process is employed to select the most suitable location within each of the selected cities for the construction of a power plant. To make this selection, various factors, including wind density, solar radiation, population, and susceptibility to natural disasters, are taken into account. The assessment involves the calculation of three key indicators based on mathematical relationships and environmental measurements. These indicators encompass wind density, solar radiation intensity, as well as the population and the vulnerability to natural disasters such as earthquakes, floods, and dust storms.Additionally, fuzzy logic is utilized to assign weightings and determine a single value for these three attributes. This value is computed using MATLAB software. Results and Discussion: In this research, the cities of Fars province were compared with four different criteria. According to the survey, the best cities were determined using the fuzzy hierarchical analysis method, and the results show that the best city was Euclid, followed by Safasher and Bowanat. The survey showed that the cities of Kazeroon and Firozabad have the lowest points based on the construction of wind-solar power plants. To analyze the obtained result, different criteria should be checked. It was observed that in the ranking of criteria, the score of solar and wind energy criteria is more important than the other two criteria. Conclusion: The surveys have revealed that the most suitable city for the construction of a wind-solar power plant is Eghlid, followed by Safasher, Bowanat, and Izdakhsht. Conversely, Kazeroon and Firouzabad rank lowest in terms of suitability for such power plant projects.Subsequently, the design of the power plant in the city of Optimum has been thoroughly discussed. In this context, three different operational modes have been considered: one with a 50% reliance on solar energy and 50% on wind energy, another with a 70% reliance on solar energy and 30% on wind energy, and a third with 30% solar and 70% wind energy utilization. The results indicate that the most optimal performance is achieved when 70% of the power production comes from wind turbines and 30% from the solar power plant. This approach proves to be increasingly effective as time progresses. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - The new hybrid SELKA method for evaluation, ranking and selection of green suppliers in the supply chain
  Elham Shadkam Fatemeh Adineh
  10.30495/jest.2022.55308.5161
  Background and Objective: With the increasing number of environmental problems, it is very important to pay attention to environmental standards in the supply chain and has led to the creation of a green supply chain that causes the least damage to the environment. Eval More

  Background and Objective: With the increasing number of environmental problems, it is very important to pay attention to environmental standards in the supply chain and has led to the creation of a green supply chain that causes the least damage to the environment. Evaluating, ranking and selecting a green supplier in the supply chain is important in order to reduce costs and achieve more profit and thus increase the efficiency and performance of the supply chain. The purpose of this article is to evaluate and select the best green suppliers of wind farm equipment using SELKA proposed approach and to prioritize suppliers according to economic and environmental criteria in the supply chain using this method. Material and Methodology: In this paper, a hybrid approach called SELKA method is presented, which is a combination of data envelopment analysis methods and hierarchical analysis process, and the crossover matrix of efficiency is used instead of the matrix of weights. Findings: The most important advantage of the proposed approach is to simultaneously consider the efficiency of suppliers and evaluate them according to the existing criteria, which is not considered in any of the decision-making methods, and thus leads to a more accurate and efficient evaluation of suppliers. Discussion and Conclusion: In order to validate SELKA's proposed method, the issue of evaluation and selection of green suppliers in wind power plants is discussed and the results are compared with similar methods. The results show the superiority of the proposed method of the article in the ranking of suppliers and selects more efficient suppliers. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - Analysis of Land Suitability to Locate Wind Power Plant in Ardabil Province Using AHP and SAW Methods in GIS Environment
  Hamid reza Jafari Ali Azizi Hossein Nasiri Sepideh Abedi
  AbstractFinding the best site for construction of wind farm such as any other engineering project needs basicinformation and specific programming. After confirmation of exploitable wind potential, finding thesuitable location of wind farm regarding to various technical, More

  AbstractFinding the best site for construction of wind farm such as any other engineering project needs basicinformation and specific programming. After confirmation of exploitable wind potential, finding thesuitable location of wind farm regarding to various technical, economic-social and natural factors areso important. This study analyzes land suitability for placing wind farm in Ardabil province regardingto some effective factors such as height, slope, and distance from urban areas, distance from villageregions, distance from water bodies and distance from main roads networks. For this purpose, at first 9effective factors are identified and prepared in GIS and weight of each criterion and classes arecalculated by Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods.The next step of procedure was the elimination of exclusionary areas for wind power plant.Afterwards, the study area was zoned for each criterion using analytical functions of GIS. Finally byintegrating zoned maps based on weight from AHP and SAW methods, final map of both methods aresupplied in 5 classes from completely suitable to unsuitable. In this study comparing the results of 2methods expressive that AHP method results are more cautious than SAW results. Also Completelysuitable class resulted from 2 methods in spite of different area, shows Ardabil Plain and foothills ofSabalan could be considered as suitable site to exploit of wind energy. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  4 - Wind farm site selection based on geospatial multi-criteria and analytical hierarchy process (AHP) (Case study: Bushehr province)
  Tayebeh Tabatabaei Fazel Amiri
  The aim of this paper is site selection for wind farm based on multi-criteria; climate (wind speed, dominant wind speed and temperature), geography (elevation, slope), socio-economic (distance from roads, distance from cities, distance from the villages), environmental More

  The aim of this paper is site selection for wind farm based on multi-criteria; climate (wind speed, dominant wind speed and temperature), geography (elevation, slope), socio-economic (distance from roads, distance from cities, distance from the villages), environmental (distance from protected areas, landuse, distance from the river), and geological (distance from the earthquake, distance to faults) in a geographic information systems (GIS) using analytical hierarchy process (AHP) in the Bushehr province. According to the role and influence of these criteria, preferences site map is implemented in ArcGIS®10.1 software. Weight of criteria and alternative are determined using AHP in ExpertChoice2000 software. For modeling, spatial analysis and integration layers ArcGIS®10.1 setting was used and the zoning map was obtained at four different classes (very high, high, moderate and low). The results of the site suitability assessment by AHP showed that site NE located at Bushehr province was the most suitable area for locating the wind farm, with covers area of 566218 ha, 24.8% of the total area. Furthermore, the map provides the foundation for decision makers in develop the wind farm location. Finally, the results indicate that GIS as a decision support system, can also prepare the data and the model priorities and expert opinions in relation to various factors in selecting an appropriate location and design is very efficient will help to build power plants. The results indicate that the AHP than other methods of high flexibility in modeling the geospatial data on site selection of wind farm. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  5 - Assessment of Wind Energy Potential in Green-Mountain, Libya
  Saad Alfalahi Walaa Mahdi Sabah Alwatar Mohammed Abdulhadi Aiman Nouh
  10.22094/joie.2023.1997285.2104
  Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  6 - Wind power plants site selection using Boolean model and ArcGIS (Case study: Mazandaran Province)
  Reyhaneh Bairamvand Sadroddin Motevalli GholamReza Janbaz Ghobadi Khabat Derafshi
  Recently, Mazandaran Province has needed more energy. Considering the capabilities of this province in generating renewable energy, recognizing the potentials of clean energy generation and consumption, especially wind energy, should be a priority in the plans of manage More

  Recently, Mazandaran Province has needed more energy. Considering the capabilities of this province in generating renewable energy, recognizing the potentials of clean energy generation and consumption, especially wind energy, should be a priority in the plans of managers and researchers. A descriptive, analytical and field approach is used in this study. The spatial capability of wind power plants in Mazandaran Province was evaluated using spatial and quantitative data. In order to initially estimate the energy that can be obtained from wind flow in the province, the necessary calculations were performed on wind direction and velocity information over a period of 12 years. Then, based on the group of experts, documentary and library studies, scientific resources in this field and available data, four climatic, economic, environmental-social and topographical factors, have been selected as the most important indicators to determine suitable areas for the establishment of wind power plants in Mazandaran Province. These four criteria include 18 sub-criteria and after weighting and overlapping, the final zoning map was prepared using the Boolean model. According to the final map, the central strip of the province within the boundaries of Noor, Amol and Babol counties, the northern parts of Noor and Sari counties, the south of Savadkooh and Qaemshahr counties, as well as the central and southern parts of Behshahr county, are more suitable areas than other parts of Mazandaran Province for establishing wind power plants. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  7 - Damping Controller Design in Offshore Wind Power Plants to Improve Power System Stability Using Fractional Order PID Controllers Based on Optimized Exchange Market Algorithm
  Naser Taheri Hamed Orojlo Faramarz Ebrahimi
  In this paper, the design of damping supplementary controller in VSC HVDC transmission systems, which is the interface of Offshore Wind Power Plant (OWPP) with the main power system, is studied. First, it is shown that the speed-power curve in a wind turbine affects the More

  In this paper, the design of damping supplementary controller in VSC HVDC transmission systems, which is the interface of Offshore Wind Power Plant (OWPP) with the main power system, is studied. First, it is shown that the speed-power curve in a wind turbine affects the damping of oscillation and electromechanical modes of the power system, and depending on the operating conditions of the turbine, the extent of this effect varies. Then, to improve the dynamic stability of the power system, the use of an optimized supplementary controller in the VSC HVDC system will be proposed. The proposed controller is added as an additional loop to the converter control circuits in VSC HVDC and will amplify the damping torque in the generators by correcting the damping coefficient of the system oscillation modes. In addition, a solution is provided to use the supplementary controller in the most optimal path, so that the most controllability on the oscillation modes and the least interference with other channels between the input-output signals are provided. To design the proposed controller, a fractional order PID controller will be used whose coefficients are adjusted through an optimized exchange market algorithm. The optimization of the algorithm is done by using mutation and crossover operators in the genetic algorithm with the aim of avoiding bats being trapped at local extremum. The simulation results show that the method proposed in this paper not only improves the dynamic stability of the power system but also strengthens the voltage profile. Manuscript profile