Future of Wind Energy in Iran

2012 ◽  
Vol 463-464 ◽  
pp. 940-944
Author(s):  
Mahdi Moharrampour ◽  
Mohammad Reza Asadi ◽  
Heidar Abdollahian
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Power Plants ◽  
National Development ◽  
Global Environment Facility ◽  
The Sustainable Development ◽  
Wind Power Plants ◽  
Development Framework ◽  
Electricity Power ◽  
The Moment

The activities in field of renewable energy in Iran are focused on scientific and research aspect. And research part is aimed at reduction of capital required for exploitation of related resources. The second step is to work research results into scientific dimension of this field for practical means, i.e. establishing electricity power plants. Due to recent advancements in wind energy, many inventors in the country have become interested in investing in this type of energy. At the moment, projects assuming 130 MW of wind power plants are underway. Of which, 25 MW is operational. The project of Iran's renewable energy aims to accelerate the sustainable development of wind energy through investment and removal of barriers. This preparatory project is funded by the Global Environment Facility (GEF) and will provide for a number of international and national consultant missions and studies. Once the studies are concluded, a project to develop 25MW of wind energy in the Manjil region of Gilan (N-Iran) will be prepared. It will be consistent with the national development framework and objectives and form part of 100MW of wind-powered energy, Which is expected to be developed under the government's third 5-year national development plan. (started 21 march 2000)

Investigation of accurate location planning for wind farm establishment: a case study

2019 ◽  
Vol 18 (4) ◽  
pp. 821-845
Author(s):  
Ali Mostafaeipour ◽  
Sajjad Sadeghi ◽  
Mehdi Jahangiri ◽  
Omid Nematollahi ◽  
Ali Rezaeian Sabbagh
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Dual Model ◽  
Content Type ◽  
Wind Power Plants ◽  
Dea Method ◽  
East Azerbaijan ◽  
First Time

Purpose Wind as a major source of renewable energy has received tremendous attentions due to its unique features to reduce carbon emission and also to keep the environment safe. Nevertheless, to use wind energy properly, the environmental circumstances and geographical location related to wind intensity should be considered as a priority. Different factors may affect the selection of a suitable location for developments of wind power plants; thus, these factors should be considered concurrently to identify the optimum location of wind plants. Design/methodology/approach In this study, first, basic data envelopment analysis (DEA) was used, then dual DEA was used and, finally, Anderson Petersen (AP) model of dual DEA was selected to prioritize cities or decision-making units (DMUs). Numerical Taxonomy (NT) method was also used to assess the validity of AP dual model in DEA. The prescribed approach was applied for five cities in East Azerbaijan province of Iran. Findings The results indicate that wind power as a renewable energy can be harnessed in few cities, and the ranking by DEA illustrated that the city of Tabriz is the first priority. Practical implications Low environmental degradation effects in comparison to other methods and the ability to utilization at a widespread level include the benefits of using wind energy in the generation of electricity. In this regard, the study of relevant potentials and finding suitable locations for the deployment of wind energy utilization equipment are essential. Using DEA method helps us to choose optimal locations according to different criteria. Social implications Wind energy is justifiable in reducing social costs in comparison with fossil fuel plants, which includes negative effects, and its electricity can be used as a sustainable energy in the country's economic, social and cultural development. Originality/value For identifying the most proper location for development of wind power plants in Iran, DEA is applied for the first time to prioritize the suitable locations for installations of wind turbines among five different cities in the East Azerbaijan region. A number of crucial factors including land price, distance to power, rate of natural hazards, wind speed and topography are considered for location optimization of wind turbines for the first time. Also, to validate the results of DEA method, NT method is used to assess the validity of AP dual model in DEA.

scholarly journals A decision making algorithm for wind power plant based on q-rung orthopair hesitant fuzzy rough aggregation information and TOPSIS

2022 ◽  
Vol 7 (4) ◽  
pp. 5241-5274
Author(s):  
Attaullah ◽  
◽  
Shahzaib Ashraf ◽  
Noor Rehman ◽  
Asghar Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Cost Effectiveness ◽  
Wind Energy ◽  
Wind Power ◽  
Rough Set ◽  
Fuzzy Set ◽  
Power Plants ◽  
Aggregation Operators ◽  
Wind Power Plants

<abstract><p>Wind energy is one of the most significant renewable energy sources due to its widespread availability, low environmental impact, and great cost-effectiveness. The effective design of ideal wind energy extraction areas to generate electricity is one of the most critical issues in the exploitation of wind energy. The appropriate site selection for wind power plants is based on the concepts and criteria of sustainable environmental advancement, resulting in a low-cost and renewable energy source, as well as cost-effectiveness and job creation. The aim of this article is to introduce the idea of q-rung orthopair hesitant fuzzy rough set (q-ROHFRS) as a robust fusion of q-rung orthopair fuzzy set, hesitant fuzzy set, and rough set. A q-ROHFRS is a new approach towards modeling uncertainties in the multi-criteria decision making (MCDM). Various key properties of q-ROHFRS and some elementary operations on q-ROHFRSs are established. A list of novel q-rung orthopair hesitant fuzzy rough weighted geometric aggregation operators are developed on the basis of defined operational laws for q-ROHFRSs. Further, a decision making algorithm is developed to handle the uncertain and incomplete information in real word decision making problems. Then, a multi-attribute decision making method is established using q-rung orthopair hesitant fuzzy rough aggregation operators. Afterwards, a practical case study on evaluating the location of wind power plants is presented to validate the potential of the proposed technique. Further, comparative analysis based on the novel extended TOPSIS method is presented to demonstrate the capability of the proposed technique.</p></abstract>

Thermo-Ecological Cost of Electricity Generated in Wind Turbine Systems

2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Tomasz Simla ◽  
Wojciech Stanek ◽  
Lucyna Czarnowska
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Wind Generation ◽  
Renewable Energy Consumption ◽  
Major Drawback ◽  
Wind Power Plants ◽  
Ecological Cost

Wind power is one of the most popular renewable energy sources (RES), characterized by rapid growth of installed power in the energy mix of many countries. Usually, the influence of wind technologies on the depletion of nonrenewable resources is evaluated taking into account the consumption of energy and materials in the construction phase. However, it should be noted that the major drawback of wind energy is its random availability which also influences the consumption of resources. This consumption results from the necessity of compensation for random operation of wind power plants by conventional ones operating in off-design point. In the present work, thermo-ecological cost (TEC) is proposed for the evaluation of the performance of wind generation systems operating with random accessibility of wind energy. The presented analysis focuses on the estimation of additional non-renewable energy consumption due to the part-load operation of the conventional power units. Different strategies are assumed for the compensation for the hourly wind power variations. The presented results of TEC analysis show that the part of TEC resulting from induced losses can be significant. The authors prove that, within the assessment of wind turbines, the induced losses cannot be omitted.

scholarly journals Distribusi Weibull Kecepatan Angin Wilayah Kecamatan Pangarengan Kabupaten Sampang Madura

2019 ◽  
Vol 4 (1) ◽  
pp. 57
Author(s):  
Arin Wildani ◽  
Septiana Kurniasari
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Wind Power ◽  
Power Plants ◽  
Secondary Data ◽  
Energy Availability ◽  
Fossil Energy ◽  
Wind Power Plants

ABSTRAK Ketergantungan Indonesia terhadap ketersediaan energi fosil menjadi masalah baru dalam kelangsungan hidup rakyat Indonesia di masa yang akan datang. Energi fosil yang bersifat terbatas dan tidak terbarukan akan habis dalam kurun waktu tertentu. Sehingga diperlukan langkah baru untuk menggunakan energi baru dan terbarukan seperti energi angin. Penelitian ini dilakukan untuk mengetahui potensi pembangunan pembangkit listrik tenaga angin di wilayah Kecamatan Pangarengan Kabupaten Sampang Madura.  Penelitian ini dilakukan dengan cara menganalisa kecepatan angin berdasarkan data dari pengukuran anemometer menggunakan distribusi Weibull. Data yang digunakan yaitu data sekunder yang didapatkan dari dari BMKG Kalianget Sumenep. Berdasarkan distribusi weibull didapatkan bahwa parameter  k sebesar 2,67dan c sebesar 2,88. Dari nilai k dan c didapatkan bahwa persentase probabilitas energi angin paling banyak pada tahun 2016 yaitu 2,5 m/s sebanyak 45%  sedangkan tahun 2017 sebesar 2,6 m/s dengan probabilitas 70%.Kata kunci: energi angin, kecamatan pangarengan, distribusi weibull ABSTRACTIndonesia's dependence on fossil energy availability is a new problem in the survival of the Indonesian people in the future. Fossil energy that is limited and non-renewable will run out in a certain period of time. So that new steps are needed to use new and renewable energy such as wind energy. This research was conducted to determine the potential for the construction of wind power plants in the Pangarengan District, Sampang Madura District. This research was conducted by analyzing wind speed based on data from anemometer measurements using the Weibull distribution. The data used are secondary data obtained from BMKG Kalianget Sumenep. Based on the weibull distribution it was found that the parameters k were 2.67 and c were 2.88. From the values of k and c, it was found that the percentage of probability of wind energy was the most in 2016, which was 2.5 m/s as much as 45% while in 2017 it was 2.6 m / s with a probability of 70%.

Review of Renewable Energy in Iran

2012 ◽  
Vol 463-464 ◽  
pp. 980-984
Author(s):  
Mohammad Reza Asadi ◽  
Mahmoud Baghban Torgadri ◽  
Mahdi Moharrampour
Keyword(s):  
Renewable Energy ◽  
Crude Oil ◽  
Power Plants ◽  
Environmental Safety ◽  
Biomass Energy ◽  
Nw Iran ◽  
Wind Power Plants ◽  
Geothermal Potential ◽  
Biomass Resources ◽  
The Moment

Increasing in consumption of petroleum, population, environmental problems, diminishingly fossil sources and world trend to energy technology respect to environmental safety and renewable energy are some reasons for most countries to use and investigate on renewable energy. In this regard this paper presents the state of geothermal, wind and biomass energy in Iran. Results indicate that Iran has substantial geothermal potential, specifically in the Sabalan (NW-Iran) and Damavand (N-Iran) regions that are considerate prospects for electric power generation and direct uses. Due to recent advancements in wind energy, many inventors in the country have become interested in investing in this type of energy. At the moment, projects assuming 130 MW of wind power plants are underway. Of which, 25 MW is operational. Results of this study shows that the major biomass resources in Iran are agricultural solid wastes (%59), animal wastes (%28), corrupting waste materials (%11), and industrial waste waters (%2). According to statistical data, the potential biomass energy in Iran is equal to 15 million ton of crude oil which will be estimated about %13 of annual Iranian crude oil sale.

scholarly journals A SWOT Analysis for Offshore Wind Energy Assessment Using Remote-Sensing Potential

2020 ◽  
Vol 10 (18) ◽  
pp. 6398
Author(s):  
Meysam Majidi Nezhad ◽  
Riyaaz Uddien Shaik ◽  
Azim Heydari ◽  
Armin Razmjoo ◽  
Niyazi Arslan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Renewable Energy ◽  
Wind Energy ◽  
Power Plants ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Offshore Wind ◽  
Energy Sources ◽  
Measuring Instruments ◽  
Offshore Wind Energy

The elaboration of a methodology for accurately assessing the potentialities of blue renewable energy sources is a key challenge among the current energy sustainability strategies all over the world. Consequentially, many researchers are currently working to improve the accuracy of marine renewable assessment methods. Nowadays, remote sensing (RSs) satellites are used to observe the environment in many fields and applications. These could also be used to identify regions of interest for future energy converter installations and to accurately identify areas with interesting potentials. Therefore, researchers can dramatically reduce the possibility of significant error. In this paper, a comprehensive SWOT (strengths, weaknesses, opportunities and threats) analysis is elaborated to assess RS satellite potentialities for offshore wind (OW) estimation. Sicily and Sardinia—the two biggest Italian islands with the highest potential for offshore wind energy generation—were selected as pilot areas. Since there is a lack of measuring instruments, such as cup anemometers and buoys in these areas (mainly due to their high economic costs), an accurate analysis was carried out to assess the marine energy potential from offshore wind. Since there are only limited options for further expanding the measurement over large areas, the use of satellites makes it easier to overcome this limitation. Undoubtedly, with the advent of new technologies for measuring renewable energy sources (RESs), there could be a significant energy transition in this area that requires a proper orientation of plans to examine the factors influencing these new technologies that can negatively affect most of the available potential. Satellite technology for identifying suitable areas of wind power plants could be a powerful tool that is constantly increasing in its applications but requires good planning to apply it in various projects. Proper planning is only possible with a better understanding of satellite capabilities and different methods for measuring available wind resources. To this end, a better understanding in interdisciplinary fields with the exchange of updated information between different sectors of development, such as universities and companies, will be most effective. In this context, by reviewing the available satellite technologies, the ability of this tool to measure the marine renewable energies (MREs) sector in large and small areas is considered. Secondly, an attempt is made to identify the strengths and weaknesses of using these types of tools and techniques that can help in various projects. Lastly, specific scenarios related to the application of such systems in existing and new developments are reviewed and discussed.

scholarly journals On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece

2008 ◽  
Vol 3 (1) ◽  
pp. 015003 ◽  
Author(s):  
George Caralis ◽  
Yiannis Perivolaris ◽  
Konstantinos Rados ◽  
Arthouros Zervos
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Spatial Dispersion ◽  
Energy Capacity ◽  
Wind Power Plants

scholarly journals Combining Wind and Pumped Hydro Energy Storage for Renewable Energy Generation in Ireland

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Alice Coburn ◽  
Eilín Walsh ◽  
Patrick J. Solan ◽  
Kevin P. McDonnell
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Wind Energy ◽  
Power Plants ◽  
Wind Farms ◽  
Energy Generation ◽  
Western Coast ◽  
Hydroelectric Power ◽  
Wind Potential ◽  
Renewable Energy Generation

Ireland has one of the highest wind energy potentials in Europe. The intermittent nature of wind makes this renewable resource impractical as a sole source of energy. Combining wind energy with pumped hydro energy storage (PHES) can overcome this intermittency, consuming energy during low-demand periods and supplying energy for periods of high demand. Currently Ireland has a number of hydroelectric power plants and wind farms of various scales in operation. A feasibility study was conducted to investigate the potential of securing a reliable source of renewable energy by increasing the penetration of hydroelectric power by means of combined wind-PHES developments. The greatest wind potential is experienced along the western coast of Ireland and a number of sites were identified here which satisfied a minimum mean wind speed criterion of 10.5 ms−1. Each site was then further evaluated according to topographical requirements for PHES. All but two of the identified sites are immediately unsuitable due to the presence of areas protected under European legislation; this highlights the nonenergy related obstacles in the path of renewable energy generation in Ireland and suggests that a compromise should be researched which could facilitate both renewable energy generation and species and habitat protection in Europe.

scholarly journals A Review on Wind Turbine and Wind Generator Used in WECS

2019 ◽  
pp. 01-04
Author(s):  
Nitish Kumar Singh ◽  
Dashrath Kumar
Keyword(s):  
Energy Source ◽  
Wind Energy ◽  
Wind Turbine ◽  
Power Quality ◽  
Power Plants ◽  
Harmonic Distortion ◽  
Energy Resource ◽  
Electrical Energy ◽  
Wind Power Plants ◽  
Core Energy

The applications of wind energy develop much rapidly than the other renewable resources such as solar, geothermal and so on in the 21st century. It becomes the third core energy resource following non-conventional fuels as oil and chemical. Electrical energy generated by wind power plants is the best ever developing and most promising renewable energy source. The wind is a clean, free and limitless energy source. Wind Energy Generation Systems (WECS) are confront with increasing demands for power quality and harmonic distortion control. With the advance in power electronics technology, the fast growth of variable speed WECS is now witness. However, the power quality still remains an important issue to be addressed thoroughly by researchers. This paper presents a comparative study on grid connected WECS having two different Wind Turbine Generator Systems (WTGS) using DFIG and PMSG.

scholarly journals Special Aspects of Using the Wind Power Plants In the Power Supply System

2021 ◽  
Vol 288 ◽  
pp. 01003
Author(s):  
Saken Koyshybaevich Sheryazov ◽  
Sultanbek Sansyzbaevich Issenov ◽  
Ruslan Maratbekovich Iskakov ◽  
Argyn Bauyrzhanuly Kaidar
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Plants ◽  
Power Grid ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Wind Power Plants

The paper describes special aspects of using the wind power plants (wind turbines) in the power grid. The paper provides the classification and schematic presentation of AC wind turbines, analyzes the role, place and performance of wind power plants in Smart Grid systems with a large share of renewable energy sources. The authors also reviews a detailed analysis of existing AC wind turbines in this paper. Recommendations are given for how to enhance the wind power plants in smart grids in terms of reliability, and introduce the hardware used in the generation, conversion and interface systems into the existing power grid. After the wind power plants had been put online, the relevance of the Smart Grid concept for existing power grids was obvious. The execution of such projects is assumed to be financially costly, requires careful study, and development of flexible algorithms, but in some cases this may be the only approach. The analysis of using wind turbines shows that the structural configuration of wind power plants can be based on the principles known in the power engineering. The approaches may differ, not fundamentally, but in engineering considerations. it is necessary to point out that the method of controlling dual-power machines is quite comprehensive so that their wide use will face operational problems caused by the lack of highly professional specialists in electric drives. Therefore, it seems advisable to use square-cage asynchronous generators in wide applications. The paper shows that as the renewable energy sources are largely used in power grids, there is an issue of maintaining the power generation at a required level considering the variability of incoming wind energy. This results in the malfunctions in the operation of relay protection devices and emergency control automatics (RP and ECA), and the complicated control. Also, the standards of the CIS countries and regulatory documents miss the requirements for the wind turbine protections, taking into account their specialty causing the inefficient standard protective logic, which does not work correctly in a number of abnormal and emergency operating modes, and especially Smart Grid in power grids.

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