Evaluation of wind power generation potential using a three hybrid approach for households in Ardebil Province, Iran

Qolipour, Mojtaba; Mostafaeipour, Ali; Shamshirband, Shahaboddin; Alavi, Omid; Goudarzi, Hossein; Petković, Dalibor

doi:10.1016/j.enconman.2016.04.007

Cited by 52 publications

(31 citation statements)

References 29 publications

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“…Some authors usually consider an average local wind speed, usually measured in m/s, considering historical wind speed data to verify the wind potential of the studied region. Qolipour 87 emphasizes the attention that should be given to quantitative and qualitative changes in wind speed for wind power production. According to the author, there is no doubt that wind is the most important factor in building a wind farm, so not only the changes in wind speed but also the effect of these changes on the amount of electricity produced should be measured.…”

Section: Resultsmentioning

confidence: 99%

Identification and analysis of impact factors on the economic feasibility of wind energy investments

et al. 2020

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Summary The growing energy demand in the world and the concern for environmentally damaging energy sources have led to an increased interest in seeking alternative renewable energy sources, such as wind energy. Furthermore, choosing effective locations for wind power plants has become a key issue in project planning. However, prior to implementation, such projects should be confirmed as economically viable. This article is a systematic review of the literature carried out with the aim to identify the main factors that impact the economic feasibility of wind energy investments. The search was performed in the ISI Web of Science (WoS) electronic database, from which 120 papers were extracted after a selection process, and were analyzed individually. As a result of the review analysis, 23 factors that have an impact on feasibility analysis were identified and organized in five categories: location (surface roughness, turbine location), economic (investment costs, operation and maintenance costs, avoided energy cost, depreciation, land rent), political (interest rates and taxes, energy sales price, inflation, financing conditions), climatic (wind speed, air density, temperature, air pressure), and technical (turbine height, installed wind power, lifetime, efficiency, rotor diameter, operation time, number of turbine blades, construction time). These factors can directly impact the cost of capital and/or energy production, affecting the economic viability of wind farms. In the last decade, there has been an exponential growth in publications about economic feasibility of wind investments. The wind investments growth has been accompanied by financial studies about this subject. This study provides insights on the main variables used in wind energy feasibility studies. The results may assist researchers and investors to identify the key parameters that are being examined in the literature, and to evaluate which ones should be considered in their study to ensure a sustainable development of power generation through the wind source.

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Section: Resultsmentioning

confidence: 99%

Identification and analysis of impact factors on the economic feasibility of wind energy investments

et al. 2020

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“…In recent research works, therefore, MCDM methods have been used and covered various sources of renewable energy: solar, onshore wind, offshore wind, wave, and tidal. For the field of renewable energy site selection, the first systematic and latest review of MCDM applications and related criteria were performed in [29]: analytic hierarchy process (AHP) [33][34][35][36][37], technique for order preference by similarity to ideal solution (TOPSIS) [38][39][40][41][42], elimination and choice translating reality (ELECTRE) [43,44], data envelopment analysis (DEA) [45][46][47][48], and other MCDM methods [49,50]. Among these, it is found that AHP has been the most commonly used method for weighting criteria, especially for renewable energy site selection and the field of solar energy evaluation in particular.…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

et al. 2021

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At the heart of Covid-19 responses, the transition from fossil sources to green energy is an urgent issue for nations to address the crisis and secure sustainable economies. As a country in a seismically active zone that relies heavily on imported fossil fuels, Taiwan is vigorously taking the next step in renewable energy development, which is pivotal to securing its position in global supply chains. Solar energy is today the most suitable renewable energy source for Taiwan. However, land prices and policies, and challenges of scale still hinder its development. In this context, identifying optimal sites for solar photovoltaic (PV) construction is a crucial task for major energy stakeholders. In this paper, a two-stage approach, combining the data envelopment analysis (DEA) models and the analytic hierarchy process (AHP), has been done for the first time to identify the most suitable locations among 20 potential cities and counties of Taiwan for constructing solar PV farms. DEA models were applied to filter out the areas with the most potential by measuring their efficiency indices with temperature, wind speed, humidity, precipitation, and air pressure, as inputs, and sunshine hours and insolation, as outputs. The locations with perfect efficiency scores were then ranked with the AHP method. Five selected evaluation criteria (site characteristics, technical, economic, social, and environmental) and sub-criteria of each were utilized to prioritize the locations with solar energy potential. AHP was used to determine the relative weights of the criteria and sub-criteria and the final weights of the areas. For criteria weighting results, "support mechanisms," "electric power transmission cost," and "electricity consumption demand" with weights of 0.332, 0.122, and 0.086, respectively, were found as the most significant sub-criteria. The final ranking suggests Tainan, Changhua, and Kaohsiung as the top three most suitable cities for constructing solar PV energy systems.INDEX TERMS Renewable energy, Taiwan, solar photovoltaic (PV) power plant, site selection, decision making, DEA, AHP.

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“…Wind energy is capable of considerably reducing fuel costs, greenhouse gas emissions and environmental issues. Wind turbines are an optimal choice for providing public electricity in developing countries (Mostafaeipour and Abesi 2010;Qolipour et al 2016;Al-Shammari et al 2016). Using the wind turbines, the kinetic energy of the wind flow can be transformed into mechanical and subsequently electrical energy.…”

Section: Wind Turbinesmentioning

confidence: 99%

Simulation of biogas utilization effect on the economic efficiency and greenhouse gas emission: a case study in Isfahan, Iran

Ariae¹,

Jahangiri

Fakhr

et al. 2019

Int. J. Renew. Energy Dev.

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Biomass is a type of renewable energy that, in despite of its potentials and advantages including simple production technology, decreasing environmental issues, and energy generation capacity at the consumption site, has not been sufficiently utilized in Iran. Since, due to statistics, Isfahan enjoys remarkable prospects in terms of wind, solar and biomass energies, a combined system of indigenous energy sources for powering a cattle farm has been investigated and evaluated in this study. To evaluate the possibility of the optimal system for comparative reasons, the HOMER software was used. The designed hybrid system was a wind-solar-biomass generator that used a battery saver as backup. Although it seems that wind and solar energies have the highest potential for energy generation in Isfahan, the results showed that biomass, by itself, can provide the required power for a cattle farm. In fact, biomass energy was more economically efficient than wind and solar energies. Owing to the low electricity cost, generated from fossil fuels, in Iran, relative to a large number of countries, the findings revealed that using biomass for generating the electricity of a cattle farm will compensate the expenses by the mid-15th year and will generate profit for 9.5 years later. The results also showed that the solar cell-based hybrid system is cheaper than the wind turbine-based one. Regarding the price of per kWh of electricity produced, the results showed that the biomass generator system with the price 0.12 $/kWh is the cheapest, and the solar cell-based and wind turbine-based hybrid systems are 3.33% and 10.83% more expensive, respectively. The results can be used for electricity generation with minimum pollution and expenses in the same regions. ©2019. CBIORE-IJRED. All rights reserved

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Evaluation of wind power generation potential using a three hybrid approach for households in Ardebil Province, Iran

Cited by 52 publications

References 29 publications

Identification and analysis of impact factors on the economic feasibility of wind energy investments

Identification and analysis of impact factors on the economic feasibility of wind energy investments

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

Simulation of biogas utilization effect on the economic efficiency and greenhouse gas emission: a case study in Isfahan, Iran

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