Sensitivity analysis of criteria to optimize wind farm localizing: A case study

Rezaei, Mostafa; Mostafaeipour, Ali; Saidi‐Mehrabad, Mohammad; Qolipour, Mojtaba; Sedaghat, Ahmad; Arabnia, Hamid R.; Momeni, Mozhgan

doi:10.1177/0309524x19849848

Cited by 10 publications

(9 citation statements)

References 36 publications

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“…Considering unpredictable and intermittent nature of wind, Weibull distribution function has been introduced as one of the best and most practical methods for projecting the amount of wind energy available in an area (Rezaei et al, 2019a). Necessary data needed for estimating wind energy via this method are temperature, air pressure and wind speed which JEDT 18,6 were acquired from the Renewable Energy Organization of Iran (Satba, 2018).…”

Section: Wind Energymentioning

confidence: 99%

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Wind and solar energy utilization for seawater desalination and hydrogen production in the coastal areas of southern Iran

Rezaei

Mostafaeipour

Jafari

et al. 2020

JEDT

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Purpose Acute shortage of potable water and energy supplies is expected to raise in developing countries in the near future. One solid way to address these issues is to exploit renewable energy resources efficiently. Hence, this study aims to investigate wind and solar energy use in the coastal areas of southern Iran for renewable-powered seawater desalination and hydrogen production systems. Design/methodology/approach To accomplish the aforementioned purpose, five areas most prone to the problems in Iran, namely, Mahshahr, Jask and Chabahar ports and Kish and Hormoz islands were scrutinized. To ascertain the amount of wind and solar energy available in the areas, Weibull distribution function, Angstrom–Prescott equation and HOMER software were used. Findings The findings indicated that wind energy density in Kish was 2,014.86 (kWh/m2.yr) and solar energy density in Jask equaled to 2,255.7 (kWh/m2.yr) which possessed the best conditions among the areas under study. Moreover, three commercial wind turbines and three photovoltaic systems were examined for supplying energy needed by the water desalination and hydrogen production systems. The results showed that application of wind turbines with rated power of 660, 750 and 900 kWh in Kish could result in desalting 934,145, 1,263,339 and 2,000,450 (m3/yr) of seawater or producing 14,719, 20,896 and 31,521 (kg/yr) of hydrogen, respectively. Additionally, use of photovoltaic systems with efficiency of %14.4, %17.01 and %21.16 in Jask could desalinate 287, 444 and 464 (m3/yr) of seawater or generate 4.5, 7 and 7.3 (kg/yr) of hydrogen, respectively. Originality/value Compared to the huge extent of water shortage and environmental pollution, there has not been conducted enough studies to obtain broader view regarding use of renewable energies to solve these issues in Iran. Therefore, this study tries to close this gap and to give other developing nations the idea of water desalination and hydrogen production via renewable energies.

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Section: Wind Energymentioning

confidence: 99%

“…Considering general relationship of wind power, shown in equation ( 5), r (ambient air density) is required which can be calculated by equation ( 6) (Rezaei et al, 2019a):…”

Section: Wind and Solar Energy Utilizationmentioning

confidence: 99%

Wind and solar energy utilization for seawater desalination and hydrogen production in the coastal areas of southern Iran

Rezaei

Mostafaeipour

Jafari

et al. 2020

JEDT

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“…Global warming, climate change, ozone layer depletion, and environmental pollution as severe consequences of using fossil fuels have been conspicuous signs of neglecting clean energy carriers and pollution-free means of generating energy, mostly in non-developed countries (Rezaei et al, 2019b). To tackle these issues, all nations should embark on utilizing renewable and ecological methods of producing energy.…”

Section: Introductionmentioning

confidence: 99%

Economic assessment of hydrogen production from sea water using wind energy: A case study

2020

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This study seeks to scrutinize the economic aspects of establishing the proposed system for producing electricity and hydrogen in the nominated city. For this, levelized cost of wind-generated electricity, levelized cost of seawater desalinated using wind energy, levelized cost of wind-powered hydrogen, payback period of investing on electricity, and hydrogen production are predicted. The results indicated that levelized cost of wind-generated electricity would vary from 0.0208 to 0.053 US$/kWh under different cases and scenarios. This range regarding levelized cost of seawater desalinated using wind energy was between 0.0147 and 0.0404 US$/m3 and also the amount of levelized cost of wind-powered hydrogen was guessed to be from 7.0074 to 10.5667 US$/kg. All values of payback period calculated as to wind electricity were less than half of the project lifetime. In addition, payback period of generating hydrogen was arguable only for the turbine with a rated power of 900 kW.

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“…22,23 There have been numerous research works related to wind energy in Iran. Rezaei et al 24 conducted a sensitivity analysis of localizing wind energy in middle parts of Iran. Socioeconomic feasibility of wind power stations to generate hydrogen in Iran was evaluated by Rezaei et al 25 To scrutinize electricity production in a wind farm, a mathematical model was proposed by Qolipour et al 26 Rezaei-Shouroki et al 27 examined and prioritized different cities of Fars province for the purpose of hydrogen production by wind energy.…”

Section: Introductionmentioning

confidence: 99%

Feasibility analysis of a new tree-shaped wind turbine for urban application: A case study

Mostafaeipour

Rezaei

Jahangiri

et al. 2019

Energy & Environment

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In this study, feasibility of a new wind power generation system for urban application in Hormozgan Province of Iran is investigated. The wind turbine system in this study is a novel, aesthetically pleasing, noiseless, pollution-free, potentially cost-effective, and high efficiency design called tree-shaped wind turbine (TSWT). Techno-economic evaluation is performed on eight urban areas in the province using the software HOMER. Multi-criteria decision making approaches are used to prioritize the areas in terms of the best location for installing such a new system. The results of techno-economic analysis examining a wind power system consisting of 25 TSWTs show that the most electricity production would occur for Jask city which is 529,450 kWh/yr. Also, the least amount of electricity which is 339,275 kWh/yr belongs to Bandar Abbas. Considering the most important criteria including electricity production, levelized cost of electricity, population, land price, environmental impact, and frequency of natural disasters, data envelopment analysis, and the fuzzy technique for order of preference by similarity to ideal solution are employed to rank the cities. The results are validated by two different methods. Finally, it is suggested that Sirik is the best location for using the aforementioned wind turbine.

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Sensitivity analysis of criteria to optimize wind farm localizing: A case study

Cited by 10 publications

References 36 publications

Wind and solar energy utilization for seawater desalination and hydrogen production in the coastal areas of southern Iran

Wind and solar energy utilization for seawater desalination and hydrogen production in the coastal areas of southern Iran

Economic assessment of hydrogen production from sea water using wind energy: A case study

Feasibility analysis of a new tree-shaped wind turbine for urban application: A case study

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