Evaluation of the reduction in greenhouse gas emissions attributable to wind energy: A retrospective evaluation of Indian Offshore and Coastal Site

Chaurasiya, Prem Kumar; Patidar, Harsh; Shende, Vikas; Rajak, Upendra; Verma, Tikendra Nath; Dwivedi, Gaurav

doi:10.1016/j.oceaneng.2023.114665

Cited by 1 publication

(3 citation statements)

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“…This article strengthens the drive towards sustainable energy sources and reducing greenhouse gas emissions. Using wind turbines with varying hub heights (80 m to 120 m), rated power (2 MW to 3 MW), and a 20-year lifespan could significantly decrease greenhouse gas emissions compared to traditional coal plants [1,87].…”

Section: Discussionmentioning

confidence: 99%

“…The world is shifting towards sustainable energy sources, and wind energy significantly contributes to reducing greenhouse gas emissions and combating climate change [1]. This is indicated in research by Chaurasiya and Kuo, emphasising the importance of reducing greenhouse gas emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Some communities welcome wind energy as a chance for economic growth [19,20] and decreasing greenhouse gas emissions [21]. A 2 MW wind turbine with a hub height from 80 m to 120 m and a 20-year lifespan will reduce greenhouse gas emissions from 3.1 × 10 6 kg CO 2 to 3.57 × 10 6 kg CO 2 , respectively, compared with traditional fossil fuel [1]. Meanwhile, others analysed visual beauty [22,23] and potential effects on property values [24,25].…”

Section: Introductionmentioning

confidence: 99%

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The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

Amsharuk,

Łaska

2023

Energies

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This article presents an approach to locating wind farms based on open-source data, GIS software (QGiS v.3.32 Lima), and multicriteria decision-making methods such as AHP, TOPSIS and Borda. The article aims to check the availability of the most suitable sites for wind farms in Podlaskie Voivodeship, Poland. After the site-selection process, 704 plots were selected after three stages of exclusion (technical–natural, social, and economic). These plots cover a total area of 32.50 km2, about 0.16% of the region’s area. The results show that Podlaskie Voivodeship has the most considerable clustering of suitable sites for wind farm construction in three districts, with a total area of 21.53 km2. The first district is in the southwestern part of the region, with an area of 14.84 km2; the second district is in the southeastern part of the region, with an area of 5.59 km2; and the third district is in the northern part of the region, with an area of 1.1 km2. A selected area of 32.50 km2 for wind farms and single turbines could increase the power capacity by 62% with 131.5 MW. The GIS and multicriteria decision analysis (MCDA) methodology is repeatable and can be used for further research in other voivodeships in Poland and other countries. International and Polish investors and renewable energy sources (RESs) developers can use the research results to select new locations for investments that fit their strategy in the local market.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%