Spatial assessment of wind power potential at global scale. A geographical approach. (1st November 2018)
- Record Type:
- Journal Article
- Title:
- Spatial assessment of wind power potential at global scale. A geographical approach. (1st November 2018)
- Main Title:
- Spatial assessment of wind power potential at global scale. A geographical approach
- Authors:
- Bandoc, Georgeta
Prăvălie, Remus
Patriche, Cristian
Degeratu, Mircea - Abstract:
- Abstract: Wind power is a renewable source of great value for the sustainable development of society in the context of global environmental changes. This power source features many advantages such as accessibility, inexhaustibility and sustainability, and its harvest and conversion have experienced a rapid growth in both developed and developing countries. The present study aims to geographically analyze the distribution and intensity of onshore wind resources (assessed using the wind power density parameter) globally, continentally and nationally. Using the most recent and detailed global spatial data on wind power density, which were classified after NREL (National Renewable Energy Laboratory) in seven potential classes, our results showed that, globally, there are five major hotspots of abundant wind resources, delimited based on the large-scale presence of the most favourable potential classes, i.e. Excellent (500–600 W/m 2 ), Outstanding (600–800 W/m 2 ) and Superb (>800 W/m 2 ), also called in our paper EOS classes. These hotspots consist of the central-northern region of North America, southern South America, northern/north-western Europe, northern Asia and the central-south-eastern region of the Asian continent. These regions bring together most of the entire global area of EOS classes, which totals ∼4 mil km 2 or ∼3% of the world's land area. Continentally, the most extensive EOS areas are found in Asia (∼1.5 mil km 2, 3.5% of the continent), followed by North andAbstract: Wind power is a renewable source of great value for the sustainable development of society in the context of global environmental changes. This power source features many advantages such as accessibility, inexhaustibility and sustainability, and its harvest and conversion have experienced a rapid growth in both developed and developing countries. The present study aims to geographically analyze the distribution and intensity of onshore wind resources (assessed using the wind power density parameter) globally, continentally and nationally. Using the most recent and detailed global spatial data on wind power density, which were classified after NREL (National Renewable Energy Laboratory) in seven potential classes, our results showed that, globally, there are five major hotspots of abundant wind resources, delimited based on the large-scale presence of the most favourable potential classes, i.e. Excellent (500–600 W/m 2 ), Outstanding (600–800 W/m 2 ) and Superb (>800 W/m 2 ), also called in our paper EOS classes. These hotspots consist of the central-northern region of North America, southern South America, northern/north-western Europe, northern Asia and the central-south-eastern region of the Asian continent. These regions bring together most of the entire global area of EOS classes, which totals ∼4 mil km 2 or ∼3% of the world's land area. Continentally, the most extensive EOS areas are found in Asia (∼1.5 mil km 2, 3.5% of the continent), followed by North and Central America (∼1 mil km 2, 4.3%), South America (∼0.7 mil km 2, 4.1%), Europe (∼0.5 mil km 2, 5%), Africa (∼0.1 mil km 2, 0.4%), and Australia and Oceania (∼0.1 mil km 2, 1.3%). Nationally, it was found there are 8 epicentre-countries for wind potential (with absolute EOS areas that range between 0.1 and almost 1 mil km 2 across the countries), namely China (∼0.9 mil km 2, 10% of the country), followed by Canada (∼0.6 mil km 2, 6%), the United States (∼0.5 mil km 2, 5%), Argentina (∼0.4 mil km 2, 14%), Russia (∼0.4 mil km 2 in total, in Europe and Asia, 2%), Chile (0.2 mil km 2, 28%), Norway (∼0.1 mil km 2, 30%) and Afghanistan (∼0.1 mil km 2, 16%). Results show these countries are the most suitable for large-scale wind power installations in the world. Also, our findings not only provide an overall image of wind resources availability worldwide, but they can also be a useful tool for the transition towards a carbon-free global economy, by helping world governments better understand – and subsequently use – their wind resources at regional or local levels. Highlights: Spatial analysis of the distribution and intensity of onshore wind resources globally, continentally and nationally. According to the most recent wind power density data, globally there are five major hotspots of abundant wind resources. Continentally, the most extensive wind resources are found in Asia, North and Central America, South America and Europe. Nationally, of the total 193 UN member states, there are only 8 epicentre-countries for abundant wind resources. These countries are China, Canada, the United States, Argentina, Russia, Chile, Norway and Afghanistan. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 200(2018)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 200(2018)
- Issue Display:
- Volume 200, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 200
- Issue:
- 2018
- Issue Sort Value:
- 2018-0200-2018-0000
- Page Start:
- 1065
- Page End:
- 1086
- Publication Date:
- 2018-11-01
- Subjects:
- Wind resources -- Wind power density -- Potential -- Installed wind capacity -- Global analysis
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2018.07.288 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20888.xml