Energy from wind – perspectives and research needs

Wagner, Hermann‐Josef; Epe, Alexa

doi:10.1140/epjst/e2009-01151-2

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…Considering the basic situation of load determination, the grid is divided into several areas according to the section. Based on above constraints, the Monte Carlo algorithm can obtain the optimum solution on wind power output, the conventional unit output and the conventional unit startstop status in the AC/DC power system when thermal power has the minimum power-on mode [3][4]. Is it greater than the previous result Is it greater than the previous result…”

Section: Calculation Methodsmentioning

confidence: 99%

Calculation and Analysis of Wind Power Consumption Capability of AC/DC Hybrid Grid

Hao¹,

Duan²,

Liu³

et al. 2018

Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018)

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The installed capacity of wind power in the "Three North" region is increasing day by day. Annual heating season is affected by peak shaving, and large-scale wind abandonment will occur in the "Three North" area. With the operation of UHV DCs in various regional power grids in China, the operation mode based on AC/DC hybrid power grids has gradually formed, providing a new delivery channel for new energy consumption in the "Three North" region. Based on the characteristics of thermal power, hydropower and wind power, this paper considers the various constraints in process of power transmission, builds a calculation and analysis model of wind power consumption capacity, and verified by the simulation.

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Section: Calculation Methodsmentioning

confidence: 99%

Calculation and Analysis of Wind Power Consumption Capability of AC/DC Hybrid Grid

Hao¹,

Duan²,

Liu³

et al. 2018

Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018)

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“…In many studies, the average converter lifespan is assumed to be 20 years (see for example [13,14,53]). In the Weibull distribution, the characteristic lifespan T, which is the inverse of the scale parameter λ, represents the time span after which 63.2% of the products have been discarded.…”

Section: Application Of the Weibull Function For Modeling Materials Dementioning

confidence: 99%

Material Flows Resulting from Large Scale Deployment of Wind Energy in Germany

2013

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The ambitious targets for renewable energies in Germany indicate that the steady growth of installed capacity of the past years will continue for the coming decades. This development is connected with significant material flows-primary material demand as well as secondary material flows. These flows have been analyzed for Germany up to the year 2050 using a statistical model for the turbines' discard patterns. The analysis encompasses the flows of bulk metals, plastics, and rare earths (required for permanent magnets in gearless converters). Different expansion scenarios for wind energy are considered as well as different turbine technologies, future development of hub height and rotor diameter, and an enhanced deployment of converters located offshore. In addition to the direct material use, the total material requirement has been calculated using the material input per service unit (MIPS) concept. The analysis shows that the demand for iron, steel, and aluminum will not exceed around 6% of the current domestic consumption. The situation for rare earths appears to be different with a maximum annual neodymium demand for wind energy converters corresponding to about a quarter of the overall 2010 consumption. It has been shown that by efficiently utilizing secondary material flows a net material demand reduction of up to two thirds by 2050 seems possible, (i.e., if secondary material flows are fully used to substitute primary material demand).

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“…The capacity of energy production is already fifty-nine thousand megawatts and growing enough each year. According to the consolidated data in March 2010 by GWEC (GWEC, 2010) Continental territory. About 37% of installed capacity is located in parks with a capacity equal to or less than 25 MW.…”

Section: Prospects For the Global Wind Energymentioning

confidence: 99%

“…To implement this vision, an average of 10 to 15 GW of additional capacity will be manufactured, delivered and deployed in Europe each year. This is equivalent to more than 20 turbines of 3 MW to be installed on each day (GWEC, 2010;TPWind, 2010b).…”

Section: Of European Leadership As Demonstrated By Recent Developmenmentioning

confidence: 99%

Innovation and Technology Management in Wind Energy Cluster

Oliveira¹,

Fernandes²

2011

EER

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Innovation and technology management in wind energy industry is driven by policies and incentives due to their inherent characteristics such as high upfront costs, lack of level playing field but distinct advantages from energy security, environmental and social considerations. This paper makes an analysis of innovation and technology management in wind power industry, focusing on value chain and the interaction of technology and markets for contributing to recommendations on technology policy and management. This paper proposes a framework for analyzing the initial stage of diffusion of wind power systems, combining the use of various approaches, considering wind power system as a complex technology. The approach to the business system is used as an analytical framework, focusing on efficiency, effectiveness and criteria for development.

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Energy from wind – perspectives and research needs

Cited by 7 publications

References 1 publication

Calculation and Analysis of Wind Power Consumption Capability of AC/DC Hybrid Grid

Calculation and Analysis of Wind Power Consumption Capability of AC/DC Hybrid Grid

Material Flows Resulting from Large Scale Deployment of Wind Energy in Germany

Innovation and Technology Management in Wind Energy Cluster

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