Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Lueder Von Bremen"'
Publikováno v:
Meteorologische Zeitschrift, Vol 31, Iss 1, Pp 13-29 (2022)
In recent years, the potential of remote sensing-based minute-scale forecasts to improve the integration of wind power into our energy system has been shown. In lidar-based forecasts, the wind speed is extrapolated from the measuring to the forecast
Externí odkaz:
https://doaj.org/article/e067da02a8574891baa4752c93927d47
Publikováno v:
Environmental Research Letters, Vol 18, Iss 9, p 094007 (2023)
Energy system modeling and analysis can provide comprehensive guidelines to integrate renewable energy sources into the energy system. Modeling renewable energy potential, such as wind energy, typically involves the use of wind speed time series in t
Externí odkaz:
https://doaj.org/article/ff537877d9234f23a82b724cf9e05afa
Autor:
Anna Rieke Mehrens, Lueder von Bremen
Publikováno v:
Meteorologische Zeitschrift, Vol 26, Iss 3, Pp 333-342 (2017)
Mesoscale wind speed fluctuations influence the characteristics of offshore wind energy. These recurring wind speed changes on time scales between tens of minutes and six hours lead to power output fluctuations. In order to investigate the meteorolog
Externí odkaz:
https://doaj.org/article/7c85f12499364b3381a8596d9d1b6722
Publikováno v:
Energy Reports, Vol 2, Iss C, Pp 221-228 (2016)
In a highly renewable future pan-European power system, wave power might complement the renewable generation mix in a beneficial way. The potential of wave energy is estimated to be highest at Western European coastlines. Thus, the Iberian Peninsula
Externí odkaz:
https://doaj.org/article/f968b03cf9cf4d83857a073408b28a84
Publikováno v:
Meteorologische Zeitschrift, Vol 24, Iss 4, Pp 361-379 (2015)
Unlike deterministic forecasts, probabilistic predictions provide estimates of uncertainty, which is an additional value for decision-making. Previous studies have proposed the analog ensemble (AnEn), which is a technique to generate uncertainty info
Externí odkaz:
https://doaj.org/article/30ef89c3262546538765d3db32355578
Publikováno v:
Meteorologische Zeitschrift, Vol 24, Iss 4, Pp 381-392 (2015)
With increasing wind power capacity, accurate uncertainty forecasts get more and more important for grid integration. The uncertainty of forecasts can be quantified by ensemble forecasts. We use ensemble forecasts from the COSMO-DE EPS to generate sh
Externí odkaz:
https://doaj.org/article/82151064248f46318f16280a0a137831
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1701 (2018)
Very short-term forecasts of wind power provide electricity market participants with extremely valuable information, especially in power systems with high penetration of wind energy. In very short-term horizons, statistical methods based on historica
Externí odkaz:
https://doaj.org/article/ade4c1e3dd4e4aeabe7a32f3466df250
Publikováno v:
Energies, Vol 9, Iss 11, p 955 (2016)
Shares of renewables continue to grow in the European power system. A fully renewable European power system will primarily depend on the renewable power sources of wind and photovoltaics (PV), which are not dispatchable but intermittent and therefore
Externí odkaz:
https://doaj.org/article/d8db52f2a7b147789d23e842ef54149e
Publikováno v:
Energies, Vol 9, Iss 7, p 510 (2016)
The capacity factor of a power plant is the ratio of generation over its potential generation. It is an important measure to describe wind and solar resources. However, the fluctuating nature of renewable power generation makes it difficult to integr
Externí odkaz:
https://doaj.org/article/4e449fc723294e069f9fa94a08c5b5f1
Publikováno v:
Joule. 5:2606-2624
Summary Optimization models are a widely used tool in academia. In order to build these models, various parameters need to be specified, and often, simplifications are necessary to ensure the tractability of the models; both of which introduce uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58fb76e3629de16bf7ec1a38a1a22594
https://doi.org/10.1016/j.joule.2021.07.017
https://doi.org/10.1016/j.joule.2021.07.017