Arbejde Postdoc in RES generation variability and uncertainty Hovedstaden Danmarks Tekniske Universitet - jobtilbud

GÆLDER
stillingsbetegnelse:
Postdoc in RES generation variability and uncertainty

jobbeskrivelse:
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a Postdoc for the Wind Energy Systems Section (VES). You will be part of the international team carrying out research in wind power integration and planning, where the working language is English. Our research is function oriented in the sense that we direct the research towards issues that are relevant for industrial development and applications, and we work in projects with system integration, control concepts for wind turbines, wind power plants, electrical components, grid connection and large-scale wind energy penetration. Please look at http://www.vindenergi.dtu.dk for more details on the type of activities we undertake. Responsibilities and tasks As a pioneer and frontrunner in wind power development, the Danish example with almost 40% of the electricity consumption generated by wind power in 2014 shows that it is possible to operate power systems with very high shares of variable renewable generation. The plans for future massive offshore wind power development in Denmark and neighbouring countries around the North Sea will further affect the variability and uncertainty of renewable energy sources (RES) generation in the. This mainly includes wind and solar PV. VES has developed CorWind, which is a unique tool for simulation of wind power time series used in power system planning studies, taking into account spatial and temporal correlations, ensuring realistic representation of the smoothening effects due to the spatial distribution of wind power generators. The Postdoc will contribute to the analysis and modelling of the variability and the predictability of renewable generation. The work will include modelling of realized and forecasted time series for wind and solar PV. The aim is to contribute at the development of a tool able to simulate RES generation and forecast time series, in a consistent and correlated way. The candidate is expected to be integrated in a group of people working on the subject and contribute to national and international research projects, such as the Danish part of the North Sea Offshore and Storage Network (NSON) project framework, which has emerged from the European Energy Research Alliance (EERA) as a pioneer project framework joining nationally funded research according to the European Commission’s Berlin model. Qualifications Candidates should have a PhD degree or equivalent. The successful candidate is required to have: •PhD degree (or equivalent) in Applied Mathematics, or alternatively in Physics and/or Engineering •Documented background in statistical modelling including stochastic time series analysis •Documented background in statistical modeling in the frequency domain using power spectral densities and coherence functions •Experience with modelling and simulation of large scale RES (wind and solar PV) generation •Proven programming skills for analytical and modeling purposes, e.g. Matlab, R and databases •Ability to work in a project team and take responsibility for own research goals •Ability to communicate, read and write in English Assessment In the assessment of the candidates consideration will be given to: •Scientific production and research potential at international level •Ability to work within inter-disciplinary subjects and interact with end users such as Transmission System Operators •Innovative skills and the ability to generate new ideas •Ability to communicate at all levels such as the provision of scientific advice to public sector authorities •An all-round experience basis, preferably including international experience The ability to contribute to development of the department’s internal and external cooperation We offer We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfar

Arbejdsgiver Navn: Danmarks Tekniske Universitet

Arbejdsgiver telefonnummer: 45252525

Arbejdsgiver faxnummer: 45881799

Job kort beskrivelse:
Undervisning og forskning på universiteter og højere læreranstalter

land: Danmark

region: Hovedstaden

krævede uddannelse: Ikke angivet

Kilde til jobtilbud: AMS, Offentlige arbejdsformidlinger, Danmark

GÆLDER

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