Category: Renewable energy

New Quantum Computing Activities in Kaiserslautern

In cooperation with IBM Germany, the Fraunhofer-Gesellschaft is establishing a national competence network in the research field of quantum computing. With the participation of currently eleven Fraunhofer Institutes, specialist expertise is being pooled in regional competence centers. On our Institute the Center for Quantum HPC has been established. The focus of the Competence Center Quantum Computing Rhineland-Palatinate is on quantum High Performance Computing.

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PhD in Barcelona

The Industrial Mathematics Research Group at the Centre de Recerca Matemàtica in Barcelona is seeking candidates to for a PhD on “Environmental applications of diffusion with a moving boundary” as part of the Maria de Maeztu Centres of Excellence funding. The project will focus on the removal of environmental contaminants […]

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Developing an artificial intelligence algorithm to reduce the operating costs of offshore wind turbine structures

The Iberdrola Foundation has awarded one of the Grants for Research in Energy and the Environment to Vincenzo Nava, a researcher at the Basque Center for Applied Mathematics – BCAM and Tecnalia. His project, which focuses on the development of an artificial intelligence algorithm to reduce the operating costs of […]

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Efficient numerical quadrature for the boundary elements method with application to electrical machines

Nowadays, the design with regard to efficiency and reliability is a major task in the development of electrical machines. Therefore, numerical simulations play an increasingly important role. Due to many favorable properties, the finite element method (FEM) is well established for simulating low-frequency electrical engineering applications, e.g. with nonlinear material […]

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GivEn -Shape Optimization for Gas Turbines in Volatile Energy Networks: New Overview Paper

The project GivEn: Shape Optimization for Gas Turbines in Volatile Energy Networks, financed by the BMBF (09/2017-12/2020) has recently published an overview paper with contributions from 22 authors! This exemplifies the need of interdisciplinary cooperations when appropriately solving real world industrial challenges. This paper describes the project GivEn that develops […]

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The Experts Method for the prediction of big data streams of energy flow

We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially censored data. It has been applied to the data provided by the H2020 Big Data Horizon Prize 2017 (http://ec.europa.eu/research/horizonprize/index.cfm?prize=bigdata). The data subject to the forecast […]

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CFD modelling for Wind Energy development at LUT Computational Engineering

In Finland, wind energy is one potential renewable energy sources, but has not been widely exploited. Today, the interest for inland wind-farm locations is raising in Finland with several ongoing investment studies. However, inland locations mean complex terrains with hills, forests and lakes, all strongly influencing local weather and wind […]

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