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Karen Byskov Lindberg

Senior Research Scientist

Karen Byskov Lindberg

Senior Research Scientist

Karen Byskov Lindberg
Phone: 996 04 272
Department: Architectural Engineering
Office: Oslo

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1759199

The operation of electric and heat grids alike is complicated due to the dynamic demand, with the increasing penetration of renewable energy sources adding to the problem. In order to improve the integration of variable renewable energy sources, the flexibility of the system needs to be improved. Th...

Authors Dominkovic Dominik Franjo Junker Rune Grønborg Lindberg Karen Byskov Madsen Henrik
Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1757373

Technological progress and the ambition to de-carbonise the energy sector are changing the way electricity is generated and used. In the residential sector, more efficient electric devices, electrification of mobility and heating systems, as well as on-site PV and battery systems are the main techno...

Authors Fischer David Surmann Arne Lindberg Karen Byskov
Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1774432

Zero Emission Neighborhoods (ZEN) is a concept studied in particular in the research center on ZEN in smart cities in Norway to reduce the CO2 emissions of neighborhoods. One question coming along this concept is how to design the energy system of such neighborhoods to fit the ZEN definition[1]. Fro...

Authors Pinel Dimitri Korpås Magnus Lindberg Karen Byskov
Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1744057

A set of grey box models for a passive single family house is evaluated to understand the influence of inputs (solar radiation, internal gains and ventilation) knowledge. The models are evaluated with both a log likelihood ratio test and evaluation of the long-term prediction RMSE. It is shown that ...

Year 2019
Type Part of a book/report