Konstantin Klein Klein Quantifying the grid support of building energy systems.

Quantifying the grid support of building energy systems.

von Konstantin Klein

Evaluation of grid-supportive concepts for space heating and cooling in non-residential buildings.

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Beschreibung

This Dissertation evaluates the suitability of building energy systems in non-residential buildings to provide load flexibility by adapting their load and generation trajectories according to the market need. It is explored how the "grid support" of buildings can be quantified, how grid-supportive present-day building energy systems are operated, how grid support can be improved, and how this affects energy efficiency.
As an effort to reduce carbon emissions, Germany plans to significantly increase the use of wind and PV electricity. Since wind and PV plants cannot be dispatched deliberately like conventional power plants, increased flexibility on the demand side is needed to efficiently utilize the intermittent renewable generation.
This Dissertation evaluates the suitability of building energy systems in non-residential buildings to provide load flexibility by adapting their load and generation trajectories according to the market need. It is explored how the "grid support" of buildings can be quantified, how grid-supportive present-day building energy systems are operated, and which approaches are most suitable to improve the grid support of buildings. To this end, four different flexibility and storage options (batteries, fuel switch, water tanks, and the thermal building mass) are compared in terms of improvement in grid support and impact on energy efficiency.

Autor*in

Konstantin Klein

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Fraunhofer ISE heat transfer processes electrical engineering alternative & renewable energy sources & technology Gebäudeenergie demand response Lastflexibilisierung Energiespeicherung erneuerbare Energie Wissenschaftler in der Gebäudeenergietechnik und Energiesystemtechnik Wissenschaftler in der Gebäudeenergietechnik und Energiesystemtechnik

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Details

ISBN: 9783839612309
Verlag: Fraunhofer Verlag
Erscheinung: 27.11.2017

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