PowerPoint-PräsentationPower-to-X
• EUTEC focuses on applied research in energy and environmental process
technology
• Fields of activity:
Energy efficiency
• Environmental analysis
Energy and environmental impact
Source: Huijbregts, M.A.J. et al. Env. Sci. Technol., 44 (2010), 2189
Energy demand for
production of goods
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Consequences for usage paths
In 26% of a year (approx. 2,300 hours per year) excess wind power is
available
Strong fluctuations, both on seasonal monthly and daily level
Challenges for Power-to-X concepts due to
Low plant utilization
High process dynamics due to load changes in wind-powered
operation
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Example: Biogas
1 M. Trommler, M. Dotzauer, T. Barchmann, S. Matthischke, A. Brosowski, A. Keil, U. Gerigk, C. Lange, K. Kretschmer (DBFZ Deutsches Biomasseforschungszentrum und Energy2market GmbH), RegioBalance – Bioenergie-Flexibilisierung als regionale Ausgleichsoption in deutschen Stromverteilernetzen: Endbericht FKZ 03KB087A und 03KB087B, 2016.
Feeding
management
Power-to-Power
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Quelle: Sterner. et al. Power-to-Gas für eine Nutzung im Strom-, Wärme- und Verkehrssektor, 2013
Power-to-Heat / Power-to-Mobility
Low investment costs
Depends on the use of electromobility
Possible user acceptance problems
Key step: Electrolysis: 2 H20 2 H2 + O2
Hydrogen as a starting point for further applications
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H2
Renewable energy sources capable of generating base-loads (e. g. biogas
plants) complement wind and solar energy.
Biogas plants can do this through:
Storage of biogas and combustion according to demand
Change in feeding
Adjustment of the feeding requires monitoring of the process biology.
Project objective: Development of a sensor based on Raman
spectroscopy to monitor the process biology in case of change of feeding.
Partners: University of Düsseldorf, bwe-Energie
Funding: BMWi, Central Initiative for SME (ZIM)
Duration: 2015-2017
Continuation of Biomasstec-Raman.
Use of the sensor data and feeding model to adjust plant operation to
cover the residual load.
Determination of a energy demand trajectory and calculation of the
process operation (e.g. feeding, temperatures) for a biogas plant
Implementation of the process control strategy in automation including
sensor technology
plant
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Power2Flex
Making the power grid more flexible by using storage technologies on
different scales.
Identification of new business models for SME in the area of energy
flexibility.
Development of novel solutions for and with SME in NL and D:
for households and small buildings
for mobility
for small industrial plants
18 partners from NL and D, including research institutes, universities and
small and medium-sized enterprises
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This includes:
• waste heat
100 % 62 % 47 %
Development, validation and demonstration of a robust and fast PEM
electrolyzer for grid stabilization
7 partners from 5 European countries, budget: 2.65 Mio€, funding in
Horizon2020, www.hpem2gas.eu,2015 - 2019
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Hydrogen 2 Joint Undertaking
under grant agreement No
700008. This Joint Undertaking
receives support from the
research and innovation
programme and Hydrogen
Europe and N.ERGHY .
Catalyst volume: 130 mL
CO2, CH4-Anlaytics: IR (online)
270 290 310 330 350 370 390 410 430 450
M o
le n
b ru
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Dynamic modeling of the Power-to-Gas plant with Aspen Hysys
Process control and operation integrated into the model
Process operation according to excess wind power availability
Realistic process dynamics
Manufacturer specifications
DVGW
Summary
Fluctuating energy supply from wind and solar power leads to an increase
in flexibility requirements of the energy system.
A combination of different technologies is used due to various technical,
economic and ecological parameters.
Energy supply, distribution and utilization has to be taken into account.
Reliable dynamic process models are required for the planning and
operation of flexible plants.
An (experimental) validation of the models in the context of a field test is
required.
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http://eutec.hs-emden-leer.de
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