The future electric power system: Impact of Power-to-Gas by interacting with other renewable energy components

Abstract The storage of fluctuating energy production is a major challenge on the pathway to a fully renewable electricity supply. This paper investigates the impact of the storage technology Power-to-Gas (PtG) in the implementation of the Energiewende. A detailed cost optimisation model based on data from an existing system in an actual German region describes the optimal composition and application of energy supply technologies. The electricity demand of the region can be covered with 100% renewable energy (RE) at a levelised cost of electricity (LCOE) of 11 ct/kW hel. A 100% RE supply is possible with or without PtG. However, long-term energy storage system such as PtG reduce the LCOE of the energy system significantly. We conclude that the capital expenditures (CAPEX) of PtG must at least reach values below 2500 €/kWel to compete with short-term solutions such as Li-ion batteries. Beside PtG this investigation identifies several system components with extensive impact on LCOE and demand of long-term energy storage, such as Power to Heat (PtH), wind turbine technology and hydropower. The combination of such influences increases the impact of each of them on the LCOE. Several energy system components can positively influence the implementation of the Energiewende, PtG is one of them.

[1]  Bjarne Steffen,et al.  Prospects for Pumped‐Hydro Storage in Germany , 2012 .

[2]  Richard Müller,et al.  Digging the METEOSAT Treasure - 3 Decades of Solar Surface Radiation , 2015, Remote. Sens..

[3]  Frank Sehnke,et al.  Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE , 2015 .

[4]  Amany von Oehsen,et al.  Langfristszenarien und Strategien für den Ausbau der erneuerbaren Energien in Deutschland bei Berücksichtigung der Entwicklung in Europa und global , 2012 .

[5]  Nigel P. Brandon,et al.  Hydrogen and fuel cells: Towards a sustainable energy future , 2008 .

[6]  Florian Steinke,et al.  Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where? , 2012 .

[7]  A. Friedl,et al.  Renewable hydrogen production: a technical evaluation based on process simulation , 2010 .

[8]  Michael Sterner,et al.  Speicherung von Bioenergie und erneuerbarem Strom im Erdgasnetz , 2009 .

[9]  Martin Greiner,et al.  Reduced storage and balancing needs in a fully renewable European power system with excess wind and solar power generation , 2011 .

[10]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[11]  Janine Schmidt,et al.  Erneuerbare Energien 2020 , 2010 .

[12]  Gerda Gahleitner Hydrogen from renewable electricity: An international review of power-to-gas pilot plants for stationary applications , 2013 .

[13]  Frank Sehnke,et al.  Parameter-exploring policy gradients , 2010, Neural Networks.

[14]  J. Ivy,et al.  Summary of Electrolytic Hydrogen Production: Milestone Completion Report , 2004 .

[15]  Christian Breyer,et al.  Transforming the electricity generation of the Berlin–Brandenburg region, Germany , 2014 .

[16]  Thomas Huld,et al.  Mapping the Performance of PV Modules of Different Types , 2009 .

[17]  K. Tar Some statistical characteristics of monthly average wind speed at various heights , 2008 .

[18]  A. Moser,et al.  Economic potential of power-to-gas energy storages , 2013, 2013 10th International Conference on the European Energy Market (EEM).

[19]  Anton Friedl,et al.  EVALUATION OF SUSTAINABLE HYDROGEN PRODUCTION PATHWAYS , 2009 .

[20]  Ibrahim Dincer,et al.  Integrated hydrogen production options based on renewable and nuclear energy sources , 2012 .

[21]  Rolf Witzmann,et al.  Abschätzung des Photovoltaik-Potentials auf Dachflächen in Deutschland , 2010 .

[22]  T. Hamacher,et al.  On the CO2 emissions of the global electricity supply sector and the influence of renewable power-modeling and optimization , 2012 .

[23]  H. Beyer,et al.  Mapping the performance of PV modules, effects of module type and data averaging , 2010 .

[24]  Quirin Schiermeier,et al.  Renewable power: Germany’s energy gamble , 2013, Nature.