Early power to gas applications: Reducing wind farm forecast errors and providing secondary control reserve

Grueger, Fabian; Möhrke, Fabian; Robinius, Martin; Stolten, Detlef

doi:10.1016/j.apenergy.2016.06.131

Cited by 60 publications

(32 citation statements)

References 20 publications

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“…This scenario analyses the potential for linking the power and transport sectors via fuel cell vehicles (FCVs) and a dedicated hydrogen pipeline grid. Different uses of hydrogen, for example in the transport sector via power-to-fuel [8,9], steel production [10] or the linking of the heat and electricity sectors [11], the potential for reducing wind farm forecast errors [12], the use of hydrogen for methanation purposes [13,14] or as a feed-in to a natural gas grid [15], are not discussed in this article.…”

Section: Introductionmentioning

confidence: 99%

“…The methodological formulation of the described model is constructed from an amalgamation of models developed by students and doctoral candidates working at the IEK-3 at the Forschungszentrum Jülich (Jülich, Germany) over the last few years (selection: [12,[16][17][18][19][20][21][22][23][24][25][26]). Currently, these models correspond to a variety of environments; however, an effort has begun to implement all procedures in the Python programming language.…”

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confidence: 99%

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Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

et al. 2017

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"Linking the power and transport sectors-Part 1" describes the general principle of "sector coupling" (SC), develops a working definition intended of the concept to be of utility to the international scientific community, contains a literature review that provides an overview of relevant scientific papers on this topic and conducts a rudimentary analysis of the linking of the power and transport sectors on a worldwide, EU and German level. The aim of this follow-on paper is to outline an approach to the modelling of SC. Therefore, a study of Germany as a case study was conducted. This study assumes a high share of renewable energy sources (RES) contributing to the grid and significant proportion of fuel cell vehicles (FCVs) in the year 2050, along with a dedicated hydrogen pipeline grid to meet hydrogen demand. To construct a model of this nature, the model environment "METIS" (models for energy transformation and integration systems) we developed will be described in more detail in this paper. Within this framework, a detailed model of the power and transport sector in Germany will be presented in this paper and the rationale behind its assumptions described. Furthermore, an intensive result analysis for the power surplus, utilization of electrolysis, hydrogen pipeline and economic considerations has been conducted to show the potential outcomes of modelling SC. It is hoped that this will serve as a basis for researchers to apply this framework in future to models and analysis with an international focus.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

et al. 2017

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“…Fuel cells were not found to be viable for secondary reserve power provision. Such an analysis could be extended in future work to additional hydrogen uses, PtG products, and a wider geographical base, using further developed electricity generation/consumption and economic models taking into consideration a greater range of influencing parameters, as discussed in [74].…”

Section: Germanymentioning

confidence: 99%

“…Grueger et al [74] quantified the potential of alkaline electrolyzers and fuel cells for re-electrification in mitigating the effects of wind power forecast errors, and in supplying secondary reserve power, for a 100 MW wind power plant in Brandenburg, Germany. The electrolytic hydrogen was solely used to aliment fuel cells that provided reserve power.…”

Section: Germanymentioning

confidence: 99%

A Review of Projected Power-to-Gas Deployment Scenarios

Eveloy

Gebreegziabher

2018

Energies

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Technical, economic and environmental assessments of projected power-to-gas (PtG) deployment scenarios at distributed-to national-scale are reviewed, as well as their extensions to nuclear-assisted renewable hydrogen. Their collective research trends, outcomes, challenges and limitations are highlighted, leading to suggested future work areas. These studies have focused on the conversion of excess wind and solar photovoltaic electricity in European-based energy systems using low-temperature electrolysis technologies. Synthetic natural gas, either solely or with hydrogen, has been the most frequent PtG product. However, the spectrum of possible deployment scenarios has been incompletely explored to date, in terms of geographical/sectorial application environment, electricity generation technology, and PtG processes, products and their end-uses to meet a given energy system demand portfolio. Suggested areas of focus include PtG deployment scenarios: (i) incorporating concentrated solar-and/or hybrid renewable generation technologies; (ii) for energy systems facing high cooling and/or water desalination/treatment demands; (iii) employing high-temperature and/or hybrid hydrogen production processes; and (iv) involving PtG material/energy integrations with other installations/sectors. In terms of PtG deployment simulation, suggested areas include the use of dynamic and load/utilization factor-dependent performance characteristics, dynamic commodity prices, more systematic comparisons between power-to-what potential deployment options and between product end-uses, more holistic performance criteria, and formal optimizations.

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“…Furthermore, many studies are not fully transparent in their assumptions [17,18] (p. 98), while this study introduces a straightforward spatial and time-resolved model of the electrical grid load in Germany that can be used as a basis for more detailed analyses on electrical grid development [19,20], electricity storage [21][22][23] or coupling with other energy systems, such as the Power-to-Gas concept [1,2,24,25]. Section 2 explains possible input parameters for the electrical load and the advantages and disadvantages of each of them.…”

Section: Introductionmentioning

confidence: 99%

A Top-Down Spatially Resolved Electrical Load Model

et al. 2017

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Abstract:The increasing deployment of variable renewable energy sources (VRES) is changing the source regime in the electrical energy sector. However, VRES feed-in from wind turbines and photovoltaic systems is dependent on the weather and only partially predictable. As a result, existing energy sector models must be re-evaluated and adjusted as necessary. In long-term forecast models, the expansion of VRES must be taken into account so that future local overloads can be identified and measures taken. This paper focuses on one input factor for electrical energy models: the electrical load. We compare two different types to describe this, namely vertical grid load and total load. For the total load, an approach for a spatially-resolved electrical load model is developed and applied at the municipal level in Germany. This model provides detailed information about the load at a quarterly-hour resolution across 11,268 German municipalities. In municipalities with concentrations of energy-intensive industry, high loads are expected, which our simulation reproduces with a good degree of accuracy. Our results also show that municipalities with energy-intensive industry have a higher simulated electric load than neighboring municipalities that do not host energy-intensive industries. The underlying data was extracted from publically accessible sources and therefore the methodology introduced is also applicable to other countries.

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Early power to gas applications: Reducing wind farm forecast errors and providing secondary control reserve

Cited by 60 publications

References 20 publications

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany

A Review of Projected Power-to-Gas Deployment Scenarios

A Top-Down Spatially Resolved Electrical Load Model

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