Dein Suchergebnis zum Thema: Model

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Data harmonisation for energy system analysis – Example of multi-model experiments

https://www.oeko.de/publikation/data-harmonisation-for-energy-system-analysis-example-of-multi-model-experiments/

Thus, model experiments are a vital tool to provide an overview of the range of models – and enable decision-makers to make meaningful model choices. – In the MODEX project cluster, six model experiments, including 40 energy system models – A key finding is that while model heterogeneity complicates harmonisation, an early – The metadata collection can provide a significant advantage for the use of model
Thus, model experiments are a vital tool to provide an overview of the range of models

Why electricity market models yield different results: Carbon pricing in a model-comparison

https://www.oeko.de/publikation/why-electricity-market-models-yield-different-results-carbon-pricing-in-a-model-comparison-experiment/

potential uncertainty of the models themselves remains unclear from existing single-model – This study investigates such model-related uncertainty by running a structured model – exposes five numerical power sector models to aligned input parameters—finding stark model – By further studying cross-model variation in the remaining emissions at high carbon – combined heat and power is identified as another crucial driver of differences across model
potential uncertainty of the models themselves remains unclear from existing single-model

Why electricity market models yield different results: Carbon pricing in a model-comparison

https://www.oeko.de/publikation/why-electricity-market-models-yield-different-results-carbon-pricing-in-a-model-comparison-experiment/?tx_form_formframework%5Baction%5D=perform&tx_form_formframework%5Bcontroller%5D=FormFrontend&cHash=48a5805f581b1fb3a28cd81f6b98f3b8

potential uncertainty of the models themselves remains unclear from existing single-model – This study investigates such model-related uncertainty by running a structured model – exposes five numerical power sector models to aligned input parameters—finding stark model – By further studying cross-model variation in the remaining emissions at high carbon – combined heat and power is identified as another crucial driver of differences across model
potential uncertainty of the models themselves remains unclear from existing single-model

Impact of model parametrization and formulation on the explorative power of electricity

https://www.oeko.de/publikation/impact-of-model-parametrization-and-formulation-on-the-explorative-power-of-electricity-network-congestion-management-models-insights-from-a-grid-model-comparison-experiment/

The effects of model parameterization and formulation on congestion management results – Results indicate that data parametrization can have large impacts on model results – The analysis also highlights the need to thoroughly calibrate key model parameters
The effects of model parameterization and formulation on congestion management results

of integrated electricity and heat systems—Assessing mid-term policies using a model

https://www.oeko.de/publikation/the-transformation-of-integrated-electricity-and-heat-systems-assessing-mid-term-policies-using-a-model-comparison-approach/

Many model-based policy assessments evaluate potential benefits of combined heat – While scenarios and model inputs may partly explain such variations, differences – in results may also be related to the model formulation itself. – Model differences can be attributed mainly to the level of detail of combined heat
Many model-based policy assessments evaluate potential benefits of combined heat

Impacts of power sector model features on optimal capacity expansion: A comparative

https://www.oeko.de/publikation/impacts-of-power-sector-model-features-on-optimal-capacity-expansion-a-comparative-study/

expansion of only one or two specific technologies to isolate their effects on model – We further find deviations in model results of optimal storage and transmission capacity – the general effects identified in our stylized setting also hold in more detailed model
expansion of only one or two specific technologies to isolate their effects on model

Modeling flexibility in energy systems — comparison of power sector models based

https://www.oeko.de/publikation/modeling-flexibility-in-energy-systems-comparison-of-power-sector-models-based-on-simplified-test-cases/

Model-based scenario analyses of future energy systems often come to deviating results – This may be caused by heterogeneous input data and by inherent differences in model – features on model outcomes. – In model analyses where these technologies are a relevant factor, it is therefore – detailed analysis of the effect of individual differences in technology modeling and model
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State Budget Independent, Market-Based Instruments to Finance Renewable Heat Strategies | oeko.de

https://www.oeko.de/publikation/state-budget-independent-market-based-instruments-to-finance-renewable-heat-strategies/

A physical quota system for biomass, a technology-based quota system (Portfolio Model – ) and a remuneration-based system (Premium model). – The assessment suggests that while the Portfolio Model and the Premium Model are – RES-H deployment, there is greater acceptance among stakeholders for the Premium Model
A physical quota system for biomass, a technology-based quota system (Portfolio Model

Coal phase-out in Germany – Implications and policies for affected regions | oeko.de

https://www.oeko.de/publikation/coal-phase-out-in-germany-implications-and-policies-for-affected-regions/

Soft-linking an energy system model with an input-output model and a regional macroeconomic – model simulates the socio-economic effects of the phase-out in the lignite regions – The model results show that the lignite coal regions will exhibit losses in output
Soft-linking an energy system model with an input-output model and a regional macroeconomic

a qualitative and quantitative comparison of power system and electricity grid models

https://www.oeko.de/publikation/development-of-an-open-framework-for-a-qualitative-and-quantitative-comparison-of-power-system-and-electricity-grid-models-for-europe/

The quantitative model comparison is done by performing harmonized model experiments – framework is suitable to make similarities and differences between the different model – transparency and to support the open modeling community, the fact sheets with the model – specifications and the database with selected model results are uploaded on the
The quantitative model comparison is done by performing harmonized model experiments