Dein Suchergebnis zum Thema: Model

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
Publikationen Data harmonisation for energy system analysis – Example of multi-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/

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

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
Sie befinden sich hier: Start Publikationen Impacts of power sector 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