Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning

Cao, Karl‐Kiên; Haas, Jannik; Sperber, Evelyn; Sasanpour, Shima; Sarfarazi, Seyedfarzad; Pregger, Thomas; Alaya, Oussama; Lens, Hendrik; Drauz, Simon Ruben; Kneiske, T.

doi:10.1002/ese3.891

Cited by 8 publications

(1 citation statement)

References 45 publications

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“…A similar linking method between ESOMs and PSMs is pursued in [19,20], resulting in complex hybrid models. Hybrid models have to deal with the multi-dimensional granularity gaps that exist between models in different disciplines [21]; therefore, the next generation of hybrid ESOMs needs novel communication methods in order to assist stakeholders with heterogeneous perspectives in comprehending the underlying interdisciplinary system.…”

Section: Introductionmentioning

confidence: 99%

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

et al. 2023

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While storytelling and visualization have always been recognized as invaluable techniques for imparting knowledge across generations, their importance has become even more evident in the present information age as the abundance of complex data grows exponentially. These techniques can simplify convoluted concepts and communicate them in a way to be intelligible for diverse audiences, bringing together heterogeneous stakeholders and fostering collaboration. In the field of energy and climate research, there is an increasing demand to make sophisticated models and their outcomes explainable and comprehensible for an audience of laypersons. Unfortunately, traditional tools and methods may be inefficient to provide meaning for input and output values; therefore, in this study, we employ a storytelling tool, the so-called Academic Presenter, to digest various datasets and visualize the extended BioENergy OPTimization model (BENOPTex) outcomes in different online and offline formats. The developed tool facilitates communications among collaborators with a broad spectrum of backgrounds by transforming outcomes into visually appealing stories. Although this study focuses on designing an ideal user interface for BENOPTex, the developed features and the learned lessons can be replicated for other energy system models.

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Section: Introductionmentioning

confidence: 99%

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

et al. 2023

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TransHyDE‐Sys: An Integrated Systemic Approach for Analyzing and Supporting the Transformation of Energy Systems and Hydrogen Infrastructure Development

Kigle,

Mohr,

Kneiske

et al. 2024

Energy Tech

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In addition to the long‐term goal of mitigating climate change, the current geopolitical upheavals heighten the urgency to transform Europe's energy system. This involves expanding renewable energies while managing intermittent electricity generation. Hydrogen is a promising solution to balance generation and demand, simultaneously decarbonizing complex applications. To model the energy system's transformation, the project TransHyDE‐Sys, funded by the German Federal Ministry of Education and Research, takes an integrated approach beyond traditional energy system analysis, incorporating a diverse range of more detailed methods and tools. Herein, TransHyDE‐Sys is situated within the recent policy discussion. It addresses the requirements for energy system modeling to gain insights into transforming the European hydrogen and energy infrastructure. It identifies knowledge gaps in the existing literature on hydrogen infrastructure‐oriented energy system modeling and presents the research approach of TransHyDE‐Sys. TransHyDE‐Sys analyzes the development of hydrogen and energy infrastructures from “the system” and “the stakeholder” perspectives. The integrated modeling landscape captures temporal and spatial interactions among hydrogen, electricity, and natural gas infrastructure, providing comprehensive insights for systemic infrastructure planning. This allows a more accurate representation of the energy system's dynamics and aids in decision‐making for achieving sustainable and efficient hydrogen network development integration.

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A Network Modeling Systematics for Transition Paths Toward Climate Neutral Gas Networks—NeMoSys ['nεmɒsis] –

Müller‐Kirchenbauer,

Ragwitz,

Kneiske

et al. 2024

Energy Tech

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Meaningful network modeling requires high spatial and temporal resolution and thus adds further complexity to the already complex energy systems analyses; unsecured and varying framework conditions, as well as their changes over time, have to be taken into consideration on the backdrop of path‐dependencies for network development over time. This perspectives article provides a systematic framework for gas network modeling, starting with a morphology of modeling dimensions and elements and the hierarchy of influencing factors. It gives an overview on the necessary data and attributes, development steps, and assessment criteria; it showcases solutions for data management, fluid dynamic network simulation, and results assessment that have been applied and developed in the course of the TransHyDE project and other related research projects. Framework and solutions are merged into a consolidated network modeling systematics that shall be further developed and made available to researchers as well as to network planners for practical application and governmental bodies for assessments. The systematics presented here will be further developed, applied, and operationalized in a database and tool compilation with open‐access for collaboration and further development.

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Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning

Cited by 8 publications

References 45 publications

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

TransHyDE‐Sys: An Integrated Systemic Approach for Analyzing and Supporting the Transformation of Energy Systems and Hydrogen Infrastructure Development

A Network Modeling Systematics for Transition Paths Toward Climate Neutral Gas Networks—NeMoSys ['nεmɒsis] –

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