Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/en16135113
Lizenz creative commons licence
Titel (primär) Integrating knowledge acquisition, visualization, and dissemination in energy system models: BENOPTex study
Autor Esmaeili Aliabadi, D. ORCID logo ; Manske, D. ORCID logo ; Seeger, L.; Lehneis, R. ORCID logo ; Thrän, D.
Quelle Energies
Erscheinungsjahr 2023
Department BIOENERGIE
Band/Volume 16
Heft 13
Seite von art. 5113
Sprache englisch
Topic T5 Future Landscapes
Keywords storytelling; data visualization; energy system models; information dissemination
Abstract 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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27211
Esmaeili Aliabadi, D., Manske, D., Seeger, L., Lehneis, R., Thrän, D. (2023):
Integrating knowledge acquisition, visualization, and dissemination in energy system models: BENOPTex study
Energies 16 (13), art. 5113 10.3390/en16135113