Davidson H, Chaianong A, Qussous R, Milioritsas I, Lilliestam J, Schäfer M (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Zenodo
Energy system optimization models are widely used tools to design and analyze cost- efficient system transformation pathways, identify trade-offs and no-regret solutions, or to investigate the influence of different assumptions and boundary conditions on sys- tem characteristics [1]. Such models integrate a broad range of parameters, including technological costs, resource availability, emissions limits, but also implicit representa- tions of socio-political factors like land-use restrictions or limits to the diffusion of new technologies. Data for technical parameters or cost estimates generally are available from differ- ent sources in well-structured form, allowing direct and explicit model integration and transparent discussion of input data setting for energy system optimization models. In contrast, the inclusion of societal or political factors often is more implicitly entangled in the modeling process, for instance through boundary conditions or the choice of spe- cific demand patterns [2]–[5]. Modeling studies with a focus on the influence of such factors thus often cannot draw on already existing data sets, but rather collect and integrate specific data for a specific modeling purpose [6].
APA:
Davidson, H., Chaianong, A., Qussous, R., Milioritsas, I., Lilliestam, J., & Schäfer, M. (2025). Integration of regulatory constraints from a policy database into the energy system modeling tool atlite. In Proceedings of the NFDI4Energy. Karlsruhe, DE: Zenodo.
MLA:
Davidson, Hannah, et al. "Integration of regulatory constraints from a policy database into the energy system modeling tool atlite." Proceedings of the NFDI4Energy, Karlsruhe Zenodo, 2025.
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