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The relevance of proximity and work-related experience for the individual support for the expansion of power plants: An empirical analysis of wind, coal, and nuclear energy
(2024-06-14)
This paper empirically examines whether proximity to power plants and work-related experience in the wind, coal, and nuclear energy sectors are correlated with the individual support for the expansion of corresponding regional power plants. The data for this analysis stem from a large-scale computer-based survey among more than 3700 citizens in Germany. The econometric analysis with binary and ordered probit models reveals significantly positive correlations between work-related experience in a specific energy sector ...
Aufsatz
Negotiating weights for burden sharing rules in international climate negotiations: an empirical analysis
(2020-11-03)
We have collected data from a world-wide survey among COP delegates to empirically investigate preferences for certain burden sharing rules among key groups in a setting that reflects the possibility of observing concessions from negotiating partners. In our survey, the participants had the opportunity to select and combine up to eight (pre-defined) burden sharing rules and to assign relative weights to the selected rules in their preferred bundle. We examine whether such a mechanism helps to overcome the currently ...
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Annual industrial and commercial heat load profiles: modeling based on k-Means clustering and regression analysis
(2021-05-20)
An accurate method to predict annual heat load profiles is fundamental to many studies, e.g., preliminary design or potential studies on renewable heating systems. This study presents a method to predict annual heat load profiles with a daily resolution for industry and commerce, based on an analysis of 797 natural gas load profiles (≥1.5 GWh/a). To derive heat load profiles, these natural gas load profiles are normalized and those with a potentially non-linear relationship between heat demand and natural gas consumption ...