333 Boden- und Energiewirtschaft
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Purpose
The purpose of this study is to examine private households’ preferences for service bundles in the German energy market.
Design/methodology/approach
This investigation is based on survey data collected from 3,663 customers of seven mainly municipal energy suppliers in the German energy market. The data set was analyzed via a binary logistic regression model to identify the most prospective customers and their preferences regarding bundles of energy services.
Findings
The results indicate that potential adopters of energy-related service bundles have greater prior knowledge about service bundles; place higher importance on simplified handling, flat rates and long price guarantees; prefer to purchase a service bundle from an energy supplier; live in urban areas and have a gas tariff; are both less likely to have a green electricity tariff and to support the German energy transition; have a greater intention to purchase a smart home product; are less likely to already be prosumers; and prefer customer centers and social media as communication channels with energy providers.
Practical implications
This paper offers several implications for decision-makers in developing marketing strategies for bundled offerings in a highly competitive energy market.
Originality/value
This paper contributes to the sparse research on service bundles in the energy sector, despite the growing interest of energy suppliers and consumers in this topic. It expands the research focusing on the telecommunications sector.
This paper examines the deployment of Power to-X technologies in the US energy system through 2040. For this analysis, Power-to-X technologies have been added to an input database representing the US energy system as a single region, which is used in conjunction with an energy system optimization model called Tools for energy model optimization and analysis (Temoa). Detailed data for each individual technology, including water electrolysis, hydrogen compression and storage, chemical processing to synthetic natural gas (SNG) and methanol was collected and entered to the input database. Under a deep decarbonization scenario, Power-to-X is deployed beginning in 2035 under the assumption of no new nuclear power plants installed and a restriction on biodiesel production based on limited area for growing crops. The major portion of the hydrogen generated by electrolysis from excess PV- and wind-generated electricity goes into the production of methanol. This result suggests that Power-to-X is used to generate transport fuels in order to reduce CO2 emissions especially in this sector.