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Maier, Claudia
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Official Name
Maier, Claudia
Main Affiliation
Akademische Titel
BA MA
ORCID
Scopus Author ID
57221311829
Status
staff
Research Outputs
Now showing 1 - 10 of 11
- PublicationPreferences on Home Energy Management Systems - A Study of Potentials for the Use of End User Flexibilities(2020-09)
; ; ; ; Due to the increase of volatile renewable energy resources, additional flexibility in the electricity system is necessary to ensure a technically and economically efficient network operation. To tap flexibilities like private storages, participatory developed and user-friendly technical solutions are essential. In this work, the acceptance and the market potential of a home energy management system with focus on i) grid optimization, ii) self-consumption optimization, and iii) additional functions for increased comfort is presented. This is determined by means of a representative survey. The main results show that the perceived usefulness and accessibility are the most important influence factors affecting the end user’s intention to use. Based on the given acceptance, the solution provides a market potential of one third of the users for an increased use of flexibilities in the investigated area.717 4218 - PublicationA typology of end users’ willingness to share energy data(Leykam, 2020-11-26)
; ;Hatzl, Stefanie ;Fleiß, Eva; 159 741 - PublicationAn Experimental Investigation on the Comprehension of Electricity Consumption, Generation and Grid Supply VisualizationEnergy consumption at the household level has a significant environmental impact. However, it is often difficult for end users to understand this complex topic. Hence, end users need to sight and understand their own energy data by means of appropriate visualizations to achieve a sustainable change towards more efficient energy consumption behavior. By means of an experimental online survey, the comprehension of energy data visualizations with regard to the daily electricity consumption of a multi-person household was surveyed. A total of n = 538 respondents were asked about their comprehension at three levels of difficulty, considering the response duration. The results show that comprehension differs depending on the energy data visualization type and its information density. This work contributes to determine appropriate visualization types to unleash potential for more energy efficient end user behavior.
149 5566 - PublicationAn interdisciplinary approach of a local peer-to-peer energy trading model for a more sustainable power grid(SDEWES Centre, 2021-10)
; ; ; ; ; This work investigates a novel distance-based electricity tariff applicable to energy communities. Based on a mixed integer linear optimization model computational studies are conducted to investigate the effects of this tariff on a small-scale community consisting of 22 consumers and 5 prosumers. Additionally, the potential of electric storage systems supporting the use of locally produced energy is investigated. The results of the computational model prove that an energy community generates incentives photovoltaic plants and the installation of energy storage systems. Complementary to the simulations, the flexibility options are supported by a user survey focusing on technology attributes for local energy market models, proving that there is a significant awareness for the use of energy storage systems.562 34312 - Publication
121 1Scopus© Citations 5 - PublicationA Case Study of Socially-Accepted Potentials for the Use of End User Flexibility by Home Energy Management Systems(MDPI, 2020-12-25)
; ; ; ; ; Due to the increase of volatile renewable energy resources, additional flexibility will be necessary in the electricity system in the future to ensure a technically and economically efficient network operation. Although home energy management systems hold potential for a supply of flexibility to the grid, private end users often neglect or even ignore recommendations regarding beneficial behavior. In this work, the social acceptance and requirements of a participatively developed home energy management system with focus on (i) system support optimization, (ii) self-consumption and self-sufficiency optimization, and (iii) additional comfort functions are determined. Subsequently, the socially-accepted flexibility potential of the home energy management system is estimated. Using methods of online household survey, cluster analysis, and energy-economic optimization, the socially-accepted techno-economic potential of households in a three-community cluster sample area is computed. Results show about a third of the participants accept the developed system. This yields a shiftable load of nearly 1.8 MW within the small sample area. Furthermore, the system yields the considerably larger monetary surplus on the supplier-side due to its focus on system support optimization. New electricity market opportunities are necessary to adequately reward a systemically useful load behavior of households.175 1Scopus© Citations 7 - PublicationA User Perspective on current Drivers and Barriers for Electric Vehicle Usage in AustriaThe global electric vehicle market is rapidly growing, which is an important step, as electro-mobility is an essential driver for achieving climate targets. However, acceptance of electric vehicles is still lacking among potential users. To overcome their skepticism, it is necessary to understand the decisive factors for the consumers’ decision-making process. Therefore, this work investigates essential drivers and barriers to electric vehicle adoption derived from international literature. Electric vehicle users from the electro-mobility-club Austria were interviewed by means of an online survey. Importance-performance analysis was conducted to analyze the data. Interpretations are supported by means of receiver operating characteristic analysis. The results show that the environmental performance of electric vehicles is a key motivator for participants and that this is already perceived as satisfying. Major barriers governments and manufactures should address are acquisition cost, range and time consumption associated with the usage of electric vehicles.
223 10980 - Publication
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