InformaApp - Publikationen

Anja Braehmer, Wolfgang Dorner

Demand side management is a promising alternative to offer flexibility to power systems with high shares of variable renewable energy sources. Numerous industries possess large demand side management potentials but accounting for them in energy system analysis and modelling is restricted by the availability of their demand data, which are usually confidential. In this study, a methodology to synthetize anonymized hourly electricity consumption profiles for industries and to calculate their flexibility potential is proposed. This combines different partitioning and hierarchical clustering analysis techniques with regression analysis. The methodology is applied to three case studies in Chile: two pulp and paper industry plants and one food industry plant. A significant hourly, daily and annual flexibility potential is found for the three cases (15% to 75%). Moreover, the resulting demand profiles share the same statistical characteristics as the measured profiles but can be used in modelling exercises without confidentiality issues.

Digital TC Freyung

Beitrag (Sammelband oder Tagungsband)

Museum Uploaded. Digitale Technologie für crossmediale grenzüberschreitende Museumskooperationen.

Online-Erweiterung zum Band 84 (2019) der Museumskunde

2020

DOI: 10.17645/pag.v8i3.3025

Zusammen mit Projektpartnern entwickelt die TH Deggendorf digitale Technologien für eine neue stadtgeschichtliche Dauerausstellung im Stadtmuseum Deggendorf. Konkret handelt es sich hierbei um drei digitale Teilprojekte: ein Content Management System (CMS), das erlaubt die festinstallierten Medienstationen der Ausstellung zentral zu verwalten, einen digitalen Museumsbegleiter, der die Geschichten der Exponate erzählt und Zugang zu Vertiefungsebenen bietet und eine barrierefreie digitale Anwendung zur Verknüpfung von Museums-und Stadtraum.

Nachhaltig TC Freyung

Zeitschriftenartikel

Roland Zink, Javier Valdés, Jane Wuth

Prioritizing the Chicken or Egg? Electric Vehicle Purchase and Charging Infrastructure Subsidies in Germany

Politics and Governance, vol. 8, no. 3, pp. 185-198

2020

Digital Nachhaltig Angewandte Informatik TC Freyung

To meet current targets for greenhouse gas emissions in Europe, emissions, especially those originating from the road transport sector, need to be reduced. Plans are to achieve this goal by substituting fossil fuel vehicles with electric vehicles (EVs). This article first discusses conceptually the impact of an increasing share of EVs on the electricity grid and suitable locations for charging stations with examples from a Case Study in Lower Bavaria. Secondly, the impact of purchase subsidies on EV purchases in Germany, a high-income country characterized by an important automotive industry and an increasing share of private vehicles is examined. To achieve this, yearly information on EV purchases were analyzed by applying the Synthetic Control Method. Combining data from different sources including the European Alternative Fuels Observatory, Eurostat, and the European Automobile Manufacturers' Association, an overall picture was developed. Results indicate a difference between private, semi-public, and public charging infrastructures. Its spatial distribution does not correspond to a specific development strategy. Moreover, EV subsidies have a limited effect in Germany when controlling for market size. Limiting the discussion to a trade-off between subsidizing infrastructures or EV purchases obviates the multidimensionality of the problem as neither of them may be sufficient to accelerate the transition per se. Furthermore, if electricity provided for EVs comes mainly from fossil carriers, the changes in the road transport sector will not yield the expected emission reductions. The transition towards renewables is directly intertwined with the effects of EVs on emission reductions in the road transport sector.

Vortrag

Digital Nachhaltig Angewandte Informatik TC Freyung

Digitale Partizipation als Prozessbeschleuniger für öffentliche Projekte - Bürgerbeteiligung im Projekt ALIA in der Gemeinde Weiherhammer

Posterpräsentation

INUAS International Conference 2020: Ressourcen - Zeit, Raum, Energie, Material (INUAS-Konferenzreihe - Urbane Transformationen: Wohnen, Ressourcen, Öffentliche Räume), München

2020

Vortrag

Digital Nachhaltig Angewandte Informatik TC Freyung

Digitale Partizipation von FörderschülerInnen zur sozial und materiell nachhaltigen Gestaltung des Baubestands - Chancen digitaler Beteiligung von SchülerInnen am Beispiel der Schulhaussanierung des Rupert-Egenberger-Förderschulzentrums in der Stadt Amberg/Opf.

Posterpräsentation

INUAS International Conference 2020: Ressourcen - Zeit, Raum, Energie, Material (INUAS-Konferenzreihe - Urbane Transformationen: Wohnen, Ressourcen, Öffentliche Räume), München

2020

Vortrag

Digital Nachhaltig Angewandte Informatik TC Freyung

Digitale Partizipation als Prozessbeschleuniger für öffentliche Projekte - Bürgerbeteiligung im Projekt ALIA in der Gemeinde Weiherhammer

INUAS International Conference 2020: Ressourcen - Zeit, Raum, Energie, Material (INUAS-Konferenzreihe - Urbane Transformationen: Wohnen, Ressourcen, Öffentliche Räume), München

2020

Vortrag

Digital Nachhaltig Angewandte Informatik TC Freyung

INUAS International Conference 2020: Ressourcen - Zeit, Raum, Energie, Material (INUAS-Konferenzreihe - Urbane Transformationen: Wohnen, Ressourcen, Öffentliche Räume), München

2020

Vortrag

Melanie Piser, Sebastian Wöllmann, Roland Zink

Adolescents in Spatial Planning - A Digital Participation Platform for Smart Environmental and Democratic Education in Schools

Video presentation

21st Annual International Digital Landscape Architecture Conference 2020 (DLA), All-virtual online event (on-site conference at Harvard GSD, Boston, MA, USA cancelled)

2020

Digital Nachhaltig Angewandte Informatik TC Freyung

Beitrag (Sammelband oder Tagungsband)

Melanie Piser, Sebastian Wöllmann, Roland Zink

Adolescents in Spatial Planning - A Digital Participation Platform for Smart Environmental and Democratic Education in Schools

Journal of Digital Landscape Architecture (JoDLA) 5-2020, Berlin; Offenbach, vol. 5

2020

ISBN: 978-3-87907-690-1

Sebastian Wöllmann, Roland Zink, Melanie Piser

Vortrag

3D Mapping to collect volunteered geographic information

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

2020

Sebastian Wöllmann, Roland Zink, Melanie Piser

Beitrag (Sammelband oder Tagungsband)

3D Mapping to collect volunteered geographic information

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

DOI: 10.1109/ACIT49673.2020.9208958

This paper discusses the concept of crowdsourcing in combination with our new developed 3D viewer which is integrated in the technical infrastructure of PUBinPLAN, our digital participation platform. The voluntarily gathered information is collected on PUBinPLAN, where people can join and share their spatial knowledge on our 3D models of the city of Deggendorf and the Deggendorf Institute of Technology. Firstly, the technical details of the 3D viewer and the implementation into the PUBinPLAN website are explained and then, in a case study, the performance on different devices and in different browsers is analysed to ensure a smooth mapping experience for architectural approaches. This creates an added value to participatory regional and spatial planning processes.

DOI: 10.1109/ACIT49673.2020.9208843

Beitrag (Sammelband oder Tagungsband)

C. Hoermann, Raphaela Pagany, K. Kirchner, Wolfgang Dorner, M. Heurich, I. Storch

Predicting the risk of deer-vehicle collisions by inferring rules learnt from deer experience and movement patterns in the vicinity of roads

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

Estimates of annual deer-vehicle collisions exceed one million incidences in Europe. Consequently, we were analyzing whether an animal’s experience and movement pattern close to roads can provide crucial information for accident prevention and mitigation measures. We applied an innovative approach using machine learning and step selection analyses to find rules and patterns in deer movement data for a better understanding of the spatio-temporal dynamics in wildlife-vehicle collisions. The rule tree indicated highest collision probabilities when the mean distance to a road of a roe deer tracking path was shorter than 192 meters and the roe deer crossed in more unfamiliar areas of its home range. The step selection function analysis revealed no obvious road avoidance and more road crossings in areas with less understory vegetation. Our results demonstrate the power of learned threshold values and step selection functions modelling results for a better understanding of the factors driving deer behavior in the vicinity of roads.

Raphaela Pagany, Javier Valdés, Wolfgang Dorner

Beitrag (Sammelband oder Tagungsband)

Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

DOI: 10.1109/ACIT49673.2020.9208946

Risk prediction of wildlife-vehicle collisions is crucial for reducing the abundant number of road accidents with wildlife worldwide. In this study, three different machine learning approaches - Gaussian Naive Bayes, Stochastic Gradient Descent, Random Forest - relying on recorded accident data, environmental, temporal and infrastructural parameters, are used to test the impurity of these parameters, and to predict the risk of wildlife-vehicle collisions. We use a dataset of one million police recorded accidents for southeastern Bavaria. Based on different approaches for feature engineering, we show the importance of data pre-processing and cleaning. With Random Forest, we receive a prediction accuracy of accidents of 86.7%. Additionally, the transferability of the three approaches is discussed, and possible ways of dynamic warnings via smartphone are presented.

Vortrag

C. Hoermann, Raphaela Pagany, K. Kirchner, Wolfgang Dorner, M. Heurich, I. Storch

Predicting the risk of deer-vehicle collisions by inferring rules learnt from deer experience and movement patterns in the vicinity of roads

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

2020

Raphaela Pagany, Javier Valdés, Wolfgang Dorner

Vortrag

Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

2020

Zeitschriftenartikel

J. Trager, L. Kalová, Raphaela Pagany, Wolfgang Dorner

Warning apps for road safety – a technological and economical perspective for autonomous driving

[Article submitted]

International Journal of Human–Computer Interaction

2020

Zeitschriftenartikel

Raphaela Pagany

Wildlife-vehicle collisions—Influencing factors, data collection and research methods

[Article submitted]

Biological Conservation

2020