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Suche nach „[Wolfgang] [Dorner]“ hat 178 Publikationen gefunden
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    NachhaltigAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Javier Valdés, Luis Ramirez Camargo, Wolfgang Dorner

    Generating consumer load profiles to assess demand-side management potential of industries

    Paper ID: 1063

    Energy Proceedings 2020 - Proceedings of 11th International Conference on Applied Energy (12-15 August 2019; Västerås, Sweden)

    2020

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    Zeitschriftenartikel

    Javier Valdés, A. Poque González, Y. Masip Macia, Wolfgang Dorner, Luis Ramirez Camargo

    Unveiling the potential for combined heat and power in Chilean industry-A policy perspective

    Energy Policy, vol. 140, no. May

    2020

    DOI: 10.1016/j.enpol.2020.111331

    Abstract anzeigen

    Combined Heat and Power (CHP) has again become a key element in international energy and environmental policy, since it is one of the most promising methods of ensuring grid stability, making an energy system more flexible and environmentally friendly. This is particularly true in the case of Chile, which has an energy system that progressively introduced volatile renewable energy sources such as wind and solar energy. This scenario has led to the development of a new regulatory strategy and CHP flagship projects throughout the country. Despite this interest, there has been no analysis of CHP development or the impact of the latest regulatory changes on its evolution. This study presents an updated cadastre of the CHP facilities as of 2018, together with an analysis of its evolution in terms of an energy policy. From this cadastre, interviews with experts, and a review of the regulations and incentives, the study identifies the main policy barriers for CHP development in Chile. Furthermore, this study presents a series of challenges and recommendations for the country.

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    Zeitschriftenartikel

    Javier Valdés, Y. Masip Macia, Wolfgang Dorner, Luis Ramirez Camargo

    Unsupervised grouping of industrial electricity demand profiles: synthetic profiles for demand-side management applications

    Energy, no. Available online 1 October 2020

    2020

    DOI: 10.1016/j.energy.2020.118962

    Abstract anzeigen

    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.

    DigitalTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Anja Braehmer, Wolfgang Dorner

    Museum Uploaded. Digitale Technologie für crossmediale grenzüberschreitende Museumskooperationen.

    Online-Erweiterung zum Band 84 (2019) der Museumskunde

    2020

    Abstract anzeigen

    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.

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    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

    DOI: 10.1109/ACIT49673.2020.9208843

    Abstract anzeigen

    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.

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Raphaela Pagany, Javier Valdés, Wolfgang Dorner

    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

    Abstract anzeigen

    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.

    DigitalAngewandte InformatikTC Freyung

    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

    DigitalAngewandte InformatikTC Freyung

    Vortrag

    Raphaela Pagany, Javier Valdés, Wolfgang Dorner

    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

    DigitalAngewandte InformatikTC Freyung

    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

    DigitalAngewandte InformatikTC Freyung

    Vortrag

    Wolfgang Dorner

    Road Infrastructure Documentation

    IENE - Infrastructure and Ecology Network Europe, Évora, Portugal (conference postponed)

    2020

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Wolfgang Dorner, Mariann Juha

    Museumsapps - Individualität versus Plattformstrategie

    Digital Humanities Austria 2018

    2020

    ISBN: 978-3-7001-8668-7

    DigitalAngewandte InformatikTC Freyung

    Vortrag

    C. Hoermann, Raphaela Pagany, F. Ossi, F. Cagnacci, Wolfgang Dorner, M. Heurich

    L‘ecologia del movimento e gli investimenti stradali: Un‘analisi a larga scala sul capriolo europeo (Capreolus capreolus)

    Workshop Wildunfälle in Südtirol - Incidenti stradali con la fauna selvatica in Alto Adige, Bozen, Italy

    2019

    DigitalAngewandte InformatikTC Freyung

    Vortrag

    Simon Graf, Raphaela Pagany, Wolfgang Dorner, A. Weigold

    Georeferencing of Road Infrastructure from Photographs using Computer Vision and Deep Learning for Road Safety Applications

    5th International Conference on Geographical Information Systems Theory, Applications and Management, Heraklion, Greece

    2019

    DigitalNachhaltigAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Jane Wuth, Javier Valdés, Luis Ramirez Camargo, Wolfgang Dorner

    Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic

    Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM2019) [May 3-5, 2019; Heraklion, Crete, Greece], vol. Vol. 1

    2019

    Abstract anzeigen

    One of the major challenges for the energy transition is to reconcile variable renewable energy production with stochastically changing energy demand including the pursued changes in e.g. transport like electro mobility. This requires smart systems that should be designed to minimize balancing and transmission costs. The design and modelling of such systems requires high resolution energy generation and demand data, which usually either do not exist or is not available. Methodologies to address this lack of data populate scientific literature but its replicability is limited by an inadequate level of detail in the description of the methodologies and to a larger extent by the absence or low quality of basic data. This manuscript summarizes severalyears of research in energy modelling using Geographical Information Systems as well as spatial and temporal data of the rural areas in Bavaria (Germany) and the Czech Republic. Data requirements for energy demand and energy supply including different types of users and technologies are addressed. Irreconcilable data gaps are presented, examples to fill data gaps as well as recommendations for future necessary developments are provided

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    Beitrag (Sammelband oder Tagungsband)

    Javier Valdés, Luis Ramirez Camargo, A. Poque, Y. Masip Macia, Wolfgang Dorner

    Potential of the paper industry as system flexibility provider for an electrical system with high renewable energy share in Chile

    Geophysical Research Abstracts, vol. 21

    2019

    NachhaltigAngewandte InformatikTC Freyung

    Zeitschriftenartikel

    Javier Valdés, A. Poque González, Luis Ramirez Camargo, M. Valin Fenández, Y. Masip Macia, Wolfgang Dorner

    Industry, flexibility, and demand response: Applying German energy transition lessons in Chile

    Energy Research & Social Science, vol. 54, no. August, pp. 12-25

    2019

    DOI: 10.1016/j.erss.2019.03.003

    Abstract anzeigen

    Demand side management (DSM) contributes, among its other purposes, to provide stability and flexibility to energy systems that include a high proportion of variable renewable energy in pioneer countries and those which recently began their energy transition. Among DSM policies, implementation of measures and mechanisms for a demand response (DR) is not a trivial matter. This study presents a review and comparative analysis of the major energy policy developments in Germany and Chile. Based on i) the relevance of the industry sector in both countries, ii) the difficulty in implementing the regulatory framework and iii) the importance given to the industrial customers in the German legislation and DR literature, the following analysis will focus on both medium and large industrial customers. The goals are to review the challenges in untying the full DR potential of the productive industry and to provide recommendations for the promotion of DR in Chile. Emphasis is placed on the lessons learned in fitting the wide potential of DR in the German electricity markets. A review of the successes and failures of the German experience reveals the potential risk that poor policy implementation can have in both the short and long term.

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    Zeitschriftenartikel

    Luis Ramirez Camargo, Javier Valdés, Y. Masip Macia, Wolfgang Dorner

    Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile

    Applied Energy, vol. 250, no. 15 September 2019, pp. 1548-1558

    2019

    DOI: 10.1016/j.apenergy.2019.05.005

    Abstract anzeigen

    Chile has an immense renewable energy potential but its integration into the energy system constitutes a major challenge. The country has a complex topography that is expressed by a divided national grid with almost isolated subsystems and wide differences in the availability of renewable energy resources. The present study aims at evaluating the potentials of combining solar power, wind power and storage systems to provide steady loads already from the generation source. The analysis relies on an optimization model to size hybrid renewable energy systems and 10 years of weather data from the brand new ERA5 global reanalysis. Multiple scenarios are calculated and intercompared for all possible locations across the country. These scenarios include system sizing considering hourly weather data for the period 2008–2017 and for one year without major weather extreme events. In both analyses, the results are calculated for systems that generate 1 MWh of electricity at every time step and systems that have certain intraday flexibility. Results show that the necessary generation and storage capacities to provide a steady energy output are very high even for areas with exceptionally high renewable energy potential (in the Atacama desert the system configuration requirements could reach 10 MWp of photovoltaics and 10 MWh of storage). Intraday flexibility has direct effects on these results by reducing the total size of the systems but the effects on the sizes of the installations of the particular technologies depend on the individual geographical location.

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    K. Horníčková, J. Fesl, L. Dostálek, Wolfgang Dorner, M. Vohnoutová, K. Preusz, M. Preusz, Anne Weinfurtner, L. Závitkovská

    Photostruk – Uniting Science and Humanities for the Reconstruction of Lost Cultural Heritage Sites and Landscape

    2019 9th International Conference on Advanced Computer Information Technologies (ACIT'2019) [Ceske Budejovice, Czech Republic, June 5-7, 2019]

    2019

    ISBN: 978-1-7281-0449-2

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Anne Weinfurtner, Wolfgang Dorner, Simon Graf

    How to Better Find Historical Photographs in an Archive Geographic Driven Reverse Search for Photographs

    Digital Humanities Conference 2019 (DH2019)

    2019

    Abstract anzeigen

    Historical photographs are important sources for documenting the past of humanity. They can serve as evidence of our society’s history but are also objects of research themselves. Today, the standard format for describing the geographical origin of a photograph is to assign a geoname or point coordinate of the location of the photographer to the image. In view of historical photographs, we are dealing within this operation with spatial uncertainty. In most cases it is not possible to define the exact location of the photographer in form of coordinates in e.g. regions that afflicted strong environmental changes over time. The aspect of spatial uncertainty is also present, when describing the location of the photograph`s origin by a so-called geoname. A geoname can be comprehended to different extents. For example, it can name a region, a city or just a small part of a city. Therefore the question of the exact spatial origin cannot be answered by solely using a geoname. Such aspects of uncertainty in the localization of historical photographs complicate the retrievability in archives for spatially oriented search. Since the photographs cannot be found by entering search queries in the archive, their potential to serve as a data source for research cannot be fully exploited.

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    Beitrag (Sammelband oder Tagungsband)

    Wolfgang Dorner, Luis Ramirez Camargo, Peter Hofmann

    Can Geoinformation Help to Better Protect Informal Settlements? - A Concept For the City of Medellín

    Gi4DM 2019 – GeoInformation for Disaster Management, vol. XLII-3/W8

    2019

    DOI: 10.5194/isprs-archives-XLII-3-W8-115-2019

    Abstract anzeigen

    New contributions to disaster research need to address the increasing vulnerability of informal settlements in a changing climate situation. Informal settlements are frequently built in hazardous areas and are often left out of traditional disaster risk management concepts. Hence, formal and informal societal structures, as well as technical systems to warn against, handle or mitigate natural hazards, need to evolve. Within the project Inform@Risk we are addressing these issues based on a case study in Medellín (Colombia). Here, as a result of civil conflicts informal dwellings were partly constructed by people displaced from rural areas. They are mainly located in the urban peripheral areas along steep and unstable slopes, where the resettlement of all inhabitants at risk of landslides is unfeasible. This contribution presents the technical infrastructure and the concept to incorporate geodata from different sources in an integrated landslide early warning system for some selected informal settlements of Medellin. Special attention is given to possibilities on how building societal institutions, supported by information systems, increases local resilience. Using geoformation as a basis, we will combine classical participatory planning methods with digitally assisted concepts. These include combining satellite and UAS based remote sensing data with terrestrial sensor networks, crowd sourcing and citizen science to collect volunteered geographic information about the settlement and its environmental parameters, as well as distribute this information and disseminate warnings to the local population.