Auflistung nach Autor:in "Schmitz, Christian"
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- KonferenzbeitragDesign of an IT-Assistant System for CO2 Emission Trading(Environmental Informatics and Industrial Environmental Protection: Concepts, Methods and Tools, 2009) Page, Bernd; Schmitz, Christian; Joschko, Philip; Denz, NicolasThis paper examines the EU emission trading scheme with a focus on IT support tools from applied computer science. We claim that a software assistant is a suitable approach to help reducing the complexity of the European emission trading scheme from the point of view of facility operators. We present the preliminary design of an assistant system called EmTrAs (Emission Trade Assistant) that will guide facility operators through the ‘jungle’ of the emission trading system step-by-step. To allow for a timely adaptation of the assistant system to changing requirements (e.g. due to legal changes in the emission trading scheme) we consider an implementation based on workflow technology and component-based software engineering.
- KonferenzbeitragEmission Trade Assistant: Prototype Implementation and Lessons learned(Innovations in Sharing Environmental Observations and Information, 2011) Joschko, Philip; Schäfer, Hennes; Denz, Nicolas; Schmitz, Christian; Page, BerndThis paper provides a summary of our funded cooperation project 'Emission Trade Assistant'. The goal of this almost completed project has been the development of a user-friendly, workflow-based assistant software that guides facility operators through the rather complex and time-consuming course of the EU Emission Trading Scheme (ETS). ETS is one of the European Union's key instruments towards reducing greenhouse gas emissions. During the project, the ITspecific requirements of the German ETS have been analyzed with respect to stationary facilities and and later as well to aviation. Based on this analysis, prototype assistants have been implemented using the .NET-based plug-in framework Empinia, which has also been extended by a re-usable, workflow-based assistant engine. This paper reviews the present results with a focus on the practical lessons learned from the analysis and development.
- KonferenzbeitragImplementation eines Workflow-basierten IT-Assistenten für Anlagenbetreiber im europäischen Emissionshandel(Integration of Environmental Information in Europe, 2010) Joschko, Philip; Page, Bernd; Schmitz, Christian; Denz, NicolasDer Emissionsrechtehandel ist ein marktwirtschaftliches Instrument, mit dem die EU eine Verringerung des CO2Austoßes erreichen will. Der Handel mit Emissionszertifikaten sieht vor, dass Unternehmen der Energiewirtschaft und der emissionsintensiven Industrie, die über festgelegte Vorgaben hinaus CO2 produzieren, Emissionsrechte hinzukaufen müssen. Anlagen, die Einsparungen an CO2-Emissionen erzielen, dürfen hingegen überschüssige Zertifikate verkaufen. Der mit dem Emissionshandel verbundene administrative Aufwand wird von deutschen Anlagenbetreibern besonders häufig als hoch oder sehr hoch empfunden. Ziel des vom Bundesministerium für Bildung und Forschung geförderten Forschungs- und Entwicklungsprojekts „Emission Trade Assistant“ (EmTrAs) ist die Entwicklung einer benutzungsfreundlichen Assistentensoftware zur Unterstützung von Anlagenbetreibern, um deren administrativen Aufwand beim gesetzlich vorgeschriebenen Emissionshandel zu verringern. Im Zentrum der Überlegungen steht hierbei ein innovativer Workflow-basierter Assistentenansatz, der den gesamten Prozess sowie alle Aufgabenstellungen im Emissionshandel aus Sicht der Anlagenbetreiber abbildet. Die Softwareentwicklung für den EmTrAs setzt auf das komponentenbasierte Rahmenwerk Empinia für Microsoft .NET auf, das speziell für die Anwendungsbereiche 'Stoffstrommanagement' und 'Materialeffizienz' entwickelt wurde. Eine besondere Herausforderung ist die Integration einer geeigneten Workflow-Definitionssprache, um zukünftige Änderungen am Workflow einfach und flexibel durchführen zu können. In diesem Beitrag8 berichten wir insbesondere von unseren Erfahrungen, die Microsoft Windows Workflow Foundation zur Modellierung von Dialog-basierten Assistenten (z.B. zur Emissionsberichterstattung) in Empinia zu verwenden.
- ZeitschriftenartikelParticulate Matter Matters—The Data Science Challenge @ BTW 2019(Datenbank-Spektrum: Vol. 19, No. 3, 2019) Meyer, Holger J.; Grunert, Hannes; Waizenegger, Tim; Woltmann, Lucas; Hartmann, Claudio; Lehner, Wolfgang; Esmailoghli, Mahdi; Redyuk, Sergey; Martinez, Ricardo; Abedjan, Ziawasch; Ziehn, Ariane; Rabl, Tilmann; Markl, Volker; Schmitz, Christian; Serai, Dhiren Devinder; Gava, Tatiane EscobarFor the second time, the Data Science Challenge took place as part of the 18th symposium “Database Systems for Business, Technology and Web” (BTW) of the Gesellschaft für Informatik (GI). The Challenge was organized by the University of Rostock and sponsored by IBM and SAP. This year, the integration, analysis and visualization around the topic of particulate matter pollution was the focus of the challenge. After a preselection round, the accepted participants had one month to adapt their developed approach to a substantiated problem, the real challenge. The final presentation took place at BTW 2019 in front of the prize jury and the attending audience. In this article, we give a brief overview of the schedule and the organization of the Data Science Challenge. In addition, the problem to be solved and its solution will be presented by the participants.
- TextdokumentPrediction of air pollution with machine learning(BTW 2019 – Workshopband, 2019) Schmitz, Christian; Serai, Dhiren Devinder; Escobar Gava, TatianeCities worldwide are facing air quality issues, leading to bans of vehicles and lower quality of life for inhabitants. We forecast the air quality for Stuttgart based on expected weather condition. For that purpose, we extract, cleanse, and integrate the DHT22 and SDS11 sensors’ data to feed two different machine learning models for predicting the particulate matter values for the near future.