Auflistung Environmental Informatics 2014 nach Erscheinungsdatum
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- KonferenzbeitragA Risk Management for Agent-based Control of Ancillary Service Provision from Distributed Energy Resources in Smart Grids(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Schnabel, Sabrina-Cynthia; Appelrath, H.-Jürgen; Lehnhoff, Sebastian; Tröschel, MartinWith increasing shares of renewable power generation, conventional power generation from largescale and highly predictable fossil power plants decreases. Reliably substituting these plants depends on distributed energy resources (DER) being able to provide ancillary services such as frequency and voltage control that are necessary for a reliable and stable power supply. In this paper, we present first concepts regarding an agent-based approach for a stable and reliable control of ancillary service provision from DER, and we outline research challenges regarding the management of the economical risk an operator faces when trading active power and ancillary services from DER at energy markets.
- KonferenzbeitragScalable Integration of 4GL-Models and Algorithms for massive Smart Grid Simulations and Applications(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Preisler, Thomas; Balthasar, Gregor; Dethlefs, Tim; Renz, WolfgangThis paper presents a scalable integration approach for algorithms and models written in fourth generation (programming) languages for massive Smart Grid simulations as well as applications. While fourth generation languages (4GL) focus on rapid application development and the reduction of lines of code, they lack of integration and scalability features. Nevertheless, they are widely spread and often used by engineers. The scalable integration of such elements is achieved in this paper by wrapping the 4GL-models and algorithms with established web technologies like RESTful web services and load balancing. The provision of a seamless integration concept allows engineers to focus on rapid application development and liberates them from integration efforts.
- KonferenzbeitragA method for the constrained interpolation of RLE-compressible chemical weather heatmaps(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Epitropou, Victor; Karatzas, Konstantinos; Kukkonen, Jaakko; Karppinen, AriChemical Weather (CW) and other geospatial environmental information produced by numerical models are often published on-line in the form of heatmaps which have undergone several lossy processing and transformation steps, resulting in a relatively low visualization and recoverable data, compared to the model data which generated them,. In this paper, a method which is finetuned to the partial reconstruction of such chemical weather data starting from discrete-level heatmaps is presented, which relies on the augmentation of ordinary interpolation methods through the use of peak-limiting functions and other constraining methods.
- KonferenzbeitragTowards a semantic framework for wildlife modeling(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Athanasiadis, Ioannis N.; Villa, Ferdinando; Examiliotou, Georgina; Iliopoulos, Yorgos; Mertzanis, YorgosIn this paper we present work in progress for developing a semantic modeling system for wildlife monitoring, management and conservation. Based on a Greek NGO experience in large carnivores conservation in the mountain ecosystems of northern Greece, we present a generic architecture for wildlife information fusion, sharing and reuse. Our framework employs ontologies for representing the key domain concepts and their relationships, and applies them for integrating sensory information from GPS/GSM animal tracking devices, along with other field data and habitat suitability models.
- KonferenzbeitragA Master Program on Engineering Energy-Aware Software(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Lago, PatriciaSoftware-intensive systems support most if not all aspects of modern society and in all industrial sectors. Because of software’ pervasiveness and crucial role, its energy consumption and impact on sustainability cannot be neglected anymore. As computing resources are necessary to run software, and as software runs more and more globally (e.g. in data centers and by cloud providers), time has come to engineer energy-aware software. This means educating current professionals and future generations with the appropriate skills and competencies. This paper describes the design of our program in “Software Engineering and Green IT” within our Computer Science curriculum and extending our Master Track in Software Engineering. We also introduce four types of modules that we defined to design our program, and for each type discuss the underlying rationale, learning objectives, risks and related mitigations, with the idea to offer them as building blocks for other educators.
- KonferenzbeitragHow GIS can help to promote safe cycling(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Loidl, MartinGeographical information systems (GIS) offer an integrated platform for relating, modeling and analyzing multiple perspectives on the road space. They can thus be employed in all stages of better understanding bicycle safety from an explicitly spatial perspective and provide the basis for informed decisions in the context of cycling promotion. In the following it is briefly sketched why safety issues need to be addressed in all cycling promotion initiatives. It is further shown how GIS can be employed in accident analysis and integrated safety risk models and how these single steps can be consolidated in a single workflow. The benefit of employing GIS in this context is demonstrated in a case study where a GIS modeling approach forms the basis of a routing application which recommends safe routes for bicyclists. Based on experiences from the case study and findings from literature a brief outlook describes the road ahead.
- KonferenzbeitragApplying the Smart Grid Architecture Model SGAM to the EV Domain(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Uslar, Mathias ; Trefke, JörnWithin this contribution, we will introduce the so called Smart Grid Architecture Model (SGAM) which has been developed in the European Commissions’ M/490 mandate. After having proved successful in dozens of projects and especially standardization, the SGAM can be considered as state of the art to document smart grid architectures on a high level. However, as electric mobility is a part of the overall Smart Grid, a better fit to this domain can be achieved with tailoring the SGAM to an Electric Mobility Architecture Model (EMAM). This paper outlines the transfer process, an overview on standards to be applied and a final recommendation how to use the EMAM in context with existing SGAM processes.
- KonferenzbeitragDurchführung einer Eyetracking-Studie zur Optimierung der Usability einer nachhaltigen Produktsuche(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Hemke, Felix; Wohlgemuth, Volker; Schneider , Maximilian; Stanszus, MauriceThis Paper focuses on improvements of the web page WeGreen.de from a usability perspective. This sustainable search engine for products was tested as a case study using the eye tracking method. The main question behind the study was to evaluate the social impact of the sustainability indicator of WeGreen, i.e. if people intuitively trust this indicator and if it leads to a more ecological or social buying decision. The combination of the usability research project KOMET and the ongoing development of Environmental Management Information Systems at the HTW Berlin mean a convenient situation for small and medium sized enterprises which needs proceedings for user friendly software solutions. An introduction in the field of usability studies, the case study itself and its results shall follow.
- KonferenzbeitragGroundwater data management system(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Nešet?il, Kamil; Šembera, JanWe have developed a system to manage groundwater data (geology, hydrology and geochemistry). The system is flexible, readily extensible and adaptable. It can load data in different formats. Loading and cleaning the data is performed by an ETL tool Pentaho Data Integration (aka. Kettle). The coordinates are converted by GeoKettle (spatial fork of Kettle). The database PostgreSQL uses our own data model. Groundwater specialists can visualize data in EnviroInsite desktop software. A non-specialist can visualize data in a web application. Non-point spatial data is stored in a spatial database (PostGIS) and served via a map server (GeoServer) as a map service to our web application or to any geographic information systems (GIS). We have successfully used tools for business intelligence and spatial data infrastructure.
- KonferenzbeitragTime Series Scenario Composition Framework in Supporting Environmental Simulation Tasks(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Li, Chi-Yu; Molkenthin, FrankTo answer the impacts under specific what-if scenarios together with simulation tools has been demanding in different environmental problems. In this contribution, a general software framework for time series scenario composition is proposed to deal with this issue. It is done through providing an interface to process available raw time series data and to compose scenarios of interest. These composed scenarios can be further converted to a set of time series data, e.g. boundary conditions, for simulation tasks in order to investigate the impacts. This software framework contains four modules: data pre-processing, event identification, process identification, and scenario composition. These modules mainly involve Time Series Knowledge Ming (TSKM), fuzzy logic and Multivariate Adaptive Regression Splines (MARS) to extract features from the raw time series data and then interconnect them. These extracted features together with other statistical information form the most basic elements, MetaEvents, for the semi-automatic scenario composition. Besides, a software prototype with two application examples containing measured hydrological and hydrodynamic data are used to demonstrate the benefit of the concept. The results present the capability of reproducing similar time series patterns from specific scenarios comparing to the original ones as well as the capability of generating new artificial time series data from composed scenarios based on the interest of users for simulation tasks. Overall, the framework provides an approach to fill the gap between raw data and simulation tools in engineering suitable manner.