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Institute of Environmental Technology and Energy Economics
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IUE > Research > Equipment > Software

Software Equipment

Python for Power System Analysis

Python for Power System Analysis

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ArcGIS and ERDAS Imagine

ArcGIS and ERDAS Imagine

A geographic information system (GIS) is a computer-aided system that represents the real world as a model. The earth's surface is reduced to points, lines and surfaces and displayed digitally as geographic vector data in cartographic form. The properties of the geographical objects are also stored as descriptive data. In addition, data can be stored in the form of images and these can be analyzed manually and semi-automatically with the software (e.g. areas and object recognition). A GIS offers the possibility of creating, displaying, changing, querying, analyzing and outputting this spatial data (geodata) and making it available to other applications, e.g. for concept development and simulation.
A GIS is thus capable of linking any database-compliant digital data with geographical data and displaying it graphically. Both programs are used at the institute in the BERBION project. In ArcGIS, the geodata of the real estate cadastre, the biotope cadastre, the tree cadastre as well as aerial photographs, land use data, data for route planning and waste collection are stored and linked with the data of the bioresource inventory. This allows the bioresource flows to be displayed and used for the development of logistics and recycling concepts. In addition, area-related parameters of the individual bioresources are stored so that the bioresource potentials of similar areas can also be determined using the geodata. With the ERDAS Imagine software, different areas, e.g. lawns in residential areas, can be identified and separated by means of a so-called "supervised classification" and the "maximum likelihood" method by specifying the respective colour spectra and object recognition on aerial and satellite images. By determining the respective area sizes, the bioresource potentials can be determined using the associated parameters stored in the database.

 

Aspen Plus

Aspen Plus

Aspen Plus enables object-oriented modeling of process and energy engineering processes. Based on an extensive material database, Aspen Plus offers the possibility of flow diagram simulations with either sequential-modular or equation-oriented calculation of the mass and energy balance. The program is widely used in industry and research.
At the Institute of Environmental Technology and Energy Economics, Aspen Plus is used in particular to carry out technical analyses for the calculation of mass and energy balances. Exemplary applications include the modelling and optimization of geothermal power plants, integrated biorefineries and processes for biomass gasification and synthesis gas utilization.

Consideo Process Modeler

Consideo Process Modeler

The Consideo Process Modeler uses the "networked thinking" approach to simulate and forecast planning-related and process engineering processes. By networking the individual system components, similar to neural networks, and incorporating qualitative data, there are advantages over purely quantitative modeling methods, especially for management processes with a sustainability focus. For example, the social impact of planning processes can be analyzed and corresponding solution strategies for any negative effects on people and the environment can be identified. The Consideo Process Modeler 7.5 is currently being used at the IUE to optimize the management process of contaminated sediments, taking into account ecological, economic and social aspects.

 

jsmaa

jsmaa

The "jsmaa 0.8.6" software is a decision support and analysis tool that incorporates multi-criteria data. The "jsmaa" software uses various mathematical algorithms to make a computer-aided selection of one or more alternative courses of action in the decision-making process. The aim is to determine the optimal course of action from the available options and case-specific management strategies. This purely formal mathematical approach can support decision-making processes and, if necessary, develop new problem-solving strategies. The IUE is currently developing various software models for jsmaa 0.8.6 to support decision-making processes in the context of sustainable sediment management of contaminated dredged material.

SPSS

jsmaa

The "jsmaa 0.8.6" software is a decision support and analysis tool that incorporates multi-criteria data. The "jsmaa" software uses various mathematical algorithms to make a computer-aided selection of one or more alternative courses of action in the decision-making process. The aim is to determine the optimal course of action from the available options and case-specific management strategies. This purely formal mathematical approach can support decision-making processes and, if necessary, develop new problem-solving strategies. The IUE is currently developing various software models for jsmaa 0.8.6 to support decision-making processes in the context of sustainable sediment management of contaminated dredged material.

TRNSYS

TRNSYS

TRNSYS is a flexible graphics-based software environment that was developed for the simulation of dynamic systems. It is mainly used in building simulation and provides a large library of technical building components that can be integrated into a dynamic building model in an object-oriented manner and linked together. At the institute, the program is used for the holistic optimization of the energy supply of industrial buildings. The modeling of the building envelope of an industrial hall is coupled with the modeling of the technical systems of a corresponding hall energy supply and the overall model is subjected to an annual simulation.

TU Hamburg
Institute of Environmental Technology and Energy Economics (IUE)
Prof. Dr.-Ing. Martin Kaltschmitt
Eißendorfer Str. 40
Hamburg
E-mail : iue@tuhh.de
Phone : +49 (0) 40 42878-3208
Fax : +49 (0) 40 427-3-14571
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