11197 - Power Quality and Industrial Ecology for Smart Manufacturing Modulübersicht
Module Number: | 11197 - module is no longer offered from SS 2020 |
Module Title: | Power Quality and Industrial Ecology for Smart Manufacturing |
Versorgungssicherheit und Industrial Ecology für Smart Manufacturing | |
Department: | Faculty 3 - Mechanical Engineering, Electrical and Energy Systems |
Responsible Staff Member: |
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Language of Teaching / Examination: | English |
Duration: | 1 semester |
Frequency of Offer: | Every summer semester |
Credits: | 6 |
Learning Outcome: | Students will get detailed knowledge about power quality issues and notions of industrial ecology, with practical examples and exercises. |
Contents: | Standards of power quality. Harmonic analysis, Fourier series, DFT, DFT algorithms, Wavelets, Automation of Disturbance Recognition, Sources of harmonic distortion in power systems, Transformers, Rotating Machines, Arcing Devices, Rectifiers, Power Converters, Inverter-Fed Drives, AC Regulators, Compensators, Effects of Harmonic Distortion: Resonances, Harmonic Losses, Power Plant effects, Power of Distorted Waveforms, Fault Conditions, Measurements, Data Acquisition, Equipment, Tests. Mitigation of Harmonics: Active and Passive Filters, Tuned Filters, STATCOM, Hybrid Systems, Harmonic Flows: Direct Harmonic Analysis, Models, Harmonic Impedances of the system. General presentation of industrial ecology. The role of biodiversification in human activity. Industry as living system within living systems. Capability of imitation of the nature. Fundamental laws of industrial ecology. Dynamics of ecosystems, its limitations in industry. Ecological systems and natural systems. Methods and tools of industrial ecology. Industrial metabolism. Modeling of input/output dynamics. Waste prevention, examples. Product-life, service economy. Future concepts. Industrial ecosystems and Eco-Industrial Parks. Examples from power industry, transportation, manufacturing, telecommunication. |
Recommended Prerequisites: | None |
Mandatory Prerequisites: | None |
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Module Examination: | Final Module Examination (MAP) |
Assessment Mode for Module Examination: |
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Evaluation of Module Examination: | Performance Verification – graded |
Limited Number of Participants: | None |
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Remarks: | The lecture will be offered as a block course |
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Phase-out module since: 04.10.2017
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