ECTS
ECTS Course Catalogue
Course details
Course code: OŹES20120o16Semester: 2016/2017 summer
Name: Optimization of exploitation in energetics
Major: Renewable Energy and Waste Management
Study Type: second cycle
Course type: compulsory
Study Semester: 1
ECTS points: 5
Hours (Lectures / Tutorials / Other): 15 / 30 / 0
Lecturer: Dr inż. Przemysław Bukowski
Language of instruction: Polish
English possible
Learning outcomes: Knowledge: He has an extended knowledge in the field of environmental protection, saving and storing energy by improving energy efficiency by optimizing heating systems and technologies R2 OŹE_W9, R2 OŹE_W10 He has detailed knowledge based on strong theoretical foundation for the design and operation of systems and equipment used for the acquisition and use of renewable energy sources. He can optimize their work. R2 OŹE_W12a Skills: He can identify and determine the specificity of engineering tasks and to develop documentation regarding the optimization of the equipment or system knows how to prepare a text containing a discussion of the results to optimize the operation of the device or process R2OŹE _U03 Student is able to solve problems based on standard engineering activities, operational problems associated with the operation of power equipment, taking into account the requirements associated with care for the environment. R2OŹE _U11
Competences: Social competences: He can make a careful analysis of your task for determining the appropriate priorities for issues related to the optimization R2OŹE _K02
Prerequisites: Thermodynamics, Physics, Acquisition of energy from renewable sources
Course content: Formal and legal issues, principles and algorithms to optimize the operation of the equipment in the energy sector. Systems of low-carbon heating systems. Heat transfer through the insulation and the heat balance of the building. Optimizing the thickness and type of insulation. Optimizing power equipment: fans, pumps, radiators, heat recovery units, heat exchangers, boilers, furnaces, etc. Automation optimization. Economic and environmental aspects at the optimization.
Recommended literature: 1. Kalyanmoy Deb, Lother Thiele, Marco Laumanns, Eckart Zitzler – “Scalable Multi-Objective Optimization Test Probems” 2002 2. Eckart Zitzler – “Evolutionary Alghorithms for Multiobjective Optimalization” 2001 3. Kalyanmoy Deb, Lother Thiele, Marco Laumanns, Eckart Zitzler, Emo Welzl – “Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimalization problem” 2002 4. Eckart Zitzler – “Evolutionary algorithms for multiobjective optimalization” 2002 5. Eckart Zitzler, Marco Laumanns, Stefan Bleuler – “A Tutorial on Evolutionary Multiobjective Optimalization” 2003 6. Halina Kwaśnicka – “Ewolucyjna optymalizacja wielokryterialna” 2000 7. Katedra Automatyki AGH – „Optymalizacja wielokryterialna” 1999 8. Carlos A. Coello – „An Updated Survey of GA-Based Multiobjective Optimalization Techniques” 9. Romański L.: Odnawialne źródła energii, Skrypt, Oficyna Wydawnicza ATUT, Wrocław 2013. 10. Lewandowski. W. Proekologiczne źródła energii odnawialnej. WNT Warszawa
Assessment methods: Assessment of education effects in terms of knowledge: credit of written exam, credit of all tutorials/projects. Assessment of education effects in terms of skills: credit of calculations, projects and/or reports, results analysis and interpretation of collected data, argumentation of selected choices, oral presentation. Assessment of education effects in terms of social competences: individual work, team work, selection of arguments, ecological consciousness, copyrights respect, responsibility for entrusted task, conscientiousness in the preparations for task realization.
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