Energy planning: modeling and decision support systems
Weekly outline
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I am pleased to welcome you to this doctoral course that is in some extent particular. While it may be expected from a doctoral course to be very focused, this lecture is multidisciplinary. Planning requires knowledge in economics, techniques, environment sciences, and also social sciences. Mathematical programming is used as well, but as a means rather than a goal. I hope that you will enjoy this Russian salad !
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Proposed schedule
12 May: Assignments of the case study
15 May: First part of the case study
27 May: Second part of the case study
28 May: Presentation of the results
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Chapter 1: Introduction to Energy Economics and Modeling
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Chapter 2: Energy Demand/Supply Adequacy - Case of Electricity
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Chapter 3: Modeling externalities of Energy
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Least cost Planning
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Chapter 5: Market oriented Planning
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Chapter 6: Renewable and intermittent sources
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Case study
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Case study
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Workshop 1: Presentation of the readings
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Workshop 2: Presentations by each group of the results of the case study and general discussions