Energy planning: modeling and decision support systems
Aperçu des semaines
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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
10 May: Introduction to Energy Economics
Case study
11 May: Energy demand and supplyCase study
12 May: Modeling externalities of Energy
Case study
13 May: Least-cost planning
Case study
17 May: Market-oriented planning
18 May: Intermittent sources
Case study19 May: Presentation by the students of their readings - Case study
20 May: Presentation by the students of their readings - Case study
24 May: Case study
25 May: Case study13 June: Report of the case study sent by email
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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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Presentation of the readings
Case study
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Presentation of the readings
Case study
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Case study
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Case study
