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TU Berlin

Inhalt des Dokuments

Training Sessions 2014 (choose one)

1) Resilience of Transportation Systems under Stress: Modeling Techniques and Numerical Applications

The resilience of critical infrastructure systems to major disruptions events is one of the fastest growing research and policy areas, and is relevant to both developed countries and the developing world. This course will focus on the quantification of resilience and other related measures, such as robustness and inherent coping capacity, of such systems under multiple hazard types. The main focus will be on goods and passenger transportation systems, while considering bidirectional effects of interdependencies with other critical lifelines and the larger supply chain. Quantitative techniques of operations research for modeling and analyzing networked systems with stochastic attributes will be reviewed and applied. Additionally, mathematical frameworks for optimizing investments in protective, as well as adaptive actions, in these systems will be examined. Among the real-world applications that will be discussed are resilience of the Polish Port of Swinoujscie, U.S. healthcare network and others. Participants should have thorough knowledge of basic methods of Operations Research, such as linear and integer programming, introductory background in stochastic optimization, multi-objective decision making, and bilevel programming, and basic skills in standard economic modelling software (Matlab, GAMS).

Trainer: Ph.D. Elise Miller-Hooks, Professor of Civil & Environmental Engineering, University of Maryland and Adjunct Professor, Department of Structural Engineering, Ben Gurion University and Appointed Chair of the Transportation Network Modeling Committee of the Transportation Research Board of the National Academies of Sciences.http://www.millerhooks.umd.edu.

 

 

2) Advanced Electricity Sector Modeling

This course provides an overview of numerical modeling of the electricity sector. It includes modeling of short-term dispatch, congestion management, and transmission network investment. The participants will be acquainted with a specific modeling tool: ELMOD2.0, a GAMS-based optimization model, including comprehensive data at the national and European level. Participants need previous GAMS-programming experience and be familiar with European electricity sector issues.

Trainer: Dr. Friedrich Kunz, Senior Researcher at DIW Berlin, and one of the developers of ELMOD; he has many years of experience applying it to different regions and analytical problems, such as congestion management, renewable integration, and cross-border network expansion. http://www.diw.de/staff/kunz.

 

3) One and Two-Level Energy Market Equilibrium Modeling (Electricity, Natural gas, Renewables)

This course investigates strategic interaction in energy markets and covers several optimization and equilibrium concepts to solve the associated models. We aim to provide (PhD-) students with a strong theoretical understanding of Generalized Nash games and leader-follower Stackelberg games, and the related mathematical concepts of (Quasi-) Variational Inequalites (VI and QVI), Mixed Complementarity Problems (MCP), Mathematical/Equilibrium Problems under Equilibrium Constraints (MPEC/EPEC). Applications of these methodologies to energy market problems will be covered in the practical part of the course, based on examples from recent literature.

Participants should have a thorough knowledge of nonlinear optimization, mixed complementarity problems, Karush-Kuhn-Tucker conditions and convexity in higher dimensions as well as hands-on experience in GAMS.

 

Trainers:

Dr. Steven A. Gabriel, Professor of Operations Research, University of Maryland, Research Professor at DIW Berlin, Adjunct Professor at NTNU Trondheim, and co-author of the book “Complementarity Modeling In Energy Markets” (Springer). www.stevenagabriel.umd.edu.

 

Dr. Daniel Huppmann, Researcher at DIW Berlin; his work focuses on modelling strategic behaviour and market power in energy markets combining advanced Operations Reseach methods, game theory and energy economics. Applications include articles on crude oil and natural gas markets, as well as investments in the electricity network. http://www.diw.de/staff/huppmann.

 

4) Efficiency Analysis of Municipal Services & Infrastructure

These companies operate under an increased pressure to reduce costs with intensive competitive and regulatory pressures. Our course provides an overview of theory-based empirical methods to understand the particular decision making behavior of municipal infrastructure companies: Besides reviewing production theory and general principles of efficiency analysis, this course focuses on the theoretical concept of rational inefficiency and its empirical application. Furthermore, state of the art econometric methods and advanced methods of efficiency analysis are introduced and applied to firm level panel data. Application will assess the effects of mergers on efficiency and cost reduction potentials, and investment behavior of the companies under incentive regulation.

Participants should have a thorough knowledge of micro econometrics, nonparametric and parametric efficiency analysis and the software R.

Trainer: Dr. Peter Bogetoft, Professor of Applied Micro Economics at Copenhagen Business School and visiting Professor of Economics at Yale School of Management. His research includes i.a. decision, game and contract theory, performance evaluation and benchmarking. He has been involved in a series of projects with industry and governmental bodies with respect to regulation and benchmarking.http:/www.cbs.dk/en/staff/pbeco.

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