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TU Berlin

Inhalt des Dokuments

Training Sessions 2015 (choose one)

1) Advanced Electricity Sector Modeling: Facing the Challenge of Low-Carbon Transformation

The electricity sector is currently undergoing restructuring, with a higher focus on lower-carbon generation, the integration of high shares of renewables, and increased integration between electricity and other sectors, e.g. mobility and heat. This course provides an overview of numerical modeling of the electricity sector undergoing the low-carbon transformation. The participants will be acquainted with a specific modeling tool: ELMOD, 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: Jonas Egerer, Senior Researcher at DIW Berlin, Researcher at TU 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.



2) Modelling Resource Markets: Advanced Methods of Operations Research

This course investigates strategic interaction in energy resource 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, and case studies in the oil, natural gas, and coal sectors.

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


Trainer: Ph.D. Sauleh Siddiqui, Assistant Professor at the Whiting School of Engineering and is on the leadership council of the Systems Institute at Johns Hopkins University, Baltimore.



3) Efficiency Analysis of Infrastructure Companies

IMPORTANT: There will be a pre-event on the 1st of October. Please contact Dr. Maria Nieswand and Stefan Seifert for more information.

This course focuses on recent advances in (semi)parametric measurement of productivity and efficiency in production. The methodological discussion includes cross-section and panel data approaches as well as different ways of incorporating determinants of production and inefficiency. The methods are applied to firm level data of public and private infrastructure companies, which are frequently subject to regulatory oversight and benchmarking. Within the empirical analysis of these companies, special attention will be put on the differences in ownership and governance, firms’ capital structure, and their investment behavior.

Participants should have a thorough knowledge of micro-econometrics, nonparametric and parametric efficiency analysis and the software R. Knowledge of STATA is recommended.

Trainer: Ph.D Subal Kumbhakar, Professor Kumbhakar is distinguished Professor of Economics at the University of Binghamton, New York State. His main area of research is applied microeconomics with a focus on efficiency estimation. His works is mainly based on micro data with a special focus on panel data models and their application in various industries, as e.g. banking, electricity generation and distribution, and agriculture. His research has been published in the leading econometric journals, as e.g. Econometrica and the Journal of Econometrics, but also in various leading field journals, as e.g. Journal of Productivity Analysis, Energy Economics and the American Journal of Agricultural Economics.


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