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Training Sessions 2019 (choose one)

1) Modeling Resource Markets: Advanced Methods of Operations Research

This course investigates strategic interactions in energy resource markets and covers advanced optimization and equilibrium concepts to solve the associated models. It aims to provide participants with a strong theoretical understanding of Generalized Nash games, leader-follower Stackelberg games, and the related mathematical concepts of (Quasi-) Variational Inequalites (VI and QVI), Mixed Complementarity Problems, and Mathematical/Equilibrium Problems under Equilibrium Constraints (MPEC/EPEC). The practical part of the course covers applications of these methodologies to energy market problems, based on examples from the recent literature, and case studies in the oil, natural gas, and coal sector. Participants are expected to have a basic 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: Prof. Sauleh Siddiqui, PhD, Assistant Professor at the Whiting School of Engineering Co-Director of the Center for Systems Science & Engineering at Johns Hopkins University, Baltimore.

Junior trainers: Dawud Ansari, German Institute for Economic Research (DIW Berlin) and Energy Access and Development Program (EADP) and Chris Hauenstein, Berlin University of Technology and CoalExit research group.

2) Water Economics

This course provides a comprehensive introduction to the field of water economics and water-pricing, including environmental, social, and regulatory issues. The course provides an introduction into the technical and economic analysis of water (availability, flows, stocks, etc.) and then includes theories on Integrated Water Resource Management (IWRM), water tariffs and social welfare under scarcity, and transboundary water resource management. The course’s practical part covers applications of the presented methodologies. Participants will prepare case studies on water related issues from recent literature, amongst them ecological sanitation, downstream externalities, water quality trading, etc.

Trainers: Prof. Dr. Georg Meran (lead instructor), Professor and Markus Siehlow, Senior Researcher at the Workgroup for Environmental Economics and Policy at the Berlin University of Technology.

Junior trainers: Maximilian Reinhardt and Gero Scheck, Research Assistants, Berlin University of Technology.

3) Applied Econometrics in Environmental and Sustainability Economics

This course provides a broad introduction to microeconometric empirical methods for economists, focusing on applications in environmental economics and related fields. The target audience are advanced masters and early doctoral students. Completing the course will contribute to providing the basis so that students can conduct independent empirical research at the advanced masters/doctoral level. We expect that students have completed a graduate-level introduction to econometrics and statistics. Basic knowledge of microeconomic theory will also be expected. A more specialized background in microeconometrics will be an advantage. The course consists of four intensive days of classes, with four 90-minute sessions per day. Sessions will consist of theoretical work and applications.

Trainers: Dr. Aleksandar Zaklan (lead instructor), Nicole Wägner, Alejandro Sarmiento, Dr. Astrid Cullmann, et al., Senior Researchers at the German Institute for Economic Research (DIW Berlin), and Berlin University of Technology, respectively.

4) Computable General Equilibrium and Energy System Analysis

The course introduces students to numerical modeling of energy systems in a general equilibrium context. This topic is particularly important when studying the low-carbon transformation of energy systems at the regional, national, European, and global level. Students are first introduced into the basic of mathematical formulations and data requirements for bottom-up electricity as well as computable general equilibrium models. Afterwards, we study hard-coupling of these models, i.e., integrate the electricity into the CGE model. Finally, the decomposition method is studied reaching a common equilibrium iterating over the models. Participants are expected to have basic knowledge of equilibrium theory or energy modeling.

Trainer: Dr. Jan Abrell, Senior Researcher at the Center for Energy and Environment at ZHAW School of Management and Law, Winterthur and ETH Zurich, and Dr. Mohammad.Khabbazan, University of Hamburg, and Visiting Scholar, German Institute for Economic Research (DIW Berlin).

Junior trainer: Luis Alejandro Sarmiento, Berlin School of Economics (BSE) and German Institute for Economic Research (DIW Berlin).

5) Stochastic Electricity Market Modeling with Applications to Peer-to-Peer Trading

The course provides and introduction on stochastic market design advances, for both transmission (wholesale) and distribution (retail) applications, with a focus on peer-to-peer trading (P2P). We will cover both conceptual issues, linking electrical engineering, mathematics, and economics, with real-world applications on market design, pricing, and network regulation in decentral electricity markets. Examples and case studies cover the Brooklyn L03 micro grid, London, a swarm grid in Bangladesh, and others.

Trainer: Prof. Yury Dvorkin, PhD, Assistant Professor at the Tandon School of Engineering at New York University.

Junior trainers: Mario Kendziorski, Richard Weinhold, and Jens Weibezahn, Berlin University of Technology.

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