Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context: Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context

This dissertation focuses on selected issues in regard to the mathematical modeling of electricity markets. In a first step the interrelations of electric power market modeling are highlighted a crossroad between operations research, applied economics, and engineering. In a second step the development of a large-scale continental European economic engineering model named ELMOD is described and the model is applied to the issue of wind integration. It is concluded that enabling the integration of low-carbon technologies appears feasible for wind energy. In a third step algorithmic work is carried out regarding a game theoretic model. Two approaches in order to solve a discretely-constrained mathematical program with equilibrium constraints using disjunctive constraints are presented. The first one reformulates the problem as a mixed-integer linear program and the second one applies the Benders decomposition technique. Selected numerical results are reported

Will the Market Get it Right? The Placing of New Power Plants in Germany

This paper applies ELMOD, an economic-engineering model of the European electricity market to the issue of optimal investment placing of generation capacity in Germany under different market integration scenarios. The model is formulated as cost minimization approach. We conduct a scenario analysis comparing different rules for power plant placing in a national, a market-coupling and an integrated EU market approach. We find that there are great benefits for consumers and producers if taking into account network conditions and cross border congestion in generation location planning. Moreover a change from national planning to an integrated market planner perspective shows even more improvements in prices and network utilization

ELMOD - A Model of the European Electricity Market

This paper provides a description of ELMOD, a model of the European electricity market including both generation and the physical transmission network (DC Load Flow approach). The model was developed at the Chair of Energy Economics and Public Sector Management (EE2) at Dresden University of Technology in order to analyze various questions on market design, congestion management, and investment decisions, with a focus on Germany and Continental Europe. ELMOD is a bottom-up model combining electrical engineering and economics: its objective function is welfare maximization, subject to line flow, energy balance, and generation constraints. The model provides simulations on an hourly basis, taking into account variable demand, wind input, unit commitment, start-up costs, pump storage, and other details. We report selected study results using ELMOD

Membrane chromatography cassettes for bind and elute applications of viruses and large proteins

For flow-through polishing applications, membrane adsorbers have become a well-established technology. However, there is an increasing demand for bind and elute purifications for larger targets as adeno- and lentiviruses, virus like particles (VLP) and influenza. The reason is the higher binding capacity of macroporous membranes compared to conventional resins having much smaller pores and excluding them by size. But capture applications with such devices suffered from the current size limitation of 5 liters. Here we describe a modular cassette system which has been tested for scale-up and flow performance in comparison with void volume optimized capsules. The goals were to create a system up to 20 L membrane volume which can be optionally expanded to ~100 liter and, be able adapt exactly to the size needed (modular), using the same 4 and 8 mm bed height as the capsules and membranes for single- or intra batch re-use

ELMOD - A Model of the European Electricity Market

This paper provides a description of ELMOD, a model of the European electricity market including both generation and the physical transmission network (DC Load Flow approach). The model was developed at the Chair of Energy Economics and Public Sector Management (EE2) at Dresden University of Technology in order to analyze various questions on market design, congestion management, and investment decisions, with a focus on Germany and Continental Europe. ELMOD is a bottom-up model combining electrical engineering and economics: its objective function is welfare maximization, subject to line flow, energy balance, and generation constraints. The model provides simulations on an hourly basis, taking into account variable demand, wind input, unit commitment, start-up costs, pump storage, and other details. We report selected study results using ELMOD

When the Wind Blows Over Europe: A Simulation Analysis and the Impact of Grid Extensions

Given the ambitious, politically-driven wind energy agenda in some U.S. States (e.g., California and Texas) and in Europe (e.g., Germany and Spain), adequate regulatory instruments are needed that provide incentives for additional generation capacity and transmission expansion. This paper analyzes the impact of wind energy extension scenarios in 2020 on the European high voltage grid, using a nodal pricing mechanism and assuming expanded wind generation capacity. Our analysis is based on a DC Load Flow network model that is implemented in GAMS. The results show that the necessary network extensions mostly arise from existing congestion, particularly between countries, and that additional wind capacity can be integrated with relatively little effort. We conclude that the regulatory implications of additional feeding-in of wind energy are less critical than often asserted

When the Wind Blows Over Europe: A Simulation Analysis and the Impact of Grid Extensions

Given the ambitious, politically-driven wind energy agenda in some U.S. States (e.g., California and Texas) and in Europe (e.g., Germany and Spain), adequate regulatory instruments are needed that provide incentives for additional generation capacity and transmission expansion. This paper analyzes the impact of wind energy extension scenarios in 2020 on the European high voltage grid, using a nodal pricing mechanism and assuming expanded wind generation capacity. Our analysis is based on a DC Load Flow network model that is implemented in GAMS. The results show that the necessary network extensions mostly arise from existing congestion, particularly between countries, and that additional wind capacity can be integrated with relatively little effort. We conclude that the regulatory implications of additional feeding-in of wind energy are less critical than often asserted