https://mediatum.ub.tum.de/doc/1290946/file.pdf

Optimizing long-term investments for a sustainable development of the ASEAN power system

This thesis studies the effects of increasing shares of variable renewable energies (VREs), such as wind and solar energy, on the European power system and evaluates two VRE system integration measures: transmission grid extensions and energy sector coupling. The results show that important smoothing can be achieved with transmission grid extensions, leading to an increased contribution of VREs to the power supply. Energy sector coupling opens the possibility to use temporary excess electricity in an economic manner. The power-to-heat coupling emerges as the most attractive option. At the same time, it is demonstrated that a more flexible system design reduces the impacts of VREs on the electricity market. The infrastructure measures can thus facilitate the market integration of VREs.

Integration of Variable Renewable Energies in the European power system: a model-based analysis of transmission grid extensions and energy sector coupling

Emission reduction targets as well as the scarcity of fossil resources make a transition of the energy system towards a carbon free electricity supply necessary. Promising energy resources are solar and wind energy. The challenging characteristics of the high temporal and geographic variability of these resources make a systematic analysis of the integration necessary. Subject of this study is the how such a renewable-based energy system ideally should be designed. We investigate the optimal structure of a prospective renewable-based power supply system on two different scales: on the global and on a European level. The paper describes the applied simulation technique employed to combine an adequately precise geographical coverage with high temporal resolution. A linear optimization algorithm determines the cost optimal configuration of the prescribed energy system. As results we obtain ideal energy mixes, generation sites, storage and interregional power transmission capacities required for different scenarios of highly renewable supply.

http://www.wseas.us/e-library/conferences/2010/Cambridge/EE/EE-29.pdf

Optimization of the utilization of renewable energy sources in the electricity sector

The power demand of Indonesia, Malaysia and Singapore is predicted to increase dramatically in the next decades.
Due to abundant reserves of coal and gas in the region, the extensive use of fossil fuels is most likely to cover the future
power demand of these countries, leading to an enormous growth of CO2 emissions. In this paper, we analyse the impact
of restrictions on CO2 emissions on the power supply of Indonesia, Malaysia and Singapore in the year 2035. Based on a reference scenario without restrictions on CO2 emissions, cost-minimal options for a more sustainable power supply with
lower CO2 emissions are developed. In our study, we use a linear programming model that optimises power systems in
hourly time steps by minimising their total generation and transmission cost.
Results show that even without CO2 restrictions, the generation potential of geothermal, hydro and biomass is almost completely used. Without restrictions, CO2 emissions related to power generation increase from 217 mio. tons in 2012 to 944 mio. tons in 2035 as the power generation is strongly based on coal. The construction of gas-fired power plants and solar PV reduces CO2 emissions most cost-efficiently. Further cost-minimised reduction of CO2 emissions requires the installation of wind turbines. The construction of international transmission lines has the potential to save total cost of generation and transmission in the order of some percent.

Modelling a Low-Carbon Power System for Indonesia, Malaysia and Singapore

We present a model of the German electricity system which is able to describe the system in arbitrary spatial and temporal resolution. Due to the high temporal resolution the model generator is particularly suitable to analyse the influence of uncertain and fluctuant parameters like the wind supply to the existing electricity system. Germany is represented by 29 knots within Germany and 13 knots of neighbouring countries. Major transmission lines between these knots are modelled in a stylized manner. The model calculates the optimal capacities as well as the energy flows. We will discuss stochastic programming options as latest extension of the model generator. The stochastic parameters are the fuel costs respectively the CO2 prices. It is also attempted to handle the supply of wind energy in a stochastic way.

Stochastic Model of the German Electricity System

/pdf/losung-energiewirtschaftlicher-probleme-mit-hilfe-linearer-4a9gqvq0x9.pdf

Lösung energiewirtschaftlicher Probleme mit Hilfe linearer Programmierung = Solution of energy problems with the help of linear programming

/pdf/losung-energiewirtschaftlicher-probleme-mit-hilfe-linearer-4c4vkwmahr.pdf

Lösung energiewirtschaftlicher Probleme mit Hilfe linearer Programmierung

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Lösung energiewirtschaftlicher Probleme mit Hilfe linearer Programmierung = Solution of energy problems with the help of linear programming

Lösung energiewirtschaftlicher Probleme mit Hilfe linearer Programmierung