Master's Thesis Sebastian Remy


Evaluation of a complex energy system using a suitable visualization approach

MA Remy Copyright: EBC

State support programs have a major impact on the installation of energy-related components and are therefore an important fiscal tool for achieving climate protection goals.

In the present thesis, a model for investigating the influence of subsidy programmes to the technology selection for energy systems of residential buildings is presented.

For this purpose, an optimization model will integrate the potential for promotion by the Act on Combined Heat and Power Generation, the Renewable Energy Sources Act, the Market Incentive Program and a support program for batteries by the KfW-Bank in the optimization process.

The analysis of the subsidy programmes takes place on a decentralized as well as on a central supply level.

In order to increase the practical applicability of the used program, various possibilities for model simplification as temporal discretization, a simplified part-load description and a continuous device selection are investigated.

The observed aspects lead to a time saving of 99% with a loss of accuracy of maximal 5%. In eight of the ten buildings under investigation, the deviations can be kept below 3%.

For decentralized systems, the implemented subsidy programs, apart from financial savings of up to 30%, lead to a considerable expansion of photovoltaics and solar thermal energy. In combination with increased use of heat pumps, emission savings between 20 and 130% are possible depending on the scenario considered.

On the other hand, the results show that the current subsidies for battery storages and combined heat and power plants are not sufficient to make an application interesting at the building level from an economic perspective.

With regard to central supply scenarios, it is shown that these can be associated with significant economic and environmental advantages in the case of sufficient population densities compared to conventional supply strategies. Depending on the scenario, consideration of subsidies will lead to reductions in emissions and costs of up to 25%.