Master's thesis Jan ReinhardtCopyright: EBC
Decentralized energy conversion systems i.e. photovoltaics (PV), heat pumps (HP) and Combined Heat and Power units (CHP), have the potential of reducing the greenhouse gas emissions in comparison to conventional boilers and centralized electricity production.
The trade-off between investment costs and cost savings during operation represents the main driver for an economical application of these technologies, which is highly dependent on the choice and combination of the different technologies, energy prices and financial support due to the EEG-act and co-generation act, respectively.
The work addresses this trade-off by formulating a Mixed Integer Linear Program for designing an energy system in residential buildings under economical criteria based on Guideline VDI 2067. The Objective of the optimization is to minimize the annual costs, comprising investment costs of the technologies as well as demand- and operation- related costs.
The Considered technologies are HPs, CHPs, boilers, electrical heaters, thermal storages and PVs. Electricity is assumed to be bought and sold to the grid under the conditions of German feed-in tariffs. In a further step, this modeling approach on house level is extended to a holistic approach, in which several residential buildings can be connected to a local heating network.
Different scenarios are set up, to investigate the economical and ecological impacts of the determined energy systems.