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Optimal design of energy conversion units for residential buildings considering German market conditions
- Source :
- Energy. 139:895-915
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Many countries have passed governmental action plans to support the installation of renewable energy sources. However, most studies dealing with the optimization of building energy systems neglect a precise modeling of such subsidies, although these subsidies are specifically designed to strongly influence system setups. Therefore, this paper extends a model for the optimization of energy systems by a more accurate consideration of storage units and enhance both models by accounting for major German pieces of legislation aimed at supporting renewable energies. Additionally, we consider typical German market characteristics, in particular the availability of multiple gas and electricity tariffs. We compare our model with the original formulation regarding a pure cost minimization and a forced reduction of CO2 emissions for three new buildings located in Germany. The results imply that the considered subsidies strongly support the installation of PV modules and CHP units. Without these subsidies, batteries and solar thermal collectors become more important. Additionally, the findings illustrate that the new storage model is slightly more accurate, but only marginally affects the total annual costs and required computing times. The conducted sensitivity analysis has shown that the obtained results are relatively robust to variations in energy tariff costs and demands.
- Subjects :
- Optimal design
Engineering
business.industry
020209 energy
Mechanical Engineering
Tariff
Subsidy
02 engineering and technology
Building and Construction
Environmental economics
Pollution
Storage model
Industrial and Manufacturing Engineering
Renewable energy
General Energy
020401 chemical engineering
0202 electrical engineering, electronic engineering, information engineering
Energy transformation
Operations management
Minification
Electricity
0204 chemical engineering
Electrical and Electronic Engineering
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 139
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........e7c948f926b4966e2e91749c5408d65d