Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Bauingenieurwesen (103) (remove)
Has Fulltext
- no (103) (remove)
Document Type
- Conference Proceeding (103) (remove)
Keywords
- building information modelling (2)
- 3D printing (1)
- BIM (1)
- Energy system (1)
- Freshmen (1)
- HVAC (1)
- Mixed integer linear programming (MILP) (1)
- Renewable energy (1)
- Sharing mobility (1)
- Smart Building Engineering (1)
Is part of the Bibliography
- no (103)
Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.
Optimierung des potentiellen Sauerstoffeintrags auf Treppenschussrinnen mit gemäßigter Neigung
(2009)
Sensitivity of phase detection techniques in aerated chute flows to hydraulic design parameters
(2012)