Refine
Year of publication
Document Type
- Conference Proceeding (17)
- Article (15)
- Part of a Book (2)
Language
- English (34) (remove)
Keywords
- Central receiver system (2)
- Concentrated solar collector (2)
- Solar concentration (2)
- Energy system (1)
- Fresnel collector (1)
- Mixed integer linear programming (MILP) (1)
- Optical and thermal analysis (1)
- Renewable energy (1)
- Solar dish (1)
- Time-series aggregation (1)
- Typical periods (1)
- concentrating collector (1)
- point-focussing system (1)
- raytracing (1)
- solar process heat (1)
Institute
- Solar-Institut Jülich (34) (remove)
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.