Abstract
This contribution investigates how different technology modeling methodologies affect the design of decentralized multi-energy systems, especially when fuel cell and energy storage are considered. First, thermoelectric models based on a first-principle approach are implemented to determine the performance and dynamic behavior of a set of conversion technologies. Then, as such nonlinear models are intractable within mixed-integer linear programming for the optimal design of multi-energy systems, simplified linear models suitable are developed. In particular, an affine and a piecewise affine approximations of the conversion efficiency are compared, and a linear description of the system dynamics is implemented. An optimization problem is formulated to investigate the impact of these modeling approximations on the design of integrated residential systems.
| Original language | English |
|---|---|
| Pages (from-to) | 1407-1413 |
| Number of pages | 7 |
| Journal | Energy Procedia |
| Volume | 142 |
| DOIs | |
| Publication status | Published - 2017 |
Funding
The work was supported by the National Research Program ”Energy Turnaround” (NRP70) of the Swiss National Science Foundation (SNSF), in the framework of the IMES project.
Keywords
- Cogeneration
- Energy conversion
- Energy Efficiency
- Energy storage
- Linear programming
- Optimization
