Activities per year
The continuous increase of (volatile) renewable energy production and the coupling of different energy sectors such as heating, cooling and electricity have significantly increased the complexity of urban energy systems. Such multi-energy systems (MES) can be operated more efficiently with the aid of optimization-based energy management systems (EMS). However, most existing EMS are tailor-made for one specific system or class of systems, i.e. are not generally applicable. Furthermore, only limited information on the actual savings potential of the usage of an EMS under realistic conditions is available. Therefore, this paper presents a novel modular modeling approach for an EMS for urban MES, which also enables the modeling of complex system configurations. To assess the actual savings potential of the proposed EMS, a comprehensive case study was carried out. In the course of this the influence of different user behavior, changing climatic conditions and forecast errors on the savings potential was analyzed by comparing it with a conventional control strategy. The results showed that using the proposed EMS in conjunction with supplementary system components (thermal energy storage and battery) an annual cost savings potential of between 3 and 6% could be achieved.
- Energy management system
- Mixed logical dynamical
- Mixed-integer linear programming
- Model predictive control
- Multi-energy system
ASJC Scopus subject areas
- Mechanical Engineering
- Management, Monitoring, Policy and Law
- Building and Construction
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- 1 Talk at conference or symposium
6 Oct 2020 → 7 Oct 2020
Activity: Talk or presentation › Talk at conference or symposium › Science to science