Distributed energy systems - An optimal design perspective
Event details
| Date | 11.05.2018 |
| Hour | 10:15 › 11:00 |
| Speaker | Georgios Mavromatidis, Chair of Building Physics, ETH |
| Location | |
| Category | Conferences - Seminars |
Abstract:
Distributed energy systems (DES) can sustainably transform the energy supply of buildings and districts by incorporating multiple efficient energy technologies and locally available renewable sources. This talk will focus on the model-based optimal design of DES and will highlight recent research developments in the field. First, the ways that mathematical optimisation can assist with the task of optimal DES design will be introduced. Then, approaches to represent the different energy technologies with varying level of detail in optimisation models will be presented. The necessary interactions with other modelling domains, such as Building Performance Simulation, will also be discussed. Additionally, ways to address challenges like uncertainty and the computational complexity when extending DES design models at larger scales like the whole city scale will also be presented. Finally, going beyond modelling, the talk will conclude by highlighting insights from real-world projects that have investigated the design of DES.
Bio:
Georgios Mavromatidis is a post-doctoral researcher at the Chair of Building Physics, ETH Zurich and he is also affiliated with the Laboratory for Urban Energy Systems at Empa Dübendorf. Dr. Mavromatidis received his PhD degree in 2017 from ETH Zurich, Switzerland and his thesis focused on the design of distributed energy systems under uncertainty. Previously, in 2012, he obtained an MSc in Sustainable Energy Futures from Imperial College London, UK, and, in 2010, a Diploma in Mechanical Engineering from Aristotle University of Thessaloniki, Greece. His research interests include the optimal design of distributed multi-energy systems for buildings and districts, uncertainty in energy system design, and the interactions between building retrofits and upgrades of building energy systems. Additional information can be found on his personal website: www.mavromatidis.me
Distributed energy systems (DES) can sustainably transform the energy supply of buildings and districts by incorporating multiple efficient energy technologies and locally available renewable sources. This talk will focus on the model-based optimal design of DES and will highlight recent research developments in the field. First, the ways that mathematical optimisation can assist with the task of optimal DES design will be introduced. Then, approaches to represent the different energy technologies with varying level of detail in optimisation models will be presented. The necessary interactions with other modelling domains, such as Building Performance Simulation, will also be discussed. Additionally, ways to address challenges like uncertainty and the computational complexity when extending DES design models at larger scales like the whole city scale will also be presented. Finally, going beyond modelling, the talk will conclude by highlighting insights from real-world projects that have investigated the design of DES.
Bio:
Georgios Mavromatidis is a post-doctoral researcher at the Chair of Building Physics, ETH Zurich and he is also affiliated with the Laboratory for Urban Energy Systems at Empa Dübendorf. Dr. Mavromatidis received his PhD degree in 2017 from ETH Zurich, Switzerland and his thesis focused on the design of distributed energy systems under uncertainty. Previously, in 2012, he obtained an MSc in Sustainable Energy Futures from Imperial College London, UK, and, in 2010, a Diploma in Mechanical Engineering from Aristotle University of Thessaloniki, Greece. His research interests include the optimal design of distributed multi-energy systems for buildings and districts, uncertainty in energy system design, and the interactions between building retrofits and upgrades of building energy systems. Additional information can be found on his personal website: www.mavromatidis.me
Practical information
- General public
- Free