DSD-INT 2015 - Advanced control of smart thermal grid - case campus Delft University - Sam van der Zwan, Jorn Baayen, Tjerk Vreeken, Dirk Schwanenberg
The document discusses a pilot project using Delft-FEWS and RTC-Tools for advanced control of the district heating network at Delft University of Technology campus. The network serves 18 buildings using 4 piping tracks connected to a CHP plant and 3 boilers. The goals are to minimize CO2 production, reduce energy usage, and use renewable sources by optimizing individual building supply temperatures based on real-time weather predictions. Initial results show potential for cost savings through price-optimal control of multiple heat sources to meet building comfort requirements given electricity price and weather forecasts. Improving building models and understanding prediction error sources could further reduce costs when extending the approach to the full TUDelft heating network.
DSD-INT 2015 - Advanced control of smart thermal grid - case campus Delft University - Sam van der Zwan, Jorn Baayen, Tjerk Vreeken, Dirk Schwanenberg
- 1. Delft, 5 november 2015 Advanced control of smart thermal grid – case Campus Delft University Sam van der Zwan Jorn Baayen Tjerk Vreeken Dirk Schwanenberg
- 2. District heating network of TUDelft • 18 Buildings • 4 tracks • 1 CHP plant with 2 CHP units and 3 boilers 10 november 2015
- 3. District heating network of TUDelft Goals • Minimize CO2 production • Reduce energy usage • Use renewable energy sources Required: • Reduce temperature in the system (from HT to MT) • Optimize supply temperature per building based on actual weather predictions (real time) 10 november 2015
- 4. Current results: Load duration curve (CHP) 10 november 2015
- 5. Pilot: Delft-FEWS + RTC-Tools 10 november 2015
- 6. 10 november 2015 RTC-Tools is a toolbox for control of hydraulic structures. • Collection of modules for control system development • Model-predictive control › Built-in model library › External models • Supports Modelica models (Dymola, Wolfram) • Open source RTC-Tools
- 7. 10 november 2015 Delft-FEWS Delft-FEWS is an open data handling platform. • Collection of modules for aggregating real-time data flows • Flood warning • Water quality management • Decision support systems › Models and controllers to support decision makers › Models and controllers in closed-loop operation • Free (but not open source), open standards
- 8. Example: District heating • Two heat sources: • Constant-price • Variable-price • Two buildings • Building comfort requirements Aim: Price-optimal control of heat sources, given predictions on weather and electricity price. 10 november 2015 P J H V4 V3 BUILDING2 SOURCE2 SOURCE1 BUILDING1
- 9. Example: District heating 10 november 2015
- 10. Example: District heating 10 november 2015
- 11. Outlook • Better building models would further reduce costs • Investigate nature of prediction error: model vs. weather prediction error sources • Extension to TUDelft heat network work in progress 10 november 2015