OPTi-mization is the new mantra

Transcription

1 38 th Euroheat & Power Congress May 2017, Glasgow, United Kingdom OPTi-mization is the new mantra Results and perspectives of the OPTi-Project Wolfgang Birk The project has received funding from the European Union's Horizon 2020 Programme under grant agreement n Organised by

2 A Typical Scenario A glimpse on the complexity: > pipes > 800km total pipe length > 9000 buildings Wolfgang Birk - Luleå University of Technology

3 A Typical Scenario High level view Supply Temperature Supply Load Load Supply Load Temperature Supply Temperature Wolfgang Birk - Luleå University of Technology

4 A Typical Scenario Low level view Supply Temp Diff. pressure Diff. pressure Diff. pressure Supply Temp Supply Temp Return Temp Diff. pressure Wolfgang Birk - Luleå University of Technology

5 A Typical Scenario Some Reflections What is missing? The control system usually remains invisible. It is also assumed it works properly and is well tuned. In that context: Is the control strategy really optimal? Are the controllers adequate? Are all components really adequate? Do we really need to supply the determined amount of heat/cold? Wolfgang Birk - Luleå University of Technology

6 OPTi Approach Develop OPTi-Sim which is a full scale dynamic virtual twin. Design the OPTi-Framework by combining OPTi-Sim with components for control and optimization, economic assessment, and user analysis. Involve end-consumers Gender perspective. Wolfgang Birk - Luleå University of Technology

7 OPTi Framework as an architecture Wolfgang Birk - Luleå University of Technology

8 Optimisation on all levels In OPTi, the hierarchy of the optimisation and control approach makes use of three layers: LLC OBC O 3 Low-level control of pumps, valves and production units. This includes control configuration selection and design of controllers. Optimisation based control of the DHC system by adjusting set points for the low-level control. This includes the consideration of forecast information. Optimisation of operation considering (A)DR strategies and production scheduling. optimisation of operation optimisation based control Low Level control DHC System Wolfgang Birk - Luleå University of Technology

9 Control and optimisation approach The control and optimisation approach considers certain phenomena (top) and makes use of certain methods (bottom): Market Consumers Demands Environmental factors optimisation of operation optimisation based control Low Level control DHC System (A)DR tools Supply curve optimisation Model predictive control Pareto seeking control Control configuration selection Low-level controllers, e.g. PID-type, Extremum seeking Wolfgang Birk - Luleå University of Technology

10 OPTi-Sim The virtual twin as the basis Answers: Are controllers and components adequate? Enables: Design & Validation Re-design Testing/Piloting New Idea? No. In large scale with full dynamics? Rarely and usually not flexible. Control system usually not considered Wolfgang Birk - Luleå University of Technology

11 OPTi-Sim: Automatic model generation and simplification Luleå grid: > 10,000 consumers, > 46,000 pipes, 4 production units, sensors, pumps, valves Need for network reduction, simplification and automatic generation of dynamic models Reduction algoritms Automatic model generation FMU GIS data Advantage: Can be regeneration as soon as changes occurs! Wolfgang Birk - Luleå University of Technology

12 Identifying grid control strategy with ProMoVis Answers: Is the control strategy optimal? Background: Achievable performance is limited by the chosen control strategy Low level control strategies affect on all levels Enables: Optimal selection of control strategies Decision making/support Wolfgang Birk - Luleå University of Technology

13 Automated DR Design Tool - GUI Answers: Where to supply heat and how much? Enables: Selection of target users Provides the needed amount of incentives New idea? Originates from the smart grid area It is now adapted to DHC Wolfgang Birk - Luleå University of Technology

14 Virtual Knob Concept Understanding the user Enables the use of live feedback from the consumers about their comfort. A simple, intuitive interface to express their experience of the comfort Ranging from too cold to too hot. Wolfgang Birk - Luleå University of Technology

15 Virtual Knob Answers: How much heat/cold is needed? Enables: Active use of the comfort zone in optimization. Aids in widening the comfort zone New idea? We believe so. Not the interface though. More testing is needed. Wolfgang Birk - Luleå University of Technology

16 Some Concluding Remarks In relation to the questions we believe, we can provide the tools. The virtual twin is an enabling technology, but need to be flexible Interoperability of engineering tools is essential What is next: Stakeholder involvement to meet the market! Testing, testing testing Wolfgang Birk - Luleå University of Technology

17 OPTi Consortium Contacting us: or on LinkedIn/Twitter Wolfgang Birk - Luleå University of Technology