Green Middleware for a Smarter Grid

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1 Green Middleware for a Smarter Grid Hans-Arno Jacobsen July 13 th,

2 Our Smart Grid System Vision Smart grid storage: multiple big data repositories for specifications, time series, schedules, etc. Smart grid middleware: overlay of virtual control nodes communicating via messages Communication networks & messaging:access to sensor/actuator interfaces via multiple transmission technologies and protocols Instrumented power grid: generators, loads, power lines, transformers Department of Computer Science, Chair for Application & Middleware Systems 2

3 Cf. Green Middleware Technische Universität München Smart Grid Research Questions What could smart grid systems look like? How can optimization problems be efficiently translated into distributed communication protocols & algorithms? What are the design alternatives and associated (dis)advantages? What are the technical requirements of such systems? Is state-of-the-art middleware capable of dealing with the requirements of electrical power grid control? How many messages need to be exchanged with what (real)-time guarantees? How many measurements are required for accurate system state estimation? Which data needs to be stored and processed? Department of Computer Science, Chair for Application & Middleware Systems 3

4 Need Real Data Much of this work requires real data From the whole generation-consumption pipeline From loads (e.g., buildings, data centers, PEVs, etc.) Therefore, access to testbeds is quintessential Instrumented generators, transmission lines, etc. Entire campus, individual buildings, suites, rooms, etc. Buildings as loads (should be easy to get!) Log sensors & track actuators Assess comfort of users Department of Computer Science, Chair for Application & Middleware Systems 4

5 A Potential Living Lab? Technische Universität München Room schedule Lighting control Window control Power-plug sensor Door control Sensors Occupant feedback Occupant location Actuators Temperature sensor Humidity sensor HVAC control Department of Computer Science, Chair for Application & Middleware Systems 5

6 Application Scenario(s) Would you like to shape off 12% of your utility bill, at negligible change in comfort level? Department of Computer Science, Chair for Application & Middleware Systems 6

7 Building Operating System Technische Universität München Our Smart Building System Vision Person 10 has work place in Area 2. Area 2 has lighting ballast 4 and HVAC outlet 3. Electric load tree Building 1 Physical spaces Substation 3 Floor panel 4 HVAC (dry) Air handling unit 2 Everybody Occupants Floor 4 Room panel 2 Fan 6 Employees 4 Room 3 Appliance 5 Outlet 3 Person 10 Area 2 Lighting ballast 4 Building operating system: Consistent representation of building state HVAC Blinds Plug loads Occupants Environment Lighting Existing system infrastructure (building systems, personal computing, intranet, internet) Instrumented building components, occupants, environment Department of Computer Science, Chair for Application & Middleware Systems 7

8 Building Operating System Technische Universität München Our Smart Building System Vision Person 10 publishes status events to different areas in the building. Lighting ballast 4 and HVAC outlet 3 located in Area 2 (where Person 10 works) subscribe to events in Area 2. Lighting ballast 4 Person 10 HVAC outlet 3 Message broker Area 2 Publish/subscribe middleware Building operating system: Consistent representation of building state HVAC Blinds Plug loads Occupants Environment Lighting Existing system infrastructure (building systems, personal computing, intranet, internet) Instrumented building components, occupants, environment Department of Computer Science, Chair for Application & Middleware Systems 8

9 Building Operating System Technische Universität München Our Smart Building System Vision Energy audit Power-proportional operation Demand response and renewable intgration Applications Lighting ballast 4 Person 10 HVAC outlet 3 Message broker Area 2 Publish subscribe middleware Building operating system: Consistent representation of building state HVAC Blinds Plug loads Occupants Environment Lighting Existing system infrastructure (building systems, personal computing, internet) Instrumented building components, occupants, environment Department of Computer Science, Chair for Application & Middleware Systems 9

10 Our Energy Informatics Team Prof. Dr. Hans-Arno Jacobsen Alexander von Humboldt Professor Leading researcher in middleware and distributed systems Dr. Christoph Goebel Principal researcher Experienced post-doc (KIT, EPFL, CMU, Humboldt, UC Berkeley, TUM) Jose Rivera, BSc. EE, soon MSc. Doctoral student Currently writes master s thesis with Siemens, worked for system operator in Nicaragua Victor del Razo, MSc. CE Doctoral student 5 years of industry experience in the telecommunication sector Christoph Doblander, Mag. WI Doctoral student 5 years of industry experience in sofware engineering, 1 year in gas trading Master and Bachelor students Department of Computer Science, Chair for Application & Middleware Systems 10

11 Department of Computer Science, Chair for Application & Middleware Systems 11

12 Power Data Centers with Renewables? Department of Computer Science, Chair for Application & Middleware Systems 12

Christoph Doblander. Joint work with: Christoph Goebel, Hans-Arno Jacobsen

Christoph Doblander. Joint work with: Christoph Goebel, Hans-Arno Jacobsen Smart Grid Simulation 3rd Colloquium of the Munich School of Engineering: Research Towards Innovative Energy Systems and Materials Garching, 04.07.2013 Christoph Doblander Joint work with: Christoph Goebel,