Imagination at work. the energy positive outdoor lighting system
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- Blaise Casey
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1 Imagination at work the energy positive outdoor lighting system
2 Motivation EU policy EU 2030 target 40% +27% -27%
3 E+GRID definition E+GRID: The E+GRID system annually generates more energy, than the street lighting system consumption itself. Annually energy balance chart KWh Energy generation Energy storage Smart grid connectivity Event based Lighting controls Time based Lighting controls High efficiency LED Traditional HPS Traditional lighting LED lighting Intelligent LED lighting Adaptive LED lighting
4 System architecture E+GRID project: The purpose of the project is to develop and demonstrate an energy positive adaptive lighting system. Electrical connectivity Communication network 4
5 2012 Q3 Consortium 2012 Q4 R&D 2013 Q Q4 Data analytics 2014 Q2 WP1 WP2 WP3 WP4 WP5 Design Specification Prototyping Installation Fine tunes 2014 Q4 System architecture KPI definition Task & schedule Interface definition HW design Technical spec. Dev. environment Assembling Factory tests Installation Site tests Pilot run Bug fixing Handover Long term tests Consortium leader Lighting design Lighting controls Energy management Weather station Powerflow model Integrated sensor Monitoring & GUI PV experiments Communication GRID integration Electrical design Meaurements
6 Demo system 21 kw 18 kwh 191 pcs. (6.4 kw) PV panel Roadway Container Pathway Cloud based control Local weather station
7 Lighting system
8 Adaptive Lighting The Lighting system adapting to their environment. Based on the integrated motion sensor signals the Lighting system increase the lighting level on the road where the objects are moving.
9 Energy saving on the roads Road class cd/m 2 Traffic distribution Saving ME % ME % 0h 6h 18h 24h
10 19:45:00 20:00:00 20:15:00 20:30:00 20:45:00 21:00:00 21:15:00 21:30:00 21:45:00 22:00:00 22:15:00 22:30:00 22:45:00 23:00:00 23:15:00 23:30:00 23:45:00 0:00:00 0:15:00 0:30:00 0:45:00 1:00:00 1:15:00 1:30:00 1:45:00 2:00:00 2:15:00 2:30:00 2:45:00 3:00:00 3:15:00 3:30:00 3:45:00 4:00:00 4:15:00 4:30:00 4:45:00 5:00:00 5:15:00 5:30:00 5:45:00 6:00:00 Energy saving at the industrial area (e.g. KFKI) P [kw] 2,5 Measured energy usage / nominal energy demand [kw] From :45 to :00 2 1,5 1 0,5 Nominap power of the system at L1 phase: 23,1 kwh Measured power of the adaptive system at the L1 phase: 10,23 kwh Saving: 55,71 % 0 t [hh:mm:ss]
11 Energy management
12 PV panels Monocrystal 3,50kWp Thin film 3,46 kwp Policrystal 10,08 kwp Policrystal 3,43 kwp Energy management equipments SMART meters Switch box Communication box Battery bank Battery charger Inverters
13 00:00 03:00 07:00 18:15 21:15 National grid load curve [MW] E+grid energy management system Energy demand peak
14 Power 3,5 [kw] Energy management in real operation Power [MW] ,5 2 1,5 Feed back remaining PV generation to the grid Discharge batteries in the peak period , , ,5 Charging batteries from PV Akkumulátor inverter teljesítménye [kw] PV inverter teljesítménye [kw] Belső hálózatba visszatáplált teljesítmény [kw] Lámpák által felvett teljesítmény [kw] Hitelesített rendszerterhelés tény 3000
15 Power 3,5 [kw] Energy balance Power [MW] ,5 2 1,5 1 0,5 Lighting consumption: From battery: 2,11 kwh From grid: 5,54 kwh SUM: 7,65 kwh Energy balance: SUM generated: 23,08 kwh SUM feed back: 19,2 kwh SUM from grid: 5,54 kwh Total balance: +13,66 kwh Peak hours balance Luminaires: 2,11 kwh From grid: 0,063 kwh Feed back: 0,127 kwh Total balance: +0,64 kwh ,5 Storage efficiency: 71,83 % ,5 Akkumulátor inverter teljesítménye [kw] Belső hálózatba visszatáplált teljesítmény [kw] Hitelesített rendszerterhelés tény PV inverter teljesítménye [kw] Lámpák által felvett teljesítmény [kw] 3000
16 Central management
17 Key functionalities Controlling the lighting system Monitoring the overall system Visualization and analysis Optimizing the energy flow 17
18 Energy flow optimization 18
19 Gathering the data from the system components Weather station Temperature Irradiation Wind speed Humidity Energy management Power generation State of charge Feed back energy Energy consumption Luminaire Power consumption Dimming level Movement data Inside temperature GPS coordinates 19
20 Advantages of the remote monitoring
21 Advantages of the remote monitoring
22 Video
23
24 Future developments
25 Lighting as infrastructure Traffic management systems Control the traffic light Optimize traffic flow Reduce traveling time High density information mapping High density sensor network Mapping sensor data (e.g. noise level, air pollution, etc.) Analyze data to optimize the urban life Connected city infrastructure Local information from the roads City wide Wi-Fi access Communication backbone 25
26 Problem statement Urbanization trend For 2050 the 80% of the EU population will live in cities. * United Nations World urbanization prospect 2014 IoT trend For B devices will be connected to the internet. The biggest growth will happen in the IoT segment. * Business Insider - The Internet of Things 2014 Slide Deck 26
27 Budapest, Hegyvidék 240+ LED lighting fixtures 5.8 km roadways kwh annual energy saving
28 Budpest Traffic Management Co. Visualization Database Analytics BigData Research Traffic Pollution Noise GPS
29 Lighting can complete the modern urban life! 29
30 Acknowlegdgement The E+grid project has been supported by the KITA grant of the National Development Agency under contract number KMR
31 Thank you for your attention! Roland Bátai
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