iot Hack challenge for bluecity +1 Kwh Kees the blue hive +10 Kwh Rotterzwam a smart energy awareness system -20 KWH Spireaux +5 Kwh aloha -6 KWH Refil Industrial Design at University of Technology Eindhoven and Delft By Petek Tezcan, Emma Dhaeze, Freek Olivier, Tim Treurniet, Milan Knust Graichen, Bernice d’Anjou
iot Hack challenge for bluecity Problem statement Difficult to distinguish Lack of awareness of energy consumption of energy consumption each occupant both individual companies and of the building as a whole (energy efficiency)
iot Hack challenge for bluecity Goal To make the occupants of the bluecity building more aware on their energy consumption Through the visualisation of relative energy consumption and suggestion creation for energy saving behaviour
iot Hack challenge for bluecity Meet the blue hive +1 Kwh Kees +10 Kwh Rotterzwam the smart energy -20 KWH Spireaux +5 Kwh aloha -6 KWH Refil awareness system
iot Hack challenge for bluecity It allows you to control your room temperature through tangible interaction It visualises the relative impact of your action of changing the room temperature through light You can ask for and receive suggestions on opportunities for in each office space behavioural change
iot Hack challenge for bluecity It visualises the relative energy consumption It relates your consumption with the other companies +1 Kwh Kees It also shows your factual energy +10 Kwh Rotterzwam saving every day -20 KWH Spireaux +5 Kwh aloha -6 KWH Refil The visualisation was inspired by the wood snippets usage of the in the entrance hall of the wood stove bluecity building
iot Hack challenge for bluecity The system registers the following data The energy consumption of each individual company Through a sensor on the radiator The total energy production of the wood stove Through a sensor on the wood stove
iot Hack challenge for bluecity impact of the concept Through the increased awareness on energy consumption of the occupants of bluecity, the existing heating system will be managed more efficiently
Recommend
More recommend
