​The HEM sensor network at the HSB Living Lab.

Home Energy Management

Start date 01/01/2014
End date The project is closed: 31/12/2016
​The Home Energy Management (HEM) project is part of the Building Technology Accelerator (BTA) – a flagship within the theme Transforming the Built Environment of the Climate-Knowledge and Innovation Community (Climate-KIC) initiative established by the European Institute of Innovation & Technology (EIT).
 
The HEM project develops a multilayered energy consumption prediction tool that has a high resolution in time (e.g. explaining the origin of peaks) and in space (e.g. explaining the impact of local activities). Living lab setups, behavior studies, and technology surveys guide this development.
 
Some of the HEM components are:
“Metering” (indoor/outdoor conditions, building technologies and material performance), which is the HEM sensor network initially built at the HSB Living Lab.
“Behavior recognition” (interaction of users with energy consuming building technologies), which is the basis for energy demand prediction.
“Appliance integration” (internet of things), which overlaps appliance usage and impacts with building technologies and operation.
“Surveys” (user feedback data), which generates a knowledge database regarding energy consumption and awareness of saving potentials.
“Prediction” (event based factor analyses), which aims for close, mid-term, and long-term behavior related energy demand.
 
The project is carried out at the Department of Civil and Environmental Engineering, the Division of Building Technologies in the research group Sustainable Building. Furthermore, HEM enjoys the collaboration with the Department of Product and Production Development and the Department of Architecture.
 
Keywords: energy, demand, prediction, sensor matrix, living lab
Project members
Project leader
​Christian Marx (BoM, BT) 
 
Project members  
Jesper Knutsson (BoM, VMT)
Ulrike Rahe (PPU, D&HF)
Anneli Selvefors (PPU, D&HF)
Roland Britz (BoM, BT)
Melina Forooraghi (BoM, BT)
Paula Femenias (A)
 
Contact
Catharina Björk (BoM)
External partners at the project Chalmers
​Tommie Månsson (BoM, BT)
Zeno Winkels (Johanneberg Science Park) 
Julia Franzén (BoM) 
Rickard Ekdahl (BoM)
 
The utilization of HEM project results is supported by Johanneberg Science Park, namely Zeno Winkels.
Chalmers Areas of Advance
​​Built Environment
Energy
Related projects
​​HSB Living Lab
Next Generation Building Envelop Systems
Smart Sustainable Offices
​​EIT / Climate-KIC, 2 MEUR

Co-funding, 3 MEUR
​The Home Energy Management (HEM) project is part of the Building Technology Accelerator (BTA) – a flagship within the theme Transforming the Built Environment of the Climate-Knowledge and Innovation Community (Climate-KIC) initiative established by the European Institute of Innovation & Technology (EIT).
 
The HEM project develops a multilayered energy consumption prediction tool that has a high resolution in time (e.g. explaining the origin of peaks) and in space (e.g. explaining the impact of local activities). Living lab setups, behavior studies, and technology surveys guide this development.
 
Some of the HEM components are:
“Metering” (indoor/outdoor conditions, building technologies and material performance), which is the HEM sensor network initially built at the HSB Living Lab.
“Behavior recognition” (interaction of users with energy consuming building technologies), which is the basis for energy demand prediction.
“Appliance integration” (internet of things), which overlaps appliance usage and impacts with building technologies and operation.
“Surveys” (user feedback data), which generates a knowledge database regarding energy consumption and awareness of saving potentials.
“Prediction” (event based factor analyses), which aims for close, mid-term, and long-term behavior related energy demand.
 
The project is carried out at the Department of Civil and Environmental Engineering, the Division of Building Technologies in the research group Sustainable Building. Furthermore, HEM enjoys the collaboration with the Department of Product and Production Development and the Department of Architecture.
 
Keywords: energy, demand, prediction, sensor matrix, living lab

Published: Mon 16 Nov 2015. Modified: Tue 28 Mar 2017