TY - GEN
T1 - Wireless sensor networks to enable the passive house - Deployment experiences
AU - Daniel, Tessa
AU - Gaura, Elena
AU - Brusey, James
PY - 2009/9
Y1 - 2009/9
N2 - Finding solutions for the current period of climate change or "global warming" is possibly the most serious and pressing challenge faced by scientists and the wider community today. Although governments are beginning to act, a community wide approach is needed with a large proportion of individuals engaging to reduce energy consumption that depends on fossil fuels. The Passive House (or Passivhaus) standard is an ultra-low energy standard for building construction and design that aims at dramatically reducing energy consumption in the home. While appropriate for new builds, this standard may be difficult to achieve with existing buildings. In this work, Wireless Sensor Network (WSN) technology is examined as an enabling tool to support rapid progression to improved energy efficiency and increased comfort for existing buildings. As with participatory urban sensing, the home occupant could, in the future, take on the role of scientist; developing an awareness of trouble spots in the house would allow them to target problems thus reducing the need for heating and improving comfort. The paper reports on experiences and findings from several residential and commercial environmental monitoring WSN deployments using a WSN developed from off the shelf components. The sensors deployed measure temperature, relative humidity, CO2 concentration and light. Depending on the size and layout of the space to be monitored, added to the scope of deployment, between 12 and 20 nodes were deployed and the monitoring period was 7-14 days per location. The paper illustrates the value of using WSN technologies as enablers for the amateur eco-home scientist on the path towards reduced energy consumption and increased comfort. It evaluates the suitability of the system for both commercial and residential deployments and shows how large quantities of data can be reduced to meaningful high level information delivered to the user.
AB - Finding solutions for the current period of climate change or "global warming" is possibly the most serious and pressing challenge faced by scientists and the wider community today. Although governments are beginning to act, a community wide approach is needed with a large proportion of individuals engaging to reduce energy consumption that depends on fossil fuels. The Passive House (or Passivhaus) standard is an ultra-low energy standard for building construction and design that aims at dramatically reducing energy consumption in the home. While appropriate for new builds, this standard may be difficult to achieve with existing buildings. In this work, Wireless Sensor Network (WSN) technology is examined as an enabling tool to support rapid progression to improved energy efficiency and increased comfort for existing buildings. As with participatory urban sensing, the home occupant could, in the future, take on the role of scientist; developing an awareness of trouble spots in the house would allow them to target problems thus reducing the need for heating and improving comfort. The paper reports on experiences and findings from several residential and commercial environmental monitoring WSN deployments using a WSN developed from off the shelf components. The sensors deployed measure temperature, relative humidity, CO2 concentration and light. Depending on the size and layout of the space to be monitored, added to the scope of deployment, between 12 and 20 nodes were deployed and the monitoring period was 7-14 days per location. The paper illustrates the value of using WSN technologies as enablers for the amateur eco-home scientist on the path towards reduced energy consumption and increased comfort. It evaluates the suitability of the system for both commercial and residential deployments and shows how large quantities of data can be reduced to meaningful high level information delivered to the user.
UR - http://www.scopus.com/inward/record.url?scp=70350426125&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04471-7_14
DO - 10.1007/978-3-642-04471-7_14
M3 - Conference proceeding contribution
AN - SCOPUS:70350426125
SN - 3642044700
SN - 9783642044700
VL - 5741
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 177
EP - 192
BT - Smart Sensing and Context - 4th European Conference, EuroSSC 2009, Proceedings
A2 - Barnaghi, Payam
A2 - Moessner, Klaus
A2 - Presser, Mirko
A2 - Meissner, Stefan
PB - Springer, Springer Nature
CY - Berlin, Heidelberg
T2 - 4th European Conference on Smart Sensing and Context, EuroSSC - 2009
Y2 - 16 September 2009 through 18 September 2009
ER -