MONITORING AND MODELING BUILDING ENERGY EXPENDITURE WITH SENSOR NETWORKS

Erwing R. Sanchez, Bartolomeo Montrucchio, Maurizio Rebaudengo

Abstract

Residential and commercial buildings constitute one of the largest energy consumption sectors in industrialized countries. This paper introduces a flexible commissioning system for maximizing energy usage efficiency in large and complex buildings. The system focuses on energy saving models to efficiently acquire and process sensor network data, thus reducing energy consumption and costs through the whole process. Novel protocol mechanisms are included in the implementation of the network to reduce its energy expenditure while maintaining a reliable communication. Special attention is placed in developing the performance monitoring interface, specifically designed for increasing personal energy consciousness of end-users. The overall system has been implemented at the Politecnico di Torino main site.

References

  1. Deshpande, A., Guestrin, C., Madden, S. R., Hellerstein, J. M., and Hong, W. (2004). Model-driven data acquisition in sensor networks. In VLDB 7804: Proceedings of the Thirtieth international conference on Very large data bases, pages 588-599. VLDB Endowment.
  2. Gehrke, J. and Madden, S. (2004). Query processing in sensor networks. Pervasive Computing, 3(1):46-55.
  3. Gnawali, O., Fonseca, R., Jamieson, K., Moss, D., and Levis, P. (2009). Collection tree protocol. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pages 1-14.
  4. ISO 7730 (2005). ISO 7730:2005: Ergonomics of the thermal environment - Analytical determination and interpretation of thermanl comfort using calculation of the PMV and PPD indeces and local thermal comfort criteria. International Organization for Standardization, Geneva, Switzerland.
  5. Madden, S., Franklin, M. J., Hellerstein, J. M., and Hong, W. (2003). The design of an acquisitional query processor for sensor networks. In SIGMOD, pages 491- 502, New York, NY, USA. ACM Press.
  6. Perez-Lombard, L., Ortiz, J., and Pout, C. (2008). A review on buildings energy consumption information. Energy and Buildings, 40(3):394-398.
  7. Polastre, J., Hill, J., and Culler, D. (2004). Versatile low power media access for wireless sensor networks. In SenSys 7804: Proceedings of the 2nd international conference on Embedded networked sensor systems, pages 95-107, New York, NY, USA. ACM.
  8. Polastre, J., Szewczyk, R., and Culler, D. (2005). Telos: enabling ultra-low power wireless research. In IPSN 7805: Proceedings of the 4th international symposium on Information processing in sensor networks, page 48, Piscataway, NJ, USA. IEEE Press.
  9. Sanchez, E., Chaudet, C., and Rebaudengo, M. (2009). Improving preamble sampling performance in wireless sensor networks with state information. In Wireless On-Demand Network Systems and Services, 2009. WONS 2009. Sixth International Conference on, pages 101-108.
  10. Tsang, K. F., Tung, H. Y., and Lam, K. L. (2009). ZigBee: From Basics to Designs and Applications. Prentice Hall.
  11. Yao, Y. and Gehrke, J. (January 2003). Query processing in sensor networks. In CIDR. ACM Press.
Download


Paper Citation


in Harvard Style

R. Sanchez E., Montrucchio B. and Rebaudengo M. (2011). MONITORING AND MODELING BUILDING ENERGY EXPENDITURE WITH SENSOR NETWORKS . In Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8425-48-5, pages 283-287. DOI: 10.5220/0003372602830287


in Bibtex Style

@conference{peccs11,
author={Erwing R. Sanchez and Bartolomeo Montrucchio and Maurizio Rebaudengo},
title={MONITORING AND MODELING BUILDING ENERGY EXPENDITURE WITH SENSOR NETWORKS},
booktitle={Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2011},
pages={283-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003372602830287},
isbn={978-989-8425-48-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - MONITORING AND MODELING BUILDING ENERGY EXPENDITURE WITH SENSOR NETWORKS
SN - 978-989-8425-48-5
AU - R. Sanchez E.
AU - Montrucchio B.
AU - Rebaudengo M.
PY - 2011
SP - 283
EP - 287
DO - 10.5220/0003372602830287