What's New

Updates and changes:

• With the advance in measurement technology since mid-80s, sensors can go on wireless and on the networks. A few references are added to this database on the general topic of measurements and building/constructions. Other sysmtems include: power line communication (PLC, X-10), bus line communication and radio frequency (RF) communication.
• "A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it. ˇ­Wireless communications, and digital electronics have enabled the development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in short distances. " in this paper by Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. and Cayirci, E., 2002, Wireless sensor networks: a survey made a survey of the wireless tech. They envisioned a few application areas that included Home Automation.
• Jang et al., 2008, Wireless sensor networks as part of a web-based building environmental monitoring system presented details of a web-based system.
• Why use wireless, "Additionally, estimates of the cost to run signal wire in 2002 ranged from $2.20 per meter for new construction to $7.19 per meter for existing construction [3]." M. Kintner-Meyer and M. Brambley, Pros & cons of wireless, ASHRAE Journal 44 (11) (2002), pp. 54¨C61. Kintner-meyer and Brambley, 2002, Pros & cons of wireless
• In Jeong, J., Firrantello, J. and Freih, J. D., 2008, Feasibility of wireless measurements for semi-empirical multizone airflow model tuning,, mentioned the advantages of WSN "portability and flexibility, fast equipment setup, time synchronized
• data collection, negligible interruption to the occupantsˇŻ activity during the measurement, and installation time and cost saving" (applied to improve/tune multzone airflow network model. They presented a working system, and cost analysis, in the actual dollar term for WSN.
• Oksaa, P., a, M. S., Syd?nheimoa, L. and Kivikoskia, M., 2008, Kilavi platform for wireless building automation presented a particular platform to implement WSN for building control and monitoring. They placed WSN as part of an intelligent building. "Kilavi is a wireless manufacturer-independent platform for building control and monitoring--low data rate control and sensing providing the functions and messages
• for the implementation of functional and reliable building automation system that can be controlled through a common interface.."
• Wu, S. and Clements-croome, D., 2007, Understanding the indoor environment through mining sensory dataˇŞA case study focused on analysis of data from WSN (and special issues related wot WSN data, such as reliability).
• Some other reference added as well

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Added references: 21 Added concepts: 2 Added essays: 0 References Tsubouchi, K. K., (1990), Water vapor pressure in the still air layer adhering to perforated plastic plates. (25-6-08) Scott, R., Aia, N. and Macphaul, D., (2005), Pioneering Building Envelope Commissioning to Prevent Moisture Intrusion. (17-6-08) Hoof, J. van., (2008), Forty years of Fanger's model of thermal comfort: comfort for all?. (17-6-08) Schijndel, A. W. M. v., (2008), Estimating values for the moisture source load and buffering capacities from indoor climate measurements. (17-6-08) Sahal, N. and Lacasse, M. A., (2008), Proposed method for calculating water penetration test parameters of wall assemblies as applied to Istanbul, Turkey. (17-6-08) Kintner-meyer, M. and Brambley, M., (2002), Pros & cons of wireless. (16-6-08) Oksaa, P., a, M. S., Syd?nheimoa, L. and Kivikoskia, M., (2008), Kilavi platform for wireless building automation. (16-6-08) Malkawi, A. M., Srinivasan, R. S., (2005), A new paradigm for Human-Building Interaction: the use of CFD and Augmented Reality. (16-6-08) Jeong, J., Firrantello, J. and Freih, J. D., (2008), Feasibility of wireless measurements for semi-empirical multizone airflow model tuning. (16-6-08) Wu, S. and Clements-croome, D., (2007), Understanding the indoor environment through mining sensory data--A case study. (16-6-08) Jang, W., Healy, W. M. and Skibniewski, M. J., (2008), Wireless sensor networks as part of a web-based building environmental monitoring system. (16-6-08) Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. and Cayirci, E., (2002), Wireless sensor networks: a survey. (16-6-08) Beck, C., Grieser, J., Kottek, M., Rubel, F. and Rudolf, B., (2006), Characterizing Global Climate Change by means of K?ppen Climate Classification. (13-6-08) Kottek, M., Grieser, J., Beck, C., Rudolf, B. and Rubel, F., (2006), World Map of the K?ppen-Geiger climate classification updated. (13-6-08) L, C. and H, D. D., (2006), Analysis of Montreal 30-year weather data to select loading conditions for large-scale tests on wall panel systems. (11-6-08) Wessen, B. and Schoeps, K., (1996), Microbial volatile organic compounds-what substances can be found in sick buildings?. (2-6-08) Thomas, L. and Juanes, F., (1996), The importance of statistical power analysis: an example from aAnimal bBehaviour. (2-6-08) Sunesson, A. L., Vaes, W. H. J., Nilsson, C. A., Blomquist, G., Andersson, B. and Carlson, R., (1995), Identification of volatile metabolites from five fungal species cultivated on two media. (2-6-08) Keller, H. S. R. and R¨ąden, H., (2004), Indoor air pollution by microorganisms and their metabolites. (2-6-08) B?rjesson, U. S. and Schn¨ąrer, J., (1990), Volatile metabolites and other indicators of Penicillium aurantiogriseum growth on different substrates.. (2-6-08) Box, G. E. P. and Cox, D. R., (1964), An analysis of transformations. (2-6-08) Essay REN21-Renewable Energy Network for the 21st Century: 25-6-08 Zero Energy Buildings, Zero Energy Homes (ZEH): 23-6-08 Journal Info: 17-6-08 Building envelope research: lumber industry and construction.: 16-6-08 Wireless sensor network (WSN): 16-6-08 Web Links No new entry. Concept Renewable energy: 25-6-08 measurement: wireless sensor network: 16-6-08

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