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Simulating Human Occupancy in an Experimental Laboratory Setting

Received: 22 December 2014     Accepted: 8 January 2015     Published: 30 January 2015
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Abstract

Energy conservation within a residential home is a primary focus for both home owners and power utilities throughout the country. Developing a technology to model, detect, and measure human occupancy would allow for laboratory settings to more accurately model residential energy use without the need for actual human activity within the space. An accurate way to measure occupancy is through detecting the latent and sensible heat that is generated by activities within the home. As industry facilities move forward with research, innovative ways to model every aspect of a residential home comes into play. These research settings require the development of technology that appropriately models and detects human activity within a residential home.

Published in International Journal of Sustainable and Green Energy (Volume 4, Issue 1)
DOI 10.11648/j.ijrse.20150401.12
Page(s) 7-10
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Alternative, Energy, Modeling, Robotics

References
[1] ASHRAE (2008). “ASHRAE Standard 160P” Retrieved 12/15/20213
[2] Fang, X. et al. (2011). “Field Test Protocol: Standard Internal Load Generation for Unoccupied Test Homes”. NREL retrieved 12/17/2013
[3] Lee, Yoo. (2011). “Simulating Human Behavior and Its Impact on Energy Uses”. University of Pennsylvania. Retrieved 12/15/2013.
[4] TenWolde, A. et al. (2007). “The Effect of Indoor Humidity on Water Vapor Release in Homes” ASHRAE. Retrieved 12/17/2013
[5] Winkelman, A (2012) “Humidity Generation System” PNNL. Retrieved 12/15/2013.
[6] DOE, (2012). “Building America Workbook.” Department of Energy. Retrieved 3/12/2014
Cite This Article
  • APA Style

    Joseph Martin Petersen. (2015). Simulating Human Occupancy in an Experimental Laboratory Setting. International Journal of Sustainable and Green Energy, 4(1), 7-10. https://doi.org/10.11648/j.ijrse.20150401.12

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    ACS Style

    Joseph Martin Petersen. Simulating Human Occupancy in an Experimental Laboratory Setting. Int. J. Sustain. Green Energy 2015, 4(1), 7-10. doi: 10.11648/j.ijrse.20150401.12

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    AMA Style

    Joseph Martin Petersen. Simulating Human Occupancy in an Experimental Laboratory Setting. Int J Sustain Green Energy. 2015;4(1):7-10. doi: 10.11648/j.ijrse.20150401.12

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  • @article{10.11648/j.ijrse.20150401.12,
      author = {Joseph Martin Petersen},
      title = {Simulating Human Occupancy in an Experimental Laboratory Setting},
      journal = {International Journal of Sustainable and Green Energy},
      volume = {4},
      number = {1},
      pages = {7-10},
      doi = {10.11648/j.ijrse.20150401.12},
      url = {https://doi.org/10.11648/j.ijrse.20150401.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20150401.12},
      abstract = {Energy conservation within a residential home is a primary focus for both home owners and power utilities throughout the country. Developing a technology to model, detect, and measure human occupancy would allow for laboratory settings to more accurately model residential energy use without the need for actual human activity within the space. An accurate way to measure occupancy is through detecting the latent and sensible heat that is generated by activities within the home. As industry facilities move forward with research, innovative ways to model every aspect of a residential home comes into play. These research settings require the development of technology that appropriately models and detects human activity within a residential home.},
     year = {2015}
    }
    

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    AU  - Joseph Martin Petersen
    Y1  - 2015/01/30
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijrse.20150401.12
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    T2  - International Journal of Sustainable and Green Energy
    JF  - International Journal of Sustainable and Green Energy
    JO  - International Journal of Sustainable and Green Energy
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    AB  - Energy conservation within a residential home is a primary focus for both home owners and power utilities throughout the country. Developing a technology to model, detect, and measure human occupancy would allow for laboratory settings to more accurately model residential energy use without the need for actual human activity within the space. An accurate way to measure occupancy is through detecting the latent and sensible heat that is generated by activities within the home. As industry facilities move forward with research, innovative ways to model every aspect of a residential home comes into play. These research settings require the development of technology that appropriately models and detects human activity within a residential home.
    VL  - 4
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Author Information
  • Washington State University, School of Electrical Engineering and Computer Science, Richland, Washington, USA

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