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Residential Energy Performance Metrics

Author

Listed:
  • Christopher Wright

    (Department of Engineering Management, Missouri University of Science and Technology, 600 W. 14th Street, Rolla, MO 65409, USA)

  • Stuart Baur

    (Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, 1401 Pine Street, Rolla, MO 65409, USA)

  • Katie Grantham

    (Department of Engineering Management, Missouri University of Science and Technology, 600 W. 14th Street, Rolla, MO 65409, USA)

  • Robert B. Stone

    (School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, OR, 97331, USA)

  • Scott E. Grasman

    (Department of Engineering Management, Missouri University of Science and Technology, 600 W. 14th Street, Rolla, MO 65409, USA)

Abstract

Techniques for residential energy monitoring are an emerging field that is currently drawing significant attention. This paper is a description of the current efforts to monitor and compare the performance of three solar powered homes built at Missouri University of Science and Technology. The homes are outfitted with an array of sensors and a data logger system to measure and record electricity production, system energy use, internal home temperature and humidity, hot water production, and exterior ambient conditions the houses are experiencing. Data is being collected to measure the performance of the houses, compare to energy modeling programs, design and develop cost effective sensor systems for energy monitoring, and produce a cost effective home control system.

Suggested Citation

  • Christopher Wright & Stuart Baur & Katie Grantham & Robert B. Stone & Scott E. Grasman, 2010. "Residential Energy Performance Metrics," Energies, MDPI, vol. 3(6), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:3:y:2010:i:6:p:1194-1211:d:8622
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    Citations

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    Cited by:

    1. Ghada Elshafei & Dušan Katunský & Martina Zeleňáková & Abdelazim Negm, 2022. "Opportunities for Using Analytical Hierarchy Process in Green Building Optimization," Energies, MDPI, vol. 15(12), pages 1-24, June.
    2. Kuang-Sheng Liu & Sung-Lin Hsueh & Wen-Chen Wu & Yu-Lung Chen, 2012. "A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings," Energies, MDPI, vol. 5(11), pages 1-19, November.
    3. Adnan Ahmad & Asif Khan & Nadeem Javaid & Hafiz Majid Hussain & Wadood Abdul & Ahmad Almogren & Atif Alamri & Iftikhar Azim Niaz, 2017. "An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources," Energies, MDPI, vol. 10(4), pages 1-35, April.

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