197
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Methodology to assess “no-touch” building audit software using simulated utility data

ORCID Icon, ORCID Icon &

References

  • Allab, Y., M. Pellegrino, X. Guo, E. Nefzaoui, and A. Kindinis. 2017. Energy and comfort assessment in educational building: Case study in a French University Campus. Energy and Buildings 143 (May):202–19. doi:10.1016/j.enbuild.2016.11.028
  • Andersson, E., O. Arfwidsson, and P. Thollander. 2018. Benchmarking energy performance of industrial small and medium-sized enterprises using an energy efficiency index: Results based on an energy audit policy program. Journal of Cleaner Production 182:883–95. doi:10.1016/j.jclepro.2018.02.027
  • ASHRAE. 2010. Engineering analysis of experimental data, ASHRAE guideline 2-2010. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • ASHRAE. 2014. Measurement of energy, demand, and water savings, ASHRAE Guideline 14-2014. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • ASHRAE. 2017. ANSI/ASHRAE Standard 140-2017 Standard method of test for the evaluation of building energy analysis computer programs. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • Bay, C. J., T. J. Terrill, and B. P. Rasmussen. 2017. Autonomous robotic building energy audits: Demonstrated capabilities and open challenges. ASHRAE Transactions Atlanta, 123:3–20.
  • Cai, J., J. E. Braun, and M. R. Langner. 2016. Methodology to assess no touch audit software using field data (Technical Report NREL/SR-5500-67236). Golden, CO: National Renewable Energy Laboratory. Retrieved from http://www.nrel.gov/docs/fy17osti/67236.pdf.
  • Carstens, H., X. Xia, and S. Yadavalli. 2017. Low-cost energy meter calibration method for measurement and verification. Applied Energy 188 (Supplement C):563–75. doi:10.1016/j.apenergy.2016.12.028
  • Cheng, J., and M. Druzdzel. 2000. Latin hypercube sampling in Bayesian networks. American Association for Artificial Intelligence. Pittsburgh, PA: University of Pittsburgh. Accessed October 2013 from www.pitt.edu/∼druzdzel/psfiles/flairs00.pdf.
  • Cheung, H., J.E. Braun, and M.R. Langner. 2016. Methodology to assess no touch audit software using simulated building utility data. NREL/TP-5500-66001.
  • Deb, C., and S. E. Lee. 2018. Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. Energy and Buildings 159 (Supplement C):228–45. doi:10.1016/j.enbuild.2017.11.007
  • Deru, M., K. Field, D. Studer, K. Benne, B. Griffith, P. Torcellini, B. Liu, M. Halverson, D. Winiarski, M. Rosenberg, et al. 2011. US Department of Energy commercial reference building models of the national building stock (Technical Report NREL/TP-5500-46861). National Renewable Energy Laboratory, Golden, CO.
  • DOE. 2017a. Commercial reference buildings. Department of Energy. Accessed August 28, 2017. http://www.tandf.co.uk/journals/authors/style/reference/tf_ChicagoAD.pdf.
  • DOE. 2017b. Commercial prototype building models. Department of Energy. Accessed August 28, 2017. https://www.energycodes.gov/development/commercial/prototype_models.
  • DOE. 2015c. OpenStudio, Department of Energy, Accessed September 2015. https://www.openstudio.net/.
  • EIA. 2003. Commercial buildings energy consumption survey data. U.S. Energy Information Administration. Accessed September 2017: https://www.eia.gov/consumption/commercial/data/2003/.
  • EIA. 2015a. 2013 Total electric industry—average retail price. U.S. Energy Information Administration. Accessed March 2015: http://www.eia.gov/electricity/sales_revenue_price/pdf/table4.pdf.
  • EIA. 2015b. U.S. Natural Gas Prices. U.S. Energy Information Administration, Accessed February 2014: http://www.eia.gov/dnav/ng/ng_pri_sum_dcu_nus_a.htm.
  • ENERGY STAR. 2000. ENERGY STAR Portfolio Manager. Retrieved October 18, 2019. https://www.energystar.gov/buildings/facility-owners-and-managers/existing-buildings/use-portfolio-manager
  • Fawcett, T. 2006. An introduction to ROC analysis. Pattern Recognition Letters 27 (8):861–74. doi:10.1016/j.patrec.2005.10.010
  • Franconi, E., M. Gee, M. Goldberg, J. Granderson, T. Guiterman, M. Li, and B. A. Smith. 2017. The status and promis of advanced M&V: An overview of ‘M&V 2.0’ methods, tools and applications. Berkeley, CA: Lawrence Berkeley National Laboratory. https://eta.lbl.gov/sites/all/files/publications/lbnl-1007125.pdf.
  • Frank, S., M. Heaney, X. Jin, J. Robertson, H. Cheung, R. Elmore, and G. Henze. 2016. Hybrid model-based and data-driven fault detection and diagnostics for commercial buildings. In 2016 ACEEE Summer Study on Energy Efficiency in Buildings. http://www.nrel.gov/docs/fy16osti/65924.pdf.
  • Fresner, J., F. Morea, C. Krenn, J. Aranda Uson, and F. Tomasi. 2017. Energy efficiency in small and medium enterprises: Lessons learned from 280 energy audits across Europe. Journal of Cleaner Production 142, Part 4 (January):1650–60. doi:10.1016/j.jclepro.2016.11.126
  • Goel, S., R.A. Athalye, W. Wang, J. Zhang, M.I. Rosenberg, Y. Xie, P.R. Hart, and V.V. Mendon. 2014. Enhancements to ASHRAE standard 90.1 prototype building models (PNNL-23269). Richland, WA: Pacific Northwest National Laboratory (PNNL).
  • Granderson, J., S. Touzani, S. Fernandes, and C. Taylor. 2017. Application of automated measurement and verification to utility energy efficiency program data. Energy and Buildings 142:191–9. doi:10.1016/j.enbuild.2017.02.040
  • Heo, Y., and V. M. Zavala. 2012. Gaussian process modeling for measurement and verification of building energy savings. Energy and Buildings 53 (October):7–18. doi:10.1016/j.enbuild.2012.06.024
  • Jing, R., M. Wang, R. Zhang, N. Li, and Y. Zhao. 2017. A study on energy performance of 30 commercial office buildings in Hong Kong. Energy and Buildings 144:117–28. doi:10.1016/j.enbuild.2017.03.042
  • Kaiser, M. J., and A. G. Pulsipher. 2010. Preliminary assessment of the Louisiana home energy rebate offer program using IPMVP guidelines. Applied Energy 87 (2):691–702. doi:10.1016/j.apenergy.2009.08.001
  • Kissock, J. K., J. S. Haberl, and D. E. Claridge. 2002. Development of a toolkit for calculating linear, change-point linear and multiple linear inverse building energy analysis models (No. 1050-RP). Atlanta, GA: American Society of Heating, Refrigerating and Air Conditionings Engineers, Inc.
  • Langner, et al. 2014. Reducing transaction costs for energy efficiency investments and analysis of economic risk associated with building performance uncertainties. National Renewable Energy Laboratory. NREL/TP-5500-60976. Accessed September 2015: http://www.nrel.gov/docs/fy14osti/60976.pdf.
  • Lee, S. H., T. Hong, M. A. Piette, and S. C. Taylor-Lange. 2015. Energy retrofit analysis toolkits for commercial buildings: A review. Energy. 89: 87–100. doi:10.1016/j.energy.2015.06.112
  • Liu, J., G. Li, H. Chen, J. Wang, Y. Guo, and J. Li. 2017. A Robust Online Refrigerant Charge Fault Diagnosis Strategy for VRF Systems Based on Virtual Sensor Technique and PCA-EWMA Method. Applied Thermal Engineering 119 (June):233–43. doi:10.1016/j.applthermaleng.2017.03.074
  • Luo, X., T. Hong, Y. Chen, and M. A. Piette. 2017. Electric Load Shape Benchmarking for Small- and Medium-Sized Commercial Buildings. Applied Energy 204 (October):715–25. doi:10.1016/j.apenergy.2017.07.108
  • Ma, Z., P. Cooper, D. Daly, and L. Ledo. 2012. Existing building retrofits: Methodology and state-of-the-art. Energy and Buildings 55 (December):889–902. doi:10.1016/j.enbuild.2012.08.018
  • Ramachandra, B., P. Nawathe, J. Monroe, K. Han, Y. Ham, and R. R. Vatsavai. 2018. Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping. Journal of Infrastructure Systems 24 (3):04018013. doi:10.1061/(ASCE)IS.1943-555X.0000431
  • Reddy, T. A., and D. E. Claridge. 2000. Uncertainty of ‘Measured’ Energy Savings from Statistical Baseline Models. HVAC&R Research 6 (1):3–20. doi:10.1080/10789669.2000.10391247
  • Reichmuth, H., and C. Turner. 2010. A Tool for Efficient FirstView of Commercial Building Energy Performance. 2010 ACEEE Summer Study on Energy Efficiency in Buildings, 325–338.
  • R Foundation.2015. The R project for statistical computing. R Foundation, Accessed September 2015: https://www.r-project.org/.
  • Safa, M., M. Safa, J. Allen, A. Shahi, and C. T. Haas. 2017. Improving Sustainable Office Building Operation by Using Historical Data and Linear Models to Predict Energy Usage. Sustainable Cities and Society 29 (February):107–17. doi:10.1016/j.scs.2016.12.001
  • Thornton, B.A., M.I. Rosenberg, E.E. Richman, W. Wang, Y. Xie, J. Zhang, H. Cho, V.V. Mendon, R.A. Athalye, and B. Liu. 2011. Achieving the 30% goal: Energy and cost savings analysis of Ashrae Standard 90.1-2010 (PNNL-20405). Richland, WA (US): Pacific Northwest National Laboratory (PNNL).
  • Vereecken, E., L. Van Gelder, H. Janssen, and S. Roels. 2015. Interior insulation for wall retrofitting – A probabilistic analysis of energy savings and hygrothermal risks. Energy and Buildings 89:231–44. doi:10.1016/j.enbuild.2014.12.031
  • Wan Mohd Nazi, W. I., M. Royapoor, Y. Wang, and A. P. Roskilly. 2017. Office Building Cooling Load Reduction Using Thermal Analysis Method – A Case Study. Applied Energy 185, Part 2 (January):1574–84. doi:10.1016/j.apenergy.2015.12.053
  • Yuill, D. P., and J. E. Braun. 2016. Effect of the distribution of faults and operating conditions on AFDD performance evaluations. Applied Thermal Engineering 106:1329–36. doi:10.1016/j.applthermaleng.2016.06.149
  • Zanardo, R. P., J. C. M. Siluk, F. de Souza Savian, and P. S. Schneider. 2018. Energy audit model based on a performance evaluation system. Energy 154:544–52. doi:10.1016/j.energy.2018.04.179

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.