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MS-Thesis-Pickering.pdf (14.71 MB)

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EDIFES 0.4: Scalable Data Analytics for Commercial Building Virtual Energy Audits

Pickering, Ethan M
http://orcid.org/0000-0002-4485-6359
http://rave.ohiolink.edu/etdc/view?acc_num=case1467986734

Abstract Details

2016, Master of Sciences (Engineering), Case Western Reserve University, EMC - Mechanical Engineering.
Energy Diagnostics Investigator for Efficiency Savings (EDIFES) has been developed for scalable data analytics to conduct virtual energy audits on commercial buildings. Built as a software package in R, EDIFES ingests building electricity data and readily available weather data, applying various data analytics to determine building markers, characteristics, and operational tendencies. Through these analyses building systems are identified, including Heating Ventilation and Air Conditioning (HVAC), lighting, and plug load or other equipment, with characteristics such as load and system scheduling. Once building systems have been identified, EDIFES conducts virtual energy audits to diagnose efficiency issues, determines the impact (i.e. return-on-investment or payback) of potential retrofit actions (e.g. rescheduling HVAC to occupied hours or conducting a lighting retrofit). After this stage, it can be used for measurement and verification (M\&V) or continuous commissioning. Six buildings are presented in this thesis.
Alexis Abramson, PhD (Committee Chair)
Roger French, PhD (Committee Co-Chair)
Joseph Prahl, PhD (Committee Member)
135 p.
Civil Engineering; Computer Science; Energy; Engineering; Mechanical Engineering
building energy efficiency; data analytics; virtual energy audit; disaggregation; electricity consumption; commercial buildings; time series decomposition; statistical modeling; regression analysis; R; HVAC; EDIFES

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Citations

  • Pickering, E. M. (2016). EDIFES 0.4: Scalable Data Analytics for Commercial Building Virtual Energy Audits [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1467986734

    APA Style (7th edition)

  • Pickering, Ethan. EDIFES 0.4: Scalable Data Analytics for Commercial Building Virtual Energy Audits. 2016. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1467986734.

    MLA Style (8th edition)

  • Pickering, Ethan. "EDIFES 0.4: Scalable Data Analytics for Commercial Building Virtual Energy Audits." Master's thesis, Case Western Reserve University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1467986734

    Chicago Manual of Style (17th edition)

case1467986734
502
© 2016, some rights reserved.Creative Commons License EDIFES 0.4: Scalable Data Analytics for Commercial Building Virtual Energy Audits by Ethan M Pickering is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.