Development of a Methodology for Auditing, Monitoring and Targeting Energy Use in Convenience Stores

Open Access
Leon Orellana, Guillermo I
Graduate Program:
Architectural Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
March 03, 2014
Committee Members:
  • James Freihaut, Thesis Advisor
  • Stephen James Treado, Thesis Advisor
  • Seth Adam Blumsack, Thesis Advisor
  • Building Energy Modeling
  • Convenience Stores
  • Energy Audit
  • Building Fleet Energy Monitoring
As the awareness of the fractions of primary energy use and emissions associated with commercial building operations grows, the need for a protocol-based methodology for continuous monitoring of energy performance of buildings is becoming apparent. In general, facilities managers face the challenge to know what factors are driving energy use in their installations, how they can effectively control and predict the energy consumption and quickly realize any deviations from expected energy use. Their main goal is twofold: to diminish operational costs and to comply with emerging regulations and building certifications that demand a reduction in electricity and gas consumption. One type of building that presents a particular challenge is convenience stores. Normally, these stores are franchise associated spread around hundreds of miles at multiple locations and are managed from a centralized energy management office. This type of buildings are characterized by having high energy use per unit floor area as a result of a considerable amount of food service related equipment in a small footprint, including hot and cold food service areas. Additionally, the stores are constantly subject to the impact of ambient weather conditions due to significant air exchange rates as a consequence of operational practices and high customer throughput. This study presents and develops a methodology to monitor and target energy use in convenience stores using inverse energy modeling and the application of the cumulative sum graph as the main tracking tool. It is believed that this technique can be used in energy monitoring of any high energy utilization intensity commercial building type and, with some modification, for commercial buildings of all sizes and functionality.