Performance Metrics and Objective Testing Methods for Energy Baseline Modeling Software

摘要

With advances in energy metering, communication, and analytic software technologies,rnproviders of Energy Management and Information Systems (EMIS) are opening new frontiers inrnbuilding energy efficiency. Through their engagement platforms and interfaces, EMIS productsrncan enable energy savings through multiple strategies including equipment operationalrnimprovements and upgrades, and occupant behavioral changes. These products often quantifyrnwhole-building savings relative to a baseline period using methods that predict energyrnconsumption from key parameters such as ambient weather conditions and operation schedule.rnThese automated baseline models streamline the M&V process and are of critical importance tornowners and utility program stakeholders implementing multi-measure energy efficiencyrnprograms.rnThis paper presents the results of a PG&E Emerging Technology program, undertaken tornadvance capabilities in evaluating EMIS products for building-level baseline energy modeling. Arngeneral methodology to evaluate baseline model performance was developed and used withrnhourly whole-building energy data from nearly 400 small and large commercial buildings.rnEvaluation metrics describing model accuracy were identified and assessed for theirrnappropriateness in describing model baseline performance, as well as their usefulness forrnidentifying and pre-screening buildings for whole-building savings estimation suitability. Thernstate of five public-domain models was assessed using the methodology and test data set, andrnimplications for whole building M&V described. Finally a protocol was developed to test EMISrnvendor’s proprietary models while navigating practical issues concerning test data security,rnvendor intellectual property, and maintaining appropriate testing ‘blinds,’ while processing arnlarge data set. Ongoing work entails stakeholder vetting, demonstration of the test proceduresrnwith new baseline models solicited from the public, and publication of the results for industryrnadoption.