Building Efficiency Intelligence Platform Overview

The on-demand Building Efficiency Intelligence™ (BEI) software platform offers two powerful solutions - Virtual Energy Assessment™ and Automated Energy Audit™ - that deliver rapid identification of commercial buildings with high potential for energy savings and cost-effective evaluation of efficiency measures. These solutions enable energy services providers, utilities and building owners to be more effective, beginning with the sales and opportunity identification process through making final operational and system retrofit energy efficiency recommendations. These solutions provide insights in actionable, customizable reports that drive stakeholder buy-in.

Our Solutions

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Overview

Retroficiency's Virtual Energy Assessment (VEA) solution accurately identifies no- and low-cost operational and system retrofit recommendations without ever visiting a building. Requiring just a building address and 12 months of historical energy consumption interval data^?, VEA employs sophisticated data analytics to spot Energy Conservation Indicators™ (ECIs) - actionable recommendations related to lighting, heating, cooling, building controls and more - with associated energy savings.

How it's used

Utilities: Commercial and Industrial (C&I) program managers seeking to rapidly prioritize a large portfolio of commercial buildings and identify candidates for specific rebate programs
ESCOs, facility managers and other energy service providers looking to deliver new lower-cost assessments that demonstrate potential energy savings to clients
Building owners and investors attempting to cost-effectively prioritize their commercial portfolio and determine no- and low-cost energy savings opportunities

How it works

Virtual Energy Assessment delivers operational and retrofit recommendations by leveraging an extensive database of commercial building models and advanced data analytics. Using a proprietary matching engine, VEA forms a unique weather-normalized reference model for each building and compares it to the building's actual performance to determine overall dollar and energy savings estimates.

VEA then disaggregates building end use loads - such as heating, cooling and lighting - and identifies suboptimal usage patterns - such as excessive unoccupied energy use, simultaneous heating and cooling and chiller inefficiencies - to determine the drivers of a building's inefficiency.

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Overview

Automated Energy Audit (AEA) reduces time and expense from the commercial building auditing process, whether you have limited building asset data^? or are performing a more detailed audit. AEA allows auditors to input the building information they have available and further refine their recommendations as they verify specific building characteristics - streamlining data input, making sophisticated ECM calculations and evaluating thousands of retrofit recommendations along the way.

How it's used

ESCOs seeking to qualify energy efficiency prospects and validate savings to reduce performance contract risk
Energy service providers, facility managers, engineers and other professionals that want to improve their energy assessment productivity by up to 80%.

How it works

Automated Energy Audit takes building asset data^? information as it is available, and based on data from tens of thousands of real-world energy audits, makes accurate inferences about a building's energy systems and builds detailed energy models of the specific building. AEA then continually evaluates thousands of potential retrofit and operational opportunities through its expanding proprietary database of Energy Conservation Measures.

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Definitions

Energy consumption interval data is a record of a building's energy consumption levels, with readings made at regular intervals throughout the day, every day, over an extended period of time. Interval data can be obtained from utility company meters, building control systems or increasingly from energy service provider- or building owner-installed smart meters.

Building asset data is information related to general building characteristics and energy systems in the building. This could include basic information such as the year built or facility use type (e.g., office, warehouse, etc.), to more specifics, such as heating ventilation and air-conditioning systems, lighting and lighting controls, envelope and windows.

Fortune 100 Company

A well-known Fortune 100 finance company wanted to gain LEED status for all of its buildings. Three of their buildings presented a challenge as they were unable to get ENERGY STAR rated, a requirement for LEED certification. The company hired external engineering experts who identified 15 improvements for each building that would help them meet their goals. Retroficiency was engaged to demonstrate their technology to develop recommendations and help validate the external company's findings with a calibrated energy model.

Using proprietary technology with minimal information from on-site facility managers (and no site visits), Retroficiency was able to construct and calibrate energy models. By running these models against our database of thousands of energy conservation measures, we were able to offer recommendations that increased ENERGY STAR ratings by an average of 31% and had less than 2 year paybacks. In terms of annual savings, we found more than $85k in operational changes and $45k in physical retrofits. Once we had calibrated energy models we showed that 12 out of the 15 retrofits recommended by the external engineers (and almost $2M in spend) had paybacks greater than 67 years and were not necessary to meet the desired goals.

Leading Facility Management Company

Retroficiency was asked to evaluate 3 buildings totaling 1.2M square feet. The goal was to test the ability of our platform to do high-level quick evaluations of multiple buildings. In addition, they wanted to calibrate the energy models on all three buildings to test the depth of the analysis and performance of the models.

To start, the facility management company was given online access to the Retroficiency platform and spent about 30 minutes entering high-level information about the buildings. Within 3 hours of submitting this information, the energy managers were sent an email notifying them that their initial reports were available. These reports showed combined annual savings opportunities of $883k at the 3 buildings � all with less than 6 year paybacks.

Next, the energy managers were able to access, evaluate, and change the inferred data on all of their buildings. After submitting these changes, the energy models were updated. Retroficiency then used 12 months of utility data to calibrate the models to ensure accuracy. The ECM database was again run against these models and new savings and cost numbers were produced.

The process from start to detailed output took 5 days and did not require site visits. The software found more than $2.5M in annual savings with all paybacks less than 6 years.

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Building Efficiency Intelligence Platform Overview

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Fortune 100 Company

Leading Facility Management Company