Table of contents
- Glimpse Calculator Technical Methodology
- Glimpse Calculator Technical Methodology: API
- Building Stock and Portfolio Studies
Glimpse Calculator Technical Methodology
Learn how the Glimpse Calculator leverages building energy modeling, U.S. building stock data, and equipment specifications to analyze energy savings.
The Technical Methodology at a Glance
| Concept | Description |
|---|---|
| Intro | Glimpse Calculator is a software technology developed by the Constellation Navigator Virtual Energy Efficiency Team. It replaces resource-heavy manual consulting processes by combining building energy modeling, U.S. building stock data, and the latest technology specs to analyze the energy savings of Energy Improvement Measures (EIM). |
| Energy Models |
Uses live building energy models created and simulated
in Energyplus. These simulate building-environment
interactions at hourly/sub-hourly levels, capturing
specific geometry, construction, lighting, HVAC,
and DHW configurations. |
| Input & Scenarios | Calculations are structured at the building level. Missing user inputs are inferred from building stock data to create a “Baseline” scenario. EIMs are then applied to create “EIM” scenarios. All models are simulated for a year using the closest Typical Meteorological Year (TMY) weather environment. |
| Output Metrics | Produces baseline results (annual energy usage, utility cost, emissions) and EIM impact results. Optional analyses include required investment, life cycle impact, available rebates, benchmarking, and building performance standards analysis. |
Public Data Sources
| Data Category | Sources & Application |
|---|---|
| Building Stock Attributes | When not input by the user, Glimpse infers over 500 attributes based on age, function, climate, and main heating fuel. Major sources include DoE Commercial Reference Buildings, PNNL Residential Prototypes, EIA’s CBECS & RECS, manufacturer specs, and the American Community Survey. |
| Weather & Climate | TMY weather data is sourced from the official EnergyPlus database (TMY3 data). Future weather can be constructed using climate change model outputs from the WCRP’s CMIP58 multi-modal dataset. |
| Utility Rates & Emissions | Electric utility rates use proprietary sources, the OpenEI US Utility Rate Database, or state/industry averages from EIA databases. Emissions factors for electricity and combustible fuels come from Constellation Navigator’s Carbon Accounting API. |
Reference Links
Capabilities
| Methods | Features |
|---|---|
|
|
Glimpse Calculator Technical Methodology: API
Integrate the Glimpse Calculator directly into your own software using our comprehensive API, offering both simple (pre-simulated) and detailed (on-demand) calculations.
Developer Information
The Virtual Energy Efficiency Team maintains robust and up-to-date API documentation. Access to our endpoints, authentication guides, and schemas are readily available for approved integrators.
| Resource | Details |
|---|---|
| API Documentation |
Available on
ReadMe. Note: This page is only accessible to API Members (Become an API member today). |
Simple Building Calculations (Tier 1)
The simple API offers the same output options as the detailed API, but is designed for use cases when only a minimal amount of information is known about a building.
Faster Response Times
This method speeds up response time significantly because a model for each possible combination of the required parameters has been pre-simulated, removing energy model simulation time from the equation.
| Requirement | Details |
|---|---|
| Required Attributes |
|
Detailed Building Calculations (Tier 2)
The detailed API provides access to on-demand building energy models. It creates models of the baseline and EIM scenarios, simulates them, and processes the results in real-time.
| Component | Details |
|---|---|
| Inputs | Energy-relevant attributes of roofs, walls, windows, skylights, lighting systems, HVAC systems, hot water systems, elevators, and operations characteristics. (Includes Tier 1 inputs to allow the Calculator to make assumptions for missing values). |
| Calibration Feature | If utilizing calibration, the user must pass monthly energy usage per fuel type used in the building for each month in a representative year. |
| Standard Outputs | Annual energy usage, utility cost, and emissions of the baseline scenario, plus the savings of all three metrics for each of the simulated EIMs. |
| Optional Outputs |
|
Building Stock and Portfolio Studies
The Virtual Energy Efficiency team offers streamlined access to the Glimpse calculator through advisory contracts, helping businesses and municipalities gain energy efficiency insights at a massive scale.
Scale and Application
We perform large-scale analyses across a variety of geographic and commercial boundaries.
| Analyses Performed On | Examples of Insights Produced |
|---|---|
|
|
Insights with Just an Address
If a portfolio is represented only by a list of addresses, our team uses proprietary sources to find the necessary Tier-1 parameters (building type, heating fuel, square footage, date of construction, and zip code).
| Step | Process & Resolution |
|---|---|
| 1. Data Sourcing | Each address goes through a minimum of two data sources to find the required Tier-1 attributes. |
| 2. Heating Fuel | If heating fuel is not publicly available, CBECS, RECS, or ACS data is used alongside building type and location to assign probabilities and select a fuel type via a uniform distribution. |
| 3. Fill Blanks | If attributes (other than heating fuel) are missing, dataset averages are used to fill in the blanks based on building type or the general set. |
| 4. Edge Cases | If an address is missing or represents a partial building (e.g., a specific apartment unit), we work with the client to resolve parameters. We can utilize public floor/unit counts to calculate unit square footage, or use the client's internal data to generate square footage assumptions. |
| 5. Calculate | The team accesses the Glimpse Calculator through the Tier-1 API and organizes the results by building. |
| 6. Deliver | Any subsequent, custom analyses are performed and delivered to the client. |
Customization Options
Working with the Virtual Energy Efficiency team allows for deep customization of the calculation process.
| Customization Type | Description |
|---|---|
| Detailed Modeling (Tier-2) | If a building dataset has additional information (e.g., known wall, window, or roof types), these are incorporated into the calculations using the Tier-2 Detailed method. |
| Specific EIMs | If specific hardware is being considered (e.g., installing a partner’s specific cold-climate heat pump model), that exact EIM can be built out and automated across applicable buildings. |
| Rates & Emissions | If specific utility rates or emissions factors apply to your portfolio, those exact figures are used to calculate resulting energy costs and emissions. |
Map User Interface
The map user interface helps clients view and interact with portfolio results by adding 3D building attributes to the data set.
- Geocoding: Latitude and longitude are found for each address via Google’s geocoding API. (If this fails, the building is not displayed on the map).
- 3D Rendering: Using the coordinates, Constellation Navigator’s geographic information vendor checks for overlapping 3D building attributes. If found, a 3D building is rendered; if not, a general building icon is shown.
- Interaction: Clicking the 3D building or general icon reveals the baseline and EIM results associated with that building via a waterfall graph.