Presentation Transcript

1. The Energy Data Initiative Selected Datasets & Tools Energy Data Jam July 9, 2012
2. Table of Contents Purpose of this presentation is to provide a quick-reference to high-value sets of Open Data and related tools: Buildings Performance Database Solar geospatial information and tools Green Button Slides 2-6 Slides 7-11 Slides 12-17

3. 1. Buildings Performance Database

   Background Technical Details Data Available
4. What is the BPD? The DOE Buildings Performance Database (BPD) is a database of building characteristics and energy consumption. BPD enables engineering and financial practitioners to evaluate energy efficiency products and services in commercial and residential buildings. The initial tool set includes: Energy Performance Forecasting Tool that uses an actuarial based methodology to develop energy savings distributions Financial Forecasting Tool that forecasts cash flows from those energy savings distributions. Available at eere.energy.gov/buildings/buildingsperformance
5. BPD: A National Standard 3 Energy Performance Forecasting Tool Common taxonomy: a standardized “data model” to organize energy use and building characteristic data Applications: web-enabled tools that leverage data to forecast energy savings and related cash flows. As more use-cases are identified, additional tools will be created and released to the market 2 Data Management Cleansing, Validation, and Ingestion Processes 3 1 Financial Risk Management Tool 4 External Data Sources Third Party Tools API
6. Data Available Types of Data Included: Building Type Office, Retail, Education, etc. Location and Organization Type State, Ownership Category Building Floor Area Square Footage, Number of Floors Equipment Inventory HVAC, Lighting, Hot Water, Appliance, etc. Exterior Building Characteristics Window and Door Characteristics, etc. Commercial Energy System Configuration On Site Generation, etc. Residential Characteristics Number of Rooms, Room Types and Features, etc. Energy Consumption Electric and Gas; Annual, Monthly or Interval Data A non-proprietary subset of BPD for Dayton and Gainesville areas are provided as an example of the database information Sample formatted as CSV (future development includes API) Available data fields limited by original use; new datasets should have additional fields as defined by BPD taxonomy
7. BPD Use Case Commercial Cooling Retrofit At input screens (left) the location, building type, and type of retrofit (in this case, an air handling project) The output (below) shows annual electricity savings for the retrofit, including a probability distribution

8. 2. Solar Data and Tools

   Solar Resource Data OpenEI Solar Gateway NREL Solar Tools
9. Solar Irradiance Data NREL compiles solar irradiance data from a variety of sources Data varies by scope, time frame, and collection method Data is available as maps or in tabular or spatial data Accessed at nrel.gov/rredc/solar_data.html Similar tools are available for wind, geothermal and biomass resources Format varies by dataset National Solar Radiance Database provides nationwide hourly solar radiation data Available in RDF and XML formats Accessed at en.openei.org/datasets/node/39
10. PVWatts/IMBY NREL’s PV Watts platform allows users to calculate estimates of PV cost and energy output Users enter location information about system size and orientation Model produces estimate of system energy output with, including hourly data Available at www.nrel.gov/rredc/pvwatts In My Backyard (IMBY) builds upon the PV Watts platform Adds a more user-friendly platform and spatial interface Available at www.nrel.gov/eis/imby
11. Open PV Public/private collaboration that compiles existing solar installations to track the deployment of solar infrastructure Dataset is open to industry professionals and individuals to upload additional information Dataset includes an ongoing validation process to ensure data quality and consolidate duplicate records Users able to access aggregate or non-identifiable information about PV projects A variety of data visualizations are also available Database includes over 160thousand projects, with an installed capacity of over 2,500 MW Available at openpv.nrel.gov
12. Financial and Decision Tools Cost of Renewable Energy Spreadsheet Tool (CREST) Excel-based planning model that estimates project cash flow, levelized cost, and other financial and production metrics Useful in setting incentive levels Inputs include project finances and energy production data Available at financere.nrel.gov/finance/content/crest-cost-energy-models System Advisor Model (SAM) Sophisticated standalone model of financial and performance metrics of proposed renewable energy incentive programs, including solar Model allows for detailed inputs regarding system characteristics, program finances, and incentive policies Users can conduct sensitivity analysis and optimize program inputs Available at sam.nrel.gov

13. 3. Green Button

    Background Technical Details Growing Utility Participation Private Sector Innovation
14. What is Green Button? Green Button is the common-sense idea that electricity customers should be able to download their own energy usage information in a consumer- and computer-friendly format
15. Green Button Facts Green Button is an industry-consensus data standard allowing utility customers to download their own detailed energy data 22 utilities committed so far, serving 31 million customers 13 million customers with access today Available for electric customers and some gas customers; expanding into more gas services and water Works with both AMI and AMR meters Can be uploaded to third-party apps to provide innovative services Over 80 apps already available or under development Data transfer Green Button Download My Data: data transferred from the utility to the customer Green Button Connect My Data: automated data transfer from the utility to a third party with customer authorization Output: Time Interval, Energy Consumption Data Format: XML Website: www.greenbuttondata.org
16. Growing Industry Momentum In September 2011, the Administration challenged the energy industry to adopt a common standard to give customers their own energy data First utilities launched Green Button in January 2012 To date, 22 utilities and electric suppliers have committed to providing Green Button capabilities to over 31 million homes and businesses 13 million customersalready have accessto Green Button Map of Green Button Commitments
17. Green Button Potential Insight: entrepreneur-created web portals analyze energy usage and provide actionable tips; Heating and Cooling: customized heating and cooling activities for savings and comfort; Education: community and student energy efficiency competitions; Retrofits: improved decision-support tools to facilitate energy efficiency retrofits; Verification: measurement of energy efficiency investments; Real Estate: provide energy costs for tenants and/or new home purchasers; and Solar: optimize the size and cost-effectiveness of rooftop solar panels. Green Button Apps! openei.org appsforenergy.challenge.gov
18. Examples of Current/Planned Uses Private-sector companies are already creating innovative services using Green Button data: FirstFuel will combine Green Button data from commercial buildings with weather and GIS data to create “zero-touch” virtual energy audits EnerNOC is using Green Button to streamline customer qualification and on-boarding in its Energy Management Application Platform Belkin, a manufacturer of hardware connectivity devices and accessories – including its Conserve line of energy-oriented products like surge protectors and energy monitors – is looking into using Green Button data in future products SunRun intends to use Green Button data to optimize the size of residential solar installations, dramatically shortening the time it takes to install solar panels and reducing consumers’ solar “hassle factor” Leafully and Wotz, winners from DOE’s Apps for Energy contest, make energy data more accessible and engaging to consumers by converting their consumption into more tangible metrics (like trees) and offering creative visualizations of their energy load Note: All company references from public web sites