Closed dpinney closed 9 years ago
From TJ:
OpenEI.org data analysis • What did is there? What is useful/valuable? • Don’t need weather data • Economic data is useful (rates and incentives) • Is there an API for exporting the data easily? • Give sources, and explanation
Extracting data documentation: API documentation for extracting utility company information, utility rates, and incentives for renewable energy http://en.openei.org/services/doc/rest
Data: Utility rate info: Storehouse of rate structure information from 3908 utilities with 42201 rates. Can be pulled out with API into excel or other formats http://en.openei.org/wiki/Gateway:Utilities
NREL/Ventyx data from February 2011 on rates, csv: http://en.openei.org/datasets/node/899
Annual Summary Electricity States for the US: Contains annual data from 1998-2009 at the national level for electricity generation; capacity; consumption and cost of fossil fuels; sales, price and revenue; emissions; demand-side management; and operating revenues, expenses, and income https://explore.data.gov/Energy-and-Utilities/Annual-Summary-Electricity-Statistics-for-the-U-S-/9ttb-gcx7
Incentives and Policies: Database of State Incentives for Renewables and Efficiency (DSIRE) and Eastern Interconnect Energy Zones Policy Inventory Can be pulled out into JSON or XML format through API. DSIRE data can be downloaded by state as a CSV. EZ policies can be downloaded all at once as a CSV http://en.openei.org/wiki/Gateway:Incentives_and_Policies
NREL State and Local Policy analysis that focuses on the impacts of various state RPS. http://www.nrel.gov/analysis/policy_state_local.html
Project Costs: Smartgrid.gov dataset on the costs of various smart grid technology projects across the US. Gives information on the type of project, the utility running the project, number of customers, meters, and costs, excel chart. http://en.openei.org/datasets/node/928
Tools: Energy Storage Computational Tool to quantify monetary benefits of storage (Navigant Consulting): Used for identifying, quantifying, and monetizing the benefits of grid-connected energy storage projects to calculate the net present value over the system lifetime. https://www.smartgrid.gov/recovery_act/program_impacts/energy_storage_computational_tool
Interruption Cost Estimate Calculator by DOE: Estimates short-term interruption costs, designed by Lawrence Berkeley NL, apparently not super effective. Major study in 2006 based on 2003 interruption sparked this tool. http://icecalculator.com/ http://emp.lbl.gov/sites/all/files/REPORT%20lbnl%20-%2058164.pdf –related study by LBNL
The situation does not seem to have improved over the years, “reporting on interruption costs is so deficient, the actual price of an interruption can only be estimated”.- Perfect Power Institute in a 2012 report. Estimates by EPRI (2001), DOE (2010), and the LBNL (2006) range from $30-$400 billion for the yearly cost of interruptions. http://www.perfectpowerinstitute.org/sites/default/files/Investing%20in%20Grid%20Modernization.pdf
SmartGrid Computational Tool (Navigant Consulting): Identifies and quantifies smart grid project benefits including economic, reliability, environmental, and security. https://www.smartgrid.gov/recovery_act/program_impacts/computational_tool
Cool Roof Calculator: Estimates heating and cooling savings from using flat roofs and non-black surfaces. Could be added as another attribute to the houses? http://en.openei.org/wiki/Cool_Roof_Calculator
Figure out what to do about - *99 Platform: reference feeder, grid hardware, climate, real estate and electricity market source databases.
Yet another: https://bpd.lbl.gov
Pop up again here. Have you heard about this one? https://www.openstudio.net/.
I haven't. Looks like some nice building ernergy management modeling tools. We'll take a look. Thanks.
This is all great research. I'm closing this issue to move it to another project.
The most relevant pieces for our members, probably: incentives, project costs, building performance, interruption costs.
This should be informed by the monetization work.
But as it is:
TJ Did a good survey (below).