Open EE Meter

Data analysis & visualization of energy savings projects, to ultimately empower utilities and contractors to improve the efficacy of energy savings programs. An open-source project, based upon transparent data standards.

Project Background

The current state-of-the-art in energy program evaluation is far from ideal, hindered by a lack of feedback loops and misaligned interests. Implementers, utilities, regulators, and contractors are delayed for years without standard and readily accessible calculations of realized savings, restricting their ability to make strategic changes to energy savings programs.

The absence of timely evaluation prevents ongoing comparisons of various programs, implementers, contractors, and utilities, which would otherwise foster healthy competition and benchmarking. These problems exist in spite of increasingly ubiquitous analytics resources, such as interval metering and readily available weather normalization. The Open EE Meter dashboard helps alleviate these problems, by creating a trusted and transparent system to measure and provide near real time feedback on energy savings.

Dependencies

• jQuery
• Highcharts
• Bootstrap

How to use

Adding Data

Put raw data (in csv form) in data/raw/

There should be three raw data files:

1. savings.csv - actual & predicted savings for energy savings projects
   note: if you want to create an anonymized savings.csv file from non-anonymized data, use anonymize.py required columns:
   • project_id
   • contractor
   • electricity_iou
   • gas_iou
   • weather_normalized_yearly_kwh_savings
   • weather_normalized_yearly_therm_savings
   • predicted_yearly_kwh_savings
   • predicted_yearly_therm_savings
2. projects_additional_info.csv - additional info on energy savings projects
   required columns:
   • project_id
   • zipcode
   • retrofit_start_date
   • retrofit_end_date
3. zipcode_to_lat_lng.csv - a mapping of zipcodes to their lat/long center
   required columns:
   • zipcode
   • lat
   • lng

Processing Data

To prepare and process the data for the open-ee-meter:

cd data
make all

This will create the build/ & finished/ directories. To clean the build/ & finished/ directories, run make full_clean

Running Locally

This is a jekyll site. To run it locally:

jekyll serve

Errors / Bugs

If something is not behaving intuitively, it is a bug, and should be reported. Report it here: https://github.com/datamade/open-ee-meter/issues