Energy Innovation

CRN Contact: Brian Sloboda, Senior Program Manager
Do you have a questions about CRN Energy Innovation research? Send your inquiry to our staff.

Active Projects:
  • Estimated Useful Life of Energy Efficiency Improvements
    To create  a list of the expected life of key energy efficiency measures, focusing on the most common co-op sponsored programs;  a how-to guide to help co-ops conduct the calculations for themselves to achieve more accurate answers; and guidelines for offering reasonable incentives to assist co-ops in maximizing existing energy efficiency programs and planning new ones.
  • Evaluating and Demonstrating Solid State Lighting at Co-op Facilities
    Two-year testing of various applications for Solid State Lighting, including parking lot lamps at Buckeye Power and Hoosier Energy; interior lamps at Freed Hardman University which is served by Southwestern Tennessee EMC; roadway lamps at Dakota Electric; and a dairy and swine barn in the service territory of Western Farmers Electric. Results reported via quarterly newsletters, three web conferences, three sessions at NRECA conferences, and four videos.
  • LED Dusk-to-Dawn Study
    Based on the success of CRN’s LED research, LumaVue has contracted CRN to test two of their dusk to dawn lamps at East Central Iowa REC.
  • LED Agricultural Applications Demonstration — Phase I
    Working with key stakeholders within the agricultural sector, SSL manufacturers, energy companies and future funding organizations to define a research plan and funding for scientific evaluation of production benefits resulting from LED lighting application at agricultural facilities.
  • Pre-paid Metering:  Business Case for Electric Cooperatives
    Report on technical and marketing issues surrounding the deployment of pre-pay metering, including case studies with lessons learned.  Available online.
  • Service Design to Influence Behavior
    To provide a systematic way to determine which electric service designs are best for different customer and market circumstances, including ways to characterize customer preferences and forecast system impacts that could result from adoption of new service and pricing plans.