NewEnergyNews: TODAY’S STUDY: The Solutions In Data Analytics

NewEnergyNews

Gleanings from the web and the world, condensed for convenience, illustrated for enlightenment, arranged for impact...

While the OFFICE of President remains in highest regard at NewEnergyNews, this administration's position on the climate crisis makes it impossible to regard THIS president with respect. Below is the NewEnergyNews theme song until 2020.

The challenge now: To make every day Earth Day.

YESTERDAY

  • TODAY’S STUDY: The Cost Of An EV This Year
  • QUICK NEWS, October 15: Imagining Fates And Solutions; UK New Energy Going Incentive-Free
  • THE DAY BEFORE

  • TODAY’S STUDY: Roadmap To The Solar Future
  • QUICK NEWS, October 14: Deniers Fate Will Be Bankruptcy; Coal’s Demise, New Energy’s Rise
  • THE DAY BEFORE THE DAY BEFORE

  • Weekend Video: GE Challenges The Ocean Wind Industry
  • Weekend Video: Condescension, Not Climate Facts
  • Weekend Video: Just Greta
  • THE DAY BEFORE THAT

  • FRIDAY WORLD HEADLINE-Red Cross Calls For Climate Crisis Volunteers
  • FRIDAY WORLD HEADLINE-Cities Go Where Nations Fear
  • THE LAST DAY UP HERE

    THINGS-TO-THINK-ABOUT THURSDAY, October 10:

  • TTTA Thursday-A Bank For The Climate Crisis?
  • TTTA Thursday-Ocean Wind Now Mainstream
  • TTTA Thursday-Rooftop Solar Boosts Home Value
  • --------------------------

    --------------------------

    Founding Editor Herman K. Trabish

    --------------------------

    --------------------------

    Some details about NewEnergyNews and the man behind the curtain: Herman K. Trabish, Agua Dulce, CA., Doctor with my hands, Writer with my head, Student of New Energy and Human Experience with my heart

    email: herman@NewEnergyNews.net

    -------------------

    -------------------

      A tip of the NewEnergyNews cap to Phillip Garcia for crucial assistance in the design implementation of this site. Thanks, Phillip.

    -------------------

    Pay a visit to the HARRY BOYKOFF page at Basketball Reference, sponsored by NewEnergyNews and Oil In Their Blood.

  • ---------------
  • TODAY AT NewEnergyNews, October 16:

  • ORIGINAL REPORTING: Securitization fever: Renewables advocates seize a Wall Street way to end coal

    Tuesday, August 13, 2019

    TODAY’S STUDY: The Solutions In Data Analytics

    AMI-Driven Insights Report

    August 2019 (Bidgely)

    Executive Summary

    Advanced Metering Infrastructure is becoming ubiquitous throughout the utility industry, providing many sources of value for both utilities and ratepayers. When it comes to analytics in particular, Bidgely’s unique ability to unlock previously unavailable insights to help customers understand their consumption and take informed action has allowed the company to serve as a pioneer in the use of AMI data and analytics for customer engagement. However, the full potential benefits of analyzing this data have not yet been realized. With eight years of experience in load disaggregation and applying artificial intelligence to household consumption data, no other company is better equipped than Bidgely to help utilities unlock this value. This report is focused on the residential sector, Bidgely’s core area of expertise, though some of the analyses can also be applied to other markets. The goal of this report is to describe and provide examples as to how AMI data analysis can support utilities across core operational use cases. The executive summary highlights five of these use cases: non-wires-solutions, TOU rate optimization, EV adoption, rooftop PV analysis and demand side management. The balance of the report provides additional detail on each use case as well as anonymized, representative examples of analyses performed for utilities around the world. These examples are built from analytics provided by Bidgely’s Insights Engine.

    Non-Wires Solutions

    Non-wires solutions (NWS) are becoming increasingly important for utilities. However, the tools to plan and develop them have not yet matured. Load and savings potential are typically analyzed using aggregate estimates based on periodic surveys, and therefore are neither up to date nor sufficiently geographically specific. For example, if pool ownership is 3% in aggregate across the territory, the utility might determine that pool pump load shifting will not play a valuable part in its NWS. But what if in fact the load-constrained geography ownership is actually >20%? In that case, pool pumps should be a critical component of the NWS. Further, when implementing the solution, the utility will know which customers to target with which programs. This report will dive into the types of insights and analytics that are available to support NWS planning and execution.

    Time Of Use Rates

    Similarly to NWS, the ultimate goal of time of use rates (TOU) is generally load shifting\ across the whole population rather than just one substation or feeder line. Therefore, the analysis is similar. The benefit of disaggregation-based analytics is the ability to analyze at a more up-to-date and granular level and identify who would benefit from TOU rates, what kinds of loads are available to shift, and, as the program goes on, what applications customers are using to shift load.

    EV Adoption

    Electric vehicles present both a challenge and an opportunity for utilities. If they are integrated properly, they offer increased revenue potential. But at the same time, they threaten grid stability. Because EVs often cluster behind transformers and substations,they can have a big impact on the grid even at very low penetration and can easily cause local blackouts. However, the low penetration makes it very difficult to develop and market solutions for EV-specific issues. AMI-based EV detection and analytics unlocks the potential for utilities to target EV owners precisely,to ensure the EV adoption curve goes smoothly and benefits both utilities and customers.

    Rooftop PV

    While most utilities currently know which homes have rooftop PV, they generally don’t have submetering on the PV. This limits their ability to identify precisely how much energy is being fed back into the grid. Analysis of net consumption AMI data allows utilities to develop an 8760-hourper-year energy production profile for each home, thereby analyzing the effect of PV on the grid and planning PV rates without having to deploy expensive submetering.

    Demand Side Management

    AMI-based end-use disaggregation can improve DSM programs at every stage, including program planning and estimation, program targeting, analysis and supporting M&V. This report will dive deeper into these use cases, and provide examples as to how these ideas can be applied to specific types of programs.

    0 Comments:

    Post a Comment

    << Home