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Load profiling for energy consumption establishes customer demand and consumption patterns used for analyzing energy use and optimizing energy rates.  Utilities use load profiling as the means by which each electric customer is allocated a portion of the hourly system loads. Load profiling establishes the tariff structure offered by the utility to entire classes of customers.

Problem:  Customer load profiles determine the rate or price by which energy will be charged, as well as offering critical insights into consumption behavior or requirements. Many organizations do not have the tools to calculate their load curves, to understand the points in time that create statistically significant rate or price shifts, or to analyze these profiles for better understanding of underlying consumption drivers.  Load curves provide essential data required to understand and react to pricing signals embedded within all tariffs.  This lack of visibility precludes energy cost and usage optimization in the following ways:

  • inability to understand and undertake load shifting to participate in Demand Response programs
  • inability to quantify the advantage of time-of-use rates
  • inability to identify anomalies in load curves (compared against industry and internal benchmarks) that result in unnecessary energy consumption

Solution: Prenova’s technology-enabled solutions create load profiles and relevant analyses for ensuring our customers receive optimum energy rates and gain visibility into energy consumption improvement opportunities. We use dynamic modeling techniques that incorporate historical load shapes and include weather response functions into the profiling method.

If IDR’s or sub-metering is installed, Prenova can perform dynamic load profiling.  We remotely collect data from the meters, validate the data, and produce daily load profiles. This approach is essentially a “real-time” construction of a customer’s load shape.

Prenova has also pioneered the development of a unique methodology to create a customer’s load duration curve, where demand data is ordered in descending order of magnitude. This is an important visibility tool: over any relevant time period (day/week/month/season), customers can quickly pinpoint the amount of time the most energy is consumed. Prenova can then use that information to determine most optimal Demand Response program, or can secure customers the optimal “load following” rate. Our operational knowledge and asset management tools allow us to “peel back” that block of highest usage to determine root causes, and pinpoint areas for improvement. Just as crucial is the correlation between the structure of supply pricing and demand behavior. Prenova regularly tracks the real-time changes in prices that reflect the time-varying cost of producing electricity: using a customer’s load duration curve, we can secure the most optimal price/rate based on load duration.

Outcome: There is a tightly integrated interaction between the structure of supply pricing and demand behavior.  Prenova understands that intricate interplay.  We use our knowledge to create customer-specific scenarios using both load profile and load duration curves. We assist our customers in analyzing the trade-offs between pricing programs and demand reduction programs to optimize overall energy expenditures. Prenova drives the most profitable outcomes in collaboration with our customers.