Barry FischerFollow


Many energy consumers such as corporations and retail customers purchase carbon-free electricity, e.g., solar, wind, hydroelectricity, etc. These energy consumers often lack an easy or insightful way to visualize the role of carbon-free electricity in the context of their overall energy use, especially in fine-grain temporal detail, e.g., on an hourly or sub-hourly basis. This disclosure describes techniques that generate, at high temporal resolution, an automated, data-driven, visual representation of an energy consumer’s carbon-free electricity profile. The visual representation, which can be in the form of a heat map, conveys the relative amounts of carbon-based and carbon-free components in the consumer’s energy portfolio.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.