The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 17, 2019
Filed:
Jun. 30, 2018
Carbon Lighthouse, Inc., San Francisco, CA (US);
Brenden Samuel Millstein, El Cerrito, CA (US);
Raphael Chayim Rosen, Berkeley, CA (US);
Francisco Isenberg, San Francisco, CA (US);
Emma Bassein, San Francisco, CA (US);
Matthew Ganser, San Francisco, CA (US);
Amy Watson Figueiredo, El Cerrito, CA (US);
Charlotte Stone Helvestine, San Francisco, CA (US);
Louis Francois Langlois, San Francisco, CA (US);
Angela Karen Kwok, San Francisco, CA (US);
William Joseph Hayes, San Francisco, CA (US);
Niels Godfredsen, San Francisco, CA (US);
Dan Wei, Union City, CA (US);
William Dale Vaughn, San Francisco, CA (US);
Carbon Lighthouse, Inc., San Francisco, CA (US);
Abstract
The present disclosure describes a system, method, and computer program for modeling and predicting energy use by non-plug-load mechanical/electrical systems in a building, such as lighting systems or HVAC systems. The present disclosure also discloses methods for using such models and predictions to identify energy saving measures for a building. An energy-consumption model for a building is built from energy-consumption models for components within the mechanical-electrical systems. Inputs to the energy-consumption model (i.e., values of variables in the energy-consumption model) are measurable, and behavior models are created for each of the inputs primarily from sensor and/or other measurement-device data. Using the behavior models, weather data, and the energy-consumption model for the building, a predicted non-plug-load energy use for the building is calculated based on the current configurations of the mechanical/electrical systems. Potential energy saving measures are identified by modeling the energy-consumption of alternate physical configurations of the mechanical/electrical systems.