Joseph P Hirl

US Patent:

20120173456, Jul 5, 2012

Filed:

Nov 23, 2011

Appl. No.:

13/303209

Inventors:

Joseph P. Hirl - Raleigh NC, US

International Classification:

G06Q 40/06
G06F 17/00
G06N 5/02

US Classification:

705 36 R, 706 46

Abstract:

Disclosed herein is an energy management decision support system and methods for asset managers of buildings and facilities that can utilize energy usage data captured from meters, such as smart meters, and weather data to provide a systems-based cost reduction and optimization solution for end users. Building system components may be highly inter-dependent and changes to one system element can have substantial effects (positive and negative) upon other system elements. As described in further detail herein, system and method embodiments according to the present disclosure may apply predefined criteria to such building energy usage data to identify energy usage variances, and may graphically present to a user the identified energy usage variances. As a result, facility administrators are provided with more easily interpretable energy usage information. Such information may be applied by the administrators for adjusting operations, upgrading building equipment, or retrofitting building equipment to improve building efficiency.

US Patent:

20140040089, Feb 6, 2014

Filed:

Oct 7, 2013

Appl. No.:

14/047347

Inventors:

Joseph P. Hirl - Raleigh NC, US

International Classification:

G06Q 40/00
G06Q 50/16

US Classification:

705 35

Abstract:

Disclosed herein is an energy management decision support system and methods for asset managers of buildings and facilities that can utilize energy usage data captured from meters, such as smart meters, and weather data to provide a systems-based cost reduction and optimization solution for end users. Building system components may be highly inter-dependent and changes to one system element can have substantial effects (positive and negative) upon other system elements. As described in further detail herein, system and method embodiments according to the present disclosure may apply predefined criteria to such building energy usage data to identify energy usage variances, and may graphically present to a user the identified energy usage variances. As a result, facility administrators are provided with more easily interpretable energy usage information. Such information may be applied by the administrators for adjusting operations, upgrading building equipment, or retrofitting building equipment to improve building energy usage and reduce costs.