Energy and chemical species utility management system

• US 20070150333A1
• Filed: 09/05/2006
• Published: 06/28/2007
• Est. Priority Date: 09/02/2005
• Status: Abandoned Application

• Current Assignee: Support Technical Service, Inc.
• Original Assignee: Support Technical Service, Inc.
• Inventors: Hurst, Roger, Allan, Peter, Kritzinger, Johan, Khater, Ajay, Ellison, Brent
• Application Number:
  US11/515,957
• Publication Number:
  US 20070150333A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 50/04 Manufacturing
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02P 90/30 Computing systems specially adapted for manufacturing

Abstract

A method for energy and chemical species utility management having an integrated software system and infrastructure arrangements configured to manage one or more levels of utilities operation, arranged in co-operative fashion to achieve collective goals.

Claims

1. A method for performance management of industrial plants, the method comprising the steps of:

establishing at least one plant unit, each plant unit being associated with at least one plant site;

establishing at least one plant site, each plant site being associated with at least one business enterprise;

collecting plant data for at least one of said at least one plant unit;

collecting business data;

collecting market data;

collecting meteorological data;

filtering said collected plant data, business data, market data, and meteorological data, thereby producing filtered data;

performing data validation and status detection on said filtered data, thereby producing validated data;

applying a first model to said validated data;

generating a system status representation of at least one of said at least one plant unit based on said filtered data and said first model;

applying said system status representation for calibration of a second model;

applying said second model for generation of what-if scenarios; and

selecting at least one processing step from a group of processing steps, said group of processing steps comprising;

determining optimized conditions for at least a portion of the operation of at least one of said at least one plant unit;

identifying at least one required operating condition deviation for at least one of said at least one plant unit; and

translating said at least one required operating condition deviation into operational advice; and

executing said at least one processing step.