Aggregated Load Profiles for Consumption Management Systems
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Solution Overview
Problem
Energy consumption management systems face challenges in efficiently managing unknown load profiles, leading to unpredictable impacts on energy consumption and high upfront costs, as effective load profiles can take weeks or months to generate and do not clearly indicate which devices need to be controlled for optimal consumption management.
Innovation Solution
The method involves storing and maintaining load profiles in a database, aggregating them to create indexed profiles that can select or design consumption management systems, identifying anomalous consumption patterns, and classifying individual electrical systems contributing to these patterns for targeted management strategies, enabling faster and more efficient energy consumption auditing and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If load profiles are generated by measuring consumption data at a site in real-time, then the load profile accurately reflects the actual consumption patterns, but it takes weeks, months, or even longer to generate
Solution Approach 1:
The system pre-generates and stores load profiles for various electrical systems in a database before they are needed at the assessment site. These pre-generated profiles serve as reference data that can be quickly matched against actual site consumption patterns, eliminating the need to generate profiles from scratch during the assessment process.
Solution Approach 2:
The system creates copies of load profiles from similar electrical systems that have been previously profiled. By copying and adapting profiles from comparable systems in the database, the system can rapidly generate load profiles for new systems without requiring lengthy real-time measurement campaigns.
2Quantity of substance
If all systems at the site are simultaneously measured to generate a load profile, then the overall consumption pattern is captured, but details about individual system management needs are buried and not immediately apparent
Solution Approach 1:
The system segments the overall site load profile into individual electrical system components by comparing aggregate consumption data against pre-generated profiles of specific system types. This segmentation process identifies which individual systems contribute to the overall load and extracts their specific management needs, making detailed information visible rather than buried in aggregate data.
Solution Approach 2:
The system uses pre-generated load profiles of known electrical systems as intermediary reference data. By matching patterns in the aggregate site consumption against these intermediary profiles, the system can identify and extract information about individual systems that would otherwise be hidden within the combined load data.
3Productivity
If consumption management systems are implemented without known load profiles, then deployment is faster, but the impact on energy consumption is unpredictable and capital expenses are inefficient
Solution Approach 1:
The system performs preliminary matching of site consumption patterns against the database of pre-generated load profiles before implementing consumption management strategies. This preliminary action provides predictive insights into which systems should be targeted and what impact management actions will have, enabling informed decision-making without requiring lengthy measurement campaigns.
Solution Approach 2:
The system uses the database of pre-generated load profiles as a feedback mechanism to predict the impact of consumption management actions. By comparing actual site patterns against known profiles and their associated management outcomes, the system can forecast the effectiveness of proposed interventions, reducing uncertainty about capital expense returns.
Data Source
AI summary
Methods and systems using aggregated electrical system load profiles in determining additional load profiles, and determining consumption management system characteristics, features, and operating requirements at a site are disclosed, along with methods of generating and maintaining databases of load profile information and consumption management system requirements. By using some embodiments of the methods and systems described herein, it is faster and easier to design and implement effective consumption management systems, to determine problematic electrical systems at a site, and to diminish anomalous consumption patterns in an aggregate unprofiled electrical system load profile.