Hierarchical Energy Management Modeling for Industrial Plants
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Solution Overview
Problem
Existing energy management systems struggle to effectively monitor, simulate, and optimize energy efficiency in complex and diverse industrial plants due to limitations in data collection, modeling, and simulation capabilities, particularly when dealing with various elements from multiple manufacturers.
Innovation Solution
An energy management system that includes a collector for gathering energy efficiency data and a processing unit for monitoring, simulation, and optimization using hierarchical modeling units, which model energy efficiency attributes such as input, output, and consumption attributes for energy and substance flows, allowing for flexible representation and analysis of complex plant structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data collection is limited to basic energy consumption data, then the system is simple to implement, but it cannot effectively monitor, simulate, and optimize energy efficiency in complex and diverse industrial plants
Solution Approach 1:
The patent segments the complex plant system into multiple hierarchical modeling units (Level 1: plant level, Level 2: device level, Level 3: component level). Each level collects and processes data independently, then integrates with other levels. This segmentation allows the system to handle complex energy efficiency monitoring and optimization while maintaining manageable system complexity through modular data collection at each hierarchical level.
Solution Approach 2:
The patent creates a universal data collection framework that handles multiple types of data (energy consumption, production output, operational parameters) across diverse plant configurations. The standardized modeling unit structure can represent different devices and components from various manufacturers using a common interface, enabling the system to adapt to complex and diverse industrial plants without requiring separate specialized systems for each scenario.
2Measurement precision
If the system uses detailed hierarchical modeling units with multiple attributes, then energy efficiency analysis becomes comprehensive, but data processing and simulation complexity increases
Solution Approach 1:
The patent adds a hierarchical dimension to data organization, structuring modeling units across three levels (plant, device, component) rather than treating all data at a single level. This hierarchical dimension allows comprehensive energy efficiency analysis by capturing relationships at multiple scales while simplifying processing through level-specific aggregation and filtering, reducing the computational burden of analyzing all detailed attributes simultaneously.
Solution Approach 2:
The patent segments the comprehensive data model into distinct hierarchical levels with progressively detailed attributes. Level 1 contains aggregated plant-level data, Level 2 contains device-level data, and Level 3 contains component-level data. This segmentation enables comprehensive energy efficiency measurement by allowing analysis at any desired level of detail while reducing processing complexity through hierarchical data aggregation and selective attribute processing at each level.
3Reliability
If the system collects comprehensive energy efficiency data from multiple sources, then simulation and optimization accuracy improves, but data collection infrastructure becomes more complex
Solution Approach 1:
The patent implements a universal data collection infrastructure using standardized modeling units that can represent diverse data sources (sensors, SCADA systems, enterprise systems) through a common structure. Each modeling unit follows a standardized template with consistent attributes for energy consumption, production output, and operational parameters, enabling accurate simulation and optimization across complex plants while simplifying infrastructure integration through uniform data interfaces and protocols.
Data Source
AI summary
An energy management system, provided with: a collector that collects information regarding energy efficiency of a production apparatus and a processor that performs at least one of monitoring, simulation, and optimization of energy efficiency in production activity performed by the production apparatus, on the basis of the information regarding energy efficiency collected by the collector, using a modeling unit in which information regarding energy efficiency of a constituent element of the production apparatus is modeled on the basis of a predefined rule.


