Factory Process Prioritization for Demand Response Power Adjustment
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Solution Overview
Problem
Current demand response (DR) in factories lacks a quantitative evaluation method to determine process prioritization, especially considering production capacity disparities and personnel requirements, making it difficult to accurately assess which processes can be adjusted for power demand management.
Innovation Solution
A process proposal device calculates a demand response priority score using sensor data to evaluate the adjustable power consumption, residence time, and personnel requirements for each process, enabling accurate prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demand response is performed based only on past production information and process priority, then the evaluation is simple, but the accuracy of determining which process to prioritize is insufficient
Solution Approach 1:
The system performs preliminary calculations of residence time, power consumption adjustability, and personnel requirements for each process before demand response execution. This advance preparation enables accurate prioritization when demand response is actually needed, without requiring complex real-time analysis during power supply disruptions.
Solution Approach 2:
The system introduces an intermediary evaluation mechanism that calculates a demand response priority score based on multiple parameters (residence time, power adjustability, personnel requirements). This intermediary score serves as a mediator between raw process data and final prioritization decisions, enabling accurate evaluation without direct complex multi-parameter optimization.
2Measurement precision
If the evaluation considers multiple parameters including residence time and personnel requirements, then the evaluation accuracy improves, but the difficulty of determination increases
Solution Approach 1:
The system transforms multiple evaluation parameters (residence time, power consumption adjustability, personnel requirements) into a single demand response priority score. This parameter transformation simplifies the evaluation process while maintaining accuracy, as the score aggregates all relevant factors into one comparable metric for each process.
Solution Approach 2:
The system replaces manual or complex mechanical evaluation processes with automated computational calculations. The processor automatically calculates residence time from sensor data and production plans, computes power adjustability from process information, and determines the final priority score, eliminating the need for manual assessment of multiple parameters.
3Adaptability or versatility
If processes with long residence time are selected for demand response, then power adjustment is easier, but production impact increases
Solution Approach 1:
The system dynamically evaluates each process's residence time and adjusts the demand response priority score accordingly. Processes with shorter residence times receive higher priority scores when other conditions are equal, enabling the system to dynamically select processes that minimize production impact while still achieving power adjustment goals. This dynamic scoring adapts to changing production conditions and process characteristics.
Data Source
AI summary
A process proposal device includes: a processor; and a storage unit, wherein the storage unit holds evaluation information that associates, with a DR (Demand-Response) priority score, each of an adjustable amount of power consumption for production of a product in a factory, a residence time of the product, and personnel required for production of the product, and the processor: acquires process information indicating a plurality of processes for producing the product, a past production plan, and sensor data acquired in response to the past production plan; calculates, on the basis of the process information and the past production plan, an adjustable amount of the power consumption in each of the processes included in the process information; and calculates the residence time in each of the processes on the basis of the past production plan and the sensor data.