Dynamic Energy Optimization for Production Subsystems
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Solution Overview
Problem
Existing production systems fail to dynamically adjust energy consumption during runtime, leading to inefficiencies in energy use and increased costs due to static optimization methods that do not account for fluctuating energy demands and prices.
Innovation Solution
A method that determines and stores multiple operating states for production subsystems based on energy requirements, allowing for dynamic selection during runtime based on parameters such as energy costs, enabling speed-adaptive manufacturing processes and reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If static optimization methods are used in PLM planning systems, then energy efficiency is optimized at the planning level, but dynamic energy consumption during operation cannot be adjusted
Solution Approach 1:
The patent implements dynamic optimization by enabling the production system to continuously adjust operating states of subsystems during runtime based on real-time energy consumption data and fluctuating energy prices, transitioning from static PLM planning to dynamic operational optimization
Solution Approach 2:
The system establishes a feedback loop where energy consumption quantities are monitored during operation, compared against energy prices, and used to dynamically select optimal operating states, allowing continuous adaptation to changing energy market conditions
2Productivity
If production systems operate with fixed cycle times, then productivity is maintained, but energy consumption cannot be optimized in response to fluctuating energy prices
Solution Approach 1:
The patent changes operational parameters by allowing cycle times and operating states to be dynamically adjusted within predefined ranges, enabling the system to select from multiple operating states with different energy consumption characteristics while maintaining acceptable productivity levels
3Use of energy by stationary object
If multiple operating states are stored for each subsystem, then dynamic energy optimization is enabled, but system complexity increases
Solution Approach 1:
The patent segments the overall system into multiple subsystems, each with its own set of predefined operating states and energy consumption characteristics, allowing independent optimization of each subsystem while managing overall system complexity through modular organization
Data Source
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AI summary
The invention relates to a production method for producing a technical system, the technical system having a plurality of subsystems, each having at least one module. The method has the following steps: determination of a plurality of average energy consumption values of each subsystem, each of the plurality of average energy consumption values corresponding to predefined clock cycles of the at least one module during the run time of the technical system; determination of a plurality of operating states for each of the plurality of subsystems, each operating state defining one of the predefined clock cycles of the at least one module and a control program for the at least one module; and storage of the determined plurality of operating states together with the respective energy consumption value for each subsystem, wherein each of the operating states can be selected during the run time of the technical system based on at least one parameter, the at least one parameter corresponding to at least one of a property of the stored operating states and of the energy consumption value. With the aid of said method, different operating states can be provided for the individual subsystems, which can be used for dynamic adaptation of the technical system during operation of the technical system. The invention further relates to a method and to a control device for operating a technical system.