Energy Control Unit for Production System Load Spectrum Analysis
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Solution Overview
Problem
Current systems for analyzing energy consumption in production systems lack integration of energy consumption parameters and fail to account for temporal, spatial, and spatial relationships between production facilities and building equipment, as well as energy storage or conversion facilities, leading to inefficiencies in energy management.
Innovation Solution
A method and device that determine energetically relevant parameters of machines and supply technology, such as energy requirements and media-dependent characteristics, to create a load spectrum for assigning average energy recovery values, and optimize work order scheduling to minimize energy consumption by integrating energy consumption parameters into the planning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electricity meters are used to record energy consumption of the entire system, then energy consumption data can be obtained, but no reference can be established to the actual production sequence, ambient conditions or current reference time
Solution Approach 1:
The patent segments the energy consumption measurement system into multiple independent measurement units, each associated with specific machines or production facilities. This allows energy consumption to be measured and recorded separately for each segment, enabling correlation with specific production sequences, ambient conditions, and time references, thereby resolving the information loss problem of whole-system measurement.
Solution Approach 2:
The patent introduces an energy management system as an intermediary that collects, processes, and correlates energy consumption data with production sequence data, ambient condition data, and time reference data. This intermediary system establishes the missing references by integrating data from multiple sources, enabling precise tracking of energy consumption in relation to specific production contexts.
2Productivity
If production planning systems optimize machine occupancy based on delivery date and hourly machine rate, then production efficiency is improved, but energy consumption parameters are not integrated
Solution Approach 1:
The patent extends the functionality of the production planning system to include multiple optimization objectives simultaneously: delivery date optimization, machine occupancy optimization, and energy consumption optimization. The system evaluates different production schedules based on multiple criteria and selects the optimal schedule that balances all three objectives, making the planning system universal in handling diverse optimization requirements.
Solution Approach 2:
The patent changes the optimization parameters of the production planning system by incorporating energy consumption parameters alongside traditional parameters like delivery date and machine occupancy. The system uses weighted evaluation functions that can adjust the importance of different parameters, allowing flexible optimization that adapts to changing priorities between productivity and energy efficiency.
3Measurement precision
If energy measurements are structured according to production site and factory building, then energetic comparison is enabled, but integration with production facilities and building equipment energy exchange is not achieved
Solution Approach 1:
The patent merges the energy measurement systems of production facilities with the energy management systems of building equipment into a unified system. This integration enables the tracking and optimization of energy exchange between production facilities and building equipment, such as heat recovery from machines being used to heat building spaces, thereby achieving both precise measurement and adaptive energy management.
Data Source
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AI summary
The invention relates to a method for analyzing the energy use during the operation of a production system comprising machines and supply technology having an energy demand that can be determined and planning apparatuses for the work orders to be carried out by the machines. The energy-related parameters of the machines are determined and divided into representative load spectra by an energy control unit, energy recovery values to be expected on average depending on the media are assigned to said load spectra, the respective time fractions of the load spectra for possible work order and machine combinations are determined from the work orders to be carried, and the energy demand per machine for carrying out a work order is determined therefrom. The invention further relates to a device suitable therefor.