Powertrain Digital Twin for Energy-Efficient VSD Replacement
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Solution Overview
Problem
Existing powertrains in large fluid control systems, such as cooling and ventilation systems, often contain inefficient or improperly dimensioned components, leading to significant energy wastage.
Innovation Solution
A method utilizing a digital twin model to evaluate and select a replacement component, such as a variable-speed drive (VSD), by analyzing powertrain data and system requirements, to optimize energy efficiency and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical testing of replacement components is performed, then selection accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent creates a digital twin model that replicates the physical powertrain system's operational characteristics, performance parameters, and operating conditions. This virtual copy enables evaluation of replacement components through simulation rather than physical testing, achieving accurate selection results without the time and resource costs of actual hardware testing.
2Loss of energy
If comprehensive data analysis is performed to select optimal replacement components, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces a digital twin model as an intermediary between the complex operational data and the component selection decision. This intermediary processes and analyzes comprehensive data including operational characteristics, performance parameters, and operating conditions, transforming raw data into actionable insights for selecting energy-efficient replacement components without overwhelming system complexity.
3Loss of energy
If existing inefficient components are replaced, then energy savings are achieved, but initial investment cost increases
Solution Approach 1:
The patent performs preliminary analysis using the digital twin model to identify and evaluate potential replacement components before actual implementation. By simulating performance and calculating energy savings in advance, the system enables informed decision-making about replacement investments, ensuring that initial costs are justified by proven energy savings and performance improvements.
Data Source
AI summary
A method for selecting a replacement component for a powertrain comprising at least one electric motor configured to drive a fluid moving device in a fluid control system, the method comprising: receiving data relating to the powertrain; creating a digital twin model of the powertrain; identifying system requirements of the fluid control system; obtaining technical information relating to a plurality of potential replacement components from a database; digitally evaluating the use of each one of the potential replacement components within the powertrain by using the digital twin model in combination with the technical information and the system requirements; and selecting the replacement component from the plurality of potential replacement components based on the digital evaluation.