Energy Analyzer for Discrete Event Simulation
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Solution Overview
Problem
Current discrete event simulation tools lack the capability to perform energy analysis, failing to address energy efficiency and cost optimization in complex production and logistics systems, which are critical for reducing energy consumption and carbon footprint.
Innovation Solution
The development of an energy analyzer for discrete event simulation that calculates and visualizes energy attributes for environment objects, including unproductive times, using customized energy attributes and graphical display of energy consumption indicators, allowing for dynamic simulation and analysis of energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If discrete event simulation tools are used for production and logistics systems, then system operation and productivity analysis are improved, but energy analysis capability is lacking
Solution Approach 1:
The patent combines energy analysis functionality with discrete event simulation tools by integrating an energy analyzer module that works alongside the simulation engine. This allows energy attributes to be calculated and analyzed within the same simulation environment, merging previously separate functions into a unified system.
Solution Approach 2:
The simulation tool is enhanced to perform multiple functions: traditional productivity and operation analysis plus new energy analysis capabilities. The system can simultaneously evaluate operational metrics and energy consumption, making the tool universally applicable for both production optimization and energy efficiency analysis.
2Use of energy by moving object
If energy analysis capability is added to simulation tools, then energy efficiency analysis is improved, but system complexity increases
Solution Approach 1:
The energy analysis functionality is segmented into distinct energy attributes (e.g., energy consumption, energy production, energy efficiency metrics) that can be independently configured and analyzed. This modular approach allows users to enable only the energy analysis features they need without being overwhelmed by the entire system's complexity.
Solution Approach 2:
An energy analyzer module acts as an intermediary between the simulation engine and the user. This mediator handles the complex calculations of energy attributes based on simulation data, shielding users from underlying computational complexity while providing simplified energy efficiency insights through standardized metrics and visualizations.
3Measurement precision
If detailed energy attributes are calculated during simulation, then energy use accuracy is improved, but calculation time increases
Solution Approach 1:
The system allows users to select which energy attributes to calculate based on their specific needs. Rather than computing all possible energy metrics simultaneously, users can enable only the relevant attributes for their analysis, achieving sufficient accuracy without the full computational burden of calculating every possible energy parameter.
Solution Approach 2:
The energy analyzer uses configurable parameters to adjust calculation precision and scope. Users can modify simulation granularity, time step resolution, and attribute detail levels to balance accuracy requirements against available computation time, allowing flexible optimization of the precision-time tradeoff based on specific project needs.
Data Source
AI summary
Systems and methods for event simulation with energy analysis. A method includes receiving a plurality of environment objects, and receiving energy attributes corresponding to one or more of the environment objects. The method includes simulating the operation of the environment objects and, during the simulation, calculating values for the energy attributes reflecting the energy use for the respective energy attributes. The method includes displaying the calculated values for the energy attributes.