ESS Dispatch Profile Modeling for Degradation-Aware System Sizing
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Solution Overview
Problem
Designing and sizing energy storage systems is challenging due to varying performance characteristics of components from different manufacturers, lack of standard file formats for energy storage mediums, and the complexity of creating dispatch profiles, which hinders accurate prediction of system degradation and comparison of technologies during the design phase.
Innovation Solution
A software platform that includes an energy storage system profile creator module and defined system module to aid in creating dispatch profiles and modeling performance, allowing users to input parameters, simulate scenarios, and optimize energy storage system design for specific applications, with features like user-defined POI profiles, equipment modeling, and standard file formats for comparing different technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers manually create dispatch profiles using code or Excel formulas, then customization flexibility is achieved, but time consumption and complexity increase significantly
Solution Approach 1:
The patent implements pre-configured dispatch profile templates that can be copied and reused for different energy storage applications. These templates contain standardized configurations for common scenarios, allowing developers to quickly deploy profiles without manual coding while maintaining customization options through parameter adjustment.
Solution Approach 2:
The software platform creates a universal dispatch profile management system that handles multiple energy storage technologies and application scenarios through a single interface. The system provides multi-functional capabilities including profile creation, optimization, validation, and execution across different battery types and grid applications.
2Measurement precision
If developers compare different energy storage technologies during design phase, then optimal technology selection is achieved, but lack of standard file formats prevents accurate performance prediction
Solution Approach 1:
The patent implements a standardized parameter set for modeling different energy storage technologies, including battery chemistry-specific parameters, electrical characteristics, and degradation models. This standardization enables consistent performance prediction across lithium-ion, flow, compressed air, and other storage technologies using unified input-output formats.
Solution Approach 2:
The software platform acts as an intermediary between diverse energy storage technologies and performance analysis tools. It provides a common interface layer that translates various technology specifications into standardized models, enabling fair comparison and accurate performance prediction without requiring developers to master each technology's unique characteristics.
3Measurement precision
If detailed performance modeling is performed considering multiple factors like degradation, efficiency, temperature, then prediction accuracy improves, but computational complexity and data requirements increase
Solution Approach 1:
The patent segments the performance modeling into modular components: electrochemical degradation models, thermal management models, electrical efficiency models, and cycle life models. Each module can be independently configured and validated, reducing overall complexity while maintaining comprehensive accuracy through systematic integration of specialized sub-models.
Data Source
AI summary
A method or software is designed and configured to aid in creating dispatch profiles of energy storage systems (ESS), and/or to model performance of energy storage systems. The method or software generally includes providing a computer-readable software platform configured to store instructions that, when executed by a computer, cause the software platform to provide an ESS profile creator module or PCM and/or an energy storage system defined system module or DSM. The PCM is configured to develop ESS dispatch profiles for multiple utility, commercial and industrial, and residential applications use cases (ES Apps). The DSM is configured to allow a user to deduce performance metrics for a user-defined ESS by executing a user-defined POI Profile deduced by the user or developed through the profile creator module. Wherein, the DSM is configured to deduce parameters that allow the user to optimize the design of the ESS for a specific ES App.