Customization Capabilities of QuESt
Modular Architecture
- Application Selection: QuESt allows users to select and install various applications that suit their specific needs. This includes tools like QuESt Valuation, QuESt BTM, and QuESt Performance, which can be applied to different energy storage technologies by choosing relevant applications.
- Technology Selection Tool: The QuESt Technology Selection module supports the selection of appropriate energy storage technologies based on specific applications and requirements. This means users can use QuESt to analyze and optimize different energy storage types, such as batteries, hydrogen storage, or other emerging technologies.
Workflow Management
- Integration of Applications: Users can create workflows that integrate multiple applications using plugin extensions. This modular approach allows for the flexible composition of analytics workflows tailored to specific types of energy storage systems.
- Generative AI Integration: QuESt GPT, utilizing large language models, enables users to interact with data in a more intuitive way. This can be particularly beneficial for gaining insights into different energy storage systems by asking questions and receiving data-driven insights.
Isolated Environments
- Simultaneous Operation: Multiple applications can be operated simultaneously, allowing users to leverage different tools without interference. This capability is crucial for comparing the performance of different energy storage systems side-by-side.
In summary, QuESt offers customization through its modular architecture, integration capabilities, and AI-driven insights, making it highly adaptable for various energy storage technologies and applications.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/can-quest-be-customized-for-different-types-of-energy-storage-systems/
