Battery Energy Storage Control Using Grid Carbon Intensity
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Solution Overview
Problem
Existing energy storage systems primarily optimize energy usage based on financial metrics, neglecting the carbon intensity of the energy sources, which can lead to increased carbon footprint and non-optimal environmental impact.
Innovation Solution
Implementing a battery management system that utilizes a carbon intensity metric alongside financial metrics to optimize energy storage and discharge decisions, using an algorithm that considers the State of Carbon and carbon intensity of the grid to minimize carbon footprint while reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If energy storage systems optimize energy usage based on financial metrics only, then energy cost reduction is achieved, but carbon intensity increases
Solution Approach 1:
The system changes the optimization parameters from purely financial metrics to a dual-parameter system that includes both financial metrics and carbon intensity metrics. The battery management system dynamically adjusts charging/discharging decisions based on real-time evaluation of both cost and carbon intensity parameters, transforming the single-objective optimization into a multi-objective optimization problem that simultaneously considers economic and environmental factors.
2Productivity
If battery management considers only financial metrics, then operational cost is minimized, but environmental impact worsens
Solution Approach 1:
The battery management system is designed to perform multiple functions simultaneously: it optimizes for both financial returns and environmental performance. The system universally evaluates multiple objectives (cost minimization and carbon intensity reduction) and integrates them into a unified decision-making framework, allowing the same control system to achieve both economic and environmental benefits without requiring separate management systems.
3Object-generated harmful factors
If real-time carbon intensity monitoring is implemented, then carbon footprint is reduced, but system complexity increases
Solution Approach 1:
The system implements real-time feedback loops that continuously monitor carbon intensity signals from the grid and adjust battery charging/discharging operations accordingly. The battery management system receives real-time carbon intensity data, processes this information through its optimization algorithm, and dynamically adjusts operational parameters to minimize carbon footprint while maintaining financial efficiency, creating a closed-loop control system that adapts to changing environmental conditions.
Data Source
AI summary
The present disclosure relates to systems for and methods of using carbon generation parameters with battery energy storage to achieve a desired optimization in the energy storage operation of a battery. At least one parameter in achieving the desired optimization for managing energy storage includes the carbon generation parameter of the energy being used in the battery operations.