Operation Plan Creation Device for Green Hydrogen Production
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Solution Overview
Problem
Existing methods for hydrogen production in microgrids, such as those using water electrolysis, often rely on power from both renewable and non-renewable sources, leading to inefficiencies and increased CO2 emissions due to energy conversion processes, and fail to optimize the operation plan to ensure hydrogen is produced from renewable energy sources.
Innovation Solution
An operation plan creation device and method that designates predicted power values, constraint conditions, and objective functions to optimize the use of renewable and non-renewable energy sources in a microgrid, ensuring that hydrogen is produced using only renewable energy sources by separating and managing green and black power effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hydrogen production uses both renewable and non-renewable power sources, then productivity is improved, but CO2 emissions increase and green hydrogen quality deteriorates
Solution Approach 1:
The patent segments the power supply into separate renewable power and non-renewable power channels, with dedicated constraint conditions for each. The optimization calculation unit separately manages green power and black power flows, allowing hydrogen production to prioritize renewable sources while maintaining overall productivity through structured power allocation.
Solution Approach 2:
The patent changes the management parameter from unified power supply to separate management of renewable and non-renewable power. By introducing distinct constraint conditions and tracking mechanisms for green power and black power, the system optimizes hydrogen production to use renewable energy while reducing CO2 emissions through parameterized power source differentiation.
2Device complexity
If the power system treats renewable and non-renewable power together, then device complexity is reduced, but the ability to ensure green hydrogen production deteriorates
Solution Approach 1:
The patent introduces separate constraint condition sets for renewable power and non-renewable power, creating distinct management pathways. The optimization calculation unit processes green power and black power separately through dedicated variables and constraints, ensuring reliable green hydrogen production while maintaining manageable system complexity through structured segmentation.
Solution Approach 2:
The patent introduces an intermediary optimization calculation unit that mediates between renewable and non-renewable power sources. This intermediary component coordinates power allocation through mathematical optimization, ensuring green hydrogen production requirements are met while balancing overall system complexity through centralized intelligent management.
3Object-generated harmful factors
If hydrogen production prioritizes renewable energy, then CO2 emissions are reduced, but energy supply reliability may worsen due to renewable energy intermittency
Solution Approach 1:
The patent implements dynamic power allocation where the optimization calculation unit continuously adjusts power distribution between renewable and non-renewable sources based on real-time conditions. The constraint conditions and objective functions dynamically balance CO2 emission reduction with energy supply reliability, allowing the system to adapt to renewable energy intermittency while maintaining stable hydrogen production.
Solution Approach 2:
The patent changes operational parameters to dynamically prioritize renewable power for hydrogen production while using non-renewable power to fill gaps. The optimization framework adjusts power mix parameters in real-time, ensuring CO2 emissions are minimized during periods when renewable energy is available while maintaining supply reliability through parameter-driven flexibility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the microgrid to produce hydrogen efficiently while minimizing CO2 emissions by ensuring that only renewable energy is used for hydrogen production, optimizing power supply and demand, and reducing energy conversion losses.
Implementation Method 1
Another example of an element that consumes energy to obtain a product is a water electrolysis device
Data Source
AI summary
An operation plan creation device includes: a predicted value designation unit designating a predicted value of power to be supplied as first power from a first energy source to a power system; a constraint condition designation unit designating a constraint condition that includes a term indicating the first power and a term indicating second power and separately treats the first power and the second power for an operation of the power system; an objective function designation unit designating an objective function formulating an objective required for the power system; and an optimization calculation unit solving a problem defined by the predicted value of the power to be supplied, the constraint condition, and the objective function to obtain an operation plan for the power system.