Fuel Cell System Load Prediction for Start-Up Optimization
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Solution Overview
Problem
Conventional fuel cell systems do not adequately account for the energy required for start-up, leading to inefficiencies and increased costs due to frequent start-ups and stoppages, which results in a discrepancy between actual and calculated costs.
Innovation Solution
A fuel cell system that includes load value detection, storage, and prediction means to determine the scheduled start-up time based on historical load data, calculating primary energy consumption, carbon dioxide generation, and costs to optimize when to operate the fuel cell, considering start-up energy and emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the fuel cell operates continuously to meet power demand, then power supply reliability is improved, but energy waste increases due to frequent start-ups consuming excessive start-up energy
Solution Approach 1:
The system performs preliminary actions by pre-heating the fuel cell and its components (fuel generator, oxidizing gas supply means) before the actual power generation start-up. This preliminary heating reduces the energy required during the main start-up process, thereby decreasing start-up energy consumption while maintaining power supply reliability.
Solution Approach 2:
The system implements periodic operation by strategically starting and stopping the fuel cell based on predicted power demand patterns. Rather than continuous operation, the fuel cell is activated in periodic cycles that align with actual power needs, reducing unnecessary start-ups and associated energy waste while ensuring power availability when required.
2Productivity
If the fuel cell is started frequently to meet varying power demand, then power demand responsiveness is improved, but operational cost increases due to repeated start-up energy consumption
Solution Approach 1:
The system uses load value predicting means to perform preliminary analysis of future power demand based on historical load data. This prediction capability allows the system to plan start-ups in advance, avoiding frequent reactive start-ups and reducing the operational cost associated with repeated start-up energy consumption while maintaining appropriate power demand responsiveness.
Solution Approach 2:
The system implements feedback control by continuously monitoring actual power demand, comparing it with predicted values, and adjusting the fuel cell operation schedule accordingly. This feedback mechanism optimizes the balance between power demand responsiveness and operational cost by learning from historical patterns and adapting to actual usage conditions.
3Productivity
If the fuel cell operates at higher temperature for efficient power generation, then power generation efficiency is improved, but energy requirement for start-up increases due to heating needs
Solution Approach 1:
The system performs preliminary heating of the fuel cell to its optimal operating temperature before initiating power generation. This pre-heating process, conducted in advance using the predicting means to determine the optimal timing, reduces the energy required during the actual start-up and ensures the fuel cell is ready for efficient operation when activated, thereby improving power generation efficiency without excessive start-up energy requirements.
Solution Approach 2:
The system maintains the fuel cell at optimal operating temperature through periodic operation cycles. By keeping the fuel cell warm during operational periods and strategically managing shutdowns, the system minimizes the frequency and energy cost of full re-heating cycles, thus maintaining high power generation efficiency while controlling start-up energy requirements.
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 fuel cell system to operate more efficiently, saving energy, reducing carbon emissions, and improving economic viability by optimizing start-up times based on predicted load and energy requirements.
Implementation Method 1
The fuel cell 13 is configured to generate electric power through an electrochemical reaction using the fuel gas supplied from the fuel generator 11 to the fuel cell 13 and an oxidizing gas such as air supplied from an oxidizing gas supply means 12 to the fuel cell 13
Implementation Method 2
A fuel generator 11 in FIG. 17 is configured to generate a fuel gas containing hydrogen through a reforming reaction of a material such as a natural gas in steam-containing atmosphere
Data Source
AI summary
A fuel cell system of the present invention comprises a fuel cell (13), a load value detecting means (16) configured to detect a load value of a load of electric power or heat which is generated by equipment (14) supplied with the electric power or the heat from the fuel cell system, a load value storage means (17) configured to store a history of the load value which is detected by the load value detecting means (16), a load value predicting means (18) configured to predict a load value which is going to be generated, based on the history of the load value, and to store the predicted load value as load value data, and scheduled start-up time of a fuel cell (13) is decided based on the load value data.