Air Compressor Pressure Setpoint Control for Idle Fuel Reduction
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Solution Overview
Problem
Air compressors operating with idle power sources experience inefficiencies due to increased fuel consumption when not actively supplying compressed air, caused by back pressure from inactive demand profiles.
Innovation Solution
A compressor system with a controller that monitors output demand levels to selectively adjust tank pressure between operational and reduced setpoints, reducing load on the power source during inactive periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the compressor maintains operational pressure in the tank during inactive periods, then operational supply readiness is ensured, but fuel consumption increases due to back pressure from idle power source
Solution Approach 1:
The system dynamically adjusts the tank pressure setpoint based on real-time demand detection. When inactive demand profile is detected, the pressure setpoint transitions from operational pressure to reduced pressure, allowing the power source to idle efficiently. When active demand is detected, the setpoint returns to operational pressure, ensuring immediate supply readiness. This dynamic adaptation resolves the contradiction by making pressure maintenance conditional rather than static.
Solution Approach 2:
The control device changes the pressure parameter of the tank based on demand conditions. During inactive periods, the pressure parameter is reduced from operational level to a lower maintenance level, reducing back pressure on the power source and fuel consumption. When demand returns, the pressure parameter is restored to operational levels. This parameter change strategy allows the system to balance reliability and energy efficiency.
2Use of energy by moving object
If the compressor reduces tank pressure during inactive periods, then fuel consumption decreases, but operational supply readiness may be compromised
Solution Approach 1:
The control device continuously monitors demand signals and provides feedback to adjust the pressure setpoint accordingly. When inactive demand is detected, feedback triggers pressure reduction to save fuel. When active demand signals appear, feedback immediately triggers pressure restoration to maintain supply readiness. This closed-loop feedback mechanism ensures that reliability is maintained only when necessary, optimizing the fuel consumption-reliability tradeoff.
Solution Approach 2:
The system performs preliminary detection of demand profiles to anticipate pressure adjustment needs. By monitoring demand patterns in advance, the system can proactively adjust pressure before actual demand occurs, ensuring smooth transitions between pressure states without compromising supply readiness when needed.
3Productivity
If the controller continuously monitors demand levels to identify active/inactive profiles, then pressure management efficiency is improved, but system complexity increases
Solution Approach 1:
The control device autonomously monitors demand levels and automatically identifies active or inactive demand profiles without requiring external intervention. Based on this self-service monitoring, the system automatically adjusts the pressure setpoint, eliminating the need for complex manual control systems or additional external monitoring equipment. This self-service approach improves pressure management efficiency while keeping the control system relatively simple.
Data Source
AI summary
Systems and methods for a compressor system are provided for selectively operating the compressor system with reduced power consumption. An output demand level of the compressor system can be monitored over time to identify a demand profile. A pressure setpoint for the compressor system can be selectively adjusted based on the demand profile, including to selectively transition between an operational pressure setpoint for an active demand profile and a reduced pressure setpoint for an inactive demand profile.