Dynamic Aeration Control for Wastewater Energy Cost Optimization
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Solution Overview
Problem
Wastewater treatment systems face challenges in minimizing energy costs while meeting regulatory targets for water quality parameters, often resulting in violations during peak energy pricing periods.
Innovation Solution
A method is introduced to dynamically adjust aeration intensity based on current and predicted energy prices, using short intervals that do not overlap, with intensities determined by historical plant data and site-specific conditions to balance energy costs and purification performance, ensuring compliance with regulatory standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If aeration intensity is reduced during high energy price periods, then energy cost is minimized, but regulatory compliance may be violated
Solution Approach 1:
The control method segments the aeration process into multiple discrete intervals within each surveillance period, allowing different aeration intensities to be applied in different intervals. This enables the system to reduce aeration during high-energy-cost periods while maintaining sufficient treatment to meet regulatory averages, thus resolving the contradiction between energy cost minimization and compliance assurance.
Solution Approach 2:
The system dynamically adjusts aeration intensity based on real-time energy price signals and predicted prices, rather than maintaining a fixed intensity. This dynamic control allows the plant to respond flexibly to changing economic conditions while using predictive modeling to ensure regulatory targets are met, balancing energy cost reduction with compliance reliability.
2Reliability
If aeration intensity is increased to ensure regulatory compliance, then purification performance is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by accumulating purification capacity during low-energy-cost periods and using this buffer to allow reduced aeration during high-cost periods. The predictive model anticipates future energy prices and regulatory requirements, enabling the system to pre-position treatment capacity to minimize total energy consumption while ensuring compliance.
Solution Approach 2:
The control method changes the aeration intensity parameter dynamically based on energy price signals and predicted purification performance. Rather than maintaining constant high intensity, the system adjusts the parameter to match economic conditions and predicted outcomes, reducing energy consumption while maintaining sufficient purification performance through intelligent parameter modulation.
3Use of energy by moving object
If short non-overlapping intervals are used for aeration control, then energy cost optimization is improved, but control system complexity increases
Solution Approach 1:
The control system uses self-service by automatically generating the optimal aeration schedule based on energy price signals and plant-specific parameters without requiring continuous manual intervention. The predictive model and optimization algorithms operate autonomously to determine interval boundaries and intensities, reducing the operational burden while achieving energy cost optimization through structured interval control.
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 allows for reduced energy consumption during high-price periods without compromising long-term purification performance, thereby minimizing fines and operational costs while maintaining regulatory compliance.
Implementation Method 1
A step often included in the process is aeration, which serves to increase the oxygen content in the wastewater
Implementation Method 2
The increased oxygen promotes biological oxidation and nitrification
Implementation Method 3
The increased oxygen promotes biological oxidation and nitrification
Implementation Method 4
causes the organic solids to be converted into coagulated suspended mass, which is heavier and bulkier, and can settle to the bottom of a tank
Implementation Method 5
causes the organic solids to be converted into coagulated suspended mass, which is heavier and bulkier, and can settle to the bottom of a tank
Data Source
AI summary
Techniques for controlled aeration (140) of wastewater (190) include determining a first aeration intensity for a first aeration interval and a different second aeration intensity for a second aeration interval (225) based on a current energy price (215), a predicted energy price (221), and a regulatory surveillance period (201) during which a regulated critical parameter is monitored for regulatory compliance. Wastewater is aerated at the first aeration intensity for the first aeration interval; and at the second aeration intensity for the second aeration interval. The first aeration interval is short compared to the regulatory surveillance period, the second aeration interval is short compared to the regulatory surveillance period and does not overlap the first aeration interval, and the first aeration intensity is less than the second aeration intensity.