Pump Staging Control via Specific Energy Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multiple pump systems face challenges in efficiently staging and de-staging pumps, leading to cumbersome setup, incorrect threshold values, premature pump activation/deactivation, and increased operating costs due to inefficient energy use and unscheduled maintenance.
Innovation Solution
A method utilizing variable speed drives with embedded control logic to optimize pump staging and de-staging based on specific energy calculations, considering current process variables, pump flow, and power, allowing for automatic pump activation/deactivation without the need for external inputs, ensuring optimal energy efficiency and system reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional threshold-based staging methods are used, then pump activation/deactivation can be controlled, but the setup is cumbersome and time-consuming with difficult-to-determine threshold values
Solution Approach 1:
The system automatically determines optimal staging thresholds by evaluating pump performance data and system requirements without requiring manual configuration. The controller self-adjusts threshold values based on real-time monitoring of pump operating parameters, eliminating the need for time-consuming setup and trial-and-error threshold determination.
Solution Approach 2:
The system dynamically adjusts staging threshold parameters based on changing system conditions and pump performance characteristics. Rather than using fixed manually-set thresholds, the controller modifies threshold values in response to varying operational requirements, optimizing pump staging decisions automatically.
2Reliability
If incorrect threshold values are used, then pump staging decisions may be premature or cause cycling, but determining correct values requires trial and error
Solution Approach 1:
The system continuously monitors pump operating parameters and system performance, using this feedback to refine and optimize staging threshold values. The controller evaluates actual pump performance data against staging criteria, automatically adjusting thresholds to prevent premature activation/deactivation and cycling, eliminating the need for trial-and-error commissioning.
Solution Approach 2:
The system performs preliminary evaluation of pump performance data and system requirements to establish accurate staging thresholds before actual pump staging operations begin. By pre-analyzing operational parameters and determining optimal thresholds in advance, the system avoids the time-consuming trial-and-error process during commissioning while ensuring reliable staging decisions from the start.
3Reliability
If pumps are not optimally staged, then system reliability improves, but energy efficiency deteriorates with higher operating costs
Solution Approach 1:
The system dynamically adjusts pump staging decisions based on real-time evaluation of energy consumption patterns and system requirements. By continuously monitoring operating parameters and adjusting staging thresholds accordingly, the controller optimizes the balance between system reliability and energy efficiency, ensuring pumps are staged or de-staged at the optimal moment to minimize energy consumption while maintaining operational stability.
Solution Approach 2:
The controller automatically optimizes pump staging to minimize energy consumption without requiring manual intervention. By self-adjusting staging decisions based on real-time system conditions and energy usage patterns, the system maintains reliability while reducing operating costs and energy consumption.
4Ease of operation
If simple threshold-based control is used, then system operation is straightforward, but it does not address energy efficiency optimization
Solution Approach 1:
The system automatically performs energy efficiency optimization through intelligent evaluation of pump performance data and system conditions. The controller self-adjusts staging decisions to minimize energy consumption without requiring complex manual configuration or external optimization systems, maintaining operational simplicity while eliminating energy waste.
Solution Approach 2:
The system uses real-time feedback from pump performance monitoring to optimize energy efficiency automatically. By continuously evaluating operating parameters and adjusting staging decisions based on this feedback, the system achieves energy optimization without adding operational complexity, as the controller autonomously processes the optimization logic.
Data Source
Figure 1
Figure 2
AI summary
Apparatus (10) is provided featuring a signal processor or processing module (10a) configured at least to: receive signaling (S) containing information about system energy consumption related to multiple pump combinations running in a multiple pump system (12); and determine whether to stage or de-stage a pump in the multiple pump system (12), based at least partly on the signaling (S) received. The signal processor or processing module (10a) is configured to provide corresponding signaling containing information about whether to stage or de-stage the pump in the multiple pump system (12), and to implement control logic or a control logic algorithm based at least partly on the system energy consumption taking the form of specific energy that is a measure of energy used per unit mass for the multiple pump combinations running in the multiple pump system (12).