Titration Algorithm for Methanizer Digestate Concentration
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Solution Overview
Problem
Current automated titration methods for monitoring anaerobic digestion processes in methanization are inadequate, particularly in complex environments, as they lack precision and are costly, and existing sensors struggle to accurately quantify ammonia nitrogen, volatile fatty acids, and inorganic carbon concentrations, leading to potential digester shutdowns due to inhibitory compound accumulation.
Innovation Solution
A method combining pH-metric and conductimetric titration with an algorithm to simulate the titration process, allowing for the estimation of ammonia nitrogen, volatile fatty acids, and inorganic carbon concentrations in methanizer digestates without filtration, using strong acids or bases as titrants, and employing theoretical functions to correct experimental data for precise concentration estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated titration methods are used to monitor anaerobic digestion processes, then monitoring capability is improved, but measurement precision deteriorates in complex environments
Solution Approach 1:
The patent introduces an intermediary algorithm that simulates the titration process and compares it with experimental data. This algorithm acts as a mediator between the automated titration system and the complex digestate matrix, resolving the contradiction by enabling precise concentration quantification through mathematical modeling rather than direct measurement, which fails in complex environments.
Solution Approach 2:
The patent changes the measurement parameters by using multiple titration endpoints and combining pH-metric and conductimetric measurements. Instead of relying on a single measurement parameter that fails in complex matrices, the system uses multiple parameters (pH, conductivity) and multiple endpoints to extract accurate concentration information, thereby improving measurement precision while maintaining automation.
2Reliability
If existing titration sensors are used, then monitoring is performed, but operational costs increase
Solution Approach 1:
The patent creates a virtual copy of the titration process through algorithmic simulation. Instead of using expensive specialized sensors for each compound, the system uses a single automated titration setup combined with a computational model that copies the behavior of multiple analytical methods, thereby reducing operational costs while maintaining reliable monitoring capability.
Solution Approach 2:
The patent makes a single titration system universal by designing it to measure multiple compounds (ammonia nitrogen, volatile fatty acids, inorganic carbon) simultaneously through one automated procedure. This multi-functional approach replaces the need for multiple specialized sensors, reducing operational costs while maintaining comprehensive monitoring reliability.
3Ease of operation
If inhibitory compound accumulation is not monitored, then operational simplicity is maintained, but digester reliability deteriorates
Solution Approach 1:
The patent implements a self-service monitoring system where the automated titration and algorithmic analysis perform without human intervention. The system automatically detects inhibitory compound accumulation and provides alerts, maintaining operational simplicity for the user while ensuring digester reliability through continuous automated monitoring of critical parameters.
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 provides accurate and reliable online monitoring of critical compounds, optimizing methanizer operation by preventing inhibitory compound accumulation and reducing operational costs, while being adaptable to both liquid and solid digestate samples.
Implementation Method 1
A method combining pH-metric and conductimetric titration with an algorithm to simulate the titration process
Implementation Method 2
A method combining pH-metric and conductimetric titration with an algorithm to simulate the titration process
Implementation Method 3
using strong acids or bases as titrants, and employing theoretical functions to correct experimental data for precise concentration estimation
Data Source
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AI summary
The invention relates to a method for estimating the concentration of at least one compound of interest present in a sample of a substrate or digestate from a methanizer, said method comprises at least the following steps: a) At least one reference model of substrate or digestate sample is available, associating the concentration of at least one compound of interest in this reference model of substrate or digestate sample with at least one theoretical titration function; b) At least one experimental titration function is established from experimental data collected during at least one titration of the substrate or digestate sample;(c) Using said reference model of substrate or digestate sample, at least one concentration of at least one compound of interest is identified for which at least one theoretical titration function of said reference model of substrate or digestate sample has a minimal error with at least one experimental titration function so as to estimate the concentration of at least one compound of interest present in said digestate sample.