Photobioreactor System for Algae Culture Environmental Simulation
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Solution Overview
Problem
Conventional bioreactors fail to translate lab-grown algal strains' growth into outdoor productivity due to the difficulty in replicating natural conditions, leading to resource wastage in outdoor testing.
Innovation Solution
A photobioreactor system with advanced control modules for light, temperature, gas sparging, pH, and dilution, featuring a modular cap design, non-reflective surfaces, metal-free pathways, and electronic modularity to emulate outdoor pond environments, allowing for precise control of microorganism culture conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional bioreactors are used to grow algal strains in the lab, then microorganism culture can be maintained, but the growth conditions cannot be translated to outdoor productivity due to inability to replicate natural conditions
Solution Approach 1:
The system dynamically adjusts multiple environmental parameters (light intensity, temperature, pH, dissolved oxygen, liquid volume) to replicate natural outdoor pond conditions. This allows the bioreactor to maintain reliable growth while adapting to simulate varying natural environments, resolving the contradiction between growth consistency and environmental replication capability.
Solution Approach 2:
The bioreactor integrates multiple control functions (lighting control, temperature control, pH control, gas sparging, dilution control) into a single system that can replicate various natural conditions. This multi-functional design enables the system to maintain reliable growth while adapting to different environmental scenarios, addressing both reliability and adaptability requirements.
2Measurement precision
If lab environments are used to control conditions and parameters, then scientifically significant data can be captured, but the conditions cannot reliably emulate natural conditions
Solution Approach 1:
The system uses sensors to continuously monitor environmental parameters (light intensity, temperature, pH, dissolved oxygen, liquid volume) and feeds this information back to control modules that automatically adjust conditions. This feedback mechanism ensures both precise measurement capability for data accuracy and the ability to dynamically emulate natural condition variations.
Solution Approach 2:
The system dynamically modifies environmental parameters based on target natural condition profiles, allowing it to maintain measurement precision while accurately emulating the variable conditions found in outdoor ponds, thus resolving the contradiction between data accuracy and natural condition replication.
3Reliability
If outdoor testing is performed to verify algal strain productivity, then natural condition performance can be assessed, but resources are wasted due to lack of prior lab simulation capability
Solution Approach 1:
The system performs preliminary testing in the lab by replicating natural outdoor conditions in the bioreactor, allowing assessment of algal strain productivity before outdoor deployment. This preliminary action predicts performance reliably and reduces resource wastage by identifying promising strains beforehand, eliminating the need for extensive trial-and-error outdoor testing.
4Manufacturing precision
If a photobioreactor system with multiple control modules is implemented, then precise environmental control is achieved, but system complexity increases
Solution Approach 1:
The system combines multiple control functions (lighting, temperature, pH, gas sparging, dilution) and monitoring capabilities into an integrated photobioreactor platform. This merging approach achieves precise environmental control across multiple parameters while managing system complexity through unified design, resolving the contradiction between control precision and structural complexity.
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
The system effectively simulates natural outdoor conditions, enabling accurate long-term maintenance of culture solutions and improving the growth of microorganisms by maintaining precise control over environmental parameters, thus reducing the need for outdoor testing.
Implementation Method 1
a lighting element produces stable light intensity range
Implementation Method 2
uses a magnetic stirrer
Implementation Method 3
a temperature control module, wherein the control is located at the bottom of the sample vessel
Implementation Method 4
a gas sparging control module
Implementation Method 5
The tubing may include one or more peristaltic pumps
Implementation Method 6
a weighing module, wherein the weighing module monitors volume
Data Source
AI summary
Methods and systems for controlling microorganism culture conditions are disclosed. The system may comprise a sample vessel and plumbing free metal parts, and use a modular cap design to adapt to a multitude of analytical probes, and possess a square profile with non-reflective surfaces. The system may also include stirrer; a lighting control module, a lighting element may produce stable light intensity range; a temperature control module that may be located at the bottom of the sample vessel; a pH control; a gas sparging control module; a dilution control module; a liquid storage system; an electronic modularity; a weighing module; and a scheduling system. In many embodiments of the system and method, the pH control may hold the pH within 0.1 of a target pH, the weighing module may monitor volume, and the scheduling system may allow the creation of user defined events and set points.