Anaerobic Waste Water Process Models

Biotechnology ◽  
2008 ◽  
pp. 441-484 ◽  
Author(s):  
Dirk Schürbüscher ◽  
Christian Wandrey
Keyword(s):  
2001 ◽  
pp. 441-484
Author(s):  
Dirk Schürbüscher ◽  
Christian Wandrey
Keyword(s):  

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.


2018 ◽  
Vol 115 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Brian M. Monroe ◽  
Bryan L. Koenig ◽  
Kum Seong Wan ◽  
Tei Laine ◽  
Swati Gupta ◽  
...  

Planta Medica ◽  
2014 ◽  
Vol 80 (16) ◽  
Author(s):  
K Vougogiannopoulou ◽  
H Pratsinis ◽  
R Grougnet ◽  
M Halabalaki ◽  
D Kletsas ◽  
...  

2020 ◽  
Vol 6 (2) ◽  
pp. 147-153
Author(s):  
Muhamad Yusup ◽  
Po. Abas Sunarya ◽  
Krisandi Aprilyanto

System The process of counting and storing in a manual water reservoir analysis has a high percentage of error rate compared to an automated system. In a company industry, especially in the WWT (Waste Water Treatment) section, it has several reservoir tanks as stock which are still counted manually. The ultrasonic sensor is placed at the top of the WWT tank in a hanging position. Basically, to measure the volume in a tank only variable height is always changing. So by utilizing the function of the ultrasonic sensor and also the tube volume formula, the stored AIR volume can be monitored in real time based on IoT using the Blynk application. From the sensor, height data is obtained which then the formula is processed by Arduino Wemos and then information is sent to the MySQL database server via the WIFI network.


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