Simulace.info - User contributions [en]

Factors that influence beer fermentation

2024-01-20T23:35:58Z

Doba00: /* Conclusion */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

This simulation focuses on addressing factors that have an effect on beer fermentation and influence the alcohol percentage in the final product. It should suit the brewery makers in the food industry to better evaluate beer-making conditions to make preferred outcomes of alcohol levels. This simulation was developed as part of the project for the 4IT496 Simulation of Systems class.

=Problem definition=

Due to the complex interactions between internal and external variables, brewers continue to face crucial challenges in accurately regulating the alcohol content of beer fermentation. The final alcohol percentage is directly influenced by variables like sugar concentration, yeast type selection, and temperature fluctuations. This simulation attempts to give brewers a comprehensive platform to experiment with different scenarios to optimize their brewing procedures. This model aims to equip brewers with practical insights so they may make well-informed decisions for consistent and ideal alcohol levels by addressing the complex dynamics of beer fermentation.

=Method=

The Vensim PLE modeling software was chosen for the solution of the above-described case.

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Variables=

===Temperature===

Represents the temperature of the fermentation process.

===Rate of Fermentation===

Represents the speed at which fermentation is occurring.

===Yeast population===

Represents the quantity of yeast cells involved in fermentation.

===Yeast type===

Represents the type or strain of yeast used in fermentation.

===Carbon Dioxide Produced===

Represents the production of carbon dioxide as a byproduct of fermentation.

===Sugar Concentration===

Represents the amount of sugars available for fermentation.

===Alcohol Level===

Represents the concentration of alcohol in the beer.

===Volume of Beer===

Represents the quantity of beer in the fermentation process.

===Water===

Represents the amount of water involved in the fermentation process.

=Results=

Unfortunately, there were no concrete outcomes from the simulation. Despite attempts to investigate the complex dynamics of beer fermentation and model the different elements determining alcohol content, the results lacked practical significance and were inconclusive. The complexity of beer fermentation may call for a more sophisticated method, thus it's critical to recognize the limitations of the current model. Even though the simulation failed to provide conclusive results, this outcome offers a chance for exploration and learning about the complex interactions that occur during the brewing process.

=Conclusion=

The simulation aimed to understand the dynamics of beer fermentation, examining variables such as temperature, yeast type, and sugar concentration. Regretfully, the findings lacked clarity and couldn't provide the expected insights for brewing process optimization. This demonstrates the complex nature of beer fermentation and indicates that the simulation model has to be further improved.

=Code=
*Casual Loop:
[[File:Beer.mdl]]
*Stock and Flow:
[[File:Beer2.mdl]]

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T23:26:23Z

Doba00: /* Results */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

This simulation focuses on addressing factors that have an effect on beer fermentation and influence the alcohol percentage in the final product. It should suit the brewery makers in the food industry to better evaluate beer-making conditions to make preferred outcomes of alcohol levels. This simulation was developed as part of the project for the 4IT496 Simulation of Systems class.

=Problem definition=

Due to the complex interactions between internal and external variables, brewers continue to face crucial challenges in accurately regulating the alcohol content of beer fermentation. The final alcohol percentage is directly influenced by variables like sugar concentration, yeast type selection, and temperature fluctuations. This simulation attempts to give brewers a comprehensive platform to experiment with different scenarios to optimize their brewing procedures. This model aims to equip brewers with practical insights so they may make well-informed decisions for consistent and ideal alcohol levels by addressing the complex dynamics of beer fermentation.

=Method=

The Vensim PLE modeling software was chosen for the solution of the above-described case.

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Variables=

===Temperature===

Represents the temperature of the fermentation process.

===Rate of Fermentation===

Represents the speed at which fermentation is occurring.

===Yeast population===

Represents the quantity of yeast cells involved in fermentation.

===Yeast type===

Represents the type or strain of yeast used in fermentation.

===Carbon Dioxide Produced===

Represents the production of carbon dioxide as a byproduct of fermentation.

===Sugar Concentration===

Represents the amount of sugars available for fermentation.

===Alcohol Level===

Represents the concentration of alcohol in the beer.

===Volume of Beer===

Represents the quantity of beer in the fermentation process.

===Water===

Represents the amount of water involved in the fermentation process.

=Results=

Unfortunately, there were no concrete outcomes from the simulation. Despite attempts to investigate the complex dynamics of beer fermentation and model the different elements determining alcohol content, the results lacked practical significance and were inconclusive. The complexity of beer fermentation may call for a more sophisticated method, thus it's critical to recognize the limitations of the current model. Even though the simulation failed to provide conclusive results, this outcome offers a chance for exploration and learning about the complex interactions that occur during the brewing process.

=Conclusion=

=Code=
*Casual Loop:
[[File:Beer.mdl]]
*Stock and Flow:
[[File:Beer2.mdl]]

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T23:15:06Z

Doba00: /* Water */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

This simulation focuses on addressing factors that have an effect on beer fermentation and influence the alcohol percentage in the final product. It should suit the brewery makers in the food industry to better evaluate beer-making conditions to make preferred outcomes of alcohol levels. This simulation was developed as part of the project for the 4IT496 Simulation of Systems class.

=Problem definition=

Due to the complex interactions between internal and external variables, brewers continue to face crucial challenges in accurately regulating the alcohol content of beer fermentation. The final alcohol percentage is directly influenced by variables like sugar concentration, yeast type selection, and temperature fluctuations. This simulation attempts to give brewers a comprehensive platform to experiment with different scenarios to optimize their brewing procedures. This model aims to equip brewers with practical insights so they may make well-informed decisions for consistent and ideal alcohol levels by addressing the complex dynamics of beer fermentation.

=Method=

The Vensim PLE modeling software was chosen for the solution of the above-described case.

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Variables=

===Temperature===

Represents the temperature of the fermentation process.

===Rate of Fermentation===

Represents the speed at which fermentation is occurring.

===Yeast population===

Represents the quantity of yeast cells involved in fermentation.

===Yeast type===

Represents the type or strain of yeast used in fermentation.

===Carbon Dioxide Produced===

Represents the production of carbon dioxide as a byproduct of fermentation.

===Sugar Concentration===

Represents the amount of sugars available for fermentation.

===Alcohol Level===

Represents the concentration of alcohol in the beer.

===Volume of Beer===

Represents the quantity of beer in the fermentation process.

===Water===

Represents the amount of water involved in the fermentation process.

=Results=

=Conclusion=

=Code=
*Casual Loop:
[[File:Beer.mdl]]
*Stock and Flow:
[[File:Beer2.mdl]]

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T23:13:34Z

Doba00: /* Temperature */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

This simulation focuses on addressing factors that have an effect on beer fermentation and influence the alcohol percentage in the final product. It should suit the brewery makers in the food industry to better evaluate beer-making conditions to make preferred outcomes of alcohol levels. This simulation was developed as part of the project for the 4IT496 Simulation of Systems class.

=Problem definition=

Due to the complex interactions between internal and external variables, brewers continue to face crucial challenges in accurately regulating the alcohol content of beer fermentation. The final alcohol percentage is directly influenced by variables like sugar concentration, yeast type selection, and temperature fluctuations. This simulation attempts to give brewers a comprehensive platform to experiment with different scenarios to optimize their brewing procedures. This model aims to equip brewers with practical insights so they may make well-informed decisions for consistent and ideal alcohol levels by addressing the complex dynamics of beer fermentation.

=Method=

The Vensim PLE modeling software was chosen for the solution of the above-described case.

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Variables=

===Temperature===

Represents the temperature of the fermentation process.

===Rate of Fermentation===

Represents the speed at which fermentation is occurring.

===Yeast population===

Represents the quantity of yeast cells involved in fermentation.

===Yeast type===

Represents the type or strain of yeast used in fermentation.

===Carbon Dioxide Produced===

Represents the production of carbon dioxide as a byproduct of fermentation.

===Sugar Concentration===

Represents the amount of sugars available for fermentation.

===Alcohol Level===

Represents the concentration of alcohol in the beer.

===Volume of Beer===

Represents the quantity of beer in the fermentation process.

===Water===

=Results=

=Conclusion=

=Code=
*Casual Loop:
[[File:Beer.mdl]]
*Stock and Flow:
[[File:Beer2.mdl]]

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T23:13:18Z

Doba00: /* Variables */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

This simulation focuses on addressing factors that have an effect on beer fermentation and influence the alcohol percentage in the final product. It should suit the brewery makers in the food industry to better evaluate beer-making conditions to make preferred outcomes of alcohol levels. This simulation was developed as part of the project for the 4IT496 Simulation of Systems class.

=Problem definition=

Due to the complex interactions between internal and external variables, brewers continue to face crucial challenges in accurately regulating the alcohol content of beer fermentation. The final alcohol percentage is directly influenced by variables like sugar concentration, yeast type selection, and temperature fluctuations. This simulation attempts to give brewers a comprehensive platform to experiment with different scenarios to optimize their brewing procedures. This model aims to equip brewers with practical insights so they may make well-informed decisions for consistent and ideal alcohol levels by addressing the complex dynamics of beer fermentation.

=Method=

The Vensim PLE modeling software was chosen for the solution of the above-described case.

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Variables=

===Temperature===

===Rate of Fermentation===

Represents the speed at which fermentation is occurring.

===Yeast population===

Represents the quantity of yeast cells involved in fermentation.

===Yeast type===

Represents the type or strain of yeast used in fermentation.

===Carbon Dioxide Produced===

Represents the production of carbon dioxide as a byproduct of fermentation.

===Sugar Concentration===

Represents the amount of sugars available for fermentation.

===Alcohol Level===

Represents the concentration of alcohol in the beer.

===Volume of Beer===

Represents the quantity of beer in the fermentation process.

===Water===

=Results=

=Conclusion=

=Code=
*Casual Loop:
[[File:Beer.mdl]]
*Stock and Flow:
[[File:Beer2.mdl]]

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T23:11:20Z

Doba00: /* rate of fermentation */

Factors that influence beer fermentation

2024-01-20T23:05:51Z

Doba00: /* Variables */

Factors that influence beer fermentation

2024-01-20T22:58:28Z

Doba00:

Factors that influence beer fermentation

2024-01-20T22:54:53Z

Doba00: /* Code */

Factors that influence beer fermentation

2024-01-20T22:53:15Z

Doba00: /* Code */

File:Beer2.mdl

2024-01-20T22:51:22Z

Doba00:

File:Beer.mdl

2024-01-20T22:51:00Z

Doba00:

Factors that influence beer fermentation

2024-01-20T22:50:12Z

Doba00: /* Problem definition */

Factors that influence beer fermentation

2024-01-20T22:41:19Z

Doba00: /* Method */

Factors that influence beer fermentation

2024-01-20T22:39:33Z

Doba00: /* Introduction */

Factors that influence beer fermentation

2024-01-20T22:38:02Z

Doba00: /* Introduction */

Factors that influence beer fermentation

2024-01-20T22:33:04Z

Doba00: /* Model */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

=Problem definition=

=Method=

=Model=

[[File:Beer11.png]]
[[File:Beer22.png]]

=Results=

=Conclusion=

=Code=

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

File:Beer22.png

2024-01-20T22:32:02Z

Doba00:

File:Beer11.png

2024-01-20T22:31:41Z

Doba00:

File:Beer2.png

2024-01-20T22:27:23Z

Doba00:

File:Beer1.png

2024-01-20T22:26:58Z

Doba00:

Factors that influence beer fermentation

2024-01-20T21:26:57Z

Doba00: /* Sources */

'''Author:''' Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 22:04, 20 January 2024 (CET)

'''Tool:''' Vensim

=Introduction=

=Problem definition=

=Method=

=Model=

=Results=

=Conclusion=

=Code=

=Sources=

*https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
*https://science.howstuffworks.com/innovation/edible-innovations/beer4.htm
*https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
*chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
*https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.
*Mosher, M., & Trantham, K. (2021). Brewing Science: a Multidisciplinary approach. In Springer eBooks. https://doi.org/10.1007/978-3-030-73419-0

Factors that influence beer fermentation

2024-01-20T21:16:17Z

Doba00:

Factors that influence beer fermentation

2024-01-20T21:04:56Z

Doba00: Created page with "'''Author:''' Adéla Dobešová, ~~~~ '''Tool:''' Vensim =Introduction= =Problem definition= =Method= =Model= =Results= =Conclusion= =Code="

WS 2023/2024

2024-01-20T20:57:18Z

Doba00:

Semestral papers from winter term 2023/2024. Please, put here links to the pages with your paper. First you need to have your [[Assignments WS 2023/2024|assignment approved]]<br>

*Simulation of pandemic spread: [[Simulation of pandemic spread]], Daniel Kopecký, [[User:Kopd05|Kopd05]] ([[User talk:Kopd05|talk]]) 22:32, 16 January 2024 (CET)
*Aquatic ecosystem simulation: [[Aquatic ecosystem simulation]], Daria Tutynina, [[User:DariaTut|DariaTut]] ([[User talk:DariaTut|talk]]) 17:17, 19 January 2024 (CET)
*Space Junk: [[Space Junk]], Adam Valtr, [[User:Adamvaltr|vala18(AdamValtr)]] ([[User talk:Adamvaltr|talk]]) 14:16, 20 January 2024 (CET)
*Simulation of product distribution: [[Simulation of product distribution]], Lucia Pavlíková, [[User:LuciaPavlikova|pavl08(LuciaPavlikova)]] ([[User talk:pavl08|talk]]) 17:59, 20 January 2024 (CET)
*Simulation of the Ocean Carbon Uptake and Atmospheric Carbon Dioxide: [[Simulation of the Ocean Carbon Uptake]], [[User:Tata05|Tata05]] ([[User talk:Tata05|talk]]) 20:00, 20 January 2024 (CET)
*Factors that influence beer fermentation [[Factors that influence beer fermentation]], Adéla Dobešová, [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 21:56, 20 January 2024 (CET)

Assignments WS 2023/2024

2023-12-20T14:52:09Z

Doba00:

{{Ambox
| text = <div>
Please, put here your assignments. Do not forget to sign them. You can use <nowiki>~~~~</nowiki> (four tildas) for an automatic signature. Use Show preview in order to check the result before your final sumbition.
</div>
}}

{{Ambox
| text = <div>
Please, strive to formulate your assignment carefully. We expect an adequate effort to formulate the assignment as it is your semestral paper. Do not forget that your main goal is a research paper. It means your simulation model must generate the results that are specific, measurable and verifiable. Think twice how you will develop your model, which entities you will use, draw a model diagram, consider what you will measure. No sooner than when you have a good idea about the model, submit your assignment. And of course, read [[How to deal with the simulation assignment|How to deal with the simulation assignment]].
</div>
}}

{{Ambox
| text = <div>
Topics on gambling, cards, etc. are not welcome.
</div>
}}

{{Ambox
| type = content
| text = <div>
In order to avoid possible confusion, please, check if you have added '''approved''' in bold somewhere in our comment under your submission. If there is no '''approved''', it means the assignment was not approved yet.
</div>
}}

{{Ambox
| text = <div>
'''Criteria for evaluation of the simulation proposal'''

The proposal must contain:
*What you will simulate
*The goal of the simulation (what you analyze - i.e. not "to simulate balloon factory", but what problem should the simulation solve).
*Who would actually use such simulation (example of such user) and how would it help him
*What method and simulation environment you plan to use. Choose only from the development environments that we have used in the course.
*What variables will be incorporated
*What variables will be random
*What exact data you will base values of your variables on
*(In case of Monte Carlo) What exact data you will base your determination of probability distribution of your random variables on
*What exact data you will base your formulas in the simulation (simulation behavior) on

'''If any of the above points are missing from the simulation proposal, the proposal is considered incomplete. Unless the proposal contains all of the above points it will not be evaluated at all (and therefore cannot be approved).'''

# Is it clear from the proposed assignment how the simulation will work?
# Does the simulation make sense?
# Is the simulation model complex enough to simulate credibly the real-world phenomenon that the simulation tries to simulate?
# Is the data used real and relevant for the real-world phenomenon that the simulation tries to simulate?
# Is the simulation feasible? (in given time by the course)

'''If the answer to any of the above points is no, you need to improve your proposal. Don't wait for us to tell you so - you're wasting your time.'''

</div>
}}

== Kopd05 - Simulace šíření pandemie ==

*Cílem simulace bude zkoupání šíření různých virů, podle jejich koeficientu šíření, uzdravování či úmrtnosti.
*Simulaci mohou využívat epidemiologové, ke zkoumání šířitelnosti virů a predikci vývoje pandemie.
*Simulace bude vypracována pomoci NetLogo - Agent based modelu
*V simulaci budou následující proměnné:
**Rychlost šíření viru
**Šance na uzdravení jedince
**Riziko smrti
**Počet jedinců
**Počet nakažených
**% imunních jedinců (náhodná)
**Rychlost vakcinace
**jeImunní
**jeNakažený
**jeOčkovaný
**šanceNaUzdravení (náhodná)

* Data mohou být založena na reálných datech o virech, či mohou být nastaveny individuálně. <br>Například šiřitelnost virusu bude založena na reprodukčním čísle R (lze dohledat na internetu)

* Vše bude založeno na volně dostupných datech online, které souvisí s daným tématem, virem, apod.

[[User:Kopd05|Kopd05]] ([[User talk:Kopd05|talk]]) 21:02, 12 December 2023 (CET)

:'''This course is in English. We accept English versions only.''' [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]])

== Tutd00 - Aquatic ecosystem simulation ==

*The simulation is inspired by the classic "predator and prey" model. The goal is to model the behavior of fish, plants and predators in the generated aquatic environment.
*The simulation will be developed using the NetLogo - Agent based model
*The following variables will be in the simulation:
** The water temperature
** Pollution level
** Number of fish
** Number of sharks
** Number of plants
** Time of death of fish and shark (random)
** Fish and shark breeding time (random, but only after feeding)
** and also variables that depend on the basic ones: number of dead fish and sharks, number of plants eaten

* The user has the option to set the number of fish, plants, sharks, water temperature and pollution level when starting the simulation.
* The rules: Cold water temperatures accelerate the rate of reproduction of predators, while warm water speeds up the rate of reproduction of fish.High water pollution slows down the reproduction of fish and sharks, but speeds up the growth of plants. The user can change settings during the simulation.
* This simulation allows the user to investigate how different parameter configurations affect ecosystem stability and dynamics and could be modified and used to model real aquatic systems.
* The data used in the simulation is based on real sources dedicated to the topic of aquatic systems (example: https://www.nalms.org/wp-content/uploads/2018/09/31-2-5.pdf), but will be implemented in a simplified form.

[[User:DariaTut|DariaTut]] ([[User talk:DariaTut|talk]]) 10:47, 18 December 2023 (CET)

:'''This course is in English. We accept English versions only.''' [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 19:58, 19 December 2023 (CET)
:'''Edited''' [[User:DariaTut|DariaTut]] ([[User talk:DariaTut|talk]]) 20:27, 19 December 2023 (CET)

== Kubs09 - Simulation of Passenger Behavior at the Main Train Station ==

*Topic: Passenger behavior when boarding trains at the entire Main Train Station
*Utilization: This could be utilized, for instance, by Czech Railways/main station administrators to better adjust trains and their arrival positions.
*Method: Agent-based modelling, Netlogo
*Variables:
**Number of passengers
**Number of trains
**Passengers positions
**Timetable (train departures/arrivals)
**Delays (random)
**isCollision
**isDelay(random)

* Sources: For this simulation, predominantly sources from Google Scholar would be used, or scientific articles found in the E-library of VSE.

[[User:Kubs09|Kubs09]] ([[User talk:Kubs09|talk]]) 20:35, 19 December 2023 (CET)

:'''This course is in English. We accept English versions only.''' [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 19:58, 19 December 2023 (CET)
:'''Edited.'''

== Vysj06 - Simulation of Agricultural Production and Climate Change ==

*Objective of the simulation: To model the impact of climate change on agricultural production, including soil fertility, crop yields, and irrigation.
*Usage: To provide farmers, scientists, and policymakers with tools for better planning and adaptation to climate changes.
*Method: Agent-based modeling, using NetLogo.
*Variables:
**Types of crops (grains, vegetables, fruits).
**Soil conditions and their changes.
**Amount and distribution of precipitation.
**Temperature changes.
**Irrigation methods and their efficiency.

*Data: Based on real climate and agricultural data, including historical trends and forecasts. Option to configure parameters.
*Output: The simulation will provide users with the ability to visualize and understand the impact of various climate scenarios on agricultural production and possible adaptation strategies.

[[User:Vysj06|Vysj06]] ([[User talk:Vysj06|talk]]) 21:25, 19 December 2023 (CET)

:'''This course is in English. We accept English versions only.''' [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 19:59, 19 December 2023 (CET)
'''Edited'''

== Doba00 - Factors that influence beer fermentation ==

<div>
*Simulation: This simulation will focus on addressing external and internal factors that have an effect on beer fermentation and influence alcohol percentage in the final product.
** Can be used by brewery makers in the food industry to better evaluate beer-making conditions in order to make preferred outcomes of alcohol levels.
*Incorporated variables:
**temperature,
**yeast type,
**gravity of the wort,
**carbon dioxide production,
**cooling,
**yeast reuse

*Goal: The simulation aims to analyze factors affecting the beer fermentation process and evaluate the best conditions for getting preferred outcomes in alcohol percentage in the final product.

*Method: Vensim

*Data:
**https://www.phind.com/search?cache=uu8fcm0sqdc1fyznvi0o0rhx&fbclid=IwAR30Y-m8maeJI3WFcW-fLvqTlRov_63mfnCGPxC9RiANZQbkQaYNO8MDl0M
**https://www.researchgate.net/publication/284725490_Biochemistry_of_beer_fermentation
**chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://ucitelchemie.upol.cz/materialy/vkpch/vyroba_piva_text_pro_ucitele.pdf
**https://grainfather.com/beer-fermentation-process/#:~:text=Typically%20the%20cooler%20the%20temperature,unwanted%20attributes%20in%20the%20beer.

*Author: [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 16:25, 19 December 2023 (CET)
</div>
::Please provide us with the reference to particular data, you wil base your simulation on. How exactly will your simulation work? How will you simulate the dynamics of food prices in the food industry? From what data you will derive the formulas neccesary for it? [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 17:17, 19 December 2023 (CET)
:: '''Edited'''. After a thorough consideration, I have decided to change the topic completely. I hope it is more suitable now. [[User:Doba00|Doba00]] ([[User talk:Doba00|talk]]) 15:51, 20 December 2023 (CET)

== Tata05 - Simulation of the Ocean Carbon Uptake and Atmospheric Carbon Dioxide ==

<div>
*Problem definition: I want to simulate the process of the Life cycle of processing carbon dioxide from the atmosphere and increasing the stored carbon dioxide on the ocean floor. This process influences ocean acidification and affects the entire climate. The ocean absorbs carbon dioxide from the atmosphere wherever air meets water. Regarding scientists oceans absorb 30% of our emissions, driven by a huge carbon pump.
*Method: Agent-based simulation, NetLogo.
*Variabels:
**Solar Energy
**Atmospheric CO2
**Changes in temperature
**Change in water acidity
**CO2 dissolving
**Carbon capture and storage
*Resource: Information from National Oceanic and Atmospheric Administration, Nasa Global Climate, https://www.soest.hawaii.edu/oceanography/faculty/zeebe_files/Publications/ZeebeWolfEnclp07.pdf

[[User:Tata05| Tata05]] ([[User talk:Tata05|talk]]) 16:46, 19 December 2023 (CET)
::Please provide us with the reference to literature with formulas you will base your simulation on. Without it, it is impossible to evaluate wheather the simulation will make sense. [[User:Oleg.Svatos|Oleg.Svatos]] ([[User talk:Oleg.Svatos|talk]]) 17:13, 19 December 2023 (CET)

::Reference: https://www.soest.hawaii.edu/oceanography/faculty/zeebe_files/Publications/ZeebeWolfEnclp07.pdf
:'''Edited''' [[User:Tata05|Tata05]] ([[User talk:Tata05|Tata05]]) 21:49, 19 December 2023 (CET)

==akee00== Urban Traffic flow and Pollution Control ==

<div>
*Primary objective: To analyze the impact of different traffic management strategies on urban traffic flow and air pollution levels.
*Problem to solve: Determining the most effective traffic management strategy that minimizes traffic congestion and reduces air pollution in an urban environment.
*Context: With growing urban populations, traffic congestion and pollution have become critical issues. This simulation aims to explore how various traffic control measures can alleviate these problems.
*Method and Simulation Environment:
**Agent based Modelling
**Simulation Tool: Netlogo.
*Environment Setup: A simulated urban area with a grid of streets, traffic signals, vehicles, and pollution indicators.
*Variables and Data:
*Random variables:
**Vehicle breakdowns,
**Driver behaviour: route choice and speed variability
**Traffic incidents
**Weather conditions
**Vehicle emission rates.
*Incorporated (deterministic) variables:
**Vehicle agents: count, types
**Traffic signal agents: signal timing, adaptive signals
**Pollution measurement: Baseline emission levels, Air quality index
**Traffic Management Strategies
**Road layout.
*Data source:
**Traffic and transportation data for Prague from praha.eu
*Expected outcome: The simulation should reveal the most effective traffic management strategies for reducing congestion and pollution. By comparing these results with real-world data, urban planners can make informed decisions to improve traffic flow and air quality in cities.

: This is generally a good topic, however the scope you suggest is really large and you would be hardly able to deliver results. Limit the model reasonably, e.g. choose just a limited area or limit the model different way. [[User:Tomáš|Tomáš]] ([[User talk:Tomáš|talk]]) 20:04, 19 December 2023 (CET)

Assignments WS 2023/2024

2023-12-19T15:26:15Z

Doba00: