SUST1001U Models

These models and simulations have been tagged “SUST1001U”.

         SUST1001U Sustainability Fundamentals   Dr. Bob Bailey  Group 4:  Amandeep Saroa 	(100836651) Matt Baird	 	(1008406500)  Nami Zuha 		(100821467)  Zachary Wayne 	(100814747)    
The purpose of the InsightMaker model is to model how Waste-to-Energy (WtE) technology impacts waste management ef


SUST1001U Sustainability Fundamentals
Dr. Bob Bailey

Group 4:

Amandeep Saroa (100836651)
Matt Baird (1008406500)

Nami Zuha (100821467)

Zachary Wayne (100814747)

The purpose of the InsightMaker model is to model how Waste-to-Energy (WtE) technology impacts waste management efficiency, energy output and greenhouse gas emissions for the scale of ten years (assuming the WtE technology integration in an urban setting). This will determine if WtE has the capability of minimizing the reliance on waste landfills as well as assisting reaching renewable energy targets. This model will shine light on Waste-to-Energy sustainability opportunities and challenges.


Orange variables are associated with calculating waste volume, green variables are associated with calculating energy generation.



This population dynamics model simulates the growth and decline of the Javan Rhinoceros population over time (over course of 50 years). The model focuses on the balance between births and deaths within the population, providing insight into how different factors affect the species' survival and grow
This population dynamics model simulates the growth and decline of the Javan Rhinoceros population over time (over course of 50 years). The model focuses on the balance between births and deaths within the population, providing insight into how different factors affect the species' survival and growth rates. By using constant fertility and death rates, the model reflects the natural dynamics of the Javan Rhinoceros population, illustrating the interplay between reproduction and mortality.
3 months ago
This is the flow of electricity in homes and business of the fictional town Wilton. The values were based on the projected power plan of the town Milton. In this stimulation, we see how much electricity is coming in from each energy source and how the total energy on the town's power grid is distrib
This is the flow of electricity in homes and business of the fictional town Wilton. The values were based on the projected power plan of the town Milton. In this stimulation, we see how much electricity is coming in from each energy source and how the total energy on the town's power grid is distributed between residents and corporate buildings in Wilton.
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
This model simulates the tradeoff between the total costs and total benefits of using AI. The model shows the investment rate in comparison to the effectiveness and efficiency rate of the AI and we can visualize this relationship with our graph to see the cost and benefits of AI.
This model simulates the tradeoff between the total costs and total benefits of using AI. The model shows the investment rate in comparison to the effectiveness and efficiency rate of the AI and we can visualize this relationship with our graph to see the cost and benefits of AI.
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
The dynamics of homeless population in Toronto with constant homelessness and rehabilitation rates
The dynamics of homeless population in Toronto with constant homelessness and rehabilitation rates
This model simulates the basic dynamics of a water reservoir, including the impact of rainfall, community water consumption, conservation efforts, and evaporation. The model shows how the reservoir’s water level changes over time based on natural inflows and human , nature water use.
This model simulates the basic dynamics of a water reservoir, including the impact of rainfall, community water consumption, conservation efforts, and evaporation. The model shows how the reservoir’s water level changes over time based on natural inflows and human , nature water use.
3 months ago
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the popul
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.
This model simulates a 100 acre organic strawberry farm. The net income of this farm is determined through several factors such as its yield and sales and its harvesting and packaging and labour as well. Adjusting the value of acres can increase farm size and see cost differences and net income diff
This model simulates a 100 acre organic strawberry farm. The net income of this farm is determined through several factors such as its yield and sales and its harvesting and packaging and labour as well. Adjusting the value of acres can increase farm size and see cost differences and net income differences.
         SUST1001U Sustainability Fundamentals   Dr. Bob Bailey  Group 4:  Amandeep Saroa 	(100836651) Matt Baird	 	(1008406500)  Nami Zuha 		(100821467)  Zachary Wayne 	(100814747)    
The purpose of the InsightMaker model is to model how Waste-to-Energy (WtE) technology impacts waste management ef


SUST1001U Sustainability Fundamentals
Dr. Bob Bailey

Group 4:

Amandeep Saroa (100836651)
Matt Baird (1008406500)

Nami Zuha (100821467)

Zachary Wayne (100814747)

The purpose of the InsightMaker model is to model how Waste-to-Energy (WtE) technology impacts waste management efficiency, energy output and greenhouse gas emissions for the scale of ten years (assuming the WtE technology integration in an urban setting). This will determine if WtE has the capability of minimizing the reliance on waste landfills as well as assisting reaching renewable energy targets. This model will shine light on Waste-to-Energy sustainability opportunities and challenges.


Orange variables are associated with calculating waste volume, green variables are associated with calculating energy generation.



3 days ago
In this model, I will be demonstrating my understanding of Modelling a Human Population by using Oshawa as a current example. For this model, we begin with a current population of 170,000. However, with Oshawa's "theoretically new" (just to demonstrate my understanding) neighbourhoods being built th
In this model, I will be demonstrating my understanding of Modelling a Human Population by using Oshawa as a current example. For this model, we begin with a current population of 170,000. However, with Oshawa's "theoretically new" (just to demonstrate my understanding) neighbourhoods being built the population will change to reflect that and the city's appropriate carrying capacity! By using variable factors such as "Moving in/inflow rate" and "Moving out/outflow rate" to reflect the number of current residents residing within Oshawa (nResidents).
The model shows us how the human population within the city of Oshawa with density-dependent birth rate and the Immigration rate where the birth rate and immigration equals the death rate and emigration rate when the population is at carrying capacity whilst the birth rate and the immigration is gre
The model shows us how the human population within the city of Oshawa with density-dependent birth rate and the Immigration rate where the birth rate and immigration equals the death rate and emigration rate when the population is at carrying capacity whilst the birth rate and the immigration is greater than the death rate and emigration rate when the population is below carrying capacity, the birth rate and immigration is below the death rate and emigration rate when the population is above carrying capacity.
This complex system models an organic strawberry farm in Northumberland County, ON. The model aims to highlight the various factors that influence revenue and expenses of the farm, and overall can predict the cumulative net income over a 25 year period.     Beginning with a $100,000 inheritance that
This complex system models an organic strawberry farm in Northumberland County, ON. The model aims to highlight the various factors that influence revenue and expenses of the farm, and overall can predict the cumulative net income over a 25 year period. 

Beginning with a $100,000 inheritance that is input into the organic farm, one can estimate the cumulative farm net income (the stock) both annually and over a prolonged period based on the various expenses (outflow) which must be paid per year, and the sources of revenue (inflow) within the same time period.

Note: The values and variables used in this model were based on the University of California Agriculture and Natural Resources Guide, or the Sample Costs to Produce and Harvest Organic Strawberries Guide for the year 2024. 
2 months ago
 The model simulates the local environmental (specifically greenhouse gas emissions), economic, and resource impacts of transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) for personal ownership in New York City in the context of a sustainable program of new ene
The model simulates the local environmental (specifically greenhouse gas emissions), economic, and resource impacts of transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) for personal ownership in New York City in the context of a sustainable program of new energy vehicles, which is the context of the current era. To be realistic, we combine delay and stochasticity in this model to simulate the real world. By understanding the model, one can gain insight into the importance of EV penetration for sustainable development.

2 weeks ago
By: Roman Ahmad Zeia, Rhythm Alam, Hailey Uhlman-O’Conner, Ahmer Khan, Zain Siddiqui  This model estimates the annual emissions from Toronto's multiple transit options including Trains, Airplanes, Gas & Electric personal vehicles and Buses. The resulting chart reports in the in the amount of kil
By: Roman Ahmad Zeia, Rhythm Alam, Hailey Uhlman-O’Conner, Ahmer Khan, Zain Siddiqui

This model estimates the annual emissions from Toronto's multiple transit options including Trains, Airplanes, Gas & Electric personal vehicles and Buses. The resulting chart reports in the in the amount of kilograms of emissions  over years.
last week
This model demonstrates the tradeoff between the resource costs of deploying AI systems—specifically electricity and water consumption—and the benefits gained from increased efficiency and effectiveness. It simulates how the deployment of AI systems grows over time and quantifies both the cumulative
This model demonstrates the tradeoff between the resource costs of deploying AI systems—specifically electricity and water consumption—and the benefits gained from increased efficiency and effectiveness. It simulates how the deployment of AI systems grows over time and quantifies both the cumulative costs and the cumulative efficiency gains.
The following link will show how I created the model using AI:
https://chatgpt.com/share/671ff44a-912c-8008-b1ef-6535fe0ae0b1
last month
The dynamics of Oshawa's human population are influenced by a density-dependent growth rate. The population growth rate equals the mortality rate when the population reaches the city's carrying capacity, defined by available housing, jobs, healthcare, and other resources. The growth rate exceeds the
The dynamics of Oshawa's human population are influenced by a density-dependent growth rate. The population growth rate equals the mortality rate when the population reaches the city's carrying capacity, defined by available housing, jobs, healthcare, and other resources. The growth rate exceeds the mortality rate when the population is below carrying capacity, allowing for positive net growth. Likewise, when the population surpasses the city's carrying capacity, growth declines, and the mortality rate exceeds the growth rate due to overburdened resources and infrastructure.
3 months ago
This model illustrates the flow of water in a reservoir, with inflows from rainfall and outflows from community water usage. It tracks how the amount of water in the reservoir changes over time, depending on the balance between inflow and outflow. In this example, the inflow from rainfall (2,000 lit
This model illustrates the flow of water in a reservoir, with inflows from rainfall and outflows from community water usage. It tracks how the amount of water in the reservoir changes over time, depending on the balance between inflow and outflow. In this example, the inflow from rainfall (2,000 liters/day) exceeds the outflow from water consumption (1,500 liters/day + 400 liters/day = 1,900 liters/day), leading to a gradual increase in the reservoir's water level by 100 liters per day. The model demonstrates how fluctuations in rainfall and water usage rates affect the sustainability of water resources, making it useful for understanding water management in changing environmental conditions.
3 months ago
 This model analyzes the growth and dynamics of Oshawa’s population using a logistic approach. Starting with an initial population of 170,000 and an increased carrying capacity of 180,000, it evaluates how the addition of new neighbourhoods, planned to accommodate an extra 10,000 residents over the
This model analyzes the growth and dynamics of Oshawa’s population using a logistic approach. Starting with an initial population of 170,000 and an increased carrying capacity of 180,000, it evaluates how the addition of new neighbourhoods, planned to accommodate an extra 10,000 residents over the next 10-15 years (or whatever time period) affects population changes. Key factors include the Oshawa Residents Death/Emigration Rate of 0.8% (realistic percent approximation), accounting for natural deaths and emigration, and the Oshawa Residents Birth/Immigration Rate of 2.4% (also a realistic percent approximation), reflecting new residents through births and immigration. The model tracks the net population change, providing insights into how Oshawa's population might grow or stabilize as it approaches its new carrying capacity!
This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates.  Note: As this is an example of a simple system, the model includes one stock component, an inflow, and an outflow, each of which is affected by a varia
This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates. 
Note: As this is an example of a simple system, the model includes one stock component, an inflow, and an outflow, each of which is affected by a variable. The stock within this model is the monkey population, the inflow is the monkey births, which are affected by the monkey birth rate, and the outflow is the monkey deaths, which are affected by the monkey death rate. Exponential and graph population data can be viewed using the "Simulate" feature. 
3 months ago