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Physiology based insight to compare the energy balance and carbohydrate insulin models described in Nature Metabolism Obesity Causal Model Differences 2024 article See also Speakman and Hall's 2021 science article and insight and Stock flow Comparisons insight
Physiological regulation of energy metabolism
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Filling a tank with a pump. Tank is straight-walled (constant capacitance). Flow is laminar (linear flow relation.

Energy quantities have been added.
Filling_Tank_Energy
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This model prototypes the working of an Smart Grid with Electric Vehicles

The objective is testing the theoretical advantages of batteries (also batteries in Electric Vehicles) in combination with renewable energies. The model considers two houses, that store energy both in Electric Vehicles (Vehicle to Grid), and in a communal battery.

Except when specified otherwise, the units of all variables are expressed in W/h.

Press "Story" in the lower bar for a guided tour over the model. Better seen at 50% zoom.

by Carlos Varela (cvarela@gmx.at)
[Reference] Vehicle to Smart Grid - Prototype
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Clone of Clone of PA_if_6_Carvajal_Osorio_Tamayo
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Clone of Clone of PA_if_6_Carvajal_Osorio_Tamayo
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240 volt power system fed from 480 volt service
Clone of Power Distribution System
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A model of an energy system.
Clone of Clone of Energy System
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Clone of PA_if_6_Carvajal_Osorio_Tamayo
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Trying to show the drop in Barrels of Oil per day as the number of Electric Vehicles on the road increases.
Basic EV loop
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Clone of Clone of PA_if_6_Carvajal_Osorio_Tamayo
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This simulation examines the linkages between cultural, material, spatial demographic, and hierarchical dynamics.
Energy, Population, Urban Dependency
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Two households with PV systems and Electric Vehicles, sharing a battery and connected to the grid. What are the advantages?


Clone of Vehicle to Grid Simulation
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Two households with PV systems and Electric Vehicles, sharing a battery and connected to the grid. What are the advantages?


Clone of Vehicle to Grid Simulation
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THE 2017 MODEL (BY GUY LAKEMAN) EMPHASIZES THE PEAK IN POLLUTION BEING CREATED BY OVERPOPULATION WITH THE CARRYING CAPACITY OF ARABLE LAND NOW BEING 1.5 TIMES OVER A SUSTAINABLE FUTURE (PASSED IN 1990) AND NOW INCREASING IN LOSS OF HUMAN SUSTAINABILITY DUE TO SEA RISE AND EXTREME GLOBAL WATER RELOCATION IN WEATHER CHANGES IN FLOODS AND DROUGHTS AND EXTENDED TROPICAL AND HORSE LATTITUDE CYCLONE ACTIVITY AROUND HADLEY CELLS

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE  ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.
BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST. 
CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

Clone of 2017 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility by Guy Lakeman - The World3+ Model: Forecaster
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Describes the flow of money through the consultation program
Clean Energy Co-op - Costs and Cash Flow
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Ladislav Pospíchal, Martin Kuča, Šimon Marchal
projekt OSA - Systém výroby elektrické energie
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The current electricity portfolio of Texas is heavily reliant on high-emission sources of fossil fuel (i.e. Coal). Texas has a range of energy options at its disposal and has the opportunity to make choices that grow renewables (e.g. solar and wind) while encouraging the production of less carbon-intensive fossil fuels (e.g. natural gas).

As boundaries to our problem, we will be using 35 years as our time frame. We will also limit our model to the State of Texas as our spatial extent. Over the past decade, Texas is becoming a major natural gas consumer; the electricity portfolio has been gradually changing. However, around 40% of electricity is still generated from burning coal, and only a very minor portion of electricity is from renewables. Texas is betting better in adopting solar and wind energy, however generally speaking the state is still falling behind in renewable energy.

The two main goals are to lower the overall emission of greenhouse gases for the electricity grid and to encourage growth of cleaner, renewable energy resources.

Our objectives include maximizing the economic benefits of exploring unconventional oil and natural gas resources, diversifying the energy portfolio of Texas, encouraging the production and exportation of unconventional hydrocarbon resources, and reallocating the added revenue to the transition to renewables, like wind and solar

Clone of Energy Transition Model
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The current electricity portfolio of Texas is heavily reliant on high-emission sources of fossil fuel (i.e. Coal). Texas has a range of energy options at its disposal and has the opportunity to make choices that grow renewables (e.g. solar and wind) while encouraging the production of less carbon-intensive fossil fuels (e.g. natural gas).

As boundaries to our problem, we will be using 35 years as our time frame. We will also limit our model to the State of Texas as our spatial extent. Over the past decade, Texas is becoming a major natural gas consumer; the electricity portfolio has been gradually changing. However, around 40% of electricity is still generated from burning coal, and only a very minor portion of electricity is from renewables. Texas is betting better in adopting solar and wind energy, however generally speaking the state is still falling behind in renewable energy.

The two main goals are to lower the overall emission of greenhouse gases for the electricity grid and to encourage growth of cleaner, renewable energy resources.

Our objectives include maximizing the economic benefits of exploring unconventional oil and natural gas resources, diversifying the energy portfolio of Texas, encouraging the production and exportation of unconventional hydrocarbon resources, and reallocating the added revenue to the transition to renewables, like wind and solar

Energy Transition Model - Team 3
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Method with the feedback loops
Dynamic_Model_System dynamics approach to Isernia CBA
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Interaction between the energy sector and the climate system

Reference: https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions
Interaction between the energy sector and the climate system
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More information in the paper submitted to the Engineering Journal (Elsevier). Dynamic Cost-Benefit Analysis of Digitalization in the Energy Industry
Clone of System Dynamics Model. Cost-benefit analysis of smart grid investment in Isernia, Italy.
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PA_if_6_Carvajal_Osorio_Tamayo
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energy supply and losses for a house
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Clone of Clone of PA_if_6_Carvajal_Osorio_Tamayo