This simulates population growth, culture, energy, and land use. Parameters are somewhat arbitrary, and can be tailored to a specific urban system using real data.
This simulates population growth, culture, energy, and land use. Parameters are somewhat arbitrary, and can be tailored to a specific urban system using real data.
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

Reference: https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions
Attempt to clarify the differences in the models described in Speakman and Hall's 2021  science article
Attempt to clarify the differences in the models described in Speakman and Hall's 2021 science article
This simulation examines carrying capacity, based on a given cropland input in acres.
This simulation examines carrying capacity, based on a given cropland input in acres.
	For my school assignment, I created a net showing what the ideal energy system would be like.
For my school assignment, I created a net showing what the ideal energy system would be like.
First level of slowly building up a generic cost-benefit model primarily to show T313 students but useful elsewhere
First level of slowly building up a generic cost-benefit model primarily to show T313 students but useful elsewhere
A simple simulation​ of a house losing heat at a rate based on indoor vs. outdoor temperature difference, and turning a heating system on and off to maintain indoor temperature.
A simple simulation​ of a house losing heat at a rate based on indoor vs. outdoor temperature difference, and turning a heating system on and off to maintain indoor temperature.
8 months ago
Charging Electric Vehicles will have an impact in the electricity network infrastructure. What will be the influence at district level?
Charging Electric Vehicles will have an impact in the electricity network infrastructure. What will be the influence at district level?

  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

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

This model represents the core (more connected) assumptions of the proposed energy bill HR 4286
This model represents the core (more connected) assumptions of the proposed energy bill HR 4286
Update 24 Feburary 2016 (v3.1): This version has biomass, hydro and nuclear continuing at pre-transition maxima, rather than increasing. The combined emplacement rate cap for wind and PV is set at a default value of 5000 GW/year.  Major update 12 December 2015 (v3.0): This new version of the model o
Update 24 Feburary 2016 (v3.1): This version has biomass, hydro and nuclear continuing at pre-transition maxima, rather than increasing. The combined emplacement rate cap for wind and PV is set at a default value of 5000 GW/year.

Major update 12 December 2015 (v3.0): This new version of the model overhauls the way that incumbent energy source (fossil sources plus biomass, hydro electricity and nuclear electricity) supply capacity is implemented. This is now based on direct (exogenous) input of historical data, with the future supply curve also set directly (but using a separate input array to the historical data). For coal and natural gas fired electricity, this also requires that the simple, direct-input EROI method be used (i.e. same as for coal and NG heating, and petroleum transport fuels).

Note that this new version of the model no longer provides a historical view of the emplacement rates for energy supply sources other than wind and PV, and therefore no longer allows comparison of required emplacement rates for wind and PV with incumbent energy sources. Output data relating to this is available in model version v2.5 (see link below), for the specific transition duration built into that version of the model.

The previous version of the model (version 2.5) is available here.

The original "standard run" version of the model (v1.0) is available here.
Two households with PV systems and electric vehicles sharing a battery and connected to the grid. What are the advantages?  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 Vehicle
Two households with PV systems and electric vehicles sharing a battery and connected to the grid. What are the advantages?

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)
Using a hydrogen storage to remain energy-independent over the year
Using a hydrogen storage to remain energy-independent over the year
The statement that there can be no economic activity
without  energy and that fossil fuels are
finite contrasts with the fact that money is not finite and can be created by governments
via their central banks at zero marginal cost whenever needed.

 An important fact about COAL, GAS and OIL (even
wh
The statement that there can be no economic activity without  energy and that fossil fuels are finite contrasts with the fact that money is not finite and can be created by governments via their central banks at zero marginal cost whenever needed.

An important fact about COAL, GAS and OIL (even when produced via fracking) is that their net energy ratios are falling rapidly. In other words the energy needed to extract a given quantity of fossil fuels is constantly increasing. This ratio (Energy Invested on Energy Returned - EIOER) provides yet another warning that we can no longer rely on fossil fuels to power our economies. We cannot wait until the ratio falls to 1/1 before we invest seriously in alternative sources of energy, because by then industrial society as we know it doday will have ceased to exist. 

PS: A link between growth in energy consumption and GDP growth is clearly illustrated on slide 13 of Gail Tverberg's presentaion entitled ''Oops! The world economy depends on an energy-related bubble''. In fact, the slide shows that growth in energy consumption usually precedes GDP growth.

https://gailtheactuary.files.wordpress.com/2015/10/oops-debt-bubble-10_30_15.pdf