stanz said:
Xrain said:
If you add a 180 pound human in the equation it's 213.77 stock, and ill say 255 for the bike an 19% difference in weight in this case isn't all that significant.
Now you are adding detail to the term paper. I refer to the content of the paper which refers to the "gross vehicle weight", not the weight of the vehicle and a 180 pound or 120 pound rider. The weight of the rider is a constant, an undocumented constant.
There are other areas of the paper that are problematic as well. For instance, the paper assumes the charging cycle of the battery is exact or nearly so. How many ebike owners unplug their charger exactly when the battery is done charging? I suggest that the charger will remain plugged in for X hours consuming more electricity. (Not as much as when it is charging of course.) Again, this is adding data missing from the paper.
I TOTALLY agree that an ebike is a very efficient mode of transportation, my problem is with the logic used to discard parts of the equation.
If I were writing a paper on ebikes I would go further and include solar electric charging of the battery pack. To me this is the ideal argument for ebikes since it eventually lowers the carbon footprint of the ebike to nearly zero. (If you disregard the carbon impact of the rider since the rider would need some form of transportation anyway.)
Did you read the paper in it's entirety? He made a second comparison of Vancouver which gets a majority of its power from hydro-electric power. While its ecologically damaging, it has zero-carbon foot print.
Any decent quality charger will be micro-controller controlled, and would only draw a few tens of mA if that. even if you left it on for several hours, its not really statistically significant enough in a paper like this to be worth considering.
Let me make an example. When you perform a circuit analysis. You make plenty of assumptions, such as your wires have no resistance, certain components well behave linearly, your circuit is at standard pressure and temperature.
And these assumptions work just fine. All those factors add up to something statistically insignificant, and in standard cases using these idealized assumptions works just fine.
However, it is certainty possible to find times where these assumptions break down, such as if your circuit is going to work in an extreme of temperature, or there are high frequency components on it. Then you have to factor in the resistance of the traces, and non linear component reactions, since it has become statistically significant.
The same holds true for an analysis like this. If the title of the paper was "Economic Comparison of ebikes and bicycles in really hilly places with lots of stop lights" Then yes, assuming steady state speeds would be a poor practice.
Now you are adding detail to the term paper. I refer to the content of the paper which refers to the "gross vehicle weight", not the weight of the vehicle and a 180 pound or 120 pound rider. The weight of the rider is a constant, an undocumented constant.
A gross vehicle weight rating (GVWR)[1] is the maximum allowable total weight of a road vehicle or trailer when loaded - i.e including the weight of the vehicle itself plus fuel, passengers, cargo, and trailer tongue weight.
If he was to write a paper to the detail you seem to be requiring, it would be several hundred pages long, possibly a few thousand, you would have to recursively re-analyze any sources of information for estimated carbon foot print of food, batteries, air-planes, as they would no longer be sufficiently in depth enough to be a reliable source of information.
It would be a massive undertaking for not a very significant change the the relationship.
This is the kind of analysis that teams of hundreds of people spend millions of dollars doing. This is more on the scope of a Governmental inquiry. Not a Sophomore level University Term paper.