| Model size (data inputs and sourcecode) |
Data inputs: 10–15 MB Sourcecode: >120 MB |
Data inputs: 7–20 MB Sourcecode: 7–10 MB |
Data inputs: 1 MB Sourcecode: 903 KB Executable: 1 MB |
Excel spreadsheet~ 5 MB |
Data inputs: several MB Sourcecode: 208 KB |
| Hardware requirements |
512 MB RAM; Pentium processor |
256 MB RAM; Pentium 4; 2 GHz processor |
Pentium 4; 1.7 GHz processor |
128 MB RAM; Pentium III; >400 MHz; need 100 MB of space on hard drive |
128 MB RAM; Pentium III; 1,000 MHz; need 1 GB for model operational output |
| Software/platform |
PC platform; FORTRAN; Eviews software; OML linear programming software |
Linux; DYNAMO modeling language |
PC platform; FORTRAN; GUI Windows-based; MS Visual Studio; MS Access; MS Excel |
PC platform; GUI with Windows 95 or higher but 98 recommended |
Any platform; GAMS software |
| Run time |
Standalone1: <1 minute Total Integrated2: 2–4 hours |
5 minutes |
<1 minute |
Almost instantaneous; but if in simulation mode using stochastic distributions, then 3½ hrs. |
30–60 minutes |
| Resources for maintenance |
40 employees; 4 contractors |
2 National Lab employees |
2 National Lab employees |
4 National Lab employees |
2 National Lab employees |
| Transportation sector coverage |
TRAN Module: LDV (car and light truck); Freight Truck (medium and heavy-duty); Aviation (wide and narrow-body, and general aviation; Rail (passenger and freight); Waterborne (passenger and freight); Miscellaneous (military, mass transit, recreational boats; criteria pollutant emissions and GHGs |
End-user technologies by sector; LDV (car and light truck); heavy trucks; buses; airplanes; shipping; passenger rail; freight rail |
Passenger mode: LDV (car and light truck), buses, rail, air, motorcycles. |
Light-duty vehicle emissions for 8 advanced engine technologies (including hybrids and fuel cells) in combination with 15 fuel types including hydrogen, dimethyl ether and Fischer-Tropsch diesel |
Light-duty vehicles; consumer choice model; auto manufacturers and fuel production and distribution sectors |
| Economic component |
Uses Global Insight Macro Model and integrates all sectors of economy including employment and Census division regional models |
Macro Growth Model fully integrated |
ERB Model: 3 sector economy—residential/commercial, transportation, industrial; long-term trends in economic output |
None/not applicable |
Uses macroeconomic inputs |
| Forecast period |
2000–2025 |
Through 2050 |
Through 2100 |
Current year of operation using driving cycle |
Through 2030 |
| Time period |
Annual |
5 year intervals |
15 yearly increments |
Current year of operation using federal driving cycle |
Annual |
| Optimizing solution |
Dynamic equilibrium convergence with iterations |
Constrained least cost dynamic equilibrium |
Constrained dynamic equilibrium |
None/not applicable but can be used with stochastic processes |
Nonlinear optimization solvers |
| Regionality |
U.S. by 9 Census divisions; however, some supply modules may be using industry regions also |
United States |
14 global regions: U.S., Canada, Western Europe, Australia and New Zealand, Japan, former Soviet Union, Eastern Europe, China, Southeast Asia, Middle East, Africa, Latin America, South Korea, and India |
None/not applicable because it measures emissions from a vehicle type and not in aggregate |
U.S. and some world energy supply areas |
| Emissions measured |
Carbon and criteria pollutants: nitrogen oxides (NOx), sulfur oxides (SOx), carbon monoxide (CO), volatile organic compounds (VOC), particulates |
Carbon dioxide (CO2), SOx, NOx |
CO2, nitrous oxide (N2O), methane (CH4), CO, NOx, VOC |
CO2, CH4, and N2O, and criteria pollutants: VOC, CO, NOx, particulate matter smaller than 10 microns (PM-10), and SOx |
CO2 greenhouse gas equivalent; however, the model outputs are usually run through GREET to calculate other emissions |
Sources: Personal c+ommunication with model authors—NEMS Model: John Maples; Markal-Macro Model: Phillip Tseng; Mini-Cam Model: Son H. Kim; GREET Model: Michael Wang; TAFV Model: Paul Leiby.
