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Parameters
Giacomo Falchetta edited this page Jul 24, 2020
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General parameters affecting the results are found at various locations of the M-LED platform. However, gradually, they are been moved to two a location tne scenario_baseline.py file.
This script includes information to be manually adjusted by the user on the country/region under analysis, its population and electrcity access level, the planning horizon, and techno-economic parameters of efficiency, costs, the discount rate, and physical constraints.
Most of the current values are 'good-to-go' , but each parameter is commented to allow for an understanding of its significance.
| Parameter | Description |
|---|---|
| countryiso3 | Official ISO3 code of the country analysed (useful for file naming convention) |
| national_official_population | National population in year today
|
| national_official_elrate | Share of people with electricity access in year today
|
| today | Start year for the analysis |
| threshold_surfacewater_distance | Distance threshold which discriminates if groundwater pumping is necessary or a surface pump is enough, in meters |
| threshold_groundwater_pumping | Maximum depth at which the model allows for water pumping: beyond it, no possibility to install the pump, in meters |
| nhours_irr | Daily average hours of artificial irrigation |
| eta_pump | Efficiency of the water pump |
| discount_rate | Discount rate, for net present cost calculation purposes |
| fuel_consumption | Average fuel consumption in liters per hour, for transportation cost calculation purposes |
| fuel_cost | Baseline fuel cost (USD/liter) |
| truck_bearing_t | Average load of the truck (tons) |
| LCOE_for_pumping | Average LCOE for water pumping |
| lifetimepump | Lifetime of the pump in years |
| ***_app_cost | Total upfront cost of appliances (based on appliance baskets reported in .\ramp\Households.xlsx and .\ramp\Services.xlsx), in USD |
Giacomo Falchetta et al. (2020), the M-LED documentation