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To grid or not to grid Vijay Modi Professor, Earth Institute and Columbia Engineering.

Date post: 08-Jan-2018
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Ayse Selin Kocaman / Modi Research Group

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To grid or not to grid Vijay Modi Professor, Earth Institute and Columbia Engineering 80 Ayse Selin Kocaman / Modi Research Group Ayse Selin Kocaman / Modi Research Group Sounds simple, but where exactly people live was not obvious from census data Ayse Selin Kocaman / Modi Research Group Mean Cost Calculations (MID) Results for Different Dispersion of Structures Ruhiira, Uganda: 200 km 2, Southern Uganda (near Mbarara) Data Acquired for: Households Institutions Commercial Productive use Unit Type Number Education 27 Health 6 Markets 27 Grinding Mills 32 Household Clusters 399 > 13,0000 Households (from satellite imagery) can be clustered into ~400 demand points Min # HHs = 1 Max # HHs = 253 Average = 33 Demand Estimates: Electricity Consumption data and estimates are made for electricity demand at all points (kWh/year) Input data: Facilities and Household Clusters Unit Type Number Education 27 Health 6 Markets 27 Grinding Mills 32 Household Clusters 399 Grid Connection Off-Grid Connection Points in darker shades are those with off-grid connection Percentage of Grid vs Off-Grid Coverage Decision-making thru data (WB Report) Local Priorities and Constraints Roll-out plans and timelines with costing Rural and national linked Senegal, national planning Photograph Credits: Jose Barnuevo Potou cluster, SENEGAL, first Electricity for social institutions Stand-alone technologies mini-grids Local Level Planning and Priorities Grid extension Roll-out: By Branch (MV) Connect most cost-effective branches first Phase 1 < 20 Phase 2 20 25 Phase 3 > 25 Investment per capita Africa-Wide Transmission Scenario


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