»BENJAMIN STEWART: Thanks a 
15:37:08 lot.  It's been   a while 
since I've done a conference 
15:37:12 either with   Canadians or 
geographers so this is a nice 
15:37:16 change from my   general work 
in teaching economist what 
15:37:22 maps are.  Yeah,   so thanks 
for having me.  My name is 
15:37:26 Benjamin Stewart.    I'm the 
senior geographer.  I'm going 
15:37:30 to talk a little   bit about 
achieving universal electrify 
15:37:33 case and   planning
15:37:45 ication and   planning.  
Followed up with a brief 
15:37:49 stint at   (indiscernible) 
Canada, did a lot of 
15:37:52 customizing coding   for tools
based on the software and 
15:37:56 followed up with a   masters 
degree from the University of 
15:38:02 Victoria in   GEOGRAPHY.  I 
studied under Dr. Nelson in 
15:38:07 the research   lab.  I studied
the movement of grizzly bears 
15:38:11 in relation   to the -- and
15:38:15 of course that training suited
me perfectly   go to work at 
15:38:19 the world bank.  It's bee
10 years and I'm   doing 
15:38:24 pretty well there.  Something 
-- they taught me   something
15:38:27 at (indiscernible).  Also 
quickly want to shout   
15:38:31 out my team.  We have 
colleagues working across the 
15:38:35 globe.  Majority of us are in 
Washington DC.  I'm in my   
15:38:42 base amount at Washington
now.  Philippines, endo knee  
15:38:47 INDONESIA,   it's a great
group. 
15:38:54 I'm going to be talking about
electrification.  Market 
15:38:59 access and urbanization.  We 
do   just about everything.  
15:39:01 Opinion the question I want to
answer today is, how much will
15:39:05 it cost to reach universal   
electrification of sub /SA /
15:39:12 HAR ran AFRICA.  It fits
nicely on maps.  There are 
15:39:15 other countries covered in the
platform I'll be presenting on
15:39:17 .  How many people are   going
to be effected and what the 
15:39:21 solutions are going to   be to
reach electrification.  I'm 
15:39:23 going to talk about the   
efforts, what this program 
15:39:29 really did and how it came to 
pro/EUGS.  I think this was in
15:39:34 in 2014, a number of efforts  
that were undertaken in AFRICA
15:39:41 to develop least cost   /HRE
electrification plan.  The 
15:39:45 results of those, while   they
were great reports were inCorp
15:39:51 income rabble.  There might 
have   been some comparable 
15:39:54 numbers but there's no 
building on   each other.  
15:39:57 That's where our program came 
in.  The   platform was 
15:40:00 designed to move people, to 
raise the   starting point for
15:40:05 least -- develop a high level 
understanding of where the /
15:40:08 HREBG /TREU identified people 
are and what will be the least
15:40:12 cost solution for them to   
reach universal
15:40:15 electrification.  They build
upon each   other.  So because
15:40:18 of that, there are many 
aspects to be   electricity 
15:40:20 case
15:40:25 .  Really, the explore as the 
platform to   individualize 
15:40:28 the results.  There's a tool 
box, an open   source 
15:40:32 REPOSITORY of code that allows
you to run the   akneel seize 
15:40:43 the   analysis.  Developed
international standards and 
15:40:47 similar   analysis are -- 
reach a level for comparable 
15:40:49 is possible
15:40:56 .    So, all this to take you
to the global electrification 
15:40:59 platform.  You can explore the
least cost /HREBG /TREU   
15:41:03 electrification   solutio
for 58 countries around the 
15:41:09 globe.  Each of the   
countries we have a hundred 
15:41:12 scenarios you can explore.    
Changing various parameters, 
15:41:14 you can explore different   
things such as changes in 
15:41:18 demand, changes in population 
growth and the cost of 
15:41:21 electrification.  That will 
sort   of lead to a solution 
15:41:24 where you can determine what 
will   be the total cost and 
15:41:28 what will be the different 
solutions to provide access.  
15:41:31 Quickly this is a summary   
map of AFRICA.  There's 
15:41:34 countries that missing
15:41:39 .  Here we   have it.  This is
the map of what least 
15:41:42 electrification.    The blue 
area is grid connection, dark 
15:41:46 blue is already   grid 
collected.  Light blue is to 
15:41:51 be connected.  It   covers a 
lot of the map by area but not
15:41:55 as much by   population.  And 
then the pink and green are 
15:42:01 mini grid,   that's PV and 
hydroin green.  Impressive map
15:42:04 it it tells   us a lot.  I 
want to emphasize this is 
15:42:07 really one aspect   of this 
much larger program that 
15:42:12 allows individual
to   calculate these things on
15:42:16 their own and run customized  
scenarios.  To answer my 
15:42:18 question, how much will it 
cost   using our default 
15:42:24 scenario, we will estimate it 
will cost   191 billion 
15:42:27 $191 billion.  71% of that 
will be used in the grid with 
15:42:33 8% in mini grid and 20% in 
stand alone which totalled   
15:42:39 99%.  And then the people 
connected will be a billion   
15:42:45 people in the grid, 375 
million on stand alone systems
15:42:49 .    However, I really want to
emphasize about this 191   
15:42:52 billion.  This is using our 
default scenario.  I think it 
15:42:55 is probably the most likely 
scenario but it's not the   
15:43:01 only scenario.  We hav
a hundred scenarios per 
15:43:05 country.    We have 68 million
US dollars.  If we take the 
15:43:08 most   expensive scenario and 
again, /T-RS not an 
15:43:11 inplausible   scenario.  It's 
reasonable this will be the 
15:43:16 plan we'll   take.  We have
$420 billion investment.  So 
15:43:19 what I want   to emphasize 
there is that the assumptions 
15:43:25 and data that   go into our 
modelling will lead
15:43:28 to a $300 billion   difference
in cost.  I argue this, I 
15:43:33 emphasize this   because I 
think -- our unit is currently
15:43:36 fund raising to   do some of 
this work and we're working to
15:43:40 get two or
$3 million.  This is a 300 
15:43:46 a $300 billion decision on 
open   data.  I want to stress
15:43:52 in the Geo spatial world.  The
Geo spatial world reopen on 
15:43:58 rely on open data.  I want to 
highlight   two repositories 
15:44:01 that we use quite extensively.
The   lights every night.  We'
15:44:05 We're working with AWS.  If 
you work   with the night 
15:44:09 light data, the images of the 
earth at   night.  We have now
15:44:14 every nightly image going bac
to   1992 on AWS.  The lights 
15:44:16 every nice REPOSITORY and we 
use   this to do this similar 
15:44:20 kind of electrification 
analysis.    And one of the 
15:44:23 things we analyzed with that 
is the high   resolution 
15:44:27 energy access.  Rather than 
just mapping who   has access 
15:44:29 to electricity, what is the 
quality of   electricity in 
15:44:32 those areas.  It is not enough
for a place   to be /HREBG /
15:44:36 TREU identified the the power 
grounds out   80% of the time,
15:44:40 that's not an electrified 
settlement.    All of these 
15:44:48 contribute.  Open source, 
quite strenuous
15:44:52 and if anybody is interested 
in learning more about these  
15:44:56 flat forms, I have included a 
bunch of /HR*EUPBs at the   
15:45:01 links   attend.  Feel free to 
reach out.  If there's any   
15:45:04 questions, I'm happy to answer
them at the end of the   
15:45:05 presentations.  Thanks.