UNDP Accelerator Labs Network Help us to showcase the value of grassroots innovation! We need easy to understand, yet powerful visualizations of the energy solutions we discovered that help us advocate for a more sustainable future. Be bold and creative. More at https://www.vizforsocialgood.com/join-a-project/2022/9/15/undp-accelerator-labs-network
View presentation at View presentation
-
India
has the highest number of solutions -
Panama
is the second best solutions provider -
Argentina
is the third best solutions provider -
Pacific
is the fourth best solutions provider -
Ecuador
is the fifth best solutions provider -
rb_africa
has the highest number of solutions -
rb_latin_america
is the second best solutions provider -
rb_asia_pacific
is the third best solutions provider -
The most produced
energy_source
isHousehold application
and this solution is more prevalent in the regional bureaurb_asia_pacific
, thenrb_africa
andrb_latin_america
. It can be relative to the proverty level, which is high in these locations. -
The second most produced
energy_source
isSolar
and more prevalent in the regional bureaurb_latin_america
thenrb_asia_pacific
,rb_africa
andrb_arab_states
. It can be relative to the poor developpement of other energy sources in the locations of the first three, and the desert with his high level of solar reception in the locations of therb_arab_states
. -
The third most produced
energy_source
isThermal
and more prevalent in the regional bureaurb_africa
,rb_latin_america
andrb_asia_pacific
. -
Overall energy sources, the more prevalent locations are
rb_africa
,rb_latin_america
andrb_asia_pacific
, certainly because of the development level which is low in these locations. That said, we understand why there are not so many solutions inrb_europe_cis
andrb_arab_states
. -
The most represented thematic is
Energy
(eitherclean energy
,solar energy
,renewable energy
,alternative energy
,affordable energy
,sustainable energy
) -
The second most represented thematic is
environment friendly
-
The third is
climate change
-
The most represented SDG is
Affordable and Clean Energy
-
The second is
Sustainable Cities and Communities
-
The third is
Industry, Innovation and Infrastructure
-
More
clean_cooking
solutions are produced inrb_asia_pacific
,rb_africa
andrb_latin_america
-
Many solutions are replicable elsewhere, and most of solutions are coming from
rb_africa
andrb_latin_america
. -
Many solutions have been already ordered, most from
rb_africa
. -
Most of the solutions are
open_source
representing about71.4%
overall. -
Most
open_source
solutions are fromrb_africa
andrb_latin_america
. -
Most of the solutions are
product
(ready to scale) representing about64.2%
overall. -
Most
product
solutions are fromrb_africa
,rb_asia_pacific
andrb_latin_america
. -
Many coutries have more
open_source
solutions thanintellectual_property
solutions, such asArgentina
,Guinea
,Cameroon
,Ethiopia
andSyria
. -
Many coutries have more
product
solutions (ready to scale) thanprototype
solutions, such asIndia
,Cameroon
,Pacific
,Panama
,Ecuador
,Burkina Faso
andEthiopia
. -
Many product solutions have a TRL of 9 : Actual system proven in operational. They are ready to be scaled.
-
Many prototype solutions have a TRL of 7 : System prototype demonstration in operational environment.
-
rb_latin_america
has moreprototype
open_source
solutions thanproduct
open_source
solutions. -
rb_asia_pacific
has moreprototype
open_source
solutions thanproduct
open_source
solutions. -
rb_africa
has moreproduct
open_source
solutions thanprototype
open_source
solutions. -
Countries with more
prototype
open_source
solutions thanproduct
open_source
solutions:Argentina
,Eswatini
. -
Countries with more
product
open_source
solutions thanprototype
open_source
solutions:Cameroon
,Ecuador
,Ethiopia
,Burkina Faso
,Pacific
andSyria
.
Among the 359 solutions, there are 59 solutions with exact production cost.
The bin range is $300.
It means that about 28 solutions need at most $300 for implementation or scalin
Thank you for paying attention to our team work. Please we need your review to improve ourselves.
- What do you notice about each visualization?
- What questions do you have about the data?
- What relationships do you notice?
- What do you think is the main takeaway from the report / presentation?
- Is there anything that you don’t understand from the plots?
Kindly reach us:
-
Jozias Tema
- LinkedIn : jozias-tema
- GitHub : jozias-tema
- Gmail : jozias-tema or temajozias@gmail.com
-
Yvvon Jemmy
- GitHub : YvvonJemmy
- Gmail : YvvonJemmy yvvonjemymahmajala@gmail.com
-
Angie Bil
- GitHub : AngieBil
- Gmail : AngieBil kbilhah@gmail.com