Estimate and Stimulate Demand - Revision history

Abel Gaiya: Added a new tool to the "Existing Tools and Resources" table

2025-08-13T17:09:34Z

Added a new tool to the "Existing Tools and Resources" table

Abel Gaiya: Addition to two additional tools to the table.

2025-01-23T19:35:24Z

Addition to two additional tools to the table.

Sophia Schneider: /* Existing Tools and Resources */

2023-09-26T06:25:26Z

Existing Tools and Resources

Sophia Schneider at 14:44, 19 September 2023

2023-09-19T14:44:51Z

Sophia Schneider at 09:49, 19 September 2023

2023-09-19T09:49:13Z

Sophia Schneider at 09:37, 19 September 2023

2023-09-19T09:37:33Z

Sophia Schneider at 09:27, 19 September 2023

2023-09-19T09:27:03Z

Sophia Schneider at 09:25, 19 September 2023

2023-09-19T09:25:52Z

Hector Alfaro at 08:47, 13 September 2023

2023-09-13T08:47:07Z

Hector Alfaro: Hector Alfaro moved page Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand to Estimate and Stimulate Demand without leaving a redirect

2023-09-13T07:09:39Z

Hector Alfaro moved page Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand to Estimate and Stimulate Demand without leaving a redirect

@@ Line 123: / Line 123: @@
 |No
 |VIDA is an artificial intelligence (AI)-powered tool that utilizes satellite imagery, publicly available data, user data and energy modeling to automatically identify off-grid villages and extract insights to assess their suitability for off-grid electrification and de-risk investments. It is one of the most widely used tools among mini-grid developers and the Rural Electrification Agency in Nigeria.
 |}
 ==Case Study: Green Business Area, Mali==

@@ Line 113: / Line 113: @@
 |Yes
 |ENACCESS and First Electric created an open source GSM smart meter that meets IEC and key elements of the local regulations in Nigeria. The website includes hardware design, the web software as well as openly accessible firmware and directions, which are addressed to skilled personnal with software engineering knowledge. Smart meters are tracking the energy consumption of the customers and are therefore inevitable for developers.
 |}
 ==Case Study: Green Business Area, Mali==

@@ Line 58: / Line 58: @@
 |Yes
 |Yes
+|This qualitative study, conducted in rural and peri-urban Nigeria (North West, North Central, South South), aims to inform locally relevant electrification projects by gaining insights into energy needs and motivations, ensuring long-term success and sustainability.
 |-
 |'''[http://d-lab.mit.edu/research/past-research-projects-programs/energy-needs-assessment-toolkit MIT D-Lab Energy Assessment Toolkit (EAT)]'''

@@ Line 79: / Line 79: @@
 |Yes
 |The EAE is an interactive online platform that uses mapping to visualise the state of energy access in unserved and underserved areas. It analyses public data to make the connection between the demand and supply of energy so that users are able to identify and prioritise areas where energy markets can be expanded.
 |-
 |'''[https://rea.gov.ng/wp-content/uploads/2019/04/Fraym_Final_Report_for_NoMAP_Nov_2018-1.pdf Fraym report 2018 by REA]'''
 |Yes
 |Yes
-|The report provides an overview of different mini-grid and solar home system customer profiles to help practitioners estimate residential demand and willingness to pay. The data cover main lighting sources, generator ownership, electricity appliance household assets and the overall average household spending as well as on- and off-grid energy.
+|The report provides an overview of different mini-grid and solar home system customer profiles to help practitioners estimate residential demand and willingness to pay. The data cover main lighting sources, generator ownership, electricity appliance household assets and the overall average household spending as well as on- and off-grid energy. The report is based on the [https://nep.rea.gov.ng/market-intelligence/ NOMAP database].
 |-
 |[https://www.clasp.ngo/wp-content/uploads/2021/06/Efficiency-for-Access-Nigeria-Country-Profile-1.pdf Study '''“Off - and weak-grid solar appliance market Nigeria”''']

@@ Line 106: / Line 106: @@
 |ENACCESS and First Electric created an open source GSM smart meter that meets IEC and key elements of the local regulations in Nigeria. The website includes hardware design, the web software as well as openly accessible firmware and directions, which are addressed to skilled personnal with software engineering knowledge. Smart meters are tracking the energy consumption of the customers and are therefore inevitable for developers.
 |}
 ==Case Study: Green Business Area, Mali==
 This case study describes the Green Business Area, an approach to delivering solar off-grid electricity to local rural businesses while supporting their growth, developed by GERES. You can view and download the case study [[:File:Peoplesun Casestudy 3 GBA.pdf|here]].

@@ Line 98: / Line 98: @@
 |Yes
 |Yes
-|The platform aims to generate the most accurate data and latest tools to empower better electrification planning in Nigeria. Data and tools can be found for the three categories (i) Mini grids, (ii) Power sector and (iii) SHS and are continuously updated. For example, the SHS section includes the app “Rural Solar Home System market analysis” which enables practitioners to explore rural off-grid communities that may be economically viable locations of SHS companies.
+|The platform aims to generate the most accurate data and latest tools to empower better electrification planning in Nigeria. Data and tools can be found for the three categories (i) Mini grids, (ii) Power sector and (iii) SHS and are continuously updated. For example, the SHS section includes the app “Rural Solar Home System market analysis” which enables practitioners to explore rural off-grid communities that may be economically viable locations of SHS companies. The video introduces these 4 new apps on Nigeria SE4ALL Platform V 3.0.
 |-
 |[https://enaccess.org/materials/smartmeter/ Open Smart Meter]

@@ Line 69: / Line 69: @@
 |No
 |COMET is a role-playing software tool built around a representation of a mini-grid system, intended to be used as an educational and collaborative planning tool in designing a community-sized mini-grid system. The tool is designed to be used within a process that explores mini-grid planning and operational decisions. After the simulation, one can generate reports and analyse data on consumer demand and payments<ref>Energy Action Partners. (2021). Energy Action Partners | COMET. Enactpartners. <nowiki>https://www.enactpartners.org/comet</nowiki></ref>.
 |-
 |[https://www.giz.de/en/downloads/Sizing_handbook_150dpi_for_web.pdf GIZ Guide "What size shall it be?"]
@@ Line 76: / Line 74: @@
 |Yes
 |The guide to mini-grid sizing and demand forecasting supports in assessing the electricity demand of a community and determining the appropriate size of a new solar mini-grid. The handbook is applicable to various geographical contexts where mini-grids can be implemented. Practical knowledge has been drawn from the authors’ experience in mini-grid implementation in sub-Saharan Africa.
 |-
 |[https://www.energyaccessexplorer.org/ Energy Access Explorer (EAE)]
@@ Line 88: / Line 84: @@
 |Yes
 |The report provides an overview of different mini-grid and solar home system customer profiles to help practitioners estimate residential demand and willingness to pay. The data cover main lighting sources, generator ownership, electricity appliance household assets and the overall average household spending as well as on- and off-grid energy.
 |-
 |[https://www.clasp.ngo/wp-content/uploads/2021/06/Efficiency-for-Access-Nigeria-Country-Profile-1.pdf Study '''“Off - and weak-grid solar appliance market Nigeria”''']

@@ Line 35: / Line 35: @@
 ==== Efficient appliances are a relevant component in estimating demand ====
-An increased level of complexity in demand estimation is the fact that off-grid solar products often do better and last longer when associated with efficient appliances<ref name=":2">Efficiency for Access. (2021). Off- and weak-grid solar appliance market Nigeria.</ref>. This has important implications both for the demand estimates and the [[Nigeria Off-Grid Solar Knowledge Hub - Design Business Model|design of the business model]]. Developers should be aware of this uncertainty and integrate coping mechanisms in their business models. For example, the company [http://creedsenergy.com/en/ CREEDS Energy] raises awareness among its customers around energy efficient applications in order to increase the longevity and reliability of their SHS. Besides, the use of more efficient appliances can permanently reduce demand as less power is required for the same tasks<ref name=":0" />.
+An increased level of complexity in demand estimation is the fact that off-grid solar products often do better and last longer when associated with efficient appliances<ref name=":2">Efficiency for Access. (2021). Off- and weak-grid solar appliance market Nigeria.</ref>. This has important implications both for the demand estimates and the [[Design Business Model|design of the business model]]. Developers should be aware of this uncertainty and integrate coping mechanisms in their business models. For example, the company [http://creedsenergy.com/en/ CREEDS Energy] raises awareness among its customers around energy efficient applications in order to increase the longevity and reliability of their SHS. Besides, the use of more efficient appliances can permanently reduce demand as less power is required for the same tasks<ref name=":0" />.
 == Existing Tools and Resources ==
@@ Line 45: / Line 45: @@
 !Description
 |-
-|[[Nigeria Off-Grid Solar Knowledge Hub - PeopleSuN Survey Data|PeopleSuN Survey Data]]
+|[[PeopleSuN Survey Data|PeopleSuN Survey Data]]
 |Yes
 |Yes
 |The survey data within the PeopleSuN project comprise responses from 3,599 households and 1,122 enterprises. The survey included a set of questions specifically designed to ascertain the ownership of electrical appliances, as well as the timing of their usage during both the day and night. The dataset is publicly available on [https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GTNEJD PeopleSuN Harvard dataverse] for the open access of academic community, local stakeholders and international initiatives.
 |-
-|[[Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand - PeopleSuN Demand Modeling|PeopleSuN '''Demand Modeling''']]
+|[[PeopleSuN Demand Modeling|PeopleSuN '''Demand Modeling''']]
 |Yes
 |Yes
-|By utilizing the [[Nigeria Off-Grid Solar Knowledge Hub - Estimate and Stimulate Demand - Demand database - PeopleSuN Survey Data|PeopleSuN Survey Data]] from 3,599 households and 1,122 enterprises, the PeopleSuN project team generated demand profiles based on appliance ownership and usage hours. For this, RAMP, an open-source bottom-up stochastic model for generating multi-energy load profiles was used. The calculated demand profiles are divided into two main categories: households and enterprises.
+|By utilizing the [[PeopleSuN Survey Data|PeopleSuN Survey Data]] from 3,599 households and 1,122 enterprises, the PeopleSuN project team generated demand profiles based on appliance ownership and usage hours. For this, RAMP, an open-source bottom-up stochastic model for generating multi-energy load profiles was used. The calculated demand profiles are divided into two main categories: households and enterprises.
 |-
 |[[PeopleSuN Qualitative Data]]