PeopleSuN Survey Data

chevron_left Back to Estimate and Stimulate Demand Dimension

As part of the PeopleSuN project funded by the German Federal Ministry of Education and Research (BMBF) within the funding initiative ‘Client II - International Partnerships for Sustainable Innovations’, an extensive dataset was collected through household and enterprise energy surveys conducted in Nigeria in 2021. The surveys covered 225 enumeration areas in three Nigerian geopolitical zones, North West, North Central and South-South. The dataset includes a total of 3,599 households and 1,122 small and medium-sized enterprises. The sample was designed to be representative of rural and peri-urban grid-electrified regions in each zone. The dataset is publicly available on PeopleSuN Harvard dataverse for the open access of academic community, local stakeholders and international initiatives.

The surveys aimed to gather comprehensive data on various aspects, including demographic and socioeconomic characteristics, energy access, supply quality, ownership, and usage patterns of electrical appliances, cooking solutions, energy-related capabilities, and supply preferences [see figure 1].

Figure 1: PeopleSuN survey data sample design overview. Reproduced from Pelz et al 2023.

More information on the survey design and data collection can be found in Pelz et al 2023.

Demand Database Generated from PeopleSuN Survey Database

The demand database within the PeopleSuN project was constructed by utilizing survey 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.

To generate demand profiles based on appliance ownership and usage hours, the team employed RAMP, an open-source bottom-up stochastic model for generating multi-energy load profiles.

Calculated demand profiles are divided into two main categories: households and enterprises.

• For households, five distinct archetypical categories were modeled, employing an assigned “appliance index” value as a categorization basis. The appliance index takes into account the appliances used within households, together with their power consumption and duration of usage.
• For enterprises, a fundamental archetypical demand profile was calculated for each kind of enterprise. Additionally, there is an option to consider the demand profile when typical heavy loads associated with a specific industry are incorporated into an enterprise's profile.

The demand database constitutes an integral part of the PeopleSuN off-grid planner tool. For more detailed information regarding the calculations and methodologies used to construct this database, please refer to the method publication .