Difference between revisions of "PeopleSuN Survey Data"

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{{Backlink Dimension Demand}}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.
  
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Within PeopleSuN, WP 2 provides quantitative survey data from 225 electrified non-urban villages across three Nigerian geopolitical zones as well as qualitative survey data from 8 electrified non-urban villages. Household and enterprise surveys were conducted.
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To generate demand profiles based on appliance ownership and usage hours, the team employed RAMP<ref>https://rampdemand.org/</ref>, an open-source bottom-up stochastic model for generating multi-energy load profiles.
  
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The goals of the household survey are to
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Calculated demand profiles are divided into two main categories: households and enterprises.
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#Determining electricity consumption and expenditure and how it relates to electricity supply, and to
 
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#Testing household preferences for appliances, electricity hour capacity, source and billing methods.
 
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The goals of the enterprise surveys are to
 
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#Defining typical enterprise types across non-urban Nigeria and develop improved estimates on their electricity needs, linking this with wealth and other factors, and to
 
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#Testing enterprise preferences for appliances, electricity hours, capacity, source and billing methods.
 
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The goals of the qualitative surveys are to
 
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#Understanding which electric appliances are perceived as necessary for household wellbeing
 
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#Understanding the socio-cultural values and norms related to use of electric appliances
 
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#Understanding differences and similarities in values and preferences across population sub-groups (e.g. by gender)
 
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The dataset includes answers from 3,599 households and 1,122 enterprises. It is freely available on Harvard Dataverse for all with attribution “RLI-PeopleSuN Energy Audits (RLI-PSN): Household and enterprise energy supply, use and preference data from rural Nigeria”.
 
  
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* 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.
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* 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.
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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 [citation needed].
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Revision as of 09:35, 1 June 2023

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[1], 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 [citation needed].

  1. ↑ https://rampdemand.org/
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