Short answer

Designers should consider the specific energy demands of various household services, particularly high-consumption ones like cooling and ventilation, when developing or recommending solar energy solutions for similar urban environments.

Field
Sustainability
Source
Journal of Digital Food Energy & Water Systems (2023)
Method
Quantitative research design utilizing structured questionnaires and demand modeling.
Sample
326 participants
Evidence
Strong effect

Understanding specific household energy service demands is crucial for accurately estimating the potential for residential solar photovoltaic (RSPV) adoption in rapidly urbanizing areas. This sustainability research insight is drawn from a 2023 study published in Journal of Digital Food Energy & Water Systems. Using Quantitative research design utilizing structured questionnaires and demand modeling. with 326 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should consider the specific energy demands of various household services, particularly high-consumption ones like cooling and ventilation, when developing or recommending solar energy solutions for similar urban environments.

Study
SustainabilityRecentStrong effect

Residential solar PV demand in Lagos is 24.43 kWh/household/day, indicating strong potential for renewable energy adoption.

Understanding specific household energy service demands is crucial for accurately estimating the potential for residential solar photovoltaic (RSPV) adoption in rapidly urbanizing areas.

Journal of Digital Food Energy & Water Systems · 2023

01

Key Findings

  • 01Energy intensity for refrigeration services: 1.06 kWh/hh/day
  • 02Energy intensity for space cooling services: 7.59 kWh/hh/day
  • 03Energy intensity for ventilation services: 9.05 kWh/hh/day
  • 04Total household energy services demand for electricity by potential RSPV adopters: 24.43 kWh/hh/day
  • 05Total demand from the solar module panel: 31.59 kWh/hh/day
02

Application

Design takeaway

Designers should consider the specific energy demands of various household services, particularly high-consumption ones like cooling and ventilation, when developing or recommending solar energy solutions for similar urban environments.

How to apply

When designing solar energy systems for residential use in urban areas with similar climate and appliance profiles, use the identified energy intensities to estimate system size and potential energy generation needs.

Project actions

  • 01When researching user needs, break down energy consumption into specific appliance categories.
  • 02Consider the environmental context (climate, urbanization) when estimating energy demands.
03

Method & Evidence

AimTo evaluate the prospective energy services demand for residential solar photovoltaic (RSPV) generated electricity among potential adopters in Lagos State, Nigeria.
MethodQuantitative research design utilizing structured questionnaires and demand modeling.
ProcedureStructured questionnaires were distributed to potential adopters of RSPV technology in Lagos State. The collected data was analyzed using the Model for Analysis of Demand for Energy (MADE II) and a Pareto tool to determine energy intensity for various household services and overall electricity demand.
Sample326 participants
ContextResidential energy services demand in an urbanizing African context.

Variables

IV["Type of household energy service (refrigeration, cooling, ventilation, etc.)"]
DV["Energy intensity (kWh/hh/day) for each service","Total household energy services demand (kWh/hh/day)"]
CV["Location (Lagos State, Nigeria)","Type of technology (Residential Solar Photovoltaic)","Participant type (potential adopters)"]
04

Strengths & Limitations

Strengths

  • +Utilizes a quantitative research design and established modeling tools (MADE II).
  • +Focuses on a specific, relevant context of rapid urbanization and energy deficit.

Limitations

The accuracy of the results depends on the honesty and accuracy of the survey responses. Generalizing these findings to other regions requires careful consideration of local factors.

Reliability & validity

Reliability would depend on consistent questionnaire administration and data entry. Validity is supported by the use of a recognized modeling tool (MADE II) and a focus on specific energy service demands.

Think critically

How might the adoption of more energy-efficient appliances impact the projected demand for residential solar PV and the overall feasibility of such systems?

05

Design Principles

"Quantify end-use energy demands to accurately size and optimize renewable energy systems for specific user contexts."

This research provides a data-driven understanding of energy consumption patterns within households, directly informing the design and implementation of renewable energy solutions. By quantifying demand for specific services like refrigeration, cooling, and lighting, designers can better size solar systems and develop integrated energy strategies that meet user needs while reducing reliance on fossil fuels.

06

What This Means for Your Design

This study shows that people in Lagos use a lot of electricity for things like air conditioning and fans. This means solar panels could be a good idea, but we need to know exactly how much electricity people use for each thing to design the right size of solar system.

How to use in your project

  • 1.Use the findings to justify the energy demand calculations for your design project.
  • 2.Cite the study to support the importance of understanding user energy consumption for renewable energy system design.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights the critical need to quantify specific household energy service demands when planning for renewable energy adoption. In Lagos State, Nigeria, a study found that potential residential solar PV adopters had an average electricity demand of 24.43 kWh/household/day, with significant contributions from space cooling and ventilation. This data is essential for accurately sizing solar systems and developing effective energy policies.

09

Source

Journal of Digital Food Energy & Water Systems

Evaluating Prospective Energy Services Demand for Residential Solar Photovoltaic (RSPV) Generated Electricity in Lagos State, Nigeria

journal · 2023

View source

Questions About This Research

What does the research say about residential solar pv demand in lagos is 24.43 kwh/household/day, indicating strong potential for renewable energy adoption?
Designers should consider the specific energy demands of various household services, particularly high-consumption ones like cooling and ventilation, when developing or recommending solar energy solutions for similar urban environments. Evidence: Journal of Digital Food Energy & Water Systems (2023).
Why does "Residential solar PV demand in Lagos is 24.43 kWh/household/day, indicating strong potential for renewable energy adoption." matter for design?
This research provides a data-driven understanding of energy consumption patterns within households, directly informing the design and implementation of renewable energy solutions. By quantifying demand for specific services like refrigeration, cooling, and lighting, designers can better size solar systems and develop integrated energy strategies that meet user needs while reducing reliance on fossil fuels.
How can designers apply this research?
Designers should consider the specific energy demands of various household services, particularly high-consumption ones like cooling and ventilation, when developing or recommending solar energy solutions for similar urban environments.
What were the main findings?
Energy intensity for refrigeration services: 1.06 kWh/hh/day. Energy intensity for space cooling services: 7.59 kWh/hh/day. Energy intensity for ventilation services: 9.05 kWh/hh/day. Total household energy services demand for electricity by potential RSPV adopters: 24.43 kWh/hh/day
What research method was used?
Quantitative research design utilizing structured questionnaires and demand modeling. with 326 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Journal of Digital Food Energy & Water Systems.
What should I do differently in my next project?
When designing solar energy systems for residential use in urban areas with similar climate and appliance profiles, use the identified energy intensities to estimate system size and potential energy generation needs.
What are the limitations?
The study focuses on potential adopters and may not fully represent actual usage patterns. The energy intensity figures are specific to the context of Lagos State and may vary in other regions.