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

Why It Matters

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.

Key Finding

The study found that potential adopters of residential solar PV in Lagos have a significant electricity demand, averaging 24.43 kWh per household per day, with space cooling and ventilation being major contributors. The total demand from solar panels is estimated at 31.59 kWh/hh/day, suggesting room for efficiency improvements.

Key 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
• Total demand from the solar module panel: 31.59 kWh/hh/day
• Prospect for improvement on energy intensity at the same output of energy services.

Research Evidence

Aim: To evaluate the prospective energy services demand for residential solar photovoltaic (RSPV) generated electricity among potential adopters in Lagos State, Nigeria.

Method: Quantitative research design utilizing structured questionnaires and demand modeling.

Procedure: Structured 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.

Sample Size: 326 participants

Context: Residential energy services demand in an urbanizing African context.

Design Principle

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

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.

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.

Student Guide (IB Design Technology)

Simple Explanation: 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.

Why This Matters: Understanding how much energy people use for different activities helps you design more effective and sustainable solutions, like solar power systems that actually meet their needs.

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

IA-Ready Paragraph: 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.

Project Tips

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

How to Use in IA

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

Examiner Tips

• Demonstrate an understanding of how specific energy demands influence the design of renewable energy systems.
• Discuss the potential for energy efficiency improvements alongside renewable energy adoption.

Independent Variable: ["Type of household energy service (refrigeration, cooling, ventilation, etc.)"]

Dependent Variable: ["Energy intensity (kWh/hh/day) for each service","Total household energy services demand (kWh/hh/day)"]

Controlled Variables: ["Location (Lagos State, Nigeria)","Type of technology (Residential Solar Photovoltaic)","Participant type (potential adopters)"]

Strengths

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

Critical Questions

• To what extent do the findings reflect actual energy consumption patterns versus perceived needs?
• What are the socio-economic factors that might influence the adoption of RSPV technology beyond energy demand?

Extended Essay Application

• Investigate the energy consumption patterns of specific household appliances in a different geographical or socio-economic context.
• Model the impact of energy efficiency interventions on the demand for renewable energy sources.

Source

Evaluating Prospective Energy Services Demand for Residential Solar Photovoltaic (RSPV) Generated Electricity in Lagos State, Nigeria · Journal of Digital Food Energy & Water Systems · 2023 · 10.36615/digital_food_energy_water_systems.v4i2.2889