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Q

Team 3

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“Lighting Up Africa with Smarter Grids and Quantum Power”

Q

Team 3

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of the World’s Population do not have access to Electicity

8%

https://unsdg.un.org/latest/stories/decoding-africa%E2%80%99s-energy

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Are in Africa!

80%

https://unsdg.un.org/latest/stories/decoding-africa%E2%80%99s-energy

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Over 600 Million people in Sub-Saharan Africa live without Access to electricity!

More than Half of the Region’s Population!

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PROBLEM STATEMENT

Determining the optimal placement of microgrids to maximize energy delivery while minimizing installation costs and ensuring electricity access to underserved communities is

a Complex Combinatorial Challenge.

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PROBLEM

Minimise the cost of installation

Maximise Energy production

Maximise Population Coverage

No Electricity

Optimised Grid Installation

EXPENSIVE

$2 Million

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HOW WE SOLVE IT?

Optimised Grid Installation

Happy Client

More Energy , Less Cost

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Target SDGs

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Q

A smart, quantum-powered software platform that optimizes the placement of off-grid microgrids across rural Africa using Quantum Optimisation

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Our Solution Features

Find the most cost-effective microgrid placements under real-world constraints

Visualizes population coverage, and installation cost to support smart, location-aware decision-making

Instantly estimates energy output, cost, and people reached, helping stakeholders evaluate and compare electrification strategies

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Our Solution

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Minimize the total cost of installing microgrids

Maximizing the population served with electricity

COSTS (OBJECTIVES)

Technical Solution

    • Budget Constraint
    • Energy Demand Constraint

CONSTRAINTS

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Data Instance

Mathematical Modelling of the QUBO

QUBO Matrix

AutoQUBO Framework

Quantum Solver

Results

System Architecture

Max Budget

Number of Grids

Location

Needed Energy

Coverage

Max Energy

Grid installation

Max Coverage

Dwave-Qbsolv

Hybrid-Solver

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Mathematical QUBO modelling

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Mathematical QUBO modelling

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AutoQUBO Framework

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Data Instance (Features)

DataSet: Off-grid microgrid deployement in Ethiopia

Max Budget: 900,0000

Number of Grids: 10

Location: Ethiopia

Coverage: 15,000

Randomly generated dataset with 50 candidate sites

    • Installation cost (USD Dollar)
    • Population coverage
    • Solar potential (Kwh_m2/day )
    • Energy capacity (Kwh/day)
    • Spatial coordinates

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RESULTS & DISCUSSION

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RESULTS & DISCUSSION

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TECH STACK

Front-End

Back-End

Quantum Solution

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MARKET AND OPPORTUNITIES

BUSINESS PLAN

Features

Features

    • QUBO-based optimisation software
    • API interfaces
    • Budget and resource constraint modelling
    • SaaS subscriptions and Licensing fees
    • Grants

B2B

for microgrid operators and asset owners

Value Proposition

Revenue Stream

    • Infrastructure planning
    • Resource allocation
    • Faster feasibility and strategic planning

B2G

for governments and NGOs

    • QUBO-based optimisation software
    • API interfaces
    • Budget and resource constraint modelling

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89%

Constraint

Flexibility

Optimization

Method

Africa focus

Scenario

Similation

Comparative Analysis

Target

Users

Africa

scalable

Tanzania

Kenya

Partial

Nigeria

Quantum Optimisation

Rule based GIS

Classical Simiulation

Engineering Base

MARKET AND OPPORTUNITIES

Market Potential

USD 236.18 billion

USD 4.3 billion

Global Market

African Market

https://www.precedenceresearch.com/microgrid-market

$10,000 to $50,000 depending on Capacity

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OUR IMPACT

Business Sustainability & Scalability

Expands electricity access in remote and underserved communities

Lowers infrastructure costs while maximizing return on investment

Reduces dependence on fossil fuels and cuts carbon emissions

Supports strategic, data-driven decision-making for policymakers and developers

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FUTURE PLAN

3 months

6 months

1 Year

Build or employ quantum sensor to optimize grid placement

Use infinityQ for a better optimization

Monitoring grid health

and usage

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Join Us in the journey of Driving Economic Impact and improving lives by making Electricity accessible to all !

Q

Team 3