Skip to content

jegly/open-invention

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 

Repository files navigation

⚡ SolarRoad

"What if every road was a power station, every building a solar panel, and every car ran on the city itself?"

SolarRoad is an open invention proposal for a fully integrated, self-powered road and urban energy ecosystem. Inspired by the simplicity of Scalextric — toy cars powered by an electric circuit track — this project proposes applying that same principle at civilisation scale: roads that power the vehicles travelling on them, harvest solar and thermal energy, guide autonomous transport, and eliminate fossil fuel dependency entirely.

No petrol. No emissions. No traffic jams. No road deaths.


SolarRoad — autonomous vehicles on solar roads with inductive charging


The Core Idea

A child's Scalextric set is a perfect proof of concept. The car needs no engine, no fuel tank, no exhaust — it draws power continuously from the track it runs on. Scale that principle to real roads, combine it with solar collection, superconducting transmission, AI traffic management, and next-generation energy storage, and you have a civilisation-level energy and transport solution that eliminates petrol from the equation entirely.

Every road surface becomes a solar collector. Every building window becomes a power generator. Every vehicle draws power from the road itself. Underground superconducting cables carry that energy with near-zero loss. AI manages the entire network in real time.

This is not science fiction. Every component technology exists today. The innovation is in integration, materials engineering, and the will to deploy.

Inductive charging — the Scalextric principle at road scale


The Case for Acting Now

Petrol is finite. That fact alone makes this transition inevitable — the only question is whether we do it proactively or wait until we are forced to. The long-term benefits to the planet, to human health, and to future generations vastly outweigh the initial investment cost. The rollout would be gradual — exactly as 4G was replaced by 5G, as gas lighting gave way to electric — road by road, city by city, country by country.

The initial cost is real. So is the cost of doing nothing.

Transport accounts for 24% of global CO₂ emissions — approximately 8 billion tonnes per year. Australia alone produces ~100 million tonnes of transport CO₂ annually. Globally, 1.35 million people die on roads every year and a further 50 million are injured — nearly all preventable with AI-managed autonomous systems.

Continuing to build petrol infrastructure is not pragmatism. It is short-term thinking at civilisational scale.


The Sydney Calculation

SolarRoad deployed across Sydney — AI-managed autonomous vehicles at sunset

To illustrate the energy potential, consider Sydney as a case study.

Road surface area: Sydney's metropolitan road network covers approximately 12,000 km of roads. At an average width of 10 metres, that is 120 km² of surface — all of it currently absorbing sunlight and radiating it back as waste heat.

With transparent solar substrate and Sydney's average of 5.5 peak sun hours per day:

Source Daily generation Annual generation
Solar road substrate (conservative, 10% efficiency) 66,000 MWh 24,090 GWh
Solar road substrate (optimistic, 20% efficiency) 132,000 MWh 48,180 GWh
Solar building glass (50,000 buildings, 8% efficiency) 11,000 MWh 4,015 GWh
Thermal harvesting — TEG road modules (5% efficiency) 26,400 MWh 9,636 GWh
Total (conservative) 103,400 MWh 37,741 GWh
Total (optimistic) 169,400 MWh 61,831 GWh

SolarRoad city overview — Sydney deployment model

Sydney's total annual electricity consumption is approximately 45,000 GWh.

At conservative technology levels, the SolarRoad system covers ~84% of Sydney's entire electricity demand — roads and buildings alone, before any other renewable input. At near-future efficiency targets, the system becomes a net energy exporter at 137% of consumption — powering homes, industry, and feeding surplus back to the wider grid.

The road network stops being infrastructure that costs public money. It becomes infrastructure that generates it.

Sydney CBD — solar PV glass facades on every skyscraper, energy flowing to the road grid


SolarRoad system blueprint — full five layer overview

System Architecture — Five Layers

SolarRoad 5-layer architecture — exploded view

☀️ Layer 1 — Solar Collection

Transparent solar road substrate The road surface is replaced with a load-bearing transparent resin composite embedded with photovoltaic cells. Vehicles drive on it normally; sunlight passes through and is converted to electricity below. Engineered for high compressive strength, maximum solar transmittance, thermal stability, and self-cleaning surface properties.

Solar building glass (metropolitan deployment) In cities, conventional windows are replaced with transparent photovoltaic panels. Buildings retain full visual transparency while every window generates electricity. Combined with thermal conversion of solar heat absorbed by building facades, the entire built environment becomes a distributed power station. In a city like Sydney, where towers receive direct sunlight across enormous glass facades, the energy yield is substantial — see the Sydney Calculation above.

Relay energy stations Distributed battery hubs along road networks act as local storage and distribution nodes. They buffer energy between collection and demand, ensure no single point of failure, and handle the variable nature of solar input. Built with solid-state graphene batteries or next-generation nuclear batteries for maximum energy density and minimal self-discharge. Relay stations also serve as redundancy nodes — if any section fails, adjacent stations cover demand automatically.


🛣️ Layer 2 — The Active Road Bed

Surface: transparent solar resin composite The visible driving surface. Transparent enough to pass usable light to the PV layer below, tough enough to handle heavy vehicle loads, textured for grip. Replaces conventional tarmac. See Section 1 for material science detail.

Inductive power track Continuous inductive coils deliver wireless power to vehicles in motion — the Scalextric principle at civilisation scale. Vehicles draw energy continuously while driving. Onboard batteries become emergency backup, not the primary power source. A vehicle never needs to stop to charge. Existing EVs can be retrofitted with receiver coils. Conventional petrol vehicles remain fully functional throughout the transition.

Maglev rail channels For high-speed lanes, magnetic levitation rails embedded in the road bed lift equipped vehicles fractionally from the surface, eliminating tyre-road friction. Higher safe speeds, dramatically reduced tyre wear, lower rolling resistance, improved energy efficiency.

Thermoelectric generator (TEG) modules Road surfaces absorb enormous solar heat. TEG modules convert the temperature differential between hot surface and cooler substrate directly into electricity — energy that would otherwise be radiated as waste heat.

Road de-icing In cold climates, resistive heating elements in the road surface — powered by stored solar energy — keep the surface above freezing. Roads that de-ice themselves. No salt, no grit, no black ice, no weather-related closures.

2c — Dynamic Propulsion Matrix

Inductive power transfer gives a vehicle energy. Maglev gives it freedom from friction. But neither gives the road direct control over the vehicle's motion.

Dynamic Propulsion Matrix adds a third capability: the road itself becomes a programmable linear motor, capable of pushing or pulling any equipped vehicle without mechanical contact.

How It Works

The roadbed contains a continuous array of embedded electromagnetic coils — a programmable stator running the length of every lane. Vehicles carry a controllable, gyro-stabilised magnet rotor mounted on the underside.

By switching the polarity of road coils ahead of or behind a vehicle, the AI exerts precise push (acceleration) or pull (braking/repulsion) forces directly on the rotor. The gyro stabilisation ensures the rotor maintains correct orientation regardless of vehicle pitch, roll, or road camber.

Mode Polarity sequence Effect
Acceleration Coils ahead pull rotor forward Propels vehicle without using its own motor
Braking Coils ahead push rotor backward Decelerates vehicle, recovers energy
Hold/Spacing Alternating push-pull Maintains millimetre-accurate following distance
Emergency stop Full reverse field Physically halts vehicle faster than friction brakes

Dynamic Propulsion Matrix Integration Diagram

Why This Matters

The original blueprint assumes vehicles are responsible for their own motion, with the road only providing energy and guidance. That works — but it leaves a gap. Human reaction time, varying brake performance, and tyre-road friction limits still create risk.

Dynamic Propulsion Matrix closes that gap. The AI doesn't just suggest a speed or route around congestion. It enforces motion directly at the physical layer.

Key benefits:

  • Tyre-less acceleration and braking — vehicle tyres become passive rollers. No skidding, no ABS hunting, no brake pad wear. Stopping distance is limited by human comfort, not friction coefficient.
  • Regenerative braking at grid scale — braking energy flows directly back into the superconducting backbone (Layer 4), not into a vehicle battery that may be full. Round-trip efficiency exceeds 90%.
  • Millimetre-accurate platooning — AI can space vehicles 0.5 metres apart at highway speeds. No human could react that fast. The road handles it continuously.
  • Emergency response override — when an ambulance approaches, the AI can gently push surrounding vehicles apart and hold them in a moving corridor. No horn, no erratic swerving.
  • Debris rejection — the gyro rotor is only energised when needed. When idle, it has no net magnetic field, so it doesn't attract ferrous road debris. A brief reverse-polarity pulse can actively eject anything that does stick.

🌊 Layer 3 — Road Gutter and Kerb Channel

The gutter becomes a multi-purpose infrastructure conduit running the full length of every road:

  • Fibre optic AI data network — real-time connectivity between vehicles, sensors, relay stations, and central AI
  • Rainwater harvesting — passive precipitation collection for urban water supply
  • Road sensor arrays — continuous monitoring of traffic, structural integrity, temperature, weather, and emergencies. Sensors serve dual purpose: primary monitoring and system redundancy
  • Utility conduit — power, communications, and thermal management in a single protected channel
  • Pedestrian and cyclist integration — pavement-side inductive charging strips for e-bikes, e-scooters, and mobility devices; pedestrian safety sensors at junctions

🔋 Layer 4 — Underground Superconducting Layer

Superconducting cables in vacuum chambers — zero energy loss underground

Superconducting power cables in vacuum chambers Conventional cables lose energy as heat through resistance. Superconducting cables at low temperatures have near-zero resistance — energy travels from collection to storage to end-use with minimal loss. Housed in insulated vacuum chambers 2–4 metres beneath the road, forming the zero-loss energy backbone of the network.

Direct energy storage nodes Underground storage at distributed intervals. Design principle: minimise conversion steps — each conversion loses energy. Solar electricity goes directly to electrical storage and is delivered back as electricity. Graphene supercapacitors for fast-response buffering. Solid-state batteries for day-scale storage.

SolarRoad energy flow — solar harvest, underground storage, bidirectional distribution


🤖 Layer 5 — AI Autonomous Vehicle System

AI central traffic management A city-wide AI system manages all vehicle routing in real time. Traffic flow becomes a mathematical optimisation problem — not chaotic emergent behaviour. Traffic lights become unnecessary. Congestion is eliminated by design. In major cities, the efficiency gain alone represents a significant reduction in wasted energy, time, and pollution from idling.

Emergency vehicle priority Ambulances, fire engines, and police receive absolute routing priority. A clear corridor opens ahead of an emergency vehicle in real time across the entire network. Response times improve. Lives are saved directly.

Zero road deaths Human error causes over 90% of road accidents. Remove human error through AI routing, maglev guidance, and vehicle-to-vehicle communication, and road deaths approach zero. Globally, 1.35 million lives per year. This may be the single most significant humanitarian impact of the entire system.

Autonomous and driver-assisted vehicles Fully autonomous on SolarRoad infrastructure, or driver-assisted with human override at all times. Vehicles can leave the circuit and travel on conventional roads normally. The system is opt-in by design throughout the transition.

Vehicle-to-grid energy balancing Parked vehicles feed surplus battery energy back into the road network and into homes. The entire vehicle fleet becomes a distributed storage grid — a geographically dispersed battery stabilising supply and demand around the clock.

Noise reduction Maglev guidance and smooth composite surfaces eliminate the majority of tyre-road and mechanical noise. Cities become significantly quieter.


Section 1 — Solar Substrate Material Science

The transparent road surface is the most novel and critical component. Everything else — maglev, inductive charging, AI routing, superconductors — exists in deployed forms today. The solar substrate is what makes this genuinely new.

The core trade-off Transparency and solar efficiency pull against each other. Current transparent PV achieves 1–10% efficiency at high transparency (>60% visible light transmission), versus 20–22% for conventional opaque panels. Closing that gap is the central challenge.

Road-specific requirements

Property Requirement
Compressive strength ≥ 10 MPa
Skid resistance (wet) Friction coefficient ≥ 0.45
Solar transmittance ≥ 40% to PV layer
Temperature range −40°C to +85°C without delamination
Service life ≥ 20 years under traffic loading
Surface hardness Vickers hardness ≥ 600 HV

Leading PV approaches

Perovskite solar cells — high efficiency potential, rapidly improving stability, manufacturable as thin films. Lab efficiency records now exceed 25%.

Organic photovoltaics (OPV) — flexible, lightweight, printable onto substrates. Lower efficiency but highly compatible with resin composite embedding.

Quantum dot PV — tuneable absorption spectrum, high efficiency potential at high transparency, early-stage but promising for the specific balance required.


Section 2 — Energy Storage: Technology Comparison

Design principle: minimise conversion steps, maximise round-trip efficiency, maximise energy density, maximise cycle life.

Graphene-based supercapacitors

Property Value
Round-trip efficiency ~95–98%
Energy density ~10–30 Wh/kg (rapidly improving)
Cycle life >1,000,000 cycles
Charge/discharge speed Seconds to minutes
Self-discharge Moderate (days to weeks)

Best for: short-term buffer storage at relay stations, vehicle-to-grid peak balancing, high-frequency charge/discharge applications.

Solid-state batteries

Property Value
Round-trip efficiency ~90–95%
Energy density ~400–500 Wh/kg (projected near-term)
Cycle life ~5,000–10,000 cycles
Charge/discharge speed Minutes to hours
Self-discharge Very low (months to years)

Best for: long-term strategic storage, relay stations requiring days of stored capacity, vehicle onboard batteries. No liquid electrolyte — no fire risk.

Nuclear batteries (betavoltaics)

Property Value
Output type Low, continuous, ultra-reliable
Service life 10–50 years depending on isotope
Self-discharge None

Best for: always-on sensor arrays, superconducting vacuum chamber maintenance, AI traffic node backup power.

Recommended hybrid architecture

Layer Technology Purpose
Relay stations — fast response Graphene supercapacitors Immediate demand buffering
Relay stations — day storage Solid-state batteries 24-hour supply coverage
Infrastructure nodes Nuclear batteries Always-on sensor and AI power
Grid-scale bulk storage SMES underground Large-scale balancing, zero loss
Vehicle onboard Solid-state batteries Range extension and V2G

Section 3 — Substrate Material Science: The Full Stack

SolarRoad substrate — exploded layer view

The substrate is where solar collection, thermal harvesting, structural strength, and electrical generation all have to coexist in a single tile. Getting the material stack right is the engineering heart of the entire system.

The Core Principle: Harvest the Same Sunlight Twice

Perovskite PV cells capture energy from visible light. Directly beneath them, thermoelectric generator (TEG) modules capture the heat that the PV cells themselves generate. Combined theoretical yield from a single surface: 20–28% — significantly better than either technology deployed alone.

The Full Substrate Stack

Layer Material Function
1 — Wear surface Alumina-reinforced polymer (8–12mm) Load-bearing, transparent, textured for grip
2 — PV layer Perovskite thin-film cells Visible light → electricity (15–20%)
3 — Encapsulant Transparent polymer resin Protects PV, passes IR heat downward
4 — TEG modules Bismuth telluride (Bi₂Te₃) Heat differential → electricity (5–8%)
5 — Heat spreader Graphene sheet Even heat distribution + electrical collection
6 — Insulator Aerogel composite Maintains TEG temperature differential
7 — Bond layer Flexible graphene adhesive Retrofit bond to existing tarmac

Combined Efficiency

Mechanism Source Efficiency
Perovskite PV Visible light 15–20%
Bismuth telluride TEG Road surface heat 5–8%
Combined system Solar + thermal 20–28%

Conventional tarmac: 0%

SolarRoad self heating — snow


Gradual Rollout

This is a generational infrastructure upgrade — the same category of change as electrifying railways, rolling out the internet, or the transition from analogue to digital. Each of those transitions seemed impossibly large before they happened and inevitable in retrospect.

Phase 1 — 100m test road segment. Solar composite surface, inductive charging, embedded sensors.

Phase 2 — 1km urban corridor. Full gutter conduit and underground superconducting backbone.

Phase 3 — Relay station network at 500m intervals. Day/night storage cycle validated.

Phase 4 — Autonomous vehicle integration. AI fleet management, maglev guidance, emergency priority routing.

Phase 5 — Metropolitan pilot. 500m city road plus one high-rise with solar PV glass.

Phase 6 onwards — City-by-city, road-by-road expansion. Existing EVs retrofitted. No forced obsolescence.


Impact Summary

Factor Current system SolarRoad
Road transport CO₂ (global) ~8 billion tonnes/year Zero
Road deaths (global) ~1,350,000/year Approaching zero
Road injuries (global) ~50,000,000/year Approaching zero
Grid transmission loss 8–15% average <1% (superconducting)
Road surface heat waste 100% wasted Harvested via TEG
Urban noise pollution Significant Dramatically reduced
City electricity (Sydney model) Grid-dependent 84–137% self-generated
Road maintenance Reactive, frequent Predictive, extended lifecycle

Technology Readiness

All component technologies exist. None requires new physics.

Component TRL (1–9) Primary challenge
Transparent PV road surface 3–4 Efficiency + durability under load
Inductive road charging (moving vehicles) 5–6 Standardisation + cost
Embedded maglev (road-scale) 4–5 Integration with road formats
Superconducting underground grid 6–7 Cooling infrastructure cost
Solid-state batteries 6–7 Manufacturing at scale
Graphene supercapacitors 5–6 Energy density improvement
Autonomous vehicle AI 7–8 Regulatory frameworks
Transparent PV building glass 5–6 Efficiency at high transparency

TRL = Technology Readiness Level. 9 = fully deployed commercial technology.


Licence

Released under Creative Commons Attribution 4.0 International (CC BY 4.0).

Share it, build on it, deploy it — credit the source.

Inventor

Jesse Li-Yates — independent inventor and futurist

"I have around 50 invention concepts covering global problems across energy, transport, medicine, food, climate, and human society. If even a fraction are built over the next 50 years, I believe they could accelerate human civilisation by 100–150 years and help save the planet."

github.com/jegly/open-invention — more inventions coming.


"The toy car on the track was always the prototype. The road was always the circuit."

About

The Scalextric principle applied to real roads — an open blueprint for solar-powered, self-charging, AI-managed road infrastructure that eliminates petrol, road deaths, and urban emissions.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors