Production-Depth Volume I · Engineering · Concept Stage

Physics & Systems

The deep verticals behind the render.

AETHER Engineering Volume — reactor, thermal, transit, structure, life support
A Chevza concept · Companion to the Whitepaper
Version 1.0 · 22 June 2026 · All figures concept-stage

Jump to thermodynamics ↓ Back to whitepaper

Vol. I · 01 — Design Basis

The reference frame everything is sized against.

A whitepaper proves a concept closes. An engineering volume proves it survives contact with physics. This document fixes the design basis — the assumptions, loads, and budgets — that every later spreadsheet and set design inherits.

The reference city is a single AETHER node sized for a resident-plus-worker population on the order of P ≈ 250,000, descending to a representative mid-strata depth of ≈ 300 m across nine load-bearing rings. All numbers below are order-of-magnitude design targets, not as-built guarantees.

Design basis quantities

Reference population P
≈ 250,000
Strata / depth
9 rings · ~300 m
Reactor electrical Pe
300 MWe
Thermal efficiency η
0.33
Interior set-point
21 ± 1 °C
Design horizon
1,000 yr (100-yr major refit)
Seismic basis
site-specific; deep = attenuated
Air quality target
CO₂ < 800 ppm occupied
Standing disclaimer

Every equation here is dimensionally correct and uses representative constants, but the inputs are illustrative. Treat outputs as sizing sanity-checks, not certified engineering. Production work requires site geotechnics, licensed nuclear design, and code-compliant structural analysis.

Vol. I · 02 — Reactor & Thermodynamics

An exergy budget, not just an energy budget.

The reactor's value to AETHER is not only its electricity but the quality (exergy) of its heat. We track energy and exergy separately because the reuse cascade depends on temperature grade.

Gross balance

(I.1)
Qth = Pe/η = 300/0.33 ≈ 909 MWth
Qwaste = Qth − Pe609 MWth
Carnot ceiling at hot/cold reservoirs TH, TC: ηmax = 1 − TC/TH. The 0.33 figure is conservative for an SMR steam cycle.

The reuse cascade

Waste heat is drawn down by temperature grade so each user receives the lowest grade it can use, maximising total reuse fraction φ:

  1. High grade (120–180 °C) → multi-effect desalination & process heat. Allocation ≈ 30% of Qwaste.
  2. Mid grade (60–90 °C) → agritech vapour-pressure-deficit control & absorption chilling. ≈ 20%.
  3. Low grade (30–45 °C) → district climate & domestic hot water. ≈ 10%.
  4. Residual → rejected to the rock shell (§3). With the above, φ ≈ 0.60 and Qreject ≈ 244 MW.
(I.2)
Quseful = φ·Qwaste ≈ 0.60 × 609 ≈ 365 MW
Each MW reused is a MW not purchased — the thermodynamic root of the export margin in Vol. II.

Exergy check

Exergy of a heat stream at temperature T relative to ambient T0 is B = Q·(1 − T0/T). Cascading by grade preserves exergy that a single low-grade dump would destroy — the reason the cascade beats a cooling tower by a wide margin.

Vol. I · 03 — Transient Heat Dissipation

The rock is a slow, enormous heat sink — but it does warm.

Rejecting ~244 MW into the surrounding rock indefinitely is only safe if the rock's temperature rise reaches a tolerable steady state. We treat the shell as radial conduction into a semi-infinite medium.

Steady conduction

(I.3)
q = −k·A·(dT/dx)  →  ΔT = Qreject·Rth
k ≈ 2.5 W/m·K, A = shell contact area, Rth = conductive resistance of the rejection annulus.

Transient time constant

The rock's thermal diffusivity α = k/(ρ·cp) governs how fast the heated zone spreads. The characteristic penetration depth after time t is:

(I.4)
δ(t) ≈ √(α·t)  ,  α = k/(ρ·cp)
ρ ≈ 2,500 kg/m³, cp ≈ 800 J/kg·K → α ≈ 1.25×10⁻⁶ m²/s. Over 30 yr, δ ≈ √(1.25e-6 × 9.46e8) ≈ 34 m of rock engaged.

Because the engaged rock volume grows with √t, the effective thermal resistance rises slowly and the interface temperature trends toward a bounded asymptote rather than running away. Design rule: the rejection annulus must be sized so the worst-case interface stays below the structural temperature limit of the lining over the 100-year refit window; active borehole heat exchangers provide margin.

Why √t matters

If heat penetration grew linearly, the rock would saturate and the city would cook. The diffusion √t law is the physical reason a buried reactor-city is thermally sustainable at all — and why the rejection-annulus geometry is a first-order design parameter, not an afterthought.

Vol. I · 04 — Atmosphere & Life Support

An occupied volume that breathes.

Unlike a surface city, AETHER must actively manage its atmosphere. The governing constraint is CO₂ removal at the occupied set-point.

(I.5)
fresh = (P · ṁCO₂) / (Climit − Cin)
CO₂ ≈ 1.0 kg/person/day metabolic; Climit = 800 ppm, Cin = 420 ppm intake. Drives surface intake shaft sizing.

Ventilation is hybrid: fresh-air shafts to the surface cap for baseline, plus closed-loop scrubbing (molecular sieve / amine, reusing low-grade reactor heat for regeneration) for resilience and surge. Air changes target ≥ 6 ACH in occupied strata; agritech vaults double as biological CO₂ sinks and O₂ sources, partially closing the loop.

Metabolic CO₂ load (P=250k)
≈ 250 t/day
Occupied CO₂ target
< 800 ppm
Air changes (occupied)
≥ 6 ACH
Scrubber regeneration
low-grade reactor heat
Biological offset
agritech vaults (L7)

Vol. I · 05 — Water & Desalination

High-grade heat closes the water loop.

The 30% of waste heat allocated to high-grade use drives multi-effect distillation (MED). Thermal desalination yield scales with the gain-output ratio (GOR) of the plant:

(I.6)
water = GOR · QHG / hfg
QHG ≈ 0.30 × 609 ≈ 183 MW; hfg ≈ 2.26 MJ/kg; GOR ≈ 8 (MED) → ṁwater ≈ 8 × 183e6 / 2.26e6 ≈ 648 kg/s ≈ 56,000 m³/day.

That covers municipal demand at ~220 L/person/day for P=250k (≈ 55,000 m³/day) with the agritech recycling greywater. Brine is managed via deep reinjection or mineral recovery (a secondary export). Potable polishing is by remineralisation + UV.

Vol. I · 06 — Maglev Dynamics

Levitation, propulsion, and the power it costs.

Pods use electrodynamic suspension (EDS) along a passive guideway with a linear synchronous motor (LSM) for propulsion. Levitation force per unit area scales with the square of field strength:

(I.7)
Flev/A = B²/(2μ₀)
B = guideway flux density, μ₀ = 4π×10⁻⁷. Suspension is stable above the transition speed; wheels handle low-speed/standstill.

Propulsion & energy per trip

At cruise the pod overcomes mainly aerodynamic and magnetic drag (rolling resistance ≈ 0 when levitated). Tractive power and per-trip energy:

(I.8)
Ptrac = Fdrag·v  ,  Fdrag = ½ρairCdA v² + Fmag
Etrip = ∫ Ptrac dt − Eregen
Regenerative braking returns energy to the LSM. In sealed low-pressure transit tubes, ρair can be reduced to cut Cd losses dramatically.

Running the main spine inside a partially evacuated tube (a metro-scale hyperloop) is optional but collapses aero drag, raising practical cruise speed and slashing Etrip — a lever the energy model in Vol. II can toggle.

Vol. I · 07 — Network & Routing

Autonomous flow as a control problem.

The guideway is a directed graph G=(V,E). Demand is a time-varying origin–destination matrix. The controller solves a receding-horizon optimisation each tick, assigning pods to paths to minimise total weighted cost while honouring headway and capacity (Eq. 5.1 in the whitepaper).

Throughput & stability

(I.9)
Clane = v / smin  ,  smin = v·treact + v²/(2abrake) + Lpod
v=30 m/s, treact=0.2 s (machine), abrake=4 m/s², Lpod=8 m → smin ≈ 0.2·30 + 900/8 + 8 ≈ 126 m → C ≈ 860 pods/h/lane at this conservative braking margin; tighter platooning multiplies this.

Vector-field guidance (Eq. 5.2) gives decentralised collision avoidance as a fallback if the central optimiser degrades — a graceful-degradation property required for a life-critical transit spine. Network capacity = Σ lanes × occupancy; freight rides the same graph at off-peak cost.

Vol. I · 08 — Geotechnical & Structural

Thick-walled cylinders, convergence, and seismic comfort.

Overburden at depth h sets the primary load (whitepaper Eq. 6.1): σv = ρrock·g·h ≈ 7.4 MPa at 300 m. The lining is analysed as a thick-walled cylinder (Lamé) rather than a thin ring for the larger caverns.

(I.10)
σθ(r) = pi·(a²/(b²−a²))·(1+b²/r²) − po·(b²/(b²−a²))·(1+a²/r²)
a, b = inner/outer lining radii; pi, po = internal/external pressures. Peak hoop stress at r=a governs lining thickness.

Ground–support interaction

Competent rock carries much of the load via arching; the convergence–confinement method sizes support against the ground reaction curve. Where rock quality (RMR/Q) is high, lining demand drops sharply — siting on competent host rock is a first-order capex lever (Vol. II §siting).

Seismic

Deep, embedded structures experience attenuated ground motion versus the free surface (no resonance amplification, motion moves with the rock). The design controls for fault crossing and shaft connections, not for surface-style sway. Per-ring isolation joints localise damage.

σv @ 300 m
≈ 7.4 MPa
Analysis
Lamé + convergence–confinement
Rock quality target
high RMR/Q host
Seismic
attenuated; fault-crossing controlled

Vol. I · 09 — Daylight & Circadian

Real sunlight, piped 300 m down.

Surface heliostats/concentrators couple sunlight into large-core fibre or mirrored light-guides. Delivered illuminance at a terrace falls with collector area, optical efficiency, and guide losses:

(I.11)
Ev = (Esun·Acoll·ηopt·τguide) / Afloor
Esun ≈ 100,000 lx (direct); ηopt, τguide = collector + guide transmittance. Sized to deliver ≥ 300–500 lx daytime equivalent + tuned spectrum for circadian entrainment.

Where piping daylight is impractical, circadian LED lighting reproduces the daily colour-temperature curve. The combination preserves the diurnal cues that underground habitation otherwise destroys — a habitability requirement, not a luxury.

Vol. I · 10 — Power & Redundancy

One reactor is a single point of failure — so it isn't the only thing.

Baseload is the SMR, but the grid is engineered N+1: battery/flywheel storage for ride-through, an islanding controller, and a surface grid-tie that runs both ways (import on outage, export surplus for revenue — Vol. II §revenue). Critical life-support and transit buses have independent backup.

  • Ride-through: storage covers the reactor trip-to-backup gap; life support never loses power.
  • Islanding: the city can disconnect from the surface grid and run autonomously.
  • Bidirectional tie: surplus baseload is sold; deficits are covered — the tie is a financial hedge, not just a safety net.
  • Refuel/refit: SMR modular design enables maintenance without full city shutdown.

Vol. I · 11 — Construction Sequence

Bored, not built — and timed by TBM throughput.

Schedule is gated by tunnel-boring-machine advance rate and shaft logistics. Rough excavation time for a ring scales with bored volume over effective advance:

(I.12)
tring ≈ Lring / (vTBM·u)
vTBM ≈ 10–15 m/day sustained; u = utilisation (≈ 0.4 incl. maintenance, muck-out). Parallel TBMs compress the critical path.

Sequence: (1) surface cap + main shaft, (2) reactor cavern + first strata in parallel, (3) downward strata expansion funded by token pre-sales as completed rings come online, (4) maglev spine commissioning. The phased fill is what lets revenue (Vol. II) begin before the city is complete.

Vol. I · 12 — Engineering Risk Register

The honest list of what could break.

RiskSeverityMitigation
Rock thermal saturationHigh√t diffusion (§3); sized rejection annulus + borehole exchangers
Reactor licensing / public acceptanceHighProven SMR design; depth as inherent containment; transparency
Tunnel convergence / squeezing groundHighSite on competent rock; convergence–confinement design; monitoring
Life-support failureCriticalN+1 ventilation, closed-loop scrubbing, biological offset, storage
Water/brine managementMediumMED + reinjection/mineral recovery
Transit single-spine dependenceMediumRedundant lanes; decentralised vector-field fallback
Construction schedule slipMediumParallel TBMs; token-funded phased fill decouples revenue from completion
Table I.1 — Top engineering risks and first-line mitigations.

Each row above is a candidate for its own production sub-volume. The point of this register is intellectual honesty: AETHER's hardest problems are thermal saturation, nuclear licensing, and squeezing ground — and each has a credible, physics-grounded mitigation.