Small experiments. Clear controls. Illustrative models.
01 / Hydrogen
Each experiment: what it shows, what to try, what to learn.
WORLD 01 / MEGA CRUISE SHIP PAPER
Mega Cruise Ship Paper
I co-authored a hydrogen tri-generation study for an Oasis-class cruise ship. Our seven-day model met roughly 61 MW peak demand, using about 240 tonnes of hydrogen. Explore the architecture below—not a replay of the paper’s solver.
WHATMy cruise-ship study, from route to energy demand.TRYFollow the itinerary or edit the demands below.LEARNFuel, distance and storage share one dispatch clock.
HYDROGEN REMAINING312.000 tFull
CONSUMED THIS RUN0.000 t
SAILED THIS RUN0.00 NM
MODEL CLOCKDay 1 · 18:00
Under way → Palma de Mallorca
Starts at the assumed first departure, day 1 at 18:00. 312 t = the paper’s ≈240 t voyage + 30% reserve. Departure times and hotel profiles are illustrative; no boil-off model. Changing tank capacity takes effect on restart.
CRUISE SHIP / FIG. 1 + §2.2
Fuel. Power. Useful heat.
WHATMy cruise-ship tri-generation study.TRYSet demand and supply; watch the live flows.LEARNRed demand stops dispatch. Rebalance to resume.
READYLive inputs. Continuous dispatch.
Scroll the schematic sideways ↔
HydrogenElectricHeatCoolingExhaust gas
Original Figure 1 · Gil-Esmendia et al., JMSE (2026). · Open full image ↗
PROPULSION DELIVERED—
HEAT DELIVERED—
THERMAL CHARGE—
STORAGE DIRECTIONCHARGING
0:00 · 1× real time
1× wall clock. Red holds time and stores. Pause stops dispatch; Hold motion only stops graphics.
Adjust assumptions / read method
Figure 1 uses a combined exhaust line and calls the unit “H₂ boiler.” The text distinguishes moist cathode exhaust → EHX (§2.5) from residual anode hydrogen → catalytic burner (§2.7); this clarified view keeps those streams separate. Heat-recovery duties and burner heat serve thermal loads and buffer the 45 GJ store. Heat links represent energy, not a single shared air/water pipe.
Paper: 4 MW catalytic burner, 95% HHV efficiency; 45 GJ storage. This reduced model uses an HHV conservation ledger and LHV electrical efficiency. Exhaust/coolant heat split (35/65), fixed losses and 300 kWh buffer are documented assumptions. Full sources / limitations ↗
Method / limits
45 GJ assumed. Fitted loads; digitized curves. Steady-state plant; ideal storage endurance, not a validated storage transient.
I co-authored the FCV Vanguard demonstration paper: 217 nautical miles over nine months in 2024. We mapped component energy flows and measured an average powertrain efficiency of 35% HHV (41% LHV). Test the hybrid architecture below.
WHATMy hybrid harbor-craft research.TRYSet demand and supply; watch the live flows.LEARNRed demand stops dispatch. Rebalance to resume.
READYLive inputs. Continuous dispatch.
Scroll the schematic sideways ↔
HydrogenElectricHeatCooling
Original Figure 2 · Flores et al., International Journal of Hydrogen Energy (2026). · Open full image ↗
SHAFT POWER—
BATTERY CHARGE—
HYDROGEN RATE—
0:00 · 1× real time
1× wall clock. Red holds time and stores. Pause stops dispatch; Hold motion only stops graphics.
Adjust assumptions / read method
Architecture follows Figure 2 of the Vanguard paper, using the actual figure from your article copy. Paper values: 23 kWh battery, 9.7 kg / 700 bar H₂ storage, 250 kW propulsion, two modules; the text describes 85 kW automotive ratings and up to 100 kW per module with water cooling. Commands are independently editable; an enabled module has a 30 kW minimum, as described in the paper. This manual sandbox does not reproduce the vessel controller.
Assumed DC/DC efficiency 97%, 12 V converter 92%, high-voltage auxiliaries 3 kW, battery one-way efficiency 95%, SOC window 10–90%. Fuel-cell conversion efficiency is a user assumption, not a fitted performance map. Positive battery power assists; negative power charges. Tank depletion and storage limits constrain delivered shaft power. Run accelerates 30× for up to 15 model minutes. Reset restores 60% battery charge and 9.7 kg of fuel. No speed, range or telemetry claim.
One connected story: the fuel-cell layers, my ATLAS fabrication work, and the working cell.
03
01 / OPEN THE CELL
Every layer has a job.
WHATFuel-cell construction behind my electrode research.TRYSeparate the cell; select a named layer.LEARNATLAS deposits the catalyst that makes the reaction possible.
EDGE VIEW · COATINGS EXAGGERATED
PlateGDLCLPEMCLGDLPlate
CL = catalyst layer · PEM = membrane
Relative thicknesses are exaggerated to keep coatings visible; not dimensional CAD. Gaskets sit around the perimeter; microporous layers are grouped with the GDLs.
Platinum-on-carbon catalyst sites split hydrogen into protons and electrons.
TYPICAL TARGET · ONE ELECTRODE 0.30 mg Pt/cm²5 × 5 cm · 25 cm² · 7.5 mg Pt deposited.Also demonstrated: 0.60 mg Pt/cm² (15 mg Pt over 25 cm²).Adjustable loading—not limited to these examples.
WHATMy ATLAS capstone: controlled catalyst coating.TRYScroll through the pass; use Replay when shown.LEARNThe recipe sets loading; motion distributes the coating.
Pass4/4Loading0.30 mg Pt cm−2CV1.2 %
Illustrative 0.30 mg Pt/cm² recipe—not a loading limit or a measured spray run.
ATLAS · solidLiterature · dashed
WHATATLAS compared with a reference fuel-cell curve.TRYDrag current density; compare the two curves.LEARNVoltage changes with current; interpolation has limits.
i0.52 A cm−2ATLAS0.455 V
vs literature9.7 %
ATLAS-coated electrodeliterature electrode
Poster-derived, not raw measurements. Source graph ↗Poster samples
Approximate digitization.
Series
Current density / A cm⁻²
Voltage / V
ATLAS
0.01
0.800
ATLAS
0.02
0.750
ATLAS
0.05
0.700
ATLAS
0.10
0.650
ATLAS
0.20
0.600
ATLAS
0.30
0.555
ATLAS
0.40
0.505
ATLAS
0.52
0.455
Literature
0.02
0.800
Literature
0.06
0.700
Literature
0.16
0.650
Literature
0.26
0.600
Literature
0.40
0.550
Literature
0.53
0.500
Method / limits
Approximate poster samples, not raw data. Comparisons interpolate only within 0.02–0.52 A/cm². Shading is not uncertainty.
WHATThe electrochemistry that motivates my ATLAS work.TRYVary current density and membrane hydration.LEARNH⁺ crosses the membrane; electrons take the external circuit.
Hydrogen in. Electrons out. Water follows.
H₂ IN → Anode · left← O₂ IN Cathode · rightH₂O OUT → Cathode product
I have started boiling research with Professor Yoonjin Won.
04
BOILING / LIQUID CONTACT
Bubbles are not burnout.
WHATWater moving through a heated microchannel.TRYRaise heat input, or choose a preset.LEARNLosing the liquid film weakens cooling.
Liquid touching wallDry wall
Channel stateBoiling
Wetted wall100%
1 / WarmLiquid carries heat.
2 / BoilBubbles; wall still wet.
3 / DryoutLiquid film is lost.
Correlation-based illustration. Predicted CHF: 319 kW/m². Not a safe operating limit.
Model / sources
Same constant-property water case as the previous model: inlet 320 K, atmospheric saturation, 200 μm channel gap, 0.4 mm hydraulic diameter, 27.68 mm path and 99.7 kg/m²/s mass flux. Qu–Mudawar CHF and Davis–Anderson boiling incipience determine the displayed boundaries. Morphology is illustrative, not CFD. Qu–Mudawar source ↗
WORLD 05 / RENEWABLE PROFILES
Same sun. Different supply.
The candidate locations in my California green-ammonia study. Compare placeholder resource shapes until the measured profiles are ready.
05
SYNTHETIC PROFILES / REPLACE WITH STUDY DATA LATER
WHATWind and solar variability across my study locations.TRYChoose a location and scrub the day.LEARNRenewable timing changes the electricity available for hydrogen.
Mojave Desert
Solar
━ Solar┄ Wind━ Combined
Normalized to 1 MW total installed capacity. Mixed cases use equal installed solar/wind capacity—not the paper’s optimized mix. Values are synthetic, not forecasts or reported capacity factors.
Locations / assumptions
MOJ-PV: Mojave Desert; SAC-PV: Sacramento Valley; TEH-LW: Tehachapi Pass; ALT-LW: Altamont Pass; MEN-OW: offshore Mendocino; SC-MIX: Mojave + Tehachapi; NC-MIX: Sacramento + Altamont. Names follow my manuscript. Curves use deterministic seasonal/diurnal patterns with bounded wind fluctuations; no measured meteorological input, transmission losses, storage, economics or actual ammonia production is implied.
WORLD 06 / REACTOR
Into the blue.
Explore reactivity, particles and power.
06NUCLEAR REACTOR OPERATOR IN TRAINING
WHATReactor physics for my operator training.TRYMove reactivity; watch the population and power.LEARNA small reactivity change can change the whole response.
MODELED THERMAL POWER— kWth
HYPOTHETICAL ELECTRICITY— kWe
HOME-EQUIVALENT LOAD—
Thermal reference: 250 kW, not plant telemetry.
Hypothetical load-equivalent only. The UCI research reactor does not generate household electricity.
Power-equivalent assumptions
Educational equivalence only: the UCI research reactor does not supply household electricity. 250 kW thermal reference × model-relative power; 33% hypothetical conversion; 1 kW per home assumed. UCI reactor reference ↗
−$1.00
−50¢
0
+50¢
$1.00
PROMPT CRITICAL
Core neutron field
Orange fast neutrons slow in the moderator; cyan/green tracks show lower-energy neutrons. Select one to trace its descendants.
CONTROL RODS / ACTUAL MODEL STATE
Withdraw to add reactivity.
Insert to absorb more neutrons. The solid rods follow the rate-limited model; the outline marks your request.
Request 0¢Actual 0¢
Position is an illustrative mapping of reactivity, not calibrated rod worth or an operating instruction. A model trip drives the rods in.
fast > 100 keVepithermalthermal < 1 eVborn delayedtraced lineageClick any neutron to trace its descendants.
Six delayed-neutron precursor groups
These are radioactive fission-product populations, not water tanks. Higher fill means more precursors available to release delayed neutrons.
WHATA one-button omelette-maker prototype.TRYRun the sequence or step through each stage.LEARNAutomation coordinates ingredients, cooking and handling.
Sequence illustration—not validated cooking time, temperature, or food-safety guidance.
Model / sources
Images extracted from the user-provided OmeletteBot_Pitch_Deck REV 1(1).pptx, slides 3–4. The deck describes ingredient selection, one-button operation, cooking and serving. It lists both 60-second and 90-second times, so this page does not assert a verified cycle duration. No fundraising figures or private speaker notes are published.
WORLD 08 / RECORDS
Built beyond the lab.
Student-led interfaces, engineering representation, and public conversations about energy.
08
WEBREG HACKATHON / STUDENT-LED
WHATStudents solving the registration website’s UI/UX problems.TRYFollow ideas through student votes and judging.LEARNBetter interfaces start with the people using them.
≈21TEAMS
≈$15KRAISED
$6KPRIZES
40% student votes60% in-person judges
Finalist selection weighting. Organized by me and two UCI friends.
The judging panel
Judges included the UCI provost, engineering dean, vice provost for teaching and learning, a Siemens vice president, and others. Roles refer to the event, not current office-holders. Event figures are my account.