Repository navigation
Domain ENE
Luke Nathan Hayes edited this page Oct 21, 2026
·
3 revisions
Start here · Questions · Progress · People decide
Make useful power available through the required conditions, with a measured energy budget and people ready to maintain it.
| Question | What we are working out | AI-generated potential answers and research | Work state |
|---|---|---|---|
| ENE-01 | How much power does every part use when starting, waiting, working and communicating, and how does that change through the day? |
AI-generated option: Start with a measured energy ledger for each device and operating state. Record startup peaks separately from daily watt-hours, including display brightness, radio transmission, cooling and conversion losses. Compare always-on rich service with an essential local service plus scheduled larger jobs. AI-generated future concept: Give each AI, XR and robotics job an estimated energy allowance and measured completion record. A local scheduler could offer a lower-energy route or defer work while reserving power for public information and request handling. Research examples: Finding new energy solutions for the town of Kalbarri · Cerbo GX manual: configuration |
open |
| ENE-02 | How much usable battery energy and reserve does each kiosk need for the agreed outage, including older batteries, hot or cold conditions and power-conversion losses? |
AI-generated option: Size storage from usable watt-hours and the agreed service schedule, then show reserve, ageing, temperature and conversion assumptions explicitly. Compare at least two battery sizes and a lower-power service mode. Treat a protective battery cut-off as the last boundary, with planned service reduction beforehand. AI-generated future concept: Explore independently protected storage for a modest notice and message relay, separate from intensive compute. A future module could display its measured remaining service allowance and preserve a dated notice if both supplies end. Research examples: Community hubs with energy backup systems · Lithium NG battery manual: operation |
open |
| ENE-03 | How much energy can the site collect and store during the chosen storm sequence, including shade, dirty or damaged panels, missed maintenance and days with no generation? |
AI-generated option: Use a time-based energy model with conservative storm sequences and measured site shading, then compare it with logged output. Include dirty panels, a damaged array, charging losses and several zero-generation days. Show both remaining service and the time needed to restore the reserve. AI-generated future concept: Develop a shared energy model that proposes charging windows across participating sites and movable storage. Future AI/SI could compare forecasts with battery observations and negotiate permitted transfers while local controllers enforce each site's reserve. Research examples: Finding new energy solutions for the town of Kalbarri · Cerbo GX manual: configuration |
open |
| ENE-04 | How should mains power, solar, batteries and low-voltage equipment be connected, protected and safely switched off at this site? |
AI-generated option: Ask the licensed electrical designer to define the complete supply boundary and its protection before selecting connections. Show mains, solar, storage, DC circuits and any generator changeover on one diagram, with labelled isolation and separate responsibilities for installation, inspection and authorised routine checks. AI-generated future concept: Develop a keyed, monitored low-voltage service port for reviewed compatible sources. A future controller would identify the source, enforce limits and log isolation; unknown equipment would require a new reviewed connection path. Research examples: Permanently connected generators |
open |
| ENE-05 | When should the kiosk change its power use, and how will it keep essential information available as battery charge and supply change? |
AI-generated option: Define normal, conserving, essential and protective-shutdown states with different entry and recovery thresholds. Keep core public information and request records on the essential budget; schedule rich displays, satellite sessions and larger AI jobs around available energy. Show the current state and its practical meaning. AI-generated future concept: Let an Aura offer alternative ways to finish a task: text locally now, audio next, or high-detail XR when energy returns. Public priorities would remain recorded and a simple local rule set would handle AI unavailability. Research examples: E Ink technology benefits · Cerbo GX manual: configuration |
open |
| ENE-06 | How will the kiosk start again after a flat battery, damaged stored data, repeated voltage drops or loss of a reliable clock? |
AI-generated option: Give the kiosk a recovery path that starts essential information first, checks stored records and then enables larger services. Preserve queued messages across repeated power interruptions, identify uncertain time clearly and compare a known-good recovery image with a replaceable preconfigured computer module. AI-generated future concept: Develop an independent low-power supervisor that compares expected startup stages with observed health. An Aura could explain the fault and propose the next permitted check while the supervisor controls a bounded restart policy. Research examples: Mallacoota Area Grid Storage community updates · Raspberry Pi EEPROM bootloader documentation |
open |
| ENE-07 | Which outside power sources could support the kiosk, who would connect them, and how will we confirm that the connection is ready when needed? |
AI-generated option: List external supplies as explicit offers with owners, usable capacity, connection method and activation evidence. Compare a precommissioned host backup circuit, compatible portable supply and planned charging rotation. Keep future microgrids or vehicle support as separate options until their equipment and authorised arrangements are demonstrated. AI-generated future concept: Explore participating building batteries and compatible vehicles as future sources through reviewed interfaces. A network coordinator could propose charging or supply rotations, with each custodian confirming availability and each site retaining its protected reserve. Research examples: Community hubs with energy backup systems · Permanently connected generators |
open |
| ENE-08 | What power-system checks and repairs can trained island staff carry out during ferry closure, and when will they call a qualified specialist? |
AI-generated option: Develop a local maintenance ladder with named primary and relief people: observe status, follow approved isolation, exchange permitted modules and escalate licensed work. Store illustrated instructions and compatible spares locally. Exercise the plan with ferry access closed and the usual technician absent. AI-generated future concept: Use a training twin for repeated isolation and replacement practice before touching equipment. Future robots could assist with approved lifting or inspection tasks; qualified people would confirm the task limits and return-to-service evidence. Research examples: Mallacoota Area Grid Storage community updates · Permanently connected generators |
open |
| ENE-09 | How will we test useful service through several days of storms and outages, including no generation, low reserve, a failed high-power computer and delayed repairs? |
AI-generated option: Prepare a 2–3-day practical test with people and equipment, using a traceable energy model to choose bench measurements and a bounded field exercise. Digital twin simulations can cover any chosen period, with simulated time and actual computer runtime recorded separately. Include zero generation, battery ageing allowances, lost cooling, delayed repair and failed high-power computing. Report delivered service, energy and temperature, keeping model results separate from measured performance. AI-generated future concept: Let AI/SI search the energy model for combinations that exhaust reserve early, then have people select meaningful physical tests. Future site twins could compare actual storms with those scenarios and suggest focused design improvements. Research examples: Mallacoota Area Grid Storage community updates · Cerbo GX manual: configuration |
open |
| ENE-10 | What checks, drawings and training records will accompany each power installation and later equipment change? |
AI-generated option: Create a commissioning passport tying each installation to its exact parts, firmware, wiring, settings and observed tests. Include usable reserve, qualified inspection, local training, maintenance ownership and exceptions. Every relevant equipment change should identify which checks need repeating and who decides the next operating scope. AI-generated future concept: Scan a replacement module to let an Aura prepare affected drawings, energy calculations and retest tasks. The records would preserve the old edition and require the responsible person's recorded release for the changed operating scope. Research examples: Community hubs with energy backup systems · Cerbo GX manual: configuration |
open |
Growing capability together · Planning and design underway · People decide · Repository
Aura Disaster Resilience
- Start here
- The whole system
- About and topic slugs
- First choices
- All-weather design
- Questions
- Progress
- Working together
- People decide
- Professional review
- AI assistant jobs
- Council integration
- Council plan crosswalk
- Guardian IMS and QIT Plus
- Ecosystem
- Agreed direction
- Evidence
- Source library
- AI research and prompt
- Research sources
- Useful words/glossary
- Rights and discovery
Work areas
- Everyday service and disaster work
- Weather-ready kiosks and places
- Energy and backup power
- Connections and messages
- Information people can trust
- Software and device care
- Personal Aura and learning
- Place models and practice exercises
- Community and operating responsibility
- Budget and continuing support
- Tests and field learning
- Project connections
- Working together and human review