Academy · Level five
The person defines the overall task, makes decisions and owns the result. AI agents and the team support research, calculations, verification and knowledge retention. The person’s readiness is assessed separately.
Build the energy basis of life. Transform a working system. Carry a new idea through to an operating result.
01
The Arctic, Antarctica, the Himalayas, Putorana, the Moon and Mars. Energy, water, air, food, heat, light, communications, transport and production form one system.
Evidence: starting resources, commissioning, balances, autonomy, repair and capacity to grow.
02
Improve reliability and net economic performance of an operating asset. Include investment, operations, service quality, equipment life and risk.
Evidence: comparable before-and-after data, a reproducible effect calculation and personal contribution.
03
Connect energy with life, knowledge and organisation. Identify constraints, develop alternatives and assemble the people needed to deliver.
Evidence: a testable hypothesis, alternatives, an implemented solution and transfer of experience.
16 connected areas form the shared foundation. Depth depends on the mission, responsibility and demonstrated gaps. Open an area to see the knowledge, ability and evidence required.
Know. Units, orders of magnitude, calculus, dynamics, probability, optimisation, mass, energy and power balances.
Apply. Rebuild a calculation, detect missing flows and inconsistent units.
Demonstrate. An asset balance with assumptions, dimensional checks and sensitivity.
Prerequisites: None.
Know. First and second laws, entropy, exergy, cycles, heat transfer and open systems.
Apply. Identify conversion limits and account for matter crossing the boundary.
Demonstrate. A cycle calculation and useful-heat assessment across operating conditions.
Prerequisites: Б01.
Know. DC and AC circuits, three-phase systems, power, motors, transformers, cables and supply quality.
Apply. Read a single-line diagram and independently check loads and constraints.
Demonstrate. A supply diagram with loads, losses and unsafe assumptions.
Prerequisites: Б01.
Know. Fuel, nuclear, hydro, solar and wind generation; electrical, thermal and chemical storage.
Apply. Select a mix for the environment and explain the source of start-up energy.
Demonstrate. A comparison including stocks, delivery, maintenance and loss of a source.
Prerequisites: Б02 and Б03.
Know. Cycles, heat pumps, refrigerants, heat exchangers, pumps, fans, hydraulics and control.
Apply. Connect the useful service to whole-system demand and diagnose deviations.
Demonstrate. An operating map and a safe test protocol.
Prerequisites: Б02 and Б03.
Know. Water balance, treatment, ventilation, air quality, sanitation and waste.
Apply. Describe settlement needs and links between energy failures and vital services.
Demonstrate. A life-support design with consumables, dependencies and reserves.
Prerequisites: Б01 Б02 and Б05.
Know. Chemical energy, metabolism, photosynthesis, food production, nutrients and storage.
Apply. Balance a food chain and identify dependence on external resources.
Demonstrate. Compare supply with local production, including energy, water, waste and losses.
Prerequisites: Б01 Б02 and Б06.
Know. Illuminance, luminance, spectrum, glare, flicker, daylight, control and repair.
Apply. Define measurable environmental requirements and compare lighting changes.
Demonstrate. A service specification and a quality, operation and cost comparison.
Prerequisites: Б01 and Б03.
Know. Metrology, uncertainty, missing data, baselines, normalisation, causality and M&V.
Apply. Separate an intervention’s effect from weather, production and operating changes.
Demonstrate. Measurement plan, source data, effect calculation and uncertainty.
Prerequisites: Б01 and subject area.
Know. Feedback, stability, observability, forecasts, storage, constraints and recovery.
Apply. Assess flexibility with service limits and communication or sensor failures.
Demonstrate. A control model tested under adverse scenarios.
Prerequisites: Б03 Б05 and Б09.
Know. Protection, redundancy, common-cause failures, maintenance, repair, spares and recovery.
Apply. Find critical dependencies and justify repair, replacement and emergency operation.
Demonstrate. Failure analysis, recovery plan and lifecycle decision.
Prerequisites: Б03 and subject area.
Know. Compute and cooling demand, data, models, industrial networks, access rights and backups.
Apply. Independently check AI output and define automation limits and fallback operation.
Demonstrate. A reproducible calculation, data provenance and automation-failure scenario.
Prerequisites: Б01 Б09 and Б10.
Know. Investment, operating costs, discounting, downtime, risk, service and obligations.
Apply. Justify net gains and identify double counting or shifted costs and risks.
Demonstrate. An economic model with a baseline, alternatives and an adverse scenario.
Prerequisites: Б09 and Б11.
Know. Energy and capacity settlement, metering, services, tariffs, rights, smart contracts and tokenisation.
Apply. Connect delivery, verification and payment; identify jurisdiction and legal questions.
Demonstrate. A project execution and settlement scheme with error resolution.
Prerequisites: Б09 and Б13.
Know. Goals, boundaries, causal links, constraints, hypotheses, alternatives and the value of information.
Apply. Reframe a problem and explain which evidence would change the decision.
Demonstrate. Alternative architectures and a test of the critical assumption.
Prerequisites: Б01; developed across all missions.
Know. Systems engineering, requirements, interfaces, procurement, acceptance, logistics and team knowledge.
Apply. Assign responsibility and check compatibility and operational readiness.
Demonstrate. Responsibility matrix, commissioning sequence and acceptance conditions.
Prerequisites: Б11 Б13 Б14 and Б15.
Explain the meaning. Apply knowledge under changed conditions. Check the answer independently. State the limits. Present the result.
Present existing work and solve an unfamiliar problem.
Credit what is demonstrated and identify specific gaps.
Build the model, compare alternatives and test the solution.
Defend your contribution, limitations and result. Identify the next step.
A stage describes a specific claim. A lunar or Martian settlement design retains its project status until appropriately tested.
A knowledge map, error reviews, primary sources and tasks selected by the learner’s gaps. Weekly updates keep knowledge current; monthly register reviews add practical examples. These intervals do not prescribe a learning pace.
A portfolio of solutions and an independent review record provide evidence of competence. The programme covers the scope and limits of CEM, CMVP and CEng. Issuer requirements must be checked separately. The Academy does not award these qualifications.
Methodology 0.2 records three distinct profiles: creation, transformation and thinking. Comparisons identify mission conditions, personal responsibility, results and evidence quality.
Compare like-for-like missions. Study hours, learning speed and the number of diplomas do not determine the assessment. No overall world positions have been assigned.
| Participant | Reason for the initial record | Status |
|---|---|---|
| Andre Nortje | Energy Manager of the Year 2026 | No overall assessment completed |
| Jagan Pillai | Energy Innovator of the Year 2026 | No overall assessment completed |
| Gregg Fischer | Energy Engineer of the Year 2026 | No overall assessment completed |
| (name withheld) | Individual preparation programme | No overall assessment completed |
The initial register supports evidence collection. An award is a reason to study achievements; it does not establish superiority across the three capabilities. This public edition is a dated snapshot. An independent review panel has not yet been formed.
The full documents are in Russian. Programme 2.0 and methodology 0.2 are aligned. The public register is dated 28 September 2026.
16 areas, diagnostics, practical missions, support and external qualifications.
Comparison criteria, evidence, independent review and revision rules.
Three participant profiles, sources and unresolved evidence. No assigned positions.
Structured areas, prerequisites and mastery criteria for supporting preparation.