Open Energy Transition
Decision-chain explorerPrepared for Impact Supporters
From planning infrastructure to real investment

Grid investment is the end of a decision chain - not the beginning.

Models do not decide what gets built. They help produce evidence that must survive technical, institutional, political, regulatory and financing gates before capital is committed.

Central insightOpen source does not guarantee a good plan. It makes evidence easier to inspect, reproduce, challenge and improve - and allows better methods to spread across institutions and planning cycles.

Where philanthropic funding has leverage

The highest-leverage portfolio combines shared technical infrastructure with decision-linked deployments and the ecosystem capacity to sustain adoption beyond OET. Deployment leadership can sit with OET, the institution or a trusted regional partner.

Build

Strengthen the shared foundation

Make open planning reliable and institution-ready, so each country does not start from zero.

  • Core model maintenance and PyPSA Task Force
  • Planning-grade data and interoperability
  • Benchmarks, compute and security
  • Manta / GUI, workflows and audit trails
Deploy

Target real decision windows

Use the delivery model that best fits the institution: OET-led, institution-led or partner-led.

  • Trust-building and institutional adoption
  • Technical implementation, validation and integration
  • Training, handover and long-term support
  • Codified methods, data pipelines and lessons
Scale

Make capability spread

Lower the cost of adoption by enabling local institutions, partners and communities to deliver more of the work.

  • Awareness building in priority regions
  • Role-specific training and train-the-trainer
  • Tool support, service pathways and communities
  • Key events, partnerships and formal consultations

Three deployment leadership models

The public institution always owns the mandate, official process and final decision. What varies is who leads the adoption effort. Local partners can contribute in any model.

ENTSO-E example

OET-led deployment

OET leads the technical design, implementation, validation and adoption support needed to build trust and move the institution toward routine use. The institution owns the official process and capability. Local partners can join where useful.

Chile example

Institution-led deployment

The institution has already adopted open source with its own staff and leads the workflow. OET strengthens the effort through gap closure, quality assurance, training, troubleshooting, workflow hardening and maintainer access.

Philippines / Indonesia example

Partner-led deployment for an institution

A trusted regional organisation leads the relationship, convening and local delivery—for example ICSC with Philippine institutions or IESR with Indonesian institutions. OET supplies modelling, software and data depth; the ministry, regulator or grid operator owns the resulting capability and decision.

Choose deployments for quick and durable impact

A country opportunity is strongest when it is linked to a real institutional decision window and leaves capability behind.

Decision window

A formal plan, assessment or procurement will use the work within roughly 12-18 months.

Institutional owner

A ministry, regulator, system operator or utility owns the process and has authority to use the evidence.

Delivery lead and local anchor

OET, the institution or a trusted partner can lead delivery, but an internal champion and local continuity must be clear.

Solvable adoption gap

OET can remove a specific blocker in tools, data, validation, workflow, training or support.

Reusable value

The deployment creates methods, code, data pipelines, training or proof that lowers the cost of future adoption.

Technical entry routes are risk-managed

Open-source adoption does not need to begin with a full migration. The best first step depends on the planning question, legacy dependency and risk appetite.

A
Low disruption

New open-source study

Use a new planning question to build a decision-grade workflow without touching existing proprietary delivery.

Best for: early proof and new requirements.
B
Confidence building

Parallel-run benchmark

Replicate a selected existing question, compare results and explain methodological or data differences.

Best for: trust, validation and institutional buy-in.
C
When replacement is clear

Selected study migration

Transfer a proven workflow with training, support, feature closure, GUI and integration where useful.

Best for: sustained operational capability.