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World desk6 min

How to Evaluate Open Source Software in the Energy Sector

A practical guide to evaluating open source software in energy procurement, including the LF Energy benefit-cost framework, adoption evidence, and utility examples.

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Energy organizations should assess open source software against their own procurement baseline across four dimensions: cost, risk, strategic value, and societal value—not assume that a zero license fee makes it the cheaper or better choice. A 2026 LF Energy and Linux Foundation Research framework reports 2–5x greater net value in its application of the framework, but that is a reported result from its case studies and simulations, not a guaranteed return for every utility or project.

What the open source value proposition means for energy organizations

For a utility, grid operator, or energy-sector technology team, the decision is not simply “open source or proprietary.” It may involve buying proprietary software, adopting an open source project without contributing much to it, or collaborating with other organizations to develop shared software. Each approach has different costs, risks, control implications, and potential benefits.

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Open source can matter where organizations face shared technical challenges: integrating systems, adapting software to local needs, reducing dependence on a single supplier, or coordinating development across organizations. Those possibilities are strategic considerations to test, not benefits that follow automatically from a license. Open source does not by itself ensure interoperability, adequate support, security, or lower total cost.

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How the benefit-cost framework compares options

LF Energy and Linux Foundation Research’s The Open Source Value Proposition for the Energy Sector proposes comparing a conventional procurement baseline with one or more alternatives using four value components. The right baseline and alternatives depend on the operator and use case.

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Framework component Questions for an energy organization
Cost What are the costs across the chosen scenario—not just any license fee, but also implementation, operation, maintenance, and support?
Risk What could go wrong in implementation and operation, including security, performance, support, and reliance on a supplier or project community?
Strategic value Could the option improve interoperability, customization, procurement leverage, digital sovereignty, or the ability to shape software to local needs?
Societal value Could shared development or reuse create value beyond the individual organization, such as reusable work or capacity for the wider energy ecosystem?

The framework’s 2026 report summary says that its application through case studies and simulations found 2–5x greater net value than existing procurement approaches or current operational costs. That is the report’s result under its framework application. The available summary does not show the detailed scenario assumptions, time horizon, discount rate, sensitivity ranges, or itemized inputs, so the figure should not be treated as a forecast for a specific organization.

How to make a comparison useful for procurement

A comparison is only as useful as its baseline and assumptions. Before assigning a value to an option, the organization should make clear what it would do instead and keep the alternatives comparable in scope and time horizon.

  1. Define the decision. Specify the software need, operational context, and alternatives under consideration: conventional procurement, open source adoption, or collaborative development.
  2. Set the counterfactual. Record the conventional approach the organization would otherwise use. Avoid comparing an open source project with an undefined or unrealistic alternative.
  3. Use a consistent scope. Compare the same capability and operational need across the alternatives, and state the period used for the assessment.
  4. Separate the four value components. Keep cost, risk, strategic value, and societal value visible instead of burying qualitative considerations inside a single cost estimate.
  5. Document assumptions and evidence. Distinguish measured organizational costs from modeled benefits, survey responses, and results from individual case studies. Identify uncertainties rather than filling gaps with assumed figures.
  6. Test local fit. Check whether the project, integration needs, support arrangements, security practices, and relevant standards fit the organization’s environment.

This is a practical way to use the framework as a decision aid; it is not a reproduction of undisclosed report inputs. The report summary does not establish a universal formula or a standard set of assumptions for every procurement.

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What the adoption evidence does—and does not—show

Linux Foundation Research’s 2023 Energy Transformation Readiness Study surveyed 441 energy stakeholders in North America, Europe, and Asia Pacific. Its publisher summary reported a margin of error of ±4.7 percentage points at 95% confidence. In that 2023 survey, 76% said they had a clear digitalization plan and had begun implementing it, while 51% said IT and operational technology convergence was underway.

A separate LF Energy summary of the 2023 study reported that 64% of respondents used more open source than closed source, and 43% believed industry consensus was key to increasing adoption. These figures describe survey responses from 2023; they are not a measure of current open source use across all utilities or a 2026 market-share estimate.

Respondents identified cost reduction and a faster transition as perceived benefits. They also named performance, support, and security as adoption barriers. These perceptions are relevant to procurement questions, but they are not measured causal proof that open source lowers costs or accelerates a particular project. They also show why an evaluation should explicitly examine operating performance, support capacity, and security rather than assuming those concerns disappear.

What utility collaboration can look like

Alliander and RTE: shared substation software

A 2022 Linux Foundation Research case study describes Dutch distribution system operator Alliander and French transmission system operator RTE adopting and contributing to LF Energy projects SEAPATH, CoMPAS, and OpenSTEF. Their work aimed to support more modular, interoperable, and scalable substations, including in the context of less predictable renewable generation. The case study reports that collaborative development enabled more software solutions to be developed up to ten times faster than proprietary development alone. That is a case-study finding about these operators and projects, not a general development-speed benchmark.

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Canadian grid modernization: interoperability needs governance

Linux Foundation Research’s Canadian energy interoperability study draws on interviews with 17 grid modernization experts. It identifies communication, data sharing, privacy, and security as obstacles to interoperability and points to standards adoption and case studies as ways to address them. The practical lesson is that shared software alone cannot settle questions about data governance, compatible interfaces, privacy controls, or security responsibilities.

Examples in distributed energy and EV charging

A Linux Foundation interoperability infographic published in August 2024 highlights SPEEDIER in distributed energy resource integration and EVerest as an interoperable EV-charging foundation. These examples illustrate areas where open source projects may be relevant; they do not establish that either project suits every operator or system.

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Compare the procurement approaches, not just the licenses

Different forms of open source involvement create different obligations and potential value. A useful evaluation should make the distinctions explicit rather than treating “open source” as a single procurement model.

Approach What the organization is choosing Questions to evaluate
Conventional proprietary procurement Software and related arrangements from a supplier under the applicable procurement and licensing terms. What costs, support, integration, supplier-dependence, and customization constraints apply over the comparison period?
Open source adoption Use of an existing open source project, with little or no substantial contribution by the organization. Is the software suitable and maintainable for the use case? What support, security, integration, and internal skills are available?
Collaborative open source development Use of shared software with active contributions or coordination among participating organizations. Are the shared work, governance, contribution capacity, and community priorities relevant to the organization’s needs?

Across these options, assess total costs over the selected scenario, operational and implementation risks, interoperability with existing systems and evolving standards, strategic control and supplier dependence, and whether shared work is reusable. The framework’s value dimensions provide the structure; local evidence determines what belongs in each organization’s comparison.

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When the reported value is relevant to your decision

The 2–5x result is most useful as a reason to examine value more broadly than near-term software costs—not as a payback promise. The report is titled The Open Source Value Proposition for the Energy Sector; its authors are Sam Boysel of The Linux Foundation and Mital Kanabar of PowerProfs, with a foreword by Alex Thornton of LF Energy. The publisher lists DOI 10.70828/TNUV5704.

For a specific procurement, the decision still turns on the alternatives, operating context, evidence quality, and assumptions the organization can defend. Survey findings help describe stakeholder perceptions; the Alliander–RTE case study supplies an example of collaborative development; neither substitutes for a local cost-and-risk assessment.

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