Spain - Green Algorithms Programme

National Programme for Green Algorithms

Programa Nacional de Algoritmos Verdes

Spain

RAI-ES-NA-NPGAPXX-2022
Adopted(Adopted)
PolicyGovernance and OversightConformity Assessment and RegistrationAccountability and Documentation
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The National Programme for Green Algorithms (PNAV) is a Spanish national initiative adopted on 13 December 2022 to promote the development, measurement and certification of energy- and resource-efficient artificial intelligence (Green AI). Funded primarily through NextGenerationEU, it establishes standards, measurement tools, certification schemes and funding instruments to mainstream 'green by design' principles in AI and related digital technologies.

Summary

The National Programme for Green Algorithms (Programa Nacional de Algoritmos Verdes, PNAV) is Measure 20 of Spain's Estrategia Nacional de Inteligencia Artificial (ENIA). Formally approved by the Government on 13 December 2022, PNAV is designed to reduce the environmental footprint of artificial intelligence and related digital technologies while promoting their use to address climate and environmental challenges. The programme is funded through the European NextGenerationEU recovery funds (with an indicative envelope of €278 million) and is implemented during a multi-year horizon (noted in the programme documents as 2023–2025 for primary development activities).

PNAV sets out four strategic pillars: 1) promote interdisciplinary research in Green AI; 2) foster efficient infrastructures, measurement standards and quality seals for low-impact AI; 3) integrate Green AI into the productive fabric through missions, public–private projects and financing; and 4) dynamize the Spanish market through open challenges, data generation and ecosystem building. Key deliverables include: a public-facing GREEN AI platform, standardized energy-consumption metrics and measurement procedures for AI systems (training and inference phases), an energy-consumption calculator, technical guides and best practices under the ‘Green by Design’ principle, and an industry certification and quality seal for Green Tech providers.

Implementation is led from the Secretaría de Estado de Digitalización e Inteligencia Artificial (the Spanish Secretariat of State for Digitalisation and Artificial Intelligence) in coordination with other ministries, public bodies (including Red.es and other executing agencies), standardisation bodies (working with Grupo UNE/AENOR), research institutions and private sector participants. PNAV aligns with EU-level priorities (European Green Deal, EU AI Act objectives on sustainability and transparency) and includes governance arrangements for funding, monitoring, and anti-fraud safeguards. It also specifies that measures will comply with existing legal frameworks on public procurement, state aid and financial management of EU funds.

PNAV places emphasis on transparency, accountability and the creation of practical tools for industry adoption—standard metrics for energy and water consumption related to AI, certification schemes and an accreditation pathway for providers. While PNAV is primarily promotional and normative (standards, funding, certification, guidance), compliance is tied to programme funding and public procurement eligibility; breaches affecting use of public funds may trigger administrative recovery, suspension of payments, or other sanctions consistent with Spanish and EU rules on misuse of public funds. PNAV is a strategic national measure intended to position Spain as an early leader in Green AI and to feed into international standardisation and regulatory debates on sustainable AI.

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Overview

The National Programme for Green Algorithms (PNAV) is a government-led initiative approved on 13 December 2022 to foster the development and adoption of energy- and resource-efficient artificial intelligence across Spain. PNAV is measure 20 of the Spanish Estrategia Nacional de Inteligencia Artificial (ENIA) and is financed principally through NextGenerationEU recovery funds. The programme sets out four strategic axes—research, efficient infrastructures and measurement, industrial integration, and market dynamization—and delivers public goods such as a GREEN AI platform, measurement tools and a certification/sigma scheme for Green Tech. The PNAV dossier and technical documentation are published by the national PNAV portal (see the official programme dossier in PDF at Programa Nacional de Algoritmos Verdes (PDF)) and summarised on the national recovery plan site (Plan de Recuperación: Government news).

Definitions

For PNAV purposes, key definitions include: "Green AI" (AI designed, developed and operated to minimise material, energy and water footprints across its lifecycle); "Green by Design" (principles applied from conceptualisation through deployment to prioritise sustainability); "Measurement metrics" (standardised indicators for energy, carbon and water related to training and inference of models); "Certification" (an audit and accreditation pathway granting a Green Tech quality seal); and "Beneficiaries" (entities receiving PNAV funding, including research centres, companies and public bodies). These definitions are detailed in the programme dossier and technical annexes to ensure consistent application by implementers and auditors.

Governance and Institutional Framework

PNAV is implemented under the authority of the Spanish Secretariat of State for Digitalisation and Artificial Intelligence, within the Ministry responsible for digital policy and public administration. Execution draws on a combination of central ministries, implementing public agencies (including entities such as Red.es that manage operational programmes under recovery-plan components), standardisation partners (Grupo UNE/AENOR for technical specifications) and research networks. Governance arrangements in the programme dossier set out steering committees, technical working groups, an anti-fraud and compliance unit, and monitoring channels for the flow of NextGenerationEU funds. Strategic coordination is required across environment, industry and research ministries to align PNAV activities with national climate commitments and the European Green Deal; the programme dossier explicitly references alignment with EU policy and standardisation efforts (PNAV resources).

Key Focus Areas

PNAV defines four complementary focus areas. First, Research & Talent: creation of thematic chairs and grants to promote interdisciplinary Green AI research and attract talent through mechanisms such as Spain Talent Hub. Second, Efficient Infrastructures & Standards: development of standard metrics, a consumption-calculator tool and measurement methodologies for model training and inference phases, plus guidance on efficient data-centres and cloud services. Third, Integration into the Productive Fabric: funding missions, public–private collaborations, and instruments such as the NextTech fund to accelerate Green AI in industry verticals. Fourth, Market Dynamization: certification schemes and a Green Tech quality seal, open data and challenge-based innovation (hackathons and challenges Green AI) to stimulate market uptake. The programme also documents sectoral use-cases (energy management, biodiversity monitoring, circular economy, water management and precision agriculture), and stresses reuse of pre-trained models, model compression, and operational efficiencies to reduce unnecessary retraining. PNAV stresses lifecycle thinking (embedded sustainability from model design through decommissioning) and supports the creation of open tools to allow replicable measurement of environmental impact across diverse deployment scenarios.

Implementation Framework

Implementation is structured around concrete deliverables (standards, tools, platform, certification) and a multi-year spending and procurement plan. The PNAV dossier outlines operational instruments: calls for proposals, public procurement guidelines for green AI services, accredited measurement laboratories, and competitive challenge formats for innovation. Financial flows from the NextGenerationEU envelope are channelled to projects aligned with PNAV objectives, subject to eligibility, anti-fraud provisions and co-financing rules. Technical working groups define measurement protocols; Grupo UNE (national standards channels) is engaged to convert consensus into a technical specification. The GREEN AI platform acts as a hub for resources, tools and calls; implementing agencies publish transparency reports and selection criteria for funded projects.

Monitoring and Evaluation

PNAV establishes monitoring indicators tied to the overarching goal of reducing the environmental footprint of AI and related services. Monitoring mechanisms include periodic reports from beneficiaries, validated consumption measurements (using the programme calculator and standard metrics), milestone-based disbursement controls, and external audits linked to NextGenerationEU control requirements. The governance model includes a monitoring committee that reviews progress against targets, an evaluation plan with mid-term reviews (to 2024) and final assessment at the end of the programme development horizon (2025). Data collected is used both to assess programme impact and to refine metrics and best practices for broader adoption.

Penalties, Liability, and Appeals

PNAV ties compliance to funding eligibility: beneficiaries must meet reporting, measurement and governance requirements. Failures to comply can trigger corrective measures including suspension of payments, requirement to return funds (recovery), exclusion from future funding rounds, and possible administrative fines under Spanish public funds rules. The dossier emphasises compliance with EU anti-fraud provisions and national financial management law; criminal liability may apply in cases of fraud. The programme provides internal appeal channels for funding decisions and refers to ordinary administrative and judicial remedies under Spanish law for enforcement and redress.

Relationship to Other Instruments

PNAV is embedded in the ENIA and the national digital roadmap (Agenda España Digital 2026) and is financed through the Plan de Recuperación, Transformación y Resiliencia (NextGenerationEU). It complements sectoral data spaces, national climate policies and public procurement rules. PNAV’s standards and certification pathways are intended to feed into national and European standardisation (UNE/AENOR and CEN/CENELEC), and to complement emerging obligations from the EU AI Act and related sustainability reporting frameworks. The programme explicitly positions itself as a bridge between national AI strategy and EU Green Deal priorities (see official programme dossier and recovery-plan announcement).

International Alignment

PNAV explicitly references alignment with the European Green Deal and the EU’s coordinated AI approach, and aims to contribute to international standardisation on sustainability metrics for AI. Collaboration mechanisms include engagement with UNE/AENOR for technical specifications, liaison with EU-level standardisation bodies (CEN/CENELEC/ETSI) and participation in relevant international fora to promote interoperable measurement and certification approaches. The programme aims to make Spanish measurement methodologies available for international review and to influence global practice on measuring the environmental footprint of AI systems.

Implementation Timeline

MilestonePlanned Date / PeriodNotes
Government approval of PNAV2022-12-13Adopted by the Council of Ministers; programme dossier published.
Primary implementation phase2023–2025Calls for projects, standard development, platform deployment and certification pilots.
First technical standards and measurement tools published2023–2024Development with Grupo UNE/AENOR and technical working groups.
Certification and quality seal pilot2024Pilot audits and first Green Tech awards.
Mid-term evaluation2024Mid-programme review to adjust targets and instruments.
Final evaluation and next-phase recommendations2025Comprehensive assessment and recommendations for mainstreaming.

Sources and References

SourceType
Programa Nacional de Algoritmos Verdes (PNAV) — Official dossier (PDF)Primary Source
PNAV official portal — Programa nacional de algoritmos verdesPrimary Source
Plan de Recuperación — Government press: approval of PNAV (13.12.2022)Primary Source

Requirements for a company

What an organisation has to do under Spain - Green Algorithms Programme, at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Adopted). These requirements apply once the instrument takes effect and may change before then.

Must do

8
  • Comply with EU anti-fraud provisions and national financial management law.All recipients of PNAV funding.
  • Meet all reporting, measurement, and governance requirements.Beneficiaries of PNAV funding.
  • Ensure projects align with PNAV objectives to be eligible for funding.Entities seeking PNAV funding.
  • Apply Green by Design principles from conceptualization through deployment to prioritize sustainability.Project proposers and developers of AI systems.
  • Adopt standard measurement metrics for energy, carbon, and water.Beneficiaries of PNAV funding.
  • Report periodic energy and resource consumption using programme calculator and standard metrics.Beneficiaries of PNAV funding.
  • +2 more in the table below

Must not do

0

Nothing in this category.

Should do

2
  • Prioritize reuse of pre-trained models, model compression, and operational efficiencies.Developers of AI systems.
  • Embed sustainability from model design through decommissioning.Developers of AI systems.

Should not do

0

Nothing in this category.

Who must do what

The obligations under Spain - Green Algorithms Programme, most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1All recipients of PNAV funding.Comply with EU anti-fraud provisions and national financial management law.
The dossier emphasises compliance with EU anti-fraud provisions and national financial management law; criminal liability may apply in cases of fraud.
Penalties, Liability, and AppealsCritical
2Beneficiaries of PNAV funding.Meet all reporting, measurement, and governance requirements.
beneficiaries must meet reporting, measurement and governance requirements.
Penalties, Liability, and AppealsCritical
3Entities seeking PNAV funding.Ensure projects align with PNAV objectives to be eligible for funding.
Financial flows from the NextGenerationEU envelope are channelled to projects aligned with PNAV objectives
Before applying for fundingImplementation FrameworkImportant
4Project proposers and developers of AI systems.Apply Green by Design principles from conceptualization through deployment to prioritize sustainability.
'Green by Design' (principles applied from conceptualisation through deployment to prioritise sustainability)
Before placing on marketDefinitionsImportant
5Beneficiaries of PNAV funding.Adopt standard measurement metrics for energy, carbon, and water.
validated consumption measurements (using the programme calculator and standard metrics)
Before reporting consumptionMonitoring and EvaluationImportant
6Beneficiaries of PNAV funding.Report periodic energy and resource consumption using programme calculator and standard metrics.
Monitoring mechanisms include periodic reports from beneficiaries, validated consumption measurements
Periodically, as requiredMonitoring and EvaluationImportant
7Beneficiaries of PNAV funding.Submit periodic reports on project progress and impact.
Monitoring mechanisms include periodic reports from beneficiaries
Periodically, as requiredMonitoring and EvaluationImportant
8Applicants for the Green Tech quality seal.Participate in audits to obtain the Green Tech quality seal certification.
Certification (an audit and accreditation pathway granting a Green Tech quality seal)
During certification processKey Focus AreasImportant
9Developers of AI systems.Prioritize reuse of pre-trained models, model compression, and operational efficiencies.
stresses reuse of pre-trained models, model compression, and operational efficiencies to reduce unnecessary retraining.
Key Focus AreasRecommended
10Developers of AI systems.Embed sustainability from model design through decommissioning.
PNAV stresses lifecycle thinking (embedded sustainability from model design through decommissioning)
Key Focus AreasRecommended

© Regulations.AI · updated on 13-Jun-2026