NEPA Decarbonization Technology Analysis: Deliverable 1

Why NEPA Was Triggered — Classifying the Federal Nexus

Published

May 14, 2026

Executive Summary

Key Findings
  • Funding is the dominant NEPA trigger, accounting for 9,125 projects (44.0%). DOE’s grant and loan guarantee portfolio is the single largest source of decarbonization NEPA reviews.
  • Direct Action is the second-largest class at 3,092 projects (14.9%), driven by federal power authorities (BPA, WAPA, Power Marketing Administrations) building and operating transmission and generation infrastructure directly.
  • Land accounts for 3,666 projects (17.7%)—BLM and Forest Service right-of-way and special use permits for utility-scale renewables on public land.
  • Review process profiles differ sharply by trigger: Categorical Exclusions are dominated by Funding (DOE’s CE authority for grants); Environmental Impact Statements skew toward Land and Direct Action; Environmental Assessments show the most balanced trigger mix.
  • Trigger class predicts regulatory intensity: Funding projects are overwhelmingly CEs; Land and Permit generate proportionally more EAs and EISs—land disturbance and regulatory licensing carry heavier review burdens than financial assistance.
  • Technology patterns reflect nexus logic: Transmission has the highest Direct Action share (PMAs build federal lines); Solar and Wind split between Land (BLM right-of-way) and Funding (DOE grants); CCS and Energy Storage skew toward Funding via DOE emerging technology programs.

This report delivers:

Reasons why NEPA was triggered (e.g., federal land, federal funding) for different types of projects.

Methodology

Trigger Definitions

NEPA applies whenever a federal nexus exists—but the nature of that nexus varies. We classify each project into one of seven mutually exclusive primary trigger classes using a strict priority ordering (highest to lowest). When evidence points to multiple classes, the higher-priority class wins as the primary; lower-priority matches are retained as secondary triggers.

Trigger Federal Nexus
Direct Action The federal agency is the proposer — building, operating, or managing the project (e.g., federal power lines, agency construction, military facilities)
Program A programmatic EIS, land-use plan, or rulemaking umbrella covers the action — the NEPA review is at the policy or program level
Property Transaction A land exchange, disposal, or conveyance of federal property is the triggering event
Land A private or state actor seeks a right-of-way, special use permit, or lease on federal land (BLM, National Forest)
Permit A federal license or permit issued by a regulatory body (FERC license, FAA authorization, Section 404 dredge-and-fill) is the primary nexus
Funding Federal grant, loan guarantee, or financial assistance is the trigger (DOE loan program, IRA grant, Rural Energy for America Program)
Unknown NEPA is confirmed but the trigger cannot be reliably identified from available text or metadata

Secondary triggers are stored separately in the nepa_trigger_secondary field; 1,315 projects have more than one trigger class detected.

Classification Pipeline

Trigger classification runs in five tiers plus a manual-label seed. Each tier feeds into the next; a project is finalized the moment it clears a tier’s acceptance gate and is never re-processed by later tiers. This preserves precision at each level while reserving compute- intensive methods for the genuinely ambiguous cases.

Tier Method Projects Cumulative % Resolved
Tier 0 — Manual labels Hand-labeled seed set loaded first and locked — no downstream tier can override a manual label 890 890 4.3%
Tier 1a — Agency metadata Known agency-to-class lookup: FERC → Permit; BLM/USFS → Land; BPA/WAPA/PMAs → Direct Action; DOE/USACE routed to Tier 4 for document confirmation 5,568 6,458 31.2%
Tier 1b — Title + description Regex patterns on concatenated title and description; specificity-ranked; high-confidence matches auto-accepted 1,751 8,209 39.6%
Tier 2 — Document title scan Regex on document-level titles in the CE/EA/EIS page corpus; catches programmatic EIS, ROW grants, and FERC license amendments 62 8,271 39.9%
Tier 3 — Purpose-and-need Regex extraction from Purpose-and-Need section; auto-accepts BLM/NFS land, NPDES permit, and agency grant patterns 435 8,706 42.0%
Tier 3b — SetFit (DOE CE) Sentence-transformer + logistic regression head fine-tuned on labeled DOE CE examples; runs only on DOE Categorical Exclusions 10,846 19,552 94.3%
Tier 4 — NLI adjudication Cross-encoder NLI: retrieved passage vs. natural-language class hypothesis; must pass doc score, margin, and affirmative-support gates 37 19,589 94.5%
— Unknown Failed all three Tier 4 gates; queued for Tier 5 LLM review or manual inspection 1,136 — 5.5%

Total resolved: 20,225 / 20,725 (97.6%).

The pipeline is implemented in phase2/code/deliverable01/01_extract_nepa_trigger.py. The full output schema is documented in phase2/architecture/deliverables/deliverable01.md.

Evidence Sources

The table below shows how many projects were classified from each evidence source and at what confidence level. Agency Metadata reflects Tier 1a deterministic mappings; Purpose and Need and Project Description reflect document-level text extraction (Tiers 1b–3); Document Title reflects Tier 2 document title scanning.

Table 1: Trigger classification counts by evidence source and confidence level.
Confidence Level Total
High Medium Low
Project Description 13,487 0 0 13,487
Agency Metadata 5,568 0 0 5,568
Document Text 335 37 846 1,218
Document Title 62 0 290 352
Purpose and Need 100 0 0 100

Next Steps and Known Gaps

Item Status Notes
Tier 5 — LLM fallback Not run 500 unknowns queued; run with --use-llm flag when budget is approved
Secondary trigger analysis Pending Secondary triggers are populated in output; multi-label cross-tabulations deferred to next iteration
Multi-process / tiered review integration Future — D2 dependency Combining trigger class with programmatic and tiered review status requires joining D1 + D2 outputs

Trigger Distribution Overview

Figure 1 shows the total number of decarbonization projects in each primary trigger class. Funding is by far the largest class—DOE’s vast grant and loan guarantee portfolio generates more NEPA reviews than any other federal nexus. Direct Action is second, driven by federal power authorities (BPA, WAPA) building and operating transmission and generation infrastructure directly. Land is third, reflecting utility-scale renewables sited on BLM and National Forest lands under right-of-way or special use permits.

Permit, Program, and Property Transaction together account for fewer than 811 projects (3.9%)— these are real but narrow categories of federal nexus.

Figure 1: Primary NEPA trigger counts across 20,725 decarbonization projects. Colors match the trigger legend used throughout this report.

Trigger Type by Review Process

How triggers distribute across CE, EA, and EIS

Figure 2 shows what share of each review process is driven by each trigger class. The three processes reveal strikingly different trigger profiles:

  • Categorical Exclusions are dominated by Funding—DOE’s clean energy grant and loan programs generate an enormous volume of low-complexity actions that qualify for CE-level review.
  • Environmental Assessments show a more balanced mix: Land (BLM/USFS right-of-way grants for solar and wind) and Direct Action (federal transmission projects) each contribute meaningfully alongside Funding.
  • Environmental Impact Statements skew heavily toward Land and Direct Action—larger, more complex projects requiring full EIS review tend to be sited on public lands or are federally constructed.

Figure 2: Primary NEPA trigger type by review process across 20,725 decarbonization projects. Percentage labels shown for segments > 5%.

What review process does each trigger class use?

Figure 3 inverts the view: for each trigger class, it shows the share of projects that went through CE, EA, or EIS review. This reveals the typical regulatory pathway associated with each nexus type.

  • Funding is overwhelmingly resolved at the CE level—consistent with DOE’s categorical exclusion authority for grants and financial assistance that don’t individually require significant analysis.
  • Direct Action and to a a somewhat lesser degree Property Transaction are still overwhelmingly CE level reviews, owing to the clear rote transactional natural of these actions that likely require less rigorous reviews.
  • Land, Program, and Permit produce substantially more EAs and EISs per project than Funding, Direct Action, and Property Transaction, reflecting the environmental scrutiny attached to land disturbance, programming, and regulatory licensing.

Figure 3: Share of CE, EA, and EIS reviews within each primary trigger class. Percentage labels shown for segments > 5%.

Trigger Distribution by Federal Department

Figure 4 shows trigger class distribution across federal departments—the parent cabinet agencies that house the lead agency for each project. Using department rather than individual agency names collapses the ~18+ distinct agencies into a legible set of ~8 entities.

The heatmap reads row by row: each row sums to 100%, showing how a given department’s projects are distributed across trigger classes. For example:

  • Department of Energy projects are largely Funding—DOE’s primary mechanism for decarbonization investment is grant and loan programs rather than direct construction.
  • Department of the Interior (primarily BLM) projects skew toward Land, as expected given BLM’s public land jurisdiction.
  • Department of Agriculture (Forest Service) mirrors Interior but at smaller scale— National Forest special use permits for biomass, wind, and transmission lines.

Figure 4: NEPA trigger distribution by federal parent department. Each row sums to 100%. Cell text: share of that department’s decarbonization projects in each trigger class.

Trigger Distribution by Energy Technology

Figure 5 shows trigger mix across primary clean energy technology types, filtered to technologies with at least 50 projects. Technology assignment uses the first matching clean-energy NEPATEC tag per project (e.g., a project tagged Solar + Utilities is assigned to Solar).

  • Solar and Wind (Onshore) projects are driven mainly by Land and Funding—utility-scale renewables either sit on BLM land or receive DOE financial assistance.
  • Transmission shows the highest Direct Action share, consistent with the Power Marketing Administrations (BPA, WAPA) building federal transmission infrastructure.
  • Hydropower shows a distinctive mix of Direct Action (federal dams) and Permit (FERC licensing for non-federal hydro).
  • Carbon Capture & Storage and Energy Storage skew toward Funding, reflecting DOE’s active grant program for emerging technologies.

Figure 5: Primary NEPA trigger by energy technology type. Technologies with fewer than 50 projects excluded. Technology label = first clean-energy NEPATEC tag per project.

Federal Funding Deep Dive

The 9,125 Funding-primary projects (44.0% of the portfolio) warrant closer examination of how federal money flows and how much each mechanism typically awards. The figures below use a funding details sidecar produced by the funding mechanism extractor.

Funding Mechanism Types

Figure 6 breaks down Funding-primary projects by the type of federal financial instrument: grant, loan guarantee, cooperative agreement, cost-share, etc. This reveals the dominant instruments DOE and other agencies use to trigger NEPA review.

Figure 6: Count and share of Funding-primary decarbonization projects by federal funding mechanism type. Percentages denominated by all Funding-primary projects.

Funding Program Labels

Figure 7 shows which named federal programs and legislative authorities appear most frequently across Funding-primary projects. Program labels are multi-label — a single project may be linked to multiple programs (e.g., an IRA grant administered under the DOE LPO). Percentages are denominated by all Funding-primary projects.

Figure 7: Federal funding program and legislative authority labels across Funding-primary projects. Multi-label: a project may appear under multiple programs.

Dollar Amount Coverage and Distribution

Figure 8 shows what share of Funding-primary projects have each dollar-amount field successfully extracted. Coverage varies by field type: the federal award amount is most frequently present; recipient cost share and funding percentage require more detailed document language.

Figure 8: Share of Funding-primary projects with each dollar-amount field extracted. Missing values indicate no reliable figure was found in the document text.

Figure 9 complements the coverage view with the actual dollar distribution per mechanism type. A note on coverage: dollar amounts are extracted only when the document text contains an explicit award figure — most NEPA documents do not. As a result, only a fraction of the 9,125 Funding-primary projects have an extracted amount; the caption reports the exact count. Despite the limited coverage, the distributions are informative about typical award sizes within each mechanism type. The display is capped at $1B so that a small number of very large loan guarantees do not compress the rest of the chart; outliers above that threshold are noted in the caption and excluded from the view (but included in the boxplot statistics).

Figure 9: Distribution of federal funding amounts by mechanism type (display capped at $1B). Box = Q1–Q3, center = median, whiskers = 1.5×IQR, dots = outliers. Only projects with extracted dollar amounts included; see caption for coverage rate.

Geographic Distribution

State-Level Dominant Trigger

Figure 10 shows the dominant trigger class in each state — the trigger type with the most projects in that state. The map captures broad regional patterns:

  • Funding dominates most states, consistent with DOE’s nationwide grant footprint.
  • Land dominates in the intermountain West (Nevada, Utah, Wyoming, Montana, Arizona, and New Mexico)—states with high proportions of BLM land and active solar and wind development.
  • Direct Action appears in states with significant federal power authority infrastructure (Pacific Northwest, Colorado, Nebraska, and South Carolina).

Note that dominant trigger is determined by project count, not by area or capacity. A state where a single large BLM wind project is the only decarbonization project will appear as Land even if a dozen smaller DOE-funded projects are present.

Figure 10: Dominant NEPA trigger by state — the trigger class with the most projects in each state. Grey = no decarbonization projects in NEPATEC 2.0. Alaska and Hawaii repositioned for display.

County-Level Dominant Trigger

Figure 11 disaggregates the state-level map to the county level, revealing more fine-grained geographic patterns in trigger type. Counties are colored by the dominant trigger class among all decarbonization projects located in that county.

  • The Funding / Land boundary maps closely onto federal land ownership: counties spanning BLM or National Forest land (interior West) show Land as dominant; counties without substantial federal land show Funding.
  • Direct Action clusters in counties with federal power authority infrastructure—Pacific Northwest corridors (BPA transmission), parts of the MidWest, and Southwest transmission hubs.
  • Many rural counties host only one or two projects and are therefore colored by a single project’s trigger type; interpret sparse interior counties with caution.

Figure 11: Dominant NEPA trigger by county — the trigger class with the most projects in each county. Counties with no NEPATEC 2.0 decarbonization projects shown in light grey. Alaska and Hawaii repositioned for display.

Representative Evidence Examples

Table 2 shows two high-confidence classification examples per trigger class, drawn from high-quality evidence sources (Purpose and Need sections, project descriptions, and document titles). These excerpts are intended to be quotable in client reports and illustrate what the pipeline is detecting.

Table 2: Representative evidence text by trigger class. Two high-confidence examples per class; source limited to Purpose and Need, Project Description, and Document Title.
Process Lead Agency Project Evidence Text Source
Funding
CE Department of Energy Prototype Development and Evaluation of Self-Cleaning Con... “Prototype Development and Evaluation of Self-Cleaning Concentrated Solar Power Collectors and Receivers (0595-1625) ["Rational for determination: DOE is proposing to provide federal funding to the ...” description
CE Department of Energy California Provider of Solar Instructor Training “California Provider of Solar Instructor Training ["Rational for determination: The California Community Colleges, Board of Governors will be using DOE funding to create a state-wide standardized tr...” description
Direct Action
CE Department of Energy Sitewide Categorical Exclusion for Relocation of Buildings “In this regard, DOE would install supports, tie-down anchors, trailer skirting, stairways, walkways, ramps, and other support systems for the safe use of the office or trailer.” description
CE Department of Energy Construction of the Goshen County Substation “Brief Description of Proposal: Western Area Power Administration (Western) proposes to construct a new substation called the Goshen County Substation at the intersection of Western's Dave Johnston ...” description
Land
CE Department of Agriculture Idaho Power - Lowman Area Special Use Permit Renewal “Idaho Power - Lowman Area Special Use Permit Renewal ["PROPOSAL\nThe Lowman Ranger District will issue a new special use authorization for a new term to replace expired authorization LMN400144 that...” description
EA Power Marketing Administration Spar Canyon-Round Valley Service Road Project and Right-o... “SPAR CANYON-ROUND VALLEY SERVICE ROAD PROJECT AND RIGHT-OF-WAY AMENDMENT Environmental Assessment” doc_title
Program
CE Department of Energy Vegetation Test Plots; NWTC - SunEdison 1 Megawatt PV Array “DOE/EA- Final Site-Wide Environmental Assessment of the National Renewable Energy Laboratory's National Wind Technology Center 1378 B1.3 Routine maintenance activities and\nRational for determinati...” description
CE Department of Energy Hot Carrier Collection in Thin Film Silicon with Tailored... “Laboratories undergo a chemical inspection on a weekly basis.\nResearch activities conducted at NREL are addressed by the Final Site-Wide Environmental Assessment of the National Renewable Energy L...” description
Permit
EIS Nuclear Regulatory Commission Generic License Renewal of Nuclear Plants “Generic License Renewal of Nuclear Plants would have impacts that would be similar to or less than impacts of the” description
EIS Department of Energy Bear River Narrows Hydroelectric Project “Environmental Impact Statement for Hydropower License, Bear River Narrows Project—Federal Energy Regulatory Commission Project No. 12486, Idaho” doc_title
Property Transaction
CE Department of Energy Acquisition of Access Road Easements “Acquisition of Access Road Easements ["Description of the Proposed Action: BPA proposes to acquire and release access road rights on several transmission line corridors and substations in order to ...” description
CE Department of Energy Troutdale Reynolds Industrial Park Land Purchase and Ease... “Troutdale Reynolds Industrial Park Land Purchase and Easement Acquisition ["Description of the Proposed Action: Bonneville Power Administration (BPA) proposes to purchase two lots and line easement...” description

Report generated 2026-05-14 | NEPA Decarbonization Technology Analysis — Phase 2, Deliverable 1