{"links": [{"rel": "self", "href": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets/dfes-network-headroom-report"}, {"rel": "datasets", "href": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets"}, {"rel": "attachments", "href": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets/dfes-network-headroom-report/attachments"}, {"rel": "reuses", "href": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets/dfes-network-headroom-report/reuses"}, {"rel": "static_exports", "href": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets/dfes-network-headroom-report/static_exports"}], "dataset": {"visibility": "domain", "dataset_id": "dfes-network-headroom-report", "dataset_uid": "da_wdr7jv", "has_records": true, "features": ["timeserie", "analyze", "geo", "custom_view"], "attachments": [{"id": "data_triage_dfes_network_scenario_headroom_report_xlsx", "title": "Data Triage - DFES Network Scenario Headroom Report.xlsx", "mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "url": "https://ukpowernetworks.opendatasoft.com/api/v2/catalog/datasets/dfes-network-headroom-report/attachments/data_triage_dfes_network_scenario_headroom_report_xlsx"}], "alternative_exports": [], "data_visible": false, "fields": [{"name": "category", "description": "Indicates the type of headroom \u2013 unused capacity for demand, for inverter-connected generation or synchronous generation", "annotations": {"facet": true, "sortable": true, "facetsort": "alphanum"}, "label": "Category", "type": "text"}, {"name": "substation_name", "description": "Name of the BSP (Bulk Supply Point) or Primary substation as per the latest LTDS Table 3A/3B.", "annotations": {"facet": true}, "label": "Substation Name", "type": "text"}, {"name": "voltage_kv", "description": "Substation maximum connection voltage level, in kV (as listed in LTDS).", "annotations": {}, "label": "Voltage (kV)", "type": "double"}, {"name": "sitefunctionallocation", "description": "Allocated network level / functional location for the site (e.g., Primary, BSP) used to group and report NSHR results.", "annotations": {}, "label": "Site Functional Location", "type": "text"}, {"name": "bulksupplypoint", "description": "Bulk Supply Point (BSP) group supplying the substation, as per LTDS base topology.", "annotations": {}, "label": "Bulk Supply Point", "type": "text"}, {"name": "gridsupplypoint", "description": "Grid Supply Point (GSP) group supplying the BSP / substation, as per LTDS base topology.", "annotations": {}, "label": "Grid Supply Point", "type": "text"}, {"name": "scenario", "description": "DFES Scenario (Holistic Transition, CounterFactual, Electric Engagement, Hydrogen Evolution)", "annotations": {"facet": true, "sortable": true, "facetsort": "alphanum"}, "label": "Scenario", "type": "text"}, {"name": "year", "description": "Reporting year of the NSHR value (baseline year and forecast years under DFES scenarios).", "annotations": {"sortable": true, "facet": true, "facetsort": "alphanum", "timeserie_precision": "year"}, "label": "Year", "type": "date"}, {"name": "headroom_mw", "description": "Available headroom capacity at the substation, in MW, for the given year/scenario (unused firm capacity; negative values indicate a deficit).", "annotations": {"unit": "MW"}, "label": "Headroom (MW)", "type": "double"}, {"name": "licencearea", "description": "Licence area the substation belongs to  - Eastern, London or South Eastern Power Networks ", "annotations": {"facet": true, "sortable": true}, "label": "LicenceArea", "type": "text"}, {"name": "headroom_percent", "description": "Demand Headroom expressed as a percentage of firm capacity for the relevant season/constraint (where provided). 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The full NDP is published every other year, and the NSHR is updated annually.</p><p>The NSHR indicates the available headroom capacity in MW for demand and generation on UK Power Networks Grid and Primary substations up to 2050. It shows where reinforcement or procurement of flexibility services are needed. Since the report indicates unused substation capacity in each year, please note unused capacity may be contractually committed to customers. Those seeking connection should contact our connections gateway to understand the latest view of available capacity.</p><p>The 1 May 2026 DFES NSHR dataset uses the network loading from our the Long Term Development Statement November 2025 as baseline, and our <a href=\"https://dso.ukpowernetworks.co.uk/distribution-future-energy-scenarios\" target=\"_blank\">Distribution Future Energy Scenarios 2025 </a>for the future scenarios of demand and generation.\u00a0</p><p>For further information on the NDP and the methodology to produce the DFES NSHR dataset please see<a href=\"https://ukpowernetworks.opendatasoft.com/explore/assets/network-development-plan/view/\" target=\"_blank\"> Network Development Plan Landing Page</a></p><p>The headroom tables are based on firm capacity. However,\u00a0 more capacity may be available for customers on a non-firm, flexible or curtailable connection.</p><p>The demand headroom tables reflect our latest firm capacity figures for demand, consistent with the May 2025 LTDS. The generation headroom tables reflect the equipment ratings in the November 2025 LTDS.\u00a0.\u00a0</p><p><b>As noted in the methodology, unused substation capacity (headroom) is indicative and may be already contractually committed to specific customers.</b></p><div><br></div><h2>Methodological Approach</h2><p></p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Data Collection</span>: Gathering data from various sources, including historical usage patterns, projected growth in renewable energy, and changes in regulatory frameworks.</p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Forecasting</span>: The process begins with forecasting future network loads and demands. This often involves scenario planning to predict how energy consumption and generation will evolve to 2050. The forecast methodology is reviewed periodically to incorporate new data, stakeholder feedback, and any changes in energy policy or technology. Stakeholder inputs including local authorities Energy Plans, developers, and energy providers are considered to ensure the plans align with community needs and regulatory requirements.</p><p>\u2022<b><span style=\"white-space: pre;\"> </span><span style='font-size:10.0pt;line-height:107%;\nfont-family:\"Aptos\",sans-serif;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:\nAptos;mso-fareast-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;\nmso-bidi-font-family:\"Times New Roman\";mso-bidi-theme-font:minor-bidi;\nmso-ansi-language:EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA'>Distribution\nNetwork Options Assessment</span></b> Assessing the identified network constraints and developing potential solutions to address these identified constraints. This may involve traditional reinforcement methods or exploring flexibility services.</p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Reporting</span>: Compiling findings into a structured report that outlines the methodology, assumptions, and planned interventions. This report is typically made available to the public for transparency.</p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Review and Update</span>: The methodology is reviewed periodically to incorporate new data, stakeholder feedback, and changes in energy policy or technology.</p><h2>Quality Control Statement</h2><p></p><p>Quality Control Measures include:</p><p>\u2022<span style=\"white-space: pre;\"> </span>Verification steps to match features only with confirmed functional locations.</p><p>\u2022<span style=\"white-space: pre;\"> </span>Manual review and correction of data inconsistencies.</p><p>\u2022<span style=\"white-space: pre;\"> </span>Use of additional verification steps to ensure accuracy in the methodology.</p><h2>Assurance Statement</h2><p></p>\n<p>The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.</p><h2>Other</h2><p></p><p>Download dataset information:\u00a0<a href=\"https://ukpowernetworks.opendatasoft.com/explore/dataset/domain-dataset0/download/?format=json&amp;refine.identifier=dfes-network-headroom-report\" target=\"_blank\">Metadata (JSON)</a></p><p>Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary:<a href=\"https://ukpowernetworks.opendatasoft.com/pages/glossary/%20https://ukpowernetworks.opendatasoft.com/pages/glossary/\" target=\"_blank\">\u00a0https://ukpowernetworks.opendatasoft.com/pages/glossary/</a></p><div class=\"ods-asset-customview-crosslink\"></div><div class=\"ods-asset-customview-crosslink\">If you have any questions or need clarification on any of the information shared as part of the Network Development Plan, please email our Network Insights team via\u00a0<a href=\"mailto:NetworkInsights@ukpowernetworks.co.uk?subject=OpenDataPortal\">NetworkInsights@ukpowernetworks.co.uk</a></div>", "theme": ["Network Usage"], "keyword": null, "license": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "language": "en", "metadata_languages": ["en"], "timezone": null, "modified": "2026-05-01T15:06:50.556000+00:00", "modified_updates_on_metadata_change": false, "modified_updates_on_data_change": true, "data_processed": "2026-05-01T15:06:50.556000+00:00", "metadata_processed": "2026-05-01T15:06:50.608000+00:00", "geographic_reference": null, "geographic_reference_auto": false, "territory": null, "geometry_types": ["Point"], "bbox": {"type": "Feature", "geometry": {"coordinates": [[[1.7573559377342463, 52.94514197856188], [-0.9580650273710489, 52.94514197856188], [-0.9580650273710489, 50.7581639662385], [1.7573559377342463, 50.7581639662385], [1.7573559377342463, 52.94514197856188]]], "type": "Polygon"}, "properties": {}}, "publisher": "UK Power Networks, Company number 3870728", "references": null, "records_count": 177360, "attributions": null, "source_domain": null, "source_domain_title": null, "source_domain_address": null, "source_dataset": null, "shared_catalog": null, "federated": false, "parent_domain": null, "update_frequency": ["ANNUAL_2"]}, "dublin-core": {"title": "Distribution Future Energy Scenarios Network Scenario Headroom Report (DFES NSHR)", "alternative": null, "subject": ["Demand", "Generation", "Headroom", "Distribution System Operator (DSO)"], "description": "<h2>Introduction</h2><p></p><p>UK Power Networks Network Scenario Headroom Report (NSHR) is part of the Network Development Plan (NDP). The full NDP is published every other year, and the NSHR is updated annually.</p><p>The NSHR indicates the available headroom capacity in MW for demand and generation on UK Power Networks Grid and Primary substations up to 2050. It shows where reinforcement or procurement of flexibility services are needed. Since the report indicates unused substation capacity in each year, please note unused capacity may be contractually committed to customers. Those seeking connection should contact our connections gateway to understand the latest view of available capacity.</p><p>The 1 May 2026 DFES NSHR dataset uses the network loading from our the Long Term Development Statement November 2025 as baseline, and our <a href=\"https://dso.ukpowernetworks.co.uk/distribution-future-energy-scenarios\" target=\"_blank\">Distribution Future Energy Scenarios 2025 </a>for the future scenarios of demand and generation.\u00a0</p><p>For further information on the NDP and the methodology to produce the DFES NSHR dataset please see<a href=\"https://ukpowernetworks.opendatasoft.com/explore/assets/network-development-plan/view/\" target=\"_blank\"> Network Development Plan Landing Page</a></p><p>The headroom tables are based on firm capacity. However,\u00a0 more capacity may be available for customers on a non-firm, flexible or curtailable connection.</p><p>The demand headroom tables reflect our latest firm capacity figures for demand, consistent with the May 2025 LTDS. The generation headroom tables reflect the equipment ratings in the November 2025 LTDS.\u00a0.\u00a0</p><p><b>As noted in the methodology, unused substation capacity (headroom) is indicative and may be already contractually committed to specific customers.</b></p><div><br></div><h2>Methodological Approach</h2><p></p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Data Collection</span>: Gathering data from various sources, including historical usage patterns, projected growth in renewable energy, and changes in regulatory frameworks.</p><p>\u2022<span style=\"white-space: pre;\"> </span><span style=\"font-weight: bolder;\">Forecasting</span>: The process begins with forecasting future network loads and demands. 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