{ "@context": "https://schema.org", "@type": "Article", "url": "https://undersrvd.com/opportunities/heat-and-power-co-location-opportunity-mapper", "slug": "heat-and-power-co-location-opportunity-mapper", "title": "Heat and Power Co-Location Opportunity Mapper", "categories": [ "ClimateTech", "Energy", "Planning", "Infrastructure", "Data & Analytics" ], "regions": [ "United Kingdom" ], "category_urls": [ "https://undersrvd.com/opportunities/category/climatetech", "https://undersrvd.com/opportunities/category/energy", "https://undersrvd.com/opportunities/category/planning", "https://undersrvd.com/opportunities/category/infrastructure", "https://undersrvd.com/opportunities/category/data-and-analytics" ], "region_urls": [ "https://undersrvd.com/opportunities/region/united-kingdom" ], "problem_statement": "Planning policy increasingly favours co-locating large power users, generators and surplus heat sources, but developers and local authorities lack a simple way to identify viable spatial matches across energy, heat demand, grid and planning constraints. Heat-network zoning is moving into implementation in 2026, while industry work highlights both the potential and the practical difficulty of recovering data-centre and industrial waste heat. Co-location value depends on distance, temperature grade, anchor demand, network phasing, grid constraints and planning—not simply whether two assets are nearby.\n\nOperational consequences:\n- Potential heat sources and anchor loads are recorded in different datasets and development pipelines.\n- A promising pairing can fail on distance, timing or heat quality after substantial feasibility work.\n- Local authorities may know planned growth but not have a live view of private surplus-heat opportunities.\n- Developers can miss co-location opportunities because energy, property and planning teams assess sites separately.", "audience": "Energy developers, heat-network developers, data-centre/industrial developers, local authorities and energy planners.\n\nBuyer and user context:\nLikely buyers are heat-network developers, energy consultancies, local-area energy planners, data-centre developers and large estates. Local authorities can sponsor geographic studies but private developers have the clearest value from prospecting.", "evidence_summary": "NPPF directs plans to identify opportunities for decentralised energy and co-location of suppliers/users. Government is creating heat-network zones and publishes renewable/heat planning datasets. Government confirmed the heat-network zoning framework in January 2026 and zone coordination with local authorities. The City of London says regulations are planned for 2026, while techUK and Buro Happold are publishing current work on data-centre heat export and the importance of proximity to heat demand.\n\nEvidence interpretation:\nThe policy and development pipeline support a prospecting tool, but final feasibility remains engineering-heavy. The product should screen and rank opportunities, then hand off to techno-economic modelling.", "demand_signal": "Heat-network zoning is intended to unlock billions in investment, and grid constraints make locational optimisation commercially important. Heat-network zoning is designed to increase network deployment and create anchor connections, while data-centre growth creates large new sources of waste heat and grid pressure. Developers need better origination before commissioning full feasibility.\n\nValidation approach:\nBuild one city-region map using heat-network zones, major heat users and known or consented heat sources. Ask three developers or consultants to review the top 20 matches and track how many progress to a desktop or engineering feasibility study.", "competition_signal": "Energy system modellers, local-area energy planning tools and heat consultants are active. Opportunity is a lightweight development-origination layer using public planning datasets. Local-area energy planning tools, heat-network consultants and GIS specialists already do bespoke opportunity mapping. Public heat-network and renewable project datasets reduce the data moat.\n\nPotential defensibility:\nA continuously refreshed development and source-demand pipeline, timing compatibility and real project outcomes could create a proprietary origination dataset. Integrations with planning applications and developer pipelines matter more than generic heat maps.", "suggested_solution": "A prospecting map that identifies clusters where power generation, high heat demand, surplus heat, grid infrastructure and planning policy create plausible co-location opportunities. Rank potential source-demand pairs with transparent distance, heat-grade, timing, planning and grid assumptions and show the next feasibility question rather than a definitive ROI.\n\nIntended outcome:\nIncrease the number of viable low-carbon heat projects reaching feasibility by finding plausible source-demand matches earlier.", "monetisation_angle": "Pricing classification:\nProxy based — medium confidence.\n\nIndicative pricing:\n- Paid test offer: Paid portfolio pilot: £15,000–£40,000\n£10,000–£40,000/year professional licence; enterprise/API higher. £8,000-£30,000/year for professional or city-region access is plausible; project-origination or API licences can be higher if the tool repeatedly identifies investible opportunities.\n\nEvidence basis:\nBrightly Asset Investment Planning (£1,000–£5,000 per month) is the closest verified adjacent anchor used here. Its buyer, duration and scope are not assumed to be identical; implementation is separated where the opportunity requires integration, assurance or managed delivery.\n\nCommercial test:\nAsk one asset owner, council, utility, developer or environmental programme owner to fund a paid test of Heat and Power Co-Location Opportunity Mapper lasting 8–12 weeks, using an opening price of £15,000–£40,000 and covering 10 live assets, sites, interventions or evidence packs across one portfolio. Paid scope: A prospecting map that identifies clusters where power generation, high heat demand, surplus heat, grid infrastructure and planning policy create plausible co-location opportunities. Charge by asset/site, project, portfolio or organisation and compare the fee with consultant assessment, repeated survey, evidence reconciliation and capital-prioritisation effort. Measure evidence completeness, assessment time, duplicate work, prioritisation quality, compliance exceptions and verified outcomes. Continue only if assessment/reconciliation effort falls by at least 20%, required evidence is at least 90% complete and the portfolio owner renews. Stop or reprice if specialist judgement is obscured, evidence quality does not improve or incumbent asset tools already deliver the workflow.", "underserved_score": 78, "score_rationale": "Strong policy direction and valuable origination problem, but specialist economics and existing energy-planning tools moderate confidence. Policy timing and energy-system pressure are favourable, but specialist feasibility and existing consultancy tools keep confidence moderate.\n\nWhat would change the score:\nRaise above 86 if ranked opportunities repeatedly convert to feasibility projects. Reduce below 60 if users need bespoke engineering before the screening adds meaningful value.", "score_scale": { "min": 0, "max": 100 }, "sources": [ { "name": "National Planning Policy Framework – MHCLG", "url": "https://www.gov.uk/government/publications/national-planning-policy-framework--2", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "GOV.UK – Heat network zoning", "url": "https://www.gov.uk/government/consultations/proposals-for-heat-network-zoning-2023/outcome/proposals-for-heat-network-zoning-2023-government-response-accessible-webpage", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "GOV.UK – Warm Homes Plan", "url": "https://www.gov.uk/government/publications/warm-homes-plan/warm-homes-plan-html", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "GOV.UK – Renewable Energy Planning Database", "url": "https://www.gov.uk/government/publications/renewable-energy-planning-database-quarterly-extract", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "GOV.UK – Heat Networks Planning Database", "url": "https://www.gov.uk/csv-preview/6a6cbd1d862aaf18d9c62b01/HNPD_2026_Q2.csv", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "GOV.UK – Heat network zoning response 2026", "url": "https://www.gov.uk/government/consultations/proposals-for-heat-network-zoning-2023/outcome/heat-network-zoning-consultation-2023-summary-of-government-response", "publisher": "gov.uk", "source_type": null, "date": null, "note": null }, { "name": "City of London – Preparing for heat-network zoning", "url": "https://www.cityoflondon.gov.uk/services/environmental-health/climate-action/climate-action-projects/local-area-energy-plan-creating-a-net-zero-energy-system/low-carbon-heat-networks", "publisher": "cityoflondon.gov.uk", "source_type": null, "date": null, "note": null }, { "name": "techUK – Data centre heat export", "url": "https://www.techuk.org/resource/warming-up-to-efficiency-understanding-the-potential-benefits-and-pitfalls-of-data-centre-heat-export-in-the-uk.html", "publisher": "techuk.org", "source_type": null, "date": null, "note": null }, { "name": "Buro Happold – Heat recovery from data centres", "url": "https://www.burohappold.com/insights/heat-recovery-from-data-centres-turning-a-planning-challenge-into-a-local-decarbonisation-asset/", "publisher": "burohappold.com", "source_type": null, "date": null, "note": null } ], "related_opportunities": [ { "title": "Regional Social Economy Intelligence Platform", "slug": "regional-social-economy-intelligence-platform", "url": "https://undersrvd.com/opportunities/regional-social-economy-intelligence-platform", "api_url": "https://undersrvd.com/api/public/opportunities/regional-social-economy-intelligence-platform.json", "underserved_score": 92, "categories": [ 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