Assessing Technology Maturity for Energy Project Investment

Which decarbonisation technologies will move the needle by 2040? As energy practitioners, we need to separate scalable from speculative and align roadmaps with TRL, grid readiness, and CO₂ abatement potential. Five domains to prioritize. Renewables: Solar PV, on/offshore wind, hydro, geothermal, tidal CCUS: Post/pre‑combustion, oxyfuel, direct air capture, CO₂ utilisation in materials & fuels Efficiency & Management: Smart grids/EMS, storage (batteries & H₂), advanced insulation, high‑efficiency HVAC & appliances Sustainable Transport: BEVs, hydrogen FCEVs, SAFs, advanced biofuels Industrial Decarbonisation: Green steel/cement, electrified process heat, H₂ for feedstocks & furnaces How to evaluate options Map each technology by current TRL/market penetration vs projected CO₂ reduction by 2040. Read the matrix quadrants: Core (high maturity, high impact) – scale now Emerging (low maturity, high impact) – pilot & de‑risk Enablers (high maturity, moderate impact) – modernize grid & EMS to unlock cores Niche (low maturity, low/wider‑context impact) – watchlist & target specific use‑cases Why this matters Budgets are finite. A clear view of impact × readiness accelerates CAPEX decisions, policy engagement, and workforce development. #NetZero #Decarbonisation #EnergyEfficiency #CCUS #Hydrogen #EVs #GridModernization #IndustrialDecarbonisation #ISO50001 #EnergyManagement #Sustainability #2040

Why do “proven” clean energy technologies still struggle to scale? This question keeps coming up across energy transition projects, especially those that look technically ready on paper. A core issue is that we often rely on Technology Readiness Levels (TRLs) to judge readiness. But adoption is rarely constrained by technical maturity alone. I’m pleased to share a Nature Reviews Clean Technology Perspective I co-authored that addresses this gap by linking sociotechnical (ST) systems thinking with the Adoption Readiness Level (ARL) framework. ARL evaluates adoption risk across 17 dimensions organised into four core areas: • Value proposition • Market acceptance • Resource maturity • Licence to operate What this changes in practice: 1) Adoption readiness is context-dependent and non-monotonic. Technologies can move backwards when policy, market, or social conditions shift. 2)The constraints are often not technical. Institutions, permitting, supply chains, workforce availability, and community perception routinely dominate outcomes, yet they’re still under-analysed in many readiness discussions. ARL becomes genuinely useful when applied as a structured workflow: a) starting with a baseline assessment, b) identifying the dominant adoption bottlenecks, c) examining them through the appropriate STS lens, d) and then updating ARL scores alongside targeted actions. The practical takeaway is simple but important: 👉 “Can we build it?” and “Will it scale here, now?” are fundamentally different questions. I’m interested to hear from others working on deployment and system integration: Which non-technical barrier most often undermines otherwise strong clean-energy projects in your experience: permitting, finance, supply chains, skills, or social licence? Grateful to my co-authors Steve Griffiths, Joao M. Uratani, Aoife Foley, Vanessa Chan for a rigorous and rewarding collaboration. #CleanEnergy #EnergyTransition #TechnologyAdoption #EnergySystems #Policy #Innovation #SociotechnicalSystems #Sustainability https://lnkd.in/emj4SPn3

Whether they realise it or not, people who invest in companies that do anything vaguely technological make money decisions based in part on the maturity of the technology of whichever company they’re looking at. Even people who are investing in firms whose charm is they make the same thing as more innovative rivals only a lot cheaper are doing this: what they want are the maturest (and possibly overripe products). Being able to measure maturity is important, because it’s one of the key ways of deciding whether an investment opportunity fits your risk appetite, with greater maturity generally meaning less risk. How do you measure technological maturity, though? There’s a common misconception out there that it’s more or less a subjective judgment. Not so, and far from it. If it were, “mature” in the tech context would have as much technical value as words like “ugly” or “flashy.” But there is actually a useful, at least somewhat objective and technical way of measuring maturity. It’s called the technology readiness level (TRL). It’s a framework that originated in aerospace and now applies across industries. At its simplest, it’s a ladder from concept (TRL 1) to proven, market-ready product (TRL 9). The ears of early-stage investors like us start pricking up around TRL 5–6. That’s when a technology proves it can survive outside the lab, in the messy real-world conditions of a customer’s environment. If it can run without constant tinkering by the founding team, so very much the better. So if you’re going through the process of picking pitch targets, one of the most useful initial filtering decisions you can make is to assess your product carefully against the TRL. (And if your score comes out as 5–6, shoot me a message!)

The Office of the Principal Scientific Adviser to the Government of India has released the draft National Technology Readiness Assessment Framework, a structured and uniform approach to evaluate the maturity of scientific and technological projects across sectors. The framework positions itself as a comprehensive guide to reduce optimism bias in R&D by moving from narrative based claims to evidence driven assessment of readiness and risk. The framework anchors itself in globally recognized Technology Readiness Levels, adapted to Indian research and innovation ecosystems. It introduces a rigorous, stepwise assessment methodology that begins with a pre-assessment, progresses to an anticipated readiness determination, and culminates in a detailed verification against critical criteria. This approach integrates technology performance, manufacturing preparedness, and programmatic quality, ensuring that readiness reflects system level maturity rather than isolated components. The draft further outlines governance mechanisms, sector-specific annexures for domains such as healthcare, pharmaceuticals, and software, and detailed documentation requirements for Technology Readiness Assessment reports. It emphasizes alignment between research outcomes, industrial deployment, and investment decision making, with the objective of enabling transparent, comparable, and scalable evaluation of projects from early research to full scale operations. The draft assessment framework is open for detailed comments till 31 January 2026 . A copy of the draft assessment framework is enclosed. #TechnologyReadiness #DeepTech #ResearchAndInnovation #RAndDPolicy #ScientificGovernance #PSAIndia #InnovationEcosystem #TRL #TechnologyAssessment #AcademicDiscussion P.S. This is for academic discussion only.

IOGP Publishes Comprehensive Methodology for Techno-Economic Assessment of Carbon Capture Technologies The International Association of Oil & Gas Producers (IOGP) has published a comprehensive report detailing a standard methodology for conducting techno-economic assessments (TEAs) of carbon capture (CC) technologies. Key Highlights: 1. The report consolidates IOGP members' practical experience and expertise in carbon capture and storage (CCS) to provide step-by-step guidance on the techno-economic evaluation process for technology selection. 2. It reviews existing techno-economic assessment literature and methodologies, proposes a detailed workflow, and suggests evaluation criteria for conducting rigorous and consistent TEAs. 3. The methodology can be used to benchmark CO2 capture technologies within a project and assess proposals from technology providers. It is applicable across various industries beyond oil and gas. 4. Agnostic and technology-specific evaluation parameters are provided, enabling comparison of different technologies at various maturity levels. Quantitative and qualitative scoring and weighting methodologies are described. 5. An example case study demonstrates how this TEA methodology can be practically applied to evaluate and compare multiple carbon capture technologies for a real-world project. The Context: As the oil and gas industry expands its portfolio of CCS projects to meet decarbonization targets, there is a clear need for a unified approach to assess competing carbon capture technologies. Establishing a standard TEA methodology provides direction to organizations, project developers and investors to make informed decisions based on consistent cost projections. This fosters greater confidence in the deployment of optimal carbon capture solutions to accelerate the transition to a low-carbon future. In my view, the IOGP's TEA methodology is a vital and timely contribution that will help align the industry, drive consistency in project evaluations, and support fact-based decision making. By leveraging the collective knowledge of its members, the IOGP has delivered a rigorous framework that strikes the right balance between prescriptiveness and flexibility. Organizations can adopt this methodology as is or adapt it to supplement existing internal processes. I believe this will become a core reference guide and encourage collaborative knowledge sharing as CCS deployment scales up globally. What are your thoughts on the importance of harmonizing TEA methodologies for carbon capture technologies? If you are involved in CCS project development, I would be interested to hear how you approach technology evaluation and selection today. #CarbonCapture #TechnoEconomicAssessment #IOGP #CCS #CCUS #CleanTech #Decarbonization #EnergyTransition

"Energy Clusters Offshore: A Technology Feasibility Review". The report explores offshore energy clusters (ECOs) as integrated systems for renewable electricity generation, storage, and clean fuel production to achieve decarbonization goals, including net-zero carbon by 2050. It evaluates key technologies, their costs, potential, and readiness levels. Key Renewable Energy Technologies 1. Fixed-Bottom Offshore Wind Turbines (OWTs): • Annual U.S. energy potential: ~13,500 TWh/year. • Cost: $0.06–$0.11/kWh. • High maturity (TRL 7–9). 2. Floating Offshore Wind Turbines (FOWTs): • Annual U.S. energy potential: ~13,500 TWh/year. • Cost: $0.07–$0.17/kWh. • Medium-high maturity (TRL 7–8). 3. Floating Solar Photovoltaic (FPV) Systems: • Annual U.S. energy potential: ~4,600 TWh/year. • Cost: $0.05–$0.10/kWh. • Medium-high maturity (TRL 6–8). 4. Marine Hydrokinetic (MHK) Energy: • Tidal energy: ~220 TWh/year, $0.20–$0.46/kWh. • Wave energy: ~1,400 TWh/year, $0.30–$0.55/kWh. • Both at medium maturity (TRL ~6). 5. Ocean Thermal Energy Conversion (OTEC): • Potential: ~4,100 TWh/year. • Cost: $0.04–$0.94/kWh. • Low maturity (TRL 1–3). Hydrogen Production Technologies 1. Proton Exchange Membrane (PEM) Electrolysis: • Efficiency: ~60%. • Cost: $2–$12/kg H2 (renewable-powered). • High TRL (8–9), compact design, suitable for offshore systems. 2. Emerging Technologies: • Photoelectrochemical Water Splitting: Efficiency ~16%; low TRL. • Biomass Gasification: Cost ~$1–$5/kg H2; TRL ~6. 3. Comparative Analysis: Renewable PEM electrolysis is currently the most viable and scalable clean hydrogen production method. Hydrogen Storage Options 1. Compressed Gas Storage: • Cost: $13–$17/kWh. • High TRL for overground pressure vessels. 2. Subsea Compressed Gaseous Storage: • Cost: ~$5/kWh. • Promising for long-term storage. 3. Liquid Storage: • Requires cooling to -253°C. • Cost: $10–$30/kWh. • High TRL but unsuitable for offshore systems due to high boil-off losses. 4. Material-Based Storage: • Costs vary widely ($2–$170/kWh). • Medium maturity; promising future applications. Deployment Locations Six sites were evaluated based on renewable resource availability: 1. California Coast: ~13,500 TWh/year wind, abundant solar; cost-effective. 2. Texas Coast: High complementarity of wind/solar, existing natural gas pipelines. 3. East Coast (North Carolina and Rhode Island): High resource availability, low wind-solar overlap. Costs and Policies • Fixed-bottom OWTs have the lowest costs ($0.06–$0.11/kWh), while wave energy is the most expensive (~$0.30–$0.55/kWh). • The Inflation Reduction Act provides significant incentives, including production tax credits of up to $3/kg for clean hydrogen. Challenges and Opportunities • Challenges: High CAPEX, integration complexities, low TRL for some technologies. • Opportunities: Leveraging hybrid systems, optimizing designs for cost and resource efficiency, and aligning with decarbonization policies. #Energy #Hydrogen

Before we can hand an innovation project over for commercial investment, it must pass three traffic lights 🚦 We evaluate maturity across three distinct areas: 1️⃣ Technical readiness: Can we actually produce the product reliably at scale? 2️⃣ Product-market fit: Do we have customers who truly see the value and is the price point viable? 3️⃣ The business case: Will investing in and operating a large-scale factory generate a sufficient rate of return? Ideally, you want to see a clear green light on all three before moving forward. You can technically push forward with one orange light, but it means accepting a significantly higher risk level. Eventually, that uncertainty must be solved. No matter how good the business case looks on paper, the production technology simply must work when you launch. A great recent example is our biogenic carbon capture project. We proved the technical readiness during pilot trials at our Rauma pulp mill and gathered enough early traction from the market to validate the demand. Because those lights turned green, we felt confident skipping the typical demonstration phase entirely and moving directly to engineering our first commercial factory.

Most emerging energy projects are being priced as if the underlying technology behaves like a mature asset. Anyone who has worked inside an EPC team knows that is not the case. Hydrogen, Power to X, Carbon Capture, Battery Energy Storage, Small Modular Reactors, and Sustainable Aviation Fuel facilities are still early in their commercial life. The engineering packages may look complete, but the cost drivers behind them are not settled. Vendor information moves through several iterations. Installation methods are still evolving. Performance expectations are built on design intent rather than field data. This puts owners in a difficult position. They want predictable budgets and firm commitments. It puts contractors in an equally difficult position because they are expected to price and deliver against conditions that do not behave predictably in the field. The result is a maturity gap that affects cost accuracy, risk allocation, and contracting strategy. In this carousel I walk through how technology maturity shapes cost certainty, how first of a kind conditions show up even when the engineering appears stable, and why contract structure needs to match the real level of definition, not the perceived one. If you have worked on any of these projects, you will recognise the patterns. #Hydrogen #PtX #CCUS #BESS #SMR #SAF #EPC #CostEstimating #ProjectControls #ContractStrategy #RiskManagement #EnergyProjects #ConstructionEconomics #emeraldcost