Energy Transition Market Dashboard

Investor-grade benchmarking for generation, storage, and hydrogen economics—powered by transparent assumptions and standardized definitions.

SOLAR-LCOE
$/MWh
$
Utility-scale PV LCOE from standardized inputs (WACC, CAPEX, CF, O&M).
WIND-LCOE
$/MWh
$
Onshore wind LCOE with explicit capital recovery factor and lifetime.
STORAGE-LCOS
$/MWh
$
LCOS per MWh discharged using cycles/year, efficiency, and charging cost.
GREEN-H2-LCOH
$/kg
$
Green hydrogen LCOH with electricity consumption and utilization rate.
Scenario Output Snapshot
$
Set inputs below and press Update
Assumptions (Transparent Inputs)
Generation (LCOE) Inputs
Storage (LCOS) Inputs
Hydrogen (LCOH) Inputs
Definitions follow common industry usage of LCOE/LCOS/LCOH. This is a transparent model for benchmarking and scenario work; outputs are sensitive to site quality, financing, taxes, degradation, and market structure.
Assumption Notes (for investor use):
  • Taxes & incentives: Not modeled. For bankability, reflect tax equity, depreciation, and incentives in a project finance model.
  • Degradation & replacements: Not modeled explicitly. If you need higher fidelity, adjust effective capacity factor or lifetime costs.
  • Interconnection & grid fees: Not included. Add them via CAPEX/O&M or adjust electricity price assumptions.
  • Storage duration: This LCOS formulation is per kWh of energy capacity. Revenue depends on power rating and market services.
  • Hydrogen scope: LCOH here covers electrolyzer + electricity + basic consumables only (no compression, storage, transport, or downstream conversion).
LCOE Sensitivity vs WACC
LCOS Sensitivity vs Electricity Price

Hub Links

TOOLS HUB
STORAGE ECONOMICS
GENERATION ECONOMICS

Methodology is transparent: capital recovery factor, lifetime energy, charging losses, and utilization.

Read Methodology

Methodology (Referenceable & Transparent)

This dashboard uses standardized cost definitions widely used in energy finance and techno-economic analysis. The goal is to provide an investor-grade benchmark that is easy to audit: you can see every assumption, and every output is computed from those inputs.

LCOE (Levelized Cost of Energy)

We compute LCOE using a capital recovery factor (CRF) approach. For a technology with CAPEX expressed in $/kW, fixed O&M in $/kW-year, variable O&M in $/MWh, capacity factor CF, discount rate r (WACC), and lifetime n years, annualized capital is CAPEX×CRF. Annual energy is 8760×CF MWh per MW-year. LCOE is then the sum of annualized capital and O&M divided by annual energy (plus variable terms).

LCOS (Levelized Cost of Storage)

LCOS is computed per MWh discharged. We annualize storage CAPEX ($/kWh) using CRF, then divide by annual discharged energy (cycles/year × depth of discharge). We then add the cost of charging energy, adjusted for round-trip efficiency (electricity price / efficiency), plus any variable O&M.

LCOH (Levelized Cost of Hydrogen)

LCOH is computed per kg of hydrogen. We annualize electrolyzer CAPEX ($/kW) using CRF, add fixed O&M, then divide by annual hydrogen output derived from utilization and the kWh/kg consumption. Electricity cost per kg is electricity price ($/MWh) × (kWh/kg ÷ 1000).

Primary references

For definitions and benchmarking practices, consult widely used references such as NREL Annual Technology Baseline (ATB) for methodology and parameter conventions, IRENA renewable cost reports for market benchmarking, and Lazard levelized cost analyses for comparative framing. This page implements the core standardized math; you can calibrate inputs to match any published dataset.

Energy Transition Market Dashboard: Investor Intelligence in One Screen

Investors do not win by reading headlines; they win by translating technology change into measurable economics. That is why the most valuable market intelligence platforms behave like a terminal: they compress complexity into benchmarks, scenario tools, and repeatable methodology. The Energy Transition Market Dashboard is designed as the hub for your decision workflow. It connects generation, storage, and hydrogen economics under one transparent framework, and it links directly to the underlying calculators across the Energy Solutions platform.

In the energy transition, cost is not a single number. A solar project in a high-irradiance region with strong offtake terms can look radically different from an identical PV system financed with a higher discount rate or installed in a market with weaker grid connection and curtailment risk. The same is true for batteries: a storage asset that earns revenue from arbitrage, peak shaving, and ancillary services will have economics that change materially with cycles per year, round-trip efficiency, charging price, and the probability of curtailment or congestion. This dashboard puts those assumptions at the center, because serious investors model the world in scenarios.

The backbone metrics used across the industry are levelized costs: LCOE for generation, LCOS for storage, and LCOH for hydrogen. These are not perfect metrics, and no sophisticated investor uses them alone. However, they are indispensable for screening, for comparing technology pathways, and for communicating investment theses. LCOE summarizes the long-run cost per unit of electricity when capital is recovered through a discount rate. LCOS converts storage CAPEX, operating costs, and charging losses into a comparable cost per unit of discharged energy. LCOH extends that concept to hydrogen, which sits at the intersection of electricity prices, electrolyzer utilization, and capital costs.

A Bloomberg-style workflow is simple: start with a market snapshot, then drill into the drivers. The ticker cards at the top of this page give you a fast read on where your scenario sits today. From there, the sensitivity charts show what actually moves the needle. For example, LCOE is often most sensitive to the discount rate and capacity factor; in many markets, the difference between a bankable and an unbankable project is not the module cost but the weighted average cost of capital. LCOS, by contrast, can swing dramatically with electricity price spreads and utilization. A battery that cycles 300 times per year has a different role than one that cycles 700 times; the first is typically a resilience and peak-shaving asset, while the second may be optimized for market participation.

Hydrogen introduces another investor reality: utilization is everything. A low-capacity-factor electrolyzer will look expensive even with strong CAPEX assumptions, while high utilization can unlock cost compression—if electricity supply is abundant and low-cost. That is why the dashboard expresses LCOH directly as a function of electricity consumption per kilogram and operating hours. If your investment thesis is about industrial decarbonization, ammonia, or hydrogen blending, this framing helps you compare projects without hiding the operational fundamentals.

The reason we keep the methodology transparent is trust. Market intelligence platforms earn their authority by being auditable. When a model is a black box, investors cannot defend it in committee, and analysts cannot reconcile it with published benchmarks. Here, the math is standardized and the assumptions are explicit, enabling you to align this dashboard with any dataset you prefer. If you want your baseline to match a specific technology report or your internal investment memo, you can simply calibrate CAPEX, O&M, capacity factor, utilization, and discount rate to your chosen reference.

This dashboard also exists to connect the rest of the platform. If you are studying grid stability and market risk, jump to the Global Reliability Index and compare your target countries. If you want storage economics at the level of a dedicated model, use the LCOS Calculator and explore cycle assumptions and charging costs in more detail. If you are comparing generation pathways, open the LCOE Calculator and benchmark technologies under consistent financing. For broader context, related articles such as battery storage & grid stability and the future of smart grids provide the strategic layer behind the numbers.

For investors, the energy transition is not a single market—it is a portfolio of markets: solar and wind development, storage buildouts, transmission upgrades, electrification of industry, and emerging hydrogen value chains. Each market has its own risk profile and its own sensitivity to macro factors. Interest rates change the capital recovery factor, and therefore levelized costs. Commodity cycles can influence CAPEX through equipment and supply chains. Policy can reshape revenue certainty through auctions, tariffs, and offtake guarantees. The right way to build conviction is to stress-test assumptions and to keep a consistent benchmark language across opportunities. That is what this Market Dashboard is built to deliver.

The next step after benchmarking is execution: project screening, due diligence, and structured decision-making. Use this page to create a baseline scenario and export it, then iterate. Build a conservative downside case with higher WACC and lower utilization. Model an upside case with improved capacity factors or cheaper charging energy. As you refine assumptions, your conclusions become more defensible and your investment thesis becomes sharper. In an environment where markets move fast and narratives shift daily, disciplined scenario analysis is the edge.

This platform is built for compounding advantage. Each new tool you add becomes another node in the internal link graph and another lens on the same underlying reality: the economics of decarbonization. Over time, the most valuable asset is not a single calculator, but a coherent suite of dashboards that investors return to because it is faster, clearer, and more actionable than reading ten separate reports. Keep the workflow tight: snapshot, drivers, scenarios, export, and decision.