Renewable Energy Market Assumptions — H1 2026 | Free Dataset
Originally published: 06/05/2026 19:51
Publication number: ELQ-46262-1
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Renewable Energy Market Assumptions — H1 2026 | Free Dataset

Free Excel dataset — renewable energy market assumptions for Solar PV, Wind Onshore and Offshore, BESS

Description
Stop building your models on stale numbers.
This free Excel dataset gives you validated market assumptions for 5 renewable energy technologies across 10 markets, updated H1 2026. Use it as the foundation for your own financial models, or as a benchmark to sanity-check existing analyses.


What's inside — 7 sheets:
Solar PV — CAPEX, OPEX, capacity factors and energy tariffs for utility-scale, C&I (20 kWp–3 MWp) and residential (3–20 kWp) systems. 8 markets × 3 scenarios (Conservative / Base / Aggressive).
Wind Onshore — CAPEX, OPEX, capacity factors and revenue stream rates (CfD / PPA / Merchant / Balancing). 8 markets × 3 scenarios.
Wind Offshore (Fixed-Bottom) — CAPEX, OPEX, CfD strike prices, capacity factors, gearing, interest rates and debt tenors. Includes Aggressive scenario with 2028–2030 cost reduction curve. 8 markets × 3 scenarios.
BESS (Standalone) — CAPEX per MWh, OPEX, cycle assumptions and revenue stream rates (arbitrage, ancillary services, capacity). 8 markets × 3 scenarios.
Fiscal Incentives — Corporate tax regimes for C&I and residential solar across 8 markets: Italy Iperammortamento 2026, UK AIA 100%, Germany degressive AfA 30%, USA ITC 30% + Bonus Depreciation, France dégressif, Australia IAWO + LGC, Nordic Grön Teknik. Sources cited and dated.
ℹ Info & Changelog — Full source list, methodology notes and version history.
Markets covered: Italy · Spain · UK · Germany · USA · France · Australia · Nordic · Netherlands · Taiwan
Sources: BNEF H2 2025 · WindEurope 2025 · NREL ATB 2024 · GSE · ARERA · Ofgem · Bundesnetzagentur · CRE · CNMC · AEMO · Energimyndigheten · UK CfD AR7 (Jan 2026) · MOEA Taiwan · RVO Netherlands


Who is this for:
  • Renewable energy developers and IPPs screening projects across multiple markets
  • Financial analysts and advisors building or benchmarking DCF models
  • Energy consultants advising on C&I or residential solar economics
  • Students and researchers working on renewable energy finance


Indicative benchmarks for strategic evaluation. Not investment advice. Verify with local advisers before any investment decision.

This Best Practice includes
1 Excle file

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Further information

Provide a ready-to-use reference dataset of validated market assumptions for renewable energy financial analysis — CAPEX, OPEX, capacity factors, revenue rates and fiscal incentives across 5 technologies and 10 markets. Eliminate the time spent hunting for current benchmarks from dispersed sources. All data is sourced, dated and organised by market and scenario (Conservative / Base / Aggressive) so you can plug numbers directly into your own models.

You are building or benchmarking a financial model for a solar PV, wind onshore, wind offshore, BESS or C&I/residential solar project in Italy, Spain, UK, Germany, USA, France, Australia, Nordic markets, Netherlands or Taiwan. Useful for quick screening, assumption validation, academic research or client presentations requiring cited market data.

You need a fully-built DCF model with cash flows, debt schedule, IRR and NPV — this dataset contains assumptions only, not a financial model. Also not suitable for highly site-specific analyses (e.g. offshore projects where water depth and distance from shore materially affect CAPEX) or markets outside the 10 covered.


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