Turn early-stage site data into decision-grade feasibility and yield confidence. Defensible assumptions, constraint mapping, and go/no-go clarity built for permitting, grid steps, EPC design, and financing.
Resource and feasibility work is where projects either become real or quietly fail later through rework, grid surprises, or weak yield assumptions. MetRenew quantifies resource strength and uncertainty, validates site constraints, and converts early inputs into bankable logic: yield drivers, layout and access realities, early CAPEX/OPEX signals, and development risks. The output is a clean feasibility narrative teams can defend with partners, lenders, and internal investment committees so the next steps (permits, interconnection, EPC) run faster and with fewer surprises.
We evaluate resource quality and variability using appropriate datasets and on-site measurement strategy (as needed). Data is cleaned, cross-checked, and normalized so resource assumptions are transparent, traceable, and defensible reducing the risk of optimistic inputs that collapse during diligence.
We build yield estimates with clear loss-factor logic (soiling, availability, curtailment risk, degradation, wake/terrain effects where relevant). Outputs are structured for investment committees and independent review, with uncertainty ranges that support P50/P90 narratives and financing discussions.
We map build constraints early topography, geotechnical red flags, drainage/flood risk signals, right-of-way and access, setbacks, and constructability blockers. This reduces late-stage redesign, protects schedule realism, and prevents “paper sites” that fail once EPC mobilizes.
We translate feasibility into economic reality major cost drivers, BOS sensitivity, logistics constraints, and O&M implications. The goal is not false precision; it’s decision-grade economics that flags what will move LCOE and what must be validated before investment.
We produce a compact feasibility pack: key assumptions, risk register, critical unknowns, and a prioritized validation plan. Teams leave with a practical sequencing roadmap across land, permits, grid steps, and EPC inputs so development effort is spent in the right order.
Rank sites quickly using resource strength, constraint severity, access feasibility, and early economics. Outcome: fewer dead-end sites, faster shortlisting, and a pipeline you can defend with investors and boards.
Validate yield and constructability before spending heavily on applications and studies. Outcome: fewer redesign cycles, clearer grid and permitting inputs, and a realistic schedule that survives stakeholder scrutiny.
Test sizing logic and constraints across technologies land, evacuation, ramping, clipping, and duty cycles. Outcome: coherent hybrid sizing assumptions that carry forward into EPC design and financial modeling.
Assess power strategy, site logic, resource signals, and early constraints for electrolyzer programs. Outcome: an investable pathway narrative and a validation plan aligned to infrastructure interfaces and offtake readiness.
We structure feasibility outputs so EPC design, approvals, and financing workstreams can move faster without late-stage surprises.
Transparent inputs, constraint mapping, and disciplined documentation that holds up in partner, lender, and investor conversations.
Feasibility decisions linked to delivery, finance, ESG, and operations so the project remains coherent end-to-end.
De-risk the project before you scale spend
A decision-grade view of resource strength, expected energy yield, key constraints, early cost drivers, and the critical unknowns that must be validated. The output is a feasibility pack that supports go/no-go decisions and feeds clean inputs into permitting, grid steps, EPC design, and financial models.
Yes. The feasibility logic adapts by technology: solar irradiance and losses, wind resource and wake/terrain effects, hybrid sizing and duty cycles, and hydrogen power strategy and site constraints. The intent stays constant: defensible assumptions and practical sequencing.
They express expected yield under uncertainty. P50 is the median expectation; P90 is a conservative case often relevant to lender risk appetite. Getting this wrong creates downstream issues in pricing, debt sizing, DSCR, and investment decision-making.
Yes. We can create a consistent screening framework across sites resource strength, constraints severity, constructability, grid proximity signals, and early economics so portfolio decisions are comparable and explainable to investment committees.
As early as possible. Early feasibility prevents spending in the wrong sequence, reduces redesign cycles, and improves the quality of inputs you submit to stakeholders. It’s cheaper to correct assumptions now than after applications, engineering, or procurement begins.
Site boundaries or coordinates, the intended technology concept, any available metocean/resource datasets, land and access notes, basic constraints (setbacks, environmental flags), and your decision timeline. If inputs are limited, we start with a staged approach.
Feasibility informs what permits you’ll need, what studies to prioritize, and what design constraints must be respected. It also improves grid-readiness by surfacing power system considerations early, reducing late-stage surprises and approval churn.
A compact decision pack: assumptions register, yield summary with uncertainty, constraints map, early cost drivers, risk register, and a prioritized validation/sequencing plan. It’s structured to support internal approvals and external diligence conversations.
Let’s Connect
Whether you’re evaluating a new project, strengthening feasibility, preparing for EPC execution, or building ESG readiness, we’ll help you clarify the next steps and structure the path forward with measurable delivery milestones.
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