What this tool does

The Kuva ROI Calculator is a self-contained, browser-based financial model. It takes program inputs — pricing, site count, commodity prices, labor rates — and combines them with a configurable library of value drivers to produce a defensible annual ROI, a MAC/portfolio comparison, and a multi-year NPV comparison between renting and purchasing equipment.

Everything runs locally in the browser. There is no server, no login, and no data sent anywhere. All state is stored in browser localStorage, so values persist between sessions on the same device.

Getting started

Open the .html file in any modern browser (Chrome, Edge, Firefox, Safari). No installation required.

Recommended first-run sequence

1. Enter the customer name in the Account / Customer field in the header.
2. Go to the Inputs tab and adjust pricing, site count, and commodity assumptions to match the account.
3. Go to Use Case Model and tune the value drivers relevant to the customer's operations — adjust Events, Probability, and Cost Metric per row.
4. Review the Dashboard to confirm outputs make sense.
5. Use MAC / Portfolio to benchmark Kuva against other abatement options if relevant.
6. Open Rental vs Purchase NPV if a procurement decision is in scope.
7. Click ▶ Create Summary on the Summary Report tab to generate a shareable report.
8. Click Save as New Defaults to lock in your starting point for this account or territory.

The seven tabs

Data flows from Inputs and Use Case Model into all other tabs. Changes update every tab instantly — there is no recalculate button.

Dashboard

The primary view. Shows KPI cards (Total annual savings, First-year program cost, Net value, First-year ROI multiple, Payback period, Hard vs Soft split), a value waterfall by category, and a scenario sensitivity table. View-only — no inputs live here.

Inputs

The single source of truth for all pricing, rate, and commodity assumptions. Every value here is referenced by the Use Case Model and NPV analysis. Edit directly in the table cells.

Use Case Model

Where individual value drivers are defined and tuned. Each row represents one type of value the Kuva program can generate. The tool ships with 19 pre-loaded drivers across four categories.

Columns

• Category — Hard Dollar, Risk Avoidance, Strategic, or Operational. Used for waterfall grouping on the Dashboard.
• Value Driver — Name of the driver. Three driver names trigger automatic cost lookup: names containing "truck roll" use the truck roll rate from Inputs; "faster root cause" uses 4 hrs engineer + 2 hrs technician; "reduced contractor dependence" uses 8 hrs each. All other rows use the Cost Metric column directly.
• Events — How many times per year this event is expected to occur.
• Probability (0.1–1) — Likelihood that Kuva captures or prevents the event. Also used directly in the cost calculation — it is baked into the Effective Cost column.
• Cost Metric ($) — Dollar value per event before probability weighting.
• Effective Cost (×Prob) — Read-only. Cost Metric × Probability. This is the per-event value used in the savings calculation.
• Hard/Soft — Hard = auditable, directly tied to cost or revenue. Soft = strategic or risk-based, subject to the soft-benefit haircut from Inputs.
• CH₄ kg/yr — Annual methane volume for this driver. Used to calculate recovered gas value and optional CO₂e value.
• CO₂e Value — Read-only. Calculated carbon value based on CH₄ kg, GWP, CO₂e price, and confidence from Inputs.
• Annual Benefit ($) — Read-only. Total annual value for this row. See Section 4 for the exact formula.

MAC / Portfolio

Benchmarks Kuva against other abatement initiatives using a McKinsey-style Marginal Abatement Cost (MAC) curve. The Kuva Monitoring row is calculated automatically from the ROI model — total annual savings ÷ avoided tCO₂e. All other rows (pneumatic replacement, VRU optimization, tank controls, compressor upgrades, etc.) are editable placeholders for customer- or portfolio-specific values.

The chart orders initiatives from lowest to highest marginal cost. Width = emissions reduction (tCO₂e/yr). Height = cost per tonne. Bars below zero are value-positive — cost of abatement is more than offset by value created.

ROI Story

A summary view showing Hard dollar savings, Soft/risk-weighted savings, and total avoided emissions alongside a snapshot table of value drivers ranked by contribution. Useful for a narrative-style customer presentation where you want to walk through the value story category by category before showing full detail.

Rental vs Purchase NPV

Compares renting vs purchasing equipment over the analysis term. Shows NPV of benefits, NPV of costs under each model, net NPV, ROI multiple, ROI%, and payback. The "Better option" KPI card highlights which model produces the higher net NPV. See Section 5 for how NPV is calculated.

Summary Report

Generates a formatted, print-ready report including account name, generation date, executive takeaway, KPI table, sensitivity analysis, top value drivers, value waterfall, and a full assumptions table.

• ▶ Generate Report — builds the report from current model state
• ↺ Refresh — re-runs after input changes
• 🖨 Print / PDF — use browser Print → Save as PDF; set margins to Minimum and enable background graphics
• 📋 Copy HTML — copies report markup for embedding elsewhere

How savings are calculated

Each use case row produces an annual savings figure. The three components — base operational value, recovered gas value, and optional CO₂e value — are summed, then a soft-benefit haircut is applied to Soft rows.

Effective Cost column

The Effective Cost column shows Cost Metric × Probability for each row. This is the probability-weighted per-event value used in the base calculation. It is read-only and updates automatically as you change Cost Metric or Probability.

Driver name overrides

Three driver names trigger automatic cost calculation instead of using Cost Metric directly:

• Contains "truck roll" → uses Default Truck Roll Cost from Inputs
• Contains "faster root cause" → Engineer rate × 4 hrs + Technician rate × 2 hrs
• Contains "reduced contractor dependence" → Engineer rate × 8 hrs + Technician rate × 8 hrs

Total annual savings

How NPV is calculated

Net Present Value adjusts future cash flows to today's dollars using a discount rate (WACC). This accounts for the time value of money — a dollar saved next year is worth less than a dollar saved today.

How carbon value is calculated

Carbon value is optional and defaults to $0 unless you set a CO₂e price per tonne in Inputs. It monetizes methane emissions avoided by the Kuva program.

Scope control

The "Apply carbon value to" setting in Inputs controls which rows receive carbon value: All (every row with CH₄ kg), Hard only, or Soft only.

Typical carbon price inputs

Scenarios: Conservative, Expected, Aggressive

Scenarios apply a multiplier to Total Annual Savings. They do not change costs. Multipliers are editable in the Control section of Inputs.

Saving, exporting, and resetting

Every edit auto-saves to localStorage. The timestamp in the header shows when you last saved. Values persist between sessions on the same machine and browser.

Tips for customer-facing use

Before the meeting

• Pre-load the account's site count, known gas price, and confirmed use cases.
• Zero out drivers not relevant to this customer's operations.
• Set CO₂e price to $0 unless the customer has an active carbon program or fee exposure.
• Export JSON as a backup before going live.

During the meeting

• Work from the Expected scenario. Introduce Conservative/Aggressive only if asked.
• Use Probability as a live dial — lower it in real time if the customer pushes back on a use case.
• The Dashboard waterfall shows which categories drive the most value — let the customer react to the breakdown.
• Use MAC / Portfolio to show how Kuva compares to capital-intensive abatement options.
• For OpEx vs CapEx conversations, switch to Rental vs Purchase NPV and walk through net NPV side by side.

After the meeting

• Generate the Summary Report and save as PDF for the follow-up email.
• Export JSON and store it with the account record — it is a full audit trail of the assumptions used.
• Use Save as New Defaults if this account's profile should become your go-forward starting point for similar accounts.

Common mistakes to avoid

• Leaving CO₂e price non-zero when the customer has no carbon program — it inflates numbers in ways that are hard to defend.
• Leaving all 19 use cases at full default values — tune to the specific account before presenting.
• Not adjusting site count — the model scales linearly. A 10-site customer entered as 1 site produces a 10× underestimate.
• Confusing Probability with event frequency — Probability is your estimate of how often Kuva successfully captures or prevents the event, not whether the event happens at all.