▸ Open Process Automation · 25-Year Lifecycle Financial Model

DCS vs OPA ROI

Full lifecycle cash-flow comparison. Model captures cost reductions and the production value of advanced control applications that only become possible under OPA — energy efficiency, quality give-away reduction, and throughput gains. Built from OPAF, Control Engineering, and ARC Advisory benchmarks.

▸ Industry Preset

Refining defaults loaded

▸ Financial ParametersMOD-01

Analysis Horizon25 years

25 yrs captures one full DCS lifecycle · range: 20–30 [1][4]

Discount Rate (Hurdle Rate)8.0%

Corporate WACC · typical industrial range 7–12% real [3][4][5]

▸ Production BaselineMOD-02

Annual Production (units/yr)500,000

Tons, barrels, batches — use your primary throughput unit

Margin per Unit$42

Contribution margin · used to value yield and throughput gains

Quality Give-Away Cost ($/yr)$840,000

Annual cost of running conservatively from spec limits — over-quality, yield loss to lower-value streams, reprocessing. Typical: 1–3% of revenue.

Annual Energy Cost$2,400,000

Total process energy cost (electricity, gas, steam)

▸ DCS Baseline CostsMOD-03

Annual DCS Maintenance & Support$480,000

Vendor contracts, software licenses, support

DCS-Related Downtime Cost/yr$1,200,000

Unplanned downtime hrs × lost margin/hr — from maintenance logs [2]

Hardware Refresh (amortized/yr)$320,000

Proprietary I/O, controllers, HMI — amortized over replacement cycle

Planned DCS Capex Event (yr 12)$4,200,000

Forced proprietary migration at obsolescence — every 12–15 yrs [4][5]

Number of Controllers24

Drives OPA migration capex estimate at $60K/controller [1][5]

Migration Phases3 phases

Capex and benefits distributed evenly across this many years · phased migrations typically improve payback vs single cutover

▸ Phase schedule: —

▸ Advanced Control Apps (OPA-Only)MOD-04

▸ What This Block Models

These benefits are impossible on legacy DCS — they only accrue under OPA's open architecture. Set δ = 0 for any channel not applicable to your process. The model keeps DCS values at zero for each channel, so the full delta flows to incremental NPV.

B_OPA_adv = B_energy + B_quality + B_throughput
B_DCS_adv = 0 (by definition)

δ Energy: Reduction in energy/unit4.0%

Tighter setpoint control via MPC/APC reduces energy intensity · typical: 3–8% [5][1][2]

δ Quality: Reduction in give-away cost25.0%

MPC/APC tightens control around setpoints → less conservative operation, reduced product to lower-value streams · APC studies: 20–50% give-away reduction [2][3][5]

δ Throughput: Increase in production1.5%

Running closer to constraints, shorter transitions · typical: 1–3% [3][5][1]

Ramp-up: Years until full benefit3 years

Advanced apps ramp linearly to full value over this period

Adv. Apps Yr-1 Benefit

—

At ramp fraction in Year 1

Adv. Apps Full Annual

—

At 100% ramp (steady state)

▸ OPA Infrastructure SavingsMOD-05

▸ Cost Structure Reductions

These flow from OPA's open hardware/software architecture — no headcount change assumed. Values from Control Engineering cost analysis [1] and OPA Forum benchmarks.

β Maintenance cost reduction50%

Open supplier base, modular upgrades, no forced obsolescence · range: 25–60% [1][5]

γ Downtime reduction35%

Faster patching, better diagnostics, modular interventions · range: 20–50% [1][2]

α Hardware cost reduction45%

Commodity compute + open I/O vs proprietary bundles · range: 35–55% [1]

▸ Live SummaryPREVIEW

▸ Incremental NPV of OPA vs DCS

—

IRR

—

vs hurdle rate

Payback

—

Years to positive

25-yr TCO Save

—

Undiscounted

Year-1 OPA Benefit Split—

Maintenance savings

Downtime reduction

Hardware savings

Advanced apps

Site-specific OPA readiness assessmentFree 45-min session · CSI · Boulder, CO

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▸ Financial Analysis Output

Results & NPV

▸ Financial Metrics

▸ Incremental NPV (OPA vs DCS)

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IRR

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Internal rate of return

Payback

—

Years to breakeven

ROI

—

On migration investment

DCS TCO

—

25yr undiscounted

OPA TCO

—

25yr undiscounted

TCO Reduction

—

vs DCS baseline

▸ 25-Year TCO Breakdown

Category	DCS	OPA	Saving

▸ Cost-Per-Unit (Discounted)

DCS $/unit

—

Discounted TCO ÷ disc. production

OPA $/unit

—

Discounted TCO ÷ disc. production

▸ Cumulative Cash Flow Advantage

DCS cumul. cost

OPA cumul. cost

Net OPA advantage

▸ Annual Benefit Sources (Year 1)

▸ Year-by-Year Model

Annual Cash Flows

ΔCF = CF_OPA − CF_DCS per year. Positive = OPA saves vs DCS that year. ★ marks payback year. Green rows = cumulative advantage is positive.

Yr	DCS Opex	DCS Capex	DCS CF	OPA Opex	OPA Capex	OPA Adv.	OPA CF	Δ Annual	Δ Cumul.	Disc. PV

▸ Model Transparency

Assumptions & Sources

Every benchmark value is cited. Replace with site-specific data for a defensible capital committee presentation. The model separates infrastructure savings (well-documented in OPA literature) from advanced-app benefits (process-specific — set δ = 0 to exclude).

OPA hardware + software vs DCS

~52% savings

[1] Control Engineering — O-PAS OPA vs DCS for comparable scope

Total project cost incl. integration

~10% lower initially

[1] Expected to improve as OPA ecosystem matures

25-yr lifecycle cost savings

~47–50%

[1] Decoupled I/O, lower rip-and-replace frequency

25-yr savings incl. downtime

60–70%

[1] At least one full OPA cost study with downtime impact

Annual maintenance cost reduction

50% (range: 25–60%)

[1][5] Open supplier base, no forced obsolescence cycles

Downtime reduction

35% (range: 20–50%)

[1][2] Faster patching, modular interventions, better diagnostics

Hardware cost reduction (open vs proprietary)

45% (range: 35–55%)

[1] Commodity compute + open I/O vs proprietary bundles

OPA migration capex per controller

$60K (range: $40K–$80K)

[1][5] Engineering, config, testing, commissioning

DCS forced migration cycle

Every 12–15 years

[4] Honeywell lifecycle perspective — obsolescence-driven

OPA compute refresh (IT-aligned)

Every 7 years · 15% of migration cost

[1] Field I/O and wiring preserved; only compute refreshed

Energy reduction via MPC/APC (δ_energy)

3–8% reduction in energy/unit

[5][1][2] Tighter setpoint control, reduced variability, lower energy intensity

Quality give-away reduction via APC (δ_quality)

20–50% give-away reduction

[2][3][5] MPC tightens variability around setpoints → less conservative operation, reduced flow to lower-value streams

Throughput gain (δ_thru)

1–3% production increase

[3][5][1] Running closer to constraints, shorter grade transitions, reduced cycle time

Advanced apps ramp-up period

1–5 years (linear ramp)

Conservative — assumes phased commissioning of new control applications

▸ Cited Sources

[1] "New cost analysis: Open process automation saves 52% versus DCS" — Control Engineering. controleng.com
[2] "How Can Companies Measure ROI of Distributed Control Systems" — Flevy / ARC Advisory Group.
[3] "A Framework for Estimating ROI of Automated Internal Controls" — ISACA Journal. NPV/IRR methodology.
[4] "DCS modernization demands lifecycle perspective" — Honeywell Process Solutions. process.honeywell.com
[5] "Modernize Your DCS System: Improve Efficiency, Security and ROI" — ABB. new.abb.com
[6] "5 ways open automation principles promote responsible profitability" — Schneider Electric. blog.se.com

Calculator for planning purposes only. Not a formal engineering estimate. Actual results depend on facility scope, integration complexity, and market conditions. © Collaborative Systems Integration · Boulder, CO · csi-automation.com

▸ Two-Variable Sensitivity Analysis

Sensitivity Table

NPV varies as discount rate and migration cost per controller change. Green = strongly positive NPV. White = marginal. Red = negative NPV. The highlighted cell reflects your current inputs.

▸ NPV vs Discount Rate & Cost/ControllerTABLE A

▸ Payback (yrs) vs Discount Rate & Cost/ControllerTABLE B

▸ NPV vs Maintenance Reduction & Downtime ReductionTABLE C

▸ How to Read This

Each cell shows NPV at that combination of assumptions, holding all other inputs constant at your current values. The highlighted cell is your base case. Table A and B test financial and cost assumptions — what a CFO will stress-test. Table C tests the OPA benefit benchmarks — what a skeptical engineer will question. If NPV stays green across the full range, you have a robust case.

▸ Environmental & ESG Impact

CO₂ & ESG

Energy reduction from MPC/APC tighter control translates directly to Scope 1 and Scope 2 emissions reduction. Increasingly required for ESG reporting and a growing factor in capital committee decisions at large industrials.

▸ Emissions ParametersMOD-CO2

Grid Emissions Factor0.386 kg CO₂/kWh

US average: 0.386 · Natural gas grid: 0.20 · Coal-heavy: 0.65–0.90 · ERCOT/WECC varies · Source: EPA eGRID

Energy as % of Cost that is Electricity60%

Portion of energy cost that is grid electricity (vs. steam, gas, fuel oil)

Electricity Unit Cost ($/kWh)$0.085

Industrial rate · US average ~$0.085 · varies significantly by region and contract

Internal Carbon Price ($/tonne CO₂)$50

Your internal carbon cost or shadow price · EU ETS ~€60–80 · US voluntary ~$15–50 · Set 0 to exclude from NPV

▸ CO₂ Reduction Output

▸ Annual CO₂ Avoided (Scope 2)

—

tonnes CO₂e per year at full OPA benefit

25-yr CO₂ Avoided

—

Cumulative tonnes CO₂e

Carbon Value (NPV)

—

At internal carbon price

Equivalent Cars/yr

—

Passenger vehicles off road

Energy Saved (kWh/yr)

—

Annual electricity reduction

Intensity Reduction

—

vs baseline energy cost

▸ 25-Year CO₂ Reduction Profile

Annual CO₂ avoided (tonnes)

Cumulative CO₂ avoided (tonnes)

▸ ESG Reporting Context

This analysis covers Scope 2 emissions (purchased electricity). For a full ESG picture, also consider:

▸ Scope 1 — process fuel (gas, oil) if MPC reduces furnace firing

▸ Scope 3 — upstream feedstock efficiency from yield improvement

▸ GHG Protocol — OPA enables real-time emissions monitoring vs. periodic sampling

▸ SEC Climate Rule — Scope 1 & 2 disclosure requirements for large accelerated filers

▸ ISO 50001 — OPA architecture supports energy management system certification

Carbon price used in NPV calculation reflects internal cost of carbon only — does not include regulatory carbon costs or trading revenue, which should be modeled separately.

▸ Side-by-Side Analysis

Scenario Compare

Lock your base case and adjust a second scenario to see the range. Conservative vs Base vs Aggressive — the framing capital committees expect.

▸ Scenario Comparison Table

▸ NPV Comparison

▸ Visual Milestone Map

Payback Timeline

A swimlane view of the migration journey — from first phase through breakeven to full ROI realization. Ready to drop into a slide deck.

▸ Migration & ROI Milestones

▸ Annual Δ Cash Flow

▸ Reverse Calculation

What Would It Take

Flip the model. Set your required NPV or payback target and find the minimum OPA benefit assumptions needed to hit it. The CFO's question answered directly.

▸ TargetSET GOAL

Solve For

Target NPV$5,000,000

Vary Which Assumption?

▸ Solver Result

▸ Required Value to Hit Target

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Current Value

—

Your base case input

Gap

—

Additional improvement needed