Technical publication · Circular manufacturing and transparent business value
Enzymatic PET Recycling Techno-Economic Analysis: A Public-Evidence Modeling Blueprint
Short answer. A defensible enzymatic PET recycling TEA keeps feed PET fraction, availability, depolymerization conversion, separate rTPA and rMEG recoveries, residence time, solids loading, utilities, capital, prices and uncertainty visible. This worked screen closes PET hydrolysis stoichiometry, sizes reactor inventory and heating duty, then tests whether buying a reusable process model creates evidenced value rather than assumed savings.
Independent public-evidence screening blueprint. Public process architecture is separated from literature results, synthetic assumptions and calculated outputs.01
Research and decision question
Which uncertainties control the economic gate—and when does the model itself fail to pay back?
Decision question
At a publicly disclosed 50,000 t y−1 PET-waste nameplate, which combinations of feed PET fraction, availability, conversion, monomer recovery, residence time, solids loading, utilities and price assumptions determine whether an enzymatic PET-recycling concept clears a transparent economic gate? The second gate asks whether a governed reusable model merits its first-year implementation and adoption cost.
Gate-to-gate boundary
The boundary starts with PET-waste receipt at the modeled plant gate and ends with purified rPTA and rMEG in product storage. It includes internal recycle, wastewater, residues, consumables and onsite utilities. Collection before the gate, downstream repolymerization, product use and end-of-life are excluded unless a separate scenario expands the boundary.
What the answer can support
This is a screening model for comparing explicit scenarios and locating evidence gaps. It cannot support final investment, financing, procurement, environmental, safety, permitting or plant-performance decisions without authorized feed, kinetic, equipment, utility, cost, product-quality, schedule and site evidence.
Wastewater, purge, non-PET residue, heat recovery, electricity, thermal utility, cooling and cleaning remain explicit side streams. A practical Acatian structure can use implemented generic operations—grinder, washer/mixer, heat exchanger, configurable reaction vessel, microfilter or rotary filter, crystallizer, filter dryer, distillation and hold tanks—without claiming a proprietary CARBIOS flowsheet or file compatibility.
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Public evidence and data provenance
One public process description does not become an open engineering package
Public company statements
CARBIOS publicly describes feed shredding, melting and expanded granulation; enzymatic depolymerization in water; filtration and activated-carbon treatment; and separation of rPTA and rMEG. Its technology page states a planned 50,000 t y−1 PET-waste capacity [1]. A 24 September 2026 company release said project financing and due diligence remained underway, so this article makes no commissioning claim [2].
Experimental evidence
Tournier and colleagues reported at least 90% depolymerization over 10 h for their tested system at 200 g PET kg−1 suspension and 3 mg enzyme g−1 PET [3]. Those measurements are valid for that substrate, enzyme and experimental condition—not a transferable industrial guarantee.
Independent process models
Singh and colleagues modeled feed preparation, amorphization, hydrolysis and monomer recovery [4]. Murphy and colleagues evaluated a different fed-batch, pH-control and recovery route [5]. Their economics belong to their declared configurations and geographies; neither is transplanted into this example.
Data classAllowed useRequired discipline
Public company statementProcess architecture, planned nameplate and dated project statusAttribute it; do not infer actual performance
Measured literature valueExperimental result inside its stated systemRetain substrate, enzyme and condition boundary
Literature model resultBoundary and sensitivity precedentDo not present it as measurement or transfer its economics
Synthetic assumptionReproducible demonstration onlyNever label it customer or plant evidence
User / project inputAuthorized real-decision evidenceRecord owner, version, validity and acceptance
Calculated screening outputEquation result from declared inputsReport sensitivity and decision limits
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Nomenclature, balances and economic boundary
Separate reaction conversion, isolated recovery and annual availability
SymbolMeaningSI unit
MN, A, wPETWaste nameplate, annual availability and received-waste PET fractionkg y−1; fraction; kg kg−1
X, ηTPA, ηEGDepolymerization conversion and isolated monomer recoveriesfraction
τ, ws, ρsResidence-time proxy, PET solids fraction and slurry densityh; kg kg−1; kg m−3
Use molecular weights 192.17, 166.13, 62.07 and 36.03 kg kmol−1 for the PET repeat unit, TPA, EG and two water molecules. Product mass legitimately includes incorporated water.
Higher solids can offset longer residence time—but it does not prove a better process
Shared basis. The only company-specific number used is the publicly stated planned 50,000 t y−1 PET-waste nameplate. The synthetic screen uses 8,000 scheduled h y−1, 85% availability (6,800 running h y−1 for annual output), 90 wt% PET, 1,050 kg m−3 slurry, 20→65 °C, cp = 4.0 kJ kg−1 K−1, and 150 m³ gross vessels at 85% working fill. Instantaneous design flow is nameplate divided by 8,000 scheduled hours; availability reduces annual accepted mass, not that design flow.
The alternative produces 3,341.75 t y−1 more isolated monomers in this arithmetic screen, an 8.73% increase over Base, because its synthetic conversion and recoveries are higher. That is not a prediction. The same 642.86 m³ inventory occurs only because 50% longer residence time is exactly offset by 50% higher solids.
Required sensitivity surface
Vary PET fraction 0.75–0.95, availability 0.70–0.92, conversion 0.80–0.97, TPA and EG recovery independently, and solids jointly with residence time. Then test feed price or gate fee, enzyme, pH reagents, pretreatment power/heat, EG recovery energy, product quality/price, FCI, ramp, working capital, rate and project life.
What is deliberately absent
No plant NPV, IRR or cost per kilogram is reported because public information does not establish site capital, enzyme price/lifetime, actual utilities, recovery duties, product contracts, ramp, financing or allocation. A transparent blank is more decision-useful than a false point estimate.
DriverLowBaseHighDecision output
Received-waste PET fraction0.750.900.95Accepted PET, non-PET residue and monomer output
Availability0.700.850.92Annual output and fixed-cost absorption
These are independent synthetic sensitivity ranges: Low and High mean the lower and upper numerical values, not combined favorable and adverse cases. They are not a ranked tornado result. Load authorized costs and product assumptions first; then report the threshold at which gross margin changes sign and rank drivers on the same currency-year basis.
Count capacity, cash, avoided cost, throughput and opportunity value separately
This second model asks whether a recycler, engineering office, consultant or project developer should pay for and adopt a reusable process model. It does not value CARBIOS, predict a customer result or guarantee savings. The first-year cost boundary is subscription plus data preparation, model build, training/adoption, validation, external integration and maintenance. The live Acatian order page listed Professional at €590 per month on 3 October 2026; the synthetic first-year planning input is therefore €590 × 12 = €7,080 y−1. Reconfirm the commercial terms at checkout.
Capacity value · SW-01
Bcapacity = Hdisplacedr freusea. This is engineering capacity, not cash. It has value only when a timestamped baseline shows the displaced task and the released capacity is productively reassigned.
First-year cost · SW-02
Cyear1 = subscription + r(Hdata + Hbuild + Htraining + Hvalidation) + external integration + maintenance. Training is an adoption cost; data, build and validation are implementation costs.
Other value · SW-03–06
Actual cash saving requires eliminated paid spend. Avoided cost is probability-weighted expected value, not booked cash. Throughput value requires accepted incremental product and contribution margin. Opportunity value is shown separately and excluded from hard ROI unless finance approves its conversion.
Input or resultLowBaseHigh
Gross displaced hours / rate80 h / €75 h−1280 h / €90 h−1600 h / €110 h−1
*Every value is synthetic. The High cash-saving input may be counted only after an invoice, purchase order or contractor spend is actually eliminated. Avoided-cost inputs require approved probabilities, consequence cost and attribution. Without Base's €5,000 avoided-cost hypothesis, Base is negative at −€4,992. Low needs 1,072 gross displaced hours—not attributed effective hours—to break even under its other assumptions. High is already above its synthetic cost only because conditional cash and avoided-cost inputs exceed that cost; remove them before relying on a zero-hour threshold.
Value gate · SW-07 to SW-10Net = Bcapacity + Bcash + Bavoided + Bthroughput − Cyear1; ROI = Net/Cyear1
Gross break-even displaced hours = max[0, (Cyear1 − other verified benefits)/(r freusea)]. Opportunity value remains outside this hard ROI. Synthetic examples are not customer outcomes or guarantees.
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Attribution and realization evidence
A spreadsheet benefit becomes real only after the counterfactual and ledger agree
Before implementation
Pre-approve the decision, system boundary and prior workflow
Timestamp the baseline task effort, scope and acceptance criteria
Name the data, model, validation, procurement and finance owners
Record subscription, implementation, adoption, integration and maintenance cost
During use
Version the model, input dataset, scenario, reviewer and result hash
Log which model output was used in the signed decision record
Track displaced work and the valuable work that actually received capacity
Keep adoption metrics such as logins or scenario count out of financial benefits
After the decision
Use finance evidence for eliminated paid spend
Require accepted production and sales evidence for throughput value
Approve probability, consequence and attribution for avoided cost
Review at 30, 90 and 180 days; reverse benefits that were not sustained
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Limitations and practical checklist
Replace synthetic inputs with decision-owned evidence before advancing the gate
Missing process evidence
Feed contracts, composition, moisture, contamination and variability
Enzyme identity, dose, lifetime, price and supply terms
Crystallinity, particle morphology, kinetics, rheology and mixing
pH control, reagents, salt, recycle, purge and cleaning strategy
Separation yields, monomer quality, utilities and waste destinations
Missing project evidence
Vendor quotations, contingency, construction and ramp
Maintenance, staffing, uptime and site-utility data
Product contracts, off-spec policy and allocation
Working capital, financing, tax, depreciation and currency year
Permits, emissions, residue classification and approved LCA method
Model limitations
The reactor and heating screens omit mixing, rheology, fouling, heat recovery, losses, reaction heat, cleaning and hydraulic constraints. The public nameplate proves neither throughput nor economics. Literature performance is not an industrial guarantee. TEA changes with location, configuration, allocation, prices, financing and ramp. The result is neither a statement about an actual CARBIOS facility nor a recommendation to CARBIOS.
Balance gateReconcile PET repeat unit, incorporated water, TPA, EG, unreacted PET, non-PET residue, recycle and purge.
Capacity gatePair solids and residence time; verify rheology, mixing, heat transfer, filtration, cleaning, maintenance and schedule.
Economic gateUse one currency year and boundary; show low/base/high, threshold and tornado results rather than one deterministic cost.
What does an enzymatic PET recycling techno-economic analysis need to include?
Define feed composition, pretreatment, enzyme and hydrolysis assumptions, separate TPA and EG recovery, utilities, residues, uptime, equipment, capital, operating cost, price basis, allocation, uncertainty and the evidence required for each input.
Can the public 50,000 tonne per year CARBIOS nameplate be treated as achieved production?
No. It is a publicly stated planned PET-waste capacity and is used here only to normalize a synthetic screening example. It is not evidence of achieved throughput, availability, yield or economics.
Why can recovered TPA and EG weigh more than the reacted PET?
Hydrolysis incorporates water. One PET repeat unit consumes two water molecules to form one TPA and one EG molecule, so a correct mass balance includes the added water mass.
Is a company-reported less-than-24-hour duration comparable with 10-hour and 50-hour research results?
No. The company statement and the separate experimental or modeled studies use different substrates, enzyme systems, solids conditions, configurations and objectives. Each statement is valid only inside its own evidence boundary.
Does displaced engineering time equal cash savings?
No. It is engineering-capacity value unless payroll or paid external spend actually falls. Productive reassignment, realization and attribution must be evidenced separately.
Does this model describe the actual CARBIOS plant?
No. It is an independent screening blueprint based on public process architecture and synthetic assumptions. It contains no confidential plant data and is not a recommendation to CARBIOS.
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Primary sources
Current company disclosures and original peer-reviewed research
[1]
CARBIOS. PET biorecycling technology. Current official process description and planned capacity; accessed 3 October 2026. Official company source.
[2]
CARBIOS. CARBIOS reports first-half 2026 results. 24 September 2026. Current public project-financing and due-diligence status. Official company release.
[3]
Tournier V et al. An engineered PET depolymerase to break down and recycle plastic bottles. Nature. 2020;580:216–219. doi:10.1038/s41586-020-2149-4.
[4]
Singh A et al. Techno-economic, life-cycle, and socioeconomic impact analysis of enzymatic recycling of poly(ethylene terephthalate). Joule. 2021;5:2479–2503. doi:10.1016/j.joule.2021.06.015.
[5]
Murphy NP et al. Process innovations to enable viable enzymatic poly(ethylene terephthalate) recycling. Nature Chemical Engineering. 2025;2:309–320. doi:10.1038/s44286-025-00212-y.