Technology
Solar Revitalizer™ connects module assessment, qualified reuse, material recovery and manufacturing research. The next experimental priority is choosing useful optional tests and intake actions across unfamiliar module lots.
Can a PV-specific sequential testing policy reduce complete assessment cost across unfamiliar retired crystalline-silicon module lots, at matched routing-error and decision-coverage limits, while preserving required safety checks and outperforming efficient fixed testing and established adaptive methods?
Unclear evidence can reflect module condition, an unfamiliar module population or an unreliable capture. The proposed study investigates how those distinctions should guide the next optional measurement, stopping or specialist referral.
Required safety qualification and independent reference procedures remain separate from optional test selection.
The physical journey
From a mixed module stream to the next appropriate use. This is the broader research vision.
Intended output: qualified modules that can keep generating electricity.
Explore qualificationIntended output: qualified recovered materials and tested applications.
Explore material-to-part researchIntended output: an accountable decision with a clear evidence record.
Explore traceabilityMeasurements → route decisions → actual outcomes → better data, models and economics. Digital modeling and lifecycle evaluation connect the stages.
Investigate when an optional measurement, repeat capture or specialist referral earns its cost across unfamiliar module lots.
Inspect the testing study ↗Qualified reuse branches before destructive recovery. Condition, safety, performance and destination requirements govern eligibility.
Follow qualification and recovery ↗Recovered streams need their own characterization and application-specific trials before manufacturing, including additive manufacturing.
Explore material-to-part research ↗Inside the first research question
What is known about identity, condition and capture quality?
Could an optional measurement or repeat capture change the decision enough to justify its cost?
Update the record, end optional acquisition or seek specialist review when evidence is insufficient.
Safety and qualification follow specialist-defined requirements. Independent reference assessments evaluate the study; they remain separate from the optional-testing policy.
The experimental comparison: operator practice, efficient fixed testing and established adaptive methods at matched routing-error and decision-coverage limits.
Proposed architecture, not an operating production line. The current study tests intake decisions; recovery, material qualification and manufacturing have separate validation gates.
Candidate signals combine identity/RGB, controlled thermography, luminescence and selected electrical evidence. Record module identity, acquisition conditions and quality for each capture. Repeat measurements and physical consistency checks will test whether an apparent anomaly reflects acquisition quality or module condition.
| Method / proposed envelope | Observables | Control and reference |
|---|---|---|
| RGB / OCR: ≥12 MP camera, fixed geometry and diffuse lighting. | Nameplate confidence, technology-family cues, visible glass/frame/backsheet condition. | Record exposure and view geometry; check readable labels and repeat-capture consistency. |
| LWIR thermography: proposed 7.5–14 µm range; NETD ≤50 mK. | Hotspot count, maximum temperature differential and spatial non-uniformity. | Use repeatable excitation; record ambient conditions, emissivity assumptions and capture timing. |
| Luminescence: controlled EL capture in a dark enclosure; EL/PL may also use a specialist service. | Inactive-area fraction, crack-density proxies and interconnect-interruption cues. | Control acquisition conditions; use flat-field/contrast checks and compare repeat captures. EL and PL require their own excitation protocols. |
| Selected electrical checks: I–V, continuity and insulation evidence with qualified testing support. | Residual function and safety-relevant observations. Relevant quantities include Voc (V), Isc (A) and Pmax (W). | Log settings, illumination/stimulation and reference conditions. Qualified specialists define mandatory safety and qualification tests; only eligible additional characterization can be optional. |
| Targeted elemental confirmation: XRF for ambiguous or selected validation cases. | Elemental evidence supporting technology-family and handling decisions. | Use a defined method and reference basis; resolve conflicts with metadata and qualified specialist review. |
These proposed specifications guide instrument selection. Final choices depend on repeatability, independent reference comparisons and full acquisition cost. Required safety and qualification procedures cannot be removed to improve a policy’s cost score. For each candidate input, define the uncertainty it could resolve, relevant capture conditions and reference method, elapsed time and complete acquisition cost before choosing equipment.
Repeat-capture and calibration evidence must show that the features reflect module condition rather than acquisition artifacts.
The candidate policy would distinguish uncertain module condition from poor capture quality, then acquire another eligible test, repeat a capture, stop or refer. Investigate whether recorded conditions and cross-modal physical consistency improve those choices across unfamiliar source lots. Independent findings establish condition, function and eligibility; a recommended route also depends on downstream acceptance and costs.
| Decision | Purpose | Evidence and constraints |
|---|---|---|
| Acquire an optional test | Obtain additional evidence when its expected decision benefit justifies full acquisition cost. | Eligible measurements and information are equivalent across comparison methods; mandatory checks are outside the policy’s control. |
| Repeat a capture | Resolve a suspected acquisition problem before treating it as a module defect. | Recorded conditions, repeatability and specialist-defined cross-modal relationships; the proposed mechanism requires validation. |
| Stop or refer | Stop optional acquisition with an eligible recommendation, or refer unresolved uncertainty. | Known handling constraints trigger required review independently of confidence; stopping does not certify reuse. |
| R1 / Further reuse evaluation | Preserve the option of a second-life qualification assessment. | Structural/safety screening, residual function and a partner-informed reference rubric. |
| R2 / Material recovery | Assess a suitable disassembly or material-recovery pathway. | Condition, residual function, downstream acceptance and handling requirements. |
| R3 / Specialist review | Record separately whether review is needed because evidence is uncertain or because handling requirements are already known. | Reference findings and handling requirements remain distinct from model confidence and economic assumptions. |
h is the evidence and acquisition-quality history; k is the operating and downstream context. The proposed policy must distinguish unreliable acquisition from condition uncertainty. Required safety and qualification procedures constrain the workflow; they are not optional actions. The implementation and its advantage remain to be tested.
Optional acquisition and stopping are a separate decision layer from the route-cost expression above. In that expression, x is captured evidence; z is independently characterized condition/function; k is downstream context. L is action loss and C action cost on one scale (USD per incoming module for monetary comparison). Eligibility takes precedence. Reference findings are never defined by the preferred route.
Compare the candidate with operator rules, a cost-tuned fixed workflow and an established adaptive method at matched routing-error and automatic-decision coverage limits. Test capture-quality ablation on untouched source lots; keep uncertainty referral separate from required handling review.
A reuse candidate exits before destructive processing. Recovery candidates follow an appropriate process; recovered streams then need chemistry, contamination and application checks before formulation or manufacturing trials.
| Workstream | Question | Evidence required |
|---|---|---|
| Selective recovery / disassembly | Which process suits this module and target material? | Defined feedstock, acceptance criteria, handling/containment design and measured output streams. |
| Material characterization | What material has actually been recovered? | Composition and contamination, thermal behavior and processing suitability; proposed tools include DSC/TGA, rheology or melt-flow testing as appropriate. |
| Formulation and manufacturing trials | Can a qualified stream meet one application’s requirements? | Controlled formulation, test specimens, mechanical/property comparison and repeatable processing conditions. |
| System accounting | Where did material and energy go? | Batch-level mass records, added inputs, residues/emissions, process energy and an explicit accounting boundary. |
This proposed mass balance defines a measurement framework, not a measured recovery yield. εm denotes measurement closure error. An energy balance requires separate process measurements. Suitable material streams can enter additive-manufacturing trials after qualification.
Select one defined feedstock and application. Demonstrate output quality, closure, process requirements and practical economics before expanding the pathway.
The research record connects raw captures, features, reference outcomes and decisions. Process models can guide experiments when their system boundary, parameters and validation basis are explicit.
| Record layer | Content | Why it matters |
|---|---|---|
| Identity and capture | Module/source-lot identifiers, provenance, technology metadata, instrument/method, acquisition conditions, units and capture-quality flags. | Trace observations to the physical asset and reproduce acquisition. |
| Condition, tests and eligibility | Versioned features, qualified reference-test findings, eligibility rubric, adjudicator, disagreement and unresolved-case status. | Preserve a physical/reference record independently of the recommended action. |
| Policy and action | Policy/calibration version, eligible tests and routes, acquisition/repeat/stop/referral sequence, time/cost and separate uncertainty/handling reason codes. | Make the context-dependent decision reproducible without rewriting the reference findings. |
| Observed outcome and value | Disposition/qualification result, actual time/cost and downstream outcome under agreed data terms. | Compare intended decisions with practical results and improve the next experiment. |
A future digital model needs a defined physical process, measurable states, calibration parameters and independent checks. The proposed architecture connects those requirements. The separate solar-data study compares plant-output models; module-routing performance requires its own validation.
Reproduce one complete record and test-selection sequence, check provenance and units, and verify that all observations of a module and its source lot remain in one partition.
Test whether a PV-specific policy improves complete cost at matched routing-error and decision-coverage limits across unfamiliar module lots. Independent reference assessments, strong comparison methods and acquisition-quality controls make the proposed advantage falsifiable.
| Gate | Planned check | Decision it informs |
|---|---|---|
| Acquisition quality | Repeat captures under recorded conditions; check instrument calibration, missingness, excitation and acquisition failures. | Whether acquisition artifacts can be separated from condition-related evidence. |
| Independent references and safety | Agree qualified condition/function and eligibility findings; mask assessors to policy recommendations where practicable. Preserve disputed cases and required safety/qualification procedures. | Whether reference findings and mandatory constraints remain independent of optional testing. |
| Untouched source lots | Keep each physical module and source lot together. Separate development, calibration and final evaluation; freeze policies, preprocessing and thresholds before final testing. | Whether a learned decision rule transfers beyond related development observations. |
| Strong comparisons and ablation | Compare actual operator practice, a cost-tuned fixed workflow, an established adaptive method and the PV-specific candidate with equivalent eligible measurements. Remove the capture-quality mechanism and modalities in turn. | Whether the candidate adds value beyond strong alternatives and which component contributes. |
| Errors, coverage and review | Report route-specific errors and automatic-decision coverage together, with uncertainty intervals and lot variation. Separate uncertainty referral from required handling review. | Whether lower apparent error depends on sending more work to specialists. |
| Complete costs and workflow timing | Measure acquisition, setup, handling, failed/repeated captures, mandatory qualification, expert review and allocated equipment/software costs. Separate replay estimates from prospective timing and research-reference costs from recurring operating costs. | Whether fewer measurements produce practical savings and whether a partner pilot is justified. |
Set sample size and acceptance criteria for the defined population, reference protocol and uncertainty requirements. Economic evaluation includes logistics, downstream acceptance/value and error consequences. Environmental evaluation requires its own boundary, remaining-life and displacement assumptions.
Advance only if the agreed cost, risk and coverage criteria hold on untouched lots. Retain a simpler method if it matches the candidate, and revise or stop when new-lot performance fails. Report negative findings and unresolved cases.
Current study & connected research
The proposed intake study investigates test selection, capture quality and routing. Recovery, materials, modeling and manufacturing retain their own development stages and validation gates within the wider vision.
Work to date includes university-supported feasibility research, technical consultation, data analysis, model-based investigation and early prototyping. These activities inform the next physical and analytical studies.
Investigate optional test selection across unfamiliar module lots, comparing complete cost, routing errors and expert-review needs.
02Investigate life extension, disassembly and recovery methods to define qualified physical pathways.
03Connect materials investigation and recycled-polymer prototyping with feedstock and application qualification.
04Use conceptual models, virtual investigation and process design to guide physical experiments.
05Develop records and reproducible analysis that connect observations, decisions and outcomes.
06Connect customer discovery, cost scenarios and lifecycle questions to a measurable case for adoption.
Institutes & programs
University research, technical discussions, public research support and venture-development programs have contributed to SBX’s research direction.
The 2023–2024 circular-PV feasibility project connected data exploration, modeling, research questions and customer discovery.
Explore the completed projectMaterials discussions and research-scope development informed characterization, processing and additive-manufacturing directions.
Advanced-manufacturing discussions and proposal preparation informed prototyping plans and the broader system architecture.
$100,000 in CSIT awards supported university feasibility and internal research and development.
Explore the two awardsCompleted Northeast regional Cohort 13; stakeholder discovery sharpened the customer, adoption and commercialization questions.
Completed venture development and customer discovery helped refine the circular-solar business direction.
The completed 12-week startup-building program contributed mentorship and practical venture-development guidance.
Build the evidence together
Research methods. Module access. Operator insight. Help shape the next bounded study.
Explore research collaboration