Open
Open knowledge for the industry.
Open Thermal AI
Why this platform exists
Industrial heat pumps do not lack ideas. They lack engineering that still runs in year ten. Open Thermal AI exists to make that experience open and reusable.
The direction is right; maturity is not. Ten projects, ten designs. The bottleneck is reliability, standardization, and reusable engineering experience.
From industrial refrigeration to heat-pump R&D
Reliability matters more than a laboratory COP
Jing Yanrong spent years as a senior industrial refrigeration engineer before moving into industrial heat-pump R&D. The direction is sound; industry maturity is not: too much one-off design, experience that is hard to copy, and failures that surface only after three to five years. Industrial customers care less about laboratory COP than whether equipment can run stably for 5–10 years—one shutdown often costs more than the electricity saved.
Read the founder story and experience record → Read the full diagnosis → Media & citation kit
Our mission
Accumulate and open the engineering experience that lets industrial heat pumps run as products—not one-off experiments:
- Reliability before efficiency — continuous operation matters more than paper COP
- Turn one-off experience into modular methods — fewer “ten projects, ten designs”
- Open engineering knowledge — design logic, failure cases, best practice, and auditable tools
How the platform serves this
The site does not claim to have already standardized the industry. It helps teams get there:
- Screen first: is this project worth pursuing?
- Then reduce trial-and-error on projects that can proceed
- AI assists design and judgment — it does not replace a decade of field experience
Values
Intelligent
AI that amplifies engineering capability.
Reliable
Field continuity first: equipment should still run in year five to ten—not only look efficient on a test sheet.
Global
Built for the global industrial community.
How public value and a sustainable business work together
Foundational learning and the first project screen stay open. People pay for deeper judgment, responsibility, speed, customization, and delivery.
Open Thermal AI's core knowledge, basic project screening, and public calculators will remain free through at least September 2028. We do not sell user data. High-compute-cost interfaces retain reasonable rate limits so public access can remain sustainable.
Open foundation
Free to understand and start
Beginner knowledge, the quick estimate, selected cases, and data checklists remain available without a paywall.
Professional depth
Paid when accountability and delivery deepen
Expert review, scenario comparison, integration studies, and decision packages are scoped professional work.
Enterprise collaboration
Sustain the platform through partnerships
Private deployment, training, APIs, and joint R&D fund continued improvement of the open foundation.
- We do not sell user project data.
- Suppliers cannot pay to buy a recommendation or ranking.
- Sponsorships and commercial relationships must be clearly disclosed.
- Commercial income supports the maintenance of free knowledge, tools, and case preparation.
What we will measure
Impact is more than page views. We will distinguish projected outcomes from verified outcomes.
- Projects screened for free—and projects responsibly paused before wasted investment.
- Potential annual cost saving and carbon reduction, with calculation boundaries shown.
- Field outcomes verified later, kept separate from screening estimates.
- Open cases, knowledge updates, and commercial resources reinvested into public tools.
Public impact ledger · 22 Aug 2026
Publish evidence before claiming impact
These counts describe the open evidence base—not customer savings or carbon reductions. Projected and verified outcomes remain separate.
Tested learning templates
Public cases or validated calculator duties; completion assumptions are labeled.
Anonymized field references
Field observations and reported outcomes—not independent metering.
Verified measured outcomes
Kept at zero until consent, boundaries, measurements, and review support the claim.
- 1Screening projection
A deterministic estimate with visible assumptions.
- 2Field follow-up
The owner reports what changed after the decision.
- 3Verified outcome
Comparable boundary, metering period, and evidence review.
Editorial & sources
Open Thermal AI (开热智) is an industrial heat-pump go/no-go screening platform plus a bilingual research and knowledge hub—an open place to accumulate reusable engineering experience for refrigeration and heat pumps.
Update cadence
Industry briefings are manually curated and published weekly. Knowledge chapters, standards maps, and Annex notes are revised when sources or practice change—not on a fixed weekly clock.
Source principles
- Prefer primary links (regulators, IEA HPT TCP, standards bodies, named company filings).
- Annex and services pages translate and distill Task reports; the authoritative text remains on heatpumpingtechnologies.org and the cited PDFs.
- Cases declare a data status (illustrative, public-source, verified, or anonymized field reference)—never invent measured numbers.
- Site content is engineering orientation, not legal, tax, or compliance advice.
Start here: Research · Standards & policies · Services · Latest briefing.
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