Book a demo

Reciprocating Compressor Simulation Patents: Leaders & White Space 2026

Reciprocating Compressor Simulation Patents: Leaders & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/reciprocating-compressor-simulation-and-modeling-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Mechanical Engineering & Machinery
Reciprocating Compressor Simulation and Modeling Patents
  • Filing has plateaued, not grown. Activity peaked at 6 families in 2022 and shows no upward trend since 2017, despite steady baseline interest.
  • Citation weight sits on one storage concept. The five most-cited records all trace to a single compressed-air energy storage family using two-phase flow heat exchange, not to core valve or thermodynamic modeling claims.
  • Filing is concentrated in the United States. 56 of the tracked records went through the USPTO, more than five times the next-largest receiving office (WIPO PCT at 11).
Get a prior-art report on your approach
85
Published Records
US
Leading Jurisdiction
16
Active Filers Ranked
2022
Peak Filing Year
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this patent set actually covers

Reciprocating compressor simulation and modeling sits at the intersection of mechanical design and computational engineering: patents in this set combine claims on physical reciprocating or piston compressor hardware with claims on simulation methods — thermodynamic cycle modeling, valve dynamics, or CFD. That dual requirement narrows the field considerably compared to compressor hardware patents generally. The IPC composition confirms this hybrid character: F01B (reciprocating machines) leads, but steam and gas-turbine plant classes (F01K, F02C) and fluid-actuator classes (F15B, F04B) all carry meaningful weight, showing that simulation claims here are frequently filed alongside adjacent power-conversion or fluid-handling systems rather than in isolation.

Because publication typically lags filing by around 18 months, the tail end of the filing trend understates true recent activity — 2025 and 2026 figures will rise as later-filed applications publish. Even accounting for that lag, the mid-decade plateau after 2022 is a genuine signal worth weighing against any assumption that simulation-driven compressor design is accelerating.

Annual filings, 2017–2026 (2026 partial)
  1. 1LIGHTSAIL ENERGY INC70
  2. 2INNOMOTICS GMBH10
  3. 3CRANE STEPHEN E6
  4. 4FONG DANIELLE A4
  5. 5POURMOUSA ABKENAR AMIRHOSSEIN4
  6. 6BERLIN EDWIN P JR4
  7. 7JANHUNEN TIMO3
  8. 8STAHLKOPF KARL E2
  9. 9BERLIN EDWIN2
  10. 10BARBERO EVER J2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
The Numbers

Filing trend and technology composition

Two views of the same 85-family dataset: how filing volume has moved year over year, and how those families distribute across IPC subclasses.

A flat trajectory since 2017

Filings rose modestly from 3 in 2017 to a peak of 6 in 2022, then eased off. There is no sustained growth curve here — treat any pitch that frames this as a fast-emerging field with caution, and weigh the 2025-2026 dip against publication lag before concluding the field is contracting.

A flat trajectory since 2017023563201720182019202020216202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Hardware classes dominate over pure simulation classes

F01B (reciprocating machines & engines) accounts for the largest single share at 30 records, roughly double the next subclass. The presence of F01K, F02C, B05B, F03C, F15B, F16D and F04B alongside it shows that simulation and modeling claims in this space are rarely filed as standalone software patents — they ride along with mechanical system claims across power generation, hydraulics and fluid actuation.

Hardware classes dominate over pure simulation classesF01B · Reciprocating machines & engin…3035.3%F01K · Steam & thermal power plants2023.5%F02C · Gas-turbine plants1517.6%B05B · Spraying & atomising1416.5%F03C · Positive-displacement hydrauli…1416.5%F15B · Fluid-pressure actuators & sys…1315.3%F16D · Clutches & brakes1315.3%F04B · Positive-displacement pumps1214.1%Other6374.1%

Shares are the percentage of the 85 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Reciprocating Compressor Simulation and Modeling with Eureka

This page is one run against one query. Ask Eureka your own question about reciprocating compressor simulation and modeling and every answer comes back with the patent numbers behind it.

Try Eureka
Key Patents

The most-cited records and a recent representative filing

Representative Recent Filing
US20250202406A12025-06-19

System and method for obtaining coolant flow rate(s) for a power cell of a variable frequency drive

INNOMOTICS GMBH

A variable frequency drive system includes a power converter with a plurality of power cells supplying power to one or more output phases, each power cell having multiple switching devices, a plurality of sensors monitoring values of the power converter, and a control system in communication with the power converter and controlling operation of the plurality of power cells, wherein the control system is configured via computer executable instructions to access and utilize a multi-dimensional response surface to obtain an internal coolant flow rate.Filed by Innomotics GmbH, published 2025-06-19. Notably, this claim targets thermal management of drive electronics via a modeled response surface rather than the compressor's mechanical or thermodynamic cycle directly — illustrating how simulation claims in this space have drifted toward adjacent power-electronics cooling.

US20250202406A1 — patent drawing 1US20250202406A1 — patent drawing 2
View full record
Highest-citation records in the dataset
#Publication no.Patent titleCitations
1US20110115223A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange220
2US20100326075A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange143
3US20100329903A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange136
4US8436489B2Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange128
5US20110023488A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange110
6US20110023977A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange109
7US20110030359A1Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange105
8US8065874B2Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange102
9US8240142B2Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange98
10US8191360B2Compressed air energy storage system utilizing two-phase flow to facilitate heat exchange91

All five top-cited records trace to the same compressed air energy storage family built around two-phase flow heat exchange — a strong signal that this specific configuration, not general valve or cycle modeling, has drawn the most downstream citation.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Run it yourself

Put your own technology through the same analysis

 
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Insights

What the data implies for filing strategy

Three patterns stand out once family counts, citation weight and receiving-office data are read together.

Filing Trend
6 in 2022, 0 by 2026
peak year vs. latest partial year

The plateau predates any citation-driven surge

Filing activity peaked in 2022 and has since fallen off, with the 2026 figure still partial. This is not a field in visible acceleration; new entrants should verify current market interest independently rather than assume patent volume signals commercial momentum.

Weigh the recent-year drop against the roughly 18-month publication lag before drawing conclusions.
Citation Concentration
220 citations, top record
highest-cited record in the set

Influence is concentrated in one storage architecture

The five most-cited records are all variants of the same compressed air energy storage system using two-phase flow to facilitate heat exchange. That concentration means citation counts here measure the pull of one influential family, not broad-based interest in reciprocating compressor simulation generally.

Citation counts favor older, earlier-published records within any searched corpus.
Jurisdiction
56 of 85 records
filed via USPTO

Filing is heavily US-centric

The United States receives the large majority of filings, with WIPO PCT, EPO, Canada, Australia and India trailing well behind. Competitors building a global freedom-to-operate picture should not assume EPO or PCT coverage mirrors US claim scope in this space.

Receiving-office counts reflect where applications entered, not where families ultimately granted.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to reciprocating compressor simulation and modeling, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Who's Filing

Assignee concentration and collaboration patterns

Co-assignee pairings point to a small cluster of individual inventors and one company working closely together, rather than a broad competitive field.

Core Cluster
6 shared filings
strongest co-assignee pair

One company-inventor pairing anchors the dataset

The strongest co-assignee link pairs a single company with an individual inventor across 6 shared filings, with two more inventor pairs each appearing on 5 filings. This points to a tight core team rather than a wide field of independent competitors.

10 co-assignee pairs total across the dataset.
Momentum
0 in latest year
for every top-ranked assignee

No assignee shows active recent-year filing

Every one of the top-ranked assignees, including the core cluster, shows zero filings in the latest tracked year. Combined with the overall filing plateau, this suggests the most active period for this specific claim combination has already passed, pending any lag-driven correction.

Recent-year momentum is measured against the dataset's most recent complete filing year.
Breadth
85 families, 85 total
no family consolidation observed

A flat family-to-record ratio

Every published record in this set maps to its own patent family, with no evidence of heavy continuation filing concentrating volume behind a few applicants. That keeps the ranking relatively fragmented below the top cluster.

Family counts are the fairer measure here since no consolidation is masking true applicant spread.
🔍
Under-claimed sub-areas worth checking before filing
These branches show thinner claim density relative to the core F01B/F01K cluster and are worth a freedom-to-operate check rather than an assumption of open space.
Valve dynamics co-simulation with CFDTwo-phase flow heat exchange control logicPower-cell coolant response-surface modelingHydraulic positive-displacement cycle couplingClutch-integrated compressor drive modeling
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
LightSail Energy0
InMotion LLC0
CRANE STEPHEN E0
POURMOUSA ABKENAR AMIRHOSSEIN0
FONG DANIELLE A0
BERLIN EDWIN P JR0
JANHUNEN TIMO0
Tyco Fire & Security LLC0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to a mature, US-centric filing pattern with specific under-claimed branches. Two directions make sense from here.

Map claim scope on the top-cited storage family

Since citation weight concentrates on one compressed air energy storage architecture, a claim-by-claim comparison against that family is the fastest way to understand what freedom to operate actually looks like for any new two-phase flow heat exchange design.

Explore claim charts in Eureka

Check the under-claimed branches before drafting

Valve dynamics co-simulation and power-cell coolant modeling both show thinner claim density than the core mechanical classes. Running a targeted search across recent adjacent filings before drafting can confirm whether that space is still genuinely open.

Run a white space search in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this patent set

Answers are grounded in the same dataset. Derived from a Patsnap search on Reciprocating Compressor Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Research Reciprocating Compressor Simulation and Modeling in depth with Eureka

Go past this page: query the whole reciprocating compressor simulation and modeling corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

Help us improve this page

Found incorrect or outdated information? Let us know and we'll get it fixed.