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Description
PM VSD Screw Air Compressor with Air Dryer & Tank – 10HP / 15HP / 20HP / 30HP – OPA SeriesUpgrade your shop, service bay, manufacturing area, or industrial workspace with the OPA Series PM VSD rotary screw air compressor system. Each unit is built for continuous duty compressed air performance and includes a permanent magnet variable speed drive compressor, integrated refrigerated air dryer, large air storage tank, and 3 stage CTA precision filtration system. This system is designed for shops that need stable, clean, dry compressed air for
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Upgrade your shop, service bay, manufacturing area, or industrial workspace with the OPA Series PM VSD rotary screw air compressor system. Each unit is built for continuous-duty compressed air performance and includes a permanent magnet variable speed drive compressor, integrated refrigerated air dryer, large air storage tank, and 3-stage CTA precision filtration system.
This system is designed for shops that need stable, clean, dry compressed air for automotive service, tire equipment, CNC machinery, fabrication, woodworking, sandblasting, manufacturing, and other high-demand compressed air applications.
The PM VSD motor helps reduce wasted energy by adjusting output to air demand, while the direct-drive design eliminates belt maintenance. The oil-injected screw compressor system is built for industrial durability, cooler operating temperatures, and long service life compared with standard piston compressors.
Each compressor also includes both required maintenance filter kits, adding a $695.00 value with every compressor purchase.
Key Features
- PM VSD rotary screw air compressor system
- Integrated refrigerated air dryer
- Built-in air storage tank
- 3-stage CTA precision filtration system
- Direct-drive compressor design with no belts
- Baosi industrial air end
- Jiangtian IP55 motor
- Oil-injected compressor system for heavy-duty industrial use
- English digital control screen
- Adjustable pressure setting, can reduce from preset max pressure
- Quiet operation compared with piston-style compressors
- Designed for continuous-duty compressed air applications
- Fully assembled system for shop and industrial use
- Includes compressor maintenance filter kit
- Includes precision filter maintenance kit
- Bonus maintenance filter kits included — $695.00 value
- Available in 10HP, 15HP, 20HP, and 30HP models
Specifications
- Type: PM VSD rotary screw air compressor system
- Compressor Type: Oil-injected screw compressor
- Drive Method: Direct drive, not belt drive
- Air End: Baosi
- Motor: Jiangtian IP55
- Compressor Language: English
- Dryer Refrigerant: R134a
- Filtration: 3-stage CTA precision filtration
- Included System Components: Compressor, refrigerated air dryer, air tank, precision filters, maintenance filter kits
- Use: Automotive shops, tire centres, CNC machinery, fabrication shops, sandblasting, industrial manufacturing, woodworking shops, continuous-duty compressed air systems
Model Specifications
10HP – OPA10PV
- Power: 7.5 kW / 10 HP
- Air Flow: 0.9 m³/min
- Pressure: 10 bar, adjustable downward
- Voltage: 220V / 60Hz / Single Phase
- Dryer Capacity: 1.2 m³/min
- Tank Capacity: 100.4 gal / 380L
- Overall Size: 61" x 24.8" x 59.1" / 1549 x 630 x 1501 mm
- Weight: 743 lb / 337 kg
- Running Current: 25A
- Overload Trip Setting: 38A
- PM VSD Setting: 27A
- Recommended Breaker: 30A breaker
15HP – OPA15PV
- Power: 11 kW / 15 HP
- Air Flow: 1.3 m³/min
- Pressure: 10 bar, adjustable downward
- Voltage: 220V / 60Hz / Single Phase
- Dryer Capacity: 1.2 m³/min
- Tank Capacity: 132.1 gal / 500L
- Overall Size: 70.9" x 28" x 67.3" / 1800 x 711 x 1710 mm
- Weight: 886 lb / 402 kg
- Running Current: 35A
- Overload Trip Setting: 53A
- PM VSD Setting: 39A
- Recommended Breaker: 50A breaker
20HP – OPA20PV
- Power: 15 kW / 20 HP
- Air Flow: 2.1 m³/min
- Pressure: 10 bar, adjustable downward
- Voltage: 220V / 60Hz / Three Phase
- Dryer Capacity: 2.4 m³/min
- Tank Capacity: 132.1 gal / 500L
- Overall Size: 70.9" x 28" x 67.3" / 1800 x 711 x 1710 mm
- Weight: 968 lb / 439 kg
- Running Current: 48A
- Overload Trip Setting: 62A
- PM VSD Setting: 53A
- Recommended Breaker: 60A breaker
30HP – OPA30PV
- Power: 22 kW / 30 HP
- Air Flow: 3.2 m³/min
- Pressure: 10 bar
- Voltage: 220V / 60Hz / Three Phase
- Dryer Capacity: 3.6 m³/min
- Dryer Pressure Rating: 16 bar
- Dryer Voltage: 220V / 60Hz / Single Phase
- Refrigerant: R134a
- Tank Capacity: 132.1 gal / 500L
- Running Current: 70A
- Overload Trip Setting: 91A
- PM VSD Setting: 77A
- Recommended Breaker: 90A breaker
Electrical Reference
- 10HP: 220V / 60Hz / 1P, 25A running current, 30A breaker
- 15HP: 220V / 60Hz / 1P, 35A running current, 50A breaker
- 20HP: 220V / 60Hz / 3P, 48A running current, 60A breaker
- 30HP: 220V / 60Hz / 3P, 70A running current, 90A breaker
Breaker information is based on the supplied chart and rounded to a normal breaker size. Final breaker, wire size, disconnect, and installation must be confirmed by a licensed electrician according to the unit manual and local electrical code.
Bonus Maintenance Filter Kits Included — $495.00 Value
Each OPA Series compressor includes both required maintenance filter kits, adding a $695.00 value with every compressor purchase.
Compressor Maintenance Filter Kit
Recommended maintenance interval: 2,500–3,000 hours- 1 x Air filter
- 1 x Oil filter
- 1 x Oil-gas separator
Precision Filter Maintenance Kit
Recommended maintenance interval: 6,000–8,000 hours- 1 x Air precision filter
- 1 x Oil precision filter
- 1 x Dust precision filter
What’s Included
- 1 x PM VSD screw air compressor unit
- 1 x Integrated refrigerated air dryer
- 1 x Air storage tank, 380L or 500L depending on model
- 1 x 3-stage CTA precision filtration system
- 1 x English digital controller
- 1 x Controller manual
- 1 x Compressor Maintenance Filter Kit
- 1 x Precision Filter Maintenance Kit
- Included maintenance filter kit value: $895.00
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Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.3 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book.
A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me.
What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure.
The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation.
From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows.
For example:
* agents helping analysts generate specs before model development
* automated code review for promo forecasting pipelines
* isolated subagents for pricing, promotions, assortment
* persistent memory for business rules across teams
* MCP integrations to pull context from internal systems safely
The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces.
One thing I appreciated: the author does not oversell AI.
There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy.
This is not for complete beginners though.
If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content.
Overall, probably one of the more practical books I have read recently on agentic coding systems.
Good for:
* software engineers
* AI engineers
* enterprise architecture teams
* technical product teams
* analytics leaders trying to operationalize AI development workflows
Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts.
This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together.
That part felt very relevant for healthcare and enterprise environments.
The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time.
Honestly, that is one of the biggest problems organizations underestimate right now.
In healthcare workflows, context matters a lot:
* prior interactions
* business rules
* auditability
* escalation logic
* safety constraints
* tool permissions
* workflow boundaries
The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality.
I work in enterprise analytics, and while reading this book I kept thinking about use cases like:
* pharmacy workflow automation
* prior authorization support systems
* coding assistants for healthcare engineering teams
* AI copilots for operational analytics
* agent-based escalation systems
* claims and workflow orchestration
The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic.
What made this book stand out for me was the balance between implementation and architecture.
The author explains:
* why long contexts fail
* how context poisoning happens
* why isolation matters
* when parallel agents help
* when they actually create more complexity
That level of honesty is missing in many AI books right now.
Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on.
One limitation: this book assumes technical background.
Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters.
But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading.
Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that.
As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book.
It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book.
The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned.
I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations.
In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject.
Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
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Reviewed in the United States on April 11, 2026
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform.
The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
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Reviewed in the United States on May 12, 2026
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows.
What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers.
The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments.
I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized.
The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity.
If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
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Reviewed in the United States on May 9, 2026