Educational Articles

In-depth tutorial articles with charts, tables and worked examples: steam, control, instrumentation, hydraulics and machine learning in industry.
Steam & Boilers

Steam Trap Selection Guide: Types, Principles and Common Mistakes

Why one failed trap can waste thousands of dollars of steam a year, and how to choose the right trap.

2 min read
Control & Instrumentation

Control Valve Sizing: Flow Coefficients Cv and Kv in Practice

From the basic formula to selecting size and trim characteristic, with a worked example and a Kvs table.

2 min read
Control & Instrumentation

PID Controller Tuning: Fundamentals, Methods and Step Response

The effect of each parameter, Ziegler–Nichols and lambda tuning, with a simulated first-order-plus-dead-time process.

1 min read
Control & Instrumentation

The 4–20 mA Current Loop: Principles, Wiring and Troubleshooting

Why it has been the industrial signal standard for over half a century, and how to design it properly.

2 min read
Control & Instrumentation

Flow Meter Selection Guide: Magnetic, Vortex, Coriolis or Orifice?

A comparison of accuracy, turndown, pressure loss and cost of common technologies, and a three-step selection method.

1 min read
Hydraulics & Pumps

Pipe Pressure Drop: the Darcy–Weisbach Equation and Pipe Sizing

Calculating water pressure drop in steel pipes, recommended velocities and how diameter affects pumping energy cost.

1 min read
Thermal & Exchangers

Plate Heat Exchangers: Principles, LMTD and Heat-Transfer Area

Why plate exchangers are more compact and efficient, and how to estimate the required area with the LMTD method.

2 min read
Steam & Boilers

Raising Steam-System and Boiler Efficiency: Proven Measures

From excess-air control to condensate return: how much each measure saves and where to start.

2 min read
Hydraulics & Pumps

VFDs on Pumps and Fans: Affinity Laws and Energy-Saving Calculation

Why a 20 % speed reduction can cut power by almost half, and how to calculate real savings.

1 min read
AI & Data

Predictive Maintenance with Machine Learning in Energy Systems

From raw sensor data to early warning: algorithms, workflow and common pitfalls.

1 min read
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