Power & Energy

Hawk provides specialized CAD design and engineering solutions tailored to the power and energy sector, supporting substations (including control panels, relay panels, protection & control systems, and associated buildings), data centers (backup generators and modular power infrastructure), and mobile/temporary power units.

Our services encompass full 3D modeling, detailed 2D drawing packages, and comprehensive CAD design and engineering. We also deliver advanced noise management expertise, including noise testing and analysis per ISO 3744 and ISO 8528-10, noise source ranking, predictive simulations, and customized treatment solutions such as fan and generator noise reduction, acoustic louvers, inlet/outlet grills, duct and room treatments, exhaust/intake silencers, mechanical isolation, and building-level acoustic engineering. SEE BELOW regarding Hawk’s proven approach to OPTIMAL noise treatment.

Complementing this, our thermal management capabilities feature detailed thermal analysis (FEA and system-level), CFD analysis, insulation design, fan and radiator sizing, airflow optimization, and complete cooling system enhancement to ensure reliable and efficient performance.

Mobile Power Units

Treat the right source.
At the right frequency.

Noise optimization for mobile power units.

1The reality

3 sources.
All different.

Each dominates at different frequencies. Treating them equally wastes money.

Cooling Airflow
Fan & Grill Noise
Mid-to-high frequency. Highest dBA contributor when untreated.
Engine Room
Mechanical Noise
Broad spectrum. Significant across multiple frequency bands.
Exhaust
Stack Noise
High raw dB — but low-frequency energy is discounted by A-weighting.
2The problem

Without separation,
you're guessing.

Uniform treatment ignores which source dominates at each frequency.

💸

Over-treat the wrong sources

🔇

Under-treat the ones that matter in dBA

⚖️

Excess weight. Excess cost. No certainty.

3Our process

Separate.
Then optimize.

We isolate each source's contribution frequency by frequency — then find the minimum treatment to hit target.

1

Measure each source independently

2

Identify which source dominates at each frequency

3

Validate model against real data

4

Apply minimum treatment per source to hit dBA target

Verified before anything is built
4The result

Only treat
what moves
the needle.

Each source gets precisely the treatment it needs — band by band. Nothing more.

Required treatment by 1/3 octave band (dB)
Fan & Airflow
Engine Room
Exhaust
Before
87
dBA
After
70
dBA target met
~35%
less than uniform spec

Less cost.
Less weight.
Right result.

$
Lower Cost
Treat only what matters. Nothing wasted.
Guaranteed Outcome
Model validated before build. No surprises.
Less Weight
Leaner spec. Easier to deploy and service.
SEPARATE  →  OPTIMIZE BY FREQUENCY  →  SPECIFY WITH CONFIDENCE
Noise Treatment Optimization