Full cycle: site surveys, BIM design, construction, commissioning and digitalisation of power facilities.
A digital model of the facility: clashes are found in the model, not on site.
Virtual copies of plants and operating modes.
Equipment parameters in real time.
Predictive condition analysis.
Storage, solar and wind generation.
Protection, DCS and metering.
Modular boiler houses and substations: faster installation, predictable quality.
Task, technical requirements, site constraints.
Initial data, feasibility study, concept approval.
Basic and detailed design in BIM, expert review.
Equipment supply, site works, technical supervision.
Commissioning, testing, handover, digital support.
energy losses after metering and distribution upgrades
faster response to failures with telemetry and dispatching
operating cost through predictive diagnostics
Given: steam D = 100 t/h → G = 27.8 kg/s; hsteam = 3,100 kJ/kg; hfeedwater = 750 kJ/kg → Δh = 2,350 kJ/kg
Q = G · (h2 − h1) = 27.8 · 2,350 ≈ 65 MW
ηboiler = Quseful / (B · Qnet) ≈ 92%
Given: before turbine h₁ = 3,100, after h₂ = 2,250, feedwater h₃ = 750 kJ/kg
ηt = (h₁ − h₂) / (h₁ − h₃) = 850 / 2,350 ≈ 36%
regenerative feedwater heating: +15% to efficiency
Given: G = 27.8 kg/s; p = 1.4 MPa; w = 40 m/s; v = 0.16 m³/kg
d = √(4·G·v / π·w) = √(4·27.8·0.16 / 3.14·40) ≈ 380 mm
σ = p·d / 2s ≤ [σ] — wall thickness to standard
Δp = λ · (L/d) · ρw²/2 ≈ 0.05 MPa/km
Given: steam 100 t/h; superheat 250 → 400 °C: Δh = 250 kJ/kg; k ≈ 60 W/(m²·K); Δtlog ≈ 350 K
Q = G · Δh = 27.8 · 250 ≈ 7 MW
H = Q / (k · Δtavg) = 7·10⁶ / (60·350) ≈ 330 m²
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