Home
About Us
Solutions
AI & Data Management Solutions
Digital Integration & Smart City Solutions
Asset Performance Management Solutions
Industrial Digital Solutions
Drones & Robotics Solutions
Industries
Oil & Gas
Chemicals
Manufacturing
Power & Utilities
Government & Public
Mining & Minerals
Smart City
Supply Chain & Logistics
Careers
Case Studies
Contact
Home
About Us
Solutions
AI & Data Management Solutions
Digital Integration & Smart City Solutions
Asset Performance Management Solutions
Industrial Digital Solutions
Drones & Robotics Solutions
Industries
Oil & Gas
Chemicals
Manufacturing
Power & Utilities
Government & Public
Mining & Minerals
Smart City
Supply Chain & Logistics
Careers
Case Studies
Contact
Home
About Us
Solutions
AI & Data Management Solutions
Digital Integration & Smart City Solutions
Asset Performance Management Solutions
Industrial Digital Solutions
Drones & Robotics Solutions
Industries
Oil & Gas
Chemicals
Manufacturing
Power & Utilities
Government & Public
Mining & Minerals
Smart City
Supply Chain & Logistics
Careers
Case Studies
Contact
Energy Optimization & Green Energy Study – TIDAREC / Aramco Uth Gas Plant NGL Pumps Study 2025
Home
Case Studies
Energy Optimization & Green Energy Study – TIDAREC / Aramco Uth Gas Plant NGL Pumps Study 2025
Challenge
High operating cost from fixed-speed pump and driver configurations
Uncertainty between electric motor (VFD) vs gas turbine–driven pumps
Load variations at forecast rates causing efficiency losses
Need to balance energy cost, reliability, and CO₂ emissions
No clear, data-backed comparison across pump, driver, and load scenarios
AIGC Solution
Built detailed HYSYS simulation models for NGL pump systems across UGP, UDER, HASHNGL, ShGP, and YNGLF
AI-assisted comparison of fixed-speed vs variable-speed (VFD) pump configurations
Evaluated electric motor–driven pumps against gas turbine–driven pumps under multiple operating scenarios
Load management simulations at forecast throughput rates to identify optimal operating envelopes
Integrated energy, cost, and carbon emission metrics into a single decision framework
Realized Value
Identified the most energy- and cost-efficient pump and driver configuration
Quantified annual operating cost savings versus fixed-speed pump operation
Clear recommendation on when VFDs outperform gas turbine drives and vice versa
Reduced CO₂ emissions through optimized load and driver selection
Provided implementation-ready, data-validated guidance for Aramco’s NGL pumping strategy