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Integrated Building Systems and Renewable Energy

We design integrated systems that combine renewable energy, water treatment, and building management for efficient, sustainable facilities. Our multi-disciplinary approach delivers solutions that reduce operating costs, improve environmental performance, and enable reliable operation in resource-constrained environments.

 

Solar Photovoltaic & Energy Storage Systems

We have designed and delivered solar photovoltaic arrays integrated with building power systems, demonstrating our capability to engineer reliable renewable energy solutions. Our work includes system sizing, component selection, electrical design, and integration with grid or off-grid power systems. We can engineer solar installations with energy storage systems, designing battery management and power control systems that optimize energy utilization. Our engineering approach positions renewable energy systems to incorporate intelligent energy management—enabling predictive algorithms that optimize charging cycles, anticipate demand patterns, and maximize system efficiency as building automation evolves toward AI-driven energy optimization.

 

Water Treatment Systems

We have engineered water treatment facilities providing clean potable water in challenging environments. Our completed work includes 60,000 L/day treatment plants delivering reliable water quality where municipal infrastructure is limited. We design treatment processes, select equipment, and engineer control systems that ensure water quality while minimizing operational complexity. We can design treatment systems that incorporate monitoring sensors and automated controls, positioning facilities to leverage predictive maintenance algorithms and water quality analytics as IoT capabilities advance.

 

Building Management Systems

We have delivered building management systems that optimize HVAC, lighting, and energy consumption for commercial facilities. Our BMS work includes system architecture, sensor integration, control logic programming, and user interface design. We engineer systems that reduce energy consumption through intelligent load management—prioritizing critical loads and optimizing non-essential systems based on occupancy and environmental conditions. Our BMS architecture can incorporate machine learning models for occupancy prediction, demand forecasting, and automated system optimization. As building automation evolves toward AI-driven management, our systems are designed to integrate predictive algorithms that continuously improve efficiency while maintaining occupant comfort and operational reliability.

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