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Nayeem Ahmed Chikmagalur Muneer

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Review Open access Jul 2026

ENERGY-EFFICIENT MEP SYSTEM DESIGN FOR MEGA INFRASTRUCTURE PROJECTS UNDER SAUDI VISION 2030

Saudi Arabia's mega infrastructure program is expanding the scale, complexity, and climatic exposure of buildings, transport hubs, healthcare cities, tourism districts, campuses, airports, and mixed-use developments. In these assets, mechanical, electrical, and plumbing systems are no longer secondary building services; they define operational carbon, lifecycle cost, indoor environmental quality, resilience, maintainability, and the ability of projects to meet Vision 2030 sustainability ambitions. This review paper synthesizes recent literature from 2020 to 2025 on energy-efficient MEP system design for large infrastructure projects in hot-arid and Gulf contexts. The study examines how high-performance HVAC, intelligent controls, BIM-enabled MEP coordination, efficient lighting, water-energy integration, renewable-ready electrical systems, commissioning, and digital twins can be combined into a lifecycle design framework. The aim is to develop a practical review-based model that links technical MEP decisions with Saudi Vision 2030 priorities, including energy efficiency, environmental stewardship, smart cities, local capability building, and resilient infrastructure delivery. The paper follows a structured literature review methodology covering peer-reviewed studies, energy standards, Saudi policy documents, and international reports. Findings show that the greatest performance gains are achieved when MEP design is treated as an integrated system rather than a collection of separate disciplines. Early-stage load reduction, climate-responsive HVAC selection, demand-controlled ventilation, high-efficiency chillers, smart lighting, heat recovery, greywater reuse, submetering, analytics-based operations, and continuous commissioning provide a coherent pathway for reducing energy intensity without compromising comfort or reliability. The review contributes a Vision 2030-aligned framework for mega project teams and identifies research gaps in climate-specific benchmarking, digital twin verification, water-energy optimization, and procurement models that reward lifecycle performance.

Nayeem Ahmed Chikmagalur Muneer · 0 citations
Review Jul 2026

Digital Monitoring and Predictive Maintenance of Building Services Systems in Saudi Mega Projects

Saudi Arabia's giga-projects are expanding the scale, density, and technical complexity of building services systems. High-rise districts, hospitality destinations, airports, hospitals, cultural venues, and mixed-use communities require heating, ventilation and air-conditioning (HVAC), electrical, water, fire-safety, vertical transportation, security, and energy systems that remain reliable in harsh climatic and operational conditions. This review paper evaluates how digital monitoring and predictive maintenance can improve the operational performance of building services systems in Saudi mega projects. Following a review-paper structure inspired by recent Springer-style construction technology studies, the article synthesizes 2020-2025 literature on Building Information Modelling (BIM), Internet of Things (IoT), building management systems (BMS), digital twins, automated fault detection and diagnostics (AFDD), machine learning, and facility management. The study proposes a Saudi-oriented Digital Monitoring and Predictive Maintenance Framework (DMPMF) that links asset information requirements, sensor telemetry, analytics, work-order systems, and governance indicators. The review finds that the strongest value is achieved when predictive maintenance is treated not as a stand-alone algorithm, but as an information ecosystem connecting design handover, commissioning, operations, cybersecurity, workforce competence, and sustainability reporting. The paper contributes practical implementation stages, two conceptual visuals, and two synthesis tables for researchers, asset owners, consultants, and facility managers seeking Scopus/Q1-level alignment with Vision 2030 priorities.

Nayeem Ahmed Chikmagalur Muneer, S. Muthuvel · 0 citations