Water scarcity and declining hydraulic performance of water supply pipe networks have increased the difficulty of providing

reliable water services. Greywater reuse represents a potential approach to alleviating these challenges. This study evaluates

the effects of greywater reuse on the hydraulic performance and reliability of a water supply pipe network. Three greywater

reuse scenarios are considered: no reuse, satellite reuse, and on-site reuse, each examined for two water supply configurations,

with and without roof tanks. Hydraulic performance is assessed using a case study network modelled in WaterGEMS.

The results indicate that on-site and satellite greywater reuse increase pressure head by approximately 18% and 20%, respectively,

under peak demand conditions. However, greywater reuse also leads to reduced flow velocities, with values below 0.5 m/s

in certain pipes at peak demand, increasing the potential for sediment deposition. Reliability analysis under critical pipe failure

conditions demonstrates that greywater reuse substantially improves network resilience. In addition, fourteen combined

demand reduction and greywater reuse scenarios are analysed, showing that integrated strategies can reduce overall potable

water demand by up to 42.8%.

Managing large-scale gatherings, such as global festivals, sporting events, and religious congregations, presents substantial challenges in ensuring crowd safety and control. Innovative frameworks are essential to address these complexities effectively. The Integrated Intelligent Crowd Control and Management (IICCM) framework combines cutting-edge technologies, including Computer Vision (CV), Artificial Intelligence (AI), and the Internet of Things (IoT), to enhance participant safety and optimize crowd management. CV enables precise real time identification and tracking, AI analyzes crowd behavior to anticipate risks, and IoT gathers environmental data to improve crowd flow, alleviate congestion, and provide timely assistance. Additionally, the framework facilitates emergency evacuation planning by modeling crowd dynamics and identifying safe, efficient escape routes. Although suitable for diverse events, the Hajj pilgrimage—a uniquely large and dynamic annual gathering—provides a rigorous test case for the IICCM framework. Managing millions of participants from varied cultural and linguistic backgrounds highlights the system’s adaptability and robustness. By effectively addressing Hajj specific challenges, the IICCM framework demonstrates its scalability and applicability to other large-scale events. This research offers valuable insights for decision-makers seeking to implement advanced crowd management technologies.

Theoretical work for concentrated solar-operated green hydrogen production system using compound parabolic
concentrator (CPC) integrated with solar photovoltaic (PV) cells driving proton membrane electrolysis (PME)
was developed, analysed, and evaluated under winter and summer conditions. Mathematical models for the
system components, including the CPC-PV integrated unit and the electrolyzer, were developed and solved. Key
system performance parameters were also evaluated. The system of equations was solved using MATLAB. Results
of the mathematical model show that for 1 m2 of the PV panel, the hydrogen production flowrate reaches a peak
on 0.0175 kg/h in summer and 0.0144 kg/h in winter, while the CPC-PV system power output can reach up to
607 W in summer and 590 W in winter. The PV efficiency in the CPC-PV system increases to about 14.75 % in
both seasons. Additionally, the overall system shows a summer and winter efficiency of nearly 13 % with a slight
variation between both seasons. The minimum achieved cost of hydrogen production of the system during
summer and winter is $0.17/kg and $0.271/kg, respectively at concentration ratio of 5. The system shows
promising performance under operation of different concentration ratios provided by CPC-PV system, highlighting
the system ability to enhance the production of green hydrogen gas cost effectively.