Consumption of water varies throughout the day due to the daily routines of the consumer. This pattern of daily water consumption is called the water demand profile. The initiatives to create these profiles are to improve hydraulic performance and to build energy conservation strategies for designed networks in Dubai. Therefore, the aim of the work presented here was to develop and analyze a domestic consumption profile for selected developments with socio-demographic factors including weekday/weekend variation, population, income, fasting during the month of Ramadan, and the outbreak of COVID-19. Data from more than 7000 smart meters were collected while water meters of more than 350 residential flats were examined manually. Water demand profiles generated from the data showed weekdays have more predictable peaks (morning 6–8 am and evening 5–7 pm) than weekends. During Ramadan, peak hours shifted to 7–10 am followed by 3–4 pm during workdays while peaks for low-income areas were higher due to a stricter working routine. The COVID-19 crisis has led to significant rise in observed consumption, with over a 30% increase during the month of Ramadan. The observed results, if compared with further end-use studies on more factors affecting demand profiles, can help in generating both cost and energy efficient networks.

The development of technology has made it easier for engineers to design and test models that allow simulation of real-time water distribution networks with greater accuracy. However, with so many nodes and links in a network, building a model still requires some simplification. One such simplification is the ‘conservative approach’, which applies the principle of ‘lumped demand’, taking the demand only from nodes at the ends of pipes. Herein, the full effect of lumped demand on key water parameters is analysed, on a large-scale network based on as-built networks of Al Furjan and Dubai Silicon Oasis, Dubai, UAE for different conditions. Epanet and WDNetXL software are used for the analysis, and results show the impact of different levels of skeletonisation on the head and velocity values for the two models. The analysis indicates that the head changes are high for a branched network under the extreme condition of firefighting. It includes the effect of skeletonising local tanks, with changes being higher when all tanks are empty. These findings provide a critical evaluation of the performance of this method for the Middle East region and it is concluded that the considerable velocity changes observed in the models could lead to overdesign.

The role of private tanks is to provide excess storage to the consumer to satisfy the water demand. However, they are disregarded during the design stage, in favor of simplified network analysis. This affects the accuracy of the simulation because vital components, such as tank inlets and volume sizes, are completely ignored. Hence, the purpose of this study is to demonstrate the effectiveness of advanced modeling of water distribution networks (WDNs), encompassing the presence of local private tanks, to determine the optimum values of different parameters of private tanks by conducting time- and volume-based reliability analyses. Two network models are used to perform the analysis: a small sample network and a real network that resembles the area of Dubai Silicon Oasis, Dubai, United Arab Emirates. The results obtained from the simulation of networks indicated that the lowest orifice and volume sizes to achieve the required reliability of unity is the optimum values. Furthermore, it implied that any change in their optimum values would either result in tank failure or increase in the head loss and carbon footprint of the network.

The use of pumps in water distribution networks is very useful when there is a need for additional pressure head. However, the functioning of pumps can be influenced by the presence of private storage tanks in the network, which alters the way the users draw water due to their compensation ability. This condition is very common in areas affected by the historical scarcity of water resources or intermittent supply (Mediterranean Area, Arabian Peninsula, etc.). This paper studies the effects of private tanks on the performance of pumps in a network model, considering different retention times and evaluating possible effects on background leakages. A sample network and two real water distribution networks in the UAE will be analyzed. The results show that low retention time (i.e., 12 h) leads to a decrease in pump running time, thus lowering the energy consumption and carbon footprint, which gives a sustainable solution. These results, therefore, suggest that considering the presence of private storage tanks for the pump design in network models is of crucial economic importance, as well as for efficient designs and sustainable water distribution systems.