scholarly journals Water Demand Management Based on Water Consumption Data Analysis in the Emirate of Abu Dhabi

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2827
Author(s):  
Shayma Albannay ◽  
Shinobu Kazama ◽  
Kumiko Oguma ◽  
Takashi Hashimoto ◽  
Satoshi Takizawa
Keyword(s):  
United Arab Emirates ◽  
Water Consumption ◽  
Water Demand ◽  
Time Series Data ◽  
Demand Management ◽  
Water Saving ◽  
Abu Dhabi ◽  
Series Data ◽  
Water Demand Management ◽  
Consumption Data

In Abu Dhabi, in the United Arab Emirates (UAE), the population and water demand have nearly tripled in the last two decades. Thus, it has become critical to curtail the growing water demand. This study aimed to evaluate the efficacy of Abu Dhabi’s residential water demand management through the installation of water-saving fittings. The analysis of water consumption time-series data revealed that water consumption of the three water user categories was significantly different. Briefly: water-tariff exempt users consumed 95.19 m3/d/connection in 2019, followed by nationals with 5.14 m3/d/connection, and expats at 0.7 m3/d/connection. Nationals began saving water in 2011, which was earlier than the water tariff revision of 2015. In a newly developed area of Khalifa City, the water consumption of new residents was 46.0% less than that of old residents, indicating the effectiveness of water-saving fittings installed in new homes following the Housing Rules’ requirements. Then, based on the estimated number of new connections and the fittings’ saving efficiencies, we estimated that water-saving fittings contributed to 73.1% of the water savings since 2011. These results strongly recommend the introduction of an incentive or subsidy for owners of old houses to replace their outdated fittings with water-saving ones.

What are we saving anyway? The results of three water demand management programs in NSW, Australia

2003 ◽  
Vol 3 (3) ◽  
pp. 215-222 ◽  
Author(s):  
K. Sarac ◽  
D. Day ◽  
S. White
Keyword(s):  
Market Share ◽  
Water Consumption ◽  
Water Demand ◽  
Incentive Mechanism ◽  
Demand Management ◽  
The Other ◽  
Water Demand Management

The use of demand management programs to achieve permanent and reliable decreases in water consumption through retrofits of water using equipment is relatively new in Australia, and has been carried out on the basis of models which predict savings, and on results of demand management programs undertaken overseas. The availability of information on actual savings achieved by demand management programs in Australia is extremely limited. This paper outlines the results of the evaluation of three retrofit programs undertaken in NSW, two of which involved a visit by a plumber to households to carry out a retrofit of indoor water using equipment at a subsidised price; the other taking a “hands-off” approach and relying on a discount incentive mechanism to increase the market share of water efficient showerheads.

scholarly journals Water Utilization Status and Water Saving Awareness Investigation

2021 ◽  
Vol 21 (6) ◽  
pp. 341-349
Author(s):  
Youngseok Song ◽  
Jingul Joo
Keyword(s):  
Water Demand ◽  
Demand Management ◽  
Water Saving ◽  
Water Demand Management ◽  
Daily Lives ◽  
Water Utilization ◽  
Metropolitan City ◽  
Washing Machines ◽  
The Future ◽  
Supply Water

In this study, water utilization status and water saving awareness investigation were analyzed through a survey in Gwangju Metropolitan City. Consequently, it was observed that most water is wasted when showering and doing laundry. Therefore, it is necessary to supply water-saving washing machines and dishwashers along with water-saving devices. A total of 64% of the respondents conserve water in their daily lives, and the reasons are worries about the future and economic reasons. Water saving is not practiced because it is unfamiliar or uncomfortable. Therefore, methods are necessary to save water without inconvenience in daily lives. It is judged that the results of this study can be used to establish strategies for water demand management.

Evaluation of Water Saving Potential for Short-Term Water Demand Management

2020 ◽  
Vol 34 (10) ◽  
pp. 3317-3330 ◽  
Author(s):  
Hui Wang ◽  
Dave Bracciano ◽  
Tirusew Asefa
Keyword(s):  
Water Demand ◽  
Demand Management ◽  
Water Saving ◽  
Short Term ◽  
Water Demand Management

scholarly journals Technologies of savings systems that generate greater efficiency in the consumption of drinking water

2021 ◽  
pp. 1-13
Author(s):  
Eduardo Flores Medina ◽  
Ana Cristina Castro Guerrero ◽  
Marisol Vazquez Luna ◽  
Berenice Carmona-Valente
Keyword(s):  
Drinking Water ◽  
Water Consumption ◽  
Water Demand ◽  
Demand Management ◽  
Review Article ◽  
Social Mechanisms ◽  
Cultural Perspective ◽  
Water Demand Management ◽  
Management Processes

This review article examines the main aspects of drinking water demand management from a technological and cultural perspective as a strategy for the efficient use of urban aqueducts. It is necessary to know the factors that affect the consumption of water in homes in order to generate management processes to solve the misuse of this resource. In the first room, a description of the demand is presented and some investigations are presented. Then some low water consumption devices are described, finally social mechanisms are mentioned to achieve a more efficient use of water.

Water demand management - philosophy or implementation?

2004 ◽  
Vol 4 (3) ◽  
pp. 25-32
Author(s):  
J.S. Buckle
Keyword(s):  
Water Demand ◽  
Community Education ◽  
Water Cycle ◽  
Demand Management ◽  
Water Industry ◽  
Water Demand Management ◽  
Management Philosophy ◽  
Leakage Reduction ◽  
Drought Conditions ◽  
African Context

This paper describes the introduction of water demand management in the southern African context. Originally a response to drought conditions, water demand management is now a key element in Rand Water's strategy of water cycle management - a mix of interventions that (holistically and continuously) keep the water industry viable and sustainable. This experience points to awareness and community education programmes being an essential companion to the technical interventions such as leakage reduction measures.

Social interaction in water demand management implementation

2005 ◽  
Vol 5 (3-4) ◽  
pp. 295-301
Author(s):  
J.S. Buckle
Keyword(s):  
Social Interaction ◽  
Water Use ◽  
Water Demand ◽  
Water Cycle ◽  
Demand Management ◽  
Community Members ◽  
Water Demand Management ◽  
Education Project ◽  
Broad Concept ◽  
Efficient Water Use

This article describes a successful awareness and education project undertaken in an East Rand township by the Water Cycle Management Section of Rand Water. The Project's focus was to create awareness in the community of the broad concept of water cycle management within an environment and to transfer skills to community members (facilitators) who could then assist in ensuring effective and efficient water use.

Elicitation of expert knowledge to develop decision support tools for use in water demand management planning

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey
Keyword(s):  
Decision Support ◽  
Water Demand ◽  
Expert Knowledge ◽  
Demand Management ◽  
Decision Processes ◽  
Conservation Strategy ◽  
Influence Diagrams ◽  
Decision Support Tools ◽  
Water Demand Management ◽  
Support Tools

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.

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