Developing a demand model integrating end uses of water (DMEUW): structure and process of integration

2015 ◽  
Vol 71 (4) ◽  
pp. 529-537 ◽  
Author(s):  
R. C. Sarker ◽  
S. Gato-Trinidad
Keyword(s):  
Water Consumption ◽  
Water Conservation ◽  
Water Demand ◽  
Daily Rainfall ◽  
Demand Model ◽  
Data Set ◽  
Residential Water Consumption ◽  
End Use ◽  
Hypertext Markup Language ◽  
End Uses

The process of developing an integrated water demand model integrating end uses of water has been presented. The model estimates and forecasts average daily water demand based on the end-use pattern and trend of residential water consumption, daily rainfall and temperature, water restrictions and water conservation programmes. The end-use model uses the latest end-use data set collected from Yarra Valley Water, Australia. A computer interface has also been developed using hypertext markup language and hypertext pre-processor. The developed model can be used by water authorities and water resource planners in forecasting water demand and by household owners in determining household water consumption.

Understanding urban residential end uses of water

2011 ◽  
Vol 64 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Shirley Gato-Trinidad ◽  
Niranjali Jayasuriya ◽  
Peter Roberts
Keyword(s):  
Water Consumption ◽  
Water Conservation ◽  
Water Usage ◽  
Single Family ◽  
Washing Machines ◽  
Consumption Data ◽  
Household Water ◽  
Family Home ◽  
End Use ◽  
End Uses

The ‘end use’ of water is a breakdown of the total household water usage such as water used for toilets, showers, washing machines, taps, lawn watering, etc. Understanding end uses of water will enable water planners, water authorities and household owners determine where water is used/wasted, how much and how often. This paper describes the end uses of water from a number of single-family homes in Greater Melbourne, Australia. The study involves the analysis of water consumption data recorded at 5-s intervals from logged households collected by Yarra Valley Water in Melbourne in 2004. The study determines how much water is used for outdoor and indoor purposes in a single-family home in Melbourne and compares the water usage during winter and summer. Hourly patterns of major end uses of water are also developed. The aim of this study is to improve the understanding of the end uses of water and to assist where to focus water conservation efforts that would be most effective financially and environmentally, and be acceptable to everyone.

ANN versus SARIMA models in forecasting residential water consumption in Tunisia

2013 ◽  
Vol 3 (3) ◽  
pp. 330-340 ◽  
Author(s):  
Maamar Sebri
Keyword(s):  
Neural Networks ◽  
Water Consumption ◽  
Water Demand ◽  
Total Water ◽  
Forecasting Accuracy ◽  
The Neural Network ◽  
Household Water ◽  
Residential Water Consumption ◽  
End Use ◽  
Total Water Demand

Water scarcity and increasing water demand, especially for residential end-use, are major challenges facing Tunisia. The need to accurately forecast water consumption is useful for the planning and management of this natural resource. In the current study, quarterly time series of household water consumption in Tunisia was forecast using a comparative analysis between the traditional Box–Jenkins method and an artificial neural networks approach. In particular, an attempt was made to test the effectiveness of data preprocessing, such as detrending and deseasonalization, on the accuracy of neural networks forecasting. Results indicate that the traditional Box–Jenkins method outperforms neural networks estimated on raw, detrended, or deseasonalized data in terms of forecasting accuracy. However, forecasts provided by the neural network model estimated on combined detrended and deseasonalized data are significantly more accurate and much closer to the actual data. This model is therefore selected to forecast future household water consumption in Tunisia. Projection results suggest that by 2025, water demand for residential end-use will represent around 18% of the total water demand of the country.

scholarly journals Seasonal Variation of Rainy and Dry Season Per Capita Water Consumption in Freetown City Sierra Leone

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 499
Author(s):  
Salmatta Ibrahim A ◽  
Fayyaz Ali Memon ◽  
David Butler
Keyword(s):  
Seasonal Variation ◽  
Water Use ◽  
Water Consumption ◽  
Low Income ◽  
Rainy Season ◽  
Predictor Variable ◽  
Dry Season ◽  
Data Set ◽  
Per Capita ◽  
End Use

Ensuring a sustainable urban water supply for developing/low-income countries requires an understanding of the factors affecting water consumption and technical evidence of individual consumption which can be used to design an improved water demand projection. This paper compared dry and rainy season water sources available for consumption and the end-use volume by each person in the different income groups. The study used a questionnaire survey to gather household data for a total of 398 households, which was analysed to develop the relationship between per capita water consumption characteristics: Socio-economic status, demographics, water use behaviour around indoor and outdoor water use activities. In the per capita water consumption patterns of Freetown, a seasonal variation was found: In the rainy season, per capita water consumption was found to be about 7% higher than the consumption for the full sample, whilst in the dry season, per capita water consumption was almost 14% lower than the full survey. The statistical analysis of the data shows that the average per capita water consumption for both households increases with income for informal slum-, low-, middle- and high-income households without piped connection (73, 78, 94 and 112 L/capita/day) and with connection (91, 97, 113 and 133 L/capita/day), respectively. The collected data have been used to develop 20 statistical models using the multiple linear stepwise regression method for selecting the best predictor variable from the data set. It can be seen from the values that the strongest significant relationships of per capita consumption are with the number of occupants (R = −0.728) in the household and time spent to fetch water for use (R = −0.711). Furthermore, the results reveal that the highest fraction of end use is showering (18%), then bathing (16%), followed by toilet use (14%). This is not in agreement with many developing countries where toilet use represents the largest component of indoor end use.

scholarly journals Household water use and conservation models using Monte Carlo techniques

2013 ◽  
Vol 10 (4) ◽  
pp. 4869-4900 ◽  
Author(s):  
R. Cahill ◽  
J. R. Lund ◽  
B. DeOreo ◽  
J. Medellín-Azuara
Keyword(s):  
Monte Carlo ◽  
Water Use ◽  
Water Conservation ◽  
Water Demand ◽  
Cost Effective ◽  
Mixed Integer ◽  
Residential Neighborhood ◽  
Household Water ◽  
End Use ◽  
Conservation Model

Abstract. The increased availability of water end use measurement studies allows for more mechanistic and detailed approaches to estimating household water demand and conservation potential. This study uses, probability distributions for parameters affecting water use estimated from end use studies and randomly sampled in Monte Carlo iterations to simulate water use in a single-family residential neighborhood. This model represents existing conditions and is calibrated to metered data. A two-stage mixed integer optimization model is then developed to estimate the least-cost combination of long- and short-term conservation actions for each household. This least-cost conservation model provides an estimate of the upper bound of reasonable conservation potential for varying pricing and rebate conditions. The models were adapted from previous work in Jordan and are applied to a neighborhood in San Ramon, California in eastern San Francisco Bay Area. The existing conditions model produces seasonal use results very close to the metered data. The least-cost conservation model suggests clothes washer rebates are among most cost-effective rebate programs for indoor uses. Retrofit of faucets and toilets is also cost effective and holds the highest potential for water savings from indoor uses. This mechanistic modeling approach can improve understanding of water demand and estimate cost-effectiveness of water conservation programs.

Micro-component survey of residential water consumption in Hanoi

2013 ◽  
Vol 13 (2) ◽  
pp. 469-478 ◽  
Author(s):  
Y. Otaki ◽  
M. Otaki ◽  
P. N. Bao ◽  
T. T. V. Nga ◽  
T. Aramaki
Keyword(s):  
Water Consumption ◽  
Basic Unit ◽  
Water Usage ◽  
Total Water Consumption ◽  
Domestic Use ◽  
Residential Water Consumption ◽  
Economic Perspectives ◽  
End Use ◽  
Policy Direction ◽  
Efficient Water Use

Daily total water consumption per capita has been used as a basic unit for the future planning of water supply for domestic use. However, for innovative water utilization designs that consider various scenarios, including the effects of policy direction and global warming, and more strategic and efficient water use, it is absolutely essential to consider water usage divided by residential activities, such as toilet flushing, cooking, clothes washing, and bathing. We collected micro-component data by direct measurement from each household outlet, and developed small accumulative meters. Measurements were conducted at 56 households for 2 months in Hanoi, Vietnam, and the average consumption was 18.6 L/p/d for toilet, 16.2 L/p/d for laundry, 10.4 L/p/d for bath, and 15.7 L/p/d for kitchen. We then analyzed the representative values and the distribution of water consumption for every usage from social and economic perspectives. In addition, we compared the results in Hanoi with those in Chiang Mai, Thailand, where we investigated water consumption a few years ago, and their value seemed similar except for bathroom use, but the substance was different. One distinct outcome of our investigation was the recognition of the cultural and methodological challenges to end-use assessment of water consumption in modernizing Asian communities.

scholarly journals What does rebounding water use look like? An examination of post-drought and post-flood water end-use demand in Queensland, Australia

2014 ◽  
Vol 14 (4) ◽  
pp. 561-568 ◽  
Author(s):  
C. D. Beal ◽  
A. Makki ◽  
R. A. Stewart
Keyword(s):  
Water Use ◽  
Water Consumption ◽  
Demand Management ◽  
Management Policy ◽  
Dry Period ◽  
Residential Water Consumption ◽  
End Use ◽  
Capacity Data ◽  
Residential Water

Rebounding water use behaviour has been observed in communities that have experienced plentiful water supply following a very dry period. However, the drivers of such rebounds in water consumption are varied and not well understood. Knowledge of such drivers can greatly assist managers towards proactive demand management, modelling and timely promotion of water efficient behaviours. Total and end-use residential water consumption has been tracked in South East Queensland, Australia for a sample of up to 252 homes in post-drought conditions (dam supplies growing but water restrictions continued, changed water use behaviours still ‘fresh’), and during and post-flooding conditions (eased restrictions, 100% dam capacity). Data on end-use water consumption trends using nearly 3 years of residential water end-use data have revealed several interesting patterns of consumption such as a delayed return to pre-drought use, the influence of climate and end-use specific rebounds (e.g. indoor versus outdoor use). The end-use data have helped to identify the drivers of rebounding water consumption which appear to include environmental cues (rainfall, temperature), social cues (e.g. government encouraging consumers to turn on tap) and a gradual general reduction in conservative water use behaviours. The paper concludes with a discussion of how this knowledge can be used to inform long-term demand management policy, particularly in variable climates.

Quantitative assessment of residential water end uses and greywater generation in the City of Al Ain

2014 ◽  
Vol 15 (1) ◽  
pp. 114-123 ◽  
Author(s):  
Rezaul K. Chowdhury ◽  
Walid El-Shorbagy ◽  
Mwafag Ghanma ◽  
Assem El-Ashkar
Keyword(s):  
United Arab Emirates ◽  
Water Consumption ◽  
Water Demand ◽  
Logistic Distribution ◽  
Water Abundance ◽  
Internal Water ◽  
Al Ain ◽  
The City ◽  
Water Uses ◽  
End Uses

Diversification of water sources and water demand reduction are two vital tools in maintaining the security of urban water supplies in the United Arab Emirates (UAE). Reuse of greywater for non-potable end uses can be an effective alternative, but this resource has not yet received much attention in the UAE. Since the generation of greywater significantly differs from country to country – depending on age, gender, habits, lifestyle, living standards and the degree of water abundance – an attempt was made to estimate internal water consumption and greywater generation in the city of Al Ain, UAE. The frequency and water requirement for personal water uses (e.g. showers, ablutions, teeth brushing, hand washing, face washing and toilet flushing) and family water uses (e.g. laundry, dish washing and house cleaning) were estimated from about 100 villa-type detached homes randomly distributed across the city. A frequency analysis was carried out using normal, lognormal, gamma and logistic distribution. The estimated average generation rate of greywater was found to be 192 litres per capita per day, which is about 69% of the average internal water consumption. The generated greywater originates from showers (49%), ablutions (18%), laundry (10%) and washbasins (23%). Based on average quantities, it was shown that the generated greywater is sufficient to fulfil the non-potable water demand in houses, but further, more rigorous, investigation is required.

Water demand: the Austrian end-use study and conclusions for the future

2013 ◽  
Vol 14 (2) ◽  
pp. 205-211 ◽  
Author(s):  
Roman Neunteufel ◽  
Laurent Richard ◽  
Reinhard Perfler
Keyword(s):  
Climate Change ◽  
Water Consumption ◽  
Water Demand ◽  
Personal Information ◽  
Residential Buildings ◽  
Meteorological Data ◽  
Age Distribution ◽  
Household Consumption ◽  
Single Family ◽  
End Use

Demographic and climate change will affect in the long term the total water consumption and therefore the planning and management of the related infrastructures. End-use studies provide information on water consumption and its influencing factors. However the availability of such detailed data is very limited. The research project carried out was based on total daily water consumption collected from 12 Austrian water supply areas for periods covering up to 10 years. The general data were complemented with high resolution measurements (ranging from day to 10 second intervals) of household consumption of residential buildings, semi-detached houses, single family homes, and weekend cottages as well as with meteorological data and comprehensive socio-economic and personal information. The major factors influencing residential household consumption are: demographic dynamics; age distribution; household size/family size; living conditions; and regional economic development. In the short term, water consumption is influenced by temperature, precipitation, day of the week and time. For residential consumption, these last parameters were found to be the main causes for the existing peak demands. Modernisation will lead to a further decrease of the indoor per capita water demand. The outdoor demand and its peaks are expected to increase due to climate change.

scholarly journals Quantifying the influence of environmental and water conservation attitudes on household end use water consumption

2011 ◽  
Vol 92 (8) ◽  
pp. 1996-2009 ◽  
Author(s):  
Rachelle M. Willis ◽  
Rodney A. Stewart ◽  
Kriengsak Panuwatwanich ◽  
Philip R. Williams ◽  
Anna L. Hollingsworth
Keyword(s):  
Water Consumption ◽  
Water Conservation ◽  
Conservation Attitudes ◽  
End Use

scholarly journals Non-residential water demand model validated with extensive measurements

2012 ◽  
Vol 5 (1) ◽  
pp. 455-471
Author(s):  
E. J. Pieterse-Quirijns ◽  
E. J. M. Blokker ◽  
E. van der Blom ◽  
J. H. G. Vreeburg
Keyword(s):  
Water Demand ◽  
Cold Water ◽  
Residential Buildings ◽  
Water System ◽  
Hot Water ◽  
Demand Model ◽  
Water Heater ◽  
Peak Demand ◽  
Design Rules ◽  
End Use

Abstract. Existing guidelines related to the water demand of non-residential buildings are outdated and do not cover hot water demand for the appropriate selection of hot water devices. Moreover, they generally overestimate peak demand values required for the design of an efficient and reliable water system. Recently, a procedure was developed based on the end-use model SIMDEUM® to derive design rules for peak demand values of both cold and hot water during various time steps for several types and sizes of non-residential buildings, i.e. offices, hotels and nursing homes. In this paper, the design rules are validated with measurements of cold and hot water patterns on a per second base. The good correlation between the simulated patterns and the measured patterns indicates that the basis of the design rules, the SIMDEUM simulated standardised buildings, is solid. Moreover, the SIMDEUM based rules give a better prediction of the measured peak values for cold water flow than the existing guidelines. Furthermore, the new design rules can predict hot water use well. In this paper it is illustrated that the new design rules lead to reliable and improved designs of building installations and water heater capacity, resulting in more hygienic and economical installations.

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