An agent-based framework for high-resolution modeling of domestic water use

Wang, Yiming; Zhou, Yuyu; Franz, Kristie J.; Ding, Ke Jack; Jia, Gensuo; Yuan, Xing

doi:10.1016/j.resconrec.2021.105520

Cited by 12 publications

(11 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In order to account for the impact of attitudes on water consumption, we considered the findings from several recent studies that have demonstrated the impact of pro‐environmental attitudes on conservation behaviors (Boylu & Gunay, 2017; Gilg & Barr, 2006; Jorgensen et al., 2014; Obringer et al., 2022; Willis et al., 2011). As such, within our modeling framework, we added a constant increase or decrease in water consumption beyond the baseline water use (e.g., calculated following Wang et al., 2021) for each archetype. Following the calculations, the display plots the change to the modeled storage variable with the historical values.…”

Section: Methodsmentioning

confidence: 99%

“…Specifically, there are seven archetypes for consumer attitudes toward water conservation (see Supporting Information for further details). Using a formula developed by Wang et al (2021), we were able to extract the distribution of water consumption for each archetype. The agents are then randomly assigned an archetype based on the proportion of the observed archetypes, which then allows the agents to draw from a specific distribution of water consumption values.…”

Section: Entities State Variables and Scalesmentioning

confidence: 99%

See 1 more Smart Citation

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Obringer,

White

2024

J American Water Resour Assoc

View full text Add to dashboard Cite

Providing adequate water supply to the growing number of urban residents will be a challenge faced by many utility managers throughout the remainder of this century. Though traditionally, water managers have looked toward supply‐based solutions (e.g., expanding reservoirs), recent trends indicate a shift toward demand‐side management (e.g., encouraging conservation behaviors). Here, we present an agent‐based model (ABM) that simulates water supply as a function of the local climatic conditions and water consumption, which is, in part, determined based on water conservation attitudes. Our results indicate the ABM performs well (normalized root mean squared error <10%) for the study area. Further, we explore various hypothetical demand management scenarios by changing the water conservation attitudes of the households (i.e., the archetypes). This scenario testing reveals a statistically significant improvement to water availability after successfully changing water conservation attitudes to be more participatory. Ultimately, this study aims to understand the nuances of water conservation attitudes and aid utilities in their goal to better manage urban water demand.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Entities State Variables and Scalesmentioning

confidence: 99%

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Obringer,

White

2024

J American Water Resour Assoc

View full text Add to dashboard Cite

show abstract

“…2018; Wang et al. 2021). Most of these demand models have simulated independent variable effects on indoor demand; none have explored the implications of residential density on water demand.…”

Section: Methodsmentioning

confidence: 99%

“…These terms are used interchangeably in this analysis; a household is a group of people living in a housing unit (detached house, apartment, etc.). Every household has a unit of some BT they live in and every BT unit has a household Agent A group of households (determined by their BT) that have common characteristics and behave in the same way Resource costs Political and economic costs of public policy that attempts to increase residential density (see text for additional information) Xiao et al 2018;Wang et al 2021). Most of these demand models have simulated independent variable effects on indoor demand; none have explored the implications of residential density on water demand.…”

Section: Building Type (Bt)mentioning

confidence: 99%

Building Type, Housing Density, and Water Use: Denver Water Data and Agent‐Based Simulations

Sampson

Quay

Horrie³

2022

J American Water Resour Assoc

View full text Add to dashboard Cite

show abstract

“…A WJW Foundation (2018), cita que a grande quantidade de água utilizada em edifícios, seja empresarial ou residencial, não necessita ser potável e que na verdade 95 % da água usada em edifícios comerciais e 50 % da água utilizada em edifícios residenciais é para necessidades de água não potável. O uso doméstico, também, segue uma tendência crescente em virtude do crescimento populacional, condições dos padrões de vida e aumento da temperatura global, provocando mudanças na disponibilidade de água (Roshan & Kumar, 2020;Wang, et al, 2021).…”

Section: Introductionunclassified

Utilização de água de reuso como reposição de perda de água em torres de resfriamento

Marques

Filho²,

Santos³

2022

RSD

View full text Add to dashboard Cite

O reuso de água é uma necessidade global em virtude do crescimento da demanda tanto populacional quanto econômica. A falta de preocupação com as fontes naturais de água, alterações climáticas, além de hábitos de consumo acabam causando a diminuição da água potável. Organizações mundiais mostram esta situação, a Organização Mundial da Saúde (OMS), em relatório aponta que quase 663 milhões de pessoas no mundo vivem atualmente sem acesso a água potável e a Organização das Nações Unidas (ONU), cita que até 2050 seis bilhões de pessoas ficarão sem água para consumo. Esta situação levou vários países a criar processos alternativos de reaproveitamento de água objetivando a economia de água potável com a finalidade exclusiva para as necessidades humanas. O objetivo deste trabalho foi fazer um estudo mostrando a reutilização de água captadas de águas pluviais, sistemas de climatização e de pias e chuveiros de um edifício empresarial e direcionadas para uma estação de tratamento de água de reuso (ETAR), para posteriormente serem reutilizadas como reposição da perda de água em quatro torres de resfriamento. É apresentada a estrutura das torres de resfriamento e os processos da ETAR. Foi demonstrado, através de planilhas, os dados experimentais coletados de captação de água de reuso, obtidos em diversas áreas do edifício estudado, de janeiro a dezembro de 2021. O estudo teórico foi complementado com o desenvolvimento de cálculos matemáticos e concluiu que houve a captação de água de reuso de 10.828 m³/ano e uma perda de água pelas torres de 17.280 m³/ano.

show abstract

An agent-based framework for high-resolution modeling of domestic water use

Cited by 12 publications

References 46 publications

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Building Type, Housing Density, and Water Use: Denver Water Data and Agent‐Based Simulations

Utilização de água de reuso como reposição de perda de água em torres de resfriamento

Contact Info

Product

Resources

About