A combined simulation-optimisation modelling framework for assessing the energy use of urban water systems. (15th November 2020)
- Record Type:
- Journal Article
- Title:
- A combined simulation-optimisation modelling framework for assessing the energy use of urban water systems. (15th November 2020)
- Main Title:
- A combined simulation-optimisation modelling framework for assessing the energy use of urban water systems
- Authors:
- Arora, Meenakshi
Nair, Sudeep
Malano, Hector
George, Biju - Abstract:
- Abstract: Reliance on new and alternative water supply sources is a desirable option for upgrading existing and ageing urban water system infrastructure that is no longer able to cater for steadily increasing water demand. This transformation will increasingly involve the use of decentralised, more complex and energy intensive urban water systems. Modelling capability that takes a holistic systems approach to optimize the dynamic interactions between water and energy is needed to evaluate the performance of fit-for-purpose water supply systems for the urban sector. This paper presents a simulation-optimisation model to concurrently simulate and optimize an urban water supply system based on minimum energy use when water of alternative quality is supplied to different users on a 'fit-for-purpose' basis. The model uses a System Dynamics approach to simulate the energy use of different water supply systems in the form of stocks and flows combined with a Genetic Algorithm (GA) technique to optimize energy use while satisfying all the water demands. The comprehensive model framework is built on a Matlab/Simulink® platform. Life Cycle Energy Assessment (LCEA) is used to generate the embodied energy use variables which are input to the simulation-optimisation model. The model is sufficiently flexible to accommodate water supply systems of variable spatial scales and analyse water and energy use at variable time scales. The application of the modelling framework on the Aurora urbanAbstract: Reliance on new and alternative water supply sources is a desirable option for upgrading existing and ageing urban water system infrastructure that is no longer able to cater for steadily increasing water demand. This transformation will increasingly involve the use of decentralised, more complex and energy intensive urban water systems. Modelling capability that takes a holistic systems approach to optimize the dynamic interactions between water and energy is needed to evaluate the performance of fit-for-purpose water supply systems for the urban sector. This paper presents a simulation-optimisation model to concurrently simulate and optimize an urban water supply system based on minimum energy use when water of alternative quality is supplied to different users on a 'fit-for-purpose' basis. The model uses a System Dynamics approach to simulate the energy use of different water supply systems in the form of stocks and flows combined with a Genetic Algorithm (GA) technique to optimize energy use while satisfying all the water demands. The comprehensive model framework is built on a Matlab/Simulink® platform. Life Cycle Energy Assessment (LCEA) is used to generate the embodied energy use variables which are input to the simulation-optimisation model. The model is sufficiently flexible to accommodate water supply systems of variable spatial scales and analyse water and energy use at variable time scales. The application of the modelling framework on the Aurora urban development estate, Australia, shows that the model produces essential information about the water supply and energy use intensity according to specified criteria. Highlights: A modelling framework for 'fit-for-purpose' urban water supply systems is presented. The framework consists of three modules: 1) LCEA ii) SDM iii) Optimisation. All relevant infrastructure, processes and sclaes were considered. The modeling framework was applied it to a new greenfield development site. Both operational and embodied energy use are significant. … (more)
- Is Part Of:
- Journal of environmental management. Volume 274(2020)
- Journal:
- Journal of environmental management
- Issue:
- Volume 274(2020)
- Issue Display:
- Volume 274, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 274
- Issue:
- 2020
- Issue Sort Value:
- 2020-0274-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-15
- Subjects:
- Urban water system -- Model framework -- Simulation-optimisation -- Fit-for-purpose -- System dynamics Model (SDM) -- Life cycle energy assessment (LCEA) -- Stocks and flows -- Genetic algorithm (GA)
Environmental policy -- Periodicals
Environmental management -- Periodicals
Environment -- Periodicals
Ecology -- Periodicals
363.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014797 ↗
http://www.elsevier.com/journals ↗
http://www.idealibrary.com ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.jenvman.2020.111166 ↗
- Languages:
- English
- ISSNs:
- 0301-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.383000
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British Library HMNTS - ELD Digital store - Ingest File:
- 14656.xml