Simulation based programming for optimization of large-scale rainwater harvesting system: Malaysia case study |
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| Institution: | 1. Process System Engineering Centre (PROSPECT), Faculty of Chemical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia;2. Institute of Environmental & Water Resource Management (IPASA), Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia;1. Department of Civil and Environmental Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, Bangladesh;2. Department of Civil & Construction Engineering, Swinburne University of Technology, Melbourne, VIC, Australia;1. Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, Australia;2. Department of Civil Engineering, University Putra Malaysia, Kuala Lumpur, Malaysia;3. Department of Civil Engineering, University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal;1. Laboratory of Energy Efficiency in Buildings, Department of Civil Engineering, Federal University of Santa Catarina, Florianópolis, SC 88040-900, Brazil;2. Smart Water Research Centre, Griffith University, Gold Coast Campus, Australia;3. Centre for Infrastructure Engineering and Management, Griffith University, Gold Coast Campus, Queensland 4222, Australia;1. Sustainable Environment and Energy Systems, Middle East Technical University, Northern Cyprus Campus, Kalkanlı, Mersin 10, Turkey;2. Business Administration Program, Middle East Technical University, Northern Cyprus Campus, Kalkanlı, Mersin 10, Turkey;3. Civil Engineering Program, Middle East Technical University, Northern Cyprus Campus, Kalkanlı, Mersin 10, Turkey |
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| Abstract: | Large scale rainwater harvesting (LSRWH) is a promising alternative to address security and flood issues in urban areas. The development and planning of a LSRWH for an eco-community involves comprehensive site-planning, systems planning and design, which includes the rainwater source collection (roof) to the storage tank, the distribution and allocation system. This paper describes a new technique for designing a LSRWH for a community of 200 houses with an average of 4 persons per house and an average total daily water demand of 160 m3. It was found that the optimal size storage tank for a 20,000 m2 roof area is 160 m3 with a 60% reliability. The application of this model to the case study revealed a significant water saving up to 58% .The total cost for this system is 443,861 USD over a life-span of 25 years. |
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| Keywords: | Large-scale rainwater harvesting Cost effective Eco-community Water saving Simulation Optimization |
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