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Pioneer Use of Pseudo Sub-Daily Timestep Model for Rainwater Harvesting Analysis: Acceptance over Hourly Model and Exploring Accuracy of Different Operating Algorithms

Author

Listed:
  • Monzur A. Imteaz

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Hassaan Ahmad

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Iqbal Hossain

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

Abstract

This study investigates the effectiveness of a pseudo sub-daily timestep model, which uses 6-hourly variable demands and daily rainfall values split into four equal 6-hourly portions. To assess the achievements through such sub-daily model, simulations were conducted using 6-hourly YBS (yield before storage), 6-hourly YAS (yield after storage), daily YBS and daily YAS models using rainfall data from a station near Melbourne (Australia) city under different input conditions. Results from the developed models were compared with the results of an earlier developed hourly timestep model, which considered hourly rainfall data and hourly variable rainwater demands. From the results, it is found that the results of YAS models are more accurate compared to the results of YBS models. Considering only potential water savings, daily YAS model results are very similar to the 6-hourly YAS model results.

Suggested Citation

  • Monzur A. Imteaz & Hassaan Ahmad & Iqbal Hossain, 2023. "Pioneer Use of Pseudo Sub-Daily Timestep Model for Rainwater Harvesting Analysis: Acceptance over Hourly Model and Exploring Accuracy of Different Operating Algorithms," Sustainability, MDPI, vol. 15(5), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3870-:d:1075044
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    References listed on IDEAS

    as
    1. Mokhtar Guizani, 2016. "Storm Water Harvesting in Saudi Arabia: a Multipurpose Water Management Alternative," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1819-1833, March.
    2. Dumit Gómez, Yapur & Teixeira, Luiza Girard, 2017. "Residential rainwater harvesting: Effects of incentive policies and water consumption over economic feasibility," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 56-67.
    3. Monzur Alam Imteaz & Vassiliki Boulomytis, 2022. "Improvement of Rainwater Harvesting Analysis Through an Hourly Timestep Model in Comparison with a Daily Timestep Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2611-2622, June.
    4. Waseem, Muhammad & Lin, Zhenzhi & Liu, Shengyuan & Zhang, Zhi & Aziz, Tarique & Khan, Danish, 2021. "Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources," Applied Energy, Elsevier, vol. 290(C).
    5. Mokhtar Guizani, 2016. "Storm Water Harvesting in Saudi Arabia: a Multipurpose Water Management Alternative," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1819-1833, March.
    Full references (including those not matched with items on IDEAS)

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