A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Robust Planning Decision Model for an Integrated Water System
AbstractA critical issue faced by the water industry is to efficiently manage limited water supplies to satisfy water demand from different sections (e.g., industrial, agricultural, energy and residential) and provide fresh and reliable sources of water for people’s everyday life. Most existing research focuses on either water consumption planning (e.g., supply–demand balance) or water postconsumption planning (e.g., wastewater planning). It is expected to be more cost-effective to integrate the water consumption and postconsumption planning into a holistic model since they are highly interdependent. In this research, a closed-loop integrated water system including sources, water plants, end users, and wastewater systems is modeled using the network theory, and a robust planning decision model is developed to minimize the total system costs including operation costs (e.g., water production and distribution costs, and wastewater treatment costs) and penalty costs associated with directly emitting untreated wastewater to the environment. Various levels of uncertainties from both water demand and pipeline efficiencies are considered. Three sets of experiments are developed to test the effectiveness of the proposed decision model. The experimental results conclude that (1) the integrated decision approach can achieve more cost savings compared to separated decision processes for both the deterministic and stochastic scenarios; (2) the authors’ proposed robust model can provide good balance between system robustness and cost; and (3) the integrated water system is more cost-effective when the water processing cost is dynamic, which highlights the benefits of the inventory and on-site third-party water plants. Analogous to the smart power-grid innovation, which employs on-site generation and storage systems to improve energy efficiency and environmental sustainability, the authors’ proposed model demonstrates the benefits of using on-site inventory and third-party water plants to renovate the existing water infrastructure for more cost savings and reduced environmental impacts.
Robust Planning Decision Model for an Integrated Water System
AbstractA critical issue faced by the water industry is to efficiently manage limited water supplies to satisfy water demand from different sections (e.g., industrial, agricultural, energy and residential) and provide fresh and reliable sources of water for people’s everyday life. Most existing research focuses on either water consumption planning (e.g., supply–demand balance) or water postconsumption planning (e.g., wastewater planning). It is expected to be more cost-effective to integrate the water consumption and postconsumption planning into a holistic model since they are highly interdependent. In this research, a closed-loop integrated water system including sources, water plants, end users, and wastewater systems is modeled using the network theory, and a robust planning decision model is developed to minimize the total system costs including operation costs (e.g., water production and distribution costs, and wastewater treatment costs) and penalty costs associated with directly emitting untreated wastewater to the environment. Various levels of uncertainties from both water demand and pipeline efficiencies are considered. Three sets of experiments are developed to test the effectiveness of the proposed decision model. The experimental results conclude that (1) the integrated decision approach can achieve more cost savings compared to separated decision processes for both the deterministic and stochastic scenarios; (2) the authors’ proposed robust model can provide good balance between system robustness and cost; and (3) the integrated water system is more cost-effective when the water processing cost is dynamic, which highlights the benefits of the inventory and on-site third-party water plants. Analogous to the smart power-grid innovation, which employs on-site generation and storage systems to improve energy efficiency and environmental sustainability, the authors’ proposed model demonstrates the benefits of using on-site inventory and third-party water plants to renovate the existing water infrastructure for more cost savings and reduced environmental impacts.
Robust Planning Decision Model for an Integrated Water System
Ghassemi, Afshin (author) / Zhou, Zhi / Hu, Mengqi
2017
Article (Journal)
English
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