Optimal operation of a system of waste water treatment facilities

Kendrick, David A.; Rao, H. Suresh; Wells, Charles H.

doi:10.1109/sap.1970.269987

Cited by 11 publications

(2 citation statements)

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“…WWTPs may also need to be utilized in order to meet the growing need for water in some communities [32], [33], especially in arid regions. Some researchers have focused on solutions to optimize the operation of the WWTP [34], [35]. While power and water networks have been traditionally studied in isolation, in recent years, the coordinated operation of the two, in the form of an energy-water nexus, has gained much attention [36], [37].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Energy and Water Networks for Community Resilience against Natural Disasters

Joshi

Mohagheghi

2022

EJENERGY

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Large-scale natural disasters can severely damage the energy and water infrastructure, leading to disruption of services. In addition to raising possible health risks, lack of access to electricity and water can impede or prolong recovery from the disaster. To be resilient against such events, the electric power grid and the water distribution network must be able to continue operating with minimal impact on end-users and with constricted costs. Naturally, one approach is to reinforce the energy and water infrastructure against natural hazards. However, this may be cost-prohibitive or even infeasible. An alternative solution is to allocate sufficient localized resources such that these networks can continue operating at a decentralized scale until the main network is repaired and restored. In this paper, a solution is proposed to design a localized water and energy system that can serve a community affected by a natural disaster, with little external support. An optimization model is developed to optimally allocate resources, e.g., distributed energy resources and water storage capacity, based on the needs of the community and subject to operational constraints. Such decentralized systems can significantly improve the resilience of the energy and water networks and assist affected communities in the aftermath of disaster events.

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Section: Introductionmentioning

confidence: 99%

Decentralized Energy and Water Networks for Community Resilience against Natural Disasters

Joshi

Mohagheghi

2022

EJENERGY

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“…[16], Kendrick et al [8], Young and Beck [19], Tamura, [14] [15]) have been previously conducted for the control of DO and BOD concentrations in a river system. Young and Beck [19] have proposed a preliminary but sophisticated measure for DO and BOD control.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Eutrophication for a Reservoir: The Linear Quadratic Regulation Approach

Wu¹,

You²,

Kuo³

1997

Journal of the Chinese Institute of Engineers

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A new approach based on linear quadratic regulation (LQR) method is applied in this study to evaluate control strategies being decided by the optimal load reduction rates of influent nutrient for eutrophication management in a reservoir. Due to dynamic fluctuations occurring in the reservoir, proper adjustment of control strategies to the variations in water quality becomes necessary. Hence, to yield optimum results, a dynamic control strategy for the reservoir is needed. Feitsui Reservoir in northern Taiwan is used as a case study for the the models developed. Monitoring data obtained from Feitsui Reservoir is employed to verify the proposed method.A time invariant state-space eutrophication model is adopted in this study to predict the trophic state in the reservoir. The eutrophication model includes five water quality constituents (chlorophyll-a, NHrN, NOrN, N0 3 -N and P0 4 -P) and the LQR method is extended to the multi-variable system. Water quality in the reservoir is found to be mainly influenced by pollutants from nonpoint sources, particularly from agricultural activities. Moreover, hydrologic condition is also found to signifiicantly affect the trophic state. The trophic state in the reservoir is predicted by using the eutrophication model in combination with an ARMA (autoregressive/moving average) inflow model. Results of this study show that the state-space eutrophication model can predict water qualities well with limited data. Also, optimal dynamic control enables the reservoir operator to maintain the trophic level below a certain trophic state. The advantages of the proposed approach include: 1) the versatility of dealing with the multi-variable system, and 2) an efficient and economic management through dynamic optimization scheme for the control of reservoir eutrophication.

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