Smart Scheduling of Pump Control in Wastewater Networks Based on Electricity Spot Market Prices

Do, Phuong; Jolfaei, Neda Gorjian; Gorjian, Nima; Linden, Leon van der; Ahammed, Faisal; Rameezdeen, Raufdeen; Jin, Bo; Chow, Christopher W.K.

doi:10.1007/s41101-021-00104-1

Cited by 6 publications

(8 citation statements)

References 46 publications

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“…These two parameters should be divided into ranges representing different levels. For example, the electricity spot price ranges could be Low, Medium and High and the sewage levels Low, Low-Medium, High-Medium, and High [10]. Ranges of these two parameters are then combined to set up the rules to operate pumps.…”

Section: Discussionmentioning

confidence: 99%

“…The rules ensure when wet well level is high, wastewater is released to prevent the risk of spills, while when wastewater is close to empty, pumps are deactivated to protect pumps from running dry and waste of electrical energy. Further details on these pump control rules can be found in [10].…”

Section: Discussionmentioning

confidence: 99%

“…Han et al [9] investigated the impacts of volatility spill over dynamics across regions in NEM using a dataset throughout 8 years from 1 January 2010 until the end of 2017. In this study, South Australia electricity spot market was also selected for the investigation as the most current reference shows South Australia was always in the top two Australian mainland states which had higher annually average prices during the 2016-2019 period [10]. From the analysis on the electricity spot price data of South Australia, it has been shown that this pricing scheme should be considered in pumping control to obtain possible monetary savings in the Murray Bridge wastewater network [10].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, South Australia electricity spot market was also selected for the investigation as the most current reference shows South Australia was always in the top two Australian mainland states which had higher annually average prices during the 2016-2019 period [10]. From the analysis on the electricity spot price data of South Australia, it has been shown that this pricing scheme should be considered in pumping control to obtain possible monetary savings in the Murray Bridge wastewater network [10]. The purpose of this paper is to examine the spot market price behaviour to assess the feasibility of using it as a predictive input to the smart pump control system.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Impact of Spot Market Electricity Price on Wastewater Asset Management Strategy

Chow

Rameezdeen

et al. 2022

Water Conserv Sci Eng

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Development of an advanced pumping control scheme is one of the useful methods that can be applied in operational optimisation of wastewater pumps. Optimisation of pumping control can benefit the utility by overall cost saving using different electricity pricing schemes from the energy market. As electricity prices can be varied based on the spot market in some countries such as Australia, the consideration of operating the pumps at the most favourable electricity price, when managed correctly, can offer remarkable savings. This paper provides understanding on the electricity spot price behaviour of South Australia in the National Electricity Market (NEM). Half-hourly electricity spot price data of over 22 years from January 1999 to June 2021 were analysed to investigate the key characteristics of spot prices, including seasonality (intraday, intraweek and seasonal price patterns), spiky behaviour and occurrences of negative prices. In addition, the possible impacts of other factors on electricity spot prices such as electricity demand and weather conditions on pump control were examined. Results indicate a strong relationship between electricity demand and spot price with the Pearson correlation coefficient up to R = 0.95, and extreme high spot prices tended to occur on scorching days with the maximum temperature above 35 °C when air-conditioner usage was high. This paper also explains the importance of electricity spot prices in the wastewater pump on/off operations and analyses opportunities for cost savings by including electricity spot price forecasts as an input of the smart controller to enhance the efficiency of the real-time pumping control.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding the Impact of Spot Market Electricity Price on Wastewater Asset Management Strategy

Chow

Rameezdeen

et al. 2022

Water Conserv Sci Eng

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“…Meanwhile, practical guidance for pumping operations is generally not available; thus, wastewater operators activate or deactivate the pumps only according to their own expert knowledge and experience of the system generally resulting in higher operating energy costs (Kim et al 2006 ). A pump switching program that properly controls pump on/off applied into the wastewater network can lead to a great reduction in energy costs (Wei et al 2013 ), especially when the pumps are planned to operate with the precise estimation of electricity spot market prices and wastewater inflow rates (Do et al 2022 , 2021 ). Wastewater inflow forecasting plays an essential role in controlling pumping system of a wastewater network (Piri et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Wastewater inflow time series forecasting at low temporal resolution using SARIMA model: a case study in South Australia

Chow

Rameezdeen

et al. 2022

Environ Sci Pollut Res

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Forecasts of wastewater inflow are considered as a significant component to support the development of a real-time control (RTC) system for a wastewater pumping network and to achieve optimal operations. This paper aims to investigate patterns of the wastewater inflow behaviour and develop a seasonal autoregressive integrated moving average (SARIMA) forecasting model at low temporal resolution (hourly) for a short-term period of 7 days for a real network in South Australia, the Murray Bridge wastewater network/wastewater treatment plant (WWTP). Historical wastewater inflow data collected for a 32-month period (May 2016 to December 2018) was pre-processed (transformed into an hourly dataset) and then separated into two parts for training (80%) and testing (20%). Results reveal that there is seasonality presence in the wastewater inflow time series data, as it is heavily dependent on time of the day and day of the week. Besides, the SARIMA (1,0,3)(2,1,2)24 was found as the best model to predict wastewater inflow and its forecasting accuracy was determined based on the evaluation criteria including the root mean square error (RMSE = 5.508), the mean absolute value percent error (MAPE = 20.78%) and the coefficient of determination (R2 = 0.773). From the results, this model can provide wastewater operators curial information that supports decision making more effectively for their daily tasks on operating their systems in real-time.

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Energy-Efficient Joint Scheduling of Pumps and Valves in Water Distribution Network Using Hybrid Optimization Algorithm

Pandurang,

Deore,

Pawar

et al. 2023

Environmental Claims Journal

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Smart Scheduling of Pump Control in Wastewater Networks Based on Electricity Spot Market Prices

Cited by 6 publications

References 46 publications

Understanding the Impact of Spot Market Electricity Price on Wastewater Asset Management Strategy

Understanding the Impact of Spot Market Electricity Price on Wastewater Asset Management Strategy

Wastewater inflow time series forecasting at low temporal resolution using SARIMA model: a case study in South Australia

Energy-Efficient Joint Scheduling of Pumps and Valves in Water Distribution Network Using Hybrid Optimization Algorithm

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