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Type: Conference paper
Title: An optimised energy saving model for pump scheduling in wastewater networks
Author: Gorjian Jolfaei, N.
Jin, B.
Chow, C.
Bressan, F.
Gorjian, N.
Citation: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery, 2019 / pp.197-208
Publisher: Springer
Issue Date: 2019
Series/Report no.: Lecture Notes in Mechanical Engineering
ISBN: 978-3-319-95710-4
ISSN: 2195-4356
Conference Name: World Congress on Engineering Asset Management and the International Conference on Vibration Engineering and Technology of Machinery (02 Aug 2017 - 04 Aug 2017 : Brisbane, Australia)
Statement of
Neda Gorjian Jolfaei, Bo Jin, Christopher Chow, Flavio Bressan and Nima Gorjian
Abstract: The cost of electricity used for pumping in water and wastewater networks typically represents the largest part of the total operational costs. These days, South Australia has the highest electricity rate in Australia. Hence, energy management is becoming increasingly more critical in water and wastewater sectors in this state. Most sewer networks and pump stations operate based on the common high/low sewage levels and not taking into account energy costs associated with pumping. Scheduling the pumps in these systems is a smart choice for saving more electricity cost. The intelligent and smart control of the utility’s assets could present operational cost saving opportunities by considering the price of purchased electricity from the spot market; however, this must be balanced with the environmental constraints to manage system odours, spills and overflow. The purpose of this study is to improve and optimise the pump control switching with the aim of reducing electricity consumption costs. To this end, the hydraulic modelling approach using Infoworks ICM has been used to simulate the performance of the pump controller. This model considers both the electricity spot price and sump elevation as inputs into smart control logic programming to operate pumps more efficiently. Results show this smart controller improves conventional pump switching models in terms of energy optimising and cost savings.
Rights: © Springer Nature Switzerland AG 2019
RMID: 0030105442
DOI: 10.1007/978-3-319-95711-1_20
Appears in Collections:Chemical Engineering publications

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