A review of operational control strategies in water supply systems for energy and cost efficiency
Tài liệu tham khảo
Helmbrecht, 2017, “Smart Solution to Improve Water-energy Nexus for Water Supply Systems”, Procedia Eng., vol. 186, 101, 10.1016/j.proeng.2017.03.215
Luna, 2019, “Improving energy efficiency in water supply systems with pump scheduling optimization”, J. Clean. Prod., 213, 342, 10.1016/j.jclepro.2018.12.190
2015
2018
2019
2016
Bagloee, 2018, “Minimization of water pumps’ electricity usage: A hybrid approach of regression models with optimization”, Expert Syst. Appl., 107, 222, 10.1016/j.eswa.2018.04.027
European Commission, Directorate-General for Environment, “The EU Water Framework Directive”, Publ. Off., 2014, [Online]. Accessed January 21, 2022, Available: https://data.europa.eu/doi/10.2779/75229.
Coelho, 2014, “Efficiency achievement in water supply systems—A review”, Renew. Sustain. Energy Rev., 30, 59, 10.1016/j.rser.2013.09.010
Howell, 2017, “Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources”, Renew. Sustain. Energy Rev., 77, 193, 10.1016/j.rser.2017.03.107
Jabir, 2018, “Impacts of Demand-Side Management on Electrical Power Systems: A Review”, Energies, 11 p. 1050, 10.3390/en11051050
Menke, 2016, “Demonstrating demand response from water distribution system through pump scheduling”, Appl. Energy,, 170, 377, 10.1016/j.apenergy.2016.02.136
Menke, 2017, “Investigating trade-offs between the operating cost and greenhouse gas emissions from water distribution systems”, Sustain. Energy Technol. Assessments, 21, 13, 10.1016/j.seta.2017.03.002
Diaz, 2017, “Modeling and control of water booster pressure systems as flexible loads for demand response”, Appl. Energy, 204, 106, 10.1016/j.apenergy.2017.06.094
Hamiche, 2016, “A review of the water-energy nexus”, Renew. Sustain. Energy Rev., 65, 319, 10.1016/j.rser.2016.07.020
Gjorgiev, 2017, “Water-energy nexus: Impact on electrical energy conversion and mitigation by smart water resources management”, Energy Convers. Manag., 148, 1114, 10.1016/j.enconman.2017.06.053
Oikonomou, 2018, “Integrating water distribution energy flexibility in power systems operation”, IEEE Power Energy Soc. Gen. Meet., 1
Oikonomou, 2019, “Optimal Coordination of Water Distribution Energy Flexibility With Power Systems Operation”, IEEE Trans. Smart Grid, 10, 1101, 10.1109/TSG.2018.2824308
Alegre, 2017
Borges, 2016
Swamee, 2008
Gordon-Walker, 2002
2020
Paterakis, 2016, “An overview of Demand Response: Key-elements and international experience”, Renew. Sustain. Energy Rev., 69, 871, 10.1016/j.rser.2016.11.167
Khan, 2016, “Load forecasting, dynamic pricing and DSM in smart grid: A review”, Renew. Sustain. Energy Rev., 54, 1311, 10.1016/j.rser.2015.10.117
Li, 2019, “Micro Water–Energy Nexus: Optimal Demand-Side Management and Quasi-Convex Hull Relaxation”, IEEE Trans. Control Netw. Syst., 6, 1313, 10.1109/TCNS.2018.2889001
Kernan, 2017, “Demand side management of an urban water supply using wholesale electricity price”, Appl. Energy, 189, 395, 10.1016/j.apenergy.2016.12.082
Mkireb, 2019, “Robust optimization of demand response power bids for drinking water systems”, Appl. Energy, 238, 1036, 10.1016/j.apenergy.2019.01.124
Antunes, 2018, “Short-term water demand forecasting using machine learning techniques”, J. Hydroinformatics, 20, 1343, 10.2166/hydro.2018.163
Mala-Jetmarova, 2018, "Lost in optimisation of water distribution systems?, A Literature Review of System Design" , Water Mar., 10, 307
Ramos, 2022, "New Challenges towards Smart Systems’ Efficiency by Digital Twin in Water Distribution Networks”, Water, 14
Sharif, 2019, “Water–energy nexus for water distribution systems: a literature review”, Environ. Rev., 27, 519, 10.1139/er-2018-0106
Vakilifard, 2018, “The role of water-energy nexus in optimising water supply systems – review of techniques and approaches”, Renew. Sustain. Energy Rev., 82, 1424, 10.1016/j.rser.2017.05.125
Mutchek, 2014, "Moving Towards Sustainable and Resilient Smart Water Grids”, Challenges, 5, 123
Lalle, 2021, “Communication technologies for Smart Water Grid applications: Overview, opportunities, and research directions”, Comput. Network, 190, 10.1016/j.comnet.2021.107940
Cherchi, 2015, Energy and water quality management systems for water utility’s operations: A review, J. Environ. Manage., 153, 108, 10.1016/j.jenvman.2015.01.051
von Ditfurth, 2021
Allen, 2012, “Case study: a smart water grid in Singapore”, Water Pract. Technol., 7, 10.2166/wpt.2012.089
Water, 2016, “Managing the water distribution network with a Smart Water Grid”, Smart Water, 1, 4, 10.1186/s40713-016-0004-4
Koo, 2021, “Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in Yeong Jong Island, Korea”, Sustainability, 13, 5325, 10.3390/su13095325
Lee, 2015, “Smart water grid: the future water management platform”, Desalination Water Treat., 55, 339, 10.1080/19443994.2014.917887
Trietsch, 2018
Doorn, 2021, “Artificial intelligence in the water domain: Opportunities for responsible use”, Sci. Total Environ., 755, 142561, 10.1016/j.scitotenv.2020.142561
Kara, 2016, “Hydraulic Modeling of a Water Distribution Network in a Tourism Area with Highly Varying Characteristics”, Procedia Eng., 162, 521, 10.1016/j.proeng.2016.11.096
Teixeira, 2006
Ormsbee, 1997, “Calibrating hydraulic network models: To a novice, careful calibration of a hydraulic network model may be as daunting a task as climbing Mt. Everest”, J. Am. Water Works Assoc.,, 89, 42, 10.1002/j.1551-8833.1997.tb08177.x
Pesantez, 2021
Abu-Mahfouz, 2019, “Real-time dynamic hydraulic model of water distribution networks”, Water, Mar, 11, 470, 10.3390/w11030470
Farmani, 2007, “Real-time modelling of a major water supply system”, Proc. Inst. Civ. Eng. - Water Manag., 160, 103, 10.1680/wama.2007.160.2.103
de Souza Groppo, 2019, "Predicting water demand: a review of the methods employed and future possibilities", Water Supply, 19, 2179, 10.2166/ws.2019.122
Vijai, 2018, “Performance comparison of techniques for water demand forecasting”, Procedia Comput. Sci., 143, 258, 10.1016/j.procs.2018.10.394
Coelho, 2012, “Analysis of diverse optimisation algorithms for pump scheduling in water supply systems”, 3rd Int. Conf. Eng. Optim., 1
Marques, 2015, “Multi-objective optimization of water distribution systems based on a real options approach”, Environ. Model. Softw., 63, 1, 10.1016/j.envsoft.2014.09.014
von Lucken, 2018, “Pump scheduling optimization using asynchronous parallel evolutionary algorithms”, CLEI Electron. J., 7
Carrijo, 2004, “Operational optimization of WDS based on multiobjective genetic algorithms and operational extraction rules using data mining”, 1
Odan, 2015, “Real-time multiobjective optimization of operation of water supply systems”, J Water Resour. Plann. Manag., 141, 10.1061/(ASCE)WR.1943-5452.0000515
Alvisi, 2016, “A Methodology for Pumping Control Based on Time Variable Trigger Levels”, Procedia Eng., 162, 365, 10.1016/j.proeng.2016.11.076
Abiodun, 2013, “Pump scheduling optimization model for water supply system using AWGA”, 12
Wu, 2008, "Multi-objective genetic algorithm optimization of water distribution systems accounting for sustainability", Water Down Under Conference
Briceño-León, 2021, “Use of Fixed and Variable Speed Pumps in Water Distribution Networks with Different Control Strategies”, Water, 13, 479, 10.3390/w13040479
Marchi, 2012, “Assessing variable speed pump efficiency in water distribution systems”, Drink. Water Eng. Sci., 5, 15, 10.5194/dwes-5-15-2012
Lai, 2020, “Improving reliability of pumps in parallel pump systems using Particle swam optimization approach”, IEEE Access, 8, 58427, 10.1109/ACCESS.2020.2980396
Arun Shankar, 2016, “A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system”, Appl. Energy, 181, 495, 10.1016/j.apenergy.2016.08.070
Kurian, 2018, “Optimal operation of water distribution networks with intermediate storage facilities”, Comput. Chem. Eng., 119, 215, 10.1016/j.compchemeng.2018.04.017
Moreira, 2013, “Energy cost optimization in a water supply system case study”, J. Energy, 1, 10.1155/2013/620698
Wu, 2007, “A benchmark study for minimizing energy cost of constant and variable speed pump operation”, 1
Hashemi, 2014, “Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks”, Urban Water J., 11, 335, 10.1080/1573062X.2013.795233
Burgschweiger, 2009, “Optimization models for operative planning in drinking water networks”, Optim. Eng., 10, 43, 10.1007/s11081-008-9040-8
Abdallah, 2019, “Fast Pump Scheduling Method for Optimum Energy Cost and Water Quality in Water Distribution Networks with Fixed and Variable Speed Pumps”, J. Water Resour. Plan. Manag., 145, 04019055, 10.1061/(ASCE)WR.1943-5452.0001123
Menke, 2016, “Modeling variable speed pumps for optimal pump scheduling”, 199
Wu, 2015, “Optimization Research of Parallel Pump System for Improving Energy Efficiency”, J. Water Resour. Plan. Manag., 141, 04014094, 10.1061/(ASCE)WR.1943-5452.0000493
Bohórquez, 2015, “Pumping Pattern Optimization in Order to Reduce WDS Operation Costs”, Procedia Eng., 119, 1069, 10.1016/j.proeng.2015.08.936
Bene, 2012, “Finding Least-Cost Pump Schedules for Reservoir Filling with a Variable Speed Pump”, J. Water Resour. Plan. Manag., 138, 682, 10.1061/(ASCE)WR.1943-5452.0000213
van Zyl, 2004, “Operational optimization of water distribution systems using a hybrid genetic algorithm”, J. Water Resour. Plann. Manag., 130, 160, 10.1061/(ASCE)0733-9496(2004)130:2(160)
Monsef, 2018, “Pressure management in water distribution systems in order to reduce energy consumption and background leakage”, J. Water Supply Res. Technol. - AQUA, 67, 397, 10.2166/aqua.2018.002
University of Kentucky, “Battle of the Water Network Models”, Water Distribution System Research Database, University of Kentucky. [Online]. Accessed March 26, 2021, Available: https://uknowledge.uky.edu/wdst_models/.
van Staden, 2011, “A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges”, Appl. Energy, 88, 4785, 10.1016/j.apenergy.2011.06.054
Cimorelli, 2020, “Boosting genetic algorithm performance in pump scheduling problems with a novel decision-variable representation”, J. Water Resour. Plann. Manag., 146, 10.1061/(ASCE)WR.1943-5452.0001198
Kernan, 2016, “Management of public water supply to reduce energy cost and improve wind power uptake”, 1
Menke, 2017, “Extending the Envelope of Demand Response Provision through Variable Speed Pumps”, Procedia Eng., 186, 584, 10.1016/j.proeng.2017.03.274
Tadokoro, 2020, “Water supply control system for smarter electricity power usage adopting demand-response scheme”, Water Supply, 20, 140, 10.2166/ws.2019.143
Tang, 2014, “Optimal control approaches of pumping stations to achieve energy efficiency and load shifting”, Int. J. Electr. Power Energy Syst., 55, 572, 10.1016/j.ijepes.2013.10.023
Liu, 2020, “Optimization framework to assess the demand response capacity of a water distribution system”, J. Water Resour. Plann. Manag., 146, 10.1061/(ASCE)WR.1943-5452.0001258
Barán, 2005, “Multi-objective pump scheduling optimisation using evolutionary strategies”, Adv. Eng. Softw., 36, 39, 10.1016/j.advengsoft.2004.03.012
Rao, 2007, “Development of a real-time, near-optimal control process for water-distribution networks”, J. Hydroinformatics, 9, 25, 10.2166/hydro.2006.015
Costa, 2016, “A Branch-and-Bound Algorithm for Optimal Pump Scheduling in Water Distribution Networks”, Water Resour. Manag., 30, 1037, 10.1007/s11269-015-1209-2
Takahashi, 2017, “Water Supply Operation and Scheduling System with Electric Power Demand Response Function”, Procedia Eng., 186, 327, 10.1016/j.proeng.2017.03.257
Tricarico, 2018, “Optimal energy recovery by means of pumps as turbines (PATs) for improved WDS management”, Water Supply, 18, 1365, 10.2166/ws.2017.202
Moazeni, 2021, “Optimal energy management of water-energy networks via optimal placement of pumps-as-turbines and demand response through water storage tanks”, Appl. Energy, 283, 116335, 10.1016/j.apenergy.2020.116335
Fontana, 2012, “Losses Reduction and Energy Production in Water-Distribution Networks”, J. Water Resour. Plan. Manag., 138, 237, 10.1061/(ASCE)WR.1943-5452.0000179
Coelho, 2018, “Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines”, J Water Resour. Plann. Manag., 144, 10.1061/(ASCE)WR.1943-5452.0000894
Al-Waeli, 2017, Evaluation of the Economic and Environmental Aspects of Using Photovoltaic Water Pumping System, Lecture Notes in Electrical Engineering, 398, 715, 10.1007/978-981-10-1721-6_78
Ramos, 2011, “Environmentally friendly hybrid solutions to improve the energy and hydraulic efficiency in water supply systems”, Energy Sustain. Dev., 15, 436, 10.1016/j.esd.2011.07.009
Telci, 1464, “Optimal Energy Recovery from Water Distribution Systems Using Smart Operation Scheduling”, Water, 10, 10.3390/w10101464
Alvisi, 2017, “A robust approach based on time variable trigger levels for pump control”, J. Hydroinformatics, 19, 811, 10.2166/hydro.2017.141
Macme, 1995, "Application of Genetic Algorithms to Pump Scheduling for Water Supply", Genetic Algorithms in Engineering Systems: Innovations and Applications, 400
Costa, 2010, “Hybrid genetic algorithm in the optimization of energy costs in water supply networks”, Water Supply, 10, 315, 10.2166/ws.2010.194
2014, “Committee Report: Trends in water distribution system modeling”, American Water Works Association, 106, 51, 10.5942/jawwa.2014.106.0145
Valverde-Pérez, 2021, “Digital Water: Operational digital twins in the urban water sector”, Int. Water Assoc.