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Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application

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Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application

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dc.contributor.author Pérez-Sánchez, Modesto es_ES
dc.contributor.author Sánchez-Romero, Francisco-Javier es_ES
dc.contributor.author Ramos, Helena M. es_ES
dc.contributor.author López Jiménez, Petra Amparo es_ES
dc.date.accessioned 2020-04-17T12:49:29Z
dc.date.available 2020-04-17T12:49:29Z
dc.date.issued 2017 es_ES
dc.identifier.issn 2073-4441 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140884
dc.description.abstract [EN] Analyses of possible synergies between energy recovery and water management are essential for achieving sustainable advances in the performance of pressurized irrigation networks. Nowadays, the use of micro hydropower in water systems is being analysed to improve the overall energy efficiency. In this line, the present research is focused on the proposal and development of a novel optimization strategy for increasing the energy efficiency in pressurized irrigation networks by energy recovering. The recovered energy is maximized considering different objective functions, including feasibility index: the best energy converter must be selected, operating in its best efficiency conditions by variation of its rotational speed, providing the required flow in each moment. These flows (previously estimated through farmers¿ habits) are compared with registered values of flow in the main line with very suitable calibration results, getting a Nash¿Sutcliffe value above 0.6 for different time intervals, and a PBIAS index below 10% in all time interval range. The methodology was applied to a Vallada network obtaining a maximum recovered energy of 58.18 MWh/year (41.66% of the available energy), improving the recovered energy values between 141 and 184% when comparing to energy recovery considering a constant rotational speed. The proposal of this strategy shows the real possibility of installing micro hydropower machines to improve the water¿energy nexus management in pressurized systems. es_ES
dc.description.sponsorship This research was supported by the program to support the academic career of the faculty of the Universitat Politecnica de Valencia 2016/2017 in the project "Maximization of the global efficiency in PATs in laboratory facility" of the first author. Besides, the authors wish to thank to the project REDAWN (Reducing Energy Dependency in Atlantic Area Water Networks) EAPA_198/2016 from INTERREG ATLANTIC AREA PROGRAMME 2014-2020 and CERIS (CEHIDRO-IST). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Water es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Irrigation systems es_ES
dc.subject Optimization strategy es_ES
dc.subject Water-energy nexus es_ES
dc.subject Pump working as turbine es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.title Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/w9100799 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Interreg//EAPA_198%2F2016/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Pérez-Sánchez, M.; Sánchez-Romero, F.; Ramos, HM.; López Jiménez, PA. (2017). Optimization Strategy for Improving the Energy Efficiency of Irrigation Systems by Micro Hydropower: Practical Application. Water. 9(10). https://doi.org/10.3390/w9100799 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/w9100799 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 10 es_ES
dc.relation.pasarela S\344321 es_ES
dc.contributor.funder Interreg es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.description.references Goonetilleke, A., & Vithanage, M. (2017). Water Resources Management: Innovation and Challenges in a Changing World. Water, 9(4), 281. doi:10.3390/w9040281 es_ES
dc.description.references Coelho, B., & Andrade-Campos, A. (2014). Efficiency achievement in water supply systems—A review. Renewable and Sustainable Energy Reviews, 30, 59-84. doi:10.1016/j.rser.2013.09.010 es_ES
dc.description.references Nogueira Vilanova, M. R., & Perrella Balestieri, J. A. (2014). Energy and hydraulic efficiency in conventional water supply systems. Renewable and Sustainable Energy Reviews, 30, 701-714. doi:10.1016/j.rser.2013.11.024 es_ES
dc.description.references McNabola, A., Coughlan, P., Corcoran, L., Power, C., Prysor Williams, A., Harris, I., … Styles, D. (2013). Energy recovery in the water industry using micro-hydropower: an opportunity to improve sustainability. Water Policy, 16(1), 168-183. doi:10.2166/wp.2013.164 es_ES
dc.description.references Lydon, T., Coughlan, P., & McNabola, A. (2017). Pump-As-Turbine: Characterization as an Energy Recovery Device for the Water Distribution Network. Journal of Hydraulic Engineering, 143(8), 04017020. doi:10.1061/(asce)hy.1943-7900.0001316 es_ES
dc.description.references Pasten, C., & Santamarina, J. C. (2012). Energy and quality of life. Energy Policy, 49, 468-476. doi:10.1016/j.enpol.2012.06.051 es_ES
dc.description.references Kanakoudis, V., & Papadopoulou, A. (2014). Allocating the cost of the carbon footprint produced along a supply chain, among the stakeholders involved. Journal of Water and Climate Change, 5(4), 556-568. doi:10.2166/wcc.2014.101 es_ES
dc.description.references Kanakoudis, V., Tsitsifli, S., & Papadopoulou, A. (2012). Integrating the Carbon and Water Footprints’ Costs in the Water Framework Directive 2000/60/EC Full Water Cost Recovery Concept: Basic Principles Towards Their Reliable Calculation and Socially Just Allocation. Water, 4(1), 45-62. doi:10.3390/w4010045 es_ES
dc.description.references Kanakoudis, V. (2014). Three alternative ways to allocate the cost of the CF produced in a water supply and distribution system. Desalination and Water Treatment, 54(8), 2212-2222. doi:10.1080/19443994.2014.934117 es_ES
dc.description.references George, B., Malano, H., Davidson, B., Hellegers, P., Bharati, L., & Massuel, S. (2011). An integrated hydro-economic modelling framework to evaluate water allocation strategies I: Model development. Agricultural Water Management, 98(5), 733-746. doi:10.1016/j.agwat.2010.12.004 es_ES
dc.description.references Huesemann, M. H. (2002). The limits of technological solutions to sustainable development. Clean Technologies and Environmental Policy, 5(1), 21-34. doi:10.1007/s10098-002-0173-8 es_ES
dc.description.references Sitzenfrei, R., & von Leon, J. (2014). Long-time simulation of water distribution systems for the design of small hydropower systems. Renewable Energy, 72, 182-187. doi:10.1016/j.renene.2014.07.013 es_ES
dc.description.references Patelis, M., Kanakoudis, V., & Gonelas, K. (2016). Pressure Management and Energy Recovery Capabilities Using PATs. Procedia Engineering, 162, 503-510. doi:10.1016/j.proeng.2016.11.094 es_ES
dc.description.references Patelis, M., Kanakoudis, V., & Gonelas, K. (2017). Combining pressure management and energy recovery benefits in a water distribution system installing PATs. Journal of Water Supply: Research and Technology - Aqua, jws2017018. doi:10.2166/aqua.2017.018 es_ES
dc.description.references Fecarotta, O., Aricò, C., Carravetta, A., Martino, R., & Ramos, H. M. (2014). Hydropower Potential in Water Distribution Networks: Pressure Control by PATs. Water Resources Management, 29(3), 699-714. doi:10.1007/s11269-014-0836-3 es_ES
dc.description.references Gilron, J. (2014). Water-energy nexus: matching sources and uses. Clean Technologies and Environmental Policy, 16(8), 1471-1479. doi:10.1007/s10098-014-0853-1 es_ES
dc.description.references Emec, S., Bilge, P., & Seliger, G. (2015). Design of production systems with hybrid energy and water generation for sustainable value creation. Clean Technologies and Environmental Policy, 17(7), 1807-1829. doi:10.1007/s10098-015-0947-4 es_ES
dc.description.references Okadera, T., Chontanawat, J., & Gheewala, S. H. (2014). Water footprint for energy production and supply in Thailand. Energy, 77, 49-56. doi:10.1016/j.energy.2014.03.113 es_ES
dc.description.references Herath, I., Deurer, M., Horne, D., Singh, R., & Clothier, B. (2011). The water footprint of hydroelectricity: a methodological comparison from a case study in New Zealand. Journal of Cleaner Production, 19(14), 1582-1589. doi:10.1016/j.jclepro.2011.05.007 es_ES
dc.description.references Baki, S., & Makropoulos, C. (2014). Tools for Energy Footprint Assessment in Urban Water Systems. Procedia Engineering, 89, 548-556. doi:10.1016/j.proeng.2014.11.477 es_ES
dc.description.references Giugni, M., Fontana, N., & Ranucci, A. (2014). Optimal Location of PRVs and Turbines in Water Distribution Systems. Journal of Water Resources Planning and Management, 140(9), 06014004. doi:10.1061/(asce)wr.1943-5452.0000418 es_ES
dc.description.references Pérez-Sánchez, M., Sánchez-Romero, F. J., López-Jiménez, P. A., & Ramos, H. M. (2018). PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool. Renewable Energy, 116, 234-249. doi:10.1016/j.renene.2017.09.060 es_ES
dc.description.references Corcoran, L., McNabola, A., & Coughlan, P. (2016). Optimization of Water Distribution Networks for Combined Hydropower Energy Recovery and Leakage Reduction. Journal of Water Resources Planning and Management, 142(2), 04015045. doi:10.1061/(asce)wr.1943-5452.0000566 es_ES
dc.description.references Ramos, H., & Borga, A. (1999). Pumps as turbines: an unconventional solution to energy production. Urban Water, 1(3), 261-263. doi:10.1016/s1462-0758(00)00016-9 es_ES
dc.description.references Ramos, H. M., Kenov, K. N., & Vieira, F. (2011). Environmentally friendly hybrid solutions to improve the energy and hydraulic efficiency in water supply systems. Energy for Sustainable Development, 15(4), 436-442. doi:10.1016/j.esd.2011.07.009 es_ES
dc.description.references Calibración de Modelos Hidrológicoshttp://www.imefen.uni.edu.pe/Temas_interes/modhidro_2.pdf es_ES
dc.description.references D. N. Moriasi, J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, & T. L. Veith. (2007). Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Transactions of the ASABE, 50(3), 885-900. doi:10.13031/2013.23153 es_ES
dc.description.references Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. doi:10.1126/science.220.4598.671 es_ES
dc.description.references Samora, I., Franca, M. J., Schleiss, A. J., & Ramos, H. M. (2016). Simulated Annealing in Optimization of Energy Production in a Water Supply Network. Water Resources Management, 30(4), 1533-1547. doi:10.1007/s11269-016-1238-5 es_ES
dc.description.references Carravetta, A., del Giudice, G., Fecarotta, O., & Ramos, H. (2013). PAT Design Strategy for Energy Recovery in Water Distribution Networks by Electrical Regulation. Energies, 6(1), 411-424. doi:10.3390/en6010411 es_ES
dc.description.references Methodology for Energy Efficiency Analysis in Pressurized Irrigation Networks, Practical Applicationhttps://riunet.upv.es/bitstream/handle/10251/84012/RESUMEN.pdf?sequence=3 es_ES
dc.description.references Singh, P., & Nestmann, F. (2010). An optimization routine on a prediction and selection model for the turbine operation of centrifugal pumps. Experimental Thermal and Fluid Science, 34(2), 152-164. doi:10.1016/j.expthermflusci.2009.10.004 es_ES
dc.description.references Pérez-Sánchez, M., Sánchez-Romero, F., Ramos, H., & López-Jiménez, P. (2016). Modeling Irrigation Networks for the Quantification of Potential Energy Recovering: A Case Study. Water, 8(6), 234. doi:10.3390/w8060234 es_ES
dc.description.references Pérez-Sánchez, M., Sánchez-Romero, F. J., Ramos, H. M., & López-Jiménez, P. A. (2017). Calibrating a flow model in an irrigation network: Case study in Alicante, Spain. Spanish Journal of Agricultural Research, 15(1), e1202. doi:10.5424/sjar/2017151-10144 es_ES
dc.description.references Pérez-Sánchez, M., Sánchez-Romero, F., Ramos, H., & López-Jiménez, P. (2017). Energy Recovery in Existing Water Networks: Towards Greater Sustainability. Water, 9(2), 97. doi:10.3390/w9020097 es_ES
dc.description.references Fecarotta, O., Carravetta, A., Ramos, H. M., & Martino, R. (2016). An improved affinity model to enhance variable operating strategy for pumps used as turbines. Journal of Hydraulic Research, 54(3), 332-341. doi:10.1080/00221686.2016.1141804 es_ES


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