Evaluation of the energy saving potential in electric motors applying a load-based voltage control method
This paper studies the viability of energy savings in electric motors by adjusting the voltage according to load in motors that operate under significant load variations during their work cycles. The laboratory test program used a 1.1 kW electric motor to compare its measured efficiency operating wi...
- Autores:
-
Sousa Santos, Vladimir
Cabello Eras, Juan J.
Cabello Ulloa, Mario J.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13677
- Acceso en línea:
- https://hdl.handle.net/11323/13677
https://repositorio.cuc.edu.co/
- Palabra clave:
- Electric motors
Energy efficiency
Life cycle
Load factor
Voltage control
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| title |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| spellingShingle |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method Electric motors Energy efficiency Life cycle Load factor Voltage control |
| title_short |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| title_full |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| title_fullStr |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| title_full_unstemmed |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| title_sort |
Evaluation of the energy saving potential in electric motors applying a load-based voltage control method |
| dc.creator.fl_str_mv |
Sousa Santos, Vladimir Cabello Eras, Juan J. Cabello Ulloa, Mario J. |
| dc.contributor.author.none.fl_str_mv |
Sousa Santos, Vladimir Cabello Eras, Juan J. Cabello Ulloa, Mario J. |
| dc.subject.proposal.eng.fl_str_mv |
Electric motors Energy efficiency Life cycle Load factor Voltage control |
| topic |
Electric motors Energy efficiency Life cycle Load factor Voltage control |
| description |
This paper studies the viability of energy savings in electric motors by adjusting the voltage according to load in motors that operate under significant load variations during their work cycles. The laboratory test program used a 1.1 kW electric motor to compare its measured efficiency operating without voltage control with the load-based voltage control method results. A neural network was developed, and a time series generator was used to model the motor and estimate the results of applying the method in its useful life in the load behavior of three operating regimes. The results show an energy saving potential of 2 %–5.2 % using the load-based voltage control method in motors operating with a load factor of less than 40 % during the simulated motor life cycle for the three operating regimes. Also, the economic feasibility of implementing the load-based voltage control method was evaluated on three industrial electric motors. Results indicated potential annual savings between $1227 and USD 1,549, with a projected investment payback period of less than three and a half years. |
| publishDate |
2024 |
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2024-11-12T13:41:16Z |
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2024-11-12T13:41:16Z |
| dc.date.issued.none.fl_str_mv |
2024-06-10 |
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Artículo de revista |
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Vladimir Sousa Santos, Juan J. Cabello Eras, Mario J. Cabello Ulloa, Evaluation of the energy saving potential in electric motors applying a load-based voltage control method, Energy, Volume 303, 2024, 132012, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2024.132012. |
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0360-5442 |
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https://hdl.handle.net/11323/13677 |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.energy.2024.132012 |
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1873-6785 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Vladimir Sousa Santos, Juan J. Cabello Eras, Mario J. Cabello Ulloa, Evaluation of the energy saving potential in electric motors applying a load-based voltage control method, Energy, Volume 303, 2024, 132012, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2024.132012. 0360-5442 10.1016/j.energy.2024.132012 1873-6785 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/13677 https://repositorio.cuc.edu.co/ |
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eng |
| language |
eng |
| dc.relation.ispartofjournal.none.fl_str_mv |
Energy |
| dc.relation.references.none.fl_str_mv |
Acar Ç, Soygenc OC, Ergene LT. Increasing the efficiency to IE4 class for 5.5 kW induction motor used in industrial applications. Int Rev Econ Educ 2019;14:67. https://doi.org/10.15866/iree.v14i1.16307. Zuberi MJS, Tijdink A, Patel MK. Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry. Appl Energy 2017; 205:85–104. https://doi.org/10.1016/j.apenergy.2017.07.121. Waide P, Brunner CU. Energy-efficiency policy opportunities for electric motordriven systems. Cedex, France: Int Energy Agency 2011;132. https://doi.org/ 10.1787/5kgg52gb9gjd-en. International Electrotechnical Commission. IEC 60034-30-1:2014 rotating electrical machines : efficiency classes of line operated AC motors, vol. 50; 2014. Ma K, Fang L, Kong W. Review of distribution network phase unbalance: scale, causes, consequences, solutions, and future research directions. CSEE Journal of Power and Energy Systems 2020;6:479–88. https://doi.org/10.17775/ CSEEJPES.2019.03280. Ferreira FJTE, de Almeida AT. Reducing energy costs in electric-motor-driven systems: savings through output power reduction and energy regeneration. IEEE Ind Appl Mag 2018;24:84–97. https://doi.org/10.1109/MIAS.2016.2600685. De Almeida A, Fong J, Brunner CU, Werle R, Van Werkhoven M. New technology trends and policy needs in energy efficient motor systems - a major opportunity for energy and carbon savings. Renew Sustain Energy Rev 2019;115:109384. https:// doi.org/10.1016/j.rser.2019.109384. Bin Z, Lili M, Hao D. Principle of optimal voltage regulation and energy-saving for induction motor with unknown constant-torque working condition. IEEE Access 2020;8:187307–16. https://doi.org/10.1109/ACCESS.2020.3030936. Prince Hati AS. A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence. Renew Sustain Energy Rev 2021;146:111153. https:// doi.org/10.1016/J.RSER.2021.111153. Saidur R. A review on electrical motors energy use and energy savings. Renew Sustain Energy Rev 2010;14:877–98. https://doi.org/10.1016/j.rser.2009.10.018. Bhase P, Lathkar M. Energy conservation using VFD. 2015 international conference on energy systems and applications. 2015. p. 531–6. https://doi.org/10.1109/ ICESA.2015.7503406. Xiao H, Chuang H-C, Yang Z-H, Lee C-T. The efficiency improvement of induction motor with constant speed for belt drive mechanism. Energy Effic 2021;14:87. https://doi.org/10.1007/s12053-021-10009-6. Stojic DM, Milinkovic M, Veinovic S, Klasnic I. Stationary frame induction motor feed forward current controller with back EMF compensation. IEEE Trans Energy Convers 2015;30:1356–66. https://doi.org/10.1109/TEC.2015.2438093. Chuang HC, Li G De, Lee CT. The efficiency improvement of AC induction motor with constant frequency technology. Energy 2019;174:805–13. https://doi.org/ 10.1016/j.energy.2019.03.019. Paramonova S, Nehler T, Thollander P. Technological change or process innovation – an empirical study of implemented energy efficiency measures from a Swedish industrial voluntary agreements program. Energy Pol 2021;156:112433. https:// doi.org/10.1016/j.enpol.2021.112433. Ferreira FJTE, de Almeida AT. Induction motor downsizing as a low-cost strategy to save energy. J Clean Prod 2012;24:117–31. https://doi.org/10.1016/j. jclepro.2011.11.014. Alcalá Abraham VA, Aleman ´ Causil ED, Sousa Santos V, Noriega Angarita E, Gomez ´ JR Sarduy. Identification of savings opportunities in a steel manufacturing industry. Int J Energy Econ Pol 2021;11:43–50. https://doi.org/10.32479/ ijeep.11142. Lei R, Yin J. Prediction method of energy consumption for high building based on LMBP neural network. Energy Rep 2022;8:1236–48. https://doi.org/10.1016/J. EGYR.2022.02.071. Magazzino C, Mele M, Schneider N, Shahzad U. Does export product diversification spur energy demand in the APEC region? Application of a new neural networks experiment and a Decision Tree model. Energy Build 2022;258:111820. https:// doi.org/10.1016/J.ENBUILD.2021.111820. Nastro F, Sorrentino M, Trifiro ` A. A machine learning approach based on neural networks for energy diagnosis of telecommunication sites. Energy 2022;245: 123266. https://doi.org/10.1016/J.ENERGY.2022.123266. Sousa Santos V, Cabello Eras JJ, Sagastume Gutierrez A, Cabello Ulloa MJ. Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. Measurement 2019;136:237–47. https://doi. org/10.1016/j.measurement.2018.12.080. Cabello Eras JJ, Sousa Santos V. Dispositivo de medicion ´ directa y en tiempo real de la eficiencia de motores el´ectricos. 2018. NC2018/0008393. Ponmani C, Rajaram M. Compensation strategy of matrix converter fed induction motor drive under input voltage and load disturbances using internal model control. Int J Electr Power Energy Syst 2013;44. https://doi.org/10.1016/j. ijepes.2012.07.031. Li W, Vaziri V, Aphale SS, Dong S, Wiercigroch M. Dynamics and frequency and voltage control of downhole oil pumping system. Mech Syst Signal Process 2020; 139. https://doi.org/10.1016/j.ymssp.2019.106562. Arif A, Wang Z, Wang J, Mather B, Bashualdo H, Zhao D. Load modeling - a review. IEEE Trans Smart Grid 2018;9:5986–99. https://doi.org/10.1109/ TSG.2017.2700436. Li R, Li S. Energy-saving research on asynchronous motor voltage regulation using Γ equivalent circuit. Lecture Notes in Electrical Engineering 2014;238(LNEE). https://doi.org/10.1007/978-1-4614-4981-2_90. Trianni A, Cagno E, Accordini D. Energy efficiency measures in electric motors systems: a novel classification highlighting specific implications in their adoption. Appl Energy 2019;252:113481. https://doi.org/10.1016/j.apenergy.2019.113481. Hasanuzzaman M, Rahim NA, Saidur R, Kazi SN. Energy savings and emissions reductions for rewinding and replacement of industrial motor. Energy 2011;36: 233–40. https://doi.org/10.1016/j.energy.2010.10.046. Gomez ´ JR, Sousa V, Cabello Eras JJ, Sagastume Guti´errez A, Viego PR, Quispe EC, et al. Assessment criteria of the feasibility of replacement standard efficiency electric motors with high-efficiency motors. Energy 2022;239:121877. https://doi. org/10.1016/j.energy.2021.121877. Chapman S. Electric machinery fundamentals. fifth ed. New York: McGraw-Hill Education; 2011. IEEE. Ieee Std 112TM-2017. IEEE standard test procedure for polyphase induction motors and generators. IEEE 2018:1–115. https://doi.org/10.1109/ IEEESTD.2018.8291810. Lu B, Habetler TG, Harley RG. A nonintrusive and in-service motor-efficiency estimation method using air-gap torque with considerations of condition monitoring. IEEE Trans Ind Appl 2008;44:1666–74. https://doi.org/10.1109/ TIA.2008.2006297. Zhang C, Wang L, Li H. Optimization method based on process control of a newtype hydraulic-motor hybrid beam pumping unit. Measurement 2020;158. https:// doi.org/10.1016/j.measurement.2020.107716. Zhao H, Wang Y, Zhan Y, Xu G, Cui X, Wang J. Practical model for energy consumption analysis of beam pumping motor systems and its energy-saving applications. IEEE Trans Ind Appl 2018;54:1006–16. https://doi.org/10.1109/ TIA.2017.2779103. Aihsan MZ, Jidin A, Ahmad Tarusan SA, Sutikno T. The simulation analysis of stator flux droop minimization in direct torque control open-end winding induction machine. Int J Electr Comput Eng 2023;13:3561. https://doi.org/10.11591/ijece. v13i3.pp3561-3571. De Lorenzo. Catalog de lorenzo-electrical power engineering. 2024. p. 26. Dranetz. Dranetz PowerVisa power quality analyzer. 2020. Siraki AG, Pillay P. An in situ efficiency estimation technique for induction machines working with unbalanced supplies. IEEE Trans Energy Convers 2012;27: 85–95. https://doi.org/10.1109/TEC.2011.2168563. OpenLand.es. Statgraphics centurion XV. 2007. Devore JL. Probability and statistics for engineering and the sciences. In: San luis obispo. eighth ed. 2010. https://doi.org/10.1192/bjp.112.483.211-a. MathWorks. Software MATLAB R2017a n.d.. Que Q, Belkin M. Back to the future: radial basis function network revisited. IEEE Trans Pattern Anal Mach Intell 2020;42:1856–67. https://doi.org/10.1109/ TPAMI.2019.2906594. Ortombina L, Tinazzi F, Zigliotto M. Magnetic modeling of synchronous reluctance and internal permanent magnet motors using radial basis function networks. IEEE Trans Ind Electron 2017;65:1140–8. https://doi.org/10.1109/TIE.2017.2733502. Kaminski M. Nature-inspired algorithm implemented for stable radial basis function neural controller of electric drive with induction motor. Energies 2020;13. https://doi.org/10.3390/en13246541. Jie H, Zheng G, Zou J, Xin X, Guo L. Adaptive decoupling control using radial basis function neural network for permanent magnet synchronous motor considering uncertain and time-varying parameters. IEEE Access 2020;8:112323–32. https:// doi.org/10.1109/ACCESS.2020.2993648. Pietrowski W. Application of radial basis neural network to diagnostics of induction motor stator faults using axial flux. Przeglad Elektrotechniczny 2011;87. Sánchez GC, Monteagudo Yanes JP, P´erez MM, Cabrera S´ anchez JL, Padron ´ AP, Haeseldonckx D. Efficiency in electromechanical drive motors and energy performance indicators for implementing a management system in balanced animal feed manufacturing. Energy 2020;194:116818. https://doi.org/10.1016/j. energy.2019.116818. Kirchgassner ¨ G, Wolters J. Introduction to modern time series analysis. 2007. https://doi.org/10.1007/978-3-540-73291-4. Sinergox XM. https://sinergox.xm.com.co/Paginas/Home.aspx. [Accessed 21 January 2024]. Peaco Support. Pneumatic & electronic automation components online. 2024. http s://peacosupport.com/. Datosmacro.com. Tipos del Banco Central de Colombia. ExpansionCom/ DatosmacroCom 2024. https://datosmacro.expansion.com/tipo-interes/colombia. [Accessed 20 January 2024]. Habib MA, Hasanuzzaman M, Hosenuzzaman M, Salman A, Mehadi MR. Energy consumption, energy saving and emission reduction of a garment industrial building in Bangladesh. Energy 2016;112:91–100. https://doi.org/10.1016/j. energy.2016.06.062. |
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Atribución 4.0 Internacional (CC BY 4.0)© 2024 Elsevier Ltd.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sousa Santos, VladimirCabello Eras, Juan J.Cabello Ulloa, Mario J.2024-11-12T13:41:16Z2024-11-12T13:41:16Z2024-06-10Vladimir Sousa Santos, Juan J. Cabello Eras, Mario J. Cabello Ulloa, Evaluation of the energy saving potential in electric motors applying a load-based voltage control method, Energy, Volume 303, 2024, 132012, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2024.132012.0360-5442https://hdl.handle.net/11323/1367710.1016/j.energy.2024.1320121873-6785Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper studies the viability of energy savings in electric motors by adjusting the voltage according to load in motors that operate under significant load variations during their work cycles. The laboratory test program used a 1.1 kW electric motor to compare its measured efficiency operating without voltage control with the load-based voltage control method results. A neural network was developed, and a time series generator was used to model the motor and estimate the results of applying the method in its useful life in the load behavior of three operating regimes. The results show an energy saving potential of 2 %–5.2 % using the load-based voltage control method in motors operating with a load factor of less than 40 % during the simulated motor life cycle for the three operating regimes. Also, the economic feasibility of implementing the load-based voltage control method was evaluated on three industrial electric motors. Results indicated potential annual savings between $1227 and USD 1,549, with a projected investment payback period of less than three and a half years.14 páginasapplication/pdfengElsevier LtdUnited Kingdomhttps://www-sciencedirect-com.ezproxy.cuc.edu.co/science/article/pii/S0360544224017869?via%3DihubEvaluation of the energy saving potential in electric motors applying a load-based voltage control methodArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85EnergyAcar Ç, Soygenc OC, Ergene LT. Increasing the efficiency to IE4 class for 5.5 kW induction motor used in industrial applications. Int Rev Econ Educ 2019;14:67. https://doi.org/10.15866/iree.v14i1.16307.Zuberi MJS, Tijdink A, Patel MK. Techno-economic analysis of energy efficiency improvement in electric motor driven systems in Swiss industry. Appl Energy 2017; 205:85–104. https://doi.org/10.1016/j.apenergy.2017.07.121.Waide P, Brunner CU. Energy-efficiency policy opportunities for electric motordriven systems. Cedex, France: Int Energy Agency 2011;132. https://doi.org/ 10.1787/5kgg52gb9gjd-en.International Electrotechnical Commission. IEC 60034-30-1:2014 rotating electrical machines : efficiency classes of line operated AC motors, vol. 50; 2014.Ma K, Fang L, Kong W. Review of distribution network phase unbalance: scale, causes, consequences, solutions, and future research directions. CSEE Journal of Power and Energy Systems 2020;6:479–88. https://doi.org/10.17775/ CSEEJPES.2019.03280.Ferreira FJTE, de Almeida AT. Reducing energy costs in electric-motor-driven systems: savings through output power reduction and energy regeneration. IEEE Ind Appl Mag 2018;24:84–97. https://doi.org/10.1109/MIAS.2016.2600685.De Almeida A, Fong J, Brunner CU, Werle R, Van Werkhoven M. New technology trends and policy needs in energy efficient motor systems - a major opportunity for energy and carbon savings. Renew Sustain Energy Rev 2019;115:109384. https:// doi.org/10.1016/j.rser.2019.109384.Bin Z, Lili M, Hao D. Principle of optimal voltage regulation and energy-saving for induction motor with unknown constant-torque working condition. IEEE Access 2020;8:187307–16. https://doi.org/10.1109/ACCESS.2020.3030936.Prince Hati AS. A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence. Renew Sustain Energy Rev 2021;146:111153. https:// doi.org/10.1016/J.RSER.2021.111153.Saidur R. A review on electrical motors energy use and energy savings. Renew Sustain Energy Rev 2010;14:877–98. https://doi.org/10.1016/j.rser.2009.10.018.Bhase P, Lathkar M. Energy conservation using VFD. 2015 international conference on energy systems and applications. 2015. p. 531–6. https://doi.org/10.1109/ ICESA.2015.7503406.Xiao H, Chuang H-C, Yang Z-H, Lee C-T. The efficiency improvement of induction motor with constant speed for belt drive mechanism. Energy Effic 2021;14:87. https://doi.org/10.1007/s12053-021-10009-6.Stojic DM, Milinkovic M, Veinovic S, Klasnic I. Stationary frame induction motor feed forward current controller with back EMF compensation. IEEE Trans Energy Convers 2015;30:1356–66. https://doi.org/10.1109/TEC.2015.2438093.Chuang HC, Li G De, Lee CT. The efficiency improvement of AC induction motor with constant frequency technology. Energy 2019;174:805–13. https://doi.org/ 10.1016/j.energy.2019.03.019.Paramonova S, Nehler T, Thollander P. Technological change or process innovation – an empirical study of implemented energy efficiency measures from a Swedish industrial voluntary agreements program. Energy Pol 2021;156:112433. https:// doi.org/10.1016/j.enpol.2021.112433.Ferreira FJTE, de Almeida AT. Induction motor downsizing as a low-cost strategy to save energy. J Clean Prod 2012;24:117–31. https://doi.org/10.1016/j. jclepro.2011.11.014.Alcalá Abraham VA, Aleman ´ Causil ED, Sousa Santos V, Noriega Angarita E, Gomez ´ JR Sarduy. Identification of savings opportunities in a steel manufacturing industry. Int J Energy Econ Pol 2021;11:43–50. https://doi.org/10.32479/ ijeep.11142.Lei R, Yin J. Prediction method of energy consumption for high building based on LMBP neural network. Energy Rep 2022;8:1236–48. https://doi.org/10.1016/J. EGYR.2022.02.071.Magazzino C, Mele M, Schneider N, Shahzad U. Does export product diversification spur energy demand in the APEC region? Application of a new neural networks experiment and a Decision Tree model. Energy Build 2022;258:111820. https:// doi.org/10.1016/J.ENBUILD.2021.111820.Nastro F, Sorrentino M, Trifiro ` A. A machine learning approach based on neural networks for energy diagnosis of telecommunication sites. Energy 2022;245: 123266. https://doi.org/10.1016/J.ENERGY.2022.123266.Sousa Santos V, Cabello Eras JJ, Sagastume Gutierrez A, Cabello Ulloa MJ. Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. Measurement 2019;136:237–47. https://doi. org/10.1016/j.measurement.2018.12.080.Cabello Eras JJ, Sousa Santos V. Dispositivo de medicion ´ directa y en tiempo real de la eficiencia de motores el´ectricos. 2018. NC2018/0008393.Ponmani C, Rajaram M. Compensation strategy of matrix converter fed induction motor drive under input voltage and load disturbances using internal model control. Int J Electr Power Energy Syst 2013;44. https://doi.org/10.1016/j. ijepes.2012.07.031.Li W, Vaziri V, Aphale SS, Dong S, Wiercigroch M. Dynamics and frequency and voltage control of downhole oil pumping system. 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Energy 2016;112:91–100. https://doi.org/10.1016/j. energy.2016.06.062.141303Electric motorsEnergy efficiencyLife cycleLoad factorVoltage controlPublicationORIGINALEvaluation of the energy saving potential in electric motors applying a.pdfEvaluation of the energy saving potential in electric motors applying a.pdfapplication/pdf11101452https://repositorio.cuc.edu.co/bitstreams/8f2fcb21-fb5f-4e40-bdd1-2424408ba6ae/download641bbbbd2e973289d1fe78cde228065eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/0bb58c87-f11b-48bd-8a6e-52137d924b42/download73a5432e0b76442b22b026844140d683MD52TEXTEvaluation of the energy saving potential in electric motors applying a.pdf.txtEvaluation of the energy saving potential in electric motors applying a.pdf.txtExtracted texttext/plain59802https://repositorio.cuc.edu.co/bitstreams/d1c4d2cd-46da-4817-b724-7948b49b97bb/download389d8f6b1fe255759dadc7da5ee17178MD53THUMBNAILEvaluation of the energy saving potential in electric motors applying a.pdf.jpgEvaluation of the energy saving potential in electric motors applying a.pdf.jpgGenerated Thumbnailimage/jpeg15081https://repositorio.cuc.edu.co/bitstreams/5d497d43-7360-412f-9bde-ec887f8f3b71/downloadf30bc2586c9e2d172af14dbdc9c19530MD5411323/13677oai:repositorio.cuc.edu.co:11323/136772024-11-13 03:00:17.381https://creativecommons.org/licenses/by/4.0/© 2024 Elsevier Ltd.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).</li>
      <li>Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.</li>
      <li>Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.</li>
          <li>Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
        </ol>
      </li>
      <li>Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.</li>
      <li>Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.</li>
      <li>Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.</li>
      <li>Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.</li>
      <li>Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.</li>
    </ol>
  </li>
  <br/>
</ol>
 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