Statistical-mathematical procedure to determine the cooling distribution of a chiller plant
This paper presents a procedure to determine the cooling capacity distribution of the chillers composing a chiller plant using a statistical analysis of the building cooling demand. The mathematical-statistical procedure uses tools such as frequency histograms, box-and-whisker plots, stem-and-leaf p...
- Autores:
-
Díaz Torres, Yamile
Hernández Herrera, Hernán
Torres del Toro, Migdalia
Álvarez Guerra, Mario A.
Gullo, Paride
Silva Ortega, Jorge I
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9795
- Acceso en línea:
- https://hdl.handle.net/11323/9795
https://repositorio.cuc.edu.co/
- Palabra clave:
- Chiller plants
Statistical-mathematical procedure
Chiller plant combinations
Cooling capacity
Chillers
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| title |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| spellingShingle |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant Chiller plants Statistical-mathematical procedure Chiller plant combinations Cooling capacity Chillers |
| title_short |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| title_full |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| title_fullStr |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| title_full_unstemmed |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| title_sort |
Statistical-mathematical procedure to determine the cooling distribution of a chiller plant |
| dc.creator.fl_str_mv |
Díaz Torres, Yamile Hernández Herrera, Hernán Torres del Toro, Migdalia Álvarez Guerra, Mario A. Gullo, Paride Silva Ortega, Jorge I |
| dc.contributor.author.none.fl_str_mv |
Díaz Torres, Yamile Hernández Herrera, Hernán Torres del Toro, Migdalia Álvarez Guerra, Mario A. Gullo, Paride Silva Ortega, Jorge I |
| dc.subject.proposal.eng.fl_str_mv |
Chiller plants Statistical-mathematical procedure Chiller plant combinations Cooling capacity Chillers |
| topic |
Chiller plants Statistical-mathematical procedure Chiller plant combinations Cooling capacity Chillers |
| description |
This paper presents a procedure to determine the cooling capacity distribution of the chillers composing a chiller plant using a statistical analysis of the building cooling demand. The mathematical-statistical procedure uses tools such as frequency histograms, box-and-whisker plots, stem-and-leaf plots, the generalized least squares method, and finally an iterative factorial procedure to generate from the processed information. Besides the manufacturer’s data, all possible chiller plant combinations considering design constraints. The procedure was verified in a hotel facility. Eight thermal demand profiles were simulated. Statistical analysis yielded a range of individual capacities between 100–353 kW. The procedure generated 189 refrigeration plant combinations between 2 to 5 chillers, with a safety factor (SF) between 10%–20%. The highest number of combinations considered plants comprising three and four chillers, reaching 50 and 70 chiller plant options, respectively. |
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2022 |
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2022 |
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2023-01-23T15:04:46Z |
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2023-01-23T15:04:46Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Yamile Díaz Torres, Hernán Hernández Herrera, Migdalia Torres del Toro, Mario A. Álvarez Guerra, Paride Gullo, Jorge Iván Silva Ortega, Statistical-mathematical procedure to determine the cooling distribution of a chiller plant, Energy Reports, Volume 8, Supplement 9 2022, Pages 512-526, ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2022.07.023. |
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https://hdl.handle.net/11323/9795 |
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10.1016/j.egyr.2022.07. |
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2352-4847 |
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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 |
Yamile Díaz Torres, Hernán Hernández Herrera, Migdalia Torres del Toro, Mario A. Álvarez Guerra, Paride Gullo, Jorge Iván Silva Ortega, Statistical-mathematical procedure to determine the cooling distribution of a chiller plant, Energy Reports, Volume 8, Supplement 9 2022, Pages 512-526, ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2022.07.023. 10.1016/j.egyr.2022.07. 2352-4847 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/9795 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Energy Reports |
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[1] III Stanford, Hebert W. HVAC water chillers and cooling towers. In: Fundamentals, application, and operation, vol. 270. second ed.. Madison Avenue, New York, NY: Marcel Dekker, Inc.; 2016. [2] Yu FW, Ho HT. Assessing operating statuses for chiller system with Cox regression. Int J Refrig 2019;98:182–93. http://dx.doi.org/ 10.1016/j.ijrefrig.2018.10.028. [3] Kapoor K, Edgar T. Chapter 2: Energy efficient chiller configuration-A design perspective. Comput Aided Chem Eng 2015;36. http://dx.doi.org/10.1016/B978-0-444-63472-6.00002-1. [4] Taylor Steven. Fundamentals of design and control of central chilled-water plans (I-P) Capitulo 6. 2017, Atlanta ASHRAE. [5] Huang P, Huang G, Augenbroe G, Li S. Optimal configuration of multiple-chiller plants under cooling load uncertainty for different climate effects and building types. Energy Build 2018;158:684–97. http://dx.doi.org/10.1016/j.enbuild.2017.10.040. [6] Yu FW, Chan KT. Strategy for designing more energy efficient chiller plants serving air-conditioned buildings. Build Environ 2007;42(10):3737–46. http://dx.doi.org/10.1016/j.buildenv.2006.09.004. [7] Díaz Y, Guerra MA, Viego P, Crespo G, Diaz M. Chiller plant design. Review of the aspects that inve its efficient design. IngenierÍaenergÉtica 2020;41(1). https://rie.cujae.edu.cu/index.php/RIE/article/view/584/pdf. [8] Díaz Y, Santana M, Francisco G, Álvarez L, Álvarez-Guerra MA. Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers. IngenierÍa MecÁnica 2020;23(3). https://ingenieriamecanica.cujae.edu.cu/index.php/revistaim/article/view/641. [9] ASHRAE. ANSI/ASHRAE/IES standard 90.1-2013. 2013, Energy Standard for buildings Except Low-Rise Residential Buildings (I-P edition). [10] Yu FW, Chan KT. Low-energy design for air-cooled chiller plants in air –conditioned buildings. Energy Build 2006;38(4):334–9. http://dx.doi.org/10.1016/j.enbuild.2005.07.004. [11] Chan R, Lee E, Yuen R. An integrated model for the design of air-cooled chiller plants for commercial buildings. Build Environ 2011;46:196–209. http://dx.doi.org/10.1016/j.buildenv.2010.07.013, Chen et al. 2015. [12] Mathew P, Greenberg S. Labs 21 Sustainable design programming checklist version 1.0. Lawrence Berkeley National Laboratory; 2005, https://escholarship.org/uc/item/3f2214sp. [13] Bitondo M, Tosí J. Chiller control plant. Syracuse, New Cork. EUA: Carrier Corporation; 1999. [14] Deng Shiming. Sizing replacement chiller plants. ASHRAE J 2002. [15] Wang F, Lin H, Tu W, Wang Y, Huang Y. Energy modeling and chillers sizing of HVAC system for a hotel building. Procedia Eng 2015;121:1812–8. http://dx.doi.org/10.1016/j.proeng.2015.09.161. [16] Cheng Q, Wang S, Yan Ch. Sequential Monte Carlo simulation for robust optimal design of cooling water system with quantified uncertainty and realiability. Energy 2016;2016:1–13. http://dx.doi.org/10.1016/j.energy.2016.10.051. [17] Gang W, Wang S, Augenbroe G, Xiao F. Robust optimal design of building cooling systems concerning uncertainties using mini-max regret theory. Sci Technol Built Environ 2015;21(6):789–99. http://dx.doi.org/10.1080/23744731.2015.1056657. [18] Kang Y, Augenbroe Q, Wang G. Effects of scenario uncertainity on chiller sizing method. Appl Therm Eng 2017;123:187–95. http://dx.doi.org/10.1016/j.applthermaleng.2017.05.041. [19] Li M, Qin Ch, Feng Y, Zhou M, Mu H, Li N, Ma Q. Optimal design and analysis of CCHP system for a hotel application. In: 9th International conference on applied energy. ICAE2017, Cardiff, UK; 2017, p. 21–4. http://dx.doi.org/10.1016/j.egypro.2017.12.162. [20] Yan Ch, Cheng Q, Cai H. Life-cycle optimization of a chiller plant with quantified analysis of uncertainty and realibility in commercial buildings. Appl Sci 2019;9:1548. http://dx.doi.org/10.3390/app9081548. [21] Díaz-Torres Y, Calvo R, Herrera H, Gomez S, Guerra M, Silva J. Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design. Energy Rep. 2021;7:622–37. http://dx.doi.org/10.1016/j.egyr.2021.07.090. [22] White H. A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica 1980;48:817–38. http://dx.doi.org/10.2307/1912934. [23] Jarque CM, Bera AK. A test for normality of - observations and regression residual. Internat Statist Rev 1987;55:163–72, https://www.jstor.org/stable/1403192. [24] Li H, Wang S, Xiao Fu. Probabilistic optimal design and on-site adaptative commissioning of building air-conditioning systems concerning uncertainties. Energy Procedia 2019;158:2725–30. http://dx.doi.org/10.1016/j.egypro.2019.02.029. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2022 The Author(s). Published by Elsevier Ltd.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Díaz Torres, Yamile509726c8fa439124c7ebc8aacd26ef12Hernández Herrera, Hernán368f702324432a4013403d8c819e2e2eTorres del Toro, Migdaliacc43448620c7147bf4450c12e1a47c4c600Álvarez Guerra, Mario A.2d1793b95bc6eb502058da79a1e0b6cfGullo, Paride4b588a40d21e2b123fe764a8e33cc7be600Silva Ortega, Jorge I398d7040aeff9fde787d72ea917797e26002023-01-23T15:04:46Z2023-01-23T15:04:46Z2022Yamile Díaz Torres, Hernán Hernández Herrera, Migdalia Torres del Toro, Mario A. Álvarez Guerra, Paride Gullo, Jorge Iván Silva Ortega, Statistical-mathematical procedure to determine the cooling distribution of a chiller plant, Energy Reports, Volume 8, Supplement 9 2022, Pages 512-526, ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2022.07.023.https://hdl.handle.net/11323/979510.1016/j.egyr.2022.07.2352-4847Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper presents a procedure to determine the cooling capacity distribution of the chillers composing a chiller plant using a statistical analysis of the building cooling demand. The mathematical-statistical procedure uses tools such as frequency histograms, box-and-whisker plots, stem-and-leaf plots, the generalized least squares method, and finally an iterative factorial procedure to generate from the processed information. Besides the manufacturer’s data, all possible chiller plant combinations considering design constraints. The procedure was verified in a hotel facility. Eight thermal demand profiles were simulated. Statistical analysis yielded a range of individual capacities between 100–353 kW. The procedure generated 189 refrigeration plant combinations between 2 to 5 chillers, with a safety factor (SF) between 10%–20%. The highest number of combinations considered plants comprising three and four chillers, reaching 50 and 70 chiller plant options, respectively.15 páginasapplication/pdfengElsevier Ltd.United Kingdomhttps://www.sciencedirect.com/science/article/pii/S2352484722012872?via%3DihubStatistical-mathematical procedure to determine the cooling distribution of a chiller plantArtículo 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_970fb48d4fbd8a85Energy Reports[1] III Stanford, Hebert W. HVAC water chillers and cooling towers. In: Fundamentals, application, and operation, vol. 270. second ed.. Madison Avenue, New York, NY: Marcel Dekker, Inc.; 2016.[2] Yu FW, Ho HT. Assessing operating statuses for chiller system with Cox regression. Int J Refrig 2019;98:182–93. http://dx.doi.org/ 10.1016/j.ijrefrig.2018.10.028.[3] Kapoor K, Edgar T. Chapter 2: Energy efficient chiller configuration-A design perspective. Comput Aided Chem Eng 2015;36. http://dx.doi.org/10.1016/B978-0-444-63472-6.00002-1.[4] Taylor Steven. Fundamentals of design and control of central chilled-water plans (I-P) Capitulo 6. 2017, Atlanta ASHRAE.[5] Huang P, Huang G, Augenbroe G, Li S. Optimal configuration of multiple-chiller plants under cooling load uncertainty for different climate effects and building types. Energy Build 2018;158:684–97. http://dx.doi.org/10.1016/j.enbuild.2017.10.040.[6] Yu FW, Chan KT. Strategy for designing more energy efficient chiller plants serving air-conditioned buildings. Build Environ 2007;42(10):3737–46. http://dx.doi.org/10.1016/j.buildenv.2006.09.004.[7] Díaz Y, Guerra MA, Viego P, Crespo G, Diaz M. Chiller plant design. Review of the aspects that inve its efficient design. IngenierÍaenergÉtica 2020;41(1). https://rie.cujae.edu.cu/index.php/RIE/article/view/584/pdf.[8] Díaz Y, Santana M, Francisco G, Álvarez L, Álvarez-Guerra MA. Methodology for the preparation and selection of black box mathematical models for the energy simulation of screw type chillers. IngenierÍa MecÁnica 2020;23(3). https://ingenieriamecanica.cujae.edu.cu/index.php/revistaim/article/view/641.[9] ASHRAE. ANSI/ASHRAE/IES standard 90.1-2013. 2013, Energy Standard for buildings Except Low-Rise Residential Buildings (I-P edition).[10] Yu FW, Chan KT. Low-energy design for air-cooled chiller plants in air –conditioned buildings. Energy Build 2006;38(4):334–9. http://dx.doi.org/10.1016/j.enbuild.2005.07.004.[11] Chan R, Lee E, Yuen R. An integrated model for the design of air-cooled chiller plants for commercial buildings. Build Environ 2011;46:196–209. http://dx.doi.org/10.1016/j.buildenv.2010.07.013, Chen et al. 2015.[12] Mathew P, Greenberg S. Labs 21 Sustainable design programming checklist version 1.0. Lawrence Berkeley National Laboratory; 2005, https://escholarship.org/uc/item/3f2214sp.[13] Bitondo M, Tosí J. Chiller control plant. Syracuse, New Cork. EUA: Carrier Corporation; 1999.[14] Deng Shiming. Sizing replacement chiller plants. ASHRAE J 2002.[15] Wang F, Lin H, Tu W, Wang Y, Huang Y. Energy modeling and chillers sizing of HVAC system for a hotel building. Procedia Eng 2015;121:1812–8. http://dx.doi.org/10.1016/j.proeng.2015.09.161.[16] Cheng Q, Wang S, Yan Ch. Sequential Monte Carlo simulation for robust optimal design of cooling water system with quantified uncertainty and realiability. Energy 2016;2016:1–13. http://dx.doi.org/10.1016/j.energy.2016.10.051.[17] Gang W, Wang S, Augenbroe G, Xiao F. Robust optimal design of building cooling systems concerning uncertainties using mini-max regret theory. Sci Technol Built Environ 2015;21(6):789–99. http://dx.doi.org/10.1080/23744731.2015.1056657.[18] Kang Y, Augenbroe Q, Wang G. Effects of scenario uncertainity on chiller sizing method. Appl Therm Eng 2017;123:187–95. http://dx.doi.org/10.1016/j.applthermaleng.2017.05.041.[19] Li M, Qin Ch, Feng Y, Zhou M, Mu H, Li N, Ma Q. Optimal design and analysis of CCHP system for a hotel application. In: 9th International conference on applied energy. ICAE2017, Cardiff, UK; 2017, p. 21–4. http://dx.doi.org/10.1016/j.egypro.2017.12.162.[20] Yan Ch, Cheng Q, Cai H. Life-cycle optimization of a chiller plant with quantified analysis of uncertainty and realibility in commercial buildings. Appl Sci 2019;9:1548. http://dx.doi.org/10.3390/app9081548.[21] Díaz-Torres Y, Calvo R, Herrera H, Gomez S, Guerra M, Silva J. Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design. Energy Rep. 2021;7:622–37. http://dx.doi.org/10.1016/j.egyr.2021.07.090.[22] White H. A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica 1980;48:817–38. http://dx.doi.org/10.2307/1912934.[23] Jarque CM, Bera AK. A test for normality of - observations and regression residual. Internat Statist Rev 1987;55:163–72, https://www.jstor.org/stable/1403192.[24] Li H, Wang S, Xiao Fu. Probabilistic optimal design and on-site adaptative commissioning of building air-conditioning systems concerning uncertainties. Energy Procedia 2019;158:2725–30. http://dx.doi.org/10.1016/j.egypro.2019.02.029.52651298Chiller plantsStatistical-mathematical procedureChiller plant combinationsCooling capacityChillersORIGINALStatistical-mathematical procedure to determine the cooling distribution of a chiller plant.pdfStatistical-mathematical procedure to determine the cooling distribution of a chiller plant.pdfArtículoapplication/pdf2043940https://repositorio.cuc.edu.co/bitstream/11323/9795/1/Statistical-mathematical%20procedure%20to%20determine%20the%20cooling%20distribution%20of%20a%20chiller%20plant.pdfb8471a44cbc9268367bfe5a4577f34aeMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstream/11323/9795/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTStatistical-mathematical procedure to determine the cooling distribution of a chiller plant.pdf.txtStatistical-mathematical procedure to determine the cooling distribution of a chiller 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corporada en las Obras Colectivas.

b.	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.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
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).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	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).

b.	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.

c.	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.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	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.

ii.	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.

e.	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.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
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.

6. Limitación de responsabilidad.
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.

7. Término.

a.	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.

b.	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.

8. Varios.

a.	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.

b.	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.

c.	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.

d.	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.
 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