Demand response program implementation methodology: A Colombian study case

The industrialization and urbanization are responsible for Greenhouse Gas (GHG) emissions and could generate energy shortage problems. The application of Demand Response (DR) programs enables the user to be empowered towards a conscious consumption of energy, allowing the reduction or displacement o...

Full description

Autores:
Molina, Juan D.
Buitrago, Luisa F.
Téllez, Sandra M.
Giraldo, Sandra Y.
Uribe, Jaime A.
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/10685
Acceso en línea:
https://hdl.handle.net/20.500.12585/10685
https://doi.org/10.32397/tesea.vol3.n1.3
Palabra clave:
Demand response
Demand response programs
Pilot design
Energy management
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by/4.0/
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network_acronym_str UTB2
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dc.title.es_CO.fl_str_mv Demand response program implementation methodology: A Colombian study case
title Demand response program implementation methodology: A Colombian study case
spellingShingle Demand response program implementation methodology: A Colombian study case
Demand response
Demand response programs
Pilot design
Energy management
LEMB
title_short Demand response program implementation methodology: A Colombian study case
title_full Demand response program implementation methodology: A Colombian study case
title_fullStr Demand response program implementation methodology: A Colombian study case
title_full_unstemmed Demand response program implementation methodology: A Colombian study case
title_sort Demand response program implementation methodology: A Colombian study case
dc.creator.fl_str_mv Molina, Juan D.
Buitrago, Luisa F.
Téllez, Sandra M.
Giraldo, Sandra Y.
Uribe, Jaime A.
dc.contributor.author.none.fl_str_mv Molina, Juan D.
Buitrago, Luisa F.
Téllez, Sandra M.
Giraldo, Sandra Y.
Uribe, Jaime A.
dc.subject.keywords.es_CO.fl_str_mv Demand response
Demand response programs
Pilot design
Energy management
topic Demand response
Demand response programs
Pilot design
Energy management
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description The industrialization and urbanization are responsible for Greenhouse Gas (GHG) emissions and could generate energy shortage problems. The application of Demand Response (DR) programs enables the user to be empowered towards a conscious consumption of energy, allowing the reduction or displacement of the demand for electrical energy, contributing to the sustainable development of the sector and the operational efficiency of the electrical system, among others. A reference framework for this type of program is detailed along with a literature survey applied to the Colombian case. The considerations on the design of a methodology to the implementation of the DR pilot, considering if the pilot is in an interconnected system zone or non-interconnected system zone and the application of the design methodology in the modeling of three DR pilots in Colombia is presented. For the modeling of the pilots, the characteristics of the area and the base consumption of the users are considered, and the characteristics and assumptions of the pilot are also defined. Furthermore, the DR pilot in each zone considering four types of users is detailed. The results show the potential for energy reduction and displacement in different time bands for each zone, which allows determining the assessment of the benefits from a technical, financial, and environmental point of view, and the costs of each pilot in monetary terms, it not to compare the pilots with each other, but to illustrate the values that must be taken into account in those analyses. The sensitivity analysis of each pilot was also carried out, considering the variation of the benefit/cost relationship with the energy rate in peak hours vs. off-peak hours and the base energy rate in the area. The sensitivity analysis shows that, when varying the level of energy demand response and the number of pilot participants, the values are presented when the benefit/cost ratio is greater than 1. In addition, the paper provides specific recommendations related to the design of a methodology and the implementation in a pilot DR using simulation.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-04-27T21:17:55Z
dc.date.available.none.fl_str_mv 2022-04-27T21:17:55Z
dc.date.issued.none.fl_str_mv 2022-03-24
dc.date.submitted.none.fl_str_mv 2022-04-22
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dc.identifier.citation.es_CO.fl_str_mv Molina, J., Buitrago, L., Téllez, S., Giraldo, S., & Uribe, J. (2022). Demand Response Program Implementation Methodology: A Colombian Study Case. Transactions on Energy Systems and Engineering Applications, 3(1), 13-19. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/465
dc.identifier.issn.none.fl_str_mv 2745-0120
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/10685
dc.identifier.doi.none.fl_str_mv https://doi.org/10.32397/tesea.vol3.n1.3
dc.identifier.instname.es_CO.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.es_CO.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Molina, J., Buitrago, L., Téllez, S., Giraldo, S., & Uribe, J. (2022). Demand Response Program Implementation Methodology: A Colombian Study Case. Transactions on Energy Systems and Engineering Applications, 3(1), 13-19. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/465
2745-0120
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/10685
https://doi.org/10.32397/tesea.vol3.n1.3
dc.language.iso.es_CO.fl_str_mv eng
language eng
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dc.rights.cc.*.fl_str_mv Atribución 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 7 páginas
dc.format.mimetype.es_CO.fl_str_mv application/pdf
dc.publisher.place.es_CO.fl_str_mv Cartagena de Indias
dc.publisher.sede.es_CO.fl_str_mv Campus Tecnológico
dc.publisher.discipline.es_CO.fl_str_mv Ingeniería Eléctrica
dc.source.es_CO.fl_str_mv Transactions on energy systems and engineering applications, vol. 3 no. 1
institution Universidad Tecnológica de Bolívar
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spelling Molina, Juan D.a6689ca0-d2fe-48d6-873e-ec033855aa34Buitrago, Luisa F.01b78d59-3018-4458-a7d5-a2f3dfba77c7Téllez, Sandra M.ebac49a2-f0a0-4a65-9ca6-056bd8e8d6adGiraldo, Sandra Y.b78f0d4b-f06f-44f0-aa58-1d69ba7791daUribe, Jaime A.f5c0572d-0f7d-40b2-9552-62115e8ad5002022-04-27T21:17:55Z2022-04-27T21:17:55Z2022-03-242022-04-22Molina, J., Buitrago, L., Téllez, S., Giraldo, S., & Uribe, J. (2022). Demand Response Program Implementation Methodology: A Colombian Study Case. Transactions on Energy Systems and Engineering Applications, 3(1), 13-19. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/4652745-0120https://hdl.handle.net/20.500.12585/10685https://doi.org/10.32397/tesea.vol3.n1.3Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe industrialization and urbanization are responsible for Greenhouse Gas (GHG) emissions and could generate energy shortage problems. The application of Demand Response (DR) programs enables the user to be empowered towards a conscious consumption of energy, allowing the reduction or displacement of the demand for electrical energy, contributing to the sustainable development of the sector and the operational efficiency of the electrical system, among others. A reference framework for this type of program is detailed along with a literature survey applied to the Colombian case. The considerations on the design of a methodology to the implementation of the DR pilot, considering if the pilot is in an interconnected system zone or non-interconnected system zone and the application of the design methodology in the modeling of three DR pilots in Colombia is presented. For the modeling of the pilots, the characteristics of the area and the base consumption of the users are considered, and the characteristics and assumptions of the pilot are also defined. Furthermore, the DR pilot in each zone considering four types of users is detailed. The results show the potential for energy reduction and displacement in different time bands for each zone, which allows determining the assessment of the benefits from a technical, financial, and environmental point of view, and the costs of each pilot in monetary terms, it not to compare the pilots with each other, but to illustrate the values that must be taken into account in those analyses. The sensitivity analysis of each pilot was also carried out, considering the variation of the benefit/cost relationship with the energy rate in peak hours vs. off-peak hours and the base energy rate in the area. The sensitivity analysis shows that, when varying the level of energy demand response and the number of pilot participants, the values are presented when the benefit/cost ratio is greater than 1. In addition, the paper provides specific recommendations related to the design of a methodology and the implementation in a pilot DR using simulation.7 páginasapplication/pdfenghttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAtribución 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Transactions on energy systems and engineering applications, vol. 3 no. 1Demand response program implementation methodology: A Colombian study caseinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Demand responseDemand response programsPilot designEnergy managementLEMBCartagena de IndiasCampus TecnológicoIngeniería EléctricaInvestigadoresL. Raju, A. Swetha, C. K. Shruthi, and J. Shruthi, “Implementationof demand response management in microgrids using iot and machinelearning,” in2021 5th International Conference on Intelligent Computingand Control Systems (ICICCS), pp. 455–463, 2021E. Klaassen, R. van Gerwen, J. Frunt, and J. Slootweg, “A methodologyto assess demand response benefits from a system perspective: A dutchcase study,”Utilities Policy, vol. 44, pp. 25–37, 2017L. Arias, E. Rivas, and F. Santamaría, “Preparation of demand responsemanagement: Case study,” in2018 IEEE ANDESCON, pp. 1–6, 2018K. Maneebang, K. Methapatara, and J. Kudtongngam, “A demandside management solution: Fully automated demand response usingopenadr2.0b coordinating with bems pilot project,” in2020 International Conference on Smart Grids and Energy Systems (SGES), pp. 30–35,2020L. Kurevska, A. Sauhats, G. Junghans, and V. Lavrinovcs, “Measuringthe impact of demand response services on electricity prices in latvianelectricity market,” in2020 IEEE 61th International Scientific Confer-ence on Power and Electrical Engineering of Riga Technical University (RTUCON), pp. 1–4, 2020T. W. Bank, “World bank open data.” https://data.worldbank.org/indicator/EG.USE.ELEC.KH.PC?locations=CO, 2021R. Hernandez, “Apagar si pag ́o,” in CIDET, vol. Nov., pp. 1–14, 2017C. Inteligente, “Respuesta de la demanda: Estrategia para la mitigación de gases de efecto invernadero,” 2019X. Zhihan, C. Tieyi, X. Li, L. Kai, C. Songsong, and Y. Jindou,“Research on the implementation architecture and demand responsecontrolling strategy for adjustable load,” in2020 IEEE 2nd International Conference on Circuits and Systems (ICCS), pp. 59–63, 2020D. Valencia-L, S. X. Carvajal Quintero, and J. Pineda-Agudelo, “Designof demand management programs for the efficient use of electricity byindustrial users, ”Ingeniería y competitividad, vol. 19, pp. 207 – 218,06 2017.J. D. Molina, L. F. Buitrago, and J. A. Zapata, “Design of demandresponse programs: Customer preferences experiences in Colombia,” in2020 IEEE PES Transmission Distribution Conference and Exhibition -Latin America (T D LA), pp. 1–6, 2020DOE, “Customer acceptance, retention, and response to time- based rates from the consumer behavior studies,,” 2016.C. Inteligente, “Fomento programas rd,” 2020D. Muthirayan, D. Kalathil, K. Poolla, and P. Varaiya, “Baseline esti-mation and scheduling for demand response,” in 2018 IEEE Conferenceon Decision and Control (CDC), pp. 4857–4862, 2018R. Congreso, “Ley 1715 de 2014: Por medio de la cual se regula la integración de las energías renovables no convencionales al sistema energético nacional,” 2014CREG, “Resolución número 203 de 2013,” 2014CREG, “Resolución número 029 de 2016. por la cual se define un esquema de tarifas diferenciales para establecer los costos de prestación del servicio de energía eléctrica a usuarios regulados en el sin para promover el ahorro voluntario de energía,” 2016.CREG, “Resolución número 039 de 2016. por la cual se modifica, aclara y simplifica la resolución creg 029 de 2016,” 2016CREG, “Resolución número 049 de 2016. por la cual se aclara la resolución creg 025 de 2016 y la resolución creg 029 de 2016,” 2016UPME, “Desarrollo de una metodología para determinar los costos de racionamiento de los sectores de electricidad y gas natural,” 2015http://purl.org/coar/resource_type/c_2df8fbb1ORIGINALDemand Response Program Implementation Methodology A Colombian Study Case.pdfDemand Response Program 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