Characterization and analysis of energy demand patterns in airports

Airports in general have high-energy consumption. Influenced by many factors, the characteristics of airport energy consumption are stochastic, nonlinear and dynamic. In recent years, airport managers have made huge efforts to harmonize airport operation with environmental sustainability by minimizi...

ver descrição completa

Detalhes bibliográficos
Autores: Ortega Alba, Sergio|||0000-0002-7618-5713, Mañana Canteli, Mario|||0000-0001-6886-8170
Formato: artículo
Fecha de publicación:2017
País:España
Recursos:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/11006
Acesso em linha:http://hdl.handle.net/10902/11006
Access Level:acceso abierto
Palavra-chave:Airports
Energy modeling
Energy demand patterns
Electric load profile
Electric charges
Loads
Infrastructure energy conservation
Energy consumption
Energy efficiency
id ES_cd0cd132f6c8ca65f0de00dc62496c76
oai_identifier_str oai:repositorio.unican.es:10902/11006
network_acronym_str ES
network_name_str España
repository_id_str
spelling Characterization and analysis of energy demand patterns in airportsOrtega Alba, Sergio|||0000-0002-7618-5713Mañana Canteli, Mario|||0000-0001-6886-8170AirportsEnergy modelingEnergy demand patternsElectric load profileElectric chargesLoadsInfrastructure energy conservationEnergy consumptionEnergy efficiencyAirports in general have high-energy consumption. Influenced by many factors, the characteristics of airport energy consumption are stochastic, nonlinear and dynamic. In recent years, airport managers have made huge efforts to harmonize airport operation with environmental sustainability by minimizing the environmental impact, with energy conservation and energy efficiency as one of their pillars. A key factor in order to reduce energy consumption at airports is to understand the energy use and consumption behavior, due to the multiple parameters and singularities that are involved. In this article, a 3-step methodology based on monitoring methods is proposed to characterize and analyze energy demand patterns in airports through their electric load profiles, and is applied to the Seve Ballesteros-Santander Airport (Santander, Spain). This methodology can be also used in airports in order to determine the way energy is used, to establish the classification of the electrical charges based on their operation way as well as to determine the main energy consumers and main external influencers. Results show that airport present a daily energy demand pattern since electric load profiles follow a similar curve shape for every day of the year, having a great dependence of the terminal building behavior, the main energy consumer of the airport, and with heating, ventilation and air conditioning (HVAC) and lighting being the most energy-intensive facilities, and outside temperature and daylighting the main external influencers.MDPIUniversidad de Cantabria20172017-01-19journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/11006Energies, 2017, 10(1), 119reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/110062026-06-02T12:39:31Z
dc.title.none.fl_str_mv Characterization and analysis of energy demand patterns in airports
title Characterization and analysis of energy demand patterns in airports
spellingShingle Characterization and analysis of energy demand patterns in airports
Ortega Alba, Sergio|||0000-0002-7618-5713
Airports
Energy modeling
Energy demand patterns
Electric load profile
Electric charges
Loads
Infrastructure energy conservation
Energy consumption
Energy efficiency
title_short Characterization and analysis of energy demand patterns in airports
title_full Characterization and analysis of energy demand patterns in airports
title_fullStr Characterization and analysis of energy demand patterns in airports
title_full_unstemmed Characterization and analysis of energy demand patterns in airports
title_sort Characterization and analysis of energy demand patterns in airports
dc.creator.none.fl_str_mv Ortega Alba, Sergio|||0000-0002-7618-5713
Mañana Canteli, Mario|||0000-0001-6886-8170
author Ortega Alba, Sergio|||0000-0002-7618-5713
author_facet Ortega Alba, Sergio|||0000-0002-7618-5713
Mañana Canteli, Mario|||0000-0001-6886-8170
author_role author
author2 Mañana Canteli, Mario|||0000-0001-6886-8170
author2_role author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Airports
Energy modeling
Energy demand patterns
Electric load profile
Electric charges
Loads
Infrastructure energy conservation
Energy consumption
Energy efficiency
topic Airports
Energy modeling
Energy demand patterns
Electric load profile
Electric charges
Loads
Infrastructure energy conservation
Energy consumption
Energy efficiency
description Airports in general have high-energy consumption. Influenced by many factors, the characteristics of airport energy consumption are stochastic, nonlinear and dynamic. In recent years, airport managers have made huge efforts to harmonize airport operation with environmental sustainability by minimizing the environmental impact, with energy conservation and energy efficiency as one of their pillars. A key factor in order to reduce energy consumption at airports is to understand the energy use and consumption behavior, due to the multiple parameters and singularities that are involved. In this article, a 3-step methodology based on monitoring methods is proposed to characterize and analyze energy demand patterns in airports through their electric load profiles, and is applied to the Seve Ballesteros-Santander Airport (Santander, Spain). This methodology can be also used in airports in order to determine the way energy is used, to establish the classification of the electrical charges based on their operation way as well as to determine the main energy consumers and main external influencers. Results show that airport present a daily energy demand pattern since electric load profiles follow a similar curve shape for every day of the year, having a great dependence of the terminal building behavior, the main energy consumer of the airport, and with heating, ventilation and air conditioning (HVAC) and lighting being the most energy-intensive facilities, and outside temperature and daylighting the main external influencers.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-19
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/11006
url http://hdl.handle.net/10902/11006
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Energies, 2017, 10(1), 119
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419775086559232
score 15,300719

Registos relacionados