3 research outputs found

    Advanced energy management strategies for HVAC systems in smart buildings

    Get PDF
    The efficacy of the energy management systems at dealing with energy consumption in buildings has been a topic with a growing interest in recent years due to the ever-increasing global energy demand and the large percentage of energy being currently used by buildings. The scale of this sector has attracted research effort with the objective of uncovering potential improvement avenues and materializing them with the help of recent technological advances that could be exploited to lower the energetic footprint of buildings. Specifically, in the area of heating, ventilating and air conditioning installations, the availability of large amounts of historical data in building management software suites makes possible the study of how resource-efficient these systems really are when entrusted with ensuring occupant comfort. Actually, recent reports have shown that there is a gap between the ideal operating performance and the performance achieved in practice. Accordingly, this thesis considers the research of novel energy management strategies for heating, ventilating and air conditioning installations in buildings, aimed at narrowing the performance gap by employing data-driven methods to increase their context awareness, allowing management systems to steer the operation towards higher efficiency. This includes the advancement of modeling methodologies capable of extracting actionable knowledge from historical building behavior databases, through load forecasting and equipment operational performance estimation supporting the identification of a building鈥檚 context and energetic needs, and the development of a generalizable multi-objective optimization strategy aimed at meeting these needs while minimizing the consumption of energy. The experimental results obtained from the implementation of the developed methodologies show a significant potential for increasing energy efficiency of heating, ventilating and air conditioning systems while being sufficiently generic to support their usage in different installations having diverse equipment. In conclusion, a complete analysis and actuation framework was developed, implemented and validated by means of an experimental database acquired from a pilot plant during the research period of this thesis. The obtained results demonstrate the efficacy of the proposed standalone contributions, and as a whole represent a suitable solution for helping to increase the performance of heating, ventilating and air conditioning installations without affecting the comfort of their occupants.L鈥檈fic脿cia dels sistemes de gesti贸 d鈥檈nergia per afrontar el consum d鈥檈nergia en edificis 茅s un tema que ha rebut un inter猫s en augment durant els darrers anys a causa de la creixent demanda global d鈥檈nergia i del gran percentatge d鈥檈nergia que n鈥檜tilitzen actualment els edificis. L鈥檈scala d鈥檃quest sector ha atret l'atenci贸 de nombrosa investigaci贸 amb l鈥檕bjectiu de descobrir possibles vies de millora i materialitzar-les amb l鈥檃juda de recents aven莽os tecnol貌gics que es podrien aprofitar per disminuir les necessitats energ猫tiques dels edificis. Concretament, en l鈥櫭爎ea d鈥檌nstal路lacions de calefacci贸, ventilaci贸 i climatitzaci贸, la disponibilitat de grans bases de dades hist貌riques als sistemes de gesti贸 d鈥檈dificis fa possible l鈥檈studi de com d'eficients s贸n realment aquests sistemes quan s鈥檈ncarreguen d'assegurar el confort dels seus ocupants. En realitat, informes recents indiquen que hi ha una difer猫ncia entre el rendiment operatiu ideal i el rendiment generalment assolit a la pr脿ctica. En conseq眉猫ncia, aquesta tesi considera la investigaci贸 de noves estrat猫gies de gesti贸 de l鈥檈nergia per a instal路lacions de calefacci贸, ventilaci贸 i climatitzaci贸 en edificis, destinades a reduir la difer猫ncia de rendiment mitjan莽ant l鈥櫭簊 de m猫todes basats en dades per tal d'augmentar el seu coneixement contextual, permetent als sistemes de gesti贸 dirigir l鈥檕peraci贸 cap a zones de treball amb un rendiment superior. Aix貌 inclou tant l鈥檃van莽 de metodologies de modelat capaces d鈥檈xtreure coneixement de bases de dades de comportaments hist貌rics d鈥檈dificis a trav茅s de la previsi贸 de c脿rregues de consum i l鈥檈stimaci贸 del rendiment operatiu dels equips que recolzin la identificaci贸 del context operatiu i de les necessitats energ猫tiques d鈥檜n edifici, tant com del desenvolupament d鈥檜na estrat猫gia d鈥檕ptimitzaci贸 multi-objectiu generalitzable per tal de minimitzar el consum d鈥檈nergia mentre es satisfan aquestes necessitats energ猫tiques. Els resultats experimentals obtinguts a partir de la implementaci贸 de les metodologies desenvolupades mostren un potencial important per augmentar l'efici猫ncia energ猫tica dels sistemes de climatitzaci贸, mentre que s贸n prou gen猫rics com per permetre el seu 煤s en diferents instal路lacions i suportant equips diversos. En conclusi贸, durant aquesta tesi es va desenvolupar, implementar i validar un marc d鈥檃n脿lisi i actuaci贸 complet mitjan莽ant una base de dades experimental adquirida en una planta pilot durant el per铆ode d鈥檌nvestigaci贸 de la tesi. Els resultats obtinguts demostren l鈥檈fic脿cia de les contribucions de manera individual i, en conjunt, representen una soluci贸 id貌nia per ajudar a augmentar el rendiment de les instal路lacions de climatitzaci贸 sense afectar el confort dels seus ocupantsPostprint (published version

    Advanced energy management strategies for HVAC systems in smart buildings

    Get PDF
    The efficacy of the energy management systems at dealing with energy consumption in buildings has been a topic with a growing interest in recent years due to the ever-increasing global energy demand and the large percentage of energy being currently used by buildings. The scale of this sector has attracted research effort with the objective of uncovering potential improvement avenues and materializing them with the help of recent technological advances that could be exploited to lower the energetic footprint of buildings. Specifically, in the area of heating, ventilating and air conditioning installations, the availability of large amounts of historical data in building management software suites makes possible the study of how resource-efficient these systems really are when entrusted with ensuring occupant comfort. Actually, recent reports have shown that there is a gap between the ideal operating performance and the performance achieved in practice. Accordingly, this thesis considers the research of novel energy management strategies for heating, ventilating and air conditioning installations in buildings, aimed at narrowing the performance gap by employing data-driven methods to increase their context awareness, allowing management systems to steer the operation towards higher efficiency. This includes the advancement of modeling methodologies capable of extracting actionable knowledge from historical building behavior databases, through load forecasting and equipment operational performance estimation supporting the identification of a building鈥檚 context and energetic needs, and the development of a generalizable multi-objective optimization strategy aimed at meeting these needs while minimizing the consumption of energy. The experimental results obtained from the implementation of the developed methodologies show a significant potential for increasing energy efficiency of heating, ventilating and air conditioning systems while being sufficiently generic to support their usage in different installations having diverse equipment. In conclusion, a complete analysis and actuation framework was developed, implemented and validated by means of an experimental database acquired from a pilot plant during the research period of this thesis. The obtained results demonstrate the efficacy of the proposed standalone contributions, and as a whole represent a suitable solution for helping to increase the performance of heating, ventilating and air conditioning installations without affecting the comfort of their occupants.L鈥檈fic脿cia dels sistemes de gesti贸 d鈥檈nergia per afrontar el consum d鈥檈nergia en edificis 茅s un tema que ha rebut un inter猫s en augment durant els darrers anys a causa de la creixent demanda global d鈥檈nergia i del gran percentatge d鈥檈nergia que n鈥檜tilitzen actualment els edificis. L鈥檈scala d鈥檃quest sector ha atret l'atenci贸 de nombrosa investigaci贸 amb l鈥檕bjectiu de descobrir possibles vies de millora i materialitzar-les amb l鈥檃juda de recents aven莽os tecnol貌gics que es podrien aprofitar per disminuir les necessitats energ猫tiques dels edificis. Concretament, en l鈥櫭爎ea d鈥檌nstal路lacions de calefacci贸, ventilaci贸 i climatitzaci贸, la disponibilitat de grans bases de dades hist貌riques als sistemes de gesti贸 d鈥檈dificis fa possible l鈥檈studi de com d'eficients s贸n realment aquests sistemes quan s鈥檈ncarreguen d'assegurar el confort dels seus ocupants. En realitat, informes recents indiquen que hi ha una difer猫ncia entre el rendiment operatiu ideal i el rendiment generalment assolit a la pr脿ctica. En conseq眉猫ncia, aquesta tesi considera la investigaci贸 de noves estrat猫gies de gesti贸 de l鈥檈nergia per a instal路lacions de calefacci贸, ventilaci贸 i climatitzaci贸 en edificis, destinades a reduir la difer猫ncia de rendiment mitjan莽ant l鈥櫭簊 de m猫todes basats en dades per tal d'augmentar el seu coneixement contextual, permetent als sistemes de gesti贸 dirigir l鈥檕peraci贸 cap a zones de treball amb un rendiment superior. Aix貌 inclou tant l鈥檃van莽 de metodologies de modelat capaces d鈥檈xtreure coneixement de bases de dades de comportaments hist貌rics d鈥檈dificis a trav茅s de la previsi贸 de c脿rregues de consum i l鈥檈stimaci贸 del rendiment operatiu dels equips que recolzin la identificaci贸 del context operatiu i de les necessitats energ猫tiques d鈥檜n edifici, tant com del desenvolupament d鈥檜na estrat猫gia d鈥檕ptimitzaci贸 multi-objectiu generalitzable per tal de minimitzar el consum d鈥檈nergia mentre es satisfan aquestes necessitats energ猫tiques. Els resultats experimentals obtinguts a partir de la implementaci贸 de les metodologies desenvolupades mostren un potencial important per augmentar l'efici猫ncia energ猫tica dels sistemes de climatitzaci贸, mentre que s贸n prou gen猫rics com per permetre el seu 煤s en diferents instal路lacions i suportant equips diversos. En conclusi贸, durant aquesta tesi es va desenvolupar, implementar i validar un marc d鈥檃n脿lisi i actuaci贸 complet mitjan莽ant una base de dades experimental adquirida en una planta pilot durant el per铆ode d鈥檌nvestigaci贸 de la tesi. Els resultats obtinguts demostren l鈥檈fic脿cia de les contribucions de manera individual i, en conjunt, representen una soluci贸 id貌nia per ajudar a augmentar el rendiment de les instal路lacions de climatitzaci贸 sense afectar el confort dels seus ocupant
    corecore