Use of association rules to determine technological-constructive solutions for the improvement of energy efficiency in healthcare buildings
Utilización de reglas de asociación para determinar soluciones tecnológico-constructivas para el mejoramiento de la eficiencia energética en edificios de salud
Utilização de regras de associação para determinar soluções tecnológicas-construtivas para a melhoria da eficiência energética em edifícios de cuidados de saúde
| 2023 | |
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Planificación urbana Sector salud Envolvente edilicia Reciclado edilicio Ahorro de energía Eficiencia energética Minería de datos Reglas de asociación Soluciones tecnológico-constructivas urban planning health sector building envelope building recycling energy saving energy efficiency data mining building technology strategies Planeamento urbano Sector da saúde Envolvente de edifícios Reciclagem de edifícios Economia de energia Eficiência energética Extração de dados Estratégias de tecnologia de construção |
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| Español | |
| Universidad ORT Uruguay | |
| RAD | |
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https://revistas.ort.edu.uy/anales-de-investigacion-en-arquitectura/article/view/3484
http://hdl.handle.net/20.500.11968/6622 |
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| Acceso abierto | |
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Derechos de autor 2023 Emilia Urteneche, Dante Andrés Barbero, Irene Martini http://creativecommons.org/licenses/by/4.0 |
| Sumario: | In the year 2022, in Argentina, the energy consumption of the building stock of the Residential and Commercial-Public Sectors exceeded 34 % and a significant part of this consumption is due to air conditioning requirements. In turn, the air conditioning demands are affected by the energy efficiency of the building envelope, since it is through it that the heat exchange between the interior of the building and its surroundings takes place. This work presents the application of a data mining method, the association rules, to discover the most representative technological-constructive solutions present in the building envelope, in this case, corresponding to buildings intended for health (Commercial-Public Sector). To do so, it is necessary to identify the different technological-constructive solutions present in the building envelope (walls, windows and ceilings) in the different buildings. With such data as input, the algorithm produces as results sets of combinations of envelope elements that appear frequently associated. From these results, it is expected to improve the energy efficiency of the most representative building envelopes by suggesting specific measures for each set found, thus facilitating their implementation on a massive scale. |
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