Estudio de las posibilidades que ofrecen las herramientas computacionales para el análisis de edificios construidos y su mejora desde un punto de vista energético en un clima cálido seco

El modelado y simulación de edificaciones se ha convertido en una herramienta primordial para predecir el comportamiento del edificio antes y después de construido. Debido a que la legislación colombiana y las certificaciones internacionales hacen énfasis en el consumo energético, es necesario anali...

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Autores:
Becerra Carreño, Daniela
Diaz Torres, Miguel Angel
Tipo de recurso:
http://purl.org/coar/version/c_b1a7d7d4d402bcce
Fecha de publicación:
2016
Institución:
Universidad Industrial de Santander
Repositorio:
Repositorio UIS
Idioma:
spa
OAI Identifier:
oai:noesis.uis.edu.co:20.500.14071/34456
Acceso en línea:
https://noesis.uis.edu.co/handle/20.500.14071/34456
https://noesis.uis.edu.co
Palabra clave:
Simulación
Consumo Energético
Herramientas Computacionales
Trnsys
Energyplus
Google Sketchup.
The modeling and simulation of buildings has become an essential way for predicting the behavior of the building before and after being built. Since the colombian laws and international certifications focus in the energy consumption
it is necessary to analyze the viability of alternatives that are cost effective and improve the thermal comfort
saving energy and the sustainability of buildings. These alternatives can be applied at all stages throughout the design and the construction of a building. With the increasing interest in the climate change and the global warming
the energy simulation programs are increasingly needed in the construction sector. The choice of which simulation software should be used might vary in each case
each tool offers multiple possibilities and the use of them
depends on the requirements and the features to evaluate. According to the above
this project proposes the energy simulation for a year of a building in the city of Bucaramanga
analyzing the internal loads
air conditioning systems and architectural features of its envelope
using two computational tools: TRNSYS and EnergyPlus
which have a graphical interface in common: GOOGLE SKETCHUP. Then
strategies that reduce energy demand are simulated and the most viable are selected to implement in a warm dry weather.
Rights
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)