@article{(Open Science Index):https://publications.waset.org/pdf/10013163,
	  title     = {Assessment of Energy Demand Considering Different Model Simulations in a Low Energy Demand House},
	  author    = {M. Cañada-Soriano and  C. Aparicio-Fernández and  P. Sebastián Ferrer Gisbert and  M. Val Field and  J.-L. Vivancos-Bono},
	  country	= {},
	  institution	= {},
	  abstract     = {The lack of insulation along with the existence of air leakages constitute a meaningful impact on the energy performance of buildings. Both of them lead to increases in the energy demand through additional heating and/or cooling loads. Additionally, they cause thermal discomfort. In order to quantify these uncontrolled air currents, the Blower Door test can be used. It is a standardized procedure that determines the airtightness of a space by characterizing the rate of air leakages through the envelope surface. In this sense, the low-energy buildings complying with the Passive House design criteria are required to achieve high levels of airtightness. Due to the invisible nature of air leakages, additional tools are often considered to identify where the infiltrations take place such as the infrared thermography. The aim of this study is to assess the airtightness of a typical Mediterranean dwelling house, refurbished under the Passive House standard, using the Blower Door test. Moreover, the building energy performance modelling tools TRNSYS (TRaNsient System Simulation program) and TRNFlow (TRaNsient Flow) have been used to estimate the energy demand in different scenarios. In this sense, a sequential implementation of three different energy improvement measures (insulation thickness, glazing type and infiltrations) have been analyzed. },
	    journal   = {International Journal of Energy and Environmental Engineering},
	  volume    = {17},
	  number    = {7},
	  year      = {2023},
	  pages     = {163 - 167},
	  ee        = {https://publications.waset.org/pdf/10013163},
	  url   	= {https://publications.waset.org/vol/199},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 199, 2023},
	}