Browsing by Author "Ramos, Nuno"
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- Influence of input data uncertainty in school buildings energy simulationPublication . Almeida, Ricardo; Ramos, NunoIn developed countries, the building sector is responsible for a very significant share of the total energy consumption. A more detailed and rigorous analysis of building energy performance became possible due to the building simulation software improvement. Traditionally, buildings energy simulation requires the definition of a set of input parameters, which are usually considered as deterministic, neglecting the fact that in reality they have a stochastic nature. Hence, if one intends to evaluate the uncertainty in simulation due to the uncertainty of the input parameters, stochastic methods, such as Monte Carlo simulations should be employed. This paper presents a methodology for the stochastic simulation of school buildings for tackling input data uncertainty. The Monte Carlo method application in the evaluation of the uncertainty of the heat demand of a school building provides an example case where the opportunities and difficulties of the method are explored. The methodology includes parameter characterization, sampling procedure, simulation automatization and sensitivity analysis. Its application results in increased knowledge of the building, allowing to define targets that include the stochastic effect.
- Variability of energy and water consumption of school buildingsPublication . Almeida, Ricardo; Ramos, Nuno; Simões, Maria; Freitas, VascoIn developed countries, the building sector is responsible for a very significant share of the total energy consumption. School buildings, since they are places where children are educated and learn to become active members of the society, must be a good example of efficient use of energy and water. In this study, data of the energy and water consumption of 23 Portuguese schools and their main building characteristics and properties was gathered. This information was normalized in order to homogenize the data set and then analysed using advanced statistical tools. The results show a significant variability in the consumption of different schools, even with similar characteristics, suggesting that there may be space to an improvement in its efficiency.