The realization of several silvicultural treatments in the Canary Islands entails the felling of the Canarian pine that can be an energy source as lignocellulosic biomass. The kinetic parameters of the pyrolysis of the Canary pine, which were yet unavailable in the literature, were determined. The isoconversional methods of Kissinger and Flynn− Wall−Ozawa and a model-based method were comparatively evaluated. The latter model mentioned considers that it is possible to describe the pyrolysis through a parallel reaction scheme of three pseudo components that represent hemicellulose, cellulose, and lignin. The model fit was improved setting a Gaussian function centered on the peak as the inverse of the error. Using the mean proportions obtained for each pseudocomponent, the elemental chemical composition of the Canarian pine was calculated. The results show a good agreement between the experimental and calculated chemical composition. The difference between both compositions was −3.6%, 0.3%, and 3.7% for C, H, and O, respectively.
Nowadays, the computational simulation of the energy consumption in buildings is a key issue to determine the most proficient configuration between the construction solutions and the necessary equipment, without compromising comfort and accomplishing the legal requirements for each country. The feasible and most profitable solutions can lead to minimizing CO2 emissions and environmental impact. In this work, the internal enclosures influencing the evaluation of energy consumption by energy simulation have been analysed in order to obtain an accurate solution when all the information regarding the internal partitions is not available. The main aim of the present research was to evaluate the role of internal distribution in the simulations of the total building energy consumption. Differences between the results of the energy simulations of buildings that are calculated considering their internal distribution, and those in which only the exterior geometry that makes up the perimeter of the envelope are being described. In this way, it is intended to establish a correction factor based on the building typology and the European climate zone that allows simulation tools to describe the energy reality of a building without knowing its internal distribution.
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