Desarrollo de un modelo energético de edificio basado en algoritmos de confort adaptativo bajo el cambio climáticoAdaptive-Comfort-Control-Implemented-Model (ACCIM)

Abstract

Currently, the knowledge of energy consumption in new and existing residential buildings is essential for the control and proposal of energy conservation measures. Most of the predictions of energy consumption in buildings are based on fixed values in reference to the indoor termal environment and on standard operating hypotheses that move away from the dynamic use of the building and the demands of the users. The case of Spain is a clear example of this. Therefore, this doctoral thesis proposes the use of an adaptive thermal comfort model as a method of predicting energy consumption in the indoor thermal environment with a simulation model: the Adaptive-Comfort-Control-Implemented Model (ACCIM). After validation of the current adaptive thermal comfort algorithms by means of thermal comfort surveys and monitoring of a representative building for residential and office use, the operational algorithms of adaptive comfort are determined in climatic zones of Spain representative of intermediate climate (D3), severe summer (B4) and winter (E1), and in the climatic scenarios of 2050 and 2080; and subsequently a dynamic simulation model of adaptive demand and consumption is developed. The stages previously defined allow to address the following analyses consisting on the identification of the potential and influence of adaptive demand and consumption parameters: firstly, (i) the influence of the expectation level of the occupant on the thermal environment is studied, considering as a simulation variable the different categories of thermal expectation; (ii) secondly, the influence of the thermal comfort model used when the adaptive model is not applicable is studied, giving rise to 3 variants of the hybrid model; (iii) thirdly, the potential and influence of the use of mixed mode is studied, and lastly, (iv) the influence of Representative Concentration Pathways (RCP) scenarios is studied. As a result of this thesis, a global vision is obtained about the influence of the use of ACCIM on energy consumption. This would have application in the design of buildings resilient to climate change and could allow the reduction in energy consumption without reducing thermal confort levels with investments much lower than those of conventional energy saving measures.