Bøger af Salvatore Carlucci

The energy design of a building can be considered and formalized as a multivariable optimization problem. Once (and if) objectives are all clearly and explicitly spelled out, the challenge for the designers is how to explore the set of building variants compatible with the given constraints and to isolate the one(s) best fulfilling the objectives. The set of variants compatible with the constraints is generally much larger of what can be explored in a reasonable time span, even by making some a priori choices to guide the design based on previous experience and a first order approximation of physical laws. The goal of this research work is to develop and test an automated optimization process which may support designers in systematically exploring the domain of building variants in order to identify the most suitable one(s) to both guarantee a thermal comfortable indoor environment and minimize, or bring to zero, the energy needs for thermal control of such building.

A number of metrics for assessing human thermal response to climatic conditions have been proposed in scientific literature over the last decades. They aim at describing human thermal perception of the thermal environment to which an individual or a group of people is exposed. More recently, a new type of "discomfort index" has been proposed for describing, in a synthetic way, long-term phenomena. Starting from a systematic review of a number of long-term global discomfort indices, they are then contrasted and compared on a reference case study in order to identify their similarities and differences and strengths and weaknesses. Based on this analysis, a new short-term local discomfort index is proposed for the American Adaptive comfort model. Finally, a new and reliable long-term general discomfort index is presented. It is delivered in three versions and each of them is suitable to be respectively coupled with the Fanger, the European Adaptive and the American Adaptive comfort models.