Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An innovative decision-making approach for a sustainable building design
Data science and Information Technologies are currently playing a crucial role in the context of buildings sustainability and energy efficiency. The achievements of relevant energy performances through the optimal control of building subsystems and the introduction of innovative decision support tools in the early-stages of the design are noteworthy features of contemporary smart buildings. Smart buildings are demonstrating several distinctive features that are opening new markets and establishing new innovative design solution. Not surprisingly, the design phase of new buildings has acquired primary importance for the improvement of sustainability and the reduction of the energy demand. Nowadays, buildings represent 40% of world primary energy consumption and 24% of greenhouse emissions. There is a growing interest in precisely understanding and profiling the actual building energy consumptions (e.g., when higher peaks occur and how much they are). This implies that the development of advanced energy consumption measurements, verification instruments and forecasting algorithms is an emerging need. Indeed, existing building simulation tools provide a realistic representation of building operations only when the simulated models are properly calibrated and validated. Thanks to these instruments, in this context, the objective of the present research thesis is to carry out a development of decision support tool, based on a parametric analysis, for helping designers in evaluating the choice of different building components, such as insulation foams and glazing systems and evaluating their benefits for thermal comfort and energy savings through a real building performance simulation model. In fact, the developed tool is intended to play an important role in the early design phase, when it is well known that parametric analysis is useful for evaluating high-level benchmarking. On the other hand, the complexity related to the large number of variables affecting the building behavior prevents achieving a precise ...
An innovative decision-making approach for a sustainable building design
Data science and Information Technologies are currently playing a crucial role in the context of buildings sustainability and energy efficiency. The achievements of relevant energy performances through the optimal control of building subsystems and the introduction of innovative decision support tools in the early-stages of the design are noteworthy features of contemporary smart buildings. Smart buildings are demonstrating several distinctive features that are opening new markets and establishing new innovative design solution. Not surprisingly, the design phase of new buildings has acquired primary importance for the improvement of sustainability and the reduction of the energy demand. Nowadays, buildings represent 40% of world primary energy consumption and 24% of greenhouse emissions. There is a growing interest in precisely understanding and profiling the actual building energy consumptions (e.g., when higher peaks occur and how much they are). This implies that the development of advanced energy consumption measurements, verification instruments and forecasting algorithms is an emerging need. Indeed, existing building simulation tools provide a realistic representation of building operations only when the simulated models are properly calibrated and validated. Thanks to these instruments, in this context, the objective of the present research thesis is to carry out a development of decision support tool, based on a parametric analysis, for helping designers in evaluating the choice of different building components, such as insulation foams and glazing systems and evaluating their benefits for thermal comfort and energy savings through a real building performance simulation model. In fact, the developed tool is intended to play an important role in the early design phase, when it is well known that parametric analysis is useful for evaluating high-level benchmarking. On the other hand, the complexity related to the large number of variables affecting the building behavior prevents achieving a precise ...
An innovative decision-making approach for a sustainable building design
01.01.2018
doi:10.60576/poliba/iris/ardito-giuseppe_phd2018
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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