Validação ampla de operação de edificações

• Ano de defesa: 2013
• Autor(a) principal: Laura Caixeta Braga
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Engenharia Elétrica; Energia eletrica; Engenharia elétrica
• Link de acesso: http://hdl.handle.net/1843/BUBD-9GHH5Q

A methodology for buildings operation validation is proposed. This methodology is based on Validation, a practice widely applied in the process industry. A rereading of all the methodological steps of validation is done and it is adapted to the study area. The proposed steps were tested in simulated buildings and applied in a real building. A software tool was also developed for performing the online validation of buildings. This software enables monitoring, data analysis and automatic generation of alarms and suggested actions for control purposes. It monitors the usual profile of energy consumption and the conditions of thermal and luminic comfort, identifying changes or out of comfort occurrences and enabling corrective or preventive actions. The computational tool is based on the fact that the buildings usage mode is reflected in the energy consumption, which often presents a cyclical profile. A multichannel structure was proposed for modelling and estimating statistical profile (average and uncertainty) of the energy consumption of a building during a predetermined cycle. These statistics profile is analyzed with Statistical Process Control (SPC) techniques for signaling alarms or reporting interpreted faults of unpredicted or unusual behavior of energy demand. Thermal comfort is also evaluated by applying concepts of multivariate statistical distance on Givonis Bioclimatic Chart. The statistical distance provides a measure of discomfort and its monitoring by T2 Comfort Chart that helps the identification of degradations in internal climatic conditions allowing preventive action to be performed by the artificial air conditioning system. Luminic comfort is monitored and evaluated in accordance to standard required illuminance levels. The luminance data are modeled in a multichannel structure and then the cumulative distance is computed among the measured luminosity and the one determined by standard. The behavior of the cumulative sum is monitored by CUSUM charts.