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Full-Text Articles in Architecture
Data-Driven Framework For Predicting And Scheduling Household Charging Of Evs, Ahmad Almaghrebi
Data-Driven Framework For Predicting And Scheduling Household Charging Of Evs, Ahmad Almaghrebi
Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research
The increasing prevalence of EV charging poses challenges for power grid stability and quality due to high charging load demands. Without effective energy management strategies for EV charging, the simultaneous power demand from numerous EVs can strain the electric grid, impacting power quality and the wholesale electricity market. To address these challenges, this dissertation presents a comprehensive framework comprising five critical tasks: analyzing EV charging behavior, optimizing charging schedules, developing predictive models, analyzing aggregated impacts, and evaluating implications of predicted user behavior on scheduling. By examining EV charging behavior at household and public charging stations, this study aims to understand …
Data Driven Approach To Thermal Comfort Model Design, Mostafa Rafaiejokandan
Data Driven Approach To Thermal Comfort Model Design, Mostafa Rafaiejokandan
Durham School of Architectural Engineering and Construction: Dissertations, Thesis, and Student Research
Apart from the dominant environmental factors such as relative humidity, radiant, and ambient temperatures, studies have confirmed that thermal comfort significantly depends on internal personal parameters such as metabolic rate, age, and health status. This study reviews the sensitivity of the Predicted Mean Vote (PMV) thermal comfort model relative to its environmental and personal parameters of a group of people in a space. PMV model equations adapted in ASHRAE Standard 55–Thermal Environmental Conditions for Human Occupancy, are used in this investigation to conduct a parametric study by generating and analyzing multi-dimensional comfort zone plots. It has been found that personal …