OPTIMAL SENSOR PLACEMENT FOR PREDICTION OF WIND ENVIRONMENT AROUND BUILDINGS

Abstract

EMERGING CHALLENGES FOR CITIES IN THE NEXT DECADES INCLUDE THOSE THAT ARE RELATED TO ENVIRONMENTAL PROTECTION AND ENERGY EFFICIENCY, PARTICULARLY IN WARM AND TROPICAL CLIMATES. EXPLOITING THE POTENTIAL FOR NATURAL VENTILATION COULD HAVE AN INCREASING ROLE IN MITIGATING ISSUES LINKED TO OUTDOOR THERMAL COMFORT, AIR QUALITY, AS WELL AS BUILDINGS ENVIRONMENTAL AND ENERGY-EFFICIENT PERFORMANCE. . IMPROVING KNOWLEDGE OF WIND FLOW AROUND BUILDINGS HAS CONSEQUENTLY BECOME IMPORTANT AND MUCH RECENT RESEARCH WORK HAS FOCUSED ON WIND PREDICTION. WHILE ACCURATE WIND PREDICTION IS IMPORTANT, THE MODELING PROCESS IS COMPLEX AND PREDICTIONS ARE OFTEN INCOMPATIBLE WITH MEASUREMENTS DUE TO LARGE UNCERTAINTIES ASSOCIATED WITH MODELING AND THE INHERENT CLIMATIC VARIABILITY. THIS RESEARCH CONTRIBUTES TOWARDS IMPROVING WIND PREDICTIONS AROUND BUILDINGS USING A COMBINATION OF SIMULATIONS AND FULL-SCALE MEASUREMENTS. MAIN FINDINGS INCLUDE A METHODOLOGY TO STRATEGICALLY PLACE SENSOR LOCATIONS AND PREDICTIVE