Matching Items (2)
Description
For most of our history humans have been closely tied to energy provided by the sun. Phases of light and dark initiate major biological functions within each day and regulate patterns of sleep and heightened alertness. Daylight was historically synonymous with sophisticated architecture, providing a mysterious play of light and illuminating productive tasks. It is only within the last 150 years that humans have sought to improve upon daylight, largely replacing it with artificially fueled systems. A new scientific approach to providing interior light has focused on the visible spectrum, negating the remainder of energy from our lives. This thesis considers the full spectrum of natural daylight, and its potential for improving human health, and well being. The literature review explores a brief history of solar architecture leading into the 21st century. A case study of the award winning Arabian Library in Scottsdale Arizona reveals four methods of passive daylight integration. A phenomenological ethnographic methodology assessed the impact of these four strategies on interior lighting quality, documented from the designer's perspective. As the science of photobiology continues to advance, it has become clearly evident that natural daylight provides more than mere illumination, and should be considered an essential element of the interior built environment.
ContributorsMarotta, Nickolas A (Author) / Bernardi, Jose (Thesis advisor) / Rowen, Marthe (Committee member) / Bauer, Kelly (Committee member) / Arizona State University (Publisher)
Created2013
Description
An acute and crucial societal problem is the energy consumed in existing commercial buildings. There are 1.5 million commercial buildings in the U.S. with only about 3% being built each year. Hence, existing buildings need to be properly operated and maintained for several decades. Application of integrated centralized control systems in buildings could lead to more than 50% energy savings.
This research work demonstrates an innovative adaptive integrated lighting control approach which could achieve significant energy savings and increase indoor comfort in high performance office buildings. In the first phase of the study, a predictive algorithm was developed and validated through experiments in an actual test room. The objective was to regulate daylight on a specified work plane by controlling the blind slat angles. Furthermore, a sensor-based integrated adaptive lighting controller was designed in Simulink which included an innovative sensor optimization approach based on genetic algorithm to minimize the number of sensors and efficiently place them in the office. The controller was designed based on simple integral controllers. The objective of developed control algorithm was to improve the illuminance situation in the office through controlling the daylight and electrical lighting. To evaluate the performance of the system, the controller was applied on experimental office model in Lee et al.’s research study in 1998. The result of the developed control approach indicate a significantly improvement in lighting situation and 1-23% and 50-78% monthly electrical energy savings in the office model, compared to two static strategies when the blinds were left open and closed during the whole year respectively.
This research work demonstrates an innovative adaptive integrated lighting control approach which could achieve significant energy savings and increase indoor comfort in high performance office buildings. In the first phase of the study, a predictive algorithm was developed and validated through experiments in an actual test room. The objective was to regulate daylight on a specified work plane by controlling the blind slat angles. Furthermore, a sensor-based integrated adaptive lighting controller was designed in Simulink which included an innovative sensor optimization approach based on genetic algorithm to minimize the number of sensors and efficiently place them in the office. The controller was designed based on simple integral controllers. The objective of developed control algorithm was to improve the illuminance situation in the office through controlling the daylight and electrical lighting. To evaluate the performance of the system, the controller was applied on experimental office model in Lee et al.’s research study in 1998. The result of the developed control approach indicate a significantly improvement in lighting situation and 1-23% and 50-78% monthly electrical energy savings in the office model, compared to two static strategies when the blinds were left open and closed during the whole year respectively.
ContributorsKarizi, Nasim (Author) / Reddy, T. Agami (Thesis advisor) / Bryan, Harvey (Committee member) / Dasgupta, Partha (Committee member) / Kroelinger, Michael D. (Committee member) / Arizona State University (Publisher)
Created2015