Cover image for Multi-objective evolutionary optimization of photovoltaic glass for thermal, daylight, and energy consideration
Multi-objective evolutionary optimization of photovoltaic glass for thermal, daylight, and energy consideration
Title:
Multi-objective evolutionary optimization of photovoltaic glass for thermal, daylight, and energy consideration
Author:
Taşer, Aybüke, author.
Personal Author:
Physical Description:
x, 128 leaves: color illustrations, maps, charts;+ 1 computer laser optical disc.
Abstract:
As the industry has expanded and the population has increased recently, so have the World’s energy consumption and greenhouse gas emissions. Buildings are responsible for almost 40% of this consumption and emissions. They should be designed following energy-efficient and sustainable strategies. One of the most practical methods for increasing building energy efficiency and reducing environmental effects is building-integrated photovoltaic systems, which use solar energy to generate electricity on-site. This thesis explores the potential of photovoltaic glass technology in an architecture studio at the Izmir Institute of Technology Campus in Izmir, Turkey. The initial part of the study uses simulation modeling and field measurements in three scenarios to test the benefits of this technology in terms of thermal and lighting energy consumption and comfort levels. Scenarios included amorphous silicon thin-film modules in three transmittance values modeled in existing windows. Research findings propose that photovoltaic glasses have the potential to balance the room’s lighting loads in a range between 15.1-and 20.3%. They improved occupant thermal and visual comfort by preventing overheating and glare risks. They also decreased cooling loads. Then, the study uses a genetic optimization algorithm to explore the optimum potential of the system in terms of annual energy consumption and daylight performance. Design variables are the window-to-wall ratio (i.e., window size and location) and amorphoussilicon thin-film solar cell transmittance to generate optimum Pareto-front solutions for the case building. Optimization objectives are minimizing annual thermal (i.e., heating and cooling) loads and maximizing Spatial Daylight Autonomy. Optimized results of Low-E semi-transparent amorphous-silicon photovoltaic modules applied on the window surface show that the Spatial Daylight Autonomy is increased to 82% with reduced glare risk and higher visual comfort for the occupants. Photovoltaic modules helped reduce the room's seasonal and annual lighting loads by up to 26.7%. Compared to non-optimized photovoltaic glass, they provide 23.2% more annual electrical energy.
Added Uniform Title:
Thesis (Master)--İzmir Institute of Technology:Architecture.

İzmir Institute of Technology:Architecture --Thesis (Master).
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