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ItemLandscape Architecture; Urbanism and Art(Georgia Institute of Technology, 2014-11-19) Schwartz, Martha
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ItemMovement?(Georgia Institute of Technology, 2014-11-12) Mandrup, Dorte
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ItemInsights and Experiences from Inspirational Women Breaking Barriers in Architecture - NOMA Panel Discussion(Georgia Institute of Technology, 2014-10-23) Griffin, Dina ; Harris, Stephanie ; Perkins-Hooker, Patrise ; Love-Stanley, Ivenue ; Washington, RobertaFour distinguished women will reflect on the changing leadership roles of women within architecture, construction, transportation and development. Addressing the challenges and opportunities women face in positions of authority and revealing their lessons learned as well as much more.
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ItemClassical Architecture: The Cutting Edge(Georgia Institute of Technology, 2014-10-22) Greenberg, Allan
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ItemAGency(Georgia Institute of Technology, 2014-10-15) Prince-Ramus, Joshua
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ItemAfter Curfew(Georgia Institute of Technology, 2014-10-08) Newell, Cathlyn
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ItemCooperation(Georgia Institute of Technology, 2014-09-10) Simmons, Marc"Cooperation" is a talk about Front, Inc.'s work, including projects like the SNFCC Cultural Center in Athens, Greece. Front is a design and façade consulting practice made up of cross-disciplinary, creative individuals with professional backgrounds in architecture, structural engineering, and mechanical engineering. Established in New York City in 2002, the firm has since grown to a staff of nearly thirty people with offices in San Francisco, Seattle, and Hong Kong.
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ItemThermo-hygroscopic envelope to support alternative cooling systems: speculative feasibility study in a small office building(Georgia Institute of Technology, 2014-09-02) Marshall, Marionyt TyroneThe thesis explores the technical feasibility of an alternative method of decoupling air-conditioning systems function within the context of ecological issues. The system is a variant of dedicated outdoor air systems to separate dehumidification and cooling in air conditioning equipment. The project specifically investigates locating these components within the building envelope. Placement in the envelope moves the systems closer to fresh air and offers architectural expression for components that are normally out of sight. Designers, engineers, building science, mechanical, structural, biologist, and architectural engineers ideally as agents offer beneficial improvement to the system. The reduction in size of components into the building envelope offers risk. The thesis design space uses historical works, biological analogues, and past work to ground the technical understanding of the topic. Specific use of biological inspired design realizes translation from other systems to improve the alternative decoupled air conditioning system. The thesis develops prototype models for lighting analysis and for sensible and latent heat calculations. Psychrometric charts serve as tools to understand the thermodynamic air-conditioning process in conventional direct expansion vapor compression and solar liquid desiccant air conditioning systems. Data, models, and sketches provide tools for improvements to the 'thick' building envelope. Finally, the diagrams translate into functional decompositions for modifications to improve the system. The thesis probes the constraints in the areas of cost, fabrication, and technology that may not yet exist for selective improvement rather than a barrier to development of the thesis.
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ItemResilient cities: an analysis of resilient urban form(Georgia Institute of Technology, 2014-08-27) Aguilar, Johnny R.This thesis studies the theories, scientific evidence and spatial relationships within urban form to determine means and deviations that developments can use to determine the resiliency of urban form within a given location. Resiliency within urban form functions as modulations around a morphological mean. Rather than replicate the mean, resilient cities modulate with low standard deviations around the mean. As a result, while many look aesthetically different, resilient cities are structurally more similar than dissimilar. Cities can use this information to inform their projects on a schematic design level to determine if they are improving their urban form or if they are deviating from the resilient mean.
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ItemClosing the building energy performance gap by improving our predictions(Georgia Institute of Technology, 2014-06-30) Sun, YumingIncreasing studies imply that predicted energy performance of buildings significantly deviates from actual measured energy use. This so-called "performance gap" may undermine one's confidence in energy-efficient buildings, and thereby the role of building energy efficiency in the national carbon reduction plan. Closing the performance gap becomes a daunting challenge for the involved professions, stimulating them to reflect on how to investigate and better understand the size, origins, and extent of the gap. The energy performance gap underlines the lack of prediction capability of current building energy models. Specifically, existing predictions are predominantly deterministic, providing point estimation over the future quantity or event of interest. It, thus, largely ignores the error and noise inherent in an uncertain future of building energy consumption. To overcome this, the thesis turns to a thriving area in engineering statistics that focuses on computation-based uncertainty quantification. The work provides theories and models that enable probabilistic prediction over future energy consumption, forming the basis of risk assessment in decision-making. Uncertainties that affect the wide variety of interacting systems in buildings are organized into five scales (meteorology - urban - building - systems - occupants). At each level both model form and input parameter uncertainty are characterized with probability, involving statistical modeling and parameter distributional analysis. The quantification of uncertainty at different system scales is accomplished using the network of collaborators established through an NSF-funded research project. The bottom-up uncertainty quantification approach, which deals with meta uncertainty, is fundamental for generic application of uncertainty analysis across different types of buildings, under different urban climate conditions, and in different usage scenarios. Probabilistic predictions are evaluated by two criteria: coverage and sharpness. The goal of probabilistic prediction is to maximize the sharpness of the predictive distributions subject to the coverage of the realized values. The method is evaluated on a set of buildings on the Georgia Tech campus. The energy consumption of each building is monitored in most cases by a collection of hourly sub-metered consumption data. This research shows that a good match of probabilistic predictions and the real building energy consumption in operation is achievable. Results from the six case buildings show that using the best point estimations of the probabilistic predictions reduces the mean absolute error (MAE) from 44% to 15% and the root mean squared error (RMSE) from 49% to 18% in total annual cooling energy consumption. As for monthly cooling energy consumption, the MAE decreases from 44% to 21% and the RMSE decreases from 53% to 28%. More importantly, the entire probability distributions are statistically verified at annual level of building energy predictions. Based on uncertainty and sensitivity analysis applied to these buildings, the thesis concludes that the proposed method significantly reduces the magnitude and effectively infers the origins of the building energy performance gap.