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Results for “building engineers”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Waste derived polysulphide coating on fly ash as fillers in plastic composite
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Typical academic building energy model development and energy saving evaluation using occupant-based control
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Mechanical performance assessment of sustainable coal plastic composite building materials
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Heat exposure mitigation in renovated nearly zero-energy dwellings during concurrent heat waves and power outages
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Design optimization of an assisted living facility to improve summer thermal comfort in warming climates
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Temporal Evaluation of ASR Cracking in Concrete Specimens Using Acoustic Emission
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Characterization of Ultrahigh-Performance Concrete Materials for Application in Modular Construction
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Behavior of Nuclear RC Shear Walls Designed for Similar Lateral Strengths Using Normal-Strength versus High-Strength Materials
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Spontaneous Collapse Mechanism of World Trade Center Twin Towers and Progressive Collapse in General
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Effect of Carbon Nanofibers on the Hydration of Ultrahigh-Performance Concrete: Experimental Study and Model Development
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Probabilistic Sea Level Rise Hazard Analysis Based on the Current Generation of Data and Protocols
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Effects of stretch and radiation on the laminar burning velocity of R-32/air flames
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Influential variables impacting the reliability of building occupancy sensor systems: A systematic review and expert survey
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Diverse occupancy simulation and presence sensing viability for residential thermal energy regulation: Review and false positive modeling initial findings
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A cosine-based correlation information entropy approach for building automatic fault detection baseline construction
Building automatic fault detection and diagnosis (AFDD) technologies have shown great potential for energy savings. To enable AFDD, a baseline depicting the normal operation mode is needed to detect whether the building operation deviates from normality. Existing research using physics-based knowledge and models for AFDD has mainly taken a trial-and-error approach to determine if a given baseline is sufficient via empirical experiments. A mechanism to support decisions such as how many samples and what samples should be included in the baseline is currently lacking. In this study, a data-driven method for AFDD baseline construction based on information entropy is developed. The entropy is derived based on cosine similarity among typical building automation system measurements in conjunction with outdoor weather information. The performance of the proposed method is evaluated using real building data. Evaluation results indicate that the fault detection strategy adopting the proposed method has similar or better accuracy in detecting faults compared to the same fault detection strategy using the baseline construction method from the literature. Additionally, the use of entropy enables the proposed method to automatically construct and assess the baseline consisting of information-rich samples.
Sensitivity analysis of sensor placement in energy-efficient, grid-interactive ready small office buildings with dynamic shading and lighting control
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Effects of body positions and garment design on the performance of a personal air cooling/heating system
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