UScholar Works
 
Filters: Department: "Mechanical Engineering" Collection: "ir_uspace" Year Start: 2016
1 - 25 of 18
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CreatorTitleDescriptionSubjectDate
1 Bianchi, CarloCoupling of building and vegetation resolving urban microclimate model with a building energy simulation programThe objective of this work is to develop and validate a coupled fast-running Building Energy Modeling/Microclimate model for use in developing site-specific design strategies which minimize energy and water use All the micro-climate variables affecting the building energy consumption, such as solar ...Building energy modeling; Urban; Microclimate; Simulation; Energy; Environment2018-08
2 Rahman, AowabinDeep recurrent neural networks for building energy predictionThis poster illustrates the development of a deep recurrent neural network (RNN) model using long-short-term memory (LSTM) cells to predict energy consumption in buildings at one-hour time resolution over medium-to-long term time horizons ( greater than or equal to 1 week).Machine learning; Energy; Building energy modeling; Deep learning; Recurrent neural networks; Prediction2017-01-13
3 Bianchi, CarloEnergy demands for commercial buildings with climate variability based on emission scenariosThe impacts of a changing climate are wide-ranging in both impact and scope. This paper investigates the effect that realistic climate variability would have on building energy demands in Salt Lake City, UT to inform planning for air quality impacts. Energy demand scenarios were derived using climat...BEM; EnergyPlus; Emissions; Climate; Energy2017
4 Legorburu, GabrielEnergy modeling framework for optimizing heat recovery in a seasonal food processing facilitySocietal, cultural and economic factors are driving food processors to reduce energy consumed per unit mass of food. This presents a unique problem because time variant batch processing using low to medium grade heat is common in food production facilities. Heat recovery methods may be implemented b...Energy efficiency; Food industry; Heat recovery; Optimization; Simulation2018-07-20
5 Thomas, Tran T. D.Evaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sectorEnergy demands, environmental impacts of energy conversion, and the depletion of fossil; fuels are constant topics of discussion in the energy industry. Renewable energy technologies; have been proposed for many years to address these concerns. However, the transformation; from traditional methods o...Renewable energy; Power generation; Electrical grid; Emerging energy systems; System integration2017-07
6 Colter, Jourdan; Wirostko, Barbara; Coats, BrittanyFinite element design optimization of hyaluronic acid-based hydrogel drug delivery device for improved retentionDrug-loaded hydrogel devices are emerging as an effective means of localized and sustained drug delivery for the treatment of corneal conditions and injuries. One such device uses a novel, thiolated crosslinked carboxymethylated, hyaluronic acid-based hydrogel (CMHA-S) film to deliver drug to the oc...Ocular drug delivery; CMHA-S; antibiotics; ophthalmology; computation2018
7 Malinowski, NicholasImproving water heaters for sustainabilityBuildings use about 40% of the total U.S. energy demand. Water heaters provide hot water for a variety of building uses including sinks, showers, dishwashers, washing machines, and space heating. Water heaters are the second most energy intensive appliances in a common household. Typically a home...Water heaters; Energy efficiency; Electricity; Emissions; Natural gas2018
8 Tran, Thomas T.D.Incorporating performance-based global sensitivity and uncertainty analysis into LCOE calculations for emerging renewable energy technologiesAssessing system costs for power generation is essential for evaluating the economical aspect of energy resources. This paper examines traditional and renewable energy resources under uncertainty and variability of input variables. The levelized cost of electricity (LCOE) of each technology is compu...Renewable energy technologies; LCOE levelized cost of electricity2018-02-14
9 Didier, Richard C.Linking microclimate and energy use with a low cost wall mounted measurement systemUrban microclimate plays a critical role in overall urban energy demand and efficiency. At the building scale, energy use and internal conditions are directly impacted by local microclimate. The direct link between building energy use and local microclimate is through building envelope heat fluxes. ...Microclimate; Energy; Temperature; Humidity; Arduino; EnergyPlus2016-06
10 Smith, Amanda D.Modeling two-phase flow and vapor cycles using the generalized fluid system simulation programThis work presents three new applications for the general purpose fluid network solver code GFSSP developed at NASA's Marshall Space Flight Center: (1) cooling tower, (2) vapor-compression refrigeration system, and (3) vapor-expansion power generation system. These systems are widely used across eng...Modeling; Fluid systems; Cooling tower; Vapor compression refrigeration, vapor power cycle2017-09
11 Smith, Amanda D.Performance modeling and parametric study of a stratified water thermal storage tankThermal energy storage (TES) can significantly increase the overall effciency and operational flexibility of adistributed generation system. A sensible water storage tank is an attractive option for integration in building energy systems, due to its low cost and high heat capacity. As such, this pap...2016-02-13
12 Rahman, AowabinPredicting electricity consumption for commercial and residential buildings using deep recurrent neural networksThis paper presents a recurrent neural network model to make medium-to-long term predictions, i.e. time horizon of ≥ 1 week, of electricity consumption profiles in commercial and residential buildings at one-hour resolution. Residential and commercial buildings are responsible for a significant fr...Building Energy Modeling; Machine learning; Recurrent neural networks; Deep learning; Electric load prediction2017
13 Rahman, AowabinPredicting fuel consumption for commercial building with machine learning algorithmsThis paper presents a modeling framework that uses machine learning algorithms to make longterm, i.e. one year-ahead predictions, of fuel consumption in multiple types of commercial prototype buildings at one-hour resolutions. Weather and schedule variables were used as model inputs, and the hourly ...Building energy modeling; Machine learning; Prediction; Heating load; Data-driven modeling2017-08
14 Rahman, AowabinPredicting heating demand and sizing a stratified thermal storage tank using deep learning algorithmsThis paper evaluates the performance of deep recurrent neural networks in predicting heating demand for a commercial building over a medium-to-long term time horizon (≥ 1 week), and proposes a modeling framework to demonstrate how these longer-term predictions can be used to aid design of a strati...Building Energy Modeling; Machine Learning; Recurrent Neural Networks; Deep Learning; Heating Load Prediction; Thermal Energy Storage2018
15 Bozorgmehr, BehnamQES-Winds v1.0: Theory and User's GuideA new dispersion modeling system based on the well-used FORTRAN-based QUIC (Quick Urban and Industrial Complex) dispersion modeling system originally developed by the University of Utah and Los Alamos National Laboratory [1], has been under development as collaboration between the University of Utah...2021
16 Tran, Thomas T. D.System scaling approach and thermoeconomic analysis of a pressure retarded osmosis system for power production with hypersaline draw solution: A Great Salt Lake studyOsmotic power with pressure retarded osmosis (PRO) is an emerging renewable energy option for locations where fresh water and salt water mix. Energy can be recovered from the salinity gradient between the solutions. This study provides a comprehensive feasibility analysis for a PRO power plant in a ...Pressure retarded osmosis; Power generation; Renewable energy; Hydroelectric; Levelized cost2017-06
17 Tran, Thomas T.D.Thermoeconomic analysis of residential rooftop photovoltaic systems with integrated energy storage and resulting impacts on electrical distribution networksThis paper investigates residential rooftop photovoltaic (PV) systems for long-term thermoeconomic benefits from PV homeowners' perspectives and for impacts on the electrical distribution network from grid operators' perspectives. The costs of generating electricity from grid-connected PV systems ar...Rooftop PV; Net Metering; Distribution Network; Energy storage; LCOE2018-07-07
18 Legorburu, GabrielUsing Observed Data During Early Design To Simulate Building Mechanical System Energy PerformanceEnergy Modeling; Real-World Data; Neural Networks2019
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