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1Catergorization of electrode-level signal from Utah arrays implanted in premotor and primary motor cortices: a case studyCatergorization of electrode-level signal from Utah arrays implanted in premotor and primary motor cortices: a case studyXiao, YicongThe Utah Electrode Array ( is widely used to record neural signals from motor related cortical areas, but differences in electrode location and implantation depth may alter the recorded neural signals, introducing motor functional heterogeneity within the UEA This study analyzed neural signals recor...Utah electrode array; precentral gyrus; brain computer interface; neural firing patterns; neural signal analysis
2Electromagnetic Uncertainty analysis of 3D biological phantomsElectromagnetic Uncertainty analysis of 3D biological phantomsPedgaonkar, ApoorvaCellphone or wireless device EM radiation assessment is one of the most important design criteria.FDTD; monte Carlo methods; uncertainty; electromagnetic scattering2022
3Identification of main predictors of collapse capacity on steel buildings using several sensitivity analysis techniquesIdentification of main predictors of collapse capacity on steel buildings using several sensitivity analysis techniquesGaire, PrakashThe authors are grateful to Dr. Stephen Brown from Aprovechar Lab L3C for his valuable feedback on the implementation of ML methodologies. The investigation is based upon work supported under a U.S. National Science Foundation grant. Any opinions, findings, conclusions or recommendations expressed i...seismic collapse prediction; feature importance; machine learning
4Finite element design optimization of hyaluronic acid-based hydrogel drug delivery device for improved retentionFinite element design optimization of hyaluronic acid-based hydrogel drug delivery device for improved retentionColter, Jourdan; Wirostko, Barbara; Coats, BrittanyDrug-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
5QES-Winds v1.0: Theory and User's GuideQES-Winds v1.0: Theory and User's GuideBozorgmehr, BehnamA 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
6Final Report Geothermal Battery Energy StorageFinal Report Geothermal Battery Energy StorageMcLennan, JohnSolar and wind power are being introduced into electric grids to supplement and replace conventional electricity production. The deployment of utility-scale storage has not kept pace to overcome the intermittent nature of solar and to a lesser extent wind. Large-scale energy storage is cur...2020-06
7Large-scale subsurface seasonal heat storage for future valueLarge-scale subsurface seasonal heat storage for future valueMcLennan, JohnI too extend my welcome. And, I extend thanks to the NSF for the support of this research at the Univ. of Utah. The concept of storing heat in the ground is certainly not new. Many, many cases have investigated heat to be stored underground. Getting the heat underground is somewhat of a problem, but...2020-05-19
8Geothermal Battery Surface Facilities Economics and Finance as an O&G playGeothermal Battery Surface Facilities Economics and Finance as an O&G playMcLennan, John
9Reservoirs for Geothermal Battery Energy Report: a geological perspectiveReservoirs for Geothermal Battery Energy Report: a geological perspectiveAllis, RickWorkshop presentation2020-05-18
10Modified CPD Model for Coal Devolatilization at UCTT ConditionsModified CPD Model for Coal Devolatilization at UCTT ConditionsEddings, EricTo study coal pyrolysis behavior at underground coal thermal treatment (UCTT) conditions, a modified CPD (M-CPD) model was developed and evaluated using two scales of experiments as well as two different coals, Utah Sufco and Illinois #6. Compared with the original CPD model, three major aspects wer...Coal; pyrolysis; modeling; underground heating2019
11Joint NSF-NSFC Workshop on Combustion Related to Sustainable EnergyJoint NSF-NSFC Workshop on Combustion Related to Sustainable EnergyEddings, Eric G.A workshop on Combustion Related to Sustainable Energy was held in Hangzhou, China on March 10-12, 2014. The workshop was jointly sponsored by the U.S. National Science Foundation (NSF) and by the National Science Foundation of China (NSFC). The purpose of the workshop was to bring together a limite...Combustion, sustainable energy, research needs, climate change, renewable fuel, efficiency, Workshop China2016
12Experimental and numerical investigation on sulfur transformation in T pressurized oxy-fuel combustion of pulverized coalExperimental and numerical investigation on sulfur transformation in T pressurized oxy-fuel combustion of pulverized coalEddings, Eric G.Pressurized oxy-fuel combustion, as a novel and promising technology for CO2 capture from power plants, has attracted worldwide attentions. The high partial pressure of CO2 induces significant changes to the SOx release characteristic. Properly addressing these fundamental issues and technological c...Pressurized; Oxy-fuel combustion; SO2 emission; Numerical; Pulverized coal2019
13Using Observed Data During Early Design To Simulate Building Mechanical System Energy PerformanceUsing Observed Data During Early Design To Simulate Building Mechanical System Energy PerformanceLegorburu, GabrielEnergy Modeling; Real-World Data; Neural Networks2019
14A Busy Professor's Guide to Sanely Flipping Your ClassroomA Busy Professor's Guide to Sanely Flipping Your ClassroomZiegenfuss, DonnaThe Flipped Classroom has become a popular teaching method. Students watch video lectures before class, saving class time for active learning (problem solving, demonstrations, applications, etc.). This paper is a useful guide for busy professors who would like to try out the flipped classroom approa...flipped classroom; inverted classroom; engineering education; teaching electromagnetics; assessment pedagogy2019
15Effect of material properties on a subdermal UHF RFID antennaEffect of material properties on a subdermal UHF RFID antennaChrysler, AndrewThis paper explores a subdermal RFID antenna at 918 MHz. The antenna, made from ink encapsulated in thin sheets of biocompatible PET, is designed to be implanted in the fat layer just below the skin, with the muscle acting as a lossy ground plane. The antenna is a patch that uses a T-slot for matchi...Implantable Antennas; Subdermal antennas; Tattoo Antennas; Radio Frequency Identification (RFID); Conductivity2018
16Improving water heaters for sustainabilityImproving water heaters for sustainabilityMalinowski, NicholasBuildings 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
17Coupling of building and vegetation resolving urban microclimate model with a building energy simulation programCoupling of building and vegetation resolving urban microclimate model with a building energy simulation programBianchi, CarloThe 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
18Energy modeling framework for optimizing heat recovery in a seasonal food processing facilityEnergy modeling framework for optimizing heat recovery in a seasonal food processing facilityLegorburu, GabrielSocietal, 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
19Linking microclimate and energy use with a low cost wall mounted measurement systemLinking microclimate and energy use with a low cost wall mounted measurement systemDidier, Richard C.Urban 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
20Deep recurrent neural networks for building energy predictionDeep recurrent neural networks for building energy predictionRahman, AowabinThis 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
21Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithmsPredicting heating demand and sizing a stratified thermal storage tank using deep learning algorithmsRahman, AowabinThis 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
22Modeling two-phase flow and vapor cycles using the generalized fluid system simulation programModeling two-phase flow and vapor cycles using the generalized fluid system simulation programSmith, Amanda D.This 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
23Thermoeconomic analysis of residential rooftop photovoltaic systems with integrated energy storage and resulting impacts on electrical distribution networksThermoeconomic analysis of residential rooftop photovoltaic systems with integrated energy storage and resulting impacts on electrical distribution networksTran, Thomas T.D.This 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
24System scaling approach and thermoeconomic analysis of a pressure retarded osmosis system for power production with hypersaline draw solution: A Great Salt Lake studySystem scaling approach and thermoeconomic analysis of a pressure retarded osmosis system for power production with hypersaline draw solution: A Great Salt Lake studyTran, Thomas T. D.Osmotic 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
25Predicting fuel consumption for commercial building with machine learning algorithmsPredicting fuel consumption for commercial building with machine learning algorithmsRahman, AowabinThis 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
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