Emilio Hernandez

Dr. Emilio Hernandez

Facultad de Ciencias de la Ingeniería y Tecnología de la Universidad Autónoma de Baja California
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Geothermics
Verified
Journal Article
Closed access
EHEmilio Hernandez
Emilio Hernandez
MCM.C. Patricia Avitia Carlos
M.C. Patricia Avitia Carlos
JSJosé Isaac Cisneros Solís
José Isaac Cisneros Solís
MAM.C. María del Carmen Prieto Avalos
M.C. María del Carmen Prieto Avalos

9 September 2019 in Sustainability
Verified
Journal Article
Open access
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FVFabián Vargas
Fabián Vargas
Armando PerezArmando Perez
Armando Perez
RDRene Delgado
Rene Delgado
EHEmilio Hernandez
Emilio Hernandez
JSJose Alejandro Suastegui
Jose Alejandro Suastegui
The present investigation analyzes the performance of a Hatz diesel engine that has 912 cubic centimeters (cc), stationary type, two cylinders, an air cooled feature and B10 (90% diesel and 10% palm biodiesel), using a test bench to improve statistically the repeatability and reproducibility of the runs. The experimental reference tests were carried out under defined conditions at a fixed speed of 1800 revolutions per minute (rpm) and four load levels: 35%, 50%, 65% and 80%. The repeatability analysis was based on the technical standard NTC-ISO / IEC17025. The variables of torque, fuel consumption (FC), air consumption (AC) and exhaust gas temperatures (EGT) showed an increase related with the load increase, showing a lower variation of AC and emissions. With the mechanism’s implementation of attenuator of air blows, adjustment mechanism for rpm and preheating air chamber for intake manifold, it was observed that the rpm presented the lowest statistical variability. The variables that presented the highest Pearson correlation with respect to the FC are the CO2, NOX and O2, this is because the engine does not have the Common Rail system, which causes the fuel supply to not be injected accurately and uniformly, therefore the evaluation of performance of the engine could not be repeatable.

1 January 2014 in Energy Procedia
Verified
Journal Article
Open access
EHEmilio Hernandez
Emilio Hernandez
GMGisela Montero
Gisela Montero
ALAlejandro Lambertb
Alejandro Lambertb
HCHéctor E. Campbell
Héctor E. Campbell
The present work consists of the study of the influence that the relative humidity has in the simulation of the monthly billing during the period of summer in houses and buildings of warm climates, using as tool a developed thermal simulator in Excel where monthly relative humidity hourly averages throughout all the summer are used while, another simulator (SIMTER-C) developed in Visual Basic uses a polynomial monthly hour relative humidity function throughout all the summer, this function was obtained from hour humidity historical registries relative of Mexicali Baja California from 1997 to 2012

1 December 2019 in Data in Brief
Verified
Journal Article
Open access
EHEmilio Hernandez
Emilio Hernandez
PCPatricia Avitia Carlos
Patricia Avitia Carlos
JSJosé Isaac Cisneros Solís
José Isaac Cisneros Solís
MAMaría del Carmen Prieto Avalos
María del Carmen Prieto Avalos
The data presented below is the thermodynamic simulation and mathematical model development for the single and double flash cycles of Cerro Prieto geothermal power plants. For more insight into analysis thermodynamic, please see "thermodynamic simulation and mathematical model for single and double flash cycles of Cerro Prieto geothermal power plants" [1]. The datasets contained in this paper are thermodynamic simulations obtained in Aspen Hysys software, the data described represents the net power output and thermal efficiency for Cerro Prieto geothermal power plants, located in Mexicali, México. A single flash and double flash cycle have been selected for power generation at this facility. The single flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), Separator pressure (kPa), Condenser pressure (kPa), Turbine's power (kW), Phase Fraction, Mass Flow (kg/h), Energy input (kW) and Energy output (kW). Whereas the double flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), High-pressure separator (kPa), Low-pressure separator (kPa), Condenser pressure (kPa), Turbine's power (kW), Phase Fraction, Mass Flow (kg/h), Energy Input (kW) and Energy output (kW).