Energy Analysis Tools

2020 ◽  
pp. 81-98
Author(s):  
Moncef Krarti
Keyword(s):  
Energy Analysis ◽  
Analysis Tools

A Comparison of Detailed and Simple Building Energy Analysis Tools for Eco–Friendly Office Building Design

2012 ◽  
Vol 178-181 ◽  
pp. 3-6
Author(s):  
Sang Tae No ◽  
Jae Yeob Kim
Keyword(s):  
Energy Analysis ◽  
Peak Load ◽  
Building Design ◽  
Building Energy ◽  
Primary Energy ◽  
Office Building ◽  
System Capacity ◽  
Heating And Cooling ◽  
Analysis Tools ◽  
Building Energy Analysis

The main objective of this study is to present low energy building and design process using building energy analysis tools, designing a practical office building. EnergyPlus and ECO2 were selected as primary and second tools. The peak heating and cooling load of the designed office building were simulated by EnergyPlus. And the peak load values were applied to ECO2 as HVAC and plant system's capacity. The second objective of this study is to investigate the tendency of simulation results by ECO2 using various input parameters, because ECO2 is a newly proposed energy rating tool for office building by KICT. The passive and active parameters were selected, such as U-factor, shading, orientation, system capacity, and so on. The primary energy usages were calculated by ECO2 and the results and their tendency were analyzed.

Energy Analysis Tools

2018 ◽  
pp. 87-100
Author(s):  
MISSING-VALUE MISSING-VALUE
Keyword(s):  
Energy Analysis ◽  
Analysis Tools

A General Method for Spectrometer Design in the Scoff Approximation

1976 ◽  
Vol 34 ◽  
pp. 538-539
Author(s):  
J. R. Fields
Keyword(s):  
Electron Microscope ◽  
Transmission Electron Microscope ◽  
Energy Analysis ◽  
Incident Beam ◽  
Scanning Transmission Electron Microscope ◽  
Chemical Identification ◽  
Scanning Transmission Electron ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
General Method

The energy analysis of electrons scattered by a specimen in a scanning transmission electron microscope can improve contrast as well as aid in chemical identification. In so far as energy analysis is useful, one would like to be able to design a spectrometer which is tailored to his particular needs. In our own case, we require a spectrometer which will accept a parallel incident beam and which will focus the electrons in both the median and perpendicular planes. In addition, since we intend to follow the spectrometer by a detector array rather than a single energy selecting slit, we need as great a dispersion as possible. Therefore, we would like to follow our spectrometer by a magnifying lens. Consequently, the line along which electrons of varying energy are dispersed must be normal to the direction of the central ray at the spectrometer exit.

EXELFS Studies of Carbon Fibers

1990 ◽  
Vol 48 (2) ◽  
pp. 72-73
Author(s):  
V. Serin ◽  
K. Hssein ◽  
G. Zanchi ◽  
J. Sévely
Keyword(s):  
Carbon Fibers ◽  
Energy Analysis ◽  
Electron Excitation ◽  
Complex Structures ◽  
High Modulus ◽  
Promising Technique ◽  
X Ray ◽  
Fine Structures ◽  
X Ray Absorption

The present developments of electron energy analysis in the microscopes by E.E.L.S. allow an accurate recording of the spectra and of their different complex structures associated with the inner shell electron excitation by the incident electrons (1). Among these structures, the Extended Energy Loss Fine Structures (EXELFS) are of particular interest. They are equivalent to the well known EXAFS oscillations in X-ray absorption spectroscopy. Due to the EELS characteristic, the Fourier analysis of EXELFS oscillations appears as a promising technique for the characterization of composite materials, the major constituents of which are low Z elements. Using EXELFS, we have developed a microstructural study of carbon fibers. This analysis concerns the carbon K edge, which appears in the spectra at 285 eV. The purpose of the paper is to compare the local short range order, determined by this way in the case of Courtauld HTS and P100 ex-polyacrylonitrile carbon fibers, which are high tensile strength (HTS) and high modulus (HM) fibers respectively.

Finding decision support requirements for effective intelligence analysis tools

2005 ◽  
Author(s):  
William Elm ◽  
Scott Potter ◽  
James Tittle ◽  
David Woods ◽  
Justin Grossman ◽  
...  
Keyword(s):  
Decision Support ◽  
Intelligence Analysis ◽  
Analysis Tools

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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