Eventos Anais de eventos
ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
ENERGETIC AND EXERGETIC ANÁLISYS SOFTWARE IN PYTHON: DEVELOPMENT, VALIDATION AND APPLICATION
Submission Author:
Guilherme de Almeida Ponce , MS , Brazil
Co-Authors:
Guilherme de Almeida Ponce, Ramon Eduardo Pereira Silva
Presenter: Guilherme de Almeida Ponce
doi://10.26678/ABCM.ENCIT2022.CIT22-0322
Abstract
The Thermoelectric and Cogeneration Plants subject works on the relationship between the various thermal machines used as primary drivers for thermoelectric generation and their relationship with the thermal energy supplied and / or used in order to identify, quantify and locate the irreversibilities inherent to these processes for the purpose to promote increasing in overall efficiency. This paper aims to describe the development (including the thermodynamic theoretical background), validation and the results of the application of a energetic and exergetic assessment software on a 12 kVA engine driven generator. The program provides graphic interface and was developed using SQLite in Python open source language. The input parameters are the brake power, the fuel and air mass flow rates and the exhaust gases data obtained from a flue gas analyzer. The exhaust pipe gases data are collected in molar dry basis and then converted to molar wet basis and finally in mass fractions in order to compute the enthalpy and entropy contribution of each specimen. Thermomechanical and chemical exergy were then stated. Thus both first and second Law of the Thermodynamics can be performed. The fuel composition and Lower Heating Value (LHV) is also set then the chemical exergy of the fuel is computed. The energy and exergy of the entraining ai ris neglected due its proximity to the dead state conditions. Output results are shown both numerically and in figures. The program was validated according the existing literature, the results obtained in tha program were the same of that already published. Ultimately the code was used on the laboratory test rig for the assessment of the results of a engine driven generator set. The rig instrumentation is assembled by the following devices: the mass fuel flow rate was collected in a mass basis via a electronic scale and a stopwatch and the air mass fuel flow rate was measured via a Pitot probe anemometer, the delivered electric power was measured by a wattmeter, exhaust gases data was collected via a Greeline 8000 flue gas analyzer.
Keywords
Programming, Python 3, Exergy Analysis, Energy Analysis
