Published August 2011 | Version v1
Journal article

Modeling of a 1 MW cogenerative internal combustion engine for diagnostic scopes

  • 1. Department of Industrial Engineering, University of Perugia, Via G. Duranti 1/A4, Perugia 06125 (Italy)

Description

This paper contributes to the development of a thermo-dynamic model of the 1 MW cogenerative internal combustion engine (I.C.E.), including also an artificial neural network simulator of the electronic control module. Such a study is part of a more wide research activity, concerning the development of a diagnosis and monitoring system specifically for power plants. In particular, the engine model was realized to simulate the engine functioning also in the case of malfunctions and failures occurrence, taking in consideration the compensation effect operated by the regulation system. The complete model was tested in reference to several experimental conditions, in particular in a first phase relative to different values of the target electrical power and, subsequently, concerning the case of compressor fouling. Therefore it was validated both the thermo-dynamic model and the regulator operation in reference to the experimental data.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2011.02.021

Additional details

Identifiers

DOI
10.1016/j.apenergy.2011.02.021;
PII
S0306-2619(11)00120-6;

Publishing Information

Journal Title
Applied Energy
Journal Volume
88
Journal Issue
8
Journal Page Range
p. 2702-2712
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44113567
Subject category
S42: ENGINEERING; S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
COMPRESSORS; CONTROL SYSTEMS; EXPERIMENTAL DATA; FAILURES; FOULING; INTERNAL COMBUSTION ENGINES; MONITORING; NEURAL NETWORKS; POWER PLANTS; SIMULATION
Descriptors DEC
DATA; ENGINES; HEAT ENGINES; INFORMATION; NUMERICAL DATA

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.