Modeling of a 1 MW cogenerative internal combustion engine for diagnostic scopes
Creators
- 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.2011.02.021Additional 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.