Analysis of biogas compression system dynamics

Morini, Mirko; Pinelli, Michele; Venturini, Mauro

doi:10.1016/j.apenergy.2009.03.008

Cited by 25 publications

(4 citation statements)

References 49 publications

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“…For instance, one can refer to the neural network techniques used by Venturini [29,30] to explore the transient behavior of compressors. Similar studies were carried out by Venturini [31] and Morini et al [32,33] by using white-box methods. Nowak et al [34] also used two ANNs working in series to control the steam turbine start-up process.…”

Section: Literature Reviewsupporting

confidence: 64%

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Bahlawan

Morini

Pinelli

et al. 2018

Journal of Engineering for Gas Turbines and Power

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This paper documents the setup and validation of nonlinear autoregressive network with exogenous inputs (NARX) models of a heavy-duty single-shaft gas turbine (GT). The data used for model training are time series datasets of several different maneuvers taken experimentally on a GT General Electric PG 9351FA during the start-up procedure and refer to cold, warm, and hot start-up. The trained NARX models are used to predict other experimental datasets, and comparisons are made among the outputs of the models and the corresponding measured data. Therefore, this paper addresses the challenge of setting up robust and reliable NARX models, by means of a sound selection of training datasets and a sensitivity analysis on the number of neurons. Moreover, a new performance function for the training process is defined to weigh more the most rapid transients. The final aim of this paper is the setup of a powerful, easy-to-build and very accurate simulation tool, which can be used for both control logic tuning and GT diagnostics, characterized by good generalization capability.

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Section: Literature Reviewsupporting

confidence: 64%

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Bahlawan

Morini

Pinelli

et al. 2018

Journal of Engineering for Gas Turbines and Power

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, one can refer to neural network techniques employed by Venturini [37,38] to explore transient behavior of compressors. Similar efforts were carried out by Venturini [39] and Morini et al [40,41] by using white-box methods.…”

Section: Gt2014-25056mentioning

confidence: 83%

Modeling and Simulation of the Start-Up Operation of a Heavy-Duty Gas Turbine by Using NARX Models

Asgari

Chen

Sainudiin

et al. 2014

Volume 3A: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration

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In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine (General Electric PG 9351FA) located in Italy.The data used for model development are three time series data sets of two different maneuvers taken experimentally during the start-up procedure. The resulting NARX models are applied to three other experimental data sets and comparisons are made among four significant outputs of the models and the corresponding measured data.The results show that NARX models are capable of satisfactory prediction of the GT behavior and can capture system dynamics during start-up operation.

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“…As a combustible gas, the main components of biogas are CO, hydrogen (H 2 ), methane (CH 4 ), CO 2 and nitrogen (N 2 ). Proper and massive utilization of biogas can contribute not only to less environmental pollution caused by biomass and secondary pollution but also to reduced engine dependency on petroleum resources [5][6][7][8][9][10][11] . A biogas-diesel dual fuel engine can be easily refitted from a DI diesel engine.…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation on the cylinder pressure of a biogas-diesel dual fuel engine

Zhou¹,

Luo²

2016

Proceedings of the 2016 International Conference on Civil, Transportation and Environment

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Abstract. By substituting a considerable amount of diesel fuel in diesel engines, combustible biogas is considered to be a renewable and promising alternative gaseous fuel. In this paper, biogas was made from agricultural and forestry residues with a gasifier. Its high quality was ensured by the process of cooling to obtain high density and condensation and by filtering to remove water vapor and tar. The dual fuel engine that was refitted from a diesel engine was fueled with biogas as the main fuel and diesel as the pilot fuel. In order to compare the combustion characteristics of biogas-diesel dual fuel engine and diesel engine, the cylinder pressure of dual fuel engine and diesel engine under load characteristics at different speeds was measured, and the characteristic combustion parameters such as combustion start timing, the maximum combustion pressure and the corresponding phase at different load and speed were analyzed. Meanwhile, the influence of different fuel supply advance angle on engine combustion process was measured and studied. The results show that the start timing of combustion of dual fuel engine is later than that of diesel engine, and that the maximum combustion pressure and the maximum pressure rise rate are higher than those of diesel engine at low speed and high load, but lower in all other conditions. Post combustion is more significant and exhaust temperature is higher under the biogas-diesel dual fuel operation at most operating conditions except for low speed and high load. The peak cylinder pressures of engines increase as fuel injection timing advances.

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Analysis of biogas compression system dynamics

Cited by 25 publications

References 49 publications

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Modeling and Simulation of the Start-Up Operation of a Heavy-Duty Gas Turbine by Using NARX Models

An experimental investigation on the cylinder pressure of a biogas-diesel dual fuel engine

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