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Journal articles on the topic 'Control systems/gas networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Parkinson, J. S., and R. J. Wynne. "Systems Modelling and Control Applied to a Low-Pressure Gas Distribution Network." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 206, no. 1 (1992): 35–44. http://dx.doi.org/10.1243/pime_proc_1992_206_196_02.

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A control system has been designed and implemented to provide more effective energy management of low-pressure gas distribution networks. The key to this is the provision of a control scheme that maintains low pressures across a network. The work was approached from first principles and a modelling technique has been developed which provides reduced order models that adequately describe the characteristics of multi-feed gas networks. The models were then used for the control system design, which in this case also included the selection of the optimal measurement points for most effective contr

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2

Moetamedzadeh, Hamid Reza, Esmaeel Khanmirza, Ali Pourfard, and Reza Madoliat. "Intelligent nonlinear model predictive control of gas pipeline networks." Transactions of the Institute of Measurement and Control 41, no. 16 (2019): 4569–89. http://dx.doi.org/10.1177/0142331219864190.

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In gas pipeline networks, the set-points should be carefully tuned to minimize the fuel consumption of compressor stations and meet the network requirements. In practice, the real demand has some variations over the forecasted one and consequently utilizing an appropriate controller to minimize the fuel consumption and manage the network variations is inevitable. The model predictive control is a great choice for systems with long delay such as gas networks. In this paper, an intelligent nonlinear model predictive control of a gas pipeline plant is proposed. It models the plant in fully transi

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3

Osiadacz, Andrzej J., and Maciej Chaczykowski. "Dynamic Control for Gas Pipeline Systems." Archives of Mining Sciences 61, no. 1 (2016): 69–82. http://dx.doi.org/10.1515/amsc-2016-0006.

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Abstract An algorithm for optimal control of a gas network with any configuration based upon hierarchical control and decomposition of the network is described. Local problems are solved using a gradient technique. The subsystems are coordinated using „good coordination” method to find the overall optimum. Discrete state equation for the case in which output pressures are treated as elements of the control vector has been formulated. Results of investigations are included.

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Kambhampati, C., C. Perkgoz, R. J. Patton, and W. Ahamed. "An interaction predictive approach to fault-tolerant control in network control systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 6 (2007): 885–94. http://dx.doi.org/10.1243/09596518jsce377.

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This paper illustrates some of the capabilities of previously proposed network control system (NCS) architectures to carry on functioning in the event of faults, without recourse to system reconfiguration. The principle of interaction prediction is used to set up a coordination strategy that encapsulates an ability to withstand or tolerate certain faults, thereby allowing the system to continue functioning. It is also shown that the coordination strategy can be made more effective if a learning agent is allowed to learn the coordination functions. This facilitates the use of different types of

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Javarone, Marco Alberto. "Fermionic networks." International Journal of Modern Physics C 27, no. 02 (2015): 1650021. http://dx.doi.org/10.1142/s0129183116500212.

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We study the structure of fermionic networks, i.e. a model of networks based on the behavior of fermionic gases, and we analyze dynamical processes over them. In this model, particle dynamics have been mapped to the domain of networks, hence a parameter representing the temperature controls the evolution of the system. In doing so, it is possible to generate adaptive networks, i.e. networks whose structure varies over time. As shown in previous works, networks generated by quantum statistics can undergo critical phenomena as phase transitions and, moreover, they can be considered as thermodyna

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6

Marqués, Dardo, and Manfred Morari. "On-line optimization of gas pipeline networks." Automatica 24, no. 4 (1988): 455–69. http://dx.doi.org/10.1016/0005-1098(88)90091-x.

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Ferrigno, L., R. Morello, V. Paciello, and A. Pietrosanto. "Remote Metering in Public Networks." Metrology and Measurement Systems 20, no. 4 (2013): 705–14. http://dx.doi.org/10.2478/mms-2013-0061.

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Abstract New research trends in energy grids and water networks push toward ICT solutions for allowing remote metering of consumption. In the paper, after an introduction to the European Standards on smart metering, two visual sensors thought to solve typical metering problems in water public networks are described. Particular detail is given hardware and software solutions and the perspective of integration with analog gas and electric energy metering devices.

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8

Chun, Yangha. "Analysis of Cyber Threats in the Connection Section of the Control System and Countermeasures Required." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 412–17. http://dx.doi.org/10.17762/turcomat.v12i6.1831.

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In the past, the general practice for the control system network that manages and controls industrial facilities such as electric power, gas, oil, water, chemicals, automobiles, etc. was to install and operate this as an independent system, but over time the practice has gradually shifted toward the use of an open and standardized system. Until recently, most industrial control systems consisted of an independent network, and the possibility of cyber threat infringement was very low. As information storage media such as laptops or USB are connected to the control system for maintenance or mana

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9

Machón-González, Iván, and Hilario López-García. "Feedforward Nonlinear Control Using Neural Gas Network." Complexity 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3125073.

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Nonlinear systems control is a main issue in control theory. Many developed applications suffer from a mathematical foundation not as general as the theory of linear systems. This paper proposes a control strategy of nonlinear systems with unknown dynamics by means of a set of local linear models obtained by a supervised neural gas network. The proposed approach takes advantage of the neural gas feature by which the algorithm yields a very robust clustering procedure. The direct model of the plant constitutes a piece-wise linear approximation of the nonlinear system and each neuron represents

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10

Rao, Nandan, Shubhra Srivastava, and Sreekanth K.S. "PKI Deployment Challenges and Recommendations for ICS Networks." International Journal of Information Security and Privacy 11, no. 2 (2017): 38–48. http://dx.doi.org/10.4018/ijisp.2017040104.

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Different types of Control Systems used for Industrial production are broadly called Industrial Control Systems (ICS) (n.d.). These include Supervisory Control and Data Acquisition (SCADA) Systems and Distributed Control Systems (DCS). ICS typically perform the “Command and Control” operations required for smooth functioning of machines in industrial production. They are widely used in Critical infrastructures such as power generation and distribution systems, Oil and Gas plants, Chemical factories and various other manufacturing facilities. Traditionally, ICS used proprietary protocols and op

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11

Osiadacz, A. J., and D. J. Bell. "A simplified algorithm for optimization of large-scale gas networks." Optimal Control Applications and Methods 7, no. 1 (1986): 95–104. http://dx.doi.org/10.1002/oca.4660070107.

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12

Nazir, Sajid, Shushma Patel, and Dilip Patel. "Autoencoder Based Anomaly Detection for SCADA Networks." International Journal of Artificial Intelligence and Machine Learning 11, no. 2 (2021): 83–99. http://dx.doi.org/10.4018/ijaiml.20210701.oa6.

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Supervisory control and data acquisition (SCADA) systems are industrial control systems that are used to monitor critical infrastructures such as airports, transport, health, and public services of national importance. These are cyber physical systems, which are increasingly integrated with networks and internet of things devices. However, this results in a larger attack surface for cyber threats, making it important to identify and thwart cyber-attacks by detecting anomalous network traffic patterns. Compared to other techniques, as well as detecting known attack patterns, machine learning ca

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13

Wang, Chao, Bailing Wang, Yunxiao Sun, et al. "Intrusion Detection for Industrial Control Systems Based on Open Set Artificial Neural Network." Security and Communication Networks 2021 (August 18, 2021): 1–14. http://dx.doi.org/10.1155/2021/4027900.

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The security of industrial control systems (ICSs) has received a lot of attention in recent years. ICSs were once closed networks. But with the development of IT technologies, ICSs have become connected to the Internet, increasing the potential of cyberattacks. Because ICSs are so tightly linked to human lives, any harm to them could have disastrous implications. As a technique of providing protection, many intrusion detection system (IDS) studies have been conducted. However, because of the complicated network environment and rising means of attack, it is difficult to cover all attack classes

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14

Khaytbaev, A. E., and A. M. Eshmuradov. "APPLICATIONS OF NEURAL NETWORK TECHNOLOGIES IN WIRELESS SENSOR NETWORKS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 195 (September 2020): 46–51. http://dx.doi.org/10.14489/vkit.2020.09.pp.046-051.

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The purpose of the article is to study the possibilities of improving the efficiency of the sensory network management technique, using the neural network method. The presented model of the wireless sensor network takes into account the charging of the environment. The article also tests the hypothesis of the possibility of organizing distributed computing in wireless sensor networks. To achieve this goal, a number of tasks are allocated: review and analysis of existing methods for managing BSS nodes; definition of simulation model components and their properties of neural networks and their f

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Khaytbaev, A. E., and A. M. Eshmuradov. "APPLICATIONS OF NEURAL NETWORK TECHNOLOGIES IN WIRELESS SENSOR NETWORKS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 195 (September 2020): 46–51. http://dx.doi.org/10.14489/vkit.2020.09.pp.046-051.

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The purpose of the article is to study the possibilities of improving the efficiency of the sensory network management technique, using the neural network method. The presented model of the wireless sensor network takes into account the charging of the environment. The article also tests the hypothesis of the possibility of organizing distributed computing in wireless sensor networks. To achieve this goal, a number of tasks are allocated: review and analysis of existing methods for managing BSS nodes; definition of simulation model components and their properties of neural networks and their f

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16

Palau, A., E. Velo, and L. Puigjaner. "Use of neural networks and expert systems to control a gas/solid sorption chilling machine." International Journal of Refrigeration 22, no. 1 (1999): 59–66. http://dx.doi.org/10.1016/s0140-7007(97)00046-7.

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17

Gnezdilova, Olga, Galina Shedrina, and Vasily Amelin. "Modeling of Natural Gas Transportation and Distribution in Low Pressure Gas Pipelines." Applied Mechanics and Materials 725-726 (January 2015): 1307–12. http://dx.doi.org/10.4028/www.scientific.net/amm.725-726.1307.

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It is known that the area of the implementation of automated systems for remote control of the technological processes of gas transportation and distribution, as well as its commercial metering and consumption is set for the settlements with population exceeding 100 thousand people. It has a centralized structure, including the lower level − controlled stations, and the upper level − central dispatcher board, which is implemented in the form of automation-equipped workstations connected using computer networks.

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18

Wiid, A. J., J. D. le Roux, and I. K. Craig. "Modelling of methane-rich gas pipeline networks for simulation and control." Journal of Process Control 92 (August 2020): 234–45. http://dx.doi.org/10.1016/j.jprocont.2020.06.010.

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19

OSIADACZ, ANDRZEJ J., and KRZYSZTOF PIENKOSZ. "Methods of steady-state simulation for gas networks." International Journal of Systems Science 19, no. 7 (1988): 1311–21. http://dx.doi.org/10.1080/00207728808547163.

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20

ZUO, Ran, and XiuXiu SUN. "Study on gas reaction path in GaN HVPE." SCIENTIA SINICA Technologica 49, no. 9 (2019): 1100–1106. http://dx.doi.org/10.1360/sst-2019-0008.

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21

Rüdiger, Jens. "Enhancements of the numerical simulation algorithm for natural gas networks based on node potential analysis." IFAC-PapersOnLine 53, no. 2 (2020): 13119–24. http://dx.doi.org/10.1016/j.ifacol.2020.12.2282.

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22

SUN, QiuYe, XiaoTing YU, Rui WANG, and DaZhong MA. "Research on stability control strategy of electricity-gas coupling network based on dynamic model of natural gas network." SCIENTIA SINICA Technologica 49, no. 4 (2018): 479–90. http://dx.doi.org/10.1360/n092018-00122.

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23

Gnezhdilova, Olga, Anna Malysheva, Anna Gagulina, and Aleksandr Ovsienko. "The concept of reliability-oriented accounting of leaks in gas supply systems." E3S Web of Conferences 97 (2019): 03021. http://dx.doi.org/10.1051/e3sconf/20199703021.

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The concept of reliability-oriented maintenance of gas distribution networks is substantiated. Performed an analytical review of works of leading scientists in the field of the theory of gas supply of individual household. It has been established that the question of control and to prevent gas leaks remains relevant now. It is proved, that for engineering systems use gas for domestic purposes, also the greatest risk are low-intensity gas leaks, that hardly controlled by hardware due to accounting errors. An algorithm is presented for vulnerability assessment elements engineering gas supply sys

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24

Banda, Mapundi K., and Michael Herty. "Towards a space mapping approach to dynamic compressor optimization of gas networks." Optimal Control Applications and Methods 32, no. 3 (2010): 253–69. http://dx.doi.org/10.1002/oca.929.

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25

WU, KeLiu, XiangFang LI, and ZhangXin CHEN. "Real gas transport through nanopores of shale gas reservoirs." SCIENTIA SINICA Technologica 46, no. 1 (2016): 68–78. http://dx.doi.org/10.1360/n092015-00076.

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26

Gugat, Martin, and Michaël Herty. "Existence of classical solutions and feedback stabilization for the flow in gas networks." ESAIM: Control, Optimisation and Calculus of Variations 17, no. 1 (2009): 28–51. http://dx.doi.org/10.1051/cocv/2009035.

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27

Babchuk, S. M. "CLASSIFICATION OF WIRELESS SPECIALIZED COMPUTER NETWORKS FOR THE OBJECTS LOCATION MONITORING." METHODS AND DEVICES OF QUALITY CONTROL, no. 1(42) (June 27, 2019): 70–76. http://dx.doi.org/10.31471/1993-9981-2019-1(42)-70-76.

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At present, it is possible to achieve the desired level of management of any enterprise only if there is complete and up-to-date source information about the current state of affairs in this enterprise. Growing size of an enterprise complicates the collection of necessary information and its processing. The speed and completeness of data collection is also influenced by many other factors associated with the specifics of specific enterprises. In particular, oil and gas companies have a large number of objects located at large distances from each other (including in remote and hard-toreach area

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28

Schoendienst, Thilo, and Vinod M. Vokkarane. "Reducing Greenhouse Gas Emissions With Power Source-Aware Multidomain Multilayer Networks." IEEE Systems Journal 11, no. 2 (2017): 673–83. http://dx.doi.org/10.1109/jsyst.2015.2448599.

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29

Furey, B. P. "A sequential quadratic programming-based algorithm for optimization of gas networks." Automatica 29, no. 6 (1993): 1439–50. http://dx.doi.org/10.1016/0005-1098(93)90008-h.

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30

Dodd, N., and J. Martin. "Using neural networks to optimise gas turbine aero engines." Computing & Control Engineering Journal 8, no. 3 (1997): 129–35. http://dx.doi.org/10.1049/cce:19970305.

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31

Sagdatullin, A. M. "Improving the energy efficiency of oil production using identification and prediction of operating modes of production wells based on data analysis methods, machine learning and neural networks." E3S Web of Conferences 124 (2019): 05031. http://dx.doi.org/10.1051/e3sconf/201912405031.

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Currently, there is a need to improve the systems and control of pumping equipment in the oil and gas production and oil and gas transport industries. Therefore, an adaptive neural network control system for an electric drive of a production well was developed. The task of expanding the functional capabilities of asynchronous electric motors control of the oil and gas production system using the methods of neural networks is solved. We have developed software modules of the well drive control system based on the neural network, an identification system, and a scheme to adapt the control proces

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PARK, BYOUNG-JUN, WITOLD PEDRYCZ, and SUNG-KWUN OH. "SIMPLIFIED FUZZY INFERENCE RULE-BASED GENETICALLY OPTIMIZED HYBRID FUZZY NEURAL NETWORKS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16, no. 02 (2008): 245–74. http://dx.doi.org/10.1142/s0218488508005169.

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In this study, we introduce an advanced architecture of genetically optimized Hybrid Fuzzy Neural Networks (gHFNN) and develop a comprehensive design methodology supporting their construction. A series of numeric experiments is included to illustrate the performance of the networks. The construction of gHFNN exploits fundamental technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms (GAs). The architecture of the gHFNNs results from a synergistic usage of the genetic optimization-driven hybrid system generated by combining Fuzzy Neural Netwo

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ZHANG, Hong, and Ran ZUO. "Effect of radicals on gas phase reactions in GaN MOVPE process." SCIENTIA SINICA Technologica 49, no. 8 (2019): 939–46. http://dx.doi.org/10.1360/n092018-00394.

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34

van der Heijde, Annelies Vandermeulen, Salenbien, and Helsen. "Integrated Optimal Design and Control of Fourth Generation District Heating Networks with Thermal Energy Storage." Energies 12, no. 14 (2019): 2766. http://dx.doi.org/10.3390/en12142766.

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In the quest to increase the share of renewable and residual energy sources in our energy system, and to reduce its greenhouse gas emissions, district heating networks and seasonal thermal energy storage have the potential to play a key role. Different studies prove the techno-economic potential of these technologies but, due to the added complexity, it is challenging to design and control such systems. This paper describes an integrated optimal design and control algorithm, which is applied to the design of a district heating network with solar thermal collectors, seasonal thermal energy stor

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35

Hu, Xiao-Bing, and Mark S. Leeson. "Evolutionary Computation with Spatial Receding Horizon Control to Minimize Network Coding Resources." Scientific World Journal 2014 (2014): 1–23. http://dx.doi.org/10.1155/2014/268152.

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The minimization of network coding resources, such as coding nodes and links, is a challenging task, not only because it is a NP-hard problem, but also because the problem scale is huge; for example, networks in real world may have thousands or even millions of nodes and links. Genetic algorithms (GAs) have a good potential of resolving NP-hard problems like the network coding problem (NCP), but as a population-based algorithm, serious scalability and applicability problems are often confronted when GAs are applied to large- or huge-scale systems. Inspired by the temporal receding horizon cont

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36

Barbasova, T. A. "A MULTILEVEL RESOURCE-SAVING BLAST FURNACE PROCESS CONTROL." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 1 (2021): 136–46. http://dx.doi.org/10.14529/ctcr210112.

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A multilevel resource-saving blast furnace process control is considered. The resource-saving control is provided for operating, adaptation, technical and economic control in the automated systems of blast-furnace processes. It is proposed to form optimal operation modes of blast furnace heating, metal charge structures, natural gas and oxygen consumption. Decisions are made using Kohonen neural networks taking into account current and planned parameters of coke quality, iron ore, raw materials and blast. At the level of operating control, the work suggests a model predictive control to improv

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37

Zhou, Hang, Jason McGinty, and Ajith K. Parlikad. "Failure Prediction of Auxiliary Lube Oil Pump in Gas Turbines: Applying Monte Carlo Neural Networks to an Unbalanced Dataset." IFAC-PapersOnLine 53, no. 3 (2020): 131–36. http://dx.doi.org/10.1016/j.ifacol.2020.11.021.

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38

OSIADACZ, ANDRZEJ J. "Numerical analysis of a method of transient simulation for gas networks." International Journal of Systems Science 21, no. 5 (1990): 961–75. http://dx.doi.org/10.1080/00207729008910424.

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39

Shaharun, Azwan. "Integrated modelling of entire production network and topsides facilities for production optimisation of major oil and gas fields." APPEA Journal 53, no. 2 (2013): 474. http://dx.doi.org/10.1071/aj12085.

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An oil company sought to identify bottlenecks in three of their main oil and gas production networks. It was desired to, therefore, develop the entire production network from wells, flowlines, intra-field and inter-field pipelines, and export pipelines up to the onshore terminal first stage separator/slug catcher, all in the transient multi-phase-flow oil and gas (OLGA) simulator. Furthermore, the detailed topsides facilities were separately modelled in a process simulator. The OLGA and process simulator models were subsequently integrated, where the flow simulator model received boundary pres

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40

Chen, Qian, Robert K. Abercrombie, and Frederick T. Sheldon. "Risk Assessment For Industrial Control Systems Quantifying Availability Using Mean Failure Cost (MFC)." Journal of Artificial Intelligence and Soft Computing Research 5, no. 3 (2015): 205–20. http://dx.doi.org/10.1515/jaiscr-2015-0029.

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Abstract 1 Industrial Control Systems (ICS) are commonly used in industries such as oil and natural gas, transportation, electric, water and wastewater, chemical, pharmaceutical, pulp and paper, food and beverage, as well as discrete manufacturing (e.g., automotive, aerospace, and durable goods.) SCADA systems are generally used to control dispersed assets using centralized data acquisition and supervisory control. Originally, ICS implementations were susceptible primarily to local threats because most of their components were located in physically secure areas (i.e., ICS components were not c

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Fernø, M. A., J. Gauteplass, M. Pancharoen, et al. "Experimental Study of Foam Generation, Sweep Efficiency, and Flow in a Fracture Network." SPE Journal 21, no. 04 (2016): 1140–50. http://dx.doi.org/10.2118/170840-pa.

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Summary Foam generation for gas mobility reduction in porous media is a well-known method and frequently used in field applications. Application of foam in fractured reservoirs has hitherto not been widely implemented, mainly because foam generation and transport in fractured systems are not clearly understood. In this laboratory work, we experimentally evaluate foam generation in a network of fractures within fractured carbonate slabs. Foam is consistently generated by snap-off in the rough-walled, calcite fracture network during surfactant-alternating-gas (SAG) injection and coinjection of g

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Bezrodny, Alexey А., Renat R. Yunushev, and Anatoly М. Korolyonok. "System analysis and efficient structure formation for gas station nets." SCIENCE & TECHNOLOGIES OIL AND OIL PRODUCTS PIPELINE TRANSPORTATION 10, no. 1 (2020): 96–105. http://dx.doi.org/10.28999/2541-9595-2020-10-1-96-105.

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Gas station nets as a type of petroleum supply systems are necessary to provide working and development of the stations themselves since alone objects of the type are often commercially inefficient. For their improvement, it is purposeful by means of the set-theoretic approach known to create and to apply the models of information, organization-technical, decision-making, control and non-active (infra-) systems. The models said would describe the networks operation and development at conditions of friendly, competitive and indifferent surroundings. In the article, structure models of the syste

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Cięszczyk, Sławomir. "A Multi-Band Integrated Virtual Calibration-Inversion Method for Open Path FTIR Spectrometry." Metrology and Measurement Systems 20, no. 2 (2013): 287–98. http://dx.doi.org/10.2478/mms-2013-0025.

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Abstract This paper addresses problems arising from in situ measurement of gas content and temperature. Such measurements can be considered indirect. Transmittance or natural radiation of a gas is measured directly. The latter method (spectral radiation measurement) is often called spectral remote sensing. Its primary uses are in astronomy and in the measurement of atmospheric composition. In industrial processes, in situ spectroscopic measurements in the plant are often made with an open path Fourier Transform Infrared (FTIR) spectrometer. The main difficulty in this approach is related to th

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44

Ahmed, Ahmed, Mathias Kleiner, and Lionel Roucoules. "Model-Based Interoperability IoT Hub for the Supervision of Smart Gas Distribution Networks." IEEE Systems Journal 13, no. 2 (2019): 1526–33. http://dx.doi.org/10.1109/jsyst.2018.2851663.

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Sundar, Kaarthik, and Anatoly Zlotnik. "State and Parameter Estimation for Natural Gas Pipeline Networks Using Transient State Data." IEEE Transactions on Control Systems Technology 27, no. 5 (2019): 2110–24. http://dx.doi.org/10.1109/tcst.2018.2851507.

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Lalik, Krzysztof, Mateusz Kozek, Szymon Podlasek, Rafał Figaj, and Paweł Gut. "Q-Learning Neural Controller for Steam Generator Station in Micro Cogeneration Systems." Energies 14, no. 17 (2021): 5334. http://dx.doi.org/10.3390/en14175334.

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This article presents the results of the optimization of steam generator control systems powered by mixtures of liquid fuels containing biofuels. The numerical model was based on the results of experimental research of steam generator operation in an open system. The numerical model is used to build control algorithms that improve performance, increase efficiency, reduce fuel consumption and increase safety in the full range of operation of the steam generator and the cogeneration system of which it is a component. In this research, the following parameters were monitored: temperature and pres

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Ma, Lei, Liang Cheng, and Manchun Li. "Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems." Journal of Loss Prevention in the Process Industries 26, no. 6 (2013): 1183–92. http://dx.doi.org/10.1016/j.jlp.2013.05.001.

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48

Asgari, Hamid, Xiao Qi Chen, Mohammad Bagher Menhaj, and Raazesh Sainudiin. "ANN-Based System Identification, Modelling and Control of Gas Turbines – A Review." Advanced Materials Research 622-623 (December 2012): 611–17. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.611.

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Gas Turbines (GTs) are the beating heart of nearly all industrial plants and specifically play a vital role in oil and power industries. Significant research activities have been carried out to discover accurate dynamics and to approach to the optimal operational point of these systems. A variety of analytical and experimental system identification methods, models and control systems has been investigated so far for gas turbines. Artificial neural network (ANN) has been recognized as one of the successful approaches that can disclose nonlinear behaviour of such complicated systems. This paper

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Sundin, Heidi, David Brown, James Wakefield, and Janet Ranganathan. "Management Control Systems in a Non-Enterprise Network: The Greenhouse Gas Protocol Initiative." Australian Accounting Review 19, no. 2 (2009): 93–102. http://dx.doi.org/10.1111/j.1835-2561.2009.00048.x.

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Ilyushin, Pavel, Aleksandr Kulikov, Konstantin Suslov, and Sergey Filippov. "Consideration of Distinguishing Design Features of Gas-Turbine and Gas-Reciprocating Units in Design of Emergency Control Systems." Machines 9, no. 3 (2021): 47. http://dx.doi.org/10.3390/machines9030047.

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Abstract:

Modern gas-turbine units (GTUs) and gas-reciprocating units (GRUs) have found a wide use at power plants, including distributed generation facilities, running on gaseous fuel. The design features of these generating units have a considerable effect on the nature and parameters of transient processes due to emergency disturbances in the adjacent network. The study shows that single-shaft gas-turbine and gas-reciprocating units do not allow even short-term considerable frequency drops. These schemes and operating conditions arise due to emergency active power shortages when the connection betwee

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