ramon ferreiro garcia - Academia.edu (original) (raw)
Uploads
Papers by ramon ferreiro garcia
JOURNAL OF ADVANCES IN PHYSICS
This article deals with the task of analysing a feasible reversible combined cycle composed of a ... more This article deals with the task of analysing a feasible reversible combined cycle composed of a heat pump as the primary cycle and a non-condensing mode thermal engine characterized by operating under a closed processes based cycle that work by adding and releasing heat, as the secondary cycle. Two case studies are analysed and compared. According to the results, the case study based on the combination of a heat pump cycle with an organic Rankine cycle, is the paradigm of a reversible 100% efficient combined cycle. The case study based on a heat pump cycle and a reversible heating-cooling based cycle is the paradigm of a super-efficient combined cycle that yields a 1.486 power ratio (PR) or 148.6% efficiency. Further, the case based on a heat pump cycle with a regenerative irreversible heating-cooling based cycle, is the paradigm of energy conversion and energy generation that yields a 1.29 PR or 129% efficiency assuming limited irreversibilities. This article deals with the task o...
IFAC Proceedings Volumes, 2000
This paper describes a simple and reliable method to acquire information instantaneously on the b... more This paper describes a simple and reliable method to acquire information instantaneously on the basis of predictive computations of data acquired with significant time delay. The estimated value of any measured variable is the output of a virtual sensor implemented by means of a virtual engineering programming tool.
Ingenieria Y Gestion De Mantenimiento Una Nueva Vision Del Mantenimiento, 2009
Montajes E Instalaciones Revista Tecnica Sobre La Construccion E Ingenieria De Las Instalaciones, 2004
Automatica E Instrumentacion, 2002
Energy Conversion and Management, 2016
En este trabajo se revisan los conceptos de control industrial referido a tareas de control típic... more En este trabajo se revisan los conceptos de control industrial referido a tareas de control típicamente afrontadas por medio de reguladores PID convencionales y que son susceptibles de ser resueltas mediante reguladores basados en reglas. Se proponen estrategias de compensación correctiva a partir de las acciones básicas de regulación mediante reglas difusas, así como la implementación de reguladores basados en reglas a partir del conocimiento adquirido acerca de los reguladores convencionales Palabras Clave: Lógica difusa Control difuso, Control basado en reglas, Control correctivo.
Se da inicialmente una breve explicacion del regulador PID y se describe el metodo de retroalimen... more Se da inicialmente una breve explicacion del regulador PID y se describe el metodo de retroalimentacion de rele, explicando sucintamente el de oscilacion sostenida por estar basado en el. A continuacion, se realiza el ajuste para una planta de proceso tipica en un caso en el que no seria aplicable el metodo de Ziegler-Nichols, con el objetivo de poner de manifiesto la utilidad de la tecnica
Advances in Intelligent and Soft Computing, 2011
Thermal efficiency monitoring allows us evaluating the performance of thermal engines which opera... more Thermal efficiency monitoring allows us evaluating the performance of thermal engines which operates under the Rankine cycle. In this research work, massive application of backpropagation neural networks (BPNN) is used with the aim of evaluating the thermal efficiency of processes operating under the Rankine cycle with various working fluids. Knowing the thermal efficiency behavior allows us estimating the best working
DYNA ENERGIA Y SOSTENIBILIDAD, 2012
Most of non-linear type one and type two control systems suffers from lack of detectability when ... more Most of non-linear type one and type two control systems suffers from lack of detectability when model based techniques are applied on FDI (fault detection and isolation) tasks. In general, all types of processes suffer from lack of detectability also due to the ambiguity to discriminate the process, sensors and actuators in order to isolate any given fault. This work
Lecture Notes in Computer Science, 2011
Most of process design tasks can be carried out by defining a sequence of steps into which action... more Most of process design tasks can be carried out by defining a sequence of steps into which actions under some conditions are to be performed. In this way the design of complex or combined thermodynamic cycles to be applied on industrial thermal plants match such a design patter for which hybrid intelligent techniques are being used. In this work a
Lecture Notes in Computer Science, 2010
Massive application of dynamic backpropagation neural networks is used on closed loop control FDI... more Massive application of dynamic backpropagation neural networks is used on closed loop control FDI (fault detection and isolation) tasks. The process dynamics is mapped by means of a trained backpropagation NN to be applied on residual generation. Process supervision is then applied to discriminate faults on process sensors, and process plant parameters. A rule based expert system is used to
Progress in Nuclear Energy, 2014
ABSTRACT When very high temperature reactors operate as power plants where helium is being consid... more ABSTRACT When very high temperature reactors operate as power plants where helium is being considered as cooling fluid for the primary loop, cost effective performance enhancement can be achieved under safety operating conditions by means of alternative thermal cycles to the conventional steam Rankine and combined cycles. The proposed improvements require the implementation of some Rankine cycle structures operating with carbon dioxide condensed at quasi-critical conditions combined with Rankine cycles coupled in series where carbon dioxide or water are used in order to achieve cooling capacity. Under this structure several cycles are proposed and studied so that according to the chosen performance criteria, a cycle structure is available. The results of the study show that plant structures composed by a high temperature topping Rankine cycle operating with carbon dioxide followed by a low temperature bottoming Rankine coupled in series allow the choice of a plant structure capable of advantageously rendering at least one of the following characteristics without violating safety standards: High net efficiency (from actual 48% to more than 56%) by sacrificing cooling capacity and specific power or high cooling capacity and specific power by sacrificing efficiency.
Expert Systems with Applications, 2013
Neural network based functional approximation techniques associated with rule based techniques ar... more Neural network based functional approximation techniques associated with rule based techniques are applied on the condition monitoring task of rotating machines equipped with hydrostatic self levitating bearings. Based on fluid online measured characteristic data, including pressures and temperature, the inherent hydraulic pumping system and the self levitating shaft is monitored and diagnosed applying vibration analysis carried out using virtual measurements. Required signals are achieved by conversion of measured data (fluid temperatures and pressures) into virtual data (vibration magnitudes) by means of neural network functional approximation techniques. Previous to the condition monitoring task (vibration analysis), a supervision task of the system behaviour is carried out in order to validate the information being processed. It is concluded that the vibration analysis based on the analysis of the dynamic behaviour of oil pressure (non accelerometer based signals) subjected to disturbances such as changes in oil operating conditions including viscosity, is successfully feasible.
Engineering Applications of Artificial Intelligence, 2014
Supervising thermal fluids transfer systems applied in solar parabolic through fields deals with ... more Supervising thermal fluids transfer systems applied in solar parabolic through fields deals with a typical non linear process which suffers from lack of detectability when analytic model based techniques are applied on fault detection, isolation and reconfiguration tasks. This work describes the implementation of a supervision strategy to be applied in thermal fluids transfer systems used on solar parabolic through based power plants for which massive neural networks based functional approximation techniques associated to recursive rule based techniques on the basis of parity equations has been applied. Experimental results carried out on a test rig show that diagnosis applied to the thermal fluid transfer problems can be carried out under acceptable determinism and reliability.
Montajes E Instalaciones Revista Tecnica Sobre La Construccion E Ingenieria De Las Instalaciones, 2002
JOURNAL OF ADVANCES IN PHYSICS
This article deals with the task of analysing a feasible reversible combined cycle composed of a ... more This article deals with the task of analysing a feasible reversible combined cycle composed of a heat pump as the primary cycle and a non-condensing mode thermal engine characterized by operating under a closed processes based cycle that work by adding and releasing heat, as the secondary cycle. Two case studies are analysed and compared. According to the results, the case study based on the combination of a heat pump cycle with an organic Rankine cycle, is the paradigm of a reversible 100% efficient combined cycle. The case study based on a heat pump cycle and a reversible heating-cooling based cycle is the paradigm of a super-efficient combined cycle that yields a 1.486 power ratio (PR) or 148.6% efficiency. Further, the case based on a heat pump cycle with a regenerative irreversible heating-cooling based cycle, is the paradigm of energy conversion and energy generation that yields a 1.29 PR or 129% efficiency assuming limited irreversibilities. This article deals with the task o...
IFAC Proceedings Volumes, 2000
This paper describes a simple and reliable method to acquire information instantaneously on the b... more This paper describes a simple and reliable method to acquire information instantaneously on the basis of predictive computations of data acquired with significant time delay. The estimated value of any measured variable is the output of a virtual sensor implemented by means of a virtual engineering programming tool.
Ingenieria Y Gestion De Mantenimiento Una Nueva Vision Del Mantenimiento, 2009
Montajes E Instalaciones Revista Tecnica Sobre La Construccion E Ingenieria De Las Instalaciones, 2004
Automatica E Instrumentacion, 2002
Energy Conversion and Management, 2016
En este trabajo se revisan los conceptos de control industrial referido a tareas de control típic... more En este trabajo se revisan los conceptos de control industrial referido a tareas de control típicamente afrontadas por medio de reguladores PID convencionales y que son susceptibles de ser resueltas mediante reguladores basados en reglas. Se proponen estrategias de compensación correctiva a partir de las acciones básicas de regulación mediante reglas difusas, así como la implementación de reguladores basados en reglas a partir del conocimiento adquirido acerca de los reguladores convencionales Palabras Clave: Lógica difusa Control difuso, Control basado en reglas, Control correctivo.
Se da inicialmente una breve explicacion del regulador PID y se describe el metodo de retroalimen... more Se da inicialmente una breve explicacion del regulador PID y se describe el metodo de retroalimentacion de rele, explicando sucintamente el de oscilacion sostenida por estar basado en el. A continuacion, se realiza el ajuste para una planta de proceso tipica en un caso en el que no seria aplicable el metodo de Ziegler-Nichols, con el objetivo de poner de manifiesto la utilidad de la tecnica
Advances in Intelligent and Soft Computing, 2011
Thermal efficiency monitoring allows us evaluating the performance of thermal engines which opera... more Thermal efficiency monitoring allows us evaluating the performance of thermal engines which operates under the Rankine cycle. In this research work, massive application of backpropagation neural networks (BPNN) is used with the aim of evaluating the thermal efficiency of processes operating under the Rankine cycle with various working fluids. Knowing the thermal efficiency behavior allows us estimating the best working
DYNA ENERGIA Y SOSTENIBILIDAD, 2012
Most of non-linear type one and type two control systems suffers from lack of detectability when ... more Most of non-linear type one and type two control systems suffers from lack of detectability when model based techniques are applied on FDI (fault detection and isolation) tasks. In general, all types of processes suffer from lack of detectability also due to the ambiguity to discriminate the process, sensors and actuators in order to isolate any given fault. This work
Lecture Notes in Computer Science, 2011
Most of process design tasks can be carried out by defining a sequence of steps into which action... more Most of process design tasks can be carried out by defining a sequence of steps into which actions under some conditions are to be performed. In this way the design of complex or combined thermodynamic cycles to be applied on industrial thermal plants match such a design patter for which hybrid intelligent techniques are being used. In this work a
Lecture Notes in Computer Science, 2010
Massive application of dynamic backpropagation neural networks is used on closed loop control FDI... more Massive application of dynamic backpropagation neural networks is used on closed loop control FDI (fault detection and isolation) tasks. The process dynamics is mapped by means of a trained backpropagation NN to be applied on residual generation. Process supervision is then applied to discriminate faults on process sensors, and process plant parameters. A rule based expert system is used to
Progress in Nuclear Energy, 2014
ABSTRACT When very high temperature reactors operate as power plants where helium is being consid... more ABSTRACT When very high temperature reactors operate as power plants where helium is being considered as cooling fluid for the primary loop, cost effective performance enhancement can be achieved under safety operating conditions by means of alternative thermal cycles to the conventional steam Rankine and combined cycles. The proposed improvements require the implementation of some Rankine cycle structures operating with carbon dioxide condensed at quasi-critical conditions combined with Rankine cycles coupled in series where carbon dioxide or water are used in order to achieve cooling capacity. Under this structure several cycles are proposed and studied so that according to the chosen performance criteria, a cycle structure is available. The results of the study show that plant structures composed by a high temperature topping Rankine cycle operating with carbon dioxide followed by a low temperature bottoming Rankine coupled in series allow the choice of a plant structure capable of advantageously rendering at least one of the following characteristics without violating safety standards: High net efficiency (from actual 48% to more than 56%) by sacrificing cooling capacity and specific power or high cooling capacity and specific power by sacrificing efficiency.
Expert Systems with Applications, 2013
Neural network based functional approximation techniques associated with rule based techniques ar... more Neural network based functional approximation techniques associated with rule based techniques are applied on the condition monitoring task of rotating machines equipped with hydrostatic self levitating bearings. Based on fluid online measured characteristic data, including pressures and temperature, the inherent hydraulic pumping system and the self levitating shaft is monitored and diagnosed applying vibration analysis carried out using virtual measurements. Required signals are achieved by conversion of measured data (fluid temperatures and pressures) into virtual data (vibration magnitudes) by means of neural network functional approximation techniques. Previous to the condition monitoring task (vibration analysis), a supervision task of the system behaviour is carried out in order to validate the information being processed. It is concluded that the vibration analysis based on the analysis of the dynamic behaviour of oil pressure (non accelerometer based signals) subjected to disturbances such as changes in oil operating conditions including viscosity, is successfully feasible.
Engineering Applications of Artificial Intelligence, 2014
Supervising thermal fluids transfer systems applied in solar parabolic through fields deals with ... more Supervising thermal fluids transfer systems applied in solar parabolic through fields deals with a typical non linear process which suffers from lack of detectability when analytic model based techniques are applied on fault detection, isolation and reconfiguration tasks. This work describes the implementation of a supervision strategy to be applied in thermal fluids transfer systems used on solar parabolic through based power plants for which massive neural networks based functional approximation techniques associated to recursive rule based techniques on the basis of parity equations has been applied. Experimental results carried out on a test rig show that diagnosis applied to the thermal fluid transfer problems can be carried out under acceptable determinism and reliability.
Montajes E Instalaciones Revista Tecnica Sobre La Construccion E Ingenieria De Las Instalaciones, 2002