This page has only limited features, please log in for full access.

Prof. Alfredo Gimelli
Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, Naples, Italy

Basic Info


Research Keywords & Expertise

0 Combined heat and power systems
0 Organic Rankine cycles
0 Engine base calibration
0 Polygeneration plants
0 Optimization procedures

Fingerprints

Combined heat and power systems
1D thermo-fluid dynamic modeling and analysis of two- and four-stroke internal combustion engines
Polygeneration plants
Engine base calibration
Pyrogasification
Concentrated solar power plants

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 25 December 2020 in Processes
Reads 0
Downloads 0

This paper addresses the study of a pyro-gasification plant designed, built, and operated to recover inert metals from different types of solid waste. Experimental tests were carried out using pulper as the solid waste. However, while a reliable composition analysis of the produced syngas was carried out, a precise composition evaluation of the pulper used during the experimental activities was not performed and the related data were characterized by unacceptable uncertainty. Therefore, with the aim of reliably characterizing the plant operation, a thermochemical model of the gasification process was setup to simulate the equilibrium operation of the plant and a vector optimization methodology was used to calibrate the numerical model. Then, a decision-making problem was solved to identify the most suitable optimal solution between those belonging to the Pareto optimal front, thus obtaining reliable composition data for the adopted pulper waste. In particular, four different identification criteria were applied for the selection of small subset of solutions over the 3138 dominant solutions found. Among them, the solution (i.e., set of calibration parameters) that minimizes the experimental-numerical difference between the lower heating value of the produced syngas seemed to provide the most reliable approximation of the real plant operation. Finally, a possible plant configuration is proposed for the energetic valorization of the pulper waste and its overall conversion process efficiency is estimated.

ACS Style

Alfredo Gimelli; Massimiliano Muccillo; Raniero Sannino; Giacobbe Braccio; Vincenzo Capone; Giacinto Cornacchia; Matteo Manganiello; Carmine Mongiello; Vinod Kumar Sharma. Experimental and Numerical Analysis of a Low Environmental Impact Pyro-Gasification System for the Energetic Valorization of Waste through a Biomass Steam Power Plant. Processes 2020, 9, 35 .

AMA Style

Alfredo Gimelli, Massimiliano Muccillo, Raniero Sannino, Giacobbe Braccio, Vincenzo Capone, Giacinto Cornacchia, Matteo Manganiello, Carmine Mongiello, Vinod Kumar Sharma. Experimental and Numerical Analysis of a Low Environmental Impact Pyro-Gasification System for the Energetic Valorization of Waste through a Biomass Steam Power Plant. Processes. 2020; 9 (1):35.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo; Raniero Sannino; Giacobbe Braccio; Vincenzo Capone; Giacinto Cornacchia; Matteo Manganiello; Carmine Mongiello; Vinod Kumar Sharma. 2020. "Experimental and Numerical Analysis of a Low Environmental Impact Pyro-Gasification System for the Energetic Valorization of Waste through a Biomass Steam Power Plant." Processes 9, no. 1: 35.

Conference paper
Published: 22 October 2020 in E3S Web of Conferences
Reads 0
Downloads 0

This work addresses the early stage calibration of a Formula SAE engine 1-D fluid dynamic model starting from limited experimental data. The availability of an engine model since the early stages of the development of a new Formula SAE vehicle allows to carry out preliminary analyses or ECU calibration. A few experimental tests have been executed at wide open throttle and variable engine speed. Then, a 1D thermo-fluid dynamic engine model has been developed starting from the geometry data of the engine. A vector optimization problem has been then solved to calibrate the engine model. In particular, the error minimization between numerical and experimental values of the torque in different engine operating conditions has been set as objective of the optimization process. Finally, starting from the results of the proposed calibration methodology, a decision-making criterion allowed the identification of a single optimal solution within the Pareto optimal front together with the related values for the set of calibration parameters. The results highlight how the proposed calibration procedure could be usefully adopted to set an early stage engine model which could be properly adopted to preliminarily detect the effects of geometric changes or control parameters variations on the main engine performance.

ACS Style

Francesco Ammendola; Giovanni Giardiello; Alfredo Gimelli; Massimiliano Muccillo; Davide Riccio; Francesco Tufano; Giuseppe Zeppa. Early Stage Calibration of a Formula SAE Engine 1-D Fluid Dynamic Model with Limited Experimental Data. E3S Web of Conferences 2020, 197, 06014 .

AMA Style

Francesco Ammendola, Giovanni Giardiello, Alfredo Gimelli, Massimiliano Muccillo, Davide Riccio, Francesco Tufano, Giuseppe Zeppa. Early Stage Calibration of a Formula SAE Engine 1-D Fluid Dynamic Model with Limited Experimental Data. E3S Web of Conferences. 2020; 197 ():06014.

Chicago/Turabian Style

Francesco Ammendola; Giovanni Giardiello; Alfredo Gimelli; Massimiliano Muccillo; Davide Riccio; Francesco Tufano; Giuseppe Zeppa. 2020. "Early Stage Calibration of a Formula SAE Engine 1-D Fluid Dynamic Model with Limited Experimental Data." E3S Web of Conferences 197, no. : 06014.

Journal article
Published: 03 June 2019 in Energy
Reads 0
Downloads 0

The exploitation of renewable energy sources and the use of primary energy saving techniques have been recognized as key solutions to face climate changes. Theconsequent energy policies are pushing the transition from a centralized power generation system to a distributed polygeneration system able to meet simultaneous heating, cooling and electricity demand. However, small scale polygeneration plants do not ensure any primary energy and cost saving without a proper sizing and operation of the plant. Furthermore, a flexible configuration of the waste heat recovery system (WHRS) adopted for polygeneration purposes can be equally important. Therefore, starting from the experimental data concerning a 15 kW micro-CHP plant previously designed and prototyped, the paper addresses the performance assessment of a CHCP plant configuration based on the same basic engine-electric generator system through the 1D thermo-fluid dynamic characterization of an alternative double water circuit WHRS. This configuration, delivering thermal power at different temperature level, could be useful to meet thermal and cooling demand from different user or when seasonal energy demand occurs. This paper also provides an effective approach for the design of WHRS which are capable to ensure a reasonable matching between the temperature level required by the user and that provided by the plant. In this way, being the energy saving dependent on the thermal power recovered and actually exploited, and so on the temperature level which characterizes the user's heat demand, primary energy savings are more easily achievable even when small scalepolygeneration applications are considered. Results shows the possibility of supplying an absorption chiller and obtaining a coolling capacity of about 10.5 kW from the resulting CHCP plant configuration.

ACS Style

A. Gimelli; M. Muccillo. Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system. Energy 2019, 181, 803 -814.

AMA Style

A. Gimelli, M. Muccillo. Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system. Energy. 2019; 181 ():803-814.

Chicago/Turabian Style

A. Gimelli; M. Muccillo. 2019. "Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system." Energy 181, no. : 803-814.

Journal article
Published: 06 February 2019 in Fuel
Reads 0
Downloads 0

Over the last decades, internal combustion engines have undergone a continuous evolution to achieve better performance, lower pollutant emissions and reduced fuel consumption. This evolution involved changes in the engine architecture needed to perform advanced management strategies. Therefore, Variable Valve Actuation, Exhaust Gas Recirculation, Gasoline Direct Injection, turbocharging and powertrain hybridization have widely equipped modern internal combustion engines. However, the effective management of a such complex system is due to the contemporaneous development of the on-board Engine electronic Control Unit. In fact, the additional degrees of freedom available for the engine regulation highly increased the complexity of engine control and management, resulting in a very expensive and long calibration process. For this reason, this study proposes an effective methodology based on the use of Neural Networks to overcome some critical issues concerning the calibration of engine control parameters. NN are adopted to provide a detailed engine data sheet starting from a reduced number of experimental data. To verify the potential of the proposed methodology, this detailed data set is subsequently used as input to a specific Computer Aided Calibration algorithm developed by the authors and the achievable calibration performance are evaluated. In particular, the calibration performance was assessed with reference to a specific ECU function in this paper. The research clearly demonstrates the effectiveness of the proposed approach since the calibration performance falls within acceptable limits even after a 60% cut of the experimental data usually acquired for calibration purposes, highlighting how the use of neural networks can allow a significant reduction of the experimental effort along with its related times and costs.

ACS Style

Francesco de Nola; Giovanni Giardiello; Alfredo Gimelli; Andrea Molteni; Massimiliano Muccillo; Roberto Picariello. Volumetric efficiency estimation based on neural networks to reduce the experimental effort in engine base calibration. Fuel 2019, 244, 31 -39.

AMA Style

Francesco de Nola, Giovanni Giardiello, Alfredo Gimelli, Andrea Molteni, Massimiliano Muccillo, Roberto Picariello. Volumetric efficiency estimation based on neural networks to reduce the experimental effort in engine base calibration. Fuel. 2019; 244 ():31-39.

Chicago/Turabian Style

Francesco de Nola; Giovanni Giardiello; Alfredo Gimelli; Andrea Molteni; Massimiliano Muccillo; Roberto Picariello. 2019. "Volumetric efficiency estimation based on neural networks to reduce the experimental effort in engine base calibration." Fuel 244, no. : 31-39.

Journal article
Published: 02 April 2018 in Energies
Reads 0
Downloads 0

In recent decades, growing concerns about global warming and climate change effects have led to specific directives, especially in Europe, promoting the use of primary energy-saving techniques and renewable energy systems. The increasingly stringent requirements for carbon dioxide reduction have led to a more widespread adoption of distributed energy systems. In particular, besides renewable energy systems for power generation, one of the most effective techniques used to face the energy-saving challenges has been the adoption of polygeneration plants for combined heating, cooling, and electricity generation. This technique offers the possibility to achieve a considerable enhancement in energy and cost savings as well as a simultaneous reduction of greenhouse gas emissions. However, the use of small-scale polygeneration systems does not ensure the achievement of mandatory, but sometimes conflicting, aims without the proper sizing and operation of the plant. This paper is focused on a methodology based on vector optimization algorithms and developed by the authors for the identification of optimal polygeneration plant solutions. To this aim, a specific calculation algorithm for the study of cogeneration systems has also been developed. This paper provides, after a detailed description of the proposed methodology, some specific applications to the study of combined heat and power (CHP) and organic Rankine cycle (ORC) plants, thus highlighting the potential of the proposed techniques and the main results achieved.

ACS Style

Alfredo Gimelli; Massimiliano Muccillo. The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems. Energies 2018, 11, 821 .

AMA Style

Alfredo Gimelli, Massimiliano Muccillo. The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems. Energies. 2018; 11 (4):821.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo. 2018. "The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems." Energies 11, no. 4: 821.

Journal article
Published: 01 April 2018 in Applied Thermal Engineering
Reads 0
Downloads 0

A methodology aimed at defining thermodynamic model parameters and validating experimental data has been proposed. The methodology consists of a thermodynamic model of a micro gas turbine coupled with a multi-variable multi-objective genetic optimization algorithm, in which decision variables and objectives are set depending on available experimental data. To validate both the thermodynamic model and the collected experimental data, the methodology has been applied to two micro gas turbine plants: the Capstone C30 and the Turbec T100. Validations of the thermodynamic model and the collected experimental data for the two plants have been performed by evaluating the match between input and output physical parameters. The optimal results of the optimization algorithm have plausible thermodynamic parameters and constitute the Pareto front; between these results, the one with the minimum difference between experimental data and calculated values is chosen as preferred. The two studied cases highlight the effect of measurement chain errors on experimental data reliability: the greater is the overall variance of the objectives, the lower is the accuracy of the experimental data. The effectiveness of proposed methodology has been verified for the Capstone C30 through the congruence of the design operating conditions on both the compressor and turbine maps.

ACS Style

Alfredo Gimelli; Raniero Sannino. A multi-variable multi-objective methodology for experimental data and thermodynamic analysis validation: An application to micro gas turbines. Applied Thermal Engineering 2018, 134, 501 -512.

AMA Style

Alfredo Gimelli, Raniero Sannino. A multi-variable multi-objective methodology for experimental data and thermodynamic analysis validation: An application to micro gas turbines. Applied Thermal Engineering. 2018; 134 ():501-512.

Chicago/Turabian Style

Alfredo Gimelli; Raniero Sannino. 2018. "A multi-variable multi-objective methodology for experimental data and thermodynamic analysis validation: An application to micro gas turbines." Applied Thermal Engineering 134, no. : 501-512.

Conference paper
Published: 04 September 2017 in SAE Technical Paper Series
Reads 0
Downloads 0

In the last few years, the automotive industry had to face three main\ud challenges: compliance with more severe pollutant emission limits,\ud better engine performance in terms of torque and drivability and\ud simultaneous demand for a significant reduction in fuel consumption.\ud These conflicting goals have driven the evolution of automotive\ud engines. In particular, the achievement of these mandatory aims,\ud together with the increasingly stringent requirements for carbon\ud dioxide reduction, led to the development of highly complex engine\ud architectures needed to perform advanced operating strategies.\ud Therefore, Variable Valve Actuation (VVA), Exhaust Gas Recirculation\ud (EGR), Gasoline Direct Injection (GDI), turbocharging, powertrain\ud hybridization and other solutions have gradually and widely been\ud introduced into modern internal combustion engines, enhancing the\ud possibilities of achieving the required goals. However, none of the\ud improvements would have been possible without the contextual\ud development of electronics. In fact, that solutions have highly increased\ud the complexity of engine control and management because of the\ud degrees of freedom available for the engine regulation, thus resulting in\ud a long calibration time. In particular, base calibration is the most\ud onerous phase of the engine control, both in terms of experimental and\ud computational effort and costs. This paper addresses some critical\ud issues concerning the calibration of control parameters through the use\ud of a specific Model-Based Computer Aided Calibration algorithm\ud developed by the authors to automate the calibration process and\ud minimize calibration errors. The proposed methodology is also based\ud on the use of neural networks (NN). In particular, starting from a\ud reduced number of experimental data, NN provide a detailed engine\ud data sheets used as input to the actual calibration process itself. The\ud proposed algorithm provides optimal portability and reduced\ud calibration time. The research also highlights how the developed\ud methodology could be useful to identify possible enhancements for\ud specific ECU engine models that can improve the accuracy of the\ud calibration process by using more detailed physically based functions.\ud The results of the proposed research clearly highlight how, in engine\ud control, more accurate physical modeling may lead to promising results\ud and better performance, ultimately enhancing the accuracy, time,\ud experimental effort and cost savings of the calibration process

ACS Style

Francesco De Nola; Giovanni Giardiello; Alfredo Gimelli; Andrea Molteni; Massimiliano Muccillo; Roberto Picariello. A Model-Based Computer Aided Calibration Methodology Enhancing Accuracy, Time and Experimental Effort Savings Through Regression Techniques and Neural Networks. SAE Technical Paper Series 2017, 1 .

AMA Style

Francesco De Nola, Giovanni Giardiello, Alfredo Gimelli, Andrea Molteni, Massimiliano Muccillo, Roberto Picariello. A Model-Based Computer Aided Calibration Methodology Enhancing Accuracy, Time and Experimental Effort Savings Through Regression Techniques and Neural Networks. SAE Technical Paper Series. 2017; ():1.

Chicago/Turabian Style

Francesco De Nola; Giovanni Giardiello; Alfredo Gimelli; Andrea Molteni; Massimiliano Muccillo; Roberto Picariello. 2017. "A Model-Based Computer Aided Calibration Methodology Enhancing Accuracy, Time and Experimental Effort Savings Through Regression Techniques and Neural Networks." SAE Technical Paper Series , no. : 1.

Journal article
Published: 01 September 2017 in Energy Procedia
Reads 0
Downloads 0

In the last decades, the growing concerns about global warming and climate changes effects led to specific Directive, especially in Europe, promoting the use of primary energy saving techniques. In particular, a more widespread adoption of cogeneration systems has been obtained. However, distributed energy systems do not ensure the achievement of primary energy and cost savings without a proper sizing and operation of the plant. Therefore, vector optimization algorithms could play a key role to identify optimal solutions even when conflicting goals are pursued. The potential of the proposed methodology is demonstrated showing the results achieved from a specific application

ACS Style

Alfredo Gimelli; Massimiliano Muccillo; Raniero Sannino. Effects of uncertainties on the stability of the results of an optimal sized modular cogeneration plant. Energy Procedia 2017, 126, 369 -376.

AMA Style

Alfredo Gimelli, Massimiliano Muccillo, Raniero Sannino. Effects of uncertainties on the stability of the results of an optimal sized modular cogeneration plant. Energy Procedia. 2017; 126 ():369-376.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo; Raniero Sannino. 2017. "Effects of uncertainties on the stability of the results of an optimal sized modular cogeneration plant." Energy Procedia 126, no. : 369-376.

Journal article
Published: 01 September 2017 in Energy Procedia
Reads 0
Downloads 0

In this work, a multi-variable multi-objective methodology aimed to perform the validation of the thermodynamic model has been applied to the Capstone C30 micro gas turbine. The methodology is based on a genetic optimization algorithm, where decision variables and objectives are set depending on available experimental data. The results of the studied case highlight the capability of the method to point out some experimental data inconsistencies and that it can lead to a consistency thermodynamic reconstruction of the micro turbine behaviour

ACS Style

Alfredo Gimelli; Raniero Sannino. Thermodynamic model validation of Capstone C30 micro gas turbine. Energy Procedia 2017, 126, 955 -962.

AMA Style

Alfredo Gimelli, Raniero Sannino. Thermodynamic model validation of Capstone C30 micro gas turbine. Energy Procedia. 2017; 126 ():955-962.

Chicago/Turabian Style

Alfredo Gimelli; Raniero Sannino. 2017. "Thermodynamic model validation of Capstone C30 micro gas turbine." Energy Procedia 126, no. : 955-962.

Journal article
Published: 01 March 2017 in Applied Thermal Engineering
Reads 0
Downloads 0

Multi-objective optimization could be, in the industrial sector, a fundamental strategic approach for defining the target design specifications and operating parameters of new competitive products for the market, especially in renewable energy and energy savings fields. Vector optimization mostly enabled the determination of a set of optimal solutions characterized by different costs, sizes, efficiencies and other key features. The designer can subsequently select the solution with the best compromise between the objective functions for the specific application and constraints. In this paper, a multi-objective optimization problem addressing an Organic Rankine Cycle system is solved with consideration for the electric efficiency and overall heat exchangers area as quantities that should be optimized. In fact, considering that the overall capital cost of the ORC system is dominated by the cost of the heat exchangers rather than that of the pump and turbine, this area is related to the cost of the plant and so it was used to indirectly optimize the economic system performance. For this reason, although cost data have not been used, the heat exchangers area was used as a second objective function to minimize the plant cost. Pareto optimal solutions highlighted a trade-off between the two conflicting objective functions. Octamethyltrisiloxane (MDM) was considered organic working fluid, while the following input parameters were used as decision variables: minimum and maximum pressure of the thermodynamic cycle; superheating and subcooling temperature; and regenerator heat exchanger efficiency. Four different solutions belonging to the Pareto optimal front were selected and analyzed. These solutions are characterized by a range of the electric efficiency between 14.1% and 18.9% and overall heat exchangers area from 446 m2 to 1079 m2

ACS Style

Alfredo Gimelli; A. Luongo; M. Muccillo. Efficiency and cost optimization of a regenerative Organic Rankine Cycle power plant through the multi-objective approach. Applied Thermal Engineering 2017, 114, 601 -610.

AMA Style

Alfredo Gimelli, A. Luongo, M. Muccillo. Efficiency and cost optimization of a regenerative Organic Rankine Cycle power plant through the multi-objective approach. Applied Thermal Engineering. 2017; 114 ():601-610.

Chicago/Turabian Style

Alfredo Gimelli; A. Luongo; M. Muccillo. 2017. "Efficiency and cost optimization of a regenerative Organic Rankine Cycle power plant through the multi-objective approach." Applied Thermal Engineering 114, no. : 601-610.

Journal article
Published: 01 February 2017 in Energy Conversion and Management
Reads 0
Downloads 0

The widespread adoption of combined heat and power generation is widely recognized as a strategic goal to achieve significant primary energy savings and lower carbon dioxide emissions. In this context, the purpose of this research is to evaluate the potential of cogeneration based on reciprocating gas engines for some Italian hospital buildings. Comparative analyses have been conducted based on the load profiles of two specific hospital facilities and through the study of the cogeneration system-user interaction. To this end, a specific methodology has been set up by coupling a specifically developed calculation algorithm to a genetic optimization algorithm, and a multi-objective approach has been adopted. The results from the optimization problem highlight a clear trade-off between total primary energy savings (TPES) and simple payback period (SPB). Optimized plant configurations and management strategies show TPES exceeding 18% for the reference hospital facilities and multi–gas engine solutions along with a minimum SPB of approximately three years, thereby justifying the European regulation promoting cogeneration. However, designing a CHP plant for a specific energetic, legislative or market scenario does not guarantee good performance when these scenarios change. For this reason, the proposed methodology has been enhanced in order to focus on some innovative aspects. In particular, this study proposes an uncommon and effective approach to identify the most stable plant solutions through a multi-objective robust design optimization. In particular, the sensitivity of the expected results to possible difficulties in finding commercially available CHP gas engines with sizes reasonably close to the optimal numerical solutions has been estimated. The results indicate that the economic sensitivity is often higher than the energetic sensitivity for most of the optimal solutions, with standard deviation accounting up to 7% of its mean value for the SPB, whereas that percentage is always under 3% for the TPES. Furthermore, the research highlights how the expected results obtained through a deterministic definition of the input decision variables could be overestimated compared to the robust design approach. The proposed research also highlights how optimized CHP plants can be characterized by reasonable levels of energetic and economic sensitivity to changes in the following variable quantities: selling price of electricity, reference efficiency of the Italian thermoelectric generation and selling price of the energy efficiency certificates recognized by the Italian legislation. Indeed, Pareto optimal solutions indicate that the standard deviation for the SPB is always less than 3.5% of its mean value, while this percentage is always under 7% for the TPES

ACS Style

A. Gimelli; M. Muccillo; Raniero Sannino. Optimal design of modular cogeneration plants for hospital facilities and robustness evaluation of the results. Energy Conversion and Management 2017, 134, 20 -31.

AMA Style

A. Gimelli, M. Muccillo, Raniero Sannino. Optimal design of modular cogeneration plants for hospital facilities and robustness evaluation of the results. Energy Conversion and Management. 2017; 134 ():20-31.

Chicago/Turabian Style

A. Gimelli; M. Muccillo; Raniero Sannino. 2017. "Optimal design of modular cogeneration plants for hospital facilities and robustness evaluation of the results." Energy Conversion and Management 134, no. : 20-31.

Journal article
Published: 31 October 2016 in International Review on Modelling and Simulations (IREMOS)
Reads 0
Downloads 0

This paper addresses the thermodynamic analysis performed with reference to a 760 MW Combined Cycle Gas-Steam Power Plant, built in Sparanise (Italy) and went into service in September 2007. The analysis is based on the experimental analysis already described in Part I of the work. The new Italian legislation revealed a number of technical and economic issues for Combined Cycle Power Plants designed to reach out their maximum efficiency in the operation at the nominal point, thus affecting its efficiency, operations and maintenance costs. In fact, this Plant does not operate at constant maximum load (Base Load) but it is forced to continuous load variations facing the problem of Frequency Regulation. For the evaluation of these aspects, thermodynamic analyses have been performed. This activity is used to identify the combinations of control parameters that maximize the overall performance and enable the evaluation of different system configurations. An application of the tool developed for the thermodynamic analysis has also been proposed to evaluate the effect of the Inlet Fogging Technique on the global efficiency and significant quantities. Copyright © 2016 Praise Worthy Prize - All rights reserved.

ACS Style

Alfredo Gimelli; Massimiliano Muccillo. Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part II - Thermodynamic Analysis. International Review on Modelling and Simulations (IREMOS) 2016, 9, 348 .

AMA Style

Alfredo Gimelli, Massimiliano Muccillo. Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part II - Thermodynamic Analysis. International Review on Modelling and Simulations (IREMOS). 2016; 9 (5):348.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo. 2016. "Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part II - Thermodynamic Analysis." International Review on Modelling and Simulations (IREMOS) 9, no. 5: 348.

Journal article
Published: 31 August 2016 in International Review on Modelling and Simulations (IREMOS)
Reads 0
Downloads 0
ACS Style

Alfredo Gimelli; Massimiliano Muccillo. Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part I - Experimental Investigation and Energetic Analysis. International Review on Modelling and Simulations (IREMOS) 2016, 9, 295 .

AMA Style

Alfredo Gimelli, Massimiliano Muccillo. Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part I - Experimental Investigation and Energetic Analysis. International Review on Modelling and Simulations (IREMOS). 2016; 9 (4):295.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo. 2016. "Regulation Problems of Combined Cycle Gas-Steam Turbine Power Plant in a Liberalized Market: Part I - Experimental Investigation and Energetic Analysis." International Review on Modelling and Simulations (IREMOS) 9, no. 4: 295.

Journal article
Published: 01 December 2015 in Energy Procedia
Reads 0
Downloads 0

In the paper, the potentialities offered by an advanced valve lift design are numerically analyzed. In particular, the study is carried out by a 1D approach and regards the characterization of a VVA strategy named “pre-lift” applied to a downsized turbocharged four-cylinder engine. The pre-lift consists of a small, almost constant lift of the intake valve during the exhaust stroke, so to increase the valves overlapping. The results show a benefit on the fuel economy and on the gas-dynamic noise at part load and a substantial increase in the delivered torque at full load, while preserving the fuel consumption.

ACS Style

V. De Bellis; A. Gimelli; M. Muccillo. Effects of Pre-Lift Intake Valve Strategies on the Performance of a DISI VVA Turbocharged Engine at Part and Full Load Operation. Energy Procedia 2015, 81, 874 -882.

AMA Style

V. De Bellis, A. Gimelli, M. Muccillo. Effects of Pre-Lift Intake Valve Strategies on the Performance of a DISI VVA Turbocharged Engine at Part and Full Load Operation. Energy Procedia. 2015; 81 ():874-882.

Chicago/Turabian Style

V. De Bellis; A. Gimelli; M. Muccillo. 2015. "Effects of Pre-Lift Intake Valve Strategies on the Performance of a DISI VVA Turbocharged Engine at Part and Full Load Operation." Energy Procedia 81, no. : 874-882.

Journal article
Published: 01 December 2015 in Energy Procedia
Reads 0
Downloads 0

This paper starts from the results of the paper “Combined MGT – ORC solar – hybrid system. Part A: plant optimization PART A” and, as far as the selection of the ORC expander is concerned, different solutions are compared between radial turbines, volumetric and scroll expanders. A preliminary extended similarity study aids the search of the most suitable expander to be adapted to the ORC application. Actually, the most critical aspects regard the change in the operating fluid with dramatically different characteristics in terms of compressibility effects, molecular weight, and transport properties. Once the adaptability of an existing expander to such a different fluid has been detected, the effectiveness of this choice is validated by a CFD analysis. The component analysis is completed by the investigation of the reacting flow through the MGT combustor supplied with natural gas or biogas.

ACS Style

M.C. Cameretti; F. Ferrara; A. Gimelli; R. Tuccillo. Combined MGT – ORC Solar – Hybrid System. PART B: Component Analysis and Prime Mover Selection. Energy Procedia 2015, 81, 379 -389.

AMA Style

M.C. Cameretti, F. Ferrara, A. Gimelli, R. Tuccillo. Combined MGT – ORC Solar – Hybrid System. PART B: Component Analysis and Prime Mover Selection. Energy Procedia. 2015; 81 ():379-389.

Chicago/Turabian Style

M.C. Cameretti; F. Ferrara; A. Gimelli; R. Tuccillo. 2015. "Combined MGT – ORC Solar – Hybrid System. PART B: Component Analysis and Prime Mover Selection." Energy Procedia 81, no. : 379-389.

Journal article
Published: 01 December 2015 in Energy Procedia
Reads 0
Downloads 0

The renewed interest towards the low range power plants operating solicits the search of optimal solutions in terms of several key aspects: - The optimization of the thermal cycle in relation with the heat addition source, say an externally fired combustor, solar energy collectors, or waste heat from topping processes, together with the choice of the most favorable operating fluid. - The realization of the power plant with affordable costs, so more suitable with its employment as a distributed energy systems. This paper deals, in particular, with a combined cycle plant consisting of a topping micro-gas turbine (MGT) and of a bottoming ORC system (fig. 1 and fig. 2). A hybrid energy source is considered by means of the integration of the conventional fuel supply with a solar field. The authors’ work proceeds with the optimization of several main parameters, say: - The location and the size of the solar field (with parabolic trough assembly) and, therefore, of the temperature limits of the compressed air in the MGT; - The more appropriate working fluid in the ORC bottoming plant; - The off-design response for the best adaptation of the system to variable heat and power demands and to changes in the solar radiation intensity.

ACS Style

M.C. Cameretti; F. Ferrara; A. Gimelli; R. Tuccillo. Combined MGT – ORC Solar – Hybrid System. PART A: Plant Optimization. Energy Procedia 2015, 81, 368 -378.

AMA Style

M.C. Cameretti, F. Ferrara, A. Gimelli, R. Tuccillo. Combined MGT – ORC Solar – Hybrid System. PART A: Plant Optimization. Energy Procedia. 2015; 81 ():368-378.

Chicago/Turabian Style

M.C. Cameretti; F. Ferrara; A. Gimelli; R. Tuccillo. 2015. "Combined MGT – ORC Solar – Hybrid System. PART A: Plant Optimization." Energy Procedia 81, no. : 368-378.

Journal article
Published: 01 December 2015 in Energy Procedia
Reads 0
Downloads 0

Combined heat and power plants are recognized as very effective solutions to achieve the increasingly stringent requirements in primary energy saving. The paper addresses the use of a specifically developed methodology to conduct several analyses on the basis of the loads of a specific hospital facility and through the study of the cogeneration system-user interaction. Predictive analyses are carried out using a multi-objective approach to find optimized plant configurations that approaches the best energetic results while ensuring a reasonable profit. Optimized plant configurations and management strategies indicate primary energy savings exceeding 17%. Finally, a sensitivity analysis is carried out to evaluate the robustness of the results

ACS Style

M. Muccillo; Alfredo Gimelli; Raniero Sannino. Multi-objective Optimization and Sensitivity Analysis of a Cogeneration System for a Hospital Facility. Energy Procedia 2015, 81, 585 -596.

AMA Style

M. Muccillo, Alfredo Gimelli, Raniero Sannino. Multi-objective Optimization and Sensitivity Analysis of a Cogeneration System for a Hospital Facility. Energy Procedia. 2015; 81 ():585-596.

Chicago/Turabian Style

M. Muccillo; Alfredo Gimelli; Raniero Sannino. 2015. "Multi-objective Optimization and Sensitivity Analysis of a Cogeneration System for a Hospital Facility." Energy Procedia 81, no. : 585-596.

Research article
Published: 01 September 2015 in International Journal of Engine Research
Reads 0
Downloads 0

It is commonly recognized that one of the most effective ways to improve Brake-Specific Fuel Consumption (BSFC) in a spark-ignition engine at partial load is the adoption of VVA strategies, which largely affect the pumping work. Many different solutions have been proposed, characterized by different levels of complexity, effectiveness and costs. VVA systems currently available on the market allow for variable valve timing and/or lift (VVA). The design of a new mechanical VVA system has been discussed in Part I of this article. That study led to the development of a four-element VVA mechanism. Now, to estimate the potential advantages of the studied system on engine performances, one-dimensional thermo-fluid dynamic analyses were conducted, considering both full load and partial load operating conditions. For this reason, this article addresses the definition of the one-dimensional model of a 638-cm3 single-cylinder engine under development, which will be equipped with the four-element VVA system. The findings from the one-dimensional study will be discussed in detail. In particular, the parametric analyses, which concern the engine power at wide open throttle and the SFC at partial load, will be presented. These results, however, are only theoretical results because the one-dimensional simulation is not able to take into account the increased friction losses due to the complexity of the VVA system. Therefore, to correctly quantify the actual fuel consumption allowed by the studied system (net of the generally increased power dissipated by friction when compared to a conventional valve train), a specific methodology, discussed in Part I, has been adopted.

ACS Style

Alfredo Gimelli; Massimiliano Muccillo; Ottavio Pennacchia. Study of a new mechanical variable valve actuation system: Part II—estimation of the actual fuel consumption improvement through one-dimensional fluid dynamic analysis and valve train friction estimation. International Journal of Engine Research 2015, 16, 762 -772.

AMA Style

Alfredo Gimelli, Massimiliano Muccillo, Ottavio Pennacchia. Study of a new mechanical variable valve actuation system: Part II—estimation of the actual fuel consumption improvement through one-dimensional fluid dynamic analysis and valve train friction estimation. International Journal of Engine Research. 2015; 16 (6):762-772.

Chicago/Turabian Style

Alfredo Gimelli; Massimiliano Muccillo; Ottavio Pennacchia. 2015. "Study of a new mechanical variable valve actuation system: Part II—estimation of the actual fuel consumption improvement through one-dimensional fluid dynamic analysis and valve train friction estimation." International Journal of Engine Research 16, no. 6: 762-772.

Conference paper
Published: 15 June 2015 in Volume 7B: Structures and Dynamics
Reads 0
Downloads 0

The authors propose in this paper the integration of a combined power plant, with a micro gas turbine (MGT) and an ORC system, and a solar field that allows a temperature increase of the air at the MGT recuperator inlet. Consequently, an increase is also obtained for the exhausts and this leads to an enhanced heat recovery in the ORC boiler and a greater availability of thermal energy. The purpose of the authors’ work is to analyze the effectiveness of the above proposal under several aspects, therefore, under a preliminary thermodynamic study of the plant set-up in CHP mode, the attention is paid to the choice of the organic fluid expander with a low-cost objective. Classical similarity criteria are helpful for a first estimate of the adaptability of a radial flow turbine from the down-sized turbocharger technology to an organic working fluid. A CFD validation of such choice is then carried out and this phase also determines the characteristic curves of the radial flow turbine. Basing on the availability of the characteristic maps of all the rotating components, a reliable off-design analysis of the solar-assisted CHP plant is performed under several load levels and environmental conditions, the latter strongly influencing the solar irradiance on the parabolic trough collectors. Finally, since the examples refer to both natural gas and biogas fuelling, a CFD analysis of the reacting flow through the MGT combustor checks the combustion effectiveness under challenging variations of the boundary conditions.

ACS Style

Maria Cristina Cameretti; Francesco Ferrara; Alfredo Gimelli; Raffaele Tuccillo. Employing Micro-Turbine Components in Integrated Solar-MGT-ORC Power Plants. Volume 7B: Structures and Dynamics 2015, 1 .

AMA Style

Maria Cristina Cameretti, Francesco Ferrara, Alfredo Gimelli, Raffaele Tuccillo. Employing Micro-Turbine Components in Integrated Solar-MGT-ORC Power Plants. Volume 7B: Structures and Dynamics. 2015; ():1.

Chicago/Turabian Style

Maria Cristina Cameretti; Francesco Ferrara; Alfredo Gimelli; Raffaele Tuccillo. 2015. "Employing Micro-Turbine Components in Integrated Solar-MGT-ORC Power Plants." Volume 7B: Structures and Dynamics , no. : 1.

Journal article
Published: 01 October 2014 in Applied Thermal Engineering
Reads 0
Downloads 0

Cogeneration is commonly recognized as one of the most effective solutions to achieve the\ud increasingly stringent reduction in primary energy consumption and greenhouse emissions. This\ud characteristic led to the adoption of specific directives promoting this technique. In addition, a strategic\ud role in power reliability is recognized to distributed generation. The study and prototyping of\ud cogeneration plants, therefore, has involved many research centers.\ud This paper deals with energetic aspects of CHP referring to the study of a 15 kW micro-CHP plant\ud based on a LPG reciprocating engine designed, built and grid connected. The plant consists of a heat\ud recovery system characterized by a single water circuit recovering heat from exhaust gases, from\ud engine coolant and from the energy radiated by the engine within the shell hosting the plant.\ud Some tests were carried out at whole open throttle and the experimental data were collected. However\ud it was needed to perform a 1D thermo-fluid dynamics simulation of the engine to completely\ud characterize the micro-CHP.\ud As the heat actually recovered depends on the user's thermal load, particularly from the required\ud temperature's level, a comparison of the results for six types of users were performed: residential,\ud hospital, office, commercial, sports, hotel. Both Italian legislative indexes IRE and LT were evaluated,\ud as defined by A.E.E.G resolution n. 42/02 and subsequent updates, as well as the plant???s total\ud Primary Energy Saving

ACS Style

M. Muccillo; A. Gimelli. Experimental development, 1D CFD simulation and energetic analysis of a 15 kw micro-CHP unit based on reciprocating internal combustion engine. Applied Thermal Engineering 2014, 71, 760 -770.

AMA Style

M. Muccillo, A. Gimelli. Experimental development, 1D CFD simulation and energetic analysis of a 15 kw micro-CHP unit based on reciprocating internal combustion engine. Applied Thermal Engineering. 2014; 71 (2):760-770.

Chicago/Turabian Style

M. Muccillo; A. Gimelli. 2014. "Experimental development, 1D CFD simulation and energetic analysis of a 15 kw micro-CHP unit based on reciprocating internal combustion engine." Applied Thermal Engineering 71, no. 2: 760-770.