7 research outputs found
Waste Heat Recovery From The Exhaust Of Natural Aspirated Engine
The utilization of exhaust waste heat is now well known and the basic of many combined cooling, heating, and power installations. Heat recovery from automotive engines has been predominantly for turbo-charging or others such as cabin heating, thermoelectric, and air conditioning. The exhaust gases from such installations represent a significant amount of thermal energy that traditionally has been used for combined heat and power applications. This paper explores the theoretical performance and simulation of natural aspirated spark ignition engine model of 1.6 L, which is occupied with waste heat recovery mechanism (WHRM). Mathematical model and simulation test results suggest that the concept is PFI thermodynamically feasible and could significantly enhance system performance depending on the load applied on the engine. However, the experimental test should be conducted to validate the simulation results as for scalability and reliability that require further investigation
Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for
combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine
equipped with waste heat recovery mechanism (WHRM).he experimental and simulation test results suggest that the concept is
thermodynamically feasible and could signiicantly enhance the system performance depending on the load applied to the engine.
he simulation method is created using an artiicial neural network (ANN) which predicts the power produced from theWHRM
Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network
The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for
combined heating and power applications. This paper explores the performance of a naturally aspirated spark ignition engine
equipped with waste heat recovery mechanism (WHRM). The experimental and simulation test results suggest that the concept is
thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine.
The simulation method is created using an artificial neural network (ANN) which predicts the power produced from theWHRM
The study on performance of naturally aspirated spark ignition engine equipped with waste heat recovery mechanism
The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally
been used for combined heating and power applications. This paper explores the performance of a naturally aspirated spark
ignition engine equipped with waste heat recovery mechanism (WHRM). The amount of heat energy from exhaust is
presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly
enhance the system performance depending on the load applied to the engine. However, the existing of WHRM affects the
performance of engine by slightly reducing the power
Prediction On Power Produced From Power Turbine As A Waste Heat Recovery Mechanism On Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM) in a sedan car. The amount of heat energy from exhaust is presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. However, the existence of WHRM affects the performance of engine by slightly reducing the power. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM
POWER PREDICTED FROM WASTE HEAT RECOVERY EXHAUST OF NATURAL ASPIRATED ENGINE
The utilization of exhaust waste heat is now well known and the basic of many combined cooling, heating, and power installations. Heat recovery from automotive engines has seen predominantly for turbo-charging or others such as cabin heating, thermoelectric, and air conditioning. The exhaust gases from such installations represent a significant amount of thermal energy that traditionally has been used for combined heat and power applications. This paper explores the theexperimetall performance and simulation of natural aspirated spark ignition engine model of 1.6 L, which is occupied with waste heat recovery mechanism (WHRM). The experimental and simulation test results suggest that the concept is thermodynamically feasible and could significantly enhance system performance depending on the load applied on the engine. The simulation method is created using artificial neural network that can predicted the power produced from the WHRM
Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM) in a sedan car. The amount of heat energy from exhaust is presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. However, the existence of WHRM affects the performance of engine by slightly reducing the power. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from the WHRM