Younggy Shin

Performance test and simulation of a reciprocating engine for long endurance miniature unmanned aerial vehicles

Abstract Development of an engine with good fuel economy is very important for successful implementation of long endurance miniature UAVs (unmanned aerial vehicles). In the study, a four-stroke glow-plug engine was modified to a gasoline-fuelled spark ignition engine. Engine tests measuring performance and friction losses were conducted to tune a simulation program for performance prediction. It has been found that excessive friction losses are caused by insufficient lubrication at high speeds. The simulation program predicts that engine power and fuel economy become worse with high altitude, due to an increasing portion of friction losses. The simulation results suggest quantitative guidelines for further development of a practical engine.

Dynamic Modeling and Simulation of a Hybrid Heat Pump

A hybrid heat pump is under development with the goal of utilizing 120% of primary energy resources. A plate heat exchanger is added between the compressor and air-cooled condenser of an ordinary heat pump to heat water. For successful operation of the heat pump, it is necessary to develop a control algorithm under various operating conditions. As a virtual test bed for that purpose, a dynamic model has been developed, to simulate its dynamic behavior. It was modeled in transient one-dimensions, with varying phase lengths considered. The model was implemented in Matlab and Simulink. Simulation results were effectively applied to design a control algorithm. They also provided physical insight into how to design and operate the system.

Dynamics Modeling of a Gas Engine-Driven Heat Pump in Cooling Mode

The present study has been conducted to simulate dynamics of a gas engine-driven heat pump (GHp) for design of control algorithm. The dynamics modeling of a GHp was based on conservation laws of mass and energy. For automatic control of refrigerant pressures, actuators such as engine speed, outdoor fans, coolant three-way valves and liquid injection valves were pI or p controlled. The simulation results were found to be realistic enough to apply for control algorithm design. The model can be applied to build a virtual real-time GHp system so that it interfaces with a real controller in purpose of prototyping control algorithm.

In-Situ Diagnosis of Vapor-Compressed Chiller Performance for Energy Saving

In-situ diagnosis of chiller performance is an essential step for energy saving business. The main purpose of the in-situ diagnosis is to predict the performance of a target chiller. Many models based on thermodynamics have been proposed for the purpose. However, they have to be modified from chiller to chiller and require profound knowledge of thermodynamics and heat transfer. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). The effect of sample data distribution on training the ANFIS is investigated. It is found that the data sampling over 10 days during summer results in a reliable ANFIS whose performance prediction error is within measurement errors. The reliable ANFIS makes it possible to prepare an energy audit and suggest an energy saving plan based on the diagnosed chilled water supply system.

Development of a Renewable Energy Facility Design and Its Simulation Case Study

Economic feasibility was conducted regarding the regulation that dictates obligatory installation of renewable energy facilities in small proportion. A concern is how to allocate the capacities of candidate facilities (solar collectors, PV cells and geothermal heat pumps) with minimum cost, and meet the obligatory energy supply proportion. A design rule has been developed, with which a designer can tune his or her design strategy between installation cost and LCC. This was derived mainly from documents regarding the KEMCO installation guide. It was concluded that PV was the cheapest, with respect to installation cost, but a geothermal heat pump was the most recommended, when LCC was also taken into account. The proposed design result was also confirmed, by simulation results obtained from Energy Plus.

A Study on Steady-State Criterion based on COV and a Fault Detection Method during GHP Operation

Fault detection has to be proceeded by steady state filtering to get rid of transient effect associated with thermal capacity. Coefficient of variance (COV), ratio of standard deviation devided by moving average, was employed as steady-state filter. Engine speed and refrigerant pressures were selected as parameters representing system dynamics. The filtered values were registered as members of steady-state DB. They were found to show good functional relationship with ambient temperature. The relationship was fitted with a second order polynomial and the distribution bounds of the data around the fitted curve were expressed by visual inspection because of varying average and random data interval. Fault data were compared with the steady-state data obtained during normal operation. The fault data were easily isolated from the fault-free one. To make such isolation reliable, tests to construct good DB should be designed in a systematic way.

Neuro-Fuzzy Diagnostic Technique for Performance Evaluation of a Chiller

On-site diagnosis of chiller performance is an essential step fur energy saving business. The main purpose of the on-site diagnosis is to predict the COP of a target chiller. Many models based on thermodynamics background have been proposed for this purpose. However, they have to be modified from chiller to chiller and require deep insight into thermodynamics that most of field engineers are often lacking in. This study focuses on developing an easy-to-use diagnostic technique that is based on adaptive neuro-fuzzy inference system (ANFIS). Quality of the training data for ANFIS, sampled over June through September, is assessed by checking COP prediction errors. The architecture of the ANFIS, its error bounds, and collection of training data are described in detail.