A Decoupled Design Parameter Analysis for Free-Piston Engine Generators

Abstract

Abstract:The free-piston engine generator (FPEG) is a novel power generation device with an estimated brake efficiency (energy contained in the fuel that is transformed into useful work) of up to 46%, compared to the 25-35% reported in conventional reciprocating engines. This paper seeks to address a major challenge in the development of new and complex technologies-how do we effectively communicate and understand the influence of key design parameters on its operating performance? In this paper, the FPEG is described using a simple numerical model, a model which is reduced to a forced mass-spring vibration system under external excitation, enabling all the major input parameters to be decoupled. It proved that the engine piston position as a function of time and output power could be predicted directly from the input parameters with acceptable accuracy. The influence of the key FPEG design parameters on the piston oscillation characteristics and electric power output can be characterised with respect to one another and summarised. Key design parameters include piston mass, compression stroke length, piston cross sectional area, and electric load. Compared with previous and more complex numerical models, the presented methods can be used to simply describe the sensitivity of key design parameters on the FPEG performance. It will provide useful general guidance for the FPEG hardware design process.

Power Generation via Small Length Scale Thermo-Mechanical Systems: Current Status and Challenges, a Review

“…The authors concluded that the variable motion of the piston will notably affect the combustion process, heat release, and exhaust emissions, necessitating special care in the FPE design. FPEs coupled with linear electric generators are being investigated at millimeter length scale for electrical power output [47,48] ( Figure 5). Jia et al developed tools that allowed determining piston dynamics and engine performance (output power) for a known input conditions.…”