In order to reduce the environmental impact of transportation, the adoption of low and zero carbon fuel is needed to reduce the greenhouse gas emissions from engines, both from tailpipe and well-to-wheel perspectives. However, for some of the promising fuels, such as renewable natural gas and ammonia, the relatively low chemical reactivity and laminar flame speed bring challenge to a rapid and efficient combustion process, especially under lean or diluted conditions to suppress NOx emissions, leading to reduced combustion and thermal efficiencies. To tackle the challenge, high in-cylinder turbulence intensity is needed to shorten the combustion duration, together with strong ignition sources to support the initial flame kernel development. In this paper, an ignition energy modulation system is developed to enhance both discharge duration and discharge energy of a spark event to secure the ignition process. Moreover, a rapid compression machine is employed to compress the fuel-air mixture to engine-like conditions before the ignition process. The cylinder head of the rapid compression machine is designed to generate tumble flow across the spark gap, and the cross-flow speed can be adjusted from 3 m/s to 40 m/s under same mixture density and temperatures, which covers the application from low speed to high speed engines. The impact of discharge duration and current amplitude of the spark event on the ignition and combustion characteristics will be discussed in detail, under various excess air ratios, flow speeds, and mixture densities. Ignition timing, discharge current amplitude and duration can be precisely controlled via FPGA system in microsecond order, and both in-cylinder pressure and high speed shadowgraph imaging system will be used to observe and analysis the combustion process. The aim of the study is to identify the efficacy of enhanced turbulence and ignition on the combustion efficiency lean fuel air mixture, respectively, to provide support for the research and development of future low carbon powertrains.