Nowadays, microphone arrays are used in many applications for sound-source localization or acoustic enhancement. The current Micro-Electro-Mechanical Systems (MEMS) technology allows the development of networks of microphone arrays at a relatively low cost. Unfortunately, the evaluation of these networks requires controlled acoustic environments, such as anechoic chambers, to avoid possible distortions and acoustic artifacts. In this paper, we present a partial reconfigurable FPGA platform to emulate a network of microphone arrays. Our platform provides a controlled simulated acoustic environment, able to evaluate the impact of different network configurations such as the number of microphones per array, the network's topology or the used detection method. Data fusion techniques, combining the data collected by each node, are used in this platform. In addition, our platform is also capable to converge to the ideal network with regards to power consumption, while still maintaining the desired level of sound-source localization accuracy. A graphical user interface provides a friendly control of the network and the parameters under test during the execution of the partial reconfiguration operations. Several experiments are presented to demonstrate some of the capabilities of our platform.