Supporting data for “Efficient Energy Extraction of Salinity Gradient Power through A Reverse-Electrodialysis System”

Salinity gradient power (SGP) derived from sea and fresh water through reverse electrodialysis (RED) is an emerging discipline with huge potential for carbon-free energy harvesting. SGP technology is still in an infant stage and there is a need for accurate models to study its energy harvesting process and describe its electrical performance. The data in experiment 1 include time, stack voltage, and current, which are used to fix the value of the model parameters. Moreover, maximum power point tracking techniques are of great significance to efficiently utilize SGP through RED stacks.The data in experiment 2 include time, stack voltage, current, and also the attainable electric power under the MPPT control. They are used to validate the effectiveness of the proposed MPPT technique. Last but not least, a single-input multiple-output inverter with decoupled control is necessary to deliver power from the stack to output loads. The data in experiment 3 comprise of several figures of operation waveforms under different operating conditions. They are used to validate the feasibility and effectiveness of the designed power interface as well as the decoupled control method.

海水与淡水通过反渗透电渗析（RED）技术获得的盐度梯度能（SGP）是一种新兴的具有巨大碳减排能源采集潜力的学科。SGP技术仍处于初级阶段，亟需精确模型来研究其能源采集过程并描述其电气性能。实验1中的数据包括时间、堆栈电压和电流，这些数据被用于确定模型参数的值。此外，最大功率点跟踪技术在通过RED堆栈高效利用SGP方面具有重要意义。实验2中的数据包括时间、堆栈电压、电流以及最大功率点控制下的可获取电功率，这些数据被用于验证所提出MPPT技术的有效性。至关重要的一点是，一个单输入多输出且具有解耦控制的逆变器对于将能量从堆栈传输到输出负载至关重要。实验3中的数据包括在不同运行条件下操作波形图的多幅图像，这些数据被用于验证设计的功率接口及解耦控制方法的可行性与有效性。