Godin Robert, Durrant James R
Department of Chemistry, The University of British Columbia, 3247 University Way, Kelowna, British Columbia, V1V 1V7, Canada.
Clean Energy Research Center, University of British Columbia, 2360 East Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Chem Soc Rev. 2021 Nov 29;50(23):13372-13409. doi: 10.1039/d1cs00577d.
The continued development of solar energy conversion technologies relies on an improved understanding of their limitations. In this review, we focus on a comparison of the charge carrier dynamics underlying the function of photovoltaic devices with those of both natural and artificial photosynthetic systems. The solar energy conversion efficiency is determined by the product of the rate of generation of high energy species (charges for solar cells, chemical fuels for photosynthesis) and the energy contained in these species. It is known that the underlying kinetics of the photophysical and charge transfer processes affect the production yield of high energy species. Comparatively little attention has been paid to how these kinetics are linked to the energy contained in the high energy species or the energy lost in driving the forward reactions. Here we review the operational parameters of both photovoltaic and photosynthetic systems to highlight the energy cost of extending the lifetime of charge carriers to levels that enable function. We show a strong correlation between the energy lost within the device and the necessary lifetime gain, even when considering natural photosynthesis alongside artificial systems. From consideration of experimental data across all these systems, the emprical energetic cost of each 10-fold increase in lifetime is 87 meV. This energetic cost of lifetime gain is approx. 50% greater than the 59 meV predicted from a simple kinetic model. Broadly speaking, photovoltaic devices show smaller energy losses compared to photosynthetic devices due to the smaller lifetime gains needed. This is because of faster charge extraction processes in photovoltaic devices compared to the complex multi-electron, multi-proton redox reactions that produce fuels in photosynthetic devices. The result is that in photosynthetic systems, larger energetic costs are paid to overcome unfavorable kinetic competition between the excited state lifetime and the rate of interfacial reactions. We apply this framework to leading examples of photovoltaic and photosynthetic devices to identify kinetic sources of energy loss and identify possible strategies to reduce this energy loss. The kinetic and energetic analyses undertaken are applicable to both photovoltaic and photosynthetic systems allowing for a holistic comparison of both types of solar energy conversion approaches.
太阳能转换技术的持续发展依赖于对其局限性的深入理解。在本综述中,我们着重比较光伏器件功能背后的电荷载流子动力学与天然和人工光合系统的电荷载流子动力学。太阳能转换效率由高能物种(太阳能电池中的电荷、光合作用中的化学燃料)的产生速率与这些物种所含能量的乘积决定。众所周知,光物理和电荷转移过程的基础动力学影响高能物种的产量。相对而言,人们很少关注这些动力学如何与高能物种所含能量或驱动正向反应中损失的能量相关联。在此,我们综述光伏和光合系统的运行参数,以突出将电荷载流子寿命延长至实现功能所需水平的能量成本。我们表明,即使将天然光合作用与人工系统一并考虑,器件内部损失的能量与所需的寿命增益之间也存在很强的相关性。从对所有这些系统的实验数据的考量来看,寿命每增加10倍的经验能量成本为87毫电子伏特。这种寿命增益的能量成本比简单动力学模型预测的59毫电子伏特大约高50%。一般来说,由于所需的寿命增益较小,光伏器件相比光合器件显示出较小的能量损失。这是因为与光合器件中产生燃料的复杂多电子、多质子氧化还原反应相比,光伏器件中的电荷提取过程更快。结果是,在光合系统中,为克服激发态寿命与界面反应速率之间不利的动力学竞争,需要付出更高的能量成本。我们将此框架应用于光伏和光合器件的典型示例,以确定能量损失的动力学来源,并确定减少这种能量损失的可能策略。所进行的动力学和能量分析适用于光伏和光合系统,从而能够对这两种太阳能转换方法进行全面比较。