The solar incidence on an indoor environment and its occupants has significant impacts on indoor thermal comfort; it can bring favorable passive solar heating or can result in undesired overheating (even in winter). With the increasing use of glazing in modern buildings, this problem has become more critical for both building design and energy use. Conventional indoor thermal comfort indictors and models, such as the predictive mean vote and adaptive comfort models, do not consider solar effects and thus underestimate the actual indoor thermal conditions of environments with solar impacts. This study comprehensively reviewed eight existing models considering solar incidence and proposed one new model for comparison. The prediction performances of these models were quantitively evaluated against each other and against an experiment conducted in this research. The results indicate that most of the models integrating solar radiation as a component in the mean radiation temperature can provide relatively reasonable comfort predictions. The proposed new model presents a similar prediction performance, but it only requires a few easy-to-measure environmental parameters (i.e., solar radiation intensity and room air temperature). This study further demonstrates the potential application of the proposed model.

日光对室内环境及其居住者的影响对室内的热舒适性有重大影响；它可能带来有利的被动式太阳能加热，或导致不希望的过热（即使在冬天）。随着现代建筑中玻璃的使用增加，这个问题对于建筑设计和能源使用都变得越来越关键。常规的室内热舒适性指标和模型（例如预测平均投票和自适应舒适性模型）没有考虑太阳影响，因此低估了受到太阳影响的环境的实际室内热状况。这项研究全面回顾了考虑太阳入射的八个现有模型，并提出了一种新的模型进行比较。这些模型的预测性能彼此之间以及在本研究中进行的实验之间进行了定量评估。结果表明，大多数将太阳辐射作为平均辐射温度成分的模型都可以提供相对合理的舒适度预测。提出的新模型具有相似的预测性能，但是只需要一些易于测量的环境参数（即太阳辐射强度和室内空气温度）。这项研究进一步证明了该模型的潜在应用。但它只需要几个易于测量的环境参数（即，太阳辐射强度和室内空气温度）。这项研究进一步证明了该模型的潜在应用。但它只需要几个易于测量的环境参数（即，太阳辐射强度和室内空气温度）。这项研究进一步证明了该模型的潜在应用。