For a Research paper, SungKi SONG, Koichi ISAWA, Study on the system performance and exergy evaluation of a solar thermal utilization system of over 30 years using in a shelter gymnasium, Journal of Japan Solar Energy Society, 49 （2）, 65‒71 （2023）. Fig.12 were error in the printed version （No. 274）. We would like to correct the mistake and add them as follows.

In this study, a daily three-layer artificial neural network (ANN) which converts from global horizontal irradiation (GHI) to photovoltaic (PV) power is developed. Here, each ANN estimates PV power of a specific day after the ANN learns the data from days around the specific day. Though the three-layer ANN has small numbers of the weight in the ANN, daily ANNs are expected to include the seasonal dependence which appears in the conversion from GHI to PV power. In addition to GHI, temperature, humidity, and solar azimuth are given as input variables. As a result of applying the developed daily ANN to a sunny day, a cloudy day, and a rainy day, it was confirmed that the PV power generation in these object days could be accurately estimated. The estimation errors were also evaluated for one year and effectiveness of daily three-layer ANNs with proposed input parameters was shown.

Although compound parabolic concentrators (CPCs) are widely used for solar concentration, they only have one degree of freedom in the design of their acceptance angle. To overcome this limitation, a new type of concentrator called MultiPro-CPCs has been developed. These three-dimensional concentrators have multiple compound parabolic profiles, combined with elliptical and rectangular receivers, enabling them to have multiple directional acceptance angles. In this study, the tilt effect, and the truncation effect on the energy collection performance of the MultiPro-CPCs in Tokyo is presented with a comparison to the three-dimensional CPC through ray tracing simulation. The MultiPro-CPCs with an elliptical receiver showed the highest performances, up to twice the collected energy per receiver area of the 3DCPC. Moreover, all truncated MultiPro-CPCs show higher peak performance compared to the non-truncated 3DCPC. The outcomes show the MultiPro-CPCs as better options in the field of concentration when considering high-cost receivers and concentrator height limits.

To enhance the power generation efficiency of silicon/PEDOT:PSS hybrid solar cells, introducing nanowire structures on the silicon substrate is an effective approach. It is crucial to increase the adhesion between the Si nanowires and PEDOT:PSS to improve the absorption efficiency. Additionally, improving the conductivity of PEDOT:PSS is also important. This study discusses the effects of polar organic solvents and silane coupling on the performance of Si nanowire/PEDOT:PSS hybrid solar cells. The aim is to improve the conductivity of PEDOT:PSS and the adhesion of Si nanowire/PEDOT:PSS interfaces. The findings reveal that the removal of insulating components by polar organic solvents improves conductivity. Additionally, the introduction of silane coupling and extended wire spacing improves the adhesion of Si nanowire/PEDOT:PSS interfaces.

The power-voltage (PV) characteristic of a photovoltaic (PV) string has multiple local maxima under partial shading conditions (PSCs). Maximum power point tracking (MPPT) control needs both accuracy and fast speed. However, due to the trade-off between accuracy and tracking speed, MPPT methods that complement them are not yet complete. Another issue is the inability to detect changes in the high-voltage side local maxima when operating at the low-voltage side maximum power point. This study proposes an MPPT method based on a system with current sensors in each module. This proposed method can detect individual short-circuit currents and estimate the maximum power point quickly and accurately, furthermore respond to changes in all power points. Through simulations, the MPPT method is compared with the conventional method (scan method) in terms of tracking time and accuracy．