RbCsCH(NH₂)₂PbI₃ was used for a photo absorber in multi-porous-layered-electrode perovskite solar cells: MPLE-PSC to suppress the overestimation during the photo I-V measurements. The contents of precursor solution were optimizedto improve the efficiency.

Improving the accuracy of deep learning models for solar irradiation prediction is crucial for the optimization of home energy management system (HEMS). This study proposes a new deep learning model to better perform open-loop prediction. The convolutional neural network (CNN) and long short-term memory (LSTM) models are introduced to enhance the accuracy of the model for different weather conditions and locations. The prediction results and performance of the model will be evaluated using solar irradiation data from regions such as Sapporo, Tokyo and Osaka in different weathers, and compared with LSTM based model and CNN model. The results indicate that the hybrid CNN-LSTM model outperforms the other two models overall and shows better performance under stable condition.

In the case of agriphotovoltaics, which aims for the coexistence of agriculture and photovoltaic power generation, it is important to predict the yield of the crops to be grown in addition to the amount of electricity to be generated. To estimate the behavior of shadows generated by solar panels, it is important to evaluate not only direct light, which can be regarded as collimated light, but also scattered light. Since observations with moving parts such as a diffuse pyranometer are not easy in snow-covered areas, we attempted to evaluate the behavior of scattered light using an all-sky camera without moving parts.

In the highly insulated and airtight houses of Hokkaido, strong thermal boundaries create a comfortable indoor environment in winter, but the separation of inside and outside limits people's behaviour, and it is difficult to say that the houses are flexible enough to respond to diversifying lifestyles. The incorporation of a thermal semi-indoor/outdoor space in a house, after realising a comfortable indoor environment with even temperatures, has the potential to restore regional and season-specific ways of living that are being lost, and to be used as a space that brings out the unique ‘mature way of living’ of high-performance housing.

This study describes the interior climate design of the zoo house “Orangutan and Borneo Forest” opened at the Sapporo Maruyama Zoo. The building form is RC with exterior insulation, the heating system is radiant panel and column heating, and the ventilation system is a displacement ventilation system with ground tubes to introduce outside air. Top lights, natural lighting, and intermittent watering were installed to allow for the growth of in-ground plantings indoors.

This report aims to clarify the regional characteristics influencing residential PV installation in Japan at the municipal level. Previous research has often focused on specific areas, but this study conducts a cross-sectional data analysis targeting small cities and towns with populations under 100,000. As a result, the number of workers by industry, the percentage of elderly, owneroccupied homes, and the percentage of the population living in areas with high disaster risk were identified as factors that contribute to the introduction of PV. Analyzing data at the municipal scale can incorporate factors such as the natural environment, housing types, and economic factors to provide a comprehensive understanding of solar energy adoption.

Organic-inorganic hybrid perovskites have garnered significant attention for their outstanding optoelectronic properties. Over the past decade, the efficiency of perovskite solar cells (PSCs) has surged from 3.8 % to 25.08 % [1,2], positioning them as a leading candidate for next-generation photovoltaic technology. In recent years, adding additives has been widely studied for preparing large-scale perovskite films from precursor solutions [3]. In this study, the perovskite precursor solution with the addition of a graphene-based additive was spin-coated in ambient air to produce high-quality methyl ammonium lead iodide (MAPbI₃) films. Compared to films without additives, the deposited MAPbI₃ films exhibited larger grain sizes and improved (110) crystal orientation. The planar PSC devices fabricated using an additive achieved a maximum efficiency of 13.47 %, with an average efficiency higher than that of devices without additives, around 8 %.