Tong Cui’s research while affiliated with Chinese Academy of Sciences and other places

In the context of global population growth and energy scarcity, building energy consumption has become a critical issue with implications for the sustainable development of human society. Winter heating consumption constitutes a large portion of total energy used in buildings, especially in regions with cold climates. This paper employs the degree-day method to analyze the energy consumption of central heating in northern Chinese cities. The study sample consists of 60 target cities, including 30 located in severe cold regions and the remaining 30 in cold regions. By utilizing heating energy consumption and climate data from 2019, the relationships between heating intensity (kWh/m2) and heating degree days (HDDs) are established for the selected cities. Additionally, statistical analysis and model comparisons are conducted. The results show strong positive correlations between heating intensity and HDDs in both severe cold regions and cold regions, with the actual heating base temperatures for the two regions being 21 °C and 22.3 °C, respectively. Moreover, the deviation index of heating intensity is introduced to analyze the energy consumption characteristics of central heating in northern cities from three perspectives: city size, level of heating development, and geographical regions. The analysis suggests that cities with large population, strong economies, and high levels of development exhibit better energy-saving performance. Lastly, several improvement suggestions are proposed to address the potential problems related to energy conservation of central heating systems in cities of northern China.

With the ability to generate forms with high efficiency and elegant geometry, to-pology optimization has been increasingly used in architectural and structural designs. However , the conventional topology optimization techniques aim at achieving the structurally most efficient solution without any potential for architects or designers to control the design details. This paper introduces three strategies based on Bi-directional Evolutionary Structural Optimization (BESO) method to artificially pre-design the topological optimized structures. These strategies have been successfully applied in the computational morphogenesis of various structures for solving practical design problems. The results demonstrate that the developed methodology can provide the designer with structurally efficient and topologically different solutions according to their proposed designs with multi-filter radii, multi-volume fractions, and multi-weighting coefficients. This work establishes a general approach to integrating objective topology optimization methods with subjective human design preferences, which has great potential for practical applications in architecture and engineering industry.

Protecting representative natural ecosystems, rich biodiversity, and unique natural landscapes are the main considerations in China’s national park planning. Here, we mapped the distribution of China’s natural landscapes and evaluated their protection values for national park planning and construction. Grading evaluation methods combining standard comparison, inventory method, and expert consultation were used, and four levels of natural landscapes were identified. Furthermore, priority areas for national parks establishment were also proposed. Of all the landscapes evaluated, 76 were extremely important, 481 were important, 2070 were moderately important, and 1213 were slightly important. A total number of 67 priority areas for natural landscapes were identified with a total area of 1,218,000 km2. They comprised land and sea areas of 1,148,000 and 69,000 km2, respectively. We suggest strengthening natural landscape protection by establishing natural parks in priority areas. Our study will contribute to the effective protection of natural landscapes in China.