Configuring distributed synchronous condensers in renewable energy collector stations is a viable approach to mitigating transient overvoltage at grid connection points. Traditional distributed synchronous condenser’s location and capacity selection strategies are mostly based on fixed output scenarios of renewable energy, ignoring the randomness of wind and solar power output at each node, making it difficult to ensure the effectiveness and adaptability of the strategy. In view of this, the maximum grid connected power of renewable energy based on confidence intervals was estimated. A multiple renewable energy stations short circuit ratio index that takes into account the randomness of renewable energy is proposed to quantitatively evaluate the voltage support strength of each node in the power grid. Based on this, a distributed synchronous condensers location and capacity determination strategy is formulated. Simulation results demonstrate that the proposed strategy can accurately ide.jpgy nodes with weaker voltage support capabilities under actual fluctuations of renewable energy outputs. Compared to conventional strategies, it proves more effective in suppressing transient overvoltage in the sending-end system, offering technical support for large-scale renewable energy integration into power grids.

With the global awareness of energy conservation, emission reduction and environmental protection, green building has become the development trend of the future construction industry. As an integrated design management tool, BIM(building information modeling) technology provides strong technical support for green building design. Based on this background, the application capability of BIM technology in the field of green building design and its impact on improving the sustainability of green building design were explored.The BIM application ability evaluation index system was established, then entropy weight method was adopted to assign weight, and fuzzy comprehensive evaluation method was used to evaluate the BIM application ability of a green building design team. Specific suggestions are put forward.

Aiming at the current carbon emission problem in the construction industry, a new type of high sound insulation assembled partition wall system is proposed. The system aims to respond to the national energy conservation and carbon reduction policy, improve construction efficiency, reduce costs, and reduce the generation of construction waste by optimizing the internal wall system. The research method the combination of experiment and simulation were adopted to verify the comprehensive performance of the system through laboratory test and field application. System design and material selection were explored, sound insulation performance test were conducted, and comparative analysis with traditional masonry and finished wall panels were carried out, which aims to promote the green and low-carbon transformation of the construction industry, and provide technical support for the sustainability of the economic structure.

Under the background of the construction of the digital twin Yellow River, the applicability of various intelligent devices as the basic components of the three-dimensional monitoring and perception system of the digital twin Yellow River, namely the integrated intelligent monitoring and perception system of “outerspace- sky-ground- water”(OSSGW) was studied. Using the device end as the target layer, a feature index layer was established to evaluate the cost-effectiveness and applicability of the device. The feature index layer includes three secondary evaluation dimensions, namely performance, economy, and usability, with a total of eight index factors. Six levels of index factor assignment criteria were established, and an index layer assignment matrix was created. Then, the entropy method is used to calculate the weights of each index factor, and the TOPSIS(technique for order preference by similarity to ideal solution) method was used for comprehensive applicability calculation to obtain the scheme layer, providing decision support for equipment selection.

In order to realize the prediction of safety risks for working in electric confined spaces, considering four risk sources including personnel, tools, environment,and management,the safety risk weight of different sources was calculated using analytic hierarchy process, meanwhile the actual safety conditions of risk sources were judged by subjective evaluation. Based on that, the final operating condition risk assessment method score was obtained by adjusting the initial LEC score. In particular, for environmental risk, the method assessed coupling risks from multiply kinds of toxic and harmful gases. A case study in electric confined spaces shows that the method is highly operable, presenting accurately quantitative evaluation on work risk level.

The social discount rate (SDR) is a critical parameter of investment appraisal and alternative scheme comparison. Through solving stochastic differential equation, a reference formula of measuring the SDR was presented by means of the equivalent return on stock investment and the long-term interest rate. With the data of the main western economies for set by some countries concerned,the SDRs are checked to match the results of the calculation. Such a test proves the feasibility of this approach. In the process of empirical analysis, it is found that there is the quadratic nonlinear regression correlation between the interest rate and the inflation rate, which raises question on the traditional linear rule of determination of the interest rate.

With the rapid development and transformation of the global economy, digital inclusive finance, as an important direction of new quality productivity, has a profound impact on the traditional mode of financial services and the vitality of regional markets, and provides new impetus and possibilities for the progress of urban technological innovation. Using the data of provincial level from 2011 to 2021, the two-way fixed effect model was used to empirically study the relationship between digital inclusive finance and urban technological innovation, and further analyze its mediating effect from the perspective of industrial structure. The results show that digital inclusive finance significantly promotes urban technological innovation, mainly by improving the industrial structure to enhance the urban innovation capacity. Based on the conclusions, some suggestions are proposed to help further anchor the goal of building a financial power and solidly promote high-quality economic development.

As the foundation of information industry, integrated circuit industry has become an important symbol to measure the comprehensive competitiveness of a country or region. Based on the statistical data of QI CHA MAO and PatNavi, quantitative analysis method was used to analyze the positioning of Hangzhou integrated circuit industry from two dimensions of enterprises and talents. The research shows that there are some problems in the integrated circuit industry in Hangzhou, such as the small scale of enterprises and the need to strengthen the introduction of high-end talents.Finally, based on the above analysis, the development and cultivation path of Hangzhou IC industry is formulated from three dimensions: enterprise, talent and collaborative innovation.And put forward policy suggestions.

With the increase of existing buildings, the comprehensive renovation of existing buildings plays an increasingly important role in reducing global energy consumption and carbon emissions. By analyzing the passive technology, active technology and renewable energy technology of the existing carbon reduction renovation, the application forms of the three types of technology strategies were summarized, and their differences in carbon reduction benefits in different types of renovation such as office buildings, teaching buildings and residential buildings were compared and analyzed. On this basis, the problems existing in the current low-carbon renovation technology strategies are put forward, which will provide theoretical reference for carbon reduction renovation of existing buildings and related research.

Based on the bibliometric software CiteSpace, the knowledge graph visualization analysis of 1 537 articles on supply chain network optimization sourced from the core library of the Web of Science (WoS) database from 2001 to 2023 was conducted to explore the research overview, hot spots and trends. It is found that there are many researchers and institutions in this field, and Chinese scholars have made significant contributions. The hot topics in this field are robust optimization, facility location, sustainability, etc. The future trend is multi-objective optimization, construction of sustainable supply chains and combine new technologies such as 5G networks, block chain, and a.jpgicial intelligence to help supply chain network optimization.