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High-quality development of new energy cannot be achieved without high-level utilization. Utilization rate has become a barometer to measure the effectiveness of new energy management. Through the joint efforts of government departments, power generation enterprises, power grid enterprises, and industry insiders and outsiders, new energy utilization rate has remained above 95% for many years, achieving high-level utilization during large-scale development. In the future, with the continuous increase in the penetration rate of new energy, maintaining high utilization rates presents significant challenges in terms of technology and cost. This paper utilizes the NEOS software independently developed by the State Grid Energy Research Institute to analyse the utilization of new energy in the future and proposes relevant policy recommendations for reasonable utilization rates.

To achieve the "carbon peak" and "carbon neutrality" goals, the power industry is the main battlefield and main force. Compared with the long carbon reduction path after natural peak in major European and American countries, the carbon peak, plateau period, and transformation path under the "dual carbon" goal in China will be completely different. This article establishes a multi-scenario analysis framework for the transformation path of the power industry under the "dual carbon" goal, and constructs three major scenarios. It analyses the low-carbon transformation path of power system including power source structure and carbon emissions under different scenarios and proposes policy recommendations.

Reduction of greenhouse gas (GHG) emissions for mitigating climate changes is globally necessary. As a major GHG emitter, refinery sector is responsible for 14.1% of China’s CO2 emission in 2019. The flue gas associated with petroleum refining has high CO2 content, presenting potentials for methanol and electricity co-production when the methane and hydrogen in dry gas are considered. To unlock the green opportunity for refineries, in this study we employed Aspen Plus to develop the process of methanol synthesis by recovering CO2 in the flue gas of fluid catalytic cracking (FCC) unit and the methane and hydrogen in dry gas. The results show that the new co-production process increases the energy efficiency of the FCC unit by 2.4%. Compared with traditionally natural gas-based methanol production, the developed process enables annual CO2 mitigation of 1.3 million tons.

This paper takes the influencing factors of peaking building carbon dioxide emissions as the research object, finds out 14 factors from 7 main bodies, including material suppliers, design units, owners, construction units, customers, governments and society and then analyzes the influencing factors of achieving the goal of carbon peak and carbon neutralization by using triangular fuzzy number, DEMATEL(Decision Making Trial and Evaluation Laboratory)and ISM (Interpreting structural models)methods. The results show that the formulation of relevant policies and regulations is the essential cause of peaking building carbon dioxide emissions; Low-carbon building materials, green logistics, green structure, low carbon energy consumption, low carbon construction party and contractor selection, low carbon operation, and low carbon technology innovation are the surface causes. The three factors that have a great impact on the target are consumer preference, formulation of relevant policies and regulations, and green building indicators. Finally, according to the research results, suggestions are put forward to achieve the goal of peaking building carbon dioxide emissions.

Digital transformation of enterprises is not only a choice to comply with the economic development trend, but also the use of digital technology to reduce costs and increase efficiency is a necessary path for enterprise development. Under the TOE framework, this paper takes digital technology, enterprise digital transformation and digital economy development level as the main variables. By constructing a PVAR model to incorporate the three into the same analytical framework, the dynamic interrelationship and the degree of influence between the three in the time series are empirically examined. The research results show that (1) digital technology, digital transformation of enterprises and the level of digital economy development are causally related to each other and have a mutually reinforcing influence. (2) There are inertia development and self-reinforcement mechanisms among the three variables. (3) Although the interaction among the three variables gradually decreases and tends to zero over time, it still has a strong lag. The research results enrich the dynamic relationship between digital technology, enterprise digital transformation and digital economy development, and provide strategic references for enterprise transformation and upgrading.

Promoting the green transformation of enterprises and helping to achieve the dual carbon goal. Based on the theoretical framework of “technology-organization-environment”. The paper constructs a model of the influencing factors of green transformation of heavy polluting enterprises. this uses the necessary conditions analysis method and qualitative comparative analysis method to explore the group effect of green transformation of heavy polluting enterprises with a sample of 514 listed enterprises. The results demonstrate that the green transformation of heavy polluting enterprises is not only a result of the green transformation, but also of the green transformation of heavy polluting enterprises. The results demonstrate that the green transformation of heavy polluting enterprises is not driven by a single antecedent condition. There are six groups of conditions for high level green transformation of heavy polluting enterprises, which are categorized as “scale-driven technology development”, “large-scale dynamic development” and “all-factor driven”. There are seven groups of conditions for the low-level green transformation of heavy polluting enterprises, and the two groups show asymmetry. There are obvious differences between the green transformation paths of state-owned enterprises and non-state-owned enterprises. The research findings provide a reference for the path of green transformation practice of enterprises.

The development of digital economy is conducive to empowering technological innovation and optimizing industrial structure, thus reducing the environmental pollution caused by industrial development. However, the development of digital economy also implies an increase in energy demand. Whether its impact on CO2 emissions is the same as or opposite to the Kuznets hypothesis in a “U-shaped” or “N-shaped” relationship, and whether there is a decoupling effect between the two, deserves further study. In this paper, we analyze the non-linear impact of digital economy on carbon emissions through literature research, and the possible decoupling relationship between the two. The decoupling is examined by two measures: velocity decoupling and quantity decoupling. In addition, the inter- and intra-regional variability of digital economy development and carbon emissions is analyzed through the Thiel index. The results of this study add to the empirical techniques and findings on the link between digital economy and carbon emissions, as well as provide theoretical references to support high-quality growth of digital economy and inter-regional cooperation in each region.

Mitigating greenhouse gas (GHG) emissions to curb climate change has become a consensus among international community. Refining is one of the major industries with high energy consumption and high emissions, which is responsible for 4-10% of global carbon dioxide (CO2) emissions and approximately 25% is generated by fluid catalytic cracking (FCC) units. The flue gas discharged from FCC units has a high CO2 content, presenting potential for methanol and electricity co-production production when the methane in the dry gas is considered. To unlock this green chance for enterprises, we designed a methanol production system that uses the CO2 recovered from the flue gas of fluid catalytic cracking (FCC) unit in a refinery and the CH4 separated from dry gas as feed stock (hydrogen to be added from an internal hydrogen production unit of the refinery). We analyzed economic feasibility of the process, the results show that the developed system is economically feasible for annual methanol yields of 1.0-2.5 Mt and the internal rate of return increases by 8.3%.

As one of the major energy-consuming and high-emission industries, the refineries account for 10% of global industrial carbon emissions, of which about 25% is emitted by fluid catalytic cracking (FCC) process. Therefore, CO2 capture from FCC flue gas create the possibility for low-carbon refineries. We developed a novel CO2 utilization process to methanol production modeling using Aspen Plus. Meanwhile, organic Rankine Cycle (ORC) power generation technology was coupled to recover the waste heat of the system. A five-million-ton FCC unit in China was selected as a case study. We conducted some analysis for the process, the results show that the developed system boosts the energy efficiency of the FCC unit by 2.8%. The annual capacity of the waste heat power generation unit is 4.8 GWh, with a thermal efficiency of 5.9%.

This paper adopts Sharepower solar floating photovoltaic power station unit. The structure is simulated and analysed, the strength of a single solar structure support is analysed, the photovoltaic array structure is analysed, and the rectangular and square structures with different wind directions are analysed.

This paper adopts Sharepower solar floating photovoltaic power station unit. The structure is simulated and analyzed, the strength of a single solar structure support is analyzed, the photovoltaic array structure is analyzed, and the rectangular and square structures with different wind directions are analyzed.

Microspheres are widely used as profile control and water plugging products at present. However, the current research on microspheres is mainly focused on oil displacement experiments. In order to solve this problem, based on the Bohai sea in the BZ of inhomogeneous reservoir conditions, this article has done the matching study on particle size and hole roar and the seepage research in porous medium by means of particle size analysis, pressure tests, single-phase block experiments, and the double tube parallel oil displacement experiments, revealing the characteristics of oil & water selective plugging and the mechanism of oil displacement in porous media. The results show that the average particle size of the microspheres increases from 4.857μm to 24.53μm, and the maximum expansion factor reaches 5.03 times after 72h of swelling in BZ25 oilfield water at 75 C. In the two-pipe parallel oil flooding experiment with the permeability of 1000mD and 3000mD respectively, the comprehensive recovery rate after the first water flooding is 28.06%, and the two-pipe average recovery rate is increased by 1.58% after the injection of 2000ppm microsphere with 0.3PV, and there is no significant increase in oil displacement efficiency. The comprehensive recovery rate reached 38.6% and increased by 8.99% after 4PV of subsequent water flooding, indicating that microsphere flooding effectively improved the water sweep efficiency of subsequent injection.

The monitoring system of rock mass stability and activity characteristic was established using the microseismic monitoring technology in view of the problem that the dynamic disaster of ground pressure was easy to occur in the process of deep mining. The monitoring network was set up according to the actual characteristics of the mine and the wave velocity was corrected by the method of fixed-point blasting. A monitoring network with a positioning error of 10 m was established finally. The waveform of the monitoring data was picked up and the temporal-spatial evolution characteristics of microseismic events were analyzed, the microseismic events increased greatly and in a high level, the spatial distribution was concentrated highly, the potential dangerous areas were delineated. The research results can provide references for the investigation of rock mass stability monitoring in underground engineering.

With the gradual deepening of National Rural Revitalization Strategy, investment, tourism of traditional natural villages has become a hot spot in recent years. Taking the traditional village renewal of the Longtan Village in Guizhou Province as an example, this paper uses the space syntax theory and method to establish axis model and horizon model by using Depthmap software to analyze the integration value, depth values, connection value and line of sight integration degree of Longtan Village street space, and to explore the method of scientifically and quantitatively guiding the project renewal and reshaping the vitality of traditional village street space.

The comprehensive pipe corridor could realize the unified planning and construction of electricity, gas and communication, save urban land resources and beautify urban landscape. However, due to the narrow space and numerous pipelines in the pipe corridor, once the power cable fired, it would cause serious losses. This paper presented a wireless infrared temperature measuring system for power cable in the comprehensive pipe corridor based on infrared temperature measuring and radio frequency communication technology. This system used STM32 as the development platform, used AM2301 infrared temperature sensor to collect cable temperature, transmitted data of each temperature measuring node to the data management center through ESP8266 wireless module, and finally transferred the data of the management center to the server through RS485 bus, realizing the functions of multi-node temperature collection and wireless data transmission. It was verified by experiments that the measurement error of the temperature monitoring system was within 0.5°C, which could monitor the node temperature in real time, and provide guarantee for the safe operation and fire prevention of power cables in the comprehensive pipe corridor.

After the carbon neutral target is proposed, China’s new energy will usher in a leapfrog development, and its volatility and randomness put forward higher requirements for the flexibility of the power system. Energy storage has strong flexible adjustment capabilities. With the continuous improvement of technology and economy in recent years, it has been promoted and applied in all aspects of the power system, and its value in improving system flexibility is gradually reflected. This paper satisfy the power balance system and new energy given perspective, aiming at the lowest cost of power supply, regional energy storage size optimization model is put forward, with a actual regional power grid as an example, has carried out empirical research, quantitative analysis of correlation between the development of new energy and energy storage scale and verify the model is scientific and accurate.

Aiming at the problem of gas control in the working face and the roadway to be excavated at the same time due to the small construction length of bedding borehole under the condition of the occurrence of soft coal, a technology of "one hole and two elimination" pre-drainage to eliminate gas outburst by using air screw motor drilling was put forward, and the field test was carried out in the 17102(3) working face of Pansu Coal Mine.The results show that this technology can effectively control the borehole trajectory, ensure the uniform and reasonable range of borehole outburst elimination, solve the problems of long gas treatment cycle caused by the construction of gas treatment roadway, improve the effective drainage time of borehole, ensure enough time and space for gas treatment, and be beneficial to the mining and replacement of mine.

According to different operating characteristics of pumped storage fixed speed unit and variable speed unit, a joint dispatching model of pumped storage unit and other types of units based on mixed integer linear optimization is constructed. The model takes into account the operating conditions, reservoir capacity, cycle type and other pumped storage unit constraints, but also consider the frequent start and stop and the stability of the operation of the unit caused by the loss. Using the Cplex solver to solve the model, the empirical example of the provincial power grid shows that the model can effectively arrange the pumping storage speed and the dispatching operation of the variable speed unit under the precondition of economic life of the unit, and give full play to the function of peak shaving and accommodating new energy. Because of its more flexible regulation characteristics of power generation and pumping conditions, the variable speed unit can better improve the operating conditions of other units in the system and promote the new energy dissipation.

In this paper, a power supply optimization model is proposed. The model takes the minimum fossil energy consumption as the target, considering the output characteristics of the conventional power supply and the renewable power supply. The optimal capacity ratio of wind-solar in the power supply under various constraints is calculated, and the interrelation between conventional power supply and renewable energy is analyzed in the system of high proportion renewable energy integration. Using the model, we can provide scientific guidance for the coordinated and orderly development of renewable energy and conventional power sources.

Aiming at Non-negative Matrix Factorization (NMF)’s problem of initialization and "local minima" in hyperspectral unmixing, a NMF linear unmixing algorithm with spatial correlation constrains (SCNMF) based on Markov Random Field (MRF) was proposed. Firstly, Hyperspectral Signal identification by minimum error (HySime) method was adopted to estimate the number of endmembers, initialized endmember matrix and abundance matrix by Vertex Component Analysis (VCA) and Fully Constrained Least Squares (FCLS) respectively. then established energy function to depict the spatial distribution characteristics of ground objects by MRF model. Finally, spatial correlation constraint based on MRF model and NMF standard objective function were combined in the form of altemating iteration to estimate endmember spectrum and abundance of hyperspectral image. Theoretical analysis and experimental results indicated that, the endmember decomposition precision of SCNMF is 10.6% higher than that of Minimum Volume Constrained NMF (MVC-NMF), 12.3% higher than that of Piecewise Smoothness NMF with Sparseness Constraints(PSNMFSC), 14.1% higher than that of NMF with Alternating Projected Subgradients(APS-NMF); the abundance decomposition precision of SCNMF is 14.4% higher than that of MVC-NMF, 15.9% higher than that of PSNMFSC, 15.3% higher than that of APS-NMF.The proposed SCNMF can remedy NMF's deficiency in describing spatial correlation characteristics, and decrease spatial energy distribution error.

The simulation of cable harnesses is challenging due to the complex structure and the large deformation during the assembly operations. In this paper an improved mass-spring model is approached to simulate the shape of cable harnesses and to calculate the deformation of cable harnesses. Based on a virtual software platform Open Cascade and using Newmark-β algorithm which could reduce the instabilities of equation, the simulation is completed. Then, a cable geometry measurement bench with the 3D laser scan technology is construed to verify the accuracy of the algorithm. The result shows the model could simulate the deformation very well.