Search

Copyright of Precious Metals / Guijinshu is the property of Precious Metals Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem of high volatility and intermittency of new energy-containing power systems, which affects the prediction accuracy of carbon emissions, we study the adaptive prediction method of carbon emissions of a new energy-containing power system based on a least-squares support vector machine. The carbon emission coefficients of the nodes of the new energy-containing power system are determined based on the trend analysis method. Historical carbon emissions and carbon emission coefficients of the power system are collected, and the rough set method is used to simplify the carbon emission attributes and obtain a simplified attribute set for carbon emission prediction. The least-squares support vector mechanism is used to construct the carbon emission prediction model, and the simplified attribute set is used as the input of the carbon emission prediction model. The whale optimization algorithm was selected to determine the optimal parameters of the least-squares support vector machine through the process of encircling prey, hunting behavior, searching for predation, and adaptively optimizing the least-squares support vector machine to output carbon emission prediction results. The experimental results show that the method can accurately predict the carbon emissions of the power system, and the mean square error of the carbon emissions prediction is lower than 7. [ABSTRACT FROM AUTHOR]

To determine the ES allocation based on a specific number of EVs connected to a combined WPESS, this paper develops an ESS allocation model that considers the impact of EV charging behavior on LSD, ES allocation cost, new energy utilization rate, and self-power rate. First, several scenarios are generated using Monte Carlo sampling (MCS), and a typical day is selected through Backward Reduction (BR). Next, the Monte Carlo method is employed to generate conventional EV charging curves and optimize EV charging behavior by considering LSD and user charging costs. Subsequently, an ES capacity allocation model is developed, considering system costs, new energy utilization rate, and self-power rate. Finally, an improved triangulation topology aggregation optimizer (TTAO) is proposed, incorporating the logistic map, Golden Sine Algorithm (Gold-SA) strategy, and lens inverse imaging learning strategy. These enhancements improve the algorithm's ability to identify global optimal solutions and facilitate its escape from local optima, significantly enhancing the optimization effectiveness of TTAO. The analysis of the calculation example indicates that after optimizing the charging behavior of EVs, the average daily cost is reduced by 204.94, the self-power rate increases by 2.25%, and the utilization rate of new energy sources rises by 2.50%, all while maintaining the same ES capacity. [ABSTRACT FROM AUTHOR]

Coastal cities have the natural resource endowment and location advantages to develop new energy. However, heterogeneity in the economic development of China's coastal cities has led to differences in the outcomes of environmental regulatory policies and related programs. To elucidate the difference, this paper obtained 5074 clean development mechanism (CDM) projects, which serves as a key instrument of the Kyoto Protocol designed to assist developing countries in achieving sustainable development through project-based emissions reductions and conducted a causal identification through quasi-experiment. And DID as well as DDD models are applied to identify the CDM effects on cities' economic development. Main findings are: (1) Through the DID regression, this paper finds that the development of CDM projects have promoted the development of the city's economy and lead to the upgrading of cities' industries. (2) The promoting effects in economic development and employment are more prominent in coastal cities with high levels of economic development. (3) CDM can better facilitate economic development and employment in less developed coastal areas when implemented in conjunction with economic promoting policies. By applying quasi-experimental methods, including DID and DDD models, the research introduces a novel approach to assess the causal effects of CDM projects on city economies, offering fresh insights into sustainable development policies. [ABSTRACT FROM AUTHOR]

A large-scale integration of photovoltaic (PV) systems can degrade the stability of the power grid. Therefore, it is important to accurately predict the short-term output power generated from PV systems to achieve better grid power distribution and allocation. For this reason, a short-term PV power prediction model that uses the data collected from temperature sensors, irradiance sensors, and other relevant sensors was proposed, in which an improved dragonfly algorithm (IDA) was applied to optimize the support vector machine (SVM). First, the output power curves of PV systems under sunny, cloudy, and rainy conditions were analyzed to determine the input variables of the prediction model, which included temperature, relative humidity, and solar radiation intensity. Second, the original dragonfly algorithm in the optimization process was improved, and then, this IDA was utilized to optimize the parameters of SVM, enhancing the predictive capability of the model. Finally, the IDA-optimized SVM (IDA-SVM) model was applied to predict the PV output power. Test performance results demonstrated that the average absolute percentage errors of IDA-SVM were 2.42, 5.96, and 7.44% for sunny, cloudy, and rainy days, respectively, outperforming other comparative models. The performance results showed that the proposed model can not only improve the stability of PV integration, but also effectively increase the penetration rate of PV energy and enhance the reliability of power system operation. [ABSTRACT FROM AUTHOR]

PetroChina Southwest Oil & Gasfield Company is making every effort to promote the construction of national natural gas (shale gas) production base with a capacity of billions of cubic meters, facing the dual challenges of green and low-carbon transformation and achieving dual carbon goals, it urgently needs to promote the deep integration of natural gas and new energy development. To this end, the resource foundation of integrated development is analyzed, the ideas and exploration process of past integrated development are summarized, and the three challenges currently faced are clarified: poor internal resource endowment and difficulty in obtaining external resources; new technologies and equipment are not mature enough, and there is a deviation in economic benefits; lack of systematic understanding and insufficient utilization of new business resources. On this basis, a path idea for the deep integration of natural gas and new energy is proposed: to develop wind, solar and geothermal businesses in an orderly manner within the region and focus on outside the region; vigorously develop characteristic businesses such as residual pressure power generation, associated resources, CCUS, hydrogen energy; explore the development of new track businesses such as underground space utilization and biogas. Finally, four suggestions are proposed: based on the current situation, focusing on the future, take into account overall economic considerations; considering the growth potential of the business and the need for technological iteration, orderly promote the industrial scale from small to large; cultivate market competitiveness awareness, deepen cooperation and communication, and jointly promote industrial development; innovate mechanisms and explore various mechanisms and models to support industrial development. [ABSTRACT FROM AUTHOR]

During China's industrial transformation, studying risk spillover effects and clarifying risk contagion pathways within the new energy industry chain is critical for promoting high-quality development in the new energy. The risk transmission mechanism of the new energy industry chain is explored by constructing a time–frequency index using a time-varying parameter vector autoregressive model in this paper. Additionally, we also further analyze the portfolio and hedging effectiveness of the new energy market. The findings reveal that, first, the downstream market serves as the primary risk source, propagating risk through the industry chain to the midstream and upstream sectors within the new energy industry chain contagion system. Second, the risk spillover effect of the new energy market has significant heterogeneity and time-varying due to the impact of short-term frequency domain drivers and extreme events. Third, the portfolio significantly reduces the investment risk of a single asset. With the extension of the investment horizon, investors' portfolio weights in the upstream, midstream and downstream industries gradually tend to be even. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas & Oil is the property of Editorial Department of Natural Gas & Oil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power is the property of Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper analyzes the economic, social and political three-dimensional driving effects of new energy substitution for fossil energy under the joint action of market, government and international competition from three perspectives: profit motive, mutual benefit and responsibility motive, combined with the relevant data of 78 countries from 1965 to 2021. The results show that fossil energy prices and energy security positively influence the process of new energy substitution, and environmental pollution negatively affects the process of new energy substitution, and the pushback effect of energy security on new energy substitution is more significant in the study interval, indicating that at the beginning of the new energy revolution, global environmental governance and willingness to reduce emissions drive the development of new energy industry, but the "carbon emission reduction" of each country has increased the complexity of new energy substitution, especially in some developed countries in taking responsibility for global environmental governance divergent views. Further heterogeneity analysis reveals that each country's energy strategy affects the degree of substitution of "quality" and "quantity" of new energy, and the speed, areas and corrective ability of new energy development vary among countries under different strategic choices. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ObjectivesTraditional electric energy storage has limitations in scale, duration, and environmental impact.Moreover, the renewable energy absorption capacity in the microgrid is low, and low-carbon and economy cannot be taken into account in planning. In order to solve the above problems, based on the basic working principle of hydrogen energy storage, hydrogen energy storage was incorporated into the microgrid instead of traditional electric energy storage, and a low-carbon and economic synergy bi-level optimization configuration model of microgrid with hydrogen energy storage was established.MethodsThe upper-level planning model aimed at minimizing the comprehensive equivalent annual value of the microgrid, based on the joint operation of electricity and hydrogen. The carbon trading mechanism was introduced to plan the capacity of various power generation equipments in the microgrid, which can enhance the low-carbon of the system. The lower-level operation model aimed to minimize the sum of the absolute values of the difference between the new energy output and the load demand. The model also encouraged users to adopt diversified demand-side response behaviors with the goal of accurately tracking the new energy output curve, and feeded back the user’s energy consumption behavior to the upper-level model to optimize the load curve. On the basis of improving the absorption capacity of new energy, the system economy is further improved, deeply exploring the synergy between the low-carbon and economic characteristics of microgrids.ResultsThe simulation results of microgrid in a certain industrial park show that the proposed method yields a planning scheme with excellent low-carbon and economy. Compared with the traditional planning method, the low-carbon and economy are improved by 53.6% and 37.1%, respectively.ConclusionsThe model presented in this paper not only enhances the capacity for new energy absorption but also further improves the system economic performance. It achieves a synergistic enhancement of the microgrid low-carbon and economy.

Abstract Aiming at the problem of high volatility and intermittency of new energy-containing power systems, which affects the prediction accuracy of carbon emissions, we study the adaptive prediction method of carbon emissions of a new energy-containing power system based on a least-squares support vector machine. The carbon emission coefficients of the nodes of the new energy-containing power system are determined based on the trend analysis method. Historical carbon emissions and carbon emission coefficients of the power system are collected, and the rough set method is used to simplify the carbon emission attributes and obtain a simplified attribute set for carbon emission prediction. The least-squares support vector mechanism is used to construct the carbon emission prediction model, and the simplified attribute set is used as the input of the carbon emission prediction model. The whale optimization algorithm was selected to determine the optimal parameters of the least-squares support vector machine through the process of encircling prey, hunting behavior, searching for predation, and adaptively optimizing the least-squares support vector machine to output carbon emission prediction results. The experimental results show that the method can accurately predict the carbon emissions of the power system, and the mean square error of the carbon emissions prediction is lower than 7.

Rural energy plays an important role in realizing the goals of “carbon peak” and “carbon neutrality” in China. In this paper, the countryside was regarded as the research object, and the rural energy internet was constructed to study the impact of rural energy development on rural carbon emissions. The most advanced energy and informative technologies in the development of rural energy were introduced from three perspectives, including rural living, rural planting and rural breeding. The benefits of rural energy internet in practical application, including energy and carbon benefits, were presented through three application cases. In general, a low-carbon, digital and intelligent rural energy will be developed, and the goals of “carbon peak” and “carbon neutrality” will be achieved by constructing and applying of rural energy internet in China.

ObjectivesThe large-scale penetration of wind power has reduced the frequency regulation capability of the power system to a certain extent.As a relatively mature and effective technical means, the energy storage system is widely used in power grid frequency regulation. Therefore, the response process and optimal configuration of energy storage system (ESS) participating in power grid frequency regulation under the control of virtual synchronous generator were studied.MethodsBased on the simulation software DIgSILENT/PowerFactory, an ESS control model and typical power system were constructed to analyze the frequency response characteristics of the grid before and after the ESS participation. Furthermore, considering the reserve capacity of wind turbines under different output modes, the configuration results of the ESS were optimized by dividing the wind speed range and determining the wind turbine power reserve coefficient, so as to realize the adaptive adjustment of the frequency regulation coefficient of the ESS.ResultsThe investment of the ESS can effectively improve the frequency response and reduce wind curtailment of the system. By reserving the frequency regulation capacity of wind turbines reasonably, the ESS can provide reliable power support for the power grid.ConclusionsThe self-adaptive adjustment method of the frequency regulation coefficient of the ESS based on the wind speed and the output power of fans can effectively reduce the overshoot and the output power of the ESS while meeting the frequency regulation requirements, thereby extending the working time.

Promoting the application of new energy technologies in marine ports is an important way to realize the carbon peaking and carbon neutrality goals and achieve the sustainable development of ports in China. This study summarizes the current situation and trends of energy consumption in marine ports of China and analyzes the basic attributes of the application of new energy technologies in marine ports from three dimensions: economical efficiency, demand, and maturity; it involves ffshore wind power, photovoltaic power generation, hydrogen energy, tidal energy, and biomass energy. Factors that constrain the application of new energy technologies in China’s marine ports are further discussed from three aspects: technology, economical efficiency, and technological policy. Our research indicates that the mismatch between the development level and application needs of new energy technologies, lack of centralized technology-developmentplatforms, inadequate profit models, and imperfect standards and policies collectively constrain the application of new energy sources in marine ports of China. Therefore, we propose the following suggestions: (1) establishing a collaborative research and development system for key core technologies to overcome technical difficulties and reduce application costs, (2) issuing guidance on multi-energy integration networks for ports to establish a multi-energy-complementary energy supply system, (3) optimizing the incentive mechanism for the application of new energy technologies in ports to enhance the enthusiasm of ports to apply new energy sources, and (3) improving the standards and norms for renewable energy application in ports to build a novel energy-storage supporting mechanism.

The integrated development of coal and new energy sources is crucial for the smooth transition of China’s energy system and the security and stable supply of energy. Considering China’s resource endowment and its demand for energy supply security and transformation, this study elaborates on the significance and fundamental conditions regarding the integrated development of coal and new energy sources. Moreover, it summarizes the major forms, technical characteristics, and application status of the integrated development from the aspects of four scenarios: integration of coal mining, coal-fired power generation, coal chemical industry, and carbon capture, utilization and storage (CCUS) with new energy sources. Emphasis is placed on five types of technologies: integration of coal development with new energy sources; combined dispatching of wind, solar, thermal, and storage; integration of solar thermal and coal-fired power generation; integration of solar thermal power generation with CCUS; and integration of green hydrogen with the coal chemical industry. Furthermore, this study explores the key technological challenges and breakthrough directions, and proposes the following suggestions: (1) incorporating the integrated development of coal and new energy sources into national strategies; (2) formulating action goals and roadmaps to systematically support the integrated development; (3) strengthening the research and development of technologies regarding coal and new energy sources; and (4) improving fiscal, financial, and talent support policies related to the integrated development.

The uncertainty of wind power output and the difficulty of power storage restrict the development of new energy. As a high-quality secondary energy, hydrogen energy is green and pollution-free and has a high energy density. In order to cope with the volatility and randomness of new energy output, this paper proposes a multi-time scale probabilistic production simulation method for wind-solar hydrogen integrated energy system considering hydrogen storage. First, thermal energy recovery is considered in the hydrogen storage system model, and the wind-solar hydrogen integrated energy system model including electrothermal hydrogen multiple energy storage is constructed. Then, multi-time scale probabilistic production simulation is conducted for the wind-solar hydrogen integrated energy system, and the system maintenance arrangement and hydrogen storage seasonal distribution scheme are obtained through medium and long-term production simulation. The simulation results are taken as the boundary for short-term production simulation to achieve the cooperation of electrothermal hydrogen multiple energy storage and to smooth the random fluctuation of wind and solar power. Finally, an IEEE-RTS79 node example is given to verify that the proposed method can improve the reliability, flexibility and low-carbon feature of system operation.

Based on the policy text from 1999 to 2022, this paper quantitatively analyzes photovoltaic power, wind power and new energy policies in mainland China by keyword capture and policy strength and establishes a spatial Durbin model to study the carbon reduction effects. The results show the following: (1) The development of new energy is primarily project-based and concentrated in rural areas. (2) Financial support is a double-edged sword. (3) After the implementation of the Renewable Energy Law in 2015, the change trend in policy quantity, total policy intensity, and average policy intensity is generally consistent. (4) The increase in the strength of new energy policies has effectively reduced the intensity of provincial carbon dioxide emissions. (5) New energy policies introduced in a single region are less effective in reducing carbon emissions than joint regional regulation. Therefore, it is necessary to improve the quality and coordination of new energy policies through the effective convergence of policies and regular evaluations to enhance the positive guidance of the policies. Policy measures for new energy are refined in three areas: improving the amount and quality of new energy policies, strengthening new energy policies and establishing cooperation mechanisms for the cross-regional consumption of new energy. [ABSTRACT FROM AUTHOR]

The achievement of the "dual carbon" goal is closely tied to the widespread implementation of renewable energy, however, renewable energy generation is characterized by intermittency and volatility. Advanced energy storage technology plays a crucial role in mitigating the fluctuations of new energy sources and enhancing their absorption capacity. Patents serve as important indicators of technological innovation, directly reflecting current research trends and future directions in energy storage technology. This paper primarily relies on the "WIPO IP Portal" website provided by the World Intellectual Property Organization to analyze the comprehensive strength of eight leading countries including the United States, China, France, the United Kingdom, Russia, Japan, Germany, and India. The analysis focuses on various energy storage technologies with statistics on patents issued by researchers or institutions from these countries. Additionally, this study examines China's current state of energy storage technology based on authorized patents and explores its future development trends across electric energy storage systems (EESS), mechanical energy storage systems (MESS), chemical energy storage systems (CESS), thermal energy storage systems (TESS), and hydrogen-based energy storage systems (HESS). It concludes that China's current focus lies in core components or materials research for efficient cost reduction aiming at large-scale commercial applications. Furthermore, how to integrate a variety of energy storage into a system to use renewable energy such as wind and light for power supply and heating will be the focus of interest in the future. [ABSTRACT FROM AUTHOR]

With the development of society, non-renewable energy such as oil and natural gas are gradually consumed and exhausted, and the energy crisis has become the biggest resistance to the development. Therefore, the development of New Energy (NE) has become an important issue for the Sustainable Development (SD) of modern society. Distributed NE system is the new direction of modern energy development. Therefore, higher requirements are put forward to improve the performance of distributed NE systems. The traditional NE system is relatively scattered and cannot be used intensively. There is no consensus among various NE systems, and the energy utilization is insufficient. It leads to a great waste of energy in the process of developing and using NE. The introduction of Blockchain Technology (BT) has contributed to solving many practical problems. BT can not only ensure the authenticity of data but also meet the requirements of high quality by taking advantage of its own characteristics of data tamperability and traceability mechanism. The Consensus Algorithm (hereinafter indicated by CA) in the blockchain ensures that the final results received by all participants are consistent and error-free through data synchronization, and distributed, consistency cooperation. The access of distributed NE solves the disadvantage that the traditional NE system cannot be used in a centralized way, to access NE more efficiently, conveniently, and quickly. In this paper, the distributed NE system was accessed based on the blockchain CA. By adopting BT and CA, a distributed NE system that was easy to access was established. The system could systematically deploy the existing developed NE and then make centralized use of it. This paper compares the efficiency, stability, and loss of access of the distributed NE system using the blockchain CA with that of the traditional distributed NE system. The results showed that the use of blockchain CA to access distributed NE could effectively utilize NE, and the efficiency of distributed NE access after using blockchain CA increased by about 28.8 %. At the same time, the experimental results showed that the access stability was high and the access loss was low. With the continuous development of NE, the blockchain CA would gradually become an important technical support in the energy field, thus promoting the overall development of the energy industry. [ABSTRACT FROM AUTHOR]

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To contribute to the realization of the goal of carbon peak and carbon neutrality, the non-polluting and sustainable nature of new energy sources such as wind, photovoltaic power, and energy storage has gained widespread attention, and new-energy distributed power generation technology is being applied on a large scale. Due to the high penetration, decentralization, and source–load uncertainty in new-energy distributed power generation, the traditional centralized regulation and control method struggles to meet the demand for scheduling flexibility in a distribution network. Hence, a cluster-optimization scheduling method for distribution networks considering source–load–storage synergy is proposed in this paper. Firstly, by using the comprehensive index of cluster-active power balance and electrical-distance modularity as the objective function, a simulated annealing algorithm is proposed to improve the genetic algorithm for solving a distribution network cluster division model. Then, based on the results of the distributed cluster segmentation, an optimal scheduling model is established, with the objective of minimizing the comprehensive operating costs by considering clusters as units. Inter-cluster power interactions are then used to reduce cluster operating costs and to meet intra-cluster power balance requirements by automatically setting time-sharing tariffs between the clusters. Finally, an IEEE33 node system is taken as an example for verification. The results show that the proposed distribution network cluster division method has better electrical coupling and active power balance and that the optimal scheduling method of clusters can effectively reduce the system operation costs. Hence, the method studied in this paper can increase the flexibility of regional distribution grid scheduling and the reliability of the power supply, reduce regional energy mobility to reduce energy consumption, improve the utilization efficiency of energy, and promote the sustainable development of new energy access to the distribution network. [ABSTRACT FROM AUTHOR]

Copyright of Power Generation Technology is the property of Power Generation Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the current global energy transition process, which is accelerating overall but with further uncertainty, the global oil and gas industry is showing four major trends: a shift in business structure from oil and gas dominance to multi-energy complementarity, a shift in market structure from globalization to differentiation between the Eastern and Western hemispheres, a shift in policy orientation from radical transition to orderly development, and an expansion of technological innovation from traditional to emerging fields. Governments of various countries and international oil companies have made adjustments to policies, strategic goals, implementation paths, and other aspects based on their own situations. China's oil and gas industry actively integrates into the historical process of global energy transition, and has achieved significant achievement in green transition development under the guidance of national strategy. Focusing on the upstream sector, stabilizing oil production and increasing gas production to support the continuous optimization of energy structure, accelerating the low-carbon transition of the oil and gas industry through the integration of new energy development, and technological innovation leading the forging of new quality productivity in the oil and gas industry. However, it still faces challenges from various aspects such as resources, economy, and technology. Based on China's basic national conditions and actively drawing on international experience, four suggestions are proposed to promote the green transition of the upstream petroleum industry. Namely, coordinate oil and gas supply security and green development, and firmly increase the exploration and development efforts of oil and gas both domestically and internationally. Based on the energy super basin, cultivate industrial clusters, and accelerate the integrated development of oil and gas and new energy according to local conditions. Play the role of technological innovation and policy guidance to promote high-quality development of traditional oil and gas and new energy industries. Enhance financial and tax support, accelerate the improvement of oil and gas supply capacity, and promote green development of upstream industries. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power is the property of Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Against the backdrop of the increasing development of the new energy industry, the volatility of new energy output poses significant challenges to regional power grid balance and energy absorption. Therefore, this article proposes a prediction method for cross regional transmission power fluctuations under new energy integration conditions. A comprehensive and representative sample dataset was constructed by comprehensively considering factors such as fluctuations in new energy output, capacity confidence, and peak shaving characteristic parameters, combined with numerical weather forecast data. Normalize the sample data to eliminate dimensional differences between parameters. The sparrow search algorithm is used to optimize the weights and thresholds of the double hidden layer BP neural network, effectively avoiding local optimization problems caused by over training. The experimental results show that this method has significant advantages in predicting power fluctuations in cross regional absorption and transportation of new energy, with a predicted power to power ratio of over 0.85. [ABSTRACT FROM AUTHOR]

Copyright of Smart Rail Transit is the property of Smart Rail Transit Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Integrated Intelligent Energy is the property of Editorial Department of Integrated Intelligent Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Integrated Intelligent Energy is the property of Editorial Department of Integrated Intelligent Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Integrated Intelligent Energy is the property of Editorial Department of Integrated Intelligent Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

At present, the power supply for peak shaving in Henan power grid accounts for a small proportion, which mainly depends on the deep regulation of thermal power units to meet the demand for peak shaving, affecting the safe and economic operation of the power grid. Pumped storage power stations are economically feasible peak shaving power sources, with a double peak shaving effect of peak shaving and valley filling. This article adopted the power optimization expansion planning model to optimize and compare different power supply schemes in the planning year, and analyzed the installed capacity of pumped storage power stations that met the electricity demand and peak shaving needs of the power grid. The results indicate that the construction of pumped storage power stations can effectively reduce the depth of peak shaving for thermal power units, reduce system coal consumption, and ensure the safe and economic operation of the power grid. [ABSTRACT FROM AUTHOR]

Objective Given the abundant lithium and bromium resources in the formation water of some gas fields in China, to clarify the comprehensive utilization value of gas field water development, the total resources of lithium and bromium are quantitatively calculated and evaluated. Methods Based on the comprehensive geological method, this paper innovatively proposes a new method for quantitative calculation of lithium and bromium resources for the developed gas field formation water(hereinafter referred to as gas field water). It calculates the industrial raw materials such as lithium carbonate and bromine that can be extracted from the whole gas reservoir in combination with the latest lithium and bromium extraction process. Results Firstly, W gas reservoir is a bottom water gas reservoir with a unified gas-water interface, with a total formation water reserve of 2.992×109 m³.Secondly, the mineralization degree constraint, well point area, and contour area balance methods were used to calculate the average content of lithium and bromine in the gas reservoir. As a results, it has been determined that the average mass concentration of lithium and bromium in gas field water is 114.8 mg/L and 181.7 mg/L, respectively. Thirdly, based on the water reserves and the content of lithium and bromium, the quantitative calculation of the total lithium content in gas field water is 0.343 5×106 t, and the total bromium content is 0.543 7×106 t. Fourthly, based on the content of lithium and bromium resources, it is predicted to extract 1.461 9×106 t lithium carbonate and 1.441 9×106 t bromine. Conclusions Based on the current development status of developed gas fields, combined with the utilization of new energy in gas field development, this article innovatively proposes a new method for quantitatively calculating lithium and bromium resources extracted from gas field water, providing certain guiding significance for the effective development and new energy utilization of similar gas fields at home and abroad. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Nanchang University (Engineering & Technology) is the property of Nanchang University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)