bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island
Authors: Azzam Abdullah , Susilo Setyo Budi
Published: May 2024

Many algorithms have been developed to map shallow waters from satellite images, but there is no standard algorithm for all waters. The accuracy of the algorithms developed for each body of water has a different level of accuracy. This research aims to use the Stumpf and Lyzenga algorithms to estimate shallow water bathymetry mapping in Kelapa Dua Island. Shallow water bathymetry mapping with both algorithms uses a combination of blue-green bands from Sentinel-2A satellite image data. In addition to Sentinel-2A satellite image data, the data used in this research are depth, water clarity, and tide data. Satellite image processing includes pre-processing, algorithm application, and fit testing. The fit test through determination test and root mean square error analysis was used to see the level of fit of the shallow water bathymetry model. The analysis shows that the log-ratio transform algorithm tends to be better at mapping bathymetry in Kelapa Dua Island, Kepulauan Seribu with a coefficient of determination (R2) of 0.56 and an RMSE of 0.648, while the log-linear transform algorithm has a coefficient of determination (R2) of 0.54 and an RMSE of 0.742. The depth of shallow water on Kelapa Dua Island is in the range of 0 7 m depth.
Bathymetry mapping with empirical bathymetry method based on sentinel application platform case study: Bawean Island, Central Java
Authors: Ananda Putra Suardana A. A. Md. , Thayyib Achmad Umar , Setiawan Kuncoro Teguh , Prasetio Wiji , Marpaung Sartono , Febrianto Sigit , Kusuma Fajar Bahari , Anggraini Nanin , Sutanto Ahmad , Priyambodo Dino Gunawan
Published: May 2024

Bathymetry information is an important requirement for the marine and fisheries sector in Indonesia. However, the acquisition of information is done in the traditional way, namely surveys using single/multibeam echosounder devices carried by ships. This method was inefficient, especially to cover a wider area. The development of remote sensing technology can be a solution and has become a source of data for satellite-derived bathymetry (SDB). One of the areas of concern in this research is the eastern waters of Bawean Island located in the Java Sea. This research uses the SNAP method to determine the results and accuracy of bathymetry mapping in shallow sea waters east of Bawean Island. This method is generated from regression modeling between spectral values of satellite image data and in-situ depth data. The satellite data used is the Sentinel-2A image recorded on December 9, 2022. The results showed that the Sentinel-2A satellite can produce depth information up to 27.9 meters. The coefficient of determination, R2, is 86%, and the confusion matrix accuracy value is 75.21%.
Geospatial analysis for prediction of potential fishing zones in the Banggai Waters using hydroacoustic data and satellite remote sensing
Authors: Rabbi Muhammad Fiqri Abdi , Manik Henry M. , Somantri Lili , Priatna Asep , Jaya Indra
Published: May 2024

Banggai waters are a strategic area rich in fish resources and a source of livelihood for most of the local population. Mapping fish stocks is important to ensure the sustainability of fishing in the area. One of them uses hydroacoustic data and satellite imagery to provide more comprehensive results on fish stocks and more accurate predictions of potential fishing zones. This study will spatially estimate fish density in Banggai waters using hydroacoustic data and investigate the distribution of chlorophyll-a and sea surface temperature using Himawari-8 imagery. Hydroacoustic data processing will produce target strength (TS) and volume backscatter strength (Sv) values to determine the value and distribution of fish density. Meanwhile, ZPPI results are obtained from the overlay of chlorophyll-a and sea surface temperature. From the results of mapping the potential fishing zone, the high category has the highest percentage of 43%, low 28% and medium 29%. The ZPPI point distribution map then shows the concentration of ZPPI points in the southern Banggai waters. The fish density distribution map shows that the spatial distribution tends to be around the coast of Banggai Peninsula, dominated by small and very small fish categories. Correlation of fish density point distribution with ZPPI results and oceanographic parameters has a positive influence on fish density from GAM modelling.
Mapping shoreline changes using Landsat Imagery at Pemalang, Central Java Province, Indonesia
Authors: Panjaitan James P. , Maulana Febri
Published: May 2024

Pemalang Regency possess sloping geographical with shallow waters, it’s potential to increase the area for pond fisheries and coastal tourism. This utilization causes changes in the coastline, which influenced by mankind and natural factors. The study aims to map shoreline changes in Pemalang, Central Java from year 2007-2022 using imagery of Landsat 7 ETM+ and Landsat 8 OLI/TIRS. The Digital Shoreline Analysis System (DSAS) method was performed to calculate rate of change statistics for a time series of shoreline vector data. This method uses parameters, including baselines, shorelines, and transects. The DSAS results in the year 2007-2022 shoreline change (NSM) and the 15-year mean shoreline change (EPR). All subzones occurred abrasion. Subzone D2 occurred greatest abrasion (- 442.43 m). Subzones undergoing accretion include A1, A3, B1, B3, C2, C3, D1, D2, E2, and E3. The largest accretion occurs in A3 (333.05 m). Pemalang Beach in the year 2007-2022 occurred a change in coastline dominated by abrasion. The largest abrasion is in A3 (-2.39 m/year) and the smallest is in A2 (-1.89 m/year). The abrasion factors are the sloping beach, land use as tourist area, mangroves that are not maintained, and the flooding in May 2022. The changes in the coastline that have occurred are severe up to very severe.
Reproductive performance of the fluted clams (Tridacna squamosa) through different serotonin hormone doses for spawning induction
Authors: Putra Yosi Pramana , Soelistyowati Dinar Tri , Maulana Fajar
Published: May 2024

Exploring the reproductive performance one of the giant clam species being cultured in Indonesia. The fluted clams (Tridacna squamosa) are a keystone species for Indonesia’s marineculture and restocking program, categorized as a protected commodities by Convention on International Trade in Endangered Species (CITES) due to anthropogenic pressure on wild population. To assess and improve their reproductive performance, induction of different serotonin was applied consisting of control (0 mM), T1 (1.1 mM), T2 (1.4 mM), and T3 (1.7 mM). New significant insights emerge, results indicate response’s time of pre-spawning T1 and T2 were approximately 45 s, while T3 was 60 s, respectively T2 is highest spawning success at 91.67%, contrasting with 50% by T3, also spawning latency varied, with the quickest gamete release (3 min) by T2, on the contrary T3 (4 min). Observed eggs released at approximately 24 min (T2), 84 min (T1) with an egg diameter of 128.72±1.56 μm yet absent in T3. Polynomial regression of fecundity from differential dosing approach attained an R² = 0.3885, highlights an optimal 1.36 mM dosage for maximizing spawning performance, indicating T2 as an adequate dose with moderate egg abnormalities 8.7% and. FR, HR, and SR ranged from to 70-80% respectively.
Stability of shark (Centrophorus sp.) liver oil rich in squalene as an immunostimulant
Authors: Suseno Sugeng Heri , Nugraha Roni , Nurjannah Farah , Ramadhan Wahyu , Arifah Aninda Umu , Adha As Syaffa Amalia
Published: May 2024

Shark liver oil has been widely produced in Indonesia; however, many shark liver oil products still do not meet the established standards. This research involves the addition of antioxidants to stabilize the oil as an effort to extend its shelf life. The objectives of this study were to determine the immunostimulant activity, assessed the synergistic effect of vitamin E in shark liver oil rich in squalene, and identified the optimum concentration of the antioxidant vitamin E in maintaining its stability. Immunostimulant activity was tested by observing spleenocyte proliferation, phagocytic index, and capacity in the peritoneal cavity cells of mice. The stability of the oil was examined by an accelerated method using an oven, what was called the schaal oven test at 40 °C. The research results indicate that shark liver oil possesses immunostimulant effects; however, with an increasing dosage of fish oil, there is no significant improvement. The presence of vitamin E in cod liver oil exhibited a synergistic effect on spleenocyte proliferation for all dosages, while the phagocytic index and capacity at a dosage of 100 μg/mL showed synergy. However, at a dosage of 50 μg/mL, the phagocytic index and capacity did not exhibit synergy with the immunostimulant. The optimal concentration of the antioxidant vitamin E in maintaining oil stability was found to be 100 ppm.
Water Statistical Survey and Data Application- Analysis and Practice Based on Zhejiang Province
Authors: Liang Xiao , Chen Hui , Zhou Pengcheng , Wang Lu
Published: May 2024

Since the pilot water use statistics survey in Zhejiang Province in 2015, the list of water users in the province’s water use statistics survey has reached 7,899, with industrial and domestic direct reporting accounting for 94% of the total. By sorting out the problems and analyzing the causes in the implementation process of the water use statistics survey system, this paper proposes methods to improve the collection of water use data from public water supply enterprises, the backflow analysis of statistical direct reporting data, and the detailed rules for data review, as well as measures to solve problems. It also looks forward to the construction of a water index system that can predict economic changes and its application.
Analysis on the Classification and Pattern of Marine Environment Remediation and Restoration Projects in China
Authors: Zhang Ye , Qiu Jufei , Xu Meina
Published: May 2024

Comprehensive improvement of the marine environment, as one of the important measures for ecological restoration of national land space, is the inheritance and development of ecological restoration. By integrating the perspective of marine ecosystem service functions and comprehensively applying various restoration measures, we are committed to optimizing the development pattern of blue national land space, improving the efficiency of natural resource utilization and improving the quality of the ecological environment, in order to collaboratively achieve the ultimate goal of intensive and efficient production space, livable and moderate living space, and beautiful ecological space. This study collected data on marine environment remediation and ecological restoration projects implemented by the country from 2010 to 2015, and through the analysis-combination-induction model, initially established a project classification system suitable for the current status of marine environment remediation and ecological restoration work in China.
Hydrochemical characteristics of underground fluid observation wells in Shandong
Authors: Wen Liyuan , Jia Zhen , Guo Zongbin , Lian Kaixuan , Yan Bingdun , Cao Yi , Chen Qifeng
Published: May 2024

To explore the hydrochemical characteristics of underground fluid observation wells in the Shandong area, piper diagram and Na-K-Mg triangle diagram methods were used to analyze the hydrochemical types and water-rock chemistry of water samples from 18 underground fluid observation wells in the study area. The results show that the hydrochemical types of underground fluid observation wells in the Shandong area are mainly SO4·Cl-Ca·Mg type, HCO3-Na type, HCO3-Ca·Mg type, and SO4·Cl-Na type. The chemical composition of water is mainly affected by water-rock interaction, rock salt dissolution, ion exchange, and human activities. Hydrogen and oxygen isotope analysis results show that atmospheric precipitation is the main recharge source of fluid wells in this area, and deep water recharge also plays an important role in some observation wells. The research results determine the hydrogeochemical background and well water source of underground fluid wells in the Shandong area and provide the scientific basis for fluid observation environment analysis, seismic monitoring and prediction, and seismic anomaly verification in the area.
Water Supply Strategy of Cascade Reservoirs for Irrigation and Industrial Uses Based on Marginal Benefit
Authors: Feng Suzhen , Wang Jinwen
Published: May 2024

The operation of reservoir is to optimize the utilization of water resources and bring its maximum benefit. Most studies of reservoir scheduling generally pursue the maximization of revenue, and rarely consider the demand of water supply from reservoirs to agriculture or factories in the scheduling process. The few studies that have taken this into account have included this demand in the objective function or constraint, rather than in terms of marginal benefits. This work presents a method to determine water supply decision of reservoir based on marginal benefit. By iteratively linearizing the cascaded reservoir scheduling model and calculating the optimal solution to the dual problem of the model, this method provides a reference for the water supply plan of reservoir to agricultural departments and factories. The proposed method has been applied to 8 reservoirs on the Jinsha River cascade. Convergence in water head is achieved after 15 iterations, and numerical comparisons of the marginal value of water resources at different locations and periods across various reservoirs are obtained.
Effect of Hydrate Saturation and Pore Pressure on the Safe Exploitation of Natural Gas Hydrate Resources
Authors: Shen Shi , Wang Lei , Ge Yang , Lu Xingyu , Chu Jiawei , Liang Huiyong
Published: May 2024

A comprehensive study of the mechanical behaviors of hydrate-bearing sediments (HBSs) is the key to safely exploiting hydrate resources. The mechanical behaviors of HBSs are related to many variables, among which hydrate saturation (Sh) and pore pressure (PP) are vital factors. In addition, Sh and PP are related to the location of hydrates in the subsea layer, so it is of positive significance to investigate their comprehensive influence on the mechanical behavior of HBSs. In this work, a series of triaxial tests were conducted on the HBSs synthesized in the laboratory to explore the influence of Sh and PP on the mechanical properties of the HBSs. The results show that the strength of HBSs increases with increasing PP and Sh. With increased PP and Sh, the stress-strain behaviors will shift from strain-hardening to strain-softening. Moreover, under different Sh conditions, a critical PP point of strain-hardening and softening transition exists in numerical perspective. The critical PP point will develop towards low pressure with increased Sh.
The importance and challenges of air pollution control
Authors: Gongjun Wang , Dongmei Wang
Published: May 2024

Air pollution poses a serious threat to human health and the natural environment. Therefore, controlling air pollution is of vital importance. This article will explore the hazards of air pollution, the importance of air pollution control, the challenges faced, and possible solutions. At the same time, air pollution also has a significant impact on climate change.
Estimation Method of Covariance Matrix in Atmospheric Inversion of CO2 Emissions
Authors: Han Yubin , Ren Ge , Zhao Shiqi , Du Kailun , Lin Hong
Published: May 2024

Atmospheric inversion of CO2 Emissions is based on the correction of prior carbon dioxide flux inventories using concentration monitoring data and atmospheric transport models to obtain posterior carbon dioxide flux. In atmospheric inversion studies, fixed covariance functions are commonly used to generate covariance matrices, and the hyperparameters in the covariance functions are empirically estimated. In this study, we design and implement an ideal experiment based on meteorological data from the central urban area of Zhengzhou, using WRF-STILT to generate sensitivity matrices and construct real carbon emission inventories and prior inventories. Based on the real carbon emission inventories and sensitivity matrices of monitoring stations, simulated observation concentration values are generated. Firstly, based on the observed concentration values, sensitivity matrices of monitoring stations, prior inventories, and constructed covariance matrices, the values of hyperparameters are determined based on maximum marginal likelihood estimation. Then, the influence of different prior covariance functions on the inversion results is tested, and it is found that the prior covariance matrix generated by the balgovind covariance function is most suitable for the experimental data.
Analysis Model of Crack Arrest for Supercritical CO2 Pipelines Containing Impurities
Authors: Qi Wenjiao , Chen Bing , Tang Chunli , Bi Jian
Published: May 2024

CO2 transport pipelines, as a critical link in CCUS technology, are more prone to fracture propagation under the effects of environment and high pressure due to the special characteristics of CO2, resulting in ductile fracture incidents. However, the commonly used original Batelle two curves method (BTCM) has large errors applied to CO2 pipelines containing impurities. In this paper, a corrected BTCM based on a hoop stress calibration factor was proposed to evaluate the crack arrest ability of CO2 pipelines. The reliability of the modified model was verified based on the experiments data. The results show that the GERG-2008 equation of state is more suitable in predication of decompression wave velocity, and fracture propagation velocity model with a correction factor of ccf =2.0 was verified in quite good agreement with experiment results. This corrected BTCM that can be directly applied to engineering, provided theoretical basis and suggestions in the design and safe operation of CO2 pipelines containing impurities.
PM2.5 Inversion Based on XGBoost And LightGBM Integrated Models
Authors: Ren Yanyou , Zhang Yan , Fan Shurui
Published: May 2024

Accurate inversion of PM2.5 concentration is crucial for haze management. Currently commonly used inversion methods cannot accurately invert the concentration in non-site areas, so this paper proposes a PM2.5 concentration inversion method based on an integrated learning model. The method utilises the Top Atmospheric Reflectance (TOAR), observation angle and meteorological element data as input features, and screens the important features by Random Forest, and constructs an integrated inversion model using XGBoost and LightGBM. The results show that the model built by TOAR improves R2 by 2.9% and reduces RMSE and MAE by 2.67 and 1.45, respectively, compared with the AOD-based model, and our model has an inversion accuracy of 0.95, which is better than other models. We used the model to estimate and analyse the historical PM2.5 concentration changes at Huaihe station in Tianjin, China, and the results were consistent with the trend of the actual PM2.5 concentration distribution, and it is clear that the proposed model has a high inversion accuracy.
Analysis on the Impact of Various Slope Ecological Restoration Techniques on Soil Fertility and Physicochemical Properties During the Summer Drought Period in Red Soil Area of Northeast Jiangxi Province
Authors: Lu Chao , Shao Zhichao , Liu An , Ma Jianrong , Sun Bowei
Published: May 2024

[Purpose] This study aims to investigate the impacts of three slope restoration techniques, namely, soil spray sowing, vegetation fiber, and vegetation concrete, on soil fertility, pH, and organic matter content during the summer drought period. The study also aims to explore the advantages of these three different restoration techniques, providing a basis for slope restoration in the Northeast Jiangxi region. [Methods] The study used experimental slopes established with three different restoration techniques: soil spray sowing, vegetation fiber, and vegetation concrete. Soil samples were collected during the rainy season in July 2022 and the drought season in September 2022. The changes in hydrolyzable nitrogen, available potassium, available phosphorus content, pH, and organic matter in the soil after restoration were comprehensively investigated. The study relies on the Qi-Wu expressway, and all the experiments are set on the slopes on both sides of the expressway. [Results]①For the soil restored using soil spray sowing during the drought season, the content of hydrolyzable nitrogen and available potassium was higher than that of the original soil, while the content of available phosphorus significantly decreased. The pH changed from acidic to weakly alkaline. ②For the soil restored using vegetation fiber during the drought season, although the content of available phosphorus increased, it was still relatively low. The content of available potassium decreased, but the total amount remained high. The content of hydrolyzable nitrogen was high and showed an increasing trend. The pH slightly decreased from weakly acidic to acidic. ③For the soil restored using vegetation concrete during the drought season, the content of hydrolyzable nitrogen, available potassium, and available phosphorus was high and showed an increasing trend. The pH slightly decreased, but it remained weakly alkaline before and after the drought. [Conclusion] Soil spray sowing, vegetation fiber, and vegetation concrete, all three restoration techniques, could demonstrate good performance during the drought period in the Northeastern Jiangxi region. In terms of their overall performance, the ranking from strong to weak is as follows: vegetation concrete > vegetation fiber > soil spray sowing. Soil spray sowing, as the most convenient and cost-effective slope restoration technique, could in the future incorporate additives that can improve local soil properties according to different regional characteristics. Vegetation fiber not only needs to improve soil acidity-alkalinity but should also appropriately incorporate phosphorus-containing additives. Vegetation concrete needs to address the issue of reducing soil acidity-alkalinity after restoration in the future.
A Study on the Influence Factors of Agricultural Carbon Emissions in Hunan Province Based on Random Forest Model
Authors: Liu Yaxiang , Liang Tao , Cheng Jing
Published: May 2024

Agricultural carbon reduction contributes to the realization of “carbon peak and carbon neutrality” strategy. This article analyzes the previous years’ data of agricultural carbon emissions in Hunan Province, and obtains the variation of carbon emissions; Using the random forest method to analyze the influence factors of agricultural carbon emissions in Hunan Province, it is proven that unit crop production value, unit energy carbon emissions in agriculture, and unit agricultural GDP energy consumption are the three most critical factors affecting agricultural carbon emissions in Hunan Province. LDMI method is used for validation. Sensitivity analysis was conducted on factors such as agricultural energy consumption, total production value of AFAF(Agriculture, forestry, animal husbandry, and fishing), total agricultural production value, crop yield, crop planting area, and non-urban population. The first five changes have a positive impact on agricultural carbon emissions, while non-urban population has a downward and then upward trend.
Discussion on Torrefaction Parameters for Making the Refuse-Derived Fuels by Response Surface Methodology
Authors: Chung Tsair Wang , Shi Yu Ning , Gao Shun
Published: May 2024

The torrefaction process is one of the mild pyrolysisor the low-temperature carbonization, which is a thermochemical conversion in which biomass is heated in an inert or nitrogen atmosphere, and the temperature ranges from 200°C to 300°C. It is considered to be an effective pretreatment method to make solid fuels. This study utilizes low-temperature carbonization technology to improve the combustion efficiency of solid-derived fuel (RDF-5) made from biomass. In this experiment, a tubular furnace was used to feed nitrogen gas for 15 min, and four raw materials of pennisetum, rice straw, wood chips and Camellia seed cakes were fed. The analysis was carried out, and the effects of temperature and residence time on the calorific value, energy yield and energy density of the four raw materials were explored using response surface methodology (RSM). It can be seen from the experimental results that among the four raw materials, the carbon content and calorific value of Camellia seed cakes are the highest. Elemental analysis showed that the proportions of nitrogen and sulfur in these four raw materials are very low. These four substances were understood to be suitable to be refuse-derived fuels (RDF-5). Comparing the calorific value of the four kinds of biomass after torrefaction process, the calorific value of pennisetum, Camellia seed cakes, wood chips and rice straw increased by 42.5%, 38.7%, 52.7%, and 18.6%, respectively. These findings revealed that the higher temperature and the longer residence time, the smaller energy yield and the higher energy density.
Assessment and Analysis on the Structure Status and CO2 Emissions from Freight Transport in China
Authors: Wang Renjie , Song Yuanyuan , Li Xiaoyi , Tan Xiaoyu , Gao Meizhen , Liu Shengqiang , Liu Jie
Published: May 2024

With the booming freight industry in China in recent years, the freight volume has presented a growing trend, but the accompanied motor vehicle pollution emission becomes increasingly prominent. For the purpose of green development in freight industry, China is taking active measures to reduce emissions. Among them, the structural emission reduction enjoys the greatest potential in energy conservation and emission reduction in the transportation industry in the future. Its key is to adjust the current unreasonable transportation structure in China, and promote the transfer of freight transport from road to rail and water through the development of multimodal transport. Therefore, systematically finding out the structural characteristics of China’s freight industry and sorting out the problems existing in the freight structure can provide technical support for promoting the structural emission reduction of the freight industry and building an intensive, efficient and green cargo transportation system. This study systematically analyzed the overall development and structural characteristics of China’s freight transportation, calculated the current situation and characteristics of CO2 emissions in China’s freight transportation sector, summarized and analyzed the main problems facing energy conservation and emission reduction in China’s freight transportation sector, and put forward countermeasures and suggestions.
Sustainable experimental study of ceramic residues and waste fabrics
Authors: Xu Jingyu , Bao Qifu , Cheng Zhipeng , Shao Lei
Published: May 2024

Objective: To explore feasible solutions to realize the recycling of waste materials for sustainable application in response to the existing problem of idle accumulation of large quantities of waste textile fabrics and ceramic residues. Methods: Through the experimental method, waste porcelain powder was substituted for some of the ridged raw materials in the traditional ceramic formula to make a slurry, and then mixed with waste fabrics to be fired into a new ceramic material. Then its characteristics were recorded, summarized, explored, and analyzed to explore the unique value of the material. Results: The experiments found that the mixing of the waste materials produced a good chemical reaction. The waste ceramic powder can enhance the flexural strength of the new material, reduce the deformation rate, and make the new material’s performance more stable. Waste fabrics can make the new materials enjoy the advantages of easy production, good light transmittance, and lightweight. Conclusion: This research lays a technical foundation for future entry into the design market. This contributes to the recycling of waste fabrics and ceramic residues in a sustainable way.
Study on the method of determining indoor radiant temperature under strong radiant heat source
Authors: Song Bing , Bai Lujian
Published: May 2024

How to obtain the mean radiant temperature and radiant temperature asymmetry more accurately is the basis for the study of the indoor thermal environment under the influence of external windows. It is also a prerequisite for the field study of the indoor thermal environment of buildings. This study conducted a field experiment on the suitability and limitations of different methods for determining indoor mean radiant temperature and radiant temperature asymmetry under the strong radiant heat source caused by short-wave radiation. It was found that the mean radiant temperature and the radiant temperature asymmetry obtained by measuring the surface temperature of the enclosed space could better reflect the real indoor long-wave radiation situation. Methods based on the black globe temperature and net radiometer were both affected by the solar short-wave radiation. The results of this study could provide a theoretical basis for the impact of windows on the indoor thermal environment.
Study on the Equivalent Conversion and Utilisation Model of Solar Energy and its Benefits
Authors: Yuan Wenzhao , Wang Wengfeng , Liu Jinsong
Published: May 2024

Relying on the energy local area network (LAN), we study the equivalent conversion relationship between different “energy qualities” in the process of solar energy conversion and utilisation and its benefit model. Considering the impact of load demand characteristics and current energy consumption price factors on solar energy utilization, a multi-objective optimization model of solar energy conversion and utilization is constructed with the goals of maximizing solar energy utilization and maximizing the comprehensive benefits of system operation; then, the particle swarm optimization algorithm with quantum behaviour is used to optimize and solve the model, and a comparative analysis is carried out with the traditional single-energy supply mode. The results show that the proposed model can effectively improve the comprehensive utilisation and consumption of solar energy by the energy consumption system, and achieve higher energy sales benefits. Therefore, with the help of energy storage technology, the fluctuation and intermittency of the solar PV system output can be suppressed, and flexible grid connection can be realised, so as to enhance the grid-connected capacity of solar energy; at the same time, higher economic benefits can be obtained with the help of optimisation, coordination and control system operation. Optimised control of solar PV power generation systems under different scenarios ensures the safety and stability of the system’s power output and improves the grid-connected capability of solar PV power generation systems. The validity and feasibility of the proposed model and its operation mode are verified, providing a new idea for the development and utilisation of large-scale solar energy.
Design and application of an information interaction device for household photovoltaic inverters
Authors: Wei Xiaozhao , Zhang Weijian , Liu Hao , Qiao Sen , Zhang Xiangcong , Zhao Jian , Hu Yurong
Published: May 2024

The rapid growth of household photovoltaics poses a significant challenge to the safe operation of distribution networks. To enable the unified monitoring of household photovoltaic inverters by power grid companies, this paper introduces an information interaction device for household photovoltaic inverters based on high-speed power line carrier communication and high-speed radio frequency communication. The study begins by analyzing the information access architecture of the household photovoltaic inverter, followed by a presentation of the hardware and software design of the information interaction device. Subsequent experiments conducted at various photovoltaic stations demonstrate an impressive 98% success rate for information interaction, highlighting the device’s robust reliability.
Experimental Evaluation of the Integrated Composite Perforation System under Simulated Tight Reservoir Conditions
Authors: Zhou Ming , Lin Liming , Li Bihong , Li Shangjie , Lu kun , Zhao Yuntao , Li Wanquan , Xi Wenbo
Published: May 2024

This paper aims to evaluate the performance of the integrated composite perforation system in tight reservoirs. To simulate complex pressure conditions of the reservoir, a perforation test device was developed in accordance with API RP 19B sections 4.2 and 4.4 procedures, and a set of test evaluation methods was designed. Using a type 4-1/2in perforating charge and pre-propellant charge, a tight sandstone target with rock physical characteristics similar to the real reservoir were selected for the perforation test under simulated reservoir pressure, pore pressure, and wellbore pressure. The characterization of the perforation tunnel and fracture morphology using CT scanning and thin-section analysis techniques. The results show that under the simulated reservoir pressure conditions, the integrated composite perforation system reduces the penetration depth by nearly 8% compared with the conventional perforation, improves the average flow efficiency by 17.2%, and creates multiple 40mm-100mm extended fractures at the end of the tunnel, the perforation and fracture enhancement is improved by an average of 1.34 times.
Preparation of Co-based nanoboxes as Oxygen Electroreduction Nanoreactor
Authors: Wu Yanling , Luo Qingyuan , Yang Junxia , He Hui , Tang Xi , Hao Mengyang
Published: May 2024

Investigating the constituents of active catalysts is crucial for the advancement of ORR electrocatalysts that are both high in performance and stability, aiming to supplant the expensive platinum-based alternatives, yet this task continues to be a persistent challenge. Firstly, HA nanoplates of hydroxyapatite nanocontainers were decorated with zeolite imidazole salt framework (named as HA-ZIF) by hydrothermal synthesis method, and then Co-based imidazole zeolite framework decorated with Zn group was synthesized by simple self-assembly method, and it was calcined at different temperatures. Finally, the ORR performance obtained samples (named as Co2(PO4)2@NC-800, Co2(PO4)2@NC-900 and Co2(PO4)2@NC-1000) was tested by cyclic voltammetry (CV) and linear scanning voltammetry (LSV), and the morphological and structural characterization of composite catalysts at different temperatures were analyzed by PXRD and SEM. It was found that the Co2(PO4)2@NC-900 had the best catalytic performance. The study presents a flexible approach for creating versatile non-precious catalysts applicable to various energy-related electrocatalytic processes.
Establishment of General Oil Pipeline Scheduling Model and Research on Interface Tracking Calculation Method
Authors: Shen Liang , Xu Yulei , Song Jinzhou , Yu Yang , Zhao Hongyang , Feng Li
Published: May 2024

In order to understand the establishment of oil pipeline scheduling model and interface tracking calculation method, a research on the establishment of a universal product oil pipeline scheduling model and interface tracking calculation method has been proposed. Establish an automatic formulation and optimization model for the scheduling plan of finished oil pipelines with the objective of minimizing the consumption cost of the entire pump unit. The model mainly adopts a centralized distribution method, considering the hydraulic constraints of the pipeline, and adopts a genetic algorithm to optimize and solve the model. This article provides a detailed introduction to the encoding method of genetic algorithm for optimizing the scheduling plan of finished oil pipelines, the selection of main operators in the algorithm, the establishment of fitness functions, and the introduction of penalty functions. Based on the established mathematical model, an automatic programming and optimization program for product oil pipeline scheduling plan was developed using C language in Windows 7 environment. Secondly, through practical applications, the actual pipeline operation data is basically consistent with the software calculation results, with an error of no more than 5%; As the running time changes, the pump cost fluctuates greatly; Using a larger throughput can reduce the amount of mixed oil; Therefore, this mathematical model can better meet the actual needs of pipeline operation, facilitate the rapid identification of the most sensitive parameter indicators, and adjust the scheduling plan in a timely manner, reduce operational economic losses, and improve the efficiency of product oil pipeline scheduling and operation.
Research and application of collector line sizing in wind power field area
Authors: Wang Lu , Huang yulei
Published: May 2024

Wind power generation has significant advantages such as huge reserves, energy and environmental protection, and thus is increasingly being emphasized by countries around the world, with rapid development momentum; in the design of wind farms, the selection of collector lines is not only a necessary guarantee for the safe and stable operation of wind farm lines, but also a powerful embodiment of the economics of project planning and construction; this paper presents a comprehensive analysis and detailed study of the selection basis of collector lines from the technical fields such as voltage level, laying form and so on of the collector lines of wind farms, combined with the necessary economic requirements of the project construction. This paper starts from the wind farm collector line voltage level, laying form and other technical fields, combined with the necessary economic requirements of engineering construction, the collector line selection basis for comprehensive analysis and detailed study, based on the economic factors affecting the collector line selection calculation basis, and the applicability of the selection results for demonstration. This study provides an in-depth discussion on the selection of collector lines for a certain plateau wind farm, and systematically evaluates the advantages and disadvantages of different collector line scenarios by means of a comprehensive technical and economic analysis. The results of the study show that in this particular scenario, the direct-buried cable scheme exhibits significant advantages in terms of comprehensive economic indicators. This finding emphasizes the key role of rational and optimized collector line design in the construction of wind farms, which not only helps to reduce the initial investment cost, but also improves the economic efficiency of wind farms in long-term operation. Through scientific selection and design optimization, wind farms can achieve power transmission more efficiently and economically, thus enhancing the competitiveness of renewable energy in the context of the current energy transition.
Optimized scheduling of virtual plants with bio gas and electrohydric alcohol based on stepped carbon transactions
Authors: Lu Xiaoyan , Liu Yujie , Peng Zhengwei , Zhang Xinwen , Zheng Ruqiang , Gao Feng
Published: May 2024

In order to reduce carbon emissions and promote clean energy development and utilization, a virtual plant optimization scheduling strategy for bio gas coupled to methanol synthesis units based on a stepped carbon transaction mechanism is proposed. This strategy is based on the transportation cost of hydrogen energy storage and the reality that methanol is widely used in the industry, to construct a second-order variable pressure adsorptive bio gas and electro alcohols linked production model, to extract high purity natural gas and CO2, and to couple the methanol synthesis unit with the bio gas equipment, while introducing a stepped carbon trading mechanism to realize CO2 recycling and wind with the lowest running cost in a virtual power plant Efficient dissipation of photogenerated electrical energy. Finally, by setting up different scenarios and conducting computational validation, the analytical results confirm that the proposed model strategy can meet the demands of low carbon and economy in virtual power plants.
Study on prediction and influencing factors of energy consumption in Jiangxi province
Authors: Xia Hui
Published: May 2024

This study aims to determine the main factors affecting energy consumption in Jiangxi Province, and to forecast energy consumption effectively. An indicator system of energy consumption influencing factors containing 17 variables is constructed from 4 aspects of economy, society, technology and energy. Based on relevant data from 1996 to 2021, conduct comprehensive analysis and select 10 main factors. Establish three energy consumption prediction models: multiple regression model (MLR), time series model (ARIMA), and support vector regression (SVR). Evaluate the prediction performance through mean square error (MSE), mean absolute percentage error (MAPE), and goodness of fit (R2). The main influencing factors of energy consumption are determined as GDP, output value of the tertiary industry, industrial output value, residents’ consumption level, fixed assets investment of the whole society, total population, urbanization rate, internal expenditure of R&D funds, energy intensity, and energy consumption structure. The best prediction model is SVR model. It provides a basis for the effective formulation of energy policies and the implementation of economic development programs.
Carbon Trading and Port Subsidies for Shipping Companies’ Emission Reduction Strategies Research
Authors: Duan Qiong , Meng Yanping
Published: May 2024

In the context of a carbon trading mechanism, this study examines the distribution of emission reduction responsibilities between ports and shipping companies. By constructing Stackelberg game models in four scenarios, equilibrium strategies are found from both economic and environmental dimensions, and the impacts of carbon pricing and port green subsidies on the economy and environment are analyzed. The research indicates that, considering both economic and environmental benefits, it is optimal for members of the port and shipping supply chain to undertake emission reduction investments. Furthermore, under the carbon trading mechanism, the profits of ports and shipping companies vary with carbon prices, with the highest profits for ports in the YY scenario. The YN and YY scenarios enhance emission reduction efficiency, while the environmental damage in the NY scenario may be close to that in the NN scenario. Green subsidies improve the profits and environmental performance of port and shipping enterprises, highlighting the critical role of green subsidies in environmental benefits.
Analysis of Residential Building Layout and Its Impact on Building Energy Consumption in Hefei Region
Authors: Jun Xu , Honghong Wei , Yukun Zhu , Chao Wang
Published: May 2024

This article focuses on residential buildings in the Hefei region. Energy consumption simulations for different building layouts were conducted using ECOTECT and BECH software. Comparative analysis of simulation results was performed for three different conditions: winter, summer, and transitional seasons. The study aimed to identify the most energy-efficient building layout considering the local climate. The results indicate that for winter and summer conditions, the row-column layout is the most energy-efficient, saving 7.66% and 8.33% compared to enclosed and slanted layouts in winter, and 4.98% and 5.07% in summer. However, during the transitional season, an enclosed layout in April achieves the best energy-saving performance, while in October, the enclosed layout consumes 2.82% more energy than the row-column and slanted layouts. Overall, considering annual energy consumption, the row-column layout proves to be the most energy-efficient for residential buildings in the Hefei region, with energy savings of 4.28% and 3.5% compared to enclosed and slanted layouts, respectively, providing valuable in sights for energy-efficient design in residential buildings.
Joint Peak Shaving Mechanism of Pipeline Gas Storage: Case Study of West-East Gas Pipeline
Authors: Nie Chaofei , Gu Xiaoting , Liu Luoqian , Zhang Jiaxin , Nie Zihao , Wang Yanxin , Zhou Rui , Liang Xiaolong
Published: May 2024

Demand imbalance owing to gas supply is considered in the context of a surge in natural gas demand. Currently, a single method of storing gas at the end of a pipeline is commonly used to alleviate the peak shaving pressure. This method is economical, convenient, and able to respond quickly to fluctuations in user gas demand. However, because of its limited gas storage capacity, gas storage for peak shaving is still considered when the demand for peak shaving is high. With the increasing demand for natural gas inclined towards residential life, it is difficult to achieve a relative balance between the supply and demand of natural gas solely by relying on traditional pipeline-end storage and peak shaving. Based on this, a “pipeline gas storage integration” peak-shaving model is constructed. Furthermore, the model is combined with real-time analysis of the required peak-shaving amount of the pipeline to achieve synergistic effects of multiple peak-shaving methods. The established model is used to study the collaborative peak-shaving mechanism between pipelines and gas storage facilities under different supply and demand conditions. In addition, a quantitative relationship between the optimal economic benefits and different peak-shaving methods is constructed using the model. A peak-shaving mechanism of gas transmission considering different uniformity coefficients is also studied. Considering the case of the Jiangsu section of the West-East Gas Pipeline for simulation analysis, we reasonably plan the capacity and layout of gas storage facilities, optimize the peak shaving capacity of pipelines and gas storage facilities, and provide specific measures and guidance for actual engineering. Furthermore, we improve the efficiency and flexibility of the natural gas supply chain and achieve maximum economic benefits.
Factors and evaluation models for the development of new energy electric vehicles in China
Authors: Li Xinman , Hu Zhimu , Shi Jiaqi
Published: May 2024

The development of new energy electric vehicles in China is of great significance in addressing climate change, reducing dependence on fossil fuels, and promoting the growth of the clean energy industry. In this study, we establish a new energy electric vehicle development index model based on game theory portfolio empowerment. Firstly, 15 indexes related to the development of new energy electric vehicles were selected, and the optimal weights of the indexes were obtained by integrating AHP and EWM using game theory combination empowerment method, and the most important influencing factors were obtained. Then, 3 models, namely, TOPSIS, grey correlation analysis and principal component analysis, were used to evaluate the development index of new energy electric vehicles, and the results showed that the development level of China’s new energy electric vehicles from 2010-2021 shows a trend of yearly improvement, with the rate of improvement shifting from a slow increase to a rapid one.
A Steady and Benign Development Trend of New Energy Electric Vehicles in China
Authors: Hu Zhimu , Shi Jiaqi , Li Xinman
Published: May 2024

In the current global context, it is crucial to forecast trends in new energy electric vehicles. In this study, we used three forecasting models, namely, grey prediction, time series analysis and BP neural network, and compared and evaluated the forecasting effects of the models, which showed that the evaluation indexes of BP neural network model were much better than those of the other models, in which the coefficient of determination (R2) reaches 0.9929, which indicates that the prediction of BP neural network model is the most effective. The results showed that the new energy electric vehicle industry in China as a whole showed a steady and benign development trend.