Energy Exploration & Exploitation最新文献

{"title":"Theoretic and experimental performance of a grid-connected photovoltaic system: Multiple prediction model of efficiency and annual energy generation","authors":"Mario Arturo Rivera-Martínez, María Adriana García-López, J. A. Alanís-Navarro, Marcos Fuentes-Pérez, Jorge Enrique Lavín-Delgado","doi":"10.1177/01445987231204394","DOIUrl":"https://doi.org/10.1177/01445987231204394","url":null,"abstract":"In this article, the performance of a 3.36 kWp grid-connected photovoltaic system (GCPVS) under warm and subhumid weather conditions and the development of a predictive mathematical model is presented. Climate data of the 2021 year were used to evaluate energy generation, different types of performance, and efficiency. The average annual yield, corrected yield, array, and final yields were 6.45 h/day, 6.18 h/day, 5.16 h/day, and 4.97 h/day, respectively. The overall annual mean capacity factor and efficiency ratios were 20.73% and 77.22%, correspondingly. Experimental data were analyzed and correlated by multivariate linear regression (MLR) prediction and simulation to validate models. The MLR analysis showed that the efficiency is highly dependent on the temperature of the PV modules and that climatic parameters significantly affect the efficiency and output electric power. The prediction models for PV module efficiency, system efficiency, and direct current energy exhibit an uncertainty of ±1.04%, ±0.57%, and ±35.38 kWh, one-to-one. The monthly generation was compared with results obtained by Energy3D simulation-free software, showing an absolute error of ±2.33 kWh. This information can be used as a methodological tool for predicting efficiency and power generation in direct current.","PeriodicalId":444405,"journal":{"name":"Energy Exploration & Exploitation","volume":" 710","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139617450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An artificial-intelligence-based petrophysical property predictor for compositional volatile oil reservoir using three-phase production data","authors":"Zhenzihao Zhang, Turgay Ertekin, Xianlin Ma, J. Zhan","doi":"10.1177/01445987231221593","DOIUrl":"https://doi.org/10.1177/01445987231221593","url":null,"abstract":"When considering multiphase flow scenarios, the interpretation of petrophysical properties poses significant challenges for production forecasts and reservoir modeling. The findings of the numerical modeling were therefore subject to uncertainty because characteristics like relative permeability and capillary pressure curve were hardly ever bound by interpretations. The uncertainty may result in inaccurate predictions of reservoir performance and skewed perceptions of the reservoir. Due to the difficulty in directly interpreting such property from the available field data and the expensive cost of coring, analyses or experimental measurements to determine relative permeability and capillary pressure were infrequently carried out. Such a gap would be filled by a straightforward yet rigorous method. In this study, we develop production projections for a wide range of three-phase compositional volatile oil reservoirs. Then, we used an artificial neural network to figure out how petrophysical characteristics and production data relate to one another. The artificial neural network model was adjusted, and the final trained model was tested blindly to determine how well it predicted permeability, multiphase relative permeability, and capillary pressure data. For the testing scenarios, consistency is seen between the predicted values and the original ones, despite some mispredictions being present. To provide production projections that can be compared to those from the reservoir model that include the initial petrophysical characteristic, the anticipated properties are then propagated into reservoir models. The comparison findings show that for 65/59/34 out of 74 testing scenarios, the reservoir model with artificial neural network-predicted features can anticipate oil/gas/water output with < 20% inaccuracy. With the developed artificial neural network tool, the reservoir engineers can evaluate the three-phase relative permeability surface from rate-transient data conveniently improving the accuracy of the relative permeability data implemented by history matching or from core experiments which sometimes are extremely expensive. The findings of this study can help for a better understanding of the relationships between three-phase rate-transient data and the relative permeability surface as well as the horizontal/vertical permeability.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139626246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The multiple services of hydropower plants in the context of sustainable electric sector in Brazil","authors":"J. Damázio, Marco Aurélio dos Santos","doi":"10.1177/01445987231214290","DOIUrl":"https://doi.org/10.1177/01445987231214290","url":null,"abstract":"At the worldwide level, the hydroelectricity corresponds to 54% of all renewable electricity, 15% of total electricity generated and only 3% of all total primary energy. In Brazil, hydropower produces 74% of all renewable electricity, 57% of electrical energy and 11% of all total primary energy (EPE, 2023). As all over the world, the construction and operation of large artificial reservoirs until the mid-twentieth century was seen in Brazil by government and by the general public as important infrastructure investment for economic development and improvement of well-being. Nowdays, investments in hydropower plants are re-gaining importance given not only its ability in supporting the transition of the electricity grid to get rid of dependence on fossil fuels but also in the provision of numerous other services. In particular, Brazilian hydropower plants contribute to multiple water resources management services such as flood and drought control, groundwater stabilization, water quality management, river navigation, irrigation, leisure and tourism and aquaculture around the country. The article discusses the multiple services provided to society by hydroelectric power plants within the context of sustainability in Brazil.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139389053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electricity generation and China's GDP growth under dual control policy","authors":"Longji Xia, Yun Liu","doi":"10.1177/01445987231224637","DOIUrl":"https://doi.org/10.1177/01445987231224637","url":null,"abstract":"To achieve the carbon neutralization plan by 2060, China implemented the “Dual Control” ( Neng Hao Shuang Kong in Chinese) policy in 2015 by limiting the energy intensity and consumption, leading to forced slowdown of energy-related production and consumptions, which in turn hampered China's economic growth. The economic impact of energy shortage has been discussed in such studies as Cheng et al., the economic consequences of the new policy remain unanswered. In this article, we select China's provincial GDP and electricity generation data from 2001 to 2021 to perform causality tests and a double log model which delineates the nexus between GDP growth and electricity generation. We find that (a) electricity generation growth Granger causes GDP growth but not vice versa, and (b) a 1% increase in electricity generation growth will lead to 0.17% increase in GDP growth. The significance of the finding is: as coal still primarily fuels electricity generation, dual control will further hinder China's economic development sans significant enhancement of electric system or expansion of renewable energy, our findings thus support an upgrade of current grid network by China Power International Development; an expansion of renewable capacity such as a proposal of 400 GW new energy project; and construction of energy storage devices such as the CGD Group thermal storage System and Yingcheng Compressed Air Energy Storage System.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"68 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139390025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural Characteristics of the Yushuwan Fault in the Northeastern Ordos Basin: Implications for Basin Tectonics and Hydrocarbon Exploration","authors":"Xiaoyuan He, Chiyang Liu, Jianqiang Wang, Fangpeng Du, Linfang Xiong","doi":"10.1177/01445987231221592","DOIUrl":"https://doi.org/10.1177/01445987231221592","url":null,"abstract":"The Yushuwan fault is located in the transition zone among the Yimeng uplift, Jinxi fold belt and Shanbei slope in the northeastern Ordos basin and marks the boundary between Palaeozoic and Mesozoic strata. According to the field geological survey and geophysical data, this study shows that the Yushuwan fault is a deep-cut northwest-southeast-oriented strike-slip basement fault. A total of 17 apatite and zircon fission track points show that the basin experienced several stages of uplift at 190 Ma, 150–170 Ma, 110–130 Ma, 60–80 Ma, and 20–40 Ma. The characteristics of the Yushuwan fault indicate that the northeastern part of the basin is not a simple slope but rather a step with a large drop. Therefore, in the area to the southwest of the Yushuwan fault, there should be high natural gas resource potential and good exploration prospects. The contour values of the magnetic anomaly on the southwestern side of the fault are high, and the contours are dense; in contrast, the contour values of the northwest magnetic anomaly are low, and the gradient is gentle. Therefore, the fault represents the eastern boundary of the Yimeng uplift, and restricts the eastward extent of the high magnetic anomaly zone in the Yimeng uplift area.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138962891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of physical properties of lost petroleum quantities in vertical tanks at (NRC) Baiji","authors":"AM Ahmed Alwaise, Mohamed A Alrashedi, Awad E. Mohammed, Abdullah I Ibrahim, O. A. Habeeb, Sfoog H. Saleh, Mahmod A. Abdulqader, Omar A Hussein","doi":"10.1177/01445987231220961","DOIUrl":"https://doi.org/10.1177/01445987231220961","url":null,"abstract":"One of the main sources of crude oil and product losses in refineries is the storage tanks. The lightest hydrocarbons in these tanks evaporate during operation, causing not only a loss of the precious raw hydrocarbon material but also a source of dangerous gas pollution. For calculating these losses, several direct and indirect approaches have been devised. In this study, we used a method based on the comparison of the differences in the characteristics of crude oil or other products. This work aimed to find the specifications of two products, kerosene and gas oil, and calculate the losses that occur for the quantities in the dispatch warehouse in the NRC. Four samples of kerosene were used and named: kero@02-1, kero@05-2, kero@10-3, and kero@11-4, while four samples of gas oil were named: gaso@02-1, gaso@05-2, gaso@10-3, and gaso@11-4. Also, they depend on the date of certificate issue, respectively. The received quantities were calculated in ml and converted to cubic meters using the tank coefficient (kerosene tank coefficient 0.638 and gas oil tank coefficient 0.408). Calculations were made of 1500 ml for kerosene and 2500 ml for gas oil. In addition, this project dealt with a simplified method of work that includes the physical properties to find the actual quantities that are lost for the mentioned petroleum products. Moreover, the highest losses were for kerosene (5 m3) at sp. gr 0.750, and the highest losses were for gas oil (5 m3) at sp. gr 0.820. The results showed that there is a quantity of fluctuating losses that does not exceed 5 m3 / 1000 m3 and that these losses are in accordance with the permissible limits. The results recommend directing the laboratory tester's teams in the NRC Baiji to conduct periodic examinations of the petroleum products, as well as not to collusion when receiving a low product with laboratory examination specifications to reduce losses in quantities.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"69 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138965202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Productivity characteristics and controlling factors of coalbed methane vertical well in a coal block of Qinshui Basin","authors":"Fengjie Chen, Caifang Wu, Zhanbo Huo, Qingzhen Zhao","doi":"10.1177/01445987231219766","DOIUrl":"https://doi.org/10.1177/01445987231219766","url":null,"abstract":"Although a coal block in the Qinshui Basin is a key location for coalbed methane (CBM) exploration and development, the productivity of various vertical wells varies significantly. The productivity characteristics of 636 vertical wells were analyzed better to understand the effects of different variables on CBM productivity. Grey correlation analysis was used to identify the key determinants of CBM well productivity. The findings indicate that vertical well production is below average, with more than 50% serving as water wells. The production of the central well area is high in the west and south. Highly productive wells are significantly influenced by geological conditions, primarily located in areas with high gas content, moderate cover depth, high permeability, and elevated water head. The engineering factor that exerts the most significant influence on productivity is the rate of liquid level drop. Based on grey correlation analysis, the primary determinants of CBM vertical well production are permeability and cover depth.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138976399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vertical coalbed gas content distribution in the Walloon Subgroup of Daandine gas field and its geological controls","authors":"Zehong Cui, Wensong Huang, Zheng Zhang, Linli Liu, Jianjun Wang, Xiaoyi Wei, Jiahui Jiao","doi":"10.1177/01445987231219772","DOIUrl":"https://doi.org/10.1177/01445987231219772","url":null,"abstract":"The Middle Jurassic Walloon Subgroup of Daandine gas field contains numerous coal seams with abundant coalbed methane (CBM) resources. However, the vertical gas content distribution of these coal seams is unclear currently, as well as its influencing factors, affecting the formulation of CBM exploration and exploitation strategy. For this purpose, using diverse geologic, experimental, and engineering data from recent exploration and development, this article ascertains the vertical coalbed gas content distribution in the Daandine gas field and discusses how the geological factors affect it. The results show that the coalbed gas contents have two basic trends as the depth increases: (1) increase, and then decrease; (2) increase. The former trend is dominant, and the inflection point occurs in the coal groups within or close to the Tangalooma Sandstone Formation. The correlation analysis shows that the macerals have little influence on the vertical coalbed gas content distribution. The moisture contents affect the adsorption capacity of coalbeds and show a negative correlation with the gas contents, and coal groups with higher moisture contents generally have lower gas contents. Three sets of independent gas-bearing systems exist in the Walloon Subgroup, and the coalbed gas content-depth relationship is relatively independent among different gas-bearing systems. The better the caprock condition, the higher the gas content, which is particularly evident in the coals of Condamine group. The permeabilities show a significant effect on the coalbed gas contents of Daandine coals. The coal groups within or close to the Tangalooma Sandstone Formation have higher permeabilities, as well as higher gas contents, and they are positively correlated. The reason is that the CBM in the study area is dominantly microbial in origin, and the higher permeability coals are conducive to the introduction of more microbial consortia into the coal seams, enhancing the generation of secondary biogenesis methane.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"21 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139005192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the role of green investment in energy efficiency: Does digital economy matter?","authors":"Kangyin Dong, Sihui Zeng, Jianda Wang, Farhad Taghizadeh-Hesary","doi":"10.1177/01445987231216763","DOIUrl":"https://doi.org/10.1177/01445987231216763","url":null,"abstract":"Energy efficiency is crucial for achieving a balance between economic growth and sustainable development. As carbon-neutral targets continue to gain momentum, green investments are becoming increasingly important. Therefore, it is critical to investigate the relationship between green investment and energy efficiency. This paper aims to fill a gap in the macroeconomic literature by using a generalized method of moments (GMM) technique based on panel data from 30 provinces in China from 2006 to 2019. The econometric results indicate that green investment is positively associated with energy efficiency. Additionally, green investment indirectly promotes energy efficiency by fostering technology innovation and research and development (R&D) intensity. The results also suggest that more advanced digital development is linked to improvements in energy efficiency. Furthermore, regions characterized by higher levels of digital economy exhibit a more pronounced contribution of green investment to energy efficiency. Based on these findings, this paper provides valuable insights for Chinese policymakers on green investment and low-carbon development.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"13 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138980823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy","authors":"Kamel Bousnina, Anis Hamza, Noureddine Ben Yahia","doi":"10.1177/01445987231217134","DOIUrl":"https://doi.org/10.1177/01445987231217134","url":null,"abstract":"This research aims to predict the cost and energy consumption associated with pocket and groove machining using the hybrid particle swarm optimization-artificial neurons network (PSO-ANN) algorithm and the response surface method (RSM). A parametric study was conducted to determine the best predictions by adjusting the swarm population size (pop) and the number of neurons (n) in the hidden layer. The results showed that machining strategies and sequences can have a significant impact on energy consumption, reaching a difference of 99.25% between the minimum and maximum values. The cost ( Ctot) and energy consumption ( Etot) values with the PSO-ANN algorithm increased significantly by 99.99% and 92.41%, respectively, compared to the RSM model. The minimum mean square error values for Etot and Ctot with the PSO-ANN models are 3.0499 × 10−5 and 4.6296 × 10−10, respectively. This study highlights the potential of the hybrid PSO-ANN algorithm for multi-criteria prediction and highlights the potential for improved machining of 2017A alloy.","PeriodicalId":444405,"journal":{"name":"Energy Exploration &amp; Exploitation","volume":"44 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138979888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}