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Application of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversion 应用智能代理模型对 Farnsworth 单元中生产-注入井转换的 CO2-EOR 设计进行多重优化

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-11 DOI: 10.1016/j.egyr.2024.09.006

Yoonsu Na, Youngsoo Song, William Ampomah, Jihoon Wang

{"title":"Application of smart proxy model for multi-optimization of CO2-EOR design in farnsworth unit with production-injection well conversion","authors":"Yoonsu Na, Youngsoo Song, William Ampomah, Jihoon Wang","doi":"10.1016/j.egyr.2024.09.006","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.09.006","url":null,"abstract":"CO-Enhanced Oil Recovery (CO-EOR) is an effective development strategy and an economically viable CO storage method for a mature oil field. In this study, a smart proxy model (SPM) was constructed to establish the optimal development strategies in Farnsworth Unit (FWU) considering CO storage and oil production with the production-injection well conversion. An SPM was constructed with the results of 16 reservoir simulations and was validated with an R values of 96.3 % and 97.5 % for the CO storage and oil production, respectively. The obtained Pareto front indicates a range of the optimized CO storage and oil production. In addition, the maximum CO storage case shows 260 % and 61.1 % of the CO storage and oil production of the base case, respectively. When the maximum oil production is targeted, the CO storage and oil production are respectively 66.5 % and 111.3 % of the base case. It was concluded that the SPM is effectively applicable for multi-objective optimization with fewer simulation runs and shorter time. In addition, the well conversion is a viable method to improve both the CO storage and oil production in the FWU during CO-EOR process.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"25 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting unparalleled degradation progression in PV module using simulation of shunt resistance experimental data 利用并联电阻实验数据模拟预测光伏组件的无与伦比的退化进程

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-10 DOI: 10.1016/j.egyr.2024.09.012

Hussain Al Mahdi

{"title":"Predicting unparalleled degradation progression in PV module using simulation of shunt resistance experimental data","authors":"Hussain Al Mahdi","doi":"10.1016/j.egyr.2024.09.012","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.09.012","url":null,"abstract":"Datasets of various levels of solar cell shunt resistances were available in the literature, resulting in a linear correlation to forecast shunt resistance ( degradation and failures in photovoltaic (PV) cells. However, some PV failures initiate mildly with one or few cells in a PV module and then distribute to other cells which leads to a major power reduction as well as critical safe operation. Simulating these experimental datasets gives the potential to catch these unparalleled degradations in PV modules at early stages, preventing them from turning critical. In response, SPICE simulation was used to study the effect of PV cells with low shunt resistance in a PV module. The simulation follows four steps, focusing on the electrical output of Current-Voltage () curve of the solar cells: (a) simulation of the experimental healthy curve of a PV cell; (b) simulation of experimental eleven curves at reduced levels of shunt resistance; (c) simulation of a PV module by using the simulation parameters obtained from the former steps; and (d) lastly, simulation of four different scenarios depending on the number of faulty cells in a PV module. The effect of these scenarios on the curve parameters is compared. Results revealed it is feasible to detect unparalleled degradations, spotting the failed cells (reduced ) in a PV module by implementing a linear model correlating open-circuit voltage (V) with short-circuit-current (I) (acting as a proxy of Irradiance) at different shunt resistance levels. This model can be simulated as a robust indicator of PV abnormalities and is appropriate for employment in online PV monitoring systems.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"50 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energetic, exergetic, and carbon footprint performance assessment of a combined renewable simple and recompressed Brayton S-CO2/ORC system 简单可再生和再压缩布雷顿 S-CO2/ORC 组合系统的能效、效用和碳足迹性能评估

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-10 DOI: 10.1016/j.egyr.2024.08.077

Victor Merlano Alarcón, Guillermo Valencia Ochoa, Dora Villada Castilla

{"title":"Energetic, exergetic, and carbon footprint performance assessment of a combined renewable simple and recompressed Brayton S-CO2/ORC system","authors":"Victor Merlano Alarcón, Guillermo Valencia Ochoa, Dora Villada Castilla","doi":"10.1016/j.egyr.2024.08.077","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.077","url":null,"abstract":"The energetic, exergetic, and environmental performance of a Brayton cycle is improved through ORC bottoming cycle in order to achieve thermo sustainability operational conditions. The proposed models for Brayton S-CO/ORC systems using a concentrated solar power as energy source are based on energy and exergy balances, and the environmental impact assessment is conducted through a life cycle analysis, allowed the objective to develop a parametric study involving the net power, the thermal and exergy efficiency, the exergy destruction of each component and the environmental impact of the combined system, as a function of the variation of the inlet temperature of Turbine 1 (T1), the compression ratio and the thermodynamic efficiency of the turbines and compressors, which are relevant energy and environmental performance parameters for both cycles studied. For the evaluated conditions, the Brayton SRC-CO-ORC cycle using steel as construction material, shows better energetic, exergetic, and environmental results, generating a net power 42% higher than the Brayton S-CO-ORC cycle at the base conditions of the study, and when increasing the temperature (T1) up to 650 °C where it obtains the maximum value of second law exergetic efficiency with 24.58%, while the cycle without recompression registers an efficiency of 19.45%. For both systems the device with the greatest potential improvement and environmental impact is the concentrated solar thermal power (CSP) system, which represents a 60% of the total exergy destroyed and 87% of the total environmental impact of both systems, while the construction phase in both systems represents 95.38% of the environmental impact, while decommissioning, maintenance and operation represent 4.52% for the materials evaluated.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"4 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Renewable power energy management for single and three-phase inverters design 单相和三相逆变器设计中的可再生能源管理

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-09 DOI: 10.1016/j.egyr.2024.08.085

Reving Masoud Abdulhakeem, Ali Kircay, Rakan Khalil Antar

{"title":"Renewable power energy management for single and three-phase inverters design","authors":"Reving Masoud Abdulhakeem, Ali Kircay, Rakan Khalil Antar","doi":"10.1016/j.egyr.2024.08.085","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.085","url":null,"abstract":"This study manages solar panels, wind turbines, and fuel cells to develop single- and three-phase Sinusoidal Pulse Width Modulation (SPWM) inverter circuits. The maximum power point tracking method in direct current (DC)-DC boost converters efficiently uses these renewable sources. Photovoltaic (PV), wind turbines, fuel cells, and bidirectional batteries are utilized in energy management. Efficiency, material cost reduction, and user convenience depend on energy management. The technology fully charges the standby battery when all sources are available. Other renewable sources will power the system if one fails. Before boost converter circuits, renewable energies generated 310 V for PV, 60 V for wind energy conversion, 215 V for fuel cells, and 25.9 V for bi-directional batteries. Proportional-integral (PI) controllers govern inverter switching to maintain high-quality sinusoidal outputs while decreasing total harmonic distribution (THD). Single-phase load voltage and current at resistive load have 0.65419 % THD. Load voltage and current root main square (RMS) values are 217.3617 (V) and 3.1052 (A), respectively. When connected to an R load, the three-phase inverter circuit provides 1.5146 % THD for load voltage and current. Load voltage and current RMS readings are 218.4261 (V) and 2.1843 (A). THD is 1.5969 % for load voltage and 1.2905 % for load current with an RL load. In this example, load voltage and current RMS values are 214.201 (V) and 2.0916 (A). Simulations demonstrate the successful integration of renewable sources to meet energy needs and maintain power supply. The above solutions use renewable energy efficiently and integrate with the grid.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"19 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multicriteria adjustable regret robust optimization for building energy supply design 建筑能源供应设计的多标准可调遗憾稳健优化

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-09 DOI: 10.1016/j.egyr.2024.09.001

Elisabeth Halser, Elisabeth Finhold, Neele Leithäuser, Tobias Seidel, Karl-Heinz Küfer

引用次数: 0

Analyzing trends in energy modeling tools in Latin America: A comprehensive review 分析拉丁美洲能源建模工具的趋势：全面回顾

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-09 DOI: 10.1016/j.egyr.2024.08.080

Andrés André Camargo-Bertel, Carel Lizarazo, Lesme Corredor, Javier Campillo, Arturo Gonzalez-Quiroga, Oscar Pupo-Roncallo

{"title":"Analyzing trends in energy modeling tools in Latin America: A comprehensive review","authors":"Andrés André Camargo-Bertel, Carel Lizarazo, Lesme Corredor, Javier Campillo, Arturo Gonzalez-Quiroga, Oscar Pupo-Roncallo","doi":"10.1016/j.egyr.2024.08.080","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.080","url":null,"abstract":"Energy system models have become valuable tools for developing and implementing sustainable energy policies. In Latin America, there has been continuous growth in the use of these models for exploring and defining strategies for a transition toward decarbonized and more sustainable energy systems. These models are essential for quantifying impacts and defining potential pathways due to the complexity of the interactions between different energy sectors. However, reviewing the increasing pool of available modeling tools is necessary, empowering regional energy planners and policymakers with a clearer understanding of their classifications, applications, and critical features. This understanding aids in selecting the most suitable tool for their needs. This article aims to contribute to analyzing trends in utilizing energy modeling tools in Latin America, specifically focusing on their application in energy planning and research efforts toward sustainability. We present a systematic literature review of the leading energy modeling tools used in Latin America following the PRISMA methodology. Eight specific tools were selected and analyzed, assessing five primary aspects: geographical coverage, sectoral coverage, temporal resolution, time horizon, and renewable energy integration. The analysis revealed the evolution of energy modeling tool usage in the region, highlighting trends supporting sustainable energy planning and transition practices. The analysis highlights the increasing share of renewable energy in Latin America. It also recognizes the necessity for high-temporal resolution tools to evaluate the availability and utilization of renewable resources while emphasizing the importance of intersectoral collaboration. Furthermore, it indicates the importance of collaboration among stakeholders and policymakers to advance toward more sustainable energy systems.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"99 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine-learning techniques for enhancing electricity theft detection considering transformer reliability and supply interruptions 考虑变压器可靠性和供电中断因素的机器学习技术，用于加强窃电检测

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-08 DOI: 10.1016/j.egyr.2024.08.068

Yu-Chung Tsao, Dinita Rahmalia, Jye-Chyi Lu

{"title":"Machine-learning techniques for enhancing electricity theft detection considering transformer reliability and supply interruptions","authors":"Yu-Chung Tsao, Dinita Rahmalia, Jye-Chyi Lu","doi":"10.1016/j.egyr.2024.08.068","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.068","url":null,"abstract":"Machine-learning techniques are extensively used in fraud detection and have a huge potential application in electricity theft detection. Electricity theft occurs when consumers manipulate their electricity consumption to be recorded as lower than the actual, resulting in reduced revenue for the electricity supplier. This study explores the application of advanced machine-learning techniques to detect electricity theft, focusing on the impact on supply of electricity to electricity usage pattern. We used a dataset that contains supply interruptions influenced by transformer reliability to construct a robust detection model. This model integrates data analytic techniques from decision trees, support vector machines, k-nearest neighbors, and logistic regression classifiers. After selecting the optimal classifier, we used aggregated parameters to improve theft-detection accuracy. A comprehensive sensitivity analysis was used to evaluate the effects of variations in transformer reliability factors on interruption, interruption costs, electricity revenue, and theft-detection performance. Our findings indicate that using optimal aggregated parameters significantly enhances detection accuracy 10.709 percent, 11.435 percent, 4.909 percent, and 2.097 percent from original parameters depend on the number of aggregation in 2-hour, 4-hour, 6-hour, and 12-hour, respectively. The lower transformer reliability leads to increased loss with percentage 66.87 percent, 46.98 percent, 17.22 percent and reduced theft-detection efficiency by 27.32 percent, 19.23 percent, 6.20 percent. depend on reliability factor20 percent, 50 percent, and 80 percent, respectively.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"33 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A method of operation status evaluation and fault diagnosis for PV arrays in the scenario of digitalization 数字化背景下的光伏阵列运行状态评估和故障诊断方法

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-07 DOI: 10.1016/j.egyr.2024.08.071

Junbo Hao, Hong Zhan, Chun Xiao, Honglan Pei, Lidong Wang

{"title":"A method of operation status evaluation and fault diagnosis for PV arrays in the scenario of digitalization","authors":"Junbo Hao, Hong Zhan, Chun Xiao, Honglan Pei, Lidong Wang","doi":"10.1016/j.egyr.2024.08.071","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.071","url":null,"abstract":"To meet the requirements of intelligent operation and maintenance of PV stations, a method for evaluating the operation status and diagnosing faults in PV arrays based on an enhanced adaptive fuzzy inference system is proposed. Initially, an evaluation index system is established by analyzing the relevant environmental factors affecting PV power generation and the I-V characteristic curves under various operating conditions. Subsequently, the fuzzy rule set is created using dynamic coding of membership functions and mutation theory, and the accuracy of fault diagnosis in the enhanced adaptive fuzzy inference system is enhanced by integrating the hypermatrix to achieve multi-dimensional non-linear output. Lastly, the index membership degree is weighted comprehensively using the entropy weight method, and a comprehensive health index is developed considering both environmental and electrical factors to accurately quantify the operational status of PV arrays. In case analysis, the improved ANFIS is compared with both the original ANFIS and the improved BP-Bagging, and the results show that the improved ANFIS method proposed in this paper effectively improves the accuracy and stability of the assessment.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"16 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimized array for powering sensors: Thermal and electromagnetic energy harvesting and fusion 为传感器供电的优化阵列：热能和电磁能采集与融合

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-07 DOI: 10.1016/j.egyr.2024.08.083

Shiyezi Xiang, Lin Du, Huizong Yu, Weigen Chen, Fu Wan, Xing Huang

{"title":"Optimized array for powering sensors: Thermal and electromagnetic energy harvesting and fusion","authors":"Shiyezi Xiang, Lin Du, Huizong Yu, Weigen Chen, Fu Wan, Xing Huang","doi":"10.1016/j.egyr.2024.08.083","DOIUrl":"https://doi.org/10.1016/j.egyr.2024.08.083","url":null,"abstract":"Environmental energy harvesting technology has achieved great success in remote sensor power supply applications. However, existing technologies in the power grid neglect the potential of weak energy sources. This study aims to optimize the most reasonable array configurations and create hybrid energy fusion schemes for different weak energy environments. Taking thermal and electromagnetic energy harvesting from cable surfaces and currents in coaxial cables as an example, this paper introduces a genetic algorithm-based optimization method of harvester array configuration under multiple constraints and a dual-source energy fusion system. First, a vector impedance parameter identification method based on the equivalent circuit model of current transformer (CT) is proposed. Later, an optimization model for harvester array is established. Then, a genetic algorithm is used to optimize array combinations. And, a dual-source energy fusion system is proposed. Finally, thermal and electromagnetic energy harvesting and fusion are performed using TEGs array and CT array. Under the specified conditions of a hot end temperature of 50 ℃ and an effective current value of 2 A, the power supply for the Zigbee wireless sensing system is realized to monitor the temperature of the cable core.","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"50 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Load forecasting method based on CNN and extended LSTM”[Energy Rep. 12 (2024) 2452–2461] 基于 CNN 和扩展 LSTM 的负荷预测方法"[Energy Rep. 12 (2024) 2452-2461] 更正

IF 5.2 3区工程技术

Energy Reports Pub Date : 2024-09-06 DOI: 10.1016/j.egyr.2024.09.003

Chong Wang, Xiang Li, Yan Shi, Wenshuai Jiang, Qiong Song, Xueling Li

引用次数: 0