Article
Energy & Fuels
Soumyabrata Das, Padmanabh Thakur, Asheesh K. Singh, S. N. Singh
Summary: This paper proposes a penalty factor-based objective function for scheduling the charging and discharging strategy of Electric Vehicles (EVs), utilizing the OCSO algorithm to minimize the objective function and achieve optimal scheduling with reduced load variance. Results show a 32.67% decrease in load variance, and parametric sensitivity studies are conducted to determine optimal parameter values for the OCSO algorithm, with comparisons to other optimization algorithms demonstrating the efficacy of the proposed method.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Hang Li, Kai Hou, Xiandong Xu, Hongjie Jia, Lewei Zhu, Yunfei Mu
Summary: This paper proposes a probabilistic energy flow calculation approach for regional integrated energy systems, considering cross-system failures, renewable generation fluctuations, and multi-energy loads. An iterative screening method is developed to identify failed components caused by cross-system failures. The method categorizes all cross-system failures into three types to simplify the analysis of system interactions. Numerical studies validate the effectiveness of the proposed method and demonstrate its ability to provide comprehensive insights into system interactions under different failure scenarios.
Article
Engineering, Electrical & Electronic
Yinfeng Sun, Dapeng Xia, Zichun Gao, Zhenhao Wang, Guoqing Li, Weihua Lu, Xueguang Wu, Yang Li
Summary: This paper proposes a probabilistic load flow method based on the cumulant method to handle the complex and changeable operating conditions of the power system. By setting control modes and calculating the traditional AC/DC flow, relevant samples are obtained and the probability density function of node voltage and line power is derived using the series expansion method. The effectiveness of the proposed method is verified through experiments on actual transmission systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Wallisson C. Nogueira, Lina Paola Garces Negrete, Jesus M. Lopez-Lezama
Summary: This paper introduces an ILF approach for dealing with uncertainty in power system analysis and implements a PLF method based on MCS for comparison. The results on test systems demonstrate the robustness and applicability of the proposed approach.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hector Miras del Rio, Antonio Ortiz Lora, Alejandro Bertolet Reina, Jose Antonio Terron Leon
Summary: The study introduces EyeMC, a Monte Carlo (MC) model-based calculation algorithm for ophthalmic plaque brachytherapy using realistic and adaptable patient-specific eye geometries and materials. The tool allows high-precision MC calculations of ocular plaque treatments in short times by integrating into a cloud computing platform.
Article
Chemistry, Physical
Feng Zhang, Xinhe Wang, Mingying Wu, Xinting Hou, Cheng Han, Zhongbing Liu
Summary: This study demonstrated the deterministic and robust optimization design of photovoltaic cells by considering uncertain factors, reducing the influence of uncertainties, and improving output reliability.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Industrial
Liang Pei, Chen Chen, Kun He, Xiang Lu
Summary: The study proposed an improved method for assessing the reliability of a gravity dam-foundation system, providing a new approach to system reliability evaluation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Information Systems
Rana H. H. AlNahhal, Adel F. F. Naiem, Mostafa F. F. Shaaban, Muhammad Ismail
Summary: This paper proposes an optimal planning framework to improve the reliability of distribution systems by allocating and sizing the PLs of PEVs. The stochastic existence of PEVs in PLs is captured using a combined probabilistic model of MCMCS and MCS. The reliability is evaluated based on energy-oriented indices and the customer's annual cost of interruption. The proposed framework is tested on various case studies, and the results show its effectiveness in improving reliability indices and reducing customer interruption cost.
Article
Engineering, Electrical & Electronic
Hui Hwang Goh, Lian Zong, Dongdong Zhang, Hui Liu, Wei Dai, Chee Shen Lim, Tonni Agustiono Kurniawan, Kenneth Tze Kin Teo, Kai Chen Goh
Summary: This study proposed a method for predicting the charging load of EVs based on stochastic uncertainty analysis, classifying different EV charging characteristics and developing corresponding load calculation models. The improved grey model method was used for predicting EV ownership. Furthermore, the Monte Carlo simulation method was utilized to estimate the charging load demand of EVs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Jiang Tian, Yang Lv, Qi Zhao, Yucheng Gong, Chun Li, Hongen Ding, Yu Yu
Summary: This article proposes a method for predicting the orderly charging load of electric vehicles based on the characteristics of EV charging behavior and nonlinear programming. It utilizes the Monte Carlo algorithm to predict the charging probability and disorderly charging load of EVs, and employs a nonlinear programming algorithm to solve the optimized target function of orderly charging, thereby achieving the prediction of orderly charging load in the region.
Article
Engineering, Aerospace
Bekir Yildiz, Peter Foerster, Jonas Langner, Thomas Feuerle, Peter Hecker
Summary: This paper presents a concept of a fast-time gate-to-gate simulation environment that covers air traffic and ground processes. The main objective is to investigate network-related effects of disturbances in commercial European air traffic. The hybrid simulation platform enables the study of local and global effects of various disruptions based on historic traffic scenarios.
Article
Chemistry, Multidisciplinary
Eduardo Quiles-Cucarella, Adrian Marquina-Tajuelo, Carlos Roldan-Blay, Carlos Roldan-Porta
Summary: The study proposes a reliable and cost-effective design method for stand-alone photovoltaic systems using particle swarm optimization. The method considers the variability of PV generation and domestic demand to minimize the total cost of ownership. The results demonstrate the effectiveness and efficiency of the proposed approach.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Zhenyu Yu, Fei Lu, Yu Zou, Xudong Yang
Summary: This paper focuses on the flexibility assessment and optimal dispatch of commuter PEVs within a microgrid system. A virtual microgrid system was established including residential buildings, an office, distributed generation, and commuter PEVs, and a generic framework was proposed to quantify the flexibility potential of PEVs along with several indicators to identify the flexibility characteristics. A mixed-integer linear programming model was developed to schedule the charging and discharging processes of PEVs and calculate the flexibility indicators.
ENERGY AND BUILDINGS
(2022)
Article
Nuclear Science & Technology
D. Flammini, A. Chaudhary, A. Colangeli, N. Fonnesu, J. Guirao, K. Gupta, S. Kalwale, G. Mariano, F. Moro, A. Previti, M. Quatrevaux, P. Shigin, V. S. Udintsev, R. Villari
Summary: The standard modular Equatorial Port Plug (EPP) in ITER is in the final stage of design and serves as a common platform for different diagnostic systems. The EPP hosts six diagnostics and provides necessary shielding for maintenance. This study focuses on nuclear analyses to assess the nuclear loads and shielding performance of the system, using a detailed neutronic model integrated in an ITER sector MCNP model.
FUSION ENGINEERING AND DESIGN
(2023)
Article
Computer Science, Information Systems
Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Martin Golasowski, Joao Bispo, Pedro Pinto, Jan Martinovic, Katerina Slaninova, Joao M. P. Cardoso, Cristina Silvano
Summary: This paper proposes a novel approach to route planning in car navigation systems by incorporating speed probability distribution, with the dynamic selection of sample size improving computation efficiency and reducing the number of simulations. Experimental results show a significant speedup in execution time and a reduction in computing resources needed for the navigation pipeline.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Srdjan Dimitrijevic, Nikola Rajakovic
ELECTRICAL ENGINEERING
(2016)
Article
Thermodynamics
Vladimir M. Shiljkut, Nikola Lj. Rajakovic
Article
Thermodynamics
Ilija Batas Bjelic, Nikola Rajakovic
Article
Thermodynamics
Ilija Batas Bjelic, Nikola Rajakovic, Boris Cosic, Neven Duic
Article
Engineering, Electrical & Electronic
Srdjan Dimitrijevic, Nikola Rajakovic
IEEE TRANSACTIONS ON SMART GRID
(2015)
Article
Thermodynamics
Ilija Batas Bjelic, Nikola Rajakovic, Goran Krajacic, Neven Duic
Article
Thermodynamics
Ilija Batas-Bjelic, Nikola Rajakovic, Neven Duic
Article
Engineering, Electrical & Electronic
Nikola Lj. Rajakovic, Vladimir M. Shiljkut
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2018)
Article
Thermodynamics
Svjetlana B. Dokic, Nikola Lj. Rajakovic
Article
Thermodynamics
Koraljka Kovacevic Markov, Nikola Rajakovic
ENERGY CONVERSION AND MANAGEMENT
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Jovan Vujasinovic, Goran Savic, Ilija Batas-Bjelic, Nikola Rajakovic
Summary: This paper highlights the significance of interoperability in smart metering systems for distribution system operators, as the lack of interoperability can lead to increased implementation costs and complexity in meter replacement, cleanup, and maintenance. Without interoperability, the system's observability is limited and certain functionalities of distribution management systems are prevented. The evolution of smart metering systems through four stages of interoperability is also discussed, with a comparison of implementation costs provided for Serbian distribution system operators.
2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT)
(2021)
Article
Thermodynamics
Dominik Rutz, Jakob Worm, Christian Doczekal, Anes Kazagic, Neven Duic, Natasa Markovska, Ilija R. Batas Bjelic, Rok Sunko, Dino Tresnjo, Ajla Merzic, Borna Doracic, Vladimir Gjorgievski, Rainer Janssen, Elma Redzic, Richard Zweiler, Tomislav Puksec, Blaz Sunko, Nikola Rajakovic
Proceedings Paper
Engineering, Electrical & Electronic
Nikola Rajakovic, Ilija Batas Bjelic
2017 IEEE MANCHESTER POWERTECH
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
S. Dimitrijevic, N. Rajakovic
2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT)
(2014)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
