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A Model Independent Predictive Control of PMSG Wind Turbine Systems with a New Mechanism to Update Variables
Yuzhe Zhang, Xiaodong Liu, Haitao Li, Zhenbin Zhang.
May 23, 2023 (v1)
Keywords: back-to-back power converters, model-independent predictive control, PMSG wind turbines, robust control.
Permanent magnet synchronous generator (PMSG) wind power system with full power rating converter configuration is especially suitable for wind energy applications. Direct model predictive control (DMPC) has led to more possibilities in terms of choice because of its straightforward concept for PMSG wind turbine systems in high-power off-shore wind farms. However, due to complete dependence on the model knowledge, parameter mismatches will seriously deteriorate the system control performances. This work presents a model/parameter-independent predictive control method with a novel mechanism to update current/power variations online. The proposed method makes use of only two measurements from the former intervals and the selected control vectors to estimate all variations of the candidate vectors in the present interval. Benefiting from this updating mechanism, the proposed method is completely independent of the model parameters in the state prediction. However, it still has a very low c... [more]
A Bridgeless Cuk-BB-Converter-Based BLDCM Drive for MEV Applications
Tanmay Shukla, Srete Nikolovski.
May 23, 2023 (v1)
Keywords: bridgeless Cuk-buckboost (BL-Cuk-BB) converter, brushless DC motor (BLDCM), DICM (discontinuous inductor current mode), power quality (PQ), voltage source inverter (VSI).
This article presents a brushless DC motor (BLDCM) drive for a maritime electric vehicle (MEV) application. The presented BLDCM drive uses a bridgeless Cuk-buckboost (BL-Cuk-BB) converter for input-side power factor (PF) improvement. The BL-Cuk-BB converter uses the buckboost converter for the negative half-cycles of the input AC voltages and the Cuk converter for the positive half-cycles. In the case of MEVs, the drive systems are generally fed by diesel engine generators (DEGs). The asymmetric BL-Cuk-BB converter is operated in a discontinuous inductor current mode (DICM) in the present work to attain better power quality. The usage of a second-order buckboost converter with a fourth-order Cuk converter results in a decrement in the net order of the system. Additionally, the input inductor of the Cuk converter also participates as the filter component along with capacitor C2 during buckboost converter operation to enhance the power quality. The total component count reduction in the... [more]
On the Thermal Stability of a Counter-Current Fixed-Bed Gasifier
Marco Mancini, Andreas Schwabauer.
May 23, 2023 (v1)
Keywords: gasification, Modelling, stability, updraft.
In recent years, gasification gained attention again, both as an industrial application and as a research topic. This trend has led to the necessity to understand the process and optimize reactors for various materials and configurations. In this article, the thermal structure of a counter-current reactor is investigated to demonstrate that constraints on the temperature mainly determine the oxidation and the pyrolysis region. A non-dimensional set of equations is written and numerically solved using the method of lines (MOL) with spatial discretization based on a spectral algorithm. The results show that four thermal structures can be identified, two of which are the most common ones found in reactors of practical applications. Two stationary operation positions have been determined, one in the upper and one in the lower part of the reactor. Existence and stability conditions have been discussed based on non-dimensional parameters. The knowledge derived from this analysis was applied... [more]
Lab-Scale Investigation of the Integrated Backup/Storage System for Wind Turbines Using Alkaline Electrolyzer
Hossein Pourrahmani, Rahim Zahedi, Sareh Daneshgar, Jan Van herle.
May 23, 2023 (v1)
Keywords: alkaline electrolyzer (AEL), hybrid system, power curve, power demand, proton-exchange membrane fuel cell (PEMFC), renewable resources.
The depletion of fossil fuel sources has encouraged the authorities to use renewable resources such as wind energy to generate electricity. A backup/storage system can improve the performance of wind turbines, due to fluctuations in power demand. The novelty of this study is to utilize a hybrid system for a wind farm, using the excess electricity generated by the wind turbines to produce hydrogen in an alkaline electrolyzer (AEL). The hydrogen storage tank stores the produced hydrogen and provides hydrogen to the proton-exchange membrane fuel cell (PEMFC) to generate electricity once the power demand is higher than the electricity generated by the wind turbines. The goal of this study is to use the wind profile of a region in Iran, namely the Cohen region, to analyze the performance of the suggested integrated system on a micro scale. The output results of this study can be used as a case study for construction in the future, based on the exact specification of NTK300 wind turbines. Th... [more]
Model for Predicting CO2 Adsorption in Coal Left in Goaf Based on Backpropagation Neural Network
Fei Gao, Peng Wang, Dapeng Wang, Yulong Yang, Xun Zhang, Gang Bai.
May 23, 2023 (v1)
Keywords: CO2 sequestration, Coal, influence factors, Machine Learning, pore structure.
Injecting power plant flue gas into a goaf stores CO2 in the flue gas and effectively prevents the spontaneous combustion of the coal remaining in the goaf. Here, we investigated the adsorption behavior of three types of coal at normal temperature and pressure using a self-developed adsorption experimental device. We used a specific surface area and porosity analyzer to study the effects of pore structure, mineral content, and moisture content on CO2 adsorption in coal. Based on the experimental data, we designed a multifactor CO2 adsorption prediction model based on a backpropagation (BP) neural network. The results indicated that the pore size of most micropores in coal was in the range of 0.5−0.7 and 0.8−0.9 nm. The specific surface area and pore volume were positively correlated with the CO2-saturated adsorption capacity, whereas the mean pore diameter, mineral content, and moisture content were inversely associated with the CO2-saturated adsorption amount. The accuracy of the mult... [more]
Numerical Simulation of Nonlinear Processes in the “Thruster—Downhole Motor—Bit” System While Extended Reach Well Drilling
Andrey A. Kunshin, George V. Buslaev, Matthias Reich, Dmitriy S. Ulyanov, Dmitriy I. Sidorkin.
May 23, 2023 (v1)
Keywords: Computational Fluid Dynamics, downhole hydraulic thrusting device, drilling efficiency, ERD wells, PDC bits, vibration reduction, weight on the bit.
The relevance of the application of hydraulic thruster technology is determined by the technological limitations of drilling both vertical and horizontal wells. The existing experimental studies confirm the effectiveness of the technology, but its widespread implementation is hindered by the lack of scientific foundations for its operation in combination with a downhole motor and bit. Our research methodology includes methods for analyzing scientific and technical information as well as methods of numerical modeling using programming languages and ready-made software packages for CFD calculations. Verification of the simulation results was carried out on the basis of the experimental field studies previously conducted with the participation of the authors of the article. This article presents the results of the analysis of the current state of the problem and computer physical and mathematical modeling of the work of the thruster together with the bit and downhole motor when drilling a... [more]
Investigation of Heat Extraction in an Enhanced Geothermal System Embedded with Fracture Networks Using the Thermal−Hydraulic−Mechanical Coupling Model
Xin-Yue Duan, Di Huang, Wen-Xian Lei, Shi-Chao Chen, Zhao-Qin Huang, Chuan-Yong Zhu.
May 23, 2023 (v1)
Keywords: enhanced geothermal system, fracture networks, heat extraction, thermal–hydraulic–mechanical.
This paper presents a numerical study on thermal energy mining from hot dry rock (HDR) using an enhanced geothermal system (EGS). In these simulations, the thermal−hydraulic−mechanical (THM) coupling model is employed on the basis of the embedded discrete fracture model. The evolution of physical fields of the fractured reservoir, including temperature field, pressure field, and stress field is studied over time, and the effects of different controllable factors, such as fracture morphology, fluid injection rate, and the distances between the injection well and producing well on the heat recovery capacity are investigated. The results show that the fracture morphology significantly influences heat extraction performance. The working fluid mainly flows along with the fracture networks, which causes locally low temperatures and low mean effective stress near fractures. The porosity and permeability increase due to the decrease in mean effective stress. For reservoir models with inclined... [more]
A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images
Chiwu Bu, Tao Liu, Tao Wang, Hai Zhang, Stefano Sfarra.
May 23, 2023 (v1)
Keywords: automatic fault classification, CNN, deep learning, PV cell faults, thermography.
Photovoltaic (PV) cells are a major part of solar power stations, and the inevitable faults of a cell affect its work efficiency and the safety of the power station. During manufacturing and service, it is necessary to carry out fault detection and classification. A convolutional-neural-network (CNN)-architecture-based PV cell fault classification method is proposed and trained on an infrared image data set. In order to overcome the problem of the original dataset’s scarcity, an offline data augmentation method is adopted to improve the generalization ability of the network. During the experiment, the effectiveness of the proposed model is evaluated by quantifying the obtained results with four deep learning models through evaluation indicators. The fault classification accuracy of the CNN model proposed here has been drawn by the experiment and reaches 97.42%, and it is superior to that of the models of AlexNet, VGG 16, ResNet 18 and existing models. In addition, the proposed model ha... [more]
Energetic Analysis of Low Global Warming Potential Refrigerants as Substitutes for R410A and R134a in Ground-Source Heat Pumps
Laura Fedele, Sergio Bobbo, Davide Menegazzo, Michele De Carli, Laura Carnieletto, Fabio Poletto, Andrea Tarabotti, Dimitris Mendrinos, Giulia Mezzasalma, Adriana Bernardi.
May 23, 2023 (v1)
Keywords: ground-source heat pumps, low-GWP refrigerants, thermodynamic cycle efficiency.
The European building sector is responsible for approximately 40% of total energy consumption and for 36% of greenhouse gas emissions. Identifying technological solutions capable of reducing energy consumption and greenhouse gas emissions is one of the main objectives of the European Commission. Ground source heat pumps (GSHPs) are of particular interest for this purpose, promising a considerable reduction in greenhouse gas emissions of HVAC systems. This paper reports the results of the energetic analysis carried out within the EU research project GEO4CIVHIC about the performance of geothermal heat pumps working with low-GWP refrigerants as alternatives for R134a and R410A. The work has been carried out through computer simulations based on base and regenerative reverse cycles. Several heat sink and heat source temperature conditions have been considered in order to evaluate the GSHPs’ performance in the whole range of real conditions that can be found in Europe. Particular attention... [more]
Reinforcement-Learning-Based Multi-Objective Differential Evolution Algorithm for Large-Scale Combined Heat and Power Economic Emission Dispatch
Xu Chen, Shuai Fang, Kangji Li.
May 23, 2023 (v1)
Subject: Optimization
Keywords: combined heat and power, economic emission dispatch, large-scale system, multi-objective differential evolution, reinforcement learning.
As social and environmental issues become increasingly serious, both fuel costs and environmental impacts should be considered in the cogeneration process. In recent years, combined heat and power economic emission dispatch (CHPEED) has become a crucial optimization problem in power system management. In this paper, a novel reinforcement-learning-based multi-objective differential evolution (RLMODE) algorithm is suggested to deal with the CHPEED problem considering large-scale systems. In RLMODE, a Q-learning-based technique is adopted to automatically adjust the control parameters of the multi-objective algorithm. Specifically, the Pareto domination relationship between the offspring solution and the parent solution is used to determine the action reward, and the most-suitable algorithm parameter values for the environment model are adjusted through the Q-learning process. The proposed RLMODE was applied to solve four CHPEED problems: 5, 7, 100, and 140 generating units. The simulatio... [more]
Women Will Drive the Demand for EVs in the Middle East over the Next 10 Years—Lessons from Today’s Kuwait and 1960s USA
Andri Ottesen, Sumayya Banna, Basil Alzougool.
May 23, 2023 (v1)
Keywords: early majority/pragmatist, electric vehicles, women drivers.
The Middle East, Gulf Cooperation Council Countries (GCC), and Kuwait, in particular, are currently experiencing a similar transition as the USA in the 1970s regarding the empowerment and independence of women, fueled by a declining birth rate from four per women to less than two. In addition, the percentage of women with university degrees has been increasing at a logarithmic rate every decade since the 1960s in the USA and since 1990 in Kuwait, resulting in women comprising well over half of all university graduates. This has led to women obtaining better jobs and enjoying greater independence to make their own decisions. In the 1960s, Toyota and other Japanese car manufactures used this phenomenon to penetrate the US market, with significant success. Their selling points were lower maintenance requirements, higher reliability, safety, better environment friendliness and slicker interior designs, the last being especially adapted to women’s tastes. We believe that Chinese and Korean... [more]
Optimal Neutral Grounding in Bipolar DC Networks with Asymmetric Loading: A Recursive Mixed-Integer Quadratic Formulation
Walter Gil-González, Oscar Danilo Montoya, Jesús C. Hernández.
May 23, 2023 (v1)
Subject: Optimization
Keywords: bipolar DC systems, optimal neutral grounding, recursive mixed-integer quadratic model.
This paper presents a novel approach to tackle the problem of optimal neutral wire grounding in bipolar DC networks including asymmetric loading, which naturally involves mixed-integer nonlinear programming (MINLP) and is challenging to solve. This MINLP model is transformed into a recursive mixed-integer quadratic (MIQ) model by linearizing the hyperbolic relation between voltage and powers in constant power terminals. A recursive algorithm is implemented to eliminate the possible errors generated by linearization. The proposed recursive MIQ model is assessed in two bipolar DC systems and compared against three solvers of the GAMS software. The results obtained validate the performance of the proposed MIQ model, which finds the global optimum of the model while reducing power losses for bipolar DC systems with 21, 33, and 85 buses by 4.08%, 2.75%, and 7.40%, respectively, when three nodes connected to the ground are considered. Furthermore, the model exhibits a superior performance wh... [more]
Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms
Fateme Dinmohammadi, Yuxuan Han, Mahmood Shafiee.
May 23, 2023 (v1)
Keywords: energy consumption, Machine Learning, Net-Zero, prediction, residential building.
The share of residential building energy consumption in global energy consumption has rapidly increased after the COVID-19 crisis. The accurate prediction of energy consumption under different indoor and outdoor conditions is an essential step towards improving energy efficiency and reducing carbon footprints in the residential building sector. In this paper, a PSO-optimized random forest classification algorithm is proposed to identify the most important factors contributing to residential heating energy consumption. A self-organizing map (SOM) approach is applied for feature dimensionality reduction, and an ensemble classification model based on the stacking method is trained on the dimensionality-reduced data. The results show that the stacking model outperforms the other models with an accuracy of 95.4% in energy consumption prediction. Finally, a causal inference method is introduced in addition to Shapley Additive Explanation (SHAP) to explore and analyze the factors influencing... [more]
Analysis and Explanation of Resonant Phenomena Involving EHV Transformers during Power System Restoration Tests
Roberto Benato, Sebastian Dambone Sessa, Giorgio Maria Giannuzzi, Cosimo Pisani, Michele Poli, Francesco Sanniti.
May 23, 2023 (v1)
Keywords: harmonic resonances, power system restoration, transformer energization, weak networks.
This paper deals with the simulation and the experimental confirmation of electromagnetic events that could interfere with the successful formation of the restoration path during the power system restoration procedure. The studied phenomena are more relevant for bulk power systems characterized by a low short circuit power as the restoration backbone. In particular, two case studies have been simulated and analyzed: one related to a transformer energization during the formation of the restoration path, and the other one occurred after the de-energization of some transmission lines and one autotransformer belonging to the restoration path. From the simulation results, it emerged that such events are related to the resonant effects between the supplying transformer and the restored network. Such resonances could have negative effects on the restoration if they are not effectively managed. In order to evaluate the impact of such phenomena in real networks, the measurement recordings of on... [more]
Nuclear Power Plant to Support Indonesia’s Net Zero Emissions: A Case Study of Small Modular Reactor Technology Selection Using Technology Readiness Level and Levelized Cost of Electricity Comparing Method
Mujammil Asdhiyoga Rahmanta, Andang Widi Harto, Alexander Agung, Mohammad Kholid Ridwan.
May 23, 2023 (v1)
Keywords: levelized cost of electricity, nuclear power plant, small modular reactor, technology readiness level.
Most power plants, particularly those that burn fossil fuels such as coal, oil, and gas, create CO2, a greenhouse gas that contributes to climate change. By 2060, the Indonesian government has committed to reach net zero emissions. With the lowest CO2 emissions, nuclear power plants are dependable sources of energy. Small modular reactors (SMRs) are a particular kind of nuclear power plant that has the potential to be Indonesia’s first commercial nuclear power plant because of their small size, low capacity, uncomplicated design, and modular characteristics. The purpose of this study is to examine the economics and technological feasibility of SMRs. In this analysis, the levelized cost of electricity (LCOE) comparative method and the technology readiness level (TRL) approach are both applied. The SMRs with a minimum TRL value of 7 were CAREM-25 (TRL7), KLT-40S (TRL8), and HTR-PM (TRL 8), according to the results of this research. Although CAREM-25 and KLT-40S are still in the demonstra... [more]
Elimination of Line Overloads in a Power System Saturated with Renewable Energy Sources
Paweł Pijarski, Piotr Kacejko.
May 23, 2023 (v1)
Keywords: line overloads, metaheuristics, optimisation, power system congestion, renewable energy sources, transmission lines.
The increasing number of renewable energy sources (RESs) connected to power grids contributes to the emergence of not only balancing problems but also technical ones, such as the overloading of power lines. If renewable sources with a high generation level are planned to be connected in the area under consideration, then a large number of significant overloads should be expected, especially during contingency analysis. As a rule, high-voltage networks have a mesh topology, which is why the concept of using advanced mathematical algorithms was developed, with the help of which the resulting threats can be eliminated. This article presents a proposal for a new method of eliminating line overloads and determining the currently available nodal generation levels. Its innovation is a new method of eliminating problems related to the capacity of power grids. The high efficiency of the method results from the appropriately defined response of properly selected RES sources to the state of netwo... [more]
Effect of Plasto-Oil Blended with Diesel Fuel on the Performance and Emission Characteristics of Partly Premixed Charge Compression Ignition Engines with and without Exhaust Gas Recirculation (EGR)
Krishna Moorthy Rajendran, Deepak Kumar, Bhawna Yadav Lamba, Praveen Kumar Ghodke, Amit Kumar Sharma, Leonidas Matsakas, Alok Patel.
May 23, 2023 (v1)
Keywords: diesel engine, municipal mixed plastic waste, PCCI, plasto-oil, thermal brake efficiency.
Municipal mixed plastic waste (MMPW) recycling is an innovative way to turn environmental waste into energy fuels. In the present study, a thermochemical process was applied to depolymerize MMPW to produce hydrocarbon fuels known as plasto-oil. The obtained plasto-oil was blended with conventional diesel to test the performance of the PCCI-mode single-cylinder, four-stroke, direct-injection diesel engine. The PCCI combustion mixture was tested with 15% and 30% fuel vapor to ensure homogeneity with and without exhaust gas recirculation. The modified engine findings were compared to a standard conventional engine. At higher loads, PCCI combustion showed reduced emission of carbon monoxide and nitrogen oxides. While the thermal braking efficiency was marginally reduced at all engine loads while using the blends. The results showed that with and without 10% exhaust gas recirculation, an increase in air mix reduced NOx emissions; however, in the case of smoke emissions, an opposite trend wa... [more]
Mechanistic Exploration of Dendrite Growth and Inhibition for Lithium Metal Batteries
Yuanliang Chen, Xingping Yuan, Cuiping He, Qingyi Gou, Ni Yang, Gang Xie, Keyu Zhang, Yaochun Yao, Yanqing Hou.
May 23, 2023 (v1)
Subject: Materials
Keywords: anisotropy intensity of surface energy, dendrite growth, initial nucleation spacing, interfacial electrochemical driving force, Li metal battery, phasefield model.
Li metal has been considered an ideal anode in lithium batteries due to its high theoretical capacity of 3860 mAh·g−1 and lowest negative reduction potential of −3.040 V among the standard hydrogen electrodes. However, lithium dendrites can easily grow on the surface of the negative electrode during charging, which results in a short circuit of the battery and reduces its efficiency. This paper investigated dendrite growth and inhibition mechanisms in lithium metal batteries to improve battery life. The impacts of the initial nucleation spacing, surface energy anisotropy strength, and interfacial electrochemical driving force on lithium dendrite growth were analyzed with electrochemical experiments and mathematical models. The results showed that the smaller nucleation spacing inhibits the growth of dendrite side branches and reduces the roughness of lithium metal deposition on the negative electrode. A lower interfacial energy anisotropy strength can slow down the growth of dendrite t... [more]
Hydrogen Production from Supercritical Water Gasification of Model Compounds of Crude Glycerol from Biodiesel Industries
Kapil Khandelwal, Philip Boahene, Sonil Nanda, Ajay K. Dalai.
May 23, 2023 (v1)
Keywords: design of experiments, glycerol, Hydrogen, response surface methodology, supercritical water gasification.
Biodiesel production through transesterification results in a large quantity of crude glycerol as a byproduct, the utilization of which is technically and economically challenging. Because of the ability to efficiently process wet feedstocks, supercritical water gasification (SCWG) is utilized in this study to convert crude glycerol into hydrogen-rich syngas. A significant challenge addressed through this study is the decomposition routes of different heterogeneous components of crude glycerol during SCWG. Pure glycerol, methanol and oleic acid were investigated for SCWG as the model compounds of crude glycerol. SCWG of model compounds at temperature, pressure, feedstock concentration and reaction time of 500 °C, 23−25 MPa, 10 wt% and 1 h, respectively, revealed methanol to exhibit the highest H2 yield of 7.7 mmol/g, followed by pure glycerol (4.4 mmol/g) and oleic acid (1.1 mmol/g). The effects of feedstock concentration from 30 wt% to 10 wt% increased H2 yield from all model compound... [more]
Numerical Simulation of Gas-Solid Two-Phase Heat Transfer in a Kaolin Cyclone Cooling System
Shuai Xu, Junlin Xie, Shuxia Mei, Feng He, Runguo Li, Yuhua Deng, Chao Zhang, Xianming Zheng.
May 23, 2023 (v1)
Keywords: cooling systems, cyclone, Eulerian model, heat transfer, kaolin suspension calcination technology, numerical simulation.
The kaolin suspension calcination technology is currently gaining attention as a new process of calcining kaolin. In this paper, the cooling system of the kaolin suspension calcination process designed by CBMI Construction Co., Ltd. is simulated using ANSYS Fluent software to analyze the velocity field and temperature field of the gas−solid two-phase flow using the Eulerian model. A compiled UDF (User-Defined Function) is used to simulate the transfer of mass and heat from the downcomer tube to the different elements. The gas, coming from the gas outlet of the cyclone, enters the next level twin-cylinder cyclone in a spiral state. The results show that the airflow in the cyclone consists of an external spiral flow from the top to the bottom and an internal spiral flow from the bottom to the top. During the downward movement of the airflow, the outer spiral flow is continuously transformed into an inner cyclonic flow. The part of the airflow that rotates close to the inner cylinder is l... [more]
Numerical Investigation of Flow and Structural Characteristics of a Large High-Head Prototype Pump−Turbine during Turbine Start-Up
Xilong Yin, Xingxing Huang, Shaozheng Zhang, Huili Bi, Zhengwei Wang.
May 23, 2023 (v1)
Keywords: flow and structural characteristics, fluid–structure coupling, pump–turbine, stress concentration, turbine start-up.
Transient processes that occur in pumped storage power plants can cause high-pressure conditions, which in turn can result in vibrations in the pump−turbine structure and even damage to structural components. It is therefore crucial to research the transient process of the large pump−turbine units and the flow-induced vibrations of the structural components. The three-dimensional flow field and structural field models of a high-head prototype pump−turbine were constructed to study its flow characteristics and structural characteristics under the turbine start-up. Calculations and analyses were performed on the pressure variation and the flow-induced stress concentrations of the pump−turbine during start-up in turbine mode. The simulated pressure distributions during the turbine start-up were mapped onto the finite element calculation model of the structures of the pump−turbine to calculate the flow-induced stress concentrations. This study provides a reference to improve the design and... [more]
The Evolution of Energy Management Maturity in Organizations Subject to Mandatory Energy Audits: Findings from Italy
Annalisa Santolamazza, Vito Introna, Vittorio Cesarotti, Fabrizio Martini.
May 23, 2023 (v1)
Keywords: energy audit, Energy Efficiency, energy efficiency directive, energy management, maturity model.
Promoting energy efficiency is a key element of the strategic commitment of the European Community. Prominent among the binding measures established by the 2012 Energy Efficiency Directive to further this vision is the requirement for large companies to conduct energy audits every four years. After receiving the second cycle of energy audit reports in December 2019, a new description of the energy situation of Italian companies was made available. This presented the previously inaccessible possibility of comparing the two situations reported in 2015 and 2019 to assess the development of energy efficiency practices in organizations subject to the legislative obligation of energy audits in the country. To this end, in collaboration with the Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), a project was initiated with the aim of developing the tools and methodologies necessary to assess in more detail the evolution that has occurred in the... [more]
A Method for Assessing the Feasibility of Integrating Planned Unidirectional EV Chargers into the Distribution Grid: A Case Study in Danang, Vietnam
Nam Hoai Nguyen, Quynh T. Tran, Thao V. Nguyen, Nam Tran, Leon Roose, Saeed Sepasi, Maria Luisa Di Silvestre.
May 23, 2023 (v1)
Keywords: distribution grid, electric vehicles, fast chargers, unidirectional charger.
The journey towards transportation electrification started with electric vehicles and has attracted more and more attention on a global scale in recent years. EVs are seen as a substantial, effective, and urgent solution for transportation electrification. In this paper, we investigate the operation requirements for integrating charger stations into the distribution grid in Vietnam. We also propose a simple evaluation method for assessing the feasibility of integrating planned unidirectional EV chargers into the distribution grid. The assessment method is applied to two main distribution feeders in Danang, Vietnam, where the new charger stations are already planned to be deployed in 2025 and 2030. The results showed that with addition of pre-planned EV chargers, both feeders still meet operation requirements in 2025 and 2030. However, the feeder with voltage indices close to the limit needs to be considered for an upgrade in configuration.
Influence of Sustainable Strategic Management on Methane Projects as Exemplified by the Jastrzębska Spółka Węglowa S.A. Mining Company
Jacek Strojny, Krzysztof Witkowski, Sebastian Wąs.
May 23, 2023 (v1)
Subject: Other
Keywords: analytic hierarchy process, balanced scorecard, methane projects, mining industry, project management, scenario methods, strategic management, sustainable management.
This article presents research conducted in one of the largest mining companies in the EU—Jastrzębska Spółka Węglowa S.A. It relates to how the implementation of sustainable strategic management has affected methane projects. In the study, a literature analysis was first conducted, establishing the existence and significance of the research gap. Then, a group of experts from JSW S.A., during moderated workshops, prepared a multidimensional model describing the structure of the implementation of sustainable strategic management. The model was constructed and verified using the AHP method. As a result of the study, it was found that the implementation of sustainable strategic management resulted in a change of the company’s strategic priorities. Significant professionalization of management in the course of these projects was also observed. The most important and beneficial element of the implementation was the adoption of strategic goals related to the production of their very own energ... [more]
Prediction of Betavoltaic Battery Parameters
Eugene B. Yakimov.
May 23, 2023 (v1)
Keywords: betavoltaic cell, predictive accuracy, radioisotope source, semiconductor converter.
The approaches for predicting output parameters of betavoltaic batteries are reviewed. The need to develop a strategy for predicting these parameters with sufficient accuracy for the optimization of betavoltaic cell design without using the simple trial and error approach is discussed. The strengths and weaknesses of previously proposed approaches for the prediction are considered. Possible reasons for the difference between the calculated and measured parameters are analyzed. The depth dependencies of beta particles deposited energy for Si, SiC, GaN, and Ga2O3 and 20% purity 63Ni and titanium tritide as radioisotope sources are simulated using the Monte Carlo algorithm taking into account the full beta energy spectrum, the isotropic angular distribution of emitted electrons and the self-absorption inside the radioisotope source for homogeneously distributed emitting points. The maximum short circuit current densities for the same semiconductors and radioisotope sources are calculated.... [more]
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