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Showing records 16403 to 16427 of 43292. [First] Page: 1 654 655 656 657 658 659 660 661 662 Last
Numerical Study of Heat Transfer in Gravity-Driven Particle Flow around Tubes with Different Shapes
Xing Tian, Jian Yang, Zhigang Guo, Qiuwang Wang, Bengt Sunden.
March 24, 2023 (v1)
Keywords: discrete element method, gravity-driven particle flow, heat transfer enhancement.
In the present paper, the heat transfer of gravity-driven dense particle flow around five different shapes of tubes is numerically studied using discrete element method (DEM). The velocity vector, particle contact number, particle contact time and heat transfer coefficient of particle flow at different particle zones around the tube are carefully analyzed. The results show that the effect of tube shape on the particle flow at both upstream and downstream regions of different tubes are remarkable. A particle stagnation zone and particle cavity zone are formed at the upstream and downstream regions of all the tubes. Both the stagnation and cavity zones for the circular tube are the largest, and they are the smallest for the elliptical tube. As the particle outlet velocity (vout) changes from 0.5 mm/s to 8 mm/s at dp = 1.72 mm/s, when compared with the circular tube, the heat transfer coefficient of particle flow for the elliptical tube and flat elliptical tube can increase by 20.3% and 1... [more]
Experimental Validation of a Low-Energy-Consumption Heating Model for Recirculating Aquaponic Systems
Anh Tuan Le, Liang Wang, Yang Wang, Ngoc Tuan Vu, Daoliang Li.
March 24, 2023 (v1)
Keywords: helically coiled heat exchangers, recirculating aquaponic system, renewable energy sources, thermal energy storage, water heating.
Electrical energy is the highest energetic cost in recirculation aquaponic systems (RASs), especially for fish-tank water. Therefore, reducing energy consumption is one of the challenges in developing RAS models. In this study, eleven experimental setups, based on numerical models from an earlier investigator, were built to investigate. Among them, three additional cases (cases 9−11) investigated the transient discharging energy efficiency of thermal energy storage (TES). Cases 9−11 considered three temperature levels, namely, 65−75 °C, 71−81 °C, and 81−87 °C, with a mass flow rate of 0.166 kg/s. The results show that when heating 3.4 m3 of fish tank water from 24.5 °C to 28 °C, the average temperature error of the tank water was between 1.2% and 3.4%. The difference in the heat transfer rate was within ±4.2%. The error in the thermal efficiency was below 8.0%. The error range of the total required thermal energy was from 6.4% to 11.5%. Cases 9−11 used 5.6%, 6.4%, and 7.2% of the therm... [more]
An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
Massimiliano Luna, Giuseppe La Tona, Angelo Accetta, Marcello Pucci, Maria Carmela Di Piazza.
March 24, 2023 (v1)
Subject: Optimization
Keywords: electrical drives, EMI filter, Genetic Algorithm, optimal design, power converter, power density.
Power density is one of the most significant issues in designing electromagnetic interference (EMI) filters for power electronic-based applications. Therefore, an effective EMI filter design should consider both its capability to ensure the compliance with the related EMI standard limits and the possibility to build it by suitable components leading to the most compact configuration as well. To fulfill the above requirements, in this paper, an automatic procedure to get an improved design of EMI filters is proposed. Specifically, according to the proposed method, the values of filter parameters for both common mode (CM) and differential mode (DM) sections are selected by a genetic algorithm (GA) exploiting the in-circuit insertion loss, thus obtaining a more effective design. Besides, the components that set up the filter are selected by a rule-based procedure searching through a suitable database of commercial components to identify those allowing for the maximum power density. Experi... [more]
Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method
Zheming Tong, Yue Li.
March 24, 2023 (v1)
Keywords: Computational Fluid Dynamics, contaminant distribution, gappy proper orthogonal decomposition, reconstruction, sparse sensor observations.
Real-time estimation of three-dimensional field data for enclosed spaces is critical to HVAC control. This task is challenging, especially for large enclosed spaces with complex geometry, due to the nonuniform distribution and nonlinear variations of many environmental variables. Moreover, constructing and maintaining a network of sensors to fully cover the entire space is very costly, and insufficient sensor data might deteriorate system performance. Facing such a dilemma, gappy proper orthogonal decomposition (POD) offers a solution to provide three-dimensional field data with a limited number of sensor measurements. In this study, a gappy POD method for real-time reconstruction of contaminant distribution in an enclosed space is proposed by combining the POD method with a limited number of sensor measurements. To evaluate the gappy POD method, a computational fluid dynamics (CFD) model is utilized to perform a numerical simulation to validate the effectiveness of the gappy POD metho... [more]
Identification of Promising Alternative Mono-Alcohol Fuel Blend Components for Spark Ignition Engines
Saeid Aghahossein Shirazi, Thomas D. Foust, Kenneth F. Reardon.
March 24, 2023 (v1)
Keywords: advantaged gasoline blends, alcohols, biofuel, fuel properties, spark ignition engine.
Alcohols are attractive fuel blendstocks for spark ignition engines due to their high octane values and potentially positive influence on performance and emission. Although methanol, ethanol, and butanol have been widely studied, other biomass-derived alcohols may have similar or better properties. However, it is not feasible to experimentally investigate the fuel potential of every molecule. The goals of this study were to develop a methodology for rapid screening of a fuel property database for mono-alcohols and to identify alcohols with the potential of blending to produce advantaged motor gasolines. A database was developed with 13 fuel properties of all saturated C1−C10 mono-alcohols. A decision framework was used to evaluate alcohols suitable for blending in gasoline for spark ignition engines in two scenarios: low-range (up to 15 vol%) blends and high-range (greater than 40 vol%) blends. The low-range blend cases resulted in the identification of 48 alcohols. In the case of high... [more]
Asymmetric Information in Military Microgrid Confrontations—Evaluation Metric and Influence Analysis
Peng Jiang, Shengjun Huang, Tao Zhang.
March 24, 2023 (v1)
Subject: Optimization
Keywords: asymmetric information, attacker-defender model, microgrid confrontation, mixed integer linear programming.
Due to the wide integration of information technology in equipment and weapons, a stable and reliable power supply has become one of the pivotal factors in modern warfare to achieve victory. As a critical infrastructure to provide continuous energy supply during long-duration electrical outage, military microgrid always suffers fierce attacks from the enemy. In order to improve the defense effect, a lot of investigation has been made into resource allocation, Distributed Generator (DG) distribution, network reconfiguration, and so forth. Nevertheless, the information gap between defender and attacker has not been considered in the literature. Therefore, this paper is intended to highlight this information mismatch to appeal for community attention and evaluate its capability to improve defensive performance. Firstly, a novel assessment metric is proposed to identify the level of asymmetric information. Then, an Attacker-Defender (AD) model is developed to describe the zero-sum game bet... [more]
Establishment of a Two-Stage Turbocharging System Model and Analysis on Influence Rules of Key Parameters
Wei Tian, Defeng Du, Juntong Li, Zhiqiang Han, Wenbin Yu.
March 24, 2023 (v1)
Keywords: expansion ratio, matching model constraint equation, pressure ratio, two-stage turbocharger.
This paper took a two-stage turbocharged heavy-duty six-cylinder diesel engine as the research object and established a two-stage turbocharging system matching model. The influence rules between the two-stage turbocharging key parameters were analyzed, while summarizing an optimization method of key parameters of a two-stage turbocharger. The constraint equations for the optimal distribution principle of the two-stage turbocharger’s pressure ratio and expansion ratio were proposed. The results show that when the pressure ratio constraint equation and expansion ratio constraint equation are satisfied, the diesel engine can achieve the target pressure ratio, while the total energy consumption of the turbocharger is the lowest.
A Generalized Unit Commitment and Economic Dispatch Approach for Analysing the Polish Power System under High Renewable Penetration
Marcin Pluta, Artur Wyrwa, Wojciech Suwała, Janusz Zyśk, Maciej Raczyński, Stanisław Tokarski.
March 24, 2023 (v1)
Subject: Energy Policy
Keywords: economic dispatch, energy policy, energy prices, Modelling, power system, renewables, unit commitment.
The achievement of carbon neutrality requires a deep transformation of the Polish power sector. This paper analyses the impact of increased electricity generation from wind and solar technologies envisaged in the newest version of the Energy Policy of Poland until 2040 on the operation of dispatchable generators in 2030. The analysis was carried out using the Model of Economic Dispatch and Unit commitment for System Analysis (MEDUSA) model, which solves a mixed integer problem related to unit commitment and economic dispatch in electrical power production. At first, the model was validated based on the real operation data from 2018. Next, five scenarios were built to analyse the operation of the system in 2030. The overall result of the study is that the safest solution from the point of view of power system stability is to extend the decommissioning of coal units of 200 and 300 MW classes, to invest in renewable energy sources (RES) according to the energy policy, to build new gas pow... [more]
Evaluating the Potential for Combustion of Biofuels in Grate Furnaces
Małgorzata Wzorek.
March 24, 2023 (v1)
Keywords: ash deposition, Biofuels, combustion, emission, grate furnace, sewage sludge.
The paper assesses the impact of combustion of biofuels produced based on municipal sewage sludge in stoker-fired boilers on the amount of pollutant emissions and examines the tendency of ash deposition of biofuels formed during the combustion process. The combustion tests were performed in a laboratory system enabling simulation of a combustion process present in stoker-fired boilers. The study was conducted for three types of biofuels; i.e., fuel from sewage sludge and coal slime (PBS fuel), sewage sludge and meat and bone meal (PBM fuel) and fuel based on sewage sludge and sawdust (PBT) with particle size of 35 mm and 15 mm. This paper describes and compares the combustion process of biofuels with different granulation and composition and presents the results of changes in emission values of NOx, SO2, CO, and CO2. The emission results were compared with the corresponding results obtained during combustion of hard coal. The results showed that biofuels with lower particle sizes were... [more]
Electric Vehicle Charging and Discharging Algorithm Based on Reinforcement Learning with Data-Driven Approach in Dynamic Pricing Scheme
Jaehyun Lee, Eunjung Lee, Jinho Kim.
March 24, 2023 (v1)
Keywords: charger usage pattern, dynamic pricing, electric vehicle charging/discharging, kernel density estimation, reinforcement learning.
In the smart grid environment, the penetration of electric vehicle (EV) is increasing, and dynamic pricing and vehicle-to-grid technologies are being introduced. Consequently, automatic charging and discharging scheduling responding to electricity prices that change over time is required to reduce the charging cost of EVs, while increasing the grid reliability by moving charging loads from on-peak to off-peak periods. Hence, this study proposes a deep reinforcement learning-based, real-time EV charging and discharging algorithm. The proposed method utilizes kernel density estimation, particularly the nonparametric density function estimation method, to model the usage pattern of a specific charger at a specific location. Subsequently, the estimated density function is used to sample variables related to charger usage pattern so that the variables can be cast in the training process of a reinforcement learning agent. This ensures that the agent optimally learns the characteristics of th... [more]
Orthogonal Reference Surrogate Fuels for Operability Testing
Zhibin Yang, Robert Stachler, Joshua S. Heyne.
March 24, 2023 (v1)
Keywords: cold start ignition, operability testing, orthogonal reference surrogate fuel, surrogate formulation, sustainable aviation fuel.
The approval and evaluation process for sustainable aviation fuels (SAF) via ASTM D4054 is both cost- and volume-intensive, namely due to engine operability testing under severe conditions. Engine operability tests of combustor under figures of merit (FOM) limit phenomena are the fuel effects on lean blowout, high-altitude relight, and cold-start ignition. One method to increase confidence and reduce volume in tiered testing is to use surrogate fuels for manipulation of properties. Key fuel performance properties (surface tension, viscosity, density) for cold-start ignition was determined prior to this study. Prior work regarding this FOM has not considered the combination of these properties. A surface tension blending rule was validated and incorporated into the jet fuel blend optimizer (JudO). A generalized surrogate calculator for N-dimensional surrogate components and features was developed. Jet fuel surrogates developed in this study were a mixture of conventional and sustainable... [more]
Validation of SAM Modeling of Concentrated Solar Power Plants
Alberto Boretti, Jamal Nayfeh, Wael Al-Kouz.
March 24, 2023 (v1)
Keywords: concentrated solar power, Energy Storage, molten salt, solar energy.
The paper proposes the validation of the latest System Advisor Model (SAM) vs. the experimental data for concentrated solar power energy facilities. Both parabolic trough, and solar tower, are considered, with and without thermal energy storage. The 250 MW parabolic trough facilities of Genesis, Mojave, and Solana, and the 110 MW solar tower facility of Crescent Dunes, all in the United States South-West, are modeled. The computed monthly average capacity factors for the average weather year are compared with the experimental data measured since the start of the operation of the facilities. While much higher sampling frequencies are needed for proper validation, as monthly averaging dramatically filters out differences between experiments and simulations, computational results are relatively close to measured values for the parabolic trough, and very far from for solar tower systems. The thermal energy storage is also introducing additional inaccuracies. It is concluded that the code n... [more]
The Effect of the NaCl Bulk Concentration on the Resistance of Ion Exchange Membranes—Measuring and Modeling
Joost Veerman.
March 24, 2023 (v1)
Keywords: electrodialysis, ion exchange membranes, membrane model, membrane resistance, resistance measurement, reverse electrodialysis.
Ion exchange membranes are used in different fields of energy and separation technology such as electrodialysis, reverse electrodialysis, and fuel cells. Important aspects are permselectivity, resistance, and water transport. In this paper, we focus on the effect of the bulk NaCl concentration on the membrane resistance. Data from 36 publications containing 145 datasets using 6 different methods for measuring membrane resistance were compared. This study showed that the membrane resistance is dependent on the method of measuring. Two probable causes are identified: the application of reference electrodes and the presence of direct electrode−membrane contact. In addition, three physical and three phenomenological membrane models were tested by fitting these to the datasets. First, fits in the resistance domain were compared with fits in the conductivity domain. Resistance fits are sensitive to fluctuations in low concentrations, whereas fits in the conductivity domain are subject to non... [more]
Short-Range Structure of Ti0.63V0.27Fe0.10D1.73 from Neutron Total Scattering and Reverse Monte Carlo Modelling
Henrik Mauroy, Konstantin Klyukin, Marina G. Shelyapina, David A. Keen, Annett Thøgersen, Bjørn C. Hauback, Magnus H. Sørby.
March 24, 2023 (v1)
Keywords: BCC alloys, hydrogen storage, neutron total scattering, reverse Monte Carlo modelling.
Ti-V-based body-centered cubic (BCC) alloys have potential for large-scale hydrogen storage if expensive vanadium is substituted with much cheaper Fe-containing ferrovanadium. Use of ferrovanadium reduces the alloys’ hydrogen storage capacity. This is puzzling since the amount of Fe is low and hydrogen atoms are accommodated in interstitial sites which are partly coordinated by Fe in many intermetallic compounds. The present work is aimed at finding a structural explanation for Fe-induced capacity loss in Ti-V alloys. Since such alloys and their hydrides are highly disordered without long-range occupational order of the different metal species, it was necessary to employ a technique which is sensitive to local structure. Neutron total scattering coupled with reverse Monte Carlo modelling was thus employed to elucidate short-range atomic correlations in Ti0.63V0.27Fe0.10D1.73 from the pair distribution function. It was found that Fe atoms form clusters and that the majority of the vacan... [more]
Thermal Analysis of Power Rectifiers in Steady-State Conditions
Adrian Plesca, Lucian Mihet-Popa.
March 24, 2023 (v1)
Keywords: mathematical model, power rectifier, temperature distribution, thermal modeling and simulation.
Power rectifiers from electrical traction systems, but not only, can be irreversibly damaged if the temperature of the semiconductor junction reaches high values to determine thermal runaway and melting. The paper proposes a mathematical model to calculate the junction and the case temperature in power diodes used in bridge rectifiers, which supplies an inductive-resistive load. The new thermal model may be used to investigate the thermal behavior of the power diodes in steady-state regime for various values of the tightening torque, direct current through the diode, airflow speed and load parameters (resistance and inductance). The obtained computed values were compared with 3D thermal simulation results and experimental tests. The calculated values are aligned with the simulation results and experimental data.
Renewable Energy Powered Plugged-In Hybrid Vehicle Charging System for Sustainable Transportation
Elangovan Devaraj, Peter K. Joseph, Thundil Karuppa Raj Rajagopal, Senthilarasu Sundaram.
March 24, 2023 (v1)
Keywords: cascaded voltage doubler rectifier, interleaved converter, overlap time, PHEV, Renewable and Sustainable Energy, small transformer ratio, switching technique.
Energy transformation by power electronic converters is not feasible without the efficient use of renewable energy. The article tries to extend the use of renewable energy to PHEV battery charging. In PHEV, the battery is one of the major sources of stored energy. The converter used for charging these batteries is of crucial concern. The paper addresses various challenges in designing a DC to DC converter for battery charging in DC bus. An optimized converter is designed to work with renewable energy sources to accomplish a high boost ratio, low input current ripple, low output voltage ripple, high power efficiency, and high power density. A combination of two interleaved boost converters is effectively used with the overlap time switching to achieve a high voltage boost ratio in forming the DC bus. Transformer isolation is used to increase reliability and boost ratio further. The secondary side employs a series-connected voltage doubler. The converter boosts an input voltage of 24 V t... [more]
Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP−DEA Model
Jing Yang, Changhui Yang, Xiaojia Wang, Manli Cheng, Jingjing Shang.
March 24, 2023 (v1)
Keywords: data envelopment analysis (DEA), efficiency measurement, factor analysis, fuzzy analytic hierarchy process (FAHP), photovoltaic.
Driven by the transformation of the energy structure, China’s photovoltaic (PV) power generation industry has made remarkable achievements in recent years. However, there are more than 30 regions (cities/provinces) in China, and the economic, policy, technological, and the environmental conditions of each region are significantly different, which leads to a huge discrepancy in PV power generation efficiency. To address the imbalance in the development of PV industry, first, this paper employed the integrated fuzzy analytic hierarchy process−data envelopment analysis (FAHP−DEA) model to evaluate the PV power generation efficiency of 30 regions in China. Second, Tobit regression model was used to examine the effects of 9 potential influencing factors. Third, a concrete analysis was conducted, and discussion based on the efficiency rankings and regression results was made. Additionally, the FAHP−DEA model proposed in this study can also be applied to the efficiency evaluation issues of ot... [more]
Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation
Edmund Widl, Benedikt Leitner, Daniele Basciotti, Sawsan Henein, Tarik Ferhatbegovic, René Hofmann.
March 24, 2023 (v1)
Keywords: co-simulation, control and operation, design optimization, multi-carrier energy systems.
Innovations in today’s energy grids are mainly driven by the need to reduce carbon emissions and the necessary integration of decentralized renewable energy sources. In this context, a transition towards hybrid distribution systems, which effectively couple thermal and electrical networks, promises to exploit hitherto unused synergies for increasing efficiency and flexibility. However, this transition poses practical challenges, starting already in the design phase where established design optimization approaches struggle to capture the technical details of control and operation of such systems. This work addresses these obstacles by introducing a design approach that enables the analysis and optimization of hybrid thermal-electrical distribution systems with explicit consideration of control. Based on a set of key prerequisites and modeling requirements, co-simulation is identified as the most appropriate method to facilitate the detailed analysis of such systems. Furthermore, a metho... [more]
A Piezoelectric Harvesting Interface with Capacitive Partial Electric Charge Extraction for Energy Harvesting from Irregular High-Voltage Input
Muhammad Bilawal Khan, Hassan Saif, Yoonmyung Lee.
March 24, 2023 (v1)
Keywords: capacitive partial electric charge extraction, energy harvester, harvesting interface, high-voltage harvesting, piezoelectric generator.
A fully integrated piezoelectric energy harvesting interface is proposed for harvesting energy from irregular human motion. To handle irregular pulse inputs generated by the piezoelectric transducer (PZT), the proposed harvesting interface includes a wake-up controller that activates the harvesting interface only when human motion is detected and deformation is applied on the piezoelectric material, thereby keeping static power loss low. The PZT output voltage is increased to its peak voltage by removing any type of external load capacitance seen by the PZT during its deformation. Once the peak voltage is detected, a multi-voltage conversion-ratio-based switched-capacitor circuit is activated to transfer PZT-generated energy to the battery in multiple ratio steps to maximize the conversion efficiency, with the help of a carefully designed harvesting controller. To deal with open-circuit voltages (VOCS) higher than the maximum voltage tolerated (VMAX) by available technology, capacitive... [more]
Public Preferences in a Shifting Energy Future: Comparing Public Views of Eight Energy Sources in North America’s Pacific Northwest
Shawn Olson Hazboun, Hilary Schaffer Boudet.
March 24, 2023 (v1)
Subject: Energy Policy
Keywords: energy policy, fossil fuels, public opinion, Renewable and Sustainable Energy, social acceptability.
The U.S. and Canada continue to face major changes in energy production. Mounting awareness of the climate crisis has placed increasing importance on developing renewable energy sources, however, advances in fossil fuel extraction technology have opened vast domestic reserves of oil and natural gas. Public preferences for energy policy play a role in determining energy futures, but researchers rarely simultaneously compare public views across multiple renewable and non-renewable energies or across country boundaries. Here, we used a 2019 online survey sample (n = 1500) to compare predictors of support for eight fuel sources for electricity generation in British Columbia, Canada, and Washington and Oregon, USA. Results indicate the highest support overall for renewables (wind, solar, wave/tidal energy, geothermal) and the lowest for fossil fuels (coal and natural gas), nuclear, and hydropower. Mixed-effects regression modeling indicates that views on climate and the balance between envi... [more]
A Method to Introduce Building Performance Simulation to Beginners
Niko Gentile, Jouri Kanters, Henrik Davidsson.
March 24, 2023 (v1)
Keywords: 3D modelling, BPS, building performance simulation, energy and buildings, energy simulation, higher education, learning, pedagogy, SOLO taxonomy, teaching, visual programming.
Competence in performing Building Performance Simulations (BPS) is a fundamental asset for an energy specialist. However, teaching BPS to new students can be challenging, often due to the overwhelming capabilities of the software. The consequences for students are frustration and lack of confidence using the software, dividing group work based on previous expertise and, most importantly, the inability to predict and critically analyse results due to the superficial understanding of simulations. This paper presents and evaluates a simple method named ‘control method’ which is intended to introduce BPS in classes where students have a limited experience working with BPS, significantly different educational backgrounds, and where the time to teach BPS in class is limited. The method is built around the Structure of Observed Learning Outcomes taxonomy. It aims to provide the students with a basic understanding of the input-output relationship between parameters, prompting the use of BPS in... [more]
Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm
Abdelilah Chalh, Aboubakr El Hammoumi, Saad Motahhir, Abdelaziz El Ghzizal, Umashankar Subramaniam, Aziz Derouich.
March 24, 2023 (v1)
Keywords: Drift problem, MPPT algorithm, Proteus, PV Simulator.
The real implementation of the maximum power point tracking (MPPT) controllers for the photovoltaic (PV) systems is still a big challenge for researchers working in this field. Often, they use simulation tools to assess the performance of their MPPT algorithms before actual implementation. In this context, this paper aims to propose a trusted simulation of a PV system designed under Proteus software. The proposed PV simulator can be used to verify and evaluate the performance of MPPT algorithms with a closer approximation to the real implementation. The main advantage of this model that it contains a real microcontroller, as can be found in reality, so that same code for the MPPT algorithm used in the simulation will be used in real implementation. In contrast, when using (Powersim Software) PSIM or Matlab/Simulink, the code of the algorithm must be rewritten once the real experiment begins, because these tools don’t provide a microcontroller or an electronic board in which our algorit... [more]
A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems
Kiki Ayu, Akilu Yunusa-Kaltungo.
March 24, 2023 (v1)
Keywords: asset management, case study, energy systems, engineering failure analysis, maintenance strategies, power transformers.
The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valua... [more]
A Procedure to Determine the Droop Constants of Voltage Controllers Coping with Multiple DG Interactions in Active Distribution Systems
Giuseppe Fusco, Mario Russo.
March 24, 2023 (v1)
Keywords: active distributed generation, control system stability, decentralized control, droop control, interaction measure, MIMO modeling, voltage/reactive power control.
In modern distribution systems, the presence of an increasing amount of Distributed Generation (DG) systems causes over-/under-voltage problems, due to the reverse power flows. To face these problems, the voltage-reactive power droop controllers of DG systems are commonly used for their simplicity and are required by international standards. On the other hand, the interaction among voltage droop controllers of different DG systems may introduce instability. The paper presents an effective procedure to determine the droop constants of voltage-reactive power controllers for multiple DG systems. Firstly, a multi-input multi-output model of the distribution system is introduced. Then, using the concept of the interaction measure under decentralized control, a simple constraint is added to the single-input single-output design of each droop controller. Such a constraint guarantees stability with respect to the interaction among the voltage droop controllers of all the DG systems. Eventually... [more]
Evaluation of Load Matching Indicators in Residential PV Systems-the Case of Cyprus
Vladimir Z. Gjorgievski, Nikolas G. Chatzigeorgiou, Venizelos Venizelou, Georgios C. Christoforidis, George E. Georghiou, Grigoris K. Papagiannis.
March 24, 2023 (v1)
Keywords: load matching indicators, photovoltaics, self-consumption, self-sufficiency.
Three load matching indicators (self-consumption rate, self-sufficiency rate, loss of load probability) and the CO2 emissions were evaluated for 55 Cypriot households with 3 kWp rooftop photovoltaic (PV) generators. The calculations were performed using 30-minute generation and consumption data from a large scale smart meter project in Cyprus. To investigate the effects of recent advances in local legislation, an analysis for higher PV capacities (5 kWp and 10 kWp) was also performed. The PV generation profiles for 5 kWp and 10 kWp PVs were obtained by scaling the 3 kWp PV generation profiles. The results showed that the self-consumption of the analyzed households varied seasonally, as it was related to their heating and cooling demand. More interestingly, the ratio between the households’ annual electricity generation and demand, formally defined here as generation-to-demand ratio (GTDR), was found to be related to the value ranges of the studied load matching indicators. Hence, on av... [more]
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