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Records Added in March 2023
Records added in March 2023
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Showing records 3576 to 3600 of 12968. [First] Page: 140 141 142 143 144 145 146 147 148 Last
Neutral Current Reduction in Three-Phase Four-Wire Distribution Feeders by Optimal Phase Arrangement Based on a Full-Scale Net Load Model Derived from the FTU Data
Yih-Der Lee, Jheng-Lun Jiang, Yuan-Hsiang Ho, Wei-Chen Lin, Hsin-Ching Chih, Wei-Tzer Huang
March 24, 2023 (v1)
Subject: Optimization
Keywords: FTU, full-scale net load model, LCO, neutral current, power loss, PSO
An increase in the neutral current results in a malfunction of the low energy over current (LCO) protective relay and raises the neutral-to-ground voltage in three-phase, four-wire radial distribution feeders. Thus, the key point for mitigating its effect is to keep the current under a specific level. The most common approach for reducing the neutral current caused by the inherent imbalance of distribution feeders is to rearrange the phase connection between the distribution transformers and the load tapped-off points by using the metaheuristics algorithms. However, the primary task is to obtain the effective load data for phase rearrangement; otherwise, the outcomes would not be worthy of practical application. In this paper, the effective load data can be received from the feeder terminal unit (FTU) installed along the feeder of Taipower. The net load data consisting of customers’ power consumption and the power generation of distributed energy resources (DERs) were measured and tran... [more]
A Novel Space Vector Modulation Scheme for a 10-Switch Converter
Parviz Najafi, Abbas Houshmand Viki, Mahdi Shahparasti, S. Sajjad Seyedalipour, Edris Pouresmaeil
March 24, 2023 (v1)
Keywords: 10-switch converter, space vector, total harmonic distortion
Three-level converters have drawn extensive attention due to their ability to deliver high-quality power. High semiconductor count is the main drawback of three-level converters. As a solution to this, a 10-switch converter is presented, that has advantages over both two- and three-level converters, simultaneously, plus it is applicable to a variety of power ranges. However, the switching pattern of 10-switch converter is not as simple as standard three-level converter due to lack of medium vectors. This paper presents a novel space vector modulation (SVM) for a 10-switch converter to reduce total harmonic distortion (THD) and common mode voltage (CMV) of this converter in comparison to prior carrier-based modulation methods. A simplified, low-cost modulation algorithm for the converter is proposed. The designed switching sequence has aimed at a low output THD and enhancement of DC bus voltage utilization. The performance of the proposed SVM is then compared to upgraded sinusoidal PWM.... [more]
A Numerical Study on Fire Development in a Confined Space Leading to Backdraft Phenomenon
Aleksander Król, Małgorzata Król, Stanisław Krawiec
March 24, 2023 (v1)
Keywords: Ansys Fluent, backdraft, fire development, fire modeling
This paper presents the results of numerical experiments on fire development and the backdraft phenomenon. The numerical model of fire development built with the use of Ansys Fluent was then validated based on literature data taken from real fire experiments. Some theoretical foundations of airflow and combustion modelling were added. Some features of the numerical model, which allowed for its high accuracy to be achieved, were widely discussed. Since large buoyancy forces were involved, to reproduce the decrease of the atmospheric pressure with height, a variable static pressure was applied using UDF (user-defined function).The results showed good accordance taking into account both the temperature profiles and the distribution of the airflow velocity. Once the model was validated, the research was extended to examine the backdraft phenomenon. The results revealed characteristic phases of the phenomenon and the occurrence of the gravity current as well, which were reported by empirica... [more]
Evaluating Line Capacity with an Analytical UIC Code 406 Compression Method and Blocking Time Stairway
Ruxin Wang, Lei Nie, Yuyan Tan
March 24, 2023 (v1)
Keywords: blocking time theory, high-speed railway capacity, train headway, UIC Code 406
Railways around the world are experiencing growth in traffic flow, but the problem concerning how to optimize the utilization of capacity is still demands significant research. To accommodate the increasing traffic demand, the high-speed railway operator in China is interested in understanding the potential benefit of adopting reasonable headway to balance the safety and efficiency of train operations. In this study, a compress timetable scheduling model based on the UIC Code 406 method is presented to evaluate the line capacity. In this model, train headway is not pre-fixed as in the existing research, but considers the actual operating conditions and is calculated using actual running data. The results of the case study show that refined headway calculations generally have positive capacity effects.
Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes
Yi Liu, Zhaosheng Yu, Jiecheng Yang, Carl Wassgren, Jennifer Sinclair Curtis, Yu Guo
March 24, 2023 (v1)
Keywords: binary mixture of different particle shapes, discrete element method, granular shear flow, particle stacking and ordering, particle-phase stress
The effects of particle shape differences on binary mixture shear flows are investigated using the Discrete Element Method (DEM). The binary mixtures consist of frictionless rods and disks, which have the same volume but significantly different shapes. In the shear flows, stacking structures of rods and disks are formed. The effects of the composition of the mixture on the stacking are examined. It is found that the number fraction of stacking particles is smaller for the mixtures than for the monodisperse rods and disks. For binary mixtures with small particle shape differences, the mixture stresses are bounded by the stresses of the two corresponding monodisperse systems. However, for binary mixtures with large particle shape differences, the stresses of the mixtures can be larger than the stresses of the monodisperse systems at large solid volume fractions because larger differences in particle shape cause geometrical interference in packing, leading to stronger particle−particle in... [more]
Examination of EV Abilities to Provide Vehicle-to-Home Service in Low Voltage Installation
Paweł Kelm, Rozmysław Mieński, Irena Wasiak, Katarzyna Wojciechowska
March 24, 2023 (v1)
Keywords: ancillary services, electrical installation, EV motor inverter, home energy management system, on-board charger, vehicle-to-home
This paper deals with the application of an electric vehicle (EV) motor inverter and its batteries as an energy storage device supporting the operation of home electrical installation. This additional functionality of EV is called a Vehicle-to-Home (V2H) service. Two kind of services are considered: a peak shaving and an emergency power supply. The simulation model developed in the PSCAD program is presented. It allows for the examination of the EV battery control and operation during EV driving and parking. Additionally, it allows an evaluation of the availability of home installation for the V2H service. Control algorithms enabling the implementation of discussed work options are presented. Results of simulations are presented illustrating the EV control and operation in different operational modes.
An Unstructured Model for Anaerobic Treatment of Raw Cheese Whey for Volatile Fatty Acids Production
Claudio B-Arroyo, Antonio Lara-Musule, Ervin Alvarez-Sanchez, Gloria Trejo-Aguilar, Juan-Rodrigo Bastidas-Oyanedel, Eliseo Hernandez-Martinez
March 24, 2023 (v1)
Keywords: anaerobic fermentation, Dynamic Modelling, parametric estimation, pH and temperature effects
The whey is a byproduct of the dairy industry that, if not treated properly, can cause serious environmental pollution problems. Anaerobic treatment is an alternative for its recovery, since, in addition to reducing the organic load. it allows the generation of value-added products such as volatile fatty acids (VFA) and biogas. However, the process is very complex and requires specific operating conditions that guarantee its stability and favor the production of value-added compounds. In this work, an unstructured mathematical model is proposed to evaluate the dynamic behavior of the stages of the anaerobic degradation process of the whey (i.e., hydrolysis, acidogenesis, acetogenesis and methanogenesis). The proposed model considers the dynamic variation in pH during the experiment. To validate the model, an experimental set was carried out at pH and temperature conditions that favor the production of VFAs. Experimental results show that the anaerobic treatment of the raw cheese whey f... [more]
Comparison of the Wideband Power Sources Used to Supply Step-Up Current Transformers for Generation of Distorted Currents
Michal Kaczmarek, Piotr Kaczmarek
March 24, 2023 (v1)
Subject: Other
Keywords: generation of distorted current, higher harmonics, linear amplifier, PWM inverter, step-up current transformer, testing of current transformers, wideband power sources
In this paper a comparison of the wideband power sources of a pulse width modulation (PWM) inverter and a power supply composed of an audio power amplifier and a two-channel arbitrary generator is discussed. Their application is to supply a step-up current transformer for generation of the distorted current required to test the transformation accuracy of the distorted currents of the inductive current transformers. The proposed equations allow to calculate the maximum rms values of higher harmonic of distorted currents for its required main harmonic component. Moreover, they also enable the calculation of the maximum rms values of the main harmonic of the distorted current for which the required higher harmonic component may be obtained. This defines the usable bandwidth of the tested power source for their specific load. During work on high inductive impedance, the maximum voltage is the limitation that determines the higher harmonic value. While for resistive loads, the maximum curre... [more]
Fluid−Structure Interaction Numerical Analysis of a Small, Urban Wind Turbine Blade
Michal Lipian, Pawel Czapski, Damian Obidowski
March 24, 2023 (v1)
Keywords: composites, computational fluid dynamics (CFD), fluid–structure interaction (FSI), small wind turbine (SWT)
While the vast majority of the wind energy market is dominated by megawatt-size wind turbines, the increasing importance of distributed electricity generation gives way to small, personal-size installations. Due to their situation at relatively low heights and above-ground levels, they are forced to operate in a low energy-density environment, hence the important role of rotor optimization and flow studies. In addition, the small wind turbine operation close to human habitats emphasizes the need to ensure the maximum reliability of the system. The present article summarizes a case study of a small wind turbine (rated power 350 W @ 8.4 m/s) from the point of view of aerodynamic performance (efficiency, flow around blades). The structural strength analysis of the blades milled for the prototype was performed in the form of a one-way Fluid−Structure Interaction (FSI). Blade deformations and stresses were examined, showing that only minor deformations may be expected, with no significant i... [more]
Prediction of Air-Conditioning Energy Consumption in R&D Building Using Multiple Machine Learning Techniques
Jun-Mao Liao, Ming-Jui Chang, Luh-Maan Chang
March 24, 2023 (v1)
Keywords: building energy conservation, deep learning, electricity consumption, Machine Learning, research and development building
With the global increase in demand for energy, energy conservation of research and development buildings has become of primary importance for building owners. Knowledge based on the patterns in energy consumption of previous years could be used to predict the near-future energy usage of buildings, to optimize and facilitate more effective energy consumption. Hence, this research aimed to develop a generic model for predicting energy consumption. Air-conditioning was used to exemplify the generic model for electricity consumption, as it is the process that often consumes the most energy in a public building. The purpose of this paper is to present this model and the related findings. After causative factors were determined, the methods of linear regression and various machine learning techniques—including the earlier machine learning techniques of support vector machine, random forest, and multilayer perceptron, and the later machine learning techniques of deep neural network, recurrent... [more]
An Assessment of Wind Energy Potential for the Three Topographic Regions of Eritrea
Teklebrhan Negash, Erik Möllerström, Fredric Ottermo
March 24, 2023 (v1)
Keywords: Eritrea, global wind atlas, Renewable and Sustainable Energy, wind energy, wind power
This paper presents the wind energy potential and wind characteristics for 25 wind sites in Eritrea, based on wind data from the years 2000−2005. The studied sites are distributed all over Eritrea, but can roughly be divided into three regions: coastal region, western lowlands, and central highlands. The coastal region sites have the highest potential for wind power. An uncertainty, due to extrapolating the wind speed from the 10-m measurements, should be noted. The year to year variations are typically small and, for the sites deemed as suitable for wind power, the seasonal variations are most prominent in the coastal region with a peak during the period November−March. Moreover, Weibull parameters, prevailing wind direction, and wind power density recalculated for 100 m above ground are presented for all 25 sites. Comparing the results to values from the web-based, large-scale dataset, the Global Wind Atlas (GWA), both mean wind speed and wind power density are typically higher for t... [more]
A Machine Learning Pipeline for Demand Response Capacity Scheduling
Gautham Krishnadas, Aristides Kiprakis
March 24, 2023 (v1)
Keywords: data-driven, demand response, deployment, flexibility, large consumer building, load curtailment, Machine Learning, retail building, smart grid
Demand response (DR) is an integral component of smart grid operations that offers the necessary flexibility to support its decarbonisation. In incentive-based DR programs, deviations from the scheduled DR capacity affect the grid’s energy balance and result in revenue losses for the DR participants. This issue aggravates with increasing DR delivery from participants such as large consumer buildings who have limited standard methods to follow for DR capacity scheduling. Load curtailment based DR capacity availability from such consumers can be forecasted reliably with the help of supervised machine learning (ML) models. This study demonstrates the development of data-driven ML based total and flexible load forecast models for a retail building. The ML model development tasks such as data pre-processing, training-testing dataset preparation, cross-validation, algorithm selection, hyperparameter optimisation, feature ranking, model selection and model evaluation are guided by deployment-... [more]
A Hybrid Methodology to Study Stakeholder Cooperation in Circular Economy Waste Management of Cities
P. Giovani Palafox-Alcantar, Dexter V. L. Hunt, Chris D. F. Rogers
March 24, 2023 (v1)
Subject: Environment
Keywords: circular economy, cooperation, game theory, multi-criteria decision analysis, scenario analysis
Successful transitioning to a circular economy city requires a holistic and inclusive approach that involves bringing together diverse actors and disciplines who may not have shared aims and objectives. It is desirable that stakeholders work together to create jointly-held perceptions of value, and yet cooperation in such an environment is likely to prove difficult in practice. The contribution of this paper is to show how collaboration can be engendered, or discord made transparent, in resource decision-making using a hybrid Game Theory approach that combines its inherent strengths with those of scenario analysis and multi-criteria decision analysis. Such a methodology consists of six steps: (1) define stakeholders and objectives; (2) construct future scenarios for Municipal Solid Waste Management; (3) survey stakeholders to rank the evaluation indicators; (4) determine the weights for the scenarios criteria; (5) reveal the preference order of the scenarios; and (6) analyse the prefer... [more]
Design and Hardware Implementation Based on Hybrid Structure for MPPT of PV System Using an Interval Type-2 TSK Fuzzy Logic Controller
O. Fatih Kececioglu, Ahmet Gani, Mustafa Sekkeli
March 24, 2023 (v1)
Keywords: AIC, Interval Type-2 TSK fuzzy logic controller, MPPT
The major drawback of photovoltaic (PV) systems is their dependence on environmental conditions, such as solar radiation and temperature. Because of this dependency, maximum power point tracking (MPPT) control methods are used in PV systems in order to extract maximum power from the PV panels. This study proposes a controller with a hybrid structure based on angle of incremental conductance (AIC) method and Interval Type-2 Takagi Sugeno Kang fuzzy logic controller (IT2-TSK-FLC) for MPPT. MPPT performance of proposed hybrid controller is evaluated via detailed simulation studies and dSPACE-based experimental study. The results validate that the proposed hybrid controller offers fast-tracking speed, high stability, and robust performance against uncertainties arising from disturbance to inputs of the PV system.
System Characteristics Analysis for Energy Management of Power-Split Hydraulic Hybrids
Hyukjoon Kwon, Monika Ivantysynova
March 24, 2023 (v1)
Keywords: energy management, energy system modeling, hydraulic hybrid vehicle, power-split hybrid
Hydraulic hybrid powertrains provide an opportunity for specific applications, such as heavy-duty vehicles based on high-power density, which has not been included in other types of hybrid powertrains. Among the various architectures of hybrid vehicles, power-split hybrids have a greater possibility of producing better fuel efficiency than other hybrid architectures. This study analyzed the possible energy-saving characteristics of power-split hydraulic hybrid vehicles (HHVs); this has not been comprehensively described in previous studies. A typical configuration of power-split HHVs was modeled with the FTP-72 driving cycle using a novel simulation method that considered the dynamic and thermal behaviors together. The characteristics were analyzed in comparison to a power-split hydrostatic transmission (HST), which is designed with the same conditions except for hydraulic energy storage. The power-split HHV not only has a better fuel efficiency, but it also shows system energy-saving... [more]
Configurable DDS as Uniform Middleware for Data Communication in Smart Grids
Alaa Alaerjan, Dae-Kyoo Kim, Hua Ming, Hwimin Kim
March 24, 2023 (v1)
Keywords: communication, configuration, DDS, feature, publish–subscribe, smart grid
Data Distribution Service (DDS) has emerged as a potential solution for data communication challenges in smart grids. DDS is designed to support quality communication for large scale real-time systems through a wide range of QoS policies. However, a smart grid involves various types of communication applications running on different computing environments. Some environments have limited computing resources such as small memory and low performance, which makes it difficult to accommodate DDS. In this paper, we present a feature-based approach for tailoring DDS to configure lightweight DDS by selecting only the necessary features for the application in consideration of the resource constraints of its running environment. This allows DDS to serve as a uniform communication middleware across the smart grid, which is critical for interoperability. We analyze DDS in terms of features and design them using Unified Modeling Language (UML) and Object Constraint Language (OCL) based on inheritan... [more]
Miocene Biogas Generation System in the Carpathian Foredeep (SE Poland): A Basin Modeling Study to Assess the Potential of Unconventional Mudstone Reservoirs
Krzysztof Sowiżdżał, Tomasz Słoczyński, Anna Sowiżdżał, Bartosz Papiernik, Grzegorz Machowski
March 24, 2023 (v1)
Keywords: biogenic gas, Carpathian Foredeep, Miocene, Poland, unconventional gas resources
This paper presents the results of a research project aimed at evaluating the unconventional natural gas potential of the autochthonous Miocene sediments in the Polish part of the Carpathian Foredeep. The primary objective of the study was to re-evaluate the biogenic gas generation system within Miocene sediments, paying special attention to unconventional gas resources accumulated in tight mudstone formations. The four-dimensional (4D) petroleum system modeling method (PetroMod software) was used to reconstruct the basin geometry and three-dimensional (3D) evolution through a geological timescale, in particular the progress of gas generation, migration, and accumulation processes, as well as their consequences for gas exploration and development. Special attention was paid to the dynamics of gas generation processes and the advancement of sediment compaction and their time dependence, as well as to the progress and outcomes of gas migration and accumulation processes. The results indi... [more]
Assessment of the Worthwhileness of Efficient Driving in Railway Systems with High-Receptivity Power Supplies
Alejandro Cunillera, Adrián Fernández-Rodríguez, Asunción P. Cucala, Antonio Fernández-Cardador, Maria Carmen Falvo
March 24, 2023 (v1)
Subject: Optimization
Keywords: eco-driving, Energy Efficiency, optimization algorithm, power systems, railway transport
Eco-driving is one of the most important strategies for significantly reducing the energy consumption of railways with low investments. It consists of designing a way of driving a train to fulfil a target running time, consuming the minimum amount of energy. Most eco-driving energy savings come from the substitution of some braking periods with coasting periods. Nowadays, modern trains can use regenerative braking to recover the kinetic energy during deceleration phases. Therefore, if the receptivity of the railway system to regenerate energy is high, a question arises: is it worth designing eco-driving speed profiles? This paper assesses the energy benefits that eco-driving can provide in different scenarios to answer this question. Eco-driving is obtained by means of a multi-objective particle swarm optimization algorithm, combined with a detailed train simulator, to obtain realistic results. Eco-driving speed profiles are compared with a standard driving that performs the same runni... [more]
Life Cycle Assessment of a Commercially Available Organic Rankine Cycle Unit Coupled with a Biomass Boiler
Anna Stoppato, Alberto Benato
March 24, 2023 (v1)
Subject: Environment
Keywords: Biomass, carbon footprint of energy production, CHP, life cycle assessment, ORC
Organic Rankine Cycle (ORC) turbogenerators are a well-established technology to recover from medium to ultra-low grade heat and generate electricity, or heat and work as cogenerative units. High firmness, good reliability and acceptable efficiency guarantee to ORCs a large range of applications: from waste heat recovery of industrial processes to the enhancement of heat generated by renewable resources like biomass, solar or geothermal. ORC unit coupled with biomass boiler is one of the most adopted arrangements. However, despite biomass renewability, it is mandatory to evaluate the environmental impact of systems composed by boilers and ORCs taking into account the entire life cycle. To this purpose, the authors perform a life cycle assessment of a commercially available 150 kW cogenerative ORC unit coupled with a biomass boiler to assess the global environmental performance. The system is modelled in SimaPro using different approaches. Results show that the most impacting processes... [more]
Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory
Jun Liu, Jinchun Chen, Chao Wang, Zhang Chen, Xinglei Liu
March 24, 2023 (v1)
Keywords: cost-income model, energy internet, market entities, Nash equilibria, tripartite game
As an important driving force to promote the energy revolution, the emergence of the energy internet has provided new ideas for the marketization and flexibility of multi-energy transactions. How to realize multi-energy joint trading is a key issue in the development of the energy market. An urban energy internet market trading model among energy suppliers, energy service providers and the large users in the urban area, based on tripartite game theory, is established in this paper. Considering the cost−income function of each market entity and the basic market trading mechanism, a new game-tree search method is proposed to solve the Nash equilibria for the game model. The Nash equilibria of the tripartite game can be obtained, and the market transaction status corresponding to the Nash equilibria is analyzed from the perspective of the market transactions. The multi-energy joint transaction and market equilibria can be easily implemented for the bids and offers of the multiple energy e... [more]
A Study on the Out-of-Step Detection Algorithm Using Time Variation of Complex Power-Part II: Out-of-Step Detection Algorithm and Simulation Results
You-Jin Lee, O-Sang Kwon, Jeong-Yong Heo, Chul-Hwan Kim
March 24, 2023 (v1)
Keywords: complex power, equal area criterion, micro grid protection, out-of-step, power swing, smart grid protection, transient stability
One of the established unstable power swing (out-of-step) detection algorithms in micro grid/smart grid power systems uses a trajectory of apparent impedance in the R-X plane. However, this algorithm is not suitable for fast out-of-step conditions and it is hard to detect out-of-step conditions exactly. Another algorithm for out-of-step detection is using phasor measurement units (PMUs). However, PMUs need extra equipment. This paper presents the out-of-step detection algorithm using the trajectory of complex power. The trajectory of complex power and generator mechanical power is used to identify out-of-step conditions. A second order low pass digital filter is used to extract the generator mechanical power from the complex power. Variations of complex power are used to identify equilibrium points between stable and unstable conditions. The proposed out-of-step algorithm is based on the modification of assessment of a transient stability using equal area criterion (EAC). The proposed... [more]
Optimization of Perfluoropolyether-Based Gas Diffusion Media Preparation for PEM Fuel Cells
Riccardo Balzarotti, Saverio Latorrata, Marco Mariani, Paola Gallo Stampino, Giovanni Dotelli
March 24, 2023 (v1)
Subject: Optimization
Keywords: durability, gas diffusion layer, hydrophobic coatings, MPL production, PEMFC, perfluoropolyether
A hydrophobic perfluoropolyether (PFPE)-based polymer, namely Fluorolink® P56, was studied instead of the commonly used polytetrafluoroethylene (PTFE), in order to enhance gas diffusion media (GDM) water management behavior, on the basis of a previous work in which such polymers had already proved to be superior. In particular, an attempt to optimize the GDM production procedure and to improve the microporous layer (MPL) adhesion to the substrate was carried out. Materials properties have been correlated with production routes by means of both physical characterization and electrochemical tests. The latter were performed in a single PEM fuel cell, at different relative humidity (namely 80% on anode side and 60%/100% on cathode side) and temperature (60 °C and 80 °C) conditions. Additionally, electrochemical impedance spectroscopy measurements were performed in order to assess MPLs properties and to determine the influence of production procedure on cell electrochemical parameters. The... [more]
Fluid Selection of Transcritical Rankine Cycle for Engine Waste Heat Recovery Based on Temperature Match Method
Zhijian Wang, Hua Tian, Lingfeng Shi, Gequn Shu, Xianghua Kong, Ligeng Li
March 24, 2023 (v1)
Keywords: engines, fluid selection, pinch analysis, Rankine cycle, temperature match, waste heat recovery
Engines waste a major part of their fuel energy in the jacket water and exhaust gas. Transcritical Rankine cycles are a promising technology to recover the waste heat efficiently. The working fluid selection seems to be a key factor that determines the system performances. However, most of the studies are mainly devoted to compare their thermodynamic performances of various fluids and to decide what kind of properties the best-working fluid shows. In this work, an active working fluid selection instruction is proposed to deal with the temperature match between the bottoming system and cold source. The characters of ideal working fluids are summarized firstly when the temperature match method of a pinch analysis is combined. Various selected fluids are compared in thermodynamic and economic performances to verify the fluid selection instruction. It is found that when the ratio of the average specific heat in the heat transfer zone of exhaust gas to the average specific heat in the heat... [more]
The Comparison of Solar Energy Gaining Effectiveness between Flat Plate Collectors and Evacuated Tube Collectors with Heat Pipe: Case Study
Piotr Olczak, Dominika Matuszewska, Jadwiga Zabagło
March 24, 2023 (v1)
Keywords: evacuated tube collector, flat plate collector, Renewable and Sustainable Energy, solar thermal energy
In Poland, various solar collector systems are used; among them, the most popular are flat plate collectors (FPCs) and evacuated tube collectors (ETCs). The work presents two installations located at a distance of 80 km apart, working in similar external conditions. One of them contains 120 flat plate collectors and works for the preparation of hot water in a swimming pool building; the second one consists of 32 evacuated tube collectors with a heat pipe and supports the preparation of domestic hot water for a multi-family house. During the comparison of the two quite large solar installations, it was confirmed that the use of evacuated tube solar collectors shows a much better solar energy productivity than flat plate collectors for the absorber area. Higher heat solar gains (by 7.9%) were also observed in the case of the gross collector area. The advantages of evacuated tube collectors are observed mainly during colder periods, which allows for a steadier thermal energy production.
Will Electric Vehicles Be Killed (again) or Are They the Next Mobility Killer App?
Christian Thiel, Anastasios Tsakalidis, Arnulf Jäger-Waldau
March 24, 2023 (v1)
Subject: Energy Policy
Keywords: electric vehicles, energy policy, incentives, policy measures, transport electrification, transport policy
Electric vehicles (EVs) have been around for more than a hundred years. Nevertheless, their deployment has not been a sustainable success up until now. Many scientists, engineers and policymakers argue that EVs are a promising, maybe even indispensable option to achieve ambitious decarbonization goals, if powered by electricity from renewable energy sources. At the moment, the EVs market is gaining a lot of momentum and we may be near the point of no return for a sustained mass market deployment of electric vehicles. Many papers exist that describe future prospects of EVs. In our commentary we try to provide a bigger picture view and look at market and societal aspects. We analyze why previous generations of EVs were not successful and how current electric vehicles could become a sustainable success. We perform a semi-quantitative Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis and find that current electric vehicle designs are technologically on par with or better than c... [more]
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