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Showing records 6728 to 6752 of 43292. [First] Page: 1 267 268 269 270 271 272 273 274 275 Last
Impact of Control System Model Parameters on the Obstacle Avoidance by an Autonomous Car-Trailer Unit: Research Results
Leon Prochowski, Mateusz Ziubiński, Patryk Szwajkowski, Mirosław Gidlewski, Tomasz Pusty, Tomasz Lech Stańczyk.
April 20, 2023 (v1)
Keywords: autonomous motor vehicle with a trailer, control system of an autonomous motor vehicle, critical road situations, mathematical modelling motor vehicle with a trailer, safety of autonomous motor vehicle, vehicle trajectory planning.
The introduction of autonomous cars will help to improve road traffic safety, and the use of a cargo trailer improves the energy efficiency of transport. One of the critical (collision) road situations has been considered, where immediate counteraction is required in a space that has been only partly defined. This research work was aimed at determining the impact of the trajectory planning method and the values of some parameters of the control system on the feasibility of safe avoidance of an obstacle that has suddenly appeared. The obstacle is assumed to be a motor vehicle moving on a road intersection along a collision path in relation to the autonomous car-trailer unit (CT unit) travelling at high speed. Analysis of cooperation between several non-linear models (representing the car, trailer, tyre−road interaction, and driving controller) has been carried out. Mathematical models of the control system and the CT unit have been built. The process of selection of temporary and variab... [more]
Sensitivity Study on the Correlation Level of Seismic Failures in Seismic Probabilistic Safety Assessments
Geon Gyu Choi, Woo Sik Jung, Seong Kyu Park.
April 20, 2023 (v1)
Keywords: multi-unit core damage frequency (MUCDF), multi-unit PSA (MUPSA), seismic common cause failure (CCF), seismic correlation, single-unit core damage frequency (SUCDF), site core damage frequency (SCDF).
It is popular that correlated seismic failures spread over the fault tree of a seismic probabilistic safety assessment (PSA) for a nuclear power plant (NPP). To avoid the calculational difficulty of core damage frequency (CDF), the fault tree has been simplified by replacing correlated seismic failures with one typical seismic failure by assuming a full correlation among the correlated seismic failures. Then, the approximate seismic CDF of a seismic single-unit PSA (SUPSA) has been calculated for decades with this simplified SUPSA fault tree. Furthermore, current seismic multi-unit PSAs (MUPSAs) have been performed with imperfect seismic MUPSA models that were generated by combining such imperfect seismic SUPSA fault trees. The authors of this study recently developed a method that can calculate an accurate seismic CDF by converting correlated seismic failures into seismic common cause failures (CCFs). In this study, accurate and imperfect MUPSA models were created and their seismic CD... [more]
A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique
Mikhail Demianenko, Carlo Iapige De Gaetani.
April 20, 2023 (v1)
Keywords: Artificial Neural Networks, BIM, design optioonering, energy analyses, process automation, transfer learning.
One of the main benefits of Building Information Modelling is the capability of improving the decision-making process thanks performing what-if tests on digital twins of the building to be realized. Pairing BIM models to Building Energy Models allows designers to determine in advance the energy consumption of the building, improving sustainability of the construction. The challenge is to consider as many elements involved in the energy balance as possible and shuffling their parameters within a certain range. In this work, the automatic creation of a relevant set of design options to be analyzed for searching the optimum has been carried out. Firstly, the usual workflow that would be applied manually has been automatically followed by running scripts and codes, depending just on the initial setup given by the user. Although the procedure is very resource consuming, the main advancement relies in the reduction of the manual intervention and the possibility of creating large datasets of... [more]
The Study of the Faba Bean Waste and Potato Peels Recycling for Pellet Production and Usage for Energy Conversion
Aleksandra Minajeva, Algirdas Jasinskas, Rolandas Domeika, Edvardas Vaiciukevičius, Egidijus Lemanas, Stanisław Bielski.
April 20, 2023 (v1)
Keywords: bean waste, calorific value, emissions, pellet, potato peels, solid biofuel.
The article presents the results of a study on the preparation and use of faba bean waste and potato peel pellets for energy purposes. Physical and mechanical characteristics (moisture, density, ash content) of faba bean waste and potato peel pellets were investigated. The largest fraction of flour was formed on a sieve with 1 mm holes: faba bean waste—28.2 ± 2.02 g, potato peels—29.09 ± 0.73 g. For this experiment, samples were taken by mixing faba bean waste (four variants) and potato peel in the ratio of 1:1; 1:2; 1:3; 1:4 by volume (12 samples). It was found in this study that the density of pellets (DM) ranged from 1226.22 ± 13.88 kgm−3 to 1349.79 ± 6.79 kgm−3. The pellet moisture ranged from 6.70 ± 0.04% to 3.64 ± 0.13%. The lower calorific value of dry fuel pellets ranged from 15.27 ± 0.43 MJkg−1 to 16.02 ± 0.50 MJkg−1. The ash content of the pellets ranged from 8.05 ± 0.57% to 14.21 ± 0.05%. The ST temperature of the experimentally measured mixture of faba bean waste and potato... [more]
Demand Response Alert Service Based on Appliance Modeling
Ioanna-M. Chatzigeorgiou, Christos Diou, Kyriakos C. Chatzidimitriou, Georgios T. Andreou.
April 20, 2023 (v1)
Keywords: appliance modeling, artificial intelligence applied to power systems, data analytics, demand response, demand side management, flexibility, peak shaving, smart grid.
Demand response has been widely developed during recent years to increase efficiency and decrease the cost in the electric power sector by shifting energy use, smoothening the load curve, and thus ensuring benefits for all participating parties. This paper introduces a Demand Response Alert Service (DRAS) that can optimize the interaction between the energy industry parties and end users by sending the minimum number of relatable alerts to satisfy the transformation of the load curve. The service creates appliance models for certain deferrable appliances based on past-usage measurements and prioritizes households according to the probability of the use of their appliances. Several variations of the appliance model are examined with respect to the probabilistic association of appliance usage on different days. The service is evaluated for a peak-shaving scenario when either one or more appliances per household are involved. The results demonstrate a significant improvement compared to a... [more]
Cultivation Method Effect on Schizochytrium sp. Biomass Growth and Docosahexaenoic Acid (DHA) Production with the Use of Waste Glycerol as a Source of Organic Carbon
Natalia Kujawska, Szymon Talbierz, Marcin Dębowski, Joanna Kazimierowicz, Marcin Zieliński.
April 20, 2023 (v1)
Keywords: cultivation methods, docosahexaenoic acid, glycerol, heterotrophic culture, microalgae.
Inexpensive carbon sources offering an alternative to glucose are searched for to reduce costs of docosahexaenoic acid production by microalgae. The use of waste glycerol seems substantiated and prospective in this case. The objective of this study was to determine the production yield of heterotrophic microalgae Schizochytrium sp. biomass and the efficiency of docosahexaenoic acid production in various types of cultures with waste glycerol. Cultivation conditions were optimized using the Plackett−Burman method and Response Surface Methodology. The highest technological performance was obtained in the fed-batch culture, where the concentration of Schizochytrium sp. biomass reached 103.44 ± 1.50 g/dm3, the lipid concentration in Schizochytrium sp. biomass was at 48.85 ± 0.81 g/dm3, and the docosahexaenoic acid concentration at 21.98 ± 0.36 g/dm3. The highest docosahexaenoic acid content, accounting for 61.76 ± 3.77% of total fatty acids, was determined in lipid bodies of the Schizochytr... [more]
Development of a Flexible Framework Multi-Design Optimization Scheme for a Hand Launched Fuel Cell-Powered UAV
Zaid O. Alrayes, Mohamed Gadalla.
April 20, 2023 (v1)
Subject: Optimization
Keywords: endurance, MDO, MUAV, PEMFC.
This paper presents different methods for the design of a hand-launchable, fixed wing, fuel cell-powered unmanned aerial vehicle (UAV) to maximize flight endurance during steady level flight missions. The proposed design methods include the development of physical models for different propulsion system components. The performance characteristics of the aircraft are modeled through empirical contributing analyses in which each analysis corresponds to an aircraft subsystem. The contributing analyses are collected to form a design structure matrix which is included into a multi-disciplinary analysis to solve for the design variables over a defined design space. The optimal solution is found using a comprehensive optimization tool developed for long endurance flight missions. Optimization results showed a significant improvement in UAV flight endurance that reached up to 475 min with take-off ratio equals to 59 min/kg. Wind tunnel and bench-top tests and HiL simulation tests are performed... [more]
Off-Design Dynamic Performance Analysis of a Solar Aided Coal-Fired Power Plant
Vinod Kumar, Liqiang Duan.
April 20, 2023 (v1)
Keywords: off-design dynamic performance, parabolic trough collector, solar aided coal-fired power plant, system parameter variation, typical day analysis.
Coal consumption and CO2 emissions are the major concerns of the 21st century. Solar aided (coal-fired) power generation (SAPG) is paid more and more attention globally, due to the lesser coal rate and initial cost than the original coal-fired power plant and CSP technology respectively. In this paper, the off-design dynamic performance simulation model of a solar aided coal-fired power plant is established. A 330 MW subcritical coal-fired power plant is taken as a case study. On a typical day, three various collector area solar fields are integrated into the coal-fired power plant. By introducing the solar heat, the variations of system performances are analyzed at design load, 75% load, and 50% load. Analyzed parameters with the change of DNI include the thermal oil mass flow rate, the mass flow rate of feed water heated by the solar energy, steam extraction mass flow rate, coal consumption, and the plant thermal efficiency. The research results show that, as DNI increases over a day... [more]
Computing Localized Breakthrough Curves and Velocities of Saline Tracer from Ground Penetrating Radar Monitoring Experiments in Fractured Rock
Peter-Lasse Giertzuch, Alexis Shakas, Joseph Doetsch, Bernard Brixel, Mohammadreza Jalali, Hansruedi Maurer.
April 20, 2023 (v1)
Subject: Materials
Keywords: flow and transport, fractured rock, GPR, reservoir monitoring, tracer test.
Solute tracer tests are an established method for the characterization of flow and transport processes in fractured rock. Such tests are often monitored with borehole sensors which offer high temporal sampling and signal to noise ratio, but only limited spatial deployment possibilities. Ground penetrating radar (GPR) is sensitive to electromagnetic properties, and can thus be used to monitor the transport behavior of electrically conductive tracers. Since GPR waves can sample large volumes that are practically inaccessible by traditional borehole sensors, they are expected to increase the spatial resolution of tracer experiments. In this manuscript, we describe two approaches to infer quantitative hydrological data from time-lapse borehole reflection GPR experiments with saline tracers in fractured rock. An important prerequisite of our method includes the generation of GPR data difference images. We show how the calculation of difference radar breakthrough curves (DRBTC) allows to ret... [more]
Decentral Energy Generation Potential of Anaerobic Digestion of Black Water and Kitchen Refuse for Eco-District Planning
Soufia Mohammadi, Pilar Monsalvete Álvarez de Uribarri, Ursula Eicker.
April 20, 2023 (v1)
Keywords: anaerobic digestion, biogas, blackwater and kitchen refuse, Modelling.
Biogas technology is an important alternative energy source worldwide. Blackwater and kitchen refuse represent ideal waste streams for bioenergy recovery through anaerobic co-digestion. Modeling of the biokinetics of anaerobic digestion on several aspects, such as microbial activity, substrate degradation, and methane production, from co-digestion of black water (BW) and kitchen refuse (KR) was the objective of this research. A mathematical model was developed towards a simulation based on mass balances on biomass, the organic substrate, and biogas. The model was implemented in INSEL and experimental data from the literature were used for model validation. The study shows that the simulation results fit well with the experimental data. The energy consumption and generation potential of anaerobic co-digestion of BW and KR were calculated to investigate if the produced biogas could supply the digester’s energy demand. This study can be used to pre-design anaerobic digestion systems... [more]
The Significance of the Adaptive Thermal Comfort Practice over the Structure Retrofits to Sustain Indoor Thermal Comfort
Aiman Albatayneh, Mustafa Jaradat, Mhd Bashar AlKhatib, Ramez Abdallah, Adel Juaidi, Francisco Manzano-Agugliaro.
April 20, 2023 (v1)
Subject: Environment
Keywords: adaptive thermal comfort, building retrofits, built environment, energy saving.
Any building’s design should sustain thermal comfort for occupants and promote less energy usage during its lifetime using accurate building retrofits to convert existing buildings into low-energy buildings so that the heating and cooling loads can be minimized. Regarding the methodology adopted in this research, an energy model of an educational building located at the German Jordanian University in Jordan was constructed utilizing DesignBuilder computer software. In addition, it was calibrated utilizing real energy consumption data for a 12-month simulation of energy performance. Subsequently, a computerized evaluation of the roles of building envelope retrofits or the adaptive thermal comfort limits in the reduction of the overall building energy consumption was analyzed. The results of the study show that the current building’s external wall insulation, roof insulation, glazing, windows, and external shading devices are relatively energy-efficient but with high cost, resulting in s... [more]
The Impact of Oil Price on Transition toward Renewable Energy Consumption? Evidence from Russia
Rıdvan Karacan, Shahriyar Mukhtarov, İsmail Barış, Aykut İşleyen, Mehmet Emin Yardımcı.
April 20, 2023 (v1)
Keywords: CCR, income, oil price, Renewable and Sustainable Energy, Russia, VECM.
This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be interpreted as a sign of issue that stems from higher oil prices and slows the transition from conventional to renewable energy sources. Additionally, we found that there is a positive and statistically significant influence of real GDP per capita as a proxy of income on renewable energy consumption, whereas the carbon dioxide emissions have a negative and statistically insignificant influence on r... [more]
Towards the Development of Digital Manufacturing Ecosystems for Sustainable Performance: Learning from the Past Two Decades of Research
Abdulrazak F. Shahatha Al-Mashhadani, Muhammad Imran Qureshi, Sanil S. Hishan, Mohd Shamsuri Md Saad, Yamunah Vaicondam, Nohman Khan.
April 20, 2023 (v1)
Subject: Environment
Keywords: digital manufacturing, digital technologies, digital transformation, ecosystem, IoTs, Sustainability.
Although the Internet of Things (IoT), advanced manufacturing technologies, and cloud manufacturing contribute to developing a digital manufacturing ecosystem that enhances energy efficiency and resource utilization, manufacturing processes are vulnerable to timely production and delivery. The digital manufacturing systems in Industrial Revolution 4.0 (IR 4.0) minimized the human-technology interactions to foster productivity and material flow. However, there is scarce research to gauge the efficiency of these digital technologies in the entire manufacturing process; also, little is known about the collaborative efforts among countries to achieve sustainable manufacturing performance through the digitalization of the production process. Thus, this systematic review aimed to highlight the effectiveness of the digital manufacturing systems for sustainable product development and the collaborative research on the subject. We selected 52 research articles for this review by following the 2... [more]
Characteristics of Pyrolysis and Low Oxygen Combustion of Long Flame Coal and Reburning of Residues
Hua Wang, Wei Zhang, Haihui Xin, Deming Wang, Cuicui Di, Lu Liu.
April 20, 2023 (v1)
Keywords: long flame coal, low oxygen combustion, pyrolysis, reburning, thermal analysis.
To further understand the problems of coal combustion and coalfield fire reignition, this paper researched the reaction characteristics of coal pyrolysis and low oxygen combustion and the reburning oxidation characteristics of residual structure by thermal analysis methods. The results show that temperature promotes both pyrolysis and low oxygen combustion reactions, but low oxygen combustion reaction is more sensitive to temperature changes. As the constant temperature rises, the mass reduction rate of low oxygen combustion of coal samples reaches 80% on average, which is 4 times that of pyrolysis, and the variations of thermogravimetric parameters are also significantly higher than those of pyrolysis. However, the higher the pyrolysis degree of the residues, the stronger their oxidizability, which greatly enhances the intensity and concentration of the secondary combustion, and the mass of residues is reduced by 90% on average. Conversely, because the combustible components are conti... [more]
The Effect of RME-1-Butanol Blends on Combustion, Performance and Emission of a Direct Injection Diesel Engine
Wojciech Tutak, Arkadiusz Jamrozik, Karol Grab-Rogaliński.
April 20, 2023 (v1)
Keywords: biodiesel, Butanol, combustion stability, combustion stages, emission.
The main objective of this study was assessment of the performance, emissions and combustion characteristics of a diesel engine using RME−1-butanol blends. In assessing the combustion process, great importance was placed on evaluating the stability of this process. Not only were the typical COVIMEP indicators assessed, but also the non-burnability of the characteristic combustion stages: ignition delay, time of 50% heat release and the end of combustion. The evaluation of the combustion process based on the analysis of heat release. The tests carried out on a 1-cylinder diesel engine operating at a constant load. Research and evaluation of the combustion process of a mixture of RME and 1-butanol carried out for the entire range of shares of both fuels up to 90% of 1-butanol energetic fraction. The participation of butanol in combustion process with RME increased the in-cylinder peak pressure and the heat release rate. With the increase in the share of butanol there was noted a decrease... [more]
The Carbon-Neutral Energy Consumption and Emission Volatility: The Causality Analysis of ASEAN Region
Shu Wu, Majed Alharthi, Weihua Yin, Qaiser Abbas, Adnan Noor Shah, Saeed ur Rahman, Jamal Khan.
April 20, 2023 (v1)
Keywords: ASEAN, carbon-neutral, climate change, granger causality, green energy.
The use of renewable energy sources and carbon emissions has been debated from various perspectives throughout recent decades. However, the causal relationship between green energy sources and carbon emissions volatility has received limited attention. This study aims to close a knowledge gap in this area. The current study analyzes the renewable energy sources (wind, hydro, and geothermal) and carbon emissions of four ASEAN countries (Indonesia, Thailand, Vietnam, and the Philippines) between 2000 and 2019. The present study combined Chudik and Pesaran’s (2015) newly developed Dynamic Common Correlated Effects (DCCE) with cutting-edge investigation tools such as first- and second-generation unit root tests; CS-dependence; Variance inflation factor test for multicollinearity; and Pedroni, Kao, and Wester Lund tests of co-integration. The Granger causality test is also used to check the short-term and long-term causal effects within the renewable energy sources and green energy sources,... [more]
The Effects of Informational Feedback on the Energy Consumption of Online Services: Some Evidence for the European Union
Ana Salomé García-Muñiz, María Rosalía Vicente.
April 20, 2023 (v1)
Subject: Environment
Keywords: consumer efficacy, energy consumption, environment, information and communication technologies (ICT), informational feedback, internet.
Information and Communication Technologies (ICT) have scarcely been considered in studies on green consumption. Likewise, little attention has been paid to the effects of informational feedback on household energy ICT-related consumption. This paper aims to fill these gaps in the literature. Using microdata from a representative sample of the European Union population, this paper analyzes, in a novel way, whether the provision of information about the energy consumed by online services would make internet users change to a greener ICT consumption behavior. To assess this issue, Heckman type selection models are estimated. The results show that people’s concerns about environmental problems, their environmental activism and self-perceived efficacy as consumers are directly related to the influence that information provision exerts. We also find that frequent internet users and those with better digital skills are more willing to change their online behavior if given information on energ... [more]
Photoelectrochemical Hydrogen Production by Screen-Printed Copper Oxide Electrodes
Angela Gondolini, Nicola Sangiorgi, Alex Sangiorgi, Alessandra Sanson.
April 20, 2023 (v1)
Keywords: CuO-based electrode, Hydrogen, screen-printing, water splitting.
In this work, copper oxides-based photocathodes for photoelectrochemical cells (PEC) were produced for the first time by screen printing. A total 7 × 10−3 g/m2 glycerine trioleate was found as optimum deflocculant amount to assure stable and homogeneous inks, based on CuO nano-powder. The inks were formulated considering different binder amounts and deposited producing films with homogenous thickness, microstructure, and roughness. The as-produced films were thermally treated to obtain Cu2O- and Cu2O/CuO-based electrodes. The increased porosity obtained by adding higher amounts of binder in the ink positively affected the electron transfer from the surface of the electrode to the electrolyte, thus increasing the corresponding photocurrent values. Moreover, the Cu2O/CuO system showed a higher charge carrier and photocurrent density than the Cu2O-based one. The mixed Cu2O/CuO films allowed the most significant hydrogen production, especially in slightly acid reaction conditions.
Life Cycle Assessment of Bioethanol Production: A Review of Feedstock, Technology and Methodology
Tahereh Soleymani Angili, Katarzyna Grzesik, Anne Rödl, Martin Kaltschmitt.
April 20, 2023 (v1)
Subject: Environment
Keywords: biofuel, feedstock provision, LCA, methodological components, technical aspects.
So far, a lot of efforts have been put in life cycle assessments (LCA) of bioethanol production. There are many works that have assessed bioethanol production in different points of view to illustrate the environmental impacts. This study reviewed former LCA studies on bioethanol produced from various biomass resources by considering the effect of methodological components, technical pathways and feedstock provision on the result of LCA studies. The review evaluated 48 papers published 2002−2021 with a focus on studies that included a complete set of environmental impact categories. However, due to lack of harmony among studies, comparing the LCA results was challenging but the review indicated that the final results of studies are influenced by LCA methodological components, such as system boundary, functional unit, etc. Around 80% of the reviewed papers show the reduction in global warming potential, while contrary results have been found about increasing acidification, eutrophicatio... [more]
Solar Tracking System with New Hybrid Control in Energy Production Optimization from Photovoltaic Conversion for Polish Climatic Conditions
Grażyna Frydrychowicz-Jastrzębska, Artur Bugała.
April 20, 2023 (v1)
Keywords: energy gain, photovoltaic conversion, renewable energy source, spatial optimization, sun tracking system.
This paper presents a comparison of the 24-month production of electricity and momentary power by two photovoltaic systems with a nominal power of 1000 Wp each. The analyzed systems are connected to the power grid and operate independently: a fixed system with optimal all-year-round angular positioning and an astronomical-sensor-controlled dual-axis tracking system. The systems under consideration consist of PV modules with a unit electrical power of 200 Wp, and the production technology of those modules is the same. The tested systems were located on the building rooftop of the Faculty of Control, Robotics and Electrical Engineering of the Poznan University of Technology in Poland (Central Poland, 52°24.4152′ N, 16°55.7958′ E) at a height of 30 m above ground level. The measurements take into account the consumption of electricity by the actuators of the dual-axis positioning system. Increases in the produced electricity by 35.6% and 44.7% were observed for local climatic conditions d... [more]
Refining and Reuse of Waste Lube Oil in SI Engines: A Novel Approach for a Sustainable Environment
Muhammad Usman, Muhammad Kashif Jamil, Fahid Riaz, Haris Hussain, Ghulam Hussain, Muhammad Haris Shah, Muhammad Abdul Qyyum, Chaudhary Awais Salman, Moonyong Lee.
April 20, 2023 (v1)
Subject: Environment
Keywords: engine performance, environment, exhaust emissions, lubricating oil regeneration, pollution, spark-ignition engine.
The protection of the environment and pollution control are issues of paramount importance. Researchers today are engrossed in mitigating the harmful impacts of petroleum waste on the environment. Lubricating oils, which are essential for the smooth operation of engines, are often disposed of improperly after completing their life. In the experimental work presented in this paper, deteriorated engine oil was regenerated using the acid treatment method and was reused in the engine. The comparison of the properties of reused oil, the engine’s performance, and the emissions from the engine are presented. The reuse of regenerated oil, the evaluation of performance, and emissions establish the usefulness of the regeneration of waste lubricating oil. For the used oil, total acid number (TAN), specific gravity, flash point, ash content, and kinematic viscosity changed by 60.7%, 6.7%, 4.4%, 96%, and 15.5%, respectively, compared with fresh oil. The regeneration partially restored all the lost... [more]
A Finite-Time Robust Distributed Cooperative Secondary Control Protocol for Droop-Based Islanded AC Microgrids
Shafaat Ullah, Laiq Khan, Mohsin Jamil, Muhammad Jafar, Sidra Mumtaz, Saghir Ahmad.
April 20, 2023 (v1)
Keywords: consensus, distributed control, distributed generation, droop control, finite-time, microgrid, multi-agent, primary control, secondary control, smart grid.
In this research work, a resilient finite-time consensus-based distributed secondary control protocol is presented for droop-based distributed generating (DG) units of an islanded AC microgrid (MG). Through a multi-agent control structure, the DG units of the microgrid adjust their active power outputs so that they reach an agreed-upon value in a finite time. Concurrently, all the DG units are forced to operate with their frequencies regulated to the reference MG frequency in a finite time, despite time-varying load perturbations. Each DG unit is provided with a hierarchical control architecture, where the primary control is achieved using the droop control method, while the secondary control is established through the proposed distributed control protocol. The communication between DG units takes place over a sparse communication network. The proposed control protocol is robust to both small and sufficiently large communication latencies and it supports the plug-and-play feature of DG... [more]
Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression
Hung-Ta Wen, Jau-Huai Lu, Mai-Xuan Phuc.
April 20, 2023 (v1)
Keywords: artificial neural network, Biomass, gasification, gradient boosting regression, hydrogen production, rice husk, steam-air updraft gasifier.
The purpose of this study is to utilize two artificial intelligence (AI) models to predict the syngas composition of a fixed bed updraft gasifier for the gasification of rice husks. Air and steam-air mixtures are the gasifying agents. In the present work, the feeding rate of rice husks is kept constant, while the air and steam flow rates vary in each case. The consideration of various operating conditions provides a clear comparison between air and steam-air gasification. The effects of the reactor temperature, steam-air flow rate, and the ratio of steam to biomass are investigated here. The concentrations of combustible gases such as hydrogen, carbon monoxide, and methane in syngas are increased when using the steam-air mixture. Two AI models, namely artificial neural network (ANN) and gradient boosting regression (GBR), are applied to predict the syngas compositions using the experimental data. A total of 74 sets of data are analyzed. The compositions of five gases (CO, CO2, H2, CH4,... [more]
The Effect of Electric Bridge Lighting at Night on Mayfly Activity
Dorukalp Durmus, Julian Wang, Shawn Good, Benjamin Basom.
April 20, 2023 (v1)
Subject: Environment
Keywords: aquatic insects, correlated color temperature, diel periodicity, disruptive nocturnal light exposure, ecosystem, light pollution, outdoor nighttime lighting, phototactic response, polarization, Sustainability.
Phototactic and polarotactic aquatic insects, such as mayflies, can be drawn to electric lighting on bridges at night. Past research investigating the effect of light intensity, polarization, and spectrum on mayflies suggests that a combination of different techniques can reduce the number of mayflies attracted to bridges. Here, various lighting strategies are systematically tested on Veterans Memorial Bridge in Pennsylvania to investigate the effect of lighting on mayflies and address safety concerns caused by their mass crowding. Isolated trials on different parts of the bridge tested the effectiveness of correlated color temperature, chromaticity, ultraviolet radiation, shielding, and polarization. Results indicate that mayflies were more attracted to ultraviolet radiation, blue and green light, and polarized light than other lighting conditions. Shielding was minimally effective in reducing the number of mayflies on the bridge when supported by the change in light source spectrum.... [more]
Renewable Energy Generation Gaps in Poland: The Role of Regional Innovation Systems and Knowledge Transfer
Patrycjusz Zarębski, Vitaliy Krupin, Dominika Zwęglińska-Gałecka.
April 20, 2023 (v1)
Subject: Energy Policy
Keywords: energy policy, knowledge transfer, regional innovation system, Renewable and Sustainable Energy, social network.
Aim of the research is to analyze regional gaps in terms of renewable energy generation across Poland. For this purpose, four types of regions were outlined based on two indicators: the existing renewable energy generation capacity and the current regional energy demand revealed through the number of residents. This classification allowed to reveal regions in Poland that have distinct features of energy gaps and peripherality, while also more successful regions with renewable energy surpluses and distinct sustainable energy potential. For each of the region type key potential systemic problems in terms of renewable energy generation development were given. To understand how peripheral regions and regions with energy gaps could be supported in their development of renewable energy generation the regional innovation systems, social networks, knowledge and technology transfer and diffusion were substantiated. Results of the research can serve as an aid in development of national and regio... [more]
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