Relevant bibliographies by topics / Renewable energy sources Computer simulation

Academic literature on the topic 'Renewable energy sources Computer simulation'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Renewable energy sources Computer simulation"

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Sapundzhi, Fatima. "Computer Simulation and Investigations of the Roof Mount Photovoltaic System." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 12 (August 23, 2019): 88. http://dx.doi.org/10.3991/ijoe.v15i12.10869.

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The interest in the renewable energy sources is increasing due to the depletion of the conventional energy sources and the environmental pollution. In this paper we present a computer simulation and investigations of the roof mounted photovoltaic system. The results of the generated power of the 5kW built-in photovoltaic system by months over a period of 5 years are presented. Depending on the meteorological conditions, the investigated photovoltaic system generates year-round energy necessary for the needs of the household
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Razi, Muhammad, and Yousaf Ali. "Social, Environmental and Economic Impacts of Adopting Clean Energy Use." International Journal of Decision Support System Technology 11, no. 4 (October 2019): 29–49. http://dx.doi.org/10.4018/ijdsst.2019100102.

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These days, the excessive industrialization, elevated levels of pollution, and the increased energy crisis has led nations towards the use of renewable energy sources. Through the use of renewable energy sources, global warming can also be decreased, which is currently the biggest environmental issue worldwide. Pakistan, being a developing country, relies on the use of fossil fuels for the generation of electricity. The alarming increase in population, energy consumption per capita and energy wastages lead to a shortfall. To resolve this crucial issue, the alternative solutions considered include the use of renewable sources of energy such as hydro, solar and wind. The use of these renewable energy sources is governed by various environmental, economic and social parameters. The influence of these parameters on the use of renewable energy sources is studied through the use of DEMATEL and revised DEMATEL techniques.
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Antonenkov, D. V., V. Z. Manusov, P. V. Matrenin, and V. R. Kiushkina. "Adaptive optimal control of prosumer energy storage system with renewable energy sources." Omsk Scientific Bulletin, no. 173 (2020): 50–56. http://dx.doi.org/10.25206/1813-8225-2020-173-50-56.

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The prosumer can use energy storage to enhance the benefits of electricity trading by transferring buy and sell points. Improving energy efficiency is not considered from the standpoint of the entire system, but from an individual prosumer and in conditions of difficult-to-predict wind power generation. This work aims to optimize the prosumer’s electrical complex by developing a method for adapting the base of heuristic rules of the prosumer control to its parameters and climatic conditions. A method for adaptation control rules using swarm intelligence algorithms is proposed. The computer simulation has shown that the use of swarm algorithms makes it possible to increase the economic efficiency of managing the prosumer’s energy storage system by 2–4 times compared to the control rules manually constructed by an expert. It is shown that the proposed method makes it possible to automate the construction of the base of control rules
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Omar, Mohammed A., Ahmad Mayyas, and Qilun Zhou. "Energy-Aware Manufacturing Using Information Technology Tools." International Journal of Information Technology and Web Engineering 9, no. 1 (January 2014): 70–77. http://dx.doi.org/10.4018/ijitwe.2014010106.

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This manuscript discusses the implementation of information technology tools; specifically, computerized Knowledge Based Systems (KBS), in managing the energy flows, conversions, and expenditures within manufacturing environments; including renewable energy sources (namely, landfill gas). The study presents actual KBS embodiments in energy auditing, modeling, and optimization. Additionally, the text presents how IT tools can be used at a system level to integrate sustainability planning within manufacturing planning. The developed tool also addresses the question “how energy-efficient are renewable energy sources” using a novel simulation platform based on hybrid scheme.
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Kolosok, Svitlana, Yuriy Bilan, Tetiana Vasylieva, Adam Wojciechowski, and Michał Morawski. "A Scoping Review of Renewable Energy, Sustainability and the Environment." Energies 14, no. 15 (July 25, 2021): 4490. http://dx.doi.org/10.3390/en14154490.

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The article aims to identify the latest trends in research on renewable energy, sustainability and the environment. A total of 92,873 publications from 123 Scopus sources for 2020–2021 are compared using the scoping review method. The results show that the most cited works in this sample are those by authors from the Asian region. The research of these authors focuses on the security, efficiency and reliability of separate elements in energy systems. Besides, the paper considers the problems regarding COVID disease along with the renewable energy sources, perovskite and organic solar panels, nanostructured materials and high energy density. Finally, the paper analyses applications of computer science methods in research on renewable energy, sustainability and the environment. The findings evidently show that recent advancements in computer science methods were not extensively used in the discussed research domain and give a great room for novel strategies of prognosing, simulation and processes optimisation.
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Arifin, Zainal, Suyitno, Dominicus Danardono Dwi Prija Tjahjana, Mohamad Muqoffa, Singgih Dwi Prasetyo, Noval Fattah Alfaiz, and Arifin Sanusi. "Grid-connected hybrid PV-wind system simulation in urban Java." Journal Européen des Systèmes Automatisés 55, no. 4 (August 31, 2022): 477–83. http://dx.doi.org/10.18280/jesa.550406.

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This research proposes optimizing the energy harvesting system based on solar and wind energy, using the enhanced PV-Wind Turbine hybrid power grid to supply electrical energy somewhere in the city of Yogyakarta, Indonesia. The analysis was conducted by researching the possibilities of wind and solar energy and gathering data from numerous sources. To examine the available data and the economic feasibility of the proposed hybrid power system, the Hybrid Optimization Model for Electric Renewable (HOMER) program was employed. The scheme was simulated and optimized using the National Renewable Energy Laboratory's Hybrid Optimization System for Electric Renewables model (NREL). Various analyses are examined, such as Net Present Value (NPV), Energy Expenditure, Energy Output, Usage, and Excess Energy created by each component of the resultant system. The results gained via the installation of this hybrid system are fairly excellent due to monthly production optimization and minimal maintenance costs with potential investments.
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Dunkelberg, Heiko, Maximilian Sondermann, Henning Meschede, and Jens Hesselbach. "Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte Carlo Simulation." Energies 12, no. 4 (February 21, 2019): 711. http://dx.doi.org/10.3390/en12040711.

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In the fight against anthropogenic climate change, the benefit of the integration of fluctuating renewable energies (wind and photovoltaics) into the electricity grid is a widely proved concept. At the same time, a fluctuating and decentralised supply of energy, especially at lower voltage levels, leads to a local discrepancy in the power balance between generation and consumption. A possible solution in connection with demand side management is the grid-oriented flexibilisation of energy demand. The present study shows how the use of an innovative hybrid-redundant high-temperature heat system (combined heat and power (CHP), power-to-heat system (PtH), gas boiler) can contribute to a flexibilisation of the electrical energy demand of plastics processing companies. In this context, the flexibilisation potential of a company is to be understood as the grid-related change of the energy supply through a change of the energy sources within the framework of the process heat supply. For this purpose, an omniscient control algorithm is developed that specifies the schedule of the individual system components. A sensitivity analysis is used to test the functionality of the control algorithm. Determination of the electrical flexibilisation potential is carried out via a comprehensive simulation study using Monte Carlo methods. For this purpose, the residual load curves of four characteristic distribution grids with a high share of renewable energies as well as heat load profiles of injection moulding machines are taken into consideration. A frequency distribution provides information on the electrical flexibilisation potential to be expected depending on the various combinations. The evaluation is carried out using a specially introduced logic, which identifies grid-relevant changes in the company's power consumption as flexibilisation potential based on a reference load curve. The results show that a reliable energy supply for production is possible despite flexibilisation. Depending on the grid under consideration, there are differences in the exploitation of the potential, which essentially depends on the installed renewable capacity. Depending on the scenario under consideration, an average of up to 1486 kWhel can be shifted in a positive direction and 1199 kWhel in a negative direction.
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Fambri, Gabriele, Marco Badami, Dimosthenis Tsagkrasoulis, Vasiliki Katsiki, Georgios Giannakis, and Antonis Papanikolaou. "Demand Flexibility Enabled by Virtual Energy Storage to Improve Renewable Energy Penetration." Energies 13, no. 19 (October 1, 2020): 5128. http://dx.doi.org/10.3390/en13195128.

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The increasing resort to renewable energy distributed generation, which is needed to mitigate anthropogenic CO2 emissions, leads to challenges concerning the proper operation of electric distribution systems. As a result of the intrinsic nature of Renewable Energy Sources (RESs), this generation shows a high volatility and a low predictability that make the balancing of energy production and consumption difficult. At the same time, the electrification of new energy-intensive sectors (such as heating) is expected. This complex scenario paves the way for new sources of flexibility that will have more and more relevance in the coming years. This paper analyses how the electrification of the heating system, combined with an electric flexibility utilisation module, can be used to mitigate the problems related to the fluctuating production of RES. By using Power-to-Heat (P2H) technologies, buildings are able to store the overproduction of RES in the form of thermal energy for end-use according to the principle of the so-called Virtual Energy Storage (VES). A context-aware demand flexibility extraction based on the VES model and the flexibility upscale and utilisation on district-level through grid simulation and energy flow optimisation is presented in the paper. The involved modules have been developed within the PLANET (PLAnning and operational tools for optimising energy flows and synergies between energy NETworks) H2020 European project and interact under a unified co-simulation framework with the PLANET Decision Support System (DSS) for the analysis of multi-energy scenarios. DSS has been used to simulate a realistic future energy scenario, according to which the imbalance problems triggered by RES overproduction are mitigated with the optimal exploitation of the demand flexibility enabled by VES.
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Spasova, Borislava, Daisuke Kawamoto, and Yoshiyasu Takefuji. "A Study of Fuel Cell Scheduling Effect on Local Energy Markets with Heterogeneous Renewable Sources." Energies 12, no. 5 (March 5, 2019): 854. http://dx.doi.org/10.3390/en12050854.

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The study presented in this paper aims to show the impact of introducing a priority-based internal power flow management system on the local energy market of prosumers with solar panels, fuels cells and batteries. The community used for the study is based on the Open Energy Systems (OES), in which 19 autonomous subsystems, equipped with batteries, solar panels and AC grid connection are interconnected via a DC power bus. For the simulation purposes, fuel cell, modeled after Ene-Farm, is added to the original configuration. Each standalone system has internal, priority-based, agent, capable of scheduling the operating hours of the fuels cell to maximize the utilization of the generation and minimize curtailment. The energy market is based on a simplified version of the Zaraba, a continuous double auction algorithm used by the Japanese Stock Exchange, in which prosumer can submit a bid for a future timeslot. The preliminary numerical evaluation is based on the results from several simulations using different versions of the internal management system.
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Bouziane, Seif Eddine, Mohamed Tarek Khadir, and Julie Dugdale. "A collaborative predictive multi-agent system for forecasting carbon emissions related to energy consumption." Multiagent and Grid Systems 17, no. 1 (April 19, 2021): 39–58. http://dx.doi.org/10.3233/mgs-210342.

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Energy production and consumption are one of the largest sources of greenhouse gases (GHG), along with industry, and is one of the highest causes of global warming. Forecasting the environmental cost of energy production is necessary for better decision making and easing the switch to cleaner energy systems in order to reduce air pollution. This paper describes a hybrid approach based on Artificial Neural Networks (ANN) and an agent-based architecture for forecasting carbon dioxide (CO2) issued from different energy sources in the city of Annaba using real data. The system consists of multiple autonomous agents, divided into two types: firstly, forecasting agents, which forecast the production of a particular type of energy using the ANN models; secondly, core agents that perform other essential functionalities such as calculating the equivalent CO2 emissions and controlling the simulation. The development is based on Algerian gas and electricity data provided by the national energy company. The simulation consists firstly of forecasting energy production using the forecasting agents and calculating the equivalent emitted CO2. Secondly, a dedicated agent calculates the total CO2 emitted from all the available sources. It then computes the benefits of using renewable energy sources as an alternative way to meet the electric load in terms of emission mitigation and economizing natural gas consumption. The forecasting models showed satisfying results, and the simulation scenario showed that using renewable energy can help reduce the emissions by 369 tons of CO2 (3%) per day.
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Dissertations / Theses on the topic "Renewable energy sources Computer simulation"

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Ng, Kwok-kei Simon, and 吳國基. "Optimal planning and management of stochastic demand and renewable energy in smart power grid." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50434299.

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To combat global climate change, the reduction of carbon emissions in different industries, particularly the power industry, has been gradually moving towards a low-carbon profile to alleviate any irreversible damage to the planet and our future generations. Traditional fossil-fuel-based generation is slowly replaced by more renewable energy generation while it can be harnessed. However, renewables such as solar and wind are stochastic in nature and difficult to predict accurately. With the increasing content of renewables, there is also an increasing challenge to the planning and operation of the grid. With the rapid deployment of smart meters and advanced metering infrastructure (AMI), an emerging approach is to schedule controllable end-use devices to improve energy efficiency. Real-time pricing signals combined with this approach can potentially deliver more economic and environmental advantages compared with the existing common flat tariffs. Motivated by this, the thesis presents an automatic and optimal load scheduling framework to help balance intermittent renewables via the demand side. A bi-level consumer-utility optimization model is proposed to take marginal price signals and wind power into account. The impact of wind uncertainty is formulated in three different ways, namely deterministic value, scenario analysis, and cumulative distributions function, to provide a comprehensive modeling of unpredictable wind energy. To solve the problem in off-the-shelf optimization software, the proposed non-linear bi-level model is converted into an equivalent single-level mixed integer linear programming problem using the Karush-Kuhn-Tucker optimality conditions and linearization techniques. Numerical examples show that the proposed model is able to achieve the dual goals of minimizing the consumer payment as well as improving system conditions. The ultimate goal of this work is to provide a tool for utilities to consider the demand response model into their market-clearing procedure. As high penetration of distributed renewable energy resources are most likely applied to remote or stand-alone systems, planning such systems with uncertainties in both generation and demand sides is needed. As such, a three-level probabilistic sizing methodology is developed to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. The first-level consists of three modules: 1) load demand, 2) renewable resources, and 3) system components, which comprise the fundamental elements of sizing the system. The second-level consists of various models, such as a Markov chain solar radiation model and a stochastic load simulator. The third-level combines reliability indices with an annualized cost of system to form a new objective function, which can simultaneously consider both system cost and reliability based on a chronological Monte Carlo simulation and particle swamp optimization approach. The simulation results are then tested and verified in a smart grid laboratory at the University of Hong Kong to demonstrate the feasibility of the proposed model. In summary, this thesis has developed a comprehensive framework of demand response on variable end-use consumptions with stochastic generation from renewables while optimizing both reliability and cost. Smart grid technologies, such as renewables, microgrid, storage, load signature, and demand response, have been extensively studied and interactively modeled to provide more intelligent planning and management for the smart grid.
published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
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Liu, Kai, and 劉愷. "Optimal dispatch and management for smart power grid." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46336680.

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Wren, Duncan E. "Computer simulation of intelligent building facades." Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/7351.

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The economic and environmental benefits secured through the increased integration of photovoltaic (PV) technology into the built environment are undeniable and provide the principal motivation for this research. Present delays in the technology transfer of building integrated photovoltaics (BIPV) can be attributed to the following; material cost, performance guarantee, increased installation complexity and unfamiliar technology. It is well understood that the temperature of a PV material receiving solar irradiation, will increase with solar intensity, while reducing in electrical efficiency. It therefore makes economic sense to minimise the increase in PV material temperature and maximise electrical energy yield. Through the addition of a convecting fluid, flowing over the surface of heated PV material, heat transfer will be induced. With the added benefit of warm air capture from an integrated photovoltaic/thermal (PVT) collector, the economic benefits are increased. But, to ensure maximum utilisation of both thermal and electrical energy production, a significantly more complex control system has to be employed than that for a PV system on its own. Modelling the energy flows within a multifunctional PVT building facade presents a problem of considerable complexity. Previous work in this area has centred on performing finite element analysis of the system in order to find solutions to complex algorithms. It requires considerable computational power to perform these calculations and often the results produced are much more detailed than required. Within this thesis, a fully operational PVT facade model is presented, giving the potential for improved multifunctional facade design. This new model has been developed into a software program for use within the TRNSYS environment. By using the TRNSYS software, a detailed building model has been created and integrated with the new PVT facade model. Simulations were then undertaken to evaluate the energy transfers between internal and external environments and the electrical and thermal energy capturing capabilities of the facade. Simulated results have been evaluated against experimental data taken from a fully operational PVT facade. The results conclude that the presented model simulates the energy flows around, through and within the facade (radiative, conductive, convective and electrical) very well. Performance enhancing development work is due to take place on the operational facade analysed in this work, very soon. This new facade model will be used as a tool to evaluate the proposed changes to the building prior to this development work being undertaken.
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Khazaei, Javad Khazaei. "Distributed Coordination and Control of Renewable Energy Sources in Microgrids." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6274.

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Microgrid is an emerging technology in the eld of electrical engineering which employs the concept of Distributed Energy Resources (DERs) in order to generate electricity in a small sized power system. The main objectives of this dissertation are to: 1- design a new control for lower level control of DERs in microgrids, 2- implement distributed upper level control for DERs in microgrids and 3- apply analytical approaches in order to analyze DERs in microgrids. The control in each DER can be divided into two main categories: lower and upper level. Lower level control is the main objective of control in each DER. For example, the lower level control in Photovoltaic (PV) is in charge of transferring the maximum power from sun into the main grid. Unlike the lower level control, the upper level control is an additional control loop on top of the lower level controls. For example, Voltage/Frequency (VF) controllers are installed on top of Active/Reactive (PQ) power controller in energy storage devices as upper level control. In this dissertation, for the lower level control improvements, two widely used DERs are selected (PV, and oshore wind farm) and new control algorithms are developed in order to improve the performance of lower level controllers in these DERs. For the PV lower level improvement, a new control methodology is proposed in order to minimize the maximum power tracking error in PV lower level controller. Second contribution in lower level control is for the oshore wind farm applications based on Multi-Terminal High Voltage Direct Current (MTDC) transmission; a new control is designed in order to minimize the losses in transmission lines through lower level control of High Voltage Direct Current (HVDC) converters. For the upper level control, this dissertation considers the energy storage as another mostly used type of DER in microgrids. The lower level control for energy storage is in charge of controlling the PQ of the energy storage. The main contribution in the upper level control is to implement the distributed control algorithm based on consensus theory for battery energy storages in order to maximize the efficiency, energy management as well as synchronizing the performance of parallel energy storage devices in microgrids. In this case, the consensus based distributed control algorithm with limited information exchange between neighboring energy storage units is proposed and implemented to validate the claim. The third contribution of this research is to apply advanced analysis techniques to evaluate the performance of the DERs in microgrids. Two approaches are introduced for microgrid modeling in this research. Firstly, an impedance modeling technique is used to model the oshore wind farm connected to the main AC grid through HVDC transmission line. Multiple Input Multiple Output (MIMO) Nyquist analysis and singular value analysis are used to assess the interactions between HVDC converter and grid. Secondly, an unbalanced microgrid is considered and Dynamic Phasor (DP) analysis is applied in order to nd the stability limitations under different scenarios. This dissertation has led to seven journal papers (five published, one journal in revision process and one journal submitted recently) and four conference papers.
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Chen, Tianyu. "Simulation of the thermal and electrical performance of a novel PVT-PCM system." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/49210/.

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This study provides an insight into the fundamentals of PV performance enhancement under different environmental conditions. The study also presents a new concept of PCM integrated PVT system which has a better performance from both electrical and thermal perspectives. The study employs both analytical and computational techniques to investigate the PV performance under the effect of different parameters such as wind speed, solar radiation level, ambient temperature and additional cooling condition. A parametric analysis of the PCM is also carried out under different solar radiation level, water inlet temperature and flow speed. Additional analysis regarding to the effects of PCM’s thermal physical properties against its thermal performance is also presented. A validation analysis is carried out prior to the parametric analysis to ascertain the reliability of the CFD models used, the prediction result of the CFD model is compared with analytical calculations as well as data from literature. The study found that the active water cooling is the best solution which can provide guaranteed performance enhancement regardless effects of ambient conditions. The novel PVT-PCM system is found to have a noticeable electrical performance enhancement over conventional PV panel as well as having the ability to store a significant amount of thermal energy. It is found that the PVT-PCM system has much lower PV cell temperature (maximum temperature reduction of 36.5°C and 38.3°C respectively) compared to conventional PV systems when used in both Nottingham and Shanghai area, hence provide up to 5.4kWh (5.7kWh in Shanghai) more energy per unit module. The stored thermal energy could be utilized to provide moderate heating to air and/or water. The air preheated by PVT-PCM system could satisfy space heating requirement during April to October in Nottingham without any additional energy consumption. On the other hand, the preheated water could reduce boiler heating energy from up to 20% and 41% respectively for Nottingham and Shanghai climate. The overall performance benefits of the proposed PVT-PCM system could be greater if used in hotter climates. Finally, a cost analysis was carried to prove the whole system is financially feasible for use in both climates of Nottingham and Shanghai with a discounted payback period of 10.67 and 12.83 years respectively.
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Duran, Serhat. "Computer-aided Design Of Horizontal-axis Wind Turbine Blades." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605790/index.pdf.

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Designing horizontal-axis wind turbine (HAWT) blades to achieve satisfactory levels of performance starts with knowledge of the aerodynamic forces acting on the blades. In this thesis, HAWT blade design is studied from the aspect of aerodynamic view and the basic principles of the aerodynamic behaviors of HAWTs are investigated. Blade-element momentum theory (BEM) known as also strip theory, which is the current mainstay of aerodynamic design and analysis of HAWT blades, is used for HAWT blade design in this thesis. Firstly, blade design procedure for an optimum rotor according to BEM theory is performed. Then designed blade shape is modified such that modified blade will be lightly loaded regarding the highly loaded of the designed blade and power prediction of modified blade is analyzed. When the designed blade shape is modified, it is seen that the power extracted from the wind is reduced about 10% and the length of modified blade is increased about 5% for the same required power. BLADESIGN which is a user-interface computer program for HAWT blade design is written. It gives blade geometry parameters (chord-length and twist distributions) and design conditions (design tip-speed ratio, design power coefficient and rotor diameter) for the following inputs
power required from a turbine, number of blades, design wind velocity and blade profile type (airfoil type). The program can be used by anyone who may not be intimately concerned with the concepts of blade design procedure and the results taken from the program can be used for further studies.
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Taylan, Onur. "Numerical Modeling And Performance Analysis Of Solar-powered Ideal Adsorption Cooling Systems." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611799/index.pdf.

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Energy consumption is continuously increasing around the world and this situation yields research to find sustainable energy solutions. Demand for cooling is one of the reasons of increasing energy demand. This research is focused on one of the sustainable ways to decrease energy demand for cooling which is the solar-powered adsorption cooling system. In this study, general theoretical performance trends of a solar-powered adsorption cooling system are investigated using TRNSYS and MATLAB. Effects of different cycle enhancements, working pairs, operating and design conditions on the performance are analyzed through a series of steady and seasonal-transient simulations. Additionally, a normalized model is presented to investigate the effects of size of the system, need for backup power, collector area and mass of adsorbent. Results are presented in terms of values and ratios of cooling capacity weighted COP. For the conditions explored, the thermal wave cycle, wet cooling towers, high evaporation temperatures and evacuated tube collectors produced the highest COP values. Moreover, the heat capacity of the adsorbent bed and its shell should be low for the simple and heat recovery cycles and the adsorbent bed should be cooled down to the condensation temperature for all cases to achieve the highest possible COP. The selection of working pair should depend on the temperature of the available heat source (solar energy in this study) since each working pair has a distinct operating temperature range. Furthermore, there is always a need for backup power for the analyzed location and the system.
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Clarke, Anne E. "Electric Water Heater Modeling for Distributed Energy Resource Aggregation and Control." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4449.

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Today's utilities face new challenges due to the continually increasing penetration of residential solar and other distributed, stochastic generation sources. In order to maintain balance and stability in the grid without building costly, large-scale generation plants, utilities are turning to distributed energy resources for use in demand response programs. Demand response is a cost-efficient way to balance grid load/generation without the need for increased capital investment in traditional generation resources. Demand response programs are excellent exploiters of end-user devices that otherwise further accentuate the daily load curve and thus, add to the difficulties created by daily load peaks. Electric water heaters are excellent candidates for use in demand response programs for a variety of reason. One, electric water heaters represent a large portion of daily household loads due to their high nominal power ratings (1.5 kW - 5.5kW), and frequent use estimated to account for approximately one third of all daily residential power demand. Two, they are composed of strictly resistive elements, which greatly simplifies modeling, aggregation and control. And third, they can be used for load "shedding" during periods of high electrical demand as well as load "absorbing" during periods of excess generation due to their thermal storage capabilities. With improved access and control, electric water heaters could become a major distributed energy resource for utilities. In order to properly control and use a distributed energy resource, it is important to know how these resources operate and their patterns of behavior in different environments. This thesis presents a single-element, single mass electric water heater model for analyzing the effectiveness of using electric water heaters as distributed energy resources and for participation in demand response programs. The CTA-2045 communication protocol was used for testing demand response signals. The electric water heater is modeled in Python and the communication pathway was built in C++ and Python.
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Munoz-Coreas, Edgard. "Stargrazer One: A New Architecture for Distributed Maximum Power Point Tracking of Solar Photovoltaic Sources." UKnowledge, 2015. http://uknowledge.uky.edu/ece_etds/76.

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The yield from a solar photovoltaic (PV) source is dependent on factors such as light and temperature. A control system called a maximum power point tracker (MPPT) ensures that the yield from a solar PV source is maximized in spite of these factors. This thesis presents a novel implementation of a perturb and observe (PO) MPPT. The implementation uses a switched capacitor step down converter and a custom digital circuit implementation of the PO algorithm. Working in tandem, the switched capacitor step down converter and the custom digital circuit implementation were able to successfully track the maximum power point of a simulated solar PV source. This implementation is free of the overhead encountered with general purpose processor based MPPT implementations. This makes this MPPT system a valid candidate for applications where general purpose processors are undesirable. This document will begin by discussing the current state of MPPT research. Afterward, this thesis will present studies done to be able to use the chosen switched capacitor step down converter. Then the digital circuit PO implementation will be discussed in detail. Simulations of the architecture will be presented. Finally, experimental validation using a hardware prototype will be shown.
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Moghadasiriseh, Amirhasan. "Analysis and Modeling of Advanced Power Control and Protection Requirements for Integrating Renewable Energy Sources in Smart Grid." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2469.

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Attempts to reduce greenhouse gas emissions are promising with the recent dramatic increase of installed renewable energy sources (RES) capacity. Integration of large intermittent renewable resources affects smart grid systems in several significant ways, such as transient and voltage stability, existing protection scheme, and power leveling and energy balancing. To protect the grid from threats related to these issues, utilities impose rigorous technical requirements, more importantly, focusing on fault ride through requirements and active/reactive power responses following disturbances. This dissertation is aimed at developing and verifying the advanced and algorithmic methods for specification of protection schemes, reactive power capability and power control requirements for interconnection of the RESs to the smart grid systems. The first findings of this dissertation verified that the integration of large RESs become more promising from the energy-saving, and downsizing perspective by introducing a resistive superconducting fault current limiter (SFCL) as a self-healing equipment. The proposed SFCL decreased the activation of the conventional control scheme for the wind power plant (WPP), such as dc braking chopper and fast pitch angle control systems, thereby increased the reliability of the system. A static synchronous compensator (STATCOM) has been proposed to assist with the uninterrupted operation of the doubly-fed induction generators (DFIGs)-based WTs during grid disturbances. The key motivation of this study was to design a new computational intelligence technique based on a multi-objective optimization problem (MOP), for the online coordinated reactive power control between the DFIG and the STATCOM in order to improve the low voltage ride-through (LVRT) capability of the WT during the fault, and to smooth low-frequency oscillations of the active power during the recovery. Furthermore, the application of a three-phase single-stage module-integrated converter (MIC) incorporated into a grid-tied photovoltaic (PV) system was investigated in this dissertation. A new current control scheme based on multivariable PI controller, with a faster dynamic and superior axis decoupling capability compared with the conventional PI control method, was developed and experimentally evaluated for three-phase PV MIC system. Finally, a study was conducted based on the framework of stochastic game theory to enable a power system to dynamically survive concurrent severe multi-failure events, before such failures turn into a full blown cascading failure. This effort provides reliable strategies in the form of insightful guidelines on how to deploy limited budgets for protecting critical components of the smart grid systems.
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Books on the topic "Renewable energy sources Computer simulation"

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Argonne National Laboratory. Modeling and simulation. [Argonne, Ill.?]: The Laboratory, 1997.

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Argonne National Laboratory. Modeling and simulation. [Argonne, Ill.?]: The Laboratory, 1997.

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Heller, Moshe R. Nuclear Simulation: Proceedings of an International Symposium and Workshop, October 1987, Schliersee, West Germany. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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Keyhani, Ali. Design of smart power grid renewable energy systems. Hoboken, N.J: Wiley, 2011.

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Piazza, Maria Carmela Di. Photovoltaic Sources: Modeling and Emulation. London: Springer London, 2013.

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Júnior, Silvio de Oliveira. Exergy: Production, Cost and Renewability. London: Springer London, 2013.

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G, Wilson David, and SpringerLink (Online service), eds. Nonlinear Power Flow Control Design: Utilizing Exergy, Entropy, Static and Dynamic Stability, and Lyapunov Analysis. London: Springer-Verlag London Limited, 2011.

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Heller, Moshe R. Nuclear Simulation: Second European Nuclear Simulation Symposium Schliersee, October 1990 - Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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Canada. CANMET Energy Diversification Research Laboratory. Renewable energy technologies project assessment tool: RETScreen. Varennes, Quebec: Natural and Resources Canada, 1998.

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Regional Follow-up Seminar, Education and Simulation in the Field of Renewable Energy in South and South-East Asia (1996 New Delhi, India). Regional Follow-up Seminar, Education and Simulation in the Field of Renewable Energy in South and South-East Asia: Proceedings. Edited by Misra Anil, Knagge Edu, Tata Energy Research Institute, and Universität Oldenburg. Renewable Energy Group. New Delhi: Tata Energy Research Institute, 1996.

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Book chapters on the topic "Renewable energy sources Computer simulation"

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Hailu, Sintayehu Alemnew, Getachew Biru Worku, and Minyamer Gelawe Wase. "Energy Management Control System for Hybrid Renewable Energy Power Sources." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 464–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93712-6_31.

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Abou El Kouroum, Leila, and Khalid Loudiyi. "Computer Simulation for Design Configuration and Optimization Performance of Flat Plate Collectors Case Study for Ifrane, Morocco." In ICREGA’14 - Renewable Energy: Generation and Applications, 699–713. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05708-8_57.

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Ramli, Arnidza, Abubakar Abdulkadir, Nadiatulhuda Zulkifli, and Adam Wong Yoon Khang. "Energy Consumption and Cost Estimation Considering Renewable Energy Sources in Integrated Next-Generation Wireless Access Network." In Advances in Electrical and Electronic Engineering and Computer Science, 49–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6490-5_5.

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Liu, Jinfeng, Pai H. Chou, and Nader Bagherzadeh. "Power-Aware Task Motion for Enhancing Dynamic Range of Embedded Systems with Renewable Energy Sources." In Power-Aware Computer Systems, 84–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36612-1_6.

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Šváb, Patrik, Peter Korba, Michal Hovanec, Ján Lukáč, Jaroslav Hura, and Samer Abdo Saleh Al-Rabeei. "The Utilization of Renewable Energy Sources in the Construction and Maintenance of Transport Infrastructure." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 362–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78459-1_27.

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Peppink, Gerard, René Kamphuis, Koen Kok, Aris Dimeas, Evangelos Karfopoulos, Nikos Hatziargyriou, Nourédine Hadjsaid, et al. "INTEGRAL: ICT-Platform Based Distributed Control in Electricity Grids with a Large Share of Distributed Energy Resources and Renewable Energy Sources." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 215–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19322-4_23.

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Lust, Daniel, Marcus Brennenstuhl, Robert Otto, Tobias Erhart, Dietrich Schneider, and Dirk Pietruschka. "Case Study of a Hydrogen-Based District Heating in a Rural Area: Modeling and Evaluation of Prediction and Optimization Methodologies." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 145–81. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_10.

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AbstractBuildings are accountable for about one third of the greenhouse gas emissions in Germany. An important step toward the reduction of greenhouse gases is to decarbonize the power productions and heating systems. However, in an energy system with a high share of renewable energy sources, large shares of energy have to be stored in summer for the winter season. Chemical energy storages, in this case hydrogen, can provide these qualities and offer diverse opportunities for coupling different sectors.In this work, a simulation model is introduced which combines a PEM electrolyzer, a hydrogen compression, a high-pressure storage, and a PEM fuel cell for power and heat production. Applied on a building cluster in a rural area with existing PV modules, this system is optimized for operation as a district heating system based on measured and forecasted data. Evolutionary algorithms were used to determine the optimized system parameters.The investigated system achieves an overall heat demand coverage of 63%. However, the local hydrogen production is not sufficient to meet the fuel cell demand. Several refills of the storage tanks with delivered hydrogen would be necessary within the year studied.
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Jovanovic, Dejan, and Ivan Pribicevic. "Multi-Criteria Decision-Making in the Implementation of Renewable Energy Sources." In Computer Simulation. InTech, 2017. http://dx.doi.org/10.5772/67734.

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Zerhouni, Fatima Zohra, M’hammed Houari Zerhouni, Mansour Zegrar, and Amine Boudghene Stambouli. "Study of Hybrid Sustainable Energy System Based on PEM Fuel Cells and Photovoltaic-Module Power Generator." In Sustainable ICTs and Management Systems for Green Computing, 399–422. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1839-8.ch018.

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The computer is the greatest innovation of the 20th century. It has changed our lives. It executes tasks with precision. There is no limit with what we can do with software. Computers are seductive. Companies and students cannot work without them. They help students to perform mathematical computations. It is very important that mathematical ideas are expressed in computer programs in order to have theoretical results and to verify them practically. Nowadays, the development of new and non-polluting energy producing and energy-storage systems is a great challenge for scientists. An alternative to the nuclear and fossil fuel power is renewable energy technologies. Due to ever-increasing energy consumption, rising public awareness of environmental protection, and steady progress in power deregulation, alternative (i.e., renewable and fuel cell based) distributed generation systems have attracted increased interest. There is an accelerating world demand for environmentally friendly power. Among the renewable energy sources, the Photovoltaic (PV) energy is the most promising candidate for research and development for large scale users. Fuel cells have been receiving a lot of attention lately due to their potential of becoming a new energy source with a large range of applications. Fuel cells can be incorporated with other components to create high efficiency industrial power plants. Fuel cells permit clean and efficient energy production. The purpose of the work is to optimize the system’s operation. The main reason to build described system is to supply stand-alone systems using renewable energy sources. Therefore, the power plant has to produce energy independent of any weather fluctuations. Integrating photovoltaic energy sources with fuel cells, as a storage device replacing the conventional lead-acid batteries, leads to a non-polluting reliable energy source. In this chapter, an energy system comprising different energy sources, namely PV and fuel cells, is proposed. Photovoltaic cells coupled with electrolytic devices can be used to produce hydrogen and oxygen in a sustainable manner. With the produced hydrogen from the electrolysis process, it is possible to generate electricity through fuel cells. Photovoltaic panels in particular can provide a good source of producing green electricity. It is autonomous, its operation does not pollute the atmosphere, and it is an inexhaustible and renewable source with great reliability. The simulation program developed also allows the exportation of different configurations. The experimental system described has permitted the validation of the proposed method.
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Brahimi, Tayeb, and Ion Paraschivoiu. "Aerodynamic Analysis and Performance Prediction of VAWT and HAWT Using CARDAAV and Qblade Computer Codes." In Entropy and Exergy in Renewable Energy [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96343.

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Wind energy researchers have recently invited the scientific community to tackle three significant wind energy challenges to transform wind power into one of the more substantial, low-cost energy sources. The first challenge is to understand the physics behind wind energy resources better. The second challenge is to study and investigate the aerodynamics, structural, and dynamics of large-scale wind turbine machines. The third challenge is to enhance grid integration, network stability, and optimization. This chapter book attempts to tackle the second challenge by detailing the physics and mathematical modeling of wind turbine aerodynamic loads and the performance of horizontal and vertical axis wind turbines (HAWT & VAWT). This work underlines success in the development of the aerodynamic codes CARDAAV and Qbalde, with a focus on Blade Element Method (BEM) for studying the aerodynamic of wind turbines rotor blades, calculating the induced velocity fields, the aerodynamic normal and tangential forces, and the generated power as a function of a tip speed ration including dynamic stall and atmospheric turbulence. The codes have been successfully applied in HAWT and VAWT machines, and results show good agreement compared to experimental data. The strength of the BEM modeling lies in its simplicity and ability to include secondary effects and dynamic stall phenomena and require less computer time than vortex or CFD models. More work is now needed for the simulation of wind farms, the influence of the wake, the atmospheric wind flow, the structure and dynamics of large-scale machines, and the enhancement of energy capture, control, stability, optimization, and reliability.
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Conference papers on the topic "Renewable energy sources Computer simulation"

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Marques de Carvalho, Cleiton, Daniel Orlando G. Medina, José Calixto Lopes, and Thales Sousa. "Computer Modeling and Analysis of a Hybrid Renewable Energy System Grid-Connected Using Homer Pro." In Simpósio Brasileiro de Sistemas Elétricos - SBSE2020. sbabra, 2020. http://dx.doi.org/10.48011/sbse.v1i1.2198.

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Renewable energy generation has attracted a lot of attention in recent years. Among the most used sources in this context, Photovoltaic Solar and wind have presented the highest growth in recent years. Considering the new topologies and possibilities that arise with the evolution of technology, the Hybrid Renewable Energy System has been widely explored, being an excellent alternative in the new ways of generating energy in the future. Similarly, the traditional concept of centralized power systems has been replaced by distributed power generation levels. Thus, this work proposed to perform a technical and economic feasibility analysis in order to examine the possibility of an HRES composed by wind and solar sources, connected to the grid. For the development of the study, it was used a methodology based on computational modelling and simulation in HOMER Pro.
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Singh, Ranjit Singh Sarban, Maysam Abbod, and Wamadeva Balachandran. "Simulation of a New Proposed Voltage-Base Self-Intervention Technique with Increment and Decrement Voltage Conduction Method to Optimize the Renewable Energy Sources DC Output." In 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim). IEEE, 2016. http://dx.doi.org/10.1109/uksim.2016.23.

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Kabinga, R. K. N., L. K. Tartibu, and M. O. Okwu. "Development and Performance Evaluation of a Dynamic Compressed Air Energy Storage System." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23351.

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Abstract Renewable and clean energy are safe sources for powering the world in the future. The use of fossil fuels in the transportation sector produces 15 to 20 % of greenhouse gas emissions. To solve this problem, renewable energy sources are being considered for use in the domain of transportation, and compressed air energy is one of them. But the efficiency of the compressed air powered systems depends largely on its energy storage density. In this paper, the performance of two distinct compressed air reservoirs for energy storage in small scale systems was investigated. Two air compressors fitted with static reservoirs were utilized for the experiment. The first air compressor was driven by an internal combustion engine (ICE) and the second was driven by an electric motor. The experimental results were used to provide a frame of reference for the computer (MATLAB) simulation on the dynamic reservoir. Additionally, the dynamic reservoir, which is a system fitted with a piston and spring, was analyzed considering three different spring stiffness. This study showed that the dynamic reservoir provides a consistent and better performance during the charging and discharging process, affecting positively the behavior of the pressure and the compressed air mass flowrate.
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Timsina, Ramesh, and Zahir Barahmand. "Mesh Sensitivity Analysis of an Entrained Flow Biomass Gasifier: A CPFD Study." In 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp192053.

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Biomass such as agricultural waste, forestry waste, municipal solid waste, and industrial waste, are renewable energy sources that may be used to produce biofuels. Biomass gasification is an effective and promising technology for converting any biomass into valuable products that can contribute considerably to renewable energy generation. In the manufacturing industry, computer-based simulations, improving production processes while incorporating sustainable industrial strategies, are rising. In the Computational Fluid Dynamics (CFD) scientific community, the reliability of computational prediction of findings is a rising problem. Mesh independence is crucial since it may determine if the solution obtained is independent of the mesh resolution. In CFD models, there are a variety of strategies for discovering a mesh independence test such as the grid resolution, general Richardson extrapolation, and Grid Convergence Index (GCI). In the grid resolution technique, the mesh size gradually increases until no meaningful performance improvement can be seen due to the larger mesh size. The present study aims to analyze the mesh independence test using the grid resolution method on an entrained flow biomass gasifier and investigate the model's sensitivity to parameters such as reactants’ inlet temperature, product gas compositions and flow rate. To achieve this goal, four different scenarios were defined employing a series of Computational Particle Fluid Dynamics (CPFD) simulations using Barracuda® v21.0.1. The results confirmed that within the range of 25000 and 200000 cells, synthesis gas production decreased by almost 2 percent, which is not significant.
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Chudnovsky, B., Z. Steg, A. Kunin, A. Talanker, and A. Sabek. "Evaluation of Biomass and Torrefied Coal Co-Firing in Large Utilities Boilers." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98034.

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Renewable energy targets and CO2 emissions markets drive the transition to a cleaner and renewable energy production system. In this manner, utilities are looking for cost effective options with a minimum impact on unit performance and reliability. Co-firing biomass, in comparison with other renewable sources, is the main contributor to meeting the world’s renewable energy target. It avoids the destruction of capital, by making coal-fired power plants cleaner without having to replace them. Biomass co-firing provides a relatively low cost means of increasing renewables capacity and an effective way of taking advantage of the high thermal efficiency of large coal fired boilers. The direct displacement of coal when co-firing plus the higher conversion efficiencies generally achieved also contribute to achieving higher CO2 reduction benefits from each co-fired tone of biomass. However, coal–fired power plants are not designed to co-fire large amounts of biomass. This means that not more than 5–10% of biomass can be co-fired. In order to increase this amount, utilities have to make significant investments in dedicated biomass handling and processing equipment. Even when these investments are made, the co-firing percentage is often limited to 20% thermal fraction, because the chemical and physical properties of bio-fuels. Another possibility, to increase biomass fraction in co-firing is torrefied fuel burning. Co-firing torrefied biomass could increase considerably co-firing percentages, while saving investment and transport cost compared to biomass co-firing. However, it should be concerned regarding the ability of generators involved in coal and biomass co-firing that this alternative may impact on boiler reliability due to specific biomass properties and it this issue should be carefully evaluated during design stage. In order to prevent such an undesirable effect we initiated a study to understand the influence of using co-firing on the capacity, limitations of furnace size, heat transfer surfaces, firing systems, pulverizers, fans, airheaters and equipment for post combustion emission treatment. This paper discusses the technical and commercial application of coal and biomass/ torrefied coal co-firing in large utility boilers. In the present study we used a series of simulation using computer codes; the latter are CFD codes suitable for simulation of the performance and emissions of co-fired utility boilers and an expert system that aided in issues like boiler and furnace performance, pulverizing capabilities, post combustion treatment equipment performance, sootblowing optimization, boiler Fans operation and performance.
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Karthik, R., Gautam S. Nair, K. L. Hari Krishna, A. Kaushik, and T. Arun. "Numerical simulation of indigenous wheelchair for ease of mobility." In RENEWABLE ENERGY SOURCES AND TECHNOLOGIES. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5127638.

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Sanchez, R., F. Colas, G. Dauphin-Tanguy, and X. Guillaud. "Coupling of classical and renewable energy sources." In the 2010 Spring Simulation Multiconference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878763.

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Mohamed, M. Nalla, and R. Sivaprasad. "CFD simulation for the design of combustor in turbocharger test rig." In RENEWABLE ENERGY SOURCES AND TECHNOLOGIES. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5127597.

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Sangeetha, S., T. Divya, and R. Ramaprabha. "Design and simulation of developed embedded Z-source inverter for photovoltaic interface." In RENEWABLE ENERGY SOURCES AND TECHNOLOGIES. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5127609.

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Lu, Shen, and Harrison M. Kim. "Hybrid Power Generation System Design Optimization Based on a Markovian Reliability Analysis Approach." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48607.

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The optimal design of hybrid power generation systems (HPGS) can significantly improve the economic and technical performance of power supply. Due to the intermittent nature of renewable energy sources, as well as the application of energy storage techniques, the efficacy and efficiency of reliability assessment have become vital for successful HPGS design optimization. This paper proposes a sizing optimization method for HPGS based on a Markovian approach for long term reliability assessment. A multi-scenario formulation is considered to minimize the system cost while guaranteeing acceptable reliability across all the representative scenarios. The presented reliability analysis approach employs a Markov chain to model the state of charge of the energy storage based on probabilistic resource and load models. With this treatment, the loss of load probability of the HPGS can be tracked with relatively low computation, making it suitable for optimization applications. The effectiveness of the reliability analysis approach is tested through a comparison with Monte Carlo simulation; then the optimization approach is demonstrated with a numerical case study.
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