Journal articles on the topic 'System energy simulation'

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1

Haq, Ajaz Ul. "Modelling and Simulation of Energy Storage System for Grid-Connected Wind-PV System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 591–99. http://dx.doi.org/10.31142/ijtsrd19048.

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Trung, Tran Thai, Seon-Ju Ahn, and Joon-Ho Choi. "Real Time Simulation of Distribution System with Distributed Energy Resources." Journal of Clean Energy Technologies 3, no. 1 (2015): 57–61. http://dx.doi.org/10.7763/jocet.2015.v3.169.

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Dash, Ritesh, Chinmaya Behera, Pratik Ranjan Behera, Manas Ranjan Sarangi, and Kunjan Kumar Mohapatra. "A Review on Hybrid Energy System and A Model Simulation." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 150–53. http://dx.doi.org/10.15373/22778179/may2014/46.

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4

Barrett, Mark, and Catalina Spataru. "Dynamic Simulation of Energy System." Advanced Materials Research 622-623 (December 2012): 1017–21. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1017.

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This paper investigates how society engenders demands for energy services that vary with time and climate, and how renewable and other energy resources can be deployed to meet these demands. Because the whole people-energy system is modeled, there is little detail about any component, instead an overall picture of how the entire system works is presented in this paper. It became apparent that the design and performance of dwelling energy systems, and to some extent the behavior of people, cannot be considered in isolation from the whole system. In order to get a picture of how the entire system works, the greater the diversity better overview can be obtained. But, from a practical perspective it is difficult to simultaneously model in detail a large number of people-dwelling combinations, alongside all other demands and electricity and other supply.
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Chaudhuri, A. S., and J. Jhampati. "System analysis and simulation—electric energy system." Annual Review in Automatic Programming 12 (January 1985): 389–94. http://dx.doi.org/10.1016/0066-4138(85)90408-2.

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Liu, Lei, Takeyoshi Kato, Paras Mandal, Alexey Mikhaylov, Ashraf M. Hemeida, Hiroshi Takahashi, and Tomonobu Senjyu. "Two cases studies of Model Predictive Control approach for hybrid Renewable Energy Systems." AIMS Energy 9, no. 6 (2021): 1241–59. http://dx.doi.org/10.3934/energy.2021057.

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<abstract><p>This work presents a load frequency control scheme in Renewable Energy Sources(RESs) power system by applying Model Predictive Control(MPC). The MPC is designed depending on the first model parameter and then investigate its performance on the second model to confirm its robustness and effectiveness over a wide range of operating conditions. The first model is 100% RESs system with Photovoltaic generation(PV), wind generation(WG), fuel cell, seawater electrolyzer, and storage battery. From the simulation results of the first case, it shows the control scheme is efficiency. And base on the good results of the first case study, to propose a second case using a 10-bus power system of Okinawa island, Japan, to verify the efficiency of proposed MPC control scheme again. In addition, in the second case, there also applied storage devices, demand-response technique and RESs output control to compensate the system frequency balance. Last, there have a detailed results analysis to compare the two cases simulation results, and then to Prospects for future research. All the simulations of this work are performed in Matlab®/Simulink®.</p></abstract>
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Babar, Deepali R. "Simulation of Hybrid Energy Storage System." International Journal for Research in Applied Science and Engineering Technology 6 (January 31, 2018): 1042–45. http://dx.doi.org/10.22214/ijraset.2018.1157.

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Dev, Nikhil, Satyapal, and Tarun Kumar Kurmi. "Simulation of CHP Energy Conversion System." INROADS- An International Journal of Jaipur National University 5, no. 1s (2016): 149. http://dx.doi.org/10.5958/2277-4912.2016.00029.1.

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Elhaj, Mohamed A., Jamal S. Yassin, and Ali Ahmed Mutordi. "Simulation of Solar Energy Storage System." Advanced Materials Research 658 (January 2013): 437–45. http://dx.doi.org/10.4028/www.scientific.net/amr.658.437.

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The present study deals with the main parameters of a storage tank-collector system, the proposal system included a flat plate solar collector coupling by a storage unit to serve the energy requirement of small Libyan family (3-5 persons).The studied parameters included the selection of the storage size needed for a given collector area and a given load under Libyan climatic condition. These parameters include the appropriate location for inlet and outlet ports of the hot water in the storage tank.A mathematical simulation model was written based on the given parameters and the input data of Misurata city in libya the location (L=32.15 N, 15.15W) as a case study. The developed program was carried out in visual basic 6.The final results showed that a storage tank with a capacity of (125 Litters per square meters) is sufficient to cover the requirement of Libyan family (3-5 persons). Also,. Furthermore, the hot water from the collector should be entered the storage tank at the upper portion of the tank to satisfy for the previous enhancement.
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10

Gough, M. C. B. "Component based building energy system simulation." International Journal of Ambient Energy 7, no. 3 (July 1986): 137–43. http://dx.doi.org/10.1080/01430750.1986.9675492.

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11

Çakmak, Hüseyin, Anselm Erdmann, Michael Kyesswa, Uwe Kühnapfel, and Veit Hagenmeyer. "A new distributed co-simulation architecture for multi-physics based energy systems integration." at - Automatisierungstechnik 67, no. 11 (November 26, 2019): 972–83. http://dx.doi.org/10.1515/auto-2019-0081.

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Abstract Simulating energy systems integration scenarios enables a comprehensive consideration of interdependencies between multimodal energy grids. It is an important part of the planning for the redesign of the current energy system infrastructure, which is essential for the foreseen drastic reduction of carbon emissions. In contrast to the complex implementation of monolithic simulation architectures, emerging distributed co-simulation technologies enable the combination of several existing single-domain simulations into one large energy systems integration simulation. Accompanying disadvantages of coupling simulators have to be minimized by an appropriate co-simulation architecture. Hence, in the present paper, a new simulation architecture for energy systems integration co-simulation is introduced, which enables an easy and fast handling of the therefore required simulation setup. The performance of the new distributed co-simulation architecture for energy systems integration is shown by a campus grid scenario with a focus on the effects of power to gas and the reversal process onto the electricity grid. The implemented control strategy enables a successful co-simulation of electrolysis coupled with photovoltaics, a hydrogen storage with a combined heat and power plant and a variable power consumption.
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Choi, Eunyeong, and Hyunjin Ji. "Optimal Ccontrol Strategy of Cooling System for Polymer Electrolyte Membrane Fuel Cell using Hardware-In-the-Loop Simulation." Journal of Energy Engineering 25, no. 1 (March 31, 2016): 113–21. http://dx.doi.org/10.5855/energy.2015.25.1.113.

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13

Oladeji, Akinola Sunday, Mudathir Funsho Akorede, Salihu Aliyu, Abdulrasaq Apalando Mohammed, and Adebayo Wahab Salami. "Simulation-Based Optimization of Hybrid Renewable Energy System for Off-grid Rural Electrification." International Journal of Renewable Energy Development 10, no. 4 (March 18, 2021): 667–86. http://dx.doi.org/10.14710/ijred.2021.31316.

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There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.000880) obtained from the HOMER® optimization tool. Also, the LCOE with the proposed approach was calculated at $0.417/kWh, which is lower than the $0.444/kWh obtained from HOMER®. From environmental perspective, it is found that while 141,370.66 kg of CO2 is saved in the base year, 183,206.51 kg of CO2 is saved in the ninth year.The study concluded that the approach is computationally efficient and performed better than HOMER® for this particular problem.The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited
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TANABE, Akihiro, Yohei BABA, Hitoshi ASANO, Yoshinori HISAZUMI, Hideki YAMAGUCHI, and Hikaru MORITA. "E110 DYNAMIC SIMULATION OF NEW CENTRAL HOT WATER SUPPLY SYSTEM FOR RESIDENTIAL BUILDING(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–287_—_1–292_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-287_.

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15

Preda, Andrei, and Andrei Alexandru Scupi. "Energy Review on a Maritime Energy Transfer System for Comercial Use." Advanced Materials Research 837 (November 2013): 763–68. http://dx.doi.org/10.4028/www.scientific.net/amr.837.763.

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Despite the low energy and lower maintenance benefits of marine heat pump systems, little work has been undertaken in detailed analysis and simulation of such systems. This heat pump system is very attracting increasing research interests, since the system can be powered by thermal energy that can be provided by a renewable source: the difference of temperature between the ocean water layers.This paper focuses on the annual energy consumption and COP ( performance coefficent) of a marine heat pump system implemented for comercial use. This unconventional maritime systems of energy transfer would solve some of the pollution problems that arise from the use of conventional fuels . By using this system can make a pretty big energy savings in heating our homes and in preparation of hot water for domestic use.This energy consumption takes into account the heating and cooling needs of structure along different periods of time, such as winter and summer. Moreover, for each year period, we compared the heat pump efficiency simulated for our cost line with other tree tipes of heat pumps that are using diffrents primary agents. To highlight the performance of heat pump used for this study we coupled it with solar panels. The simulation, performed with TRNSYS (Transient Systems Simulation Program), was made for different working conditions simulating real conditions and temperature variations that occur in a year in the Black Sea coastal area.This experiment is intended to emphasize that marine energy potential that we have and also the advantages of using unconventional energy in relation to the use of classic fuels.This unconventional system of thermal energy conversion can be applied to both residential and commercial areas bringing an important benefit both people and the environment.
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Pavlović, Tomislav, Ivan Župan, Viktor Šunde, and Željko Ban. "HIL Simulation of a Tram Regenerative Braking System." Electronics 10, no. 12 (June 9, 2021): 1379. http://dx.doi.org/10.3390/electronics10121379.

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Regenerative braking systems are an efficient way to increase the energy efficiency of electric rail vehicles. During the development phase, testing of a regenerative braking system in an electric vehicle is costly and potentially dangerous. For this reason, Hardware-In-the-Loop (HIL) simulation is a useful technique to conduct the system’s testing in real time where the physical parts of the system are replaced by simulation models. This paper presents a HIL simulation of a tram regenerative braking system performed on a scaled model. First, offline simulations are performed using a measured speed profile in order to validate the tram, supercapacitor, and power grid model, as well as the energy control algorithm. The results are then verified in the real-time HIL simulation in which the tram and power grid are emulated using a three-phase converter and LiFePO4 batteries. The energy flow control algorithm controls a three-phase converter which enables the control of energy flow within the regenerative braking system. The results validate the simulated regenerative braking system, making it applicable for implementation in a tram vehicle.
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17

Hibino, Hironori, Toru Sakuma, and Makoto Yamaguchi. "Evaluation System for Energy Consumption and Productivity in Manufacturing System Simulation." International Journal of Automation Technology 6, no. 3 (May 5, 2012): 279–88. http://dx.doi.org/10.20965/ijat.2012.p0279.

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Industries need to design and improve their manufacturing systems while considering energy consumption and productivity concurrently. Manufacturing system simulation is often used to evaluate productivity when manufacturing systems are designed or improved. However, it is difficult to use simulation to evaluate energy consumption when designing and improving manufacturing systems. The purpose of our research is to establish a system for the concurrent evaluation of energy consumption and productivity in manufacturing system simulation. In this paper, first, requirements for a simulation to evaluate energy consumption and productivity are analyzed. Second, an evaluation system is proposed in consideration of the requirements. A Unified Modeling Language (UML) model that defines facility state transitions and relationships between the facility state and energy consumption is proposed. A manufacturing system simulation implemented in the proposed UML model is also proposed and developed. The proposed simulation is also implemented in a function to concurrently generate information on production throughput and energy consumption along a time progression. A system that provides a function to visually evaluate dynamic changes in the energy consumption per unit of production throughput along a time progression is also proposed and developed. Finally, a case study for semiconductor manufacturing systems is carried out to confirm the efficiency of our proposed evaluation system.
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18

Shoults, R. R., M. S. Chen, and A. Domijan. "The Energy Systems Research Center Electric Power System Simulation Laboratory and Energy Management System Control Center." IEEE Power Engineering Review PER-7, no. 2 (February 1987): 49–50. http://dx.doi.org/10.1109/mper.1987.5527562.

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19

Shoults, R. R., M. S. Chen, and A. Domijan. "The Energy Systems Research Center Electric Power System Simulation Laboratory and Energy Management System Control Center." IEEE Transactions on Power Systems 2, no. 1 (1987): 239–45. http://dx.doi.org/10.1109/tpwrs.1987.4335106.

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20

Zhang, LinNa, XuXia Li, Jia Li, JiaoJiao Deng, and XiaoMing Zheng. "New Energy Power System Coordination Simulation Method." Journal of Physics: Conference Series 2005, no. 1 (August 1, 2021): 012184. http://dx.doi.org/10.1088/1742-6596/2005/1/012184.

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21

ARAI, Shungo, Munehiro SUGIYAMA, Hironori HIBINO, Takamasa HORIKAWA, Shoutarou MIURA, and Makoto YAMAGUCHI. "Manufacturing System Simulation to Evaluate Energy Productivity." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): S14422P. http://dx.doi.org/10.1299/jsmemecj.2019.s14422p.

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22

Hibino, Hironori, Makoto Yamaguchi, Takayuki Kobayashi, and Masahiro Yamamoto. "Manufacturing System Simulation to Evaluate Energy Productivity." Proceedings of Manufacturing Systems Division Conference 2016 (2016): 109. http://dx.doi.org/10.1299/jsmemsd.2016.109.

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23

HIBINO, Hironori, Takamasa HORIKAWA, Takayuki KOBAYASHI, Masahiro YAMAMOTO, and Makoto YAMAGUCHI. "Manufacturing System Simulation to Evaluate Energy Productivity." Proceedings of Manufacturing Systems Division Conference 2017 (2017): 207. http://dx.doi.org/10.1299/jsmemsd.2017.207.

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ARAI, Shungo, Hironori HIBINO, Masahiro YAMAMOTO, Takamasa HORIKAWA, and Makoto YAMAGUCHI. "Manufacturing System Simulation to Evaluate Energy Productivity." Proceedings of Manufacturing Systems Division Conference 2018 (2018): 201. http://dx.doi.org/10.1299/jsmemsd.2018.201.

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ARAI, Shungo, Kako MATSUMOTO, Hironori HIBINO, Takamasa HORIKAWA, and Makoto YAMAGUCHI. "Manufacturing System Simulation to Evaluate Energy Productivity." Proceedings of Manufacturing Systems Division Conference 2019 (2019): 601. http://dx.doi.org/10.1299/jsmemsd.2019.601.

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Bottecchia, Luigi, Pietro Lubello, Pietro Zambelli, Carlo Carcasci, and Lukas Kranzl. "The Potential of Simulating Energy Systems: The Multi Energy Systems Simulator Model." Energies 14, no. 18 (September 11, 2021): 5724. http://dx.doi.org/10.3390/en14185724.

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Energy system modelling is an essential practice to assist a set of heterogeneous stakeholders in the process of defining an effective and efficient energy transition. From the analysis of a set of open-source energy system models, it emerged that most models employ an approach directed at finding the optimal solution for a given set of constraints. On the contrary, a simulation model is a representation of a system used to reproduce and understand its behaviour under given conditions without seeking an optimal solution. In this paper, a new open-source energy system model is presented. Multi Energy Systems Simulator (MESS) is a modular, multi-energy carrier, multi-node model that allows the investigation of non optimal solutions by simulating an energy system. The model was built for urban level analyses. However, each node can represent larger regions allowing wider spatial scales to be represented as well. In this work, the tool’s features are presented through a comparison between MESS and Calliope, a state of the art optimization model, to analyse and highlight the differences between the two approaches, the potentialities of a simulation tool and possible areas for further development. The two models produced coherent results, showing differences that were tracked down to the different approaches. Based on the comparison conducted, general conclusions were drawn on the potential of simulating energy systems in terms of a more realistic description of smaller energy systems, lower computational times and increased opportunity for participatory processes in planning urban energy systems.
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Alionte, Cristian-Gabriel, and Liviu-Marian Ungureanu. "Modelling and simulation of a wind energy system." E3S Web of Conferences 112 (2019): 02009. http://dx.doi.org/10.1051/e3sconf/201911202009.

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Nowadays, wind energy systems are the most efficient systems of all renewable energy production systems. Therefore, all sizes and types of this kind of systems are available, but there are few portable systems which can be temporarily mounted in certain isolated areas. We propose in this case study another solution as an alternative: an adaptable mechatronic system which can withstand even in very difficult and challenging weather conditions due to their active surfaces that have reconfigurable automatic structure.
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Elweddad, Mohamed, Muhammet Güneşer, and Ziyodulla Yusupov. "Designing an energy management system for household consumptions with an off-grid hybrid power system." AIMS Energy 10, no. 4 (2022): 801–30. http://dx.doi.org/10.3934/energy.2022036.

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<abstract> <p>This paper analyzes the effect of meteorological variables such as solar irradiance and ambient temperature in addition to cultural factors such as consumer behavior levels on energy consumption in buildings. Reducing demand peaks to achieve a stable daily load and hence lowering electricity bills is the goal of this work. Renewable generation sources, including wind and Photovoltaics systems (PV) as well as battery storage are integrated to supply the managed home load. The simulation model was conducted using Matlab R2019b on a personal laptop with an Intel Core i7 with 16 GB memory. The model considered two seasonal scenarios (summer and winter) to account for the variable available energy sources and end-user electric demand which is classified into three demand periods, peak-demand, mid-demand, and low-demand, to evaluate the modeled supply-demand management strategy. The obtained results showed that the surrounding temperature and the number of family members significantly impact the rate of electricity consumption. The study was designed to optimize and manage electricity consumption in a building fed by a standalone hybrid energy system.</p> </abstract>
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Makar, Martin, Luka Pravica, and Martina Kutija. "Supercapacitor-Based Energy Storage in Elevators to Improve Energy Efficiency of Buildings." Applied Sciences 12, no. 14 (July 16, 2022): 7184. http://dx.doi.org/10.3390/app12147184.

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Improving energy efficiency is the most important goal for buildings today. One of the ways to increase energy efficiency is to use the regenerative potential of elevators. Due to the special requirements of elevator drives, energy storage systems based on supercapacitors are the most suitable for storing regenerative energy. This paper proposes an energy storage system consisting of a supercapacitor bank and a bidirectional six-phase interleaved DC/DC converter. The energy savings achieved by the proposed system were investigated through simulation tests. The proposed system was modeled considering all physical constraints. A simulation model of the existing faculty elevator system was created in PLECS and verified with field measurements. Reliable results were ensured by using the verified simulation model and considering all physical constraints. The operation of the proposed energy storage system was tested under various conditions. In addition, the simulation model of the elevator system with the proposed energy storage system was tested using the elevator traffic data obtained from the measurements. The simulation results show the effectiveness of the proposed energy storage system and that significant energy savings can be achieved.
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Ghosh, Subarto Kumar, Tushar Kanti Roy, Md Abu Hanif Pramanik, Ajay Krishno Sarkar, and Md Apel Mahmud. "An Energy Management System-Based Control Strategy for DC Microgrids with Dual Energy Storage Systems." Energies 13, no. 11 (June 10, 2020): 2992. http://dx.doi.org/10.3390/en13112992.

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In this work, a control strategy is developed for different components in DC microgrids where set points for all controllers are determined from an energy management system (EMS). The proposed EMS-based control scheme is developed for DC microgrids with solar photovoltaic (PV) systems as the primary generation units along with energy storage systems. In this work, the concept of dual energy storage systems (DESSs) is used, which includes a battery energy storage system (BESS) and supercapacitor (SC). The main feature of this DESS is to improve the dynamic performance of DC microgrids during severe transients appearing from changes in load demands as well as in the output power from solar PV units. Furthermore, the proposed EMS-based control scheme aims to enhance the lifetime of the BESS in DC microgrids with DESSs and voltage stability as compared to the same without SCs. The proposed EMS-based control strategy uses proportional-integral (PI) controllers to regulate the switching control actions for different converters within the DC microgrid based on the decision obtained from the EMS in order to achieve the desired control objectives. The performance of the proposed scheme was analyzed through simulation results in terms of improving the voltage stability, maintaining the power balance, and enhancing the lifetime of BESSs within a DC microgrid framework incorporated with the DESS. The simulations are carried out in the MATLAB/SIMULINK simulation platform and compared with a similar approach having only a single energy storage system, i.e., the BESS.
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Weiler, Verena, and Ursula Eicker. "Automatic energy demand and system simulation at district level." Sustainability Management Forum | NachhaltigkeitsManagementForum 29, no. 2 (June 2021): 133–41. http://dx.doi.org/10.1007/s00550-021-00519-3.

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AbstractThe importance of climate protection and sustainability is steadily increasing all over the world. However, there is a large potential for reducing emissions in the heating demand reduction and renewable heat supply of buildings that needs to be addressed. Therefore, a method was developed within the scope of this work that allows local decision-makers such as energy supply companies, project developers and the public sector to calculate, evaluate and compare different scenarios to make buildings and city districts more sustainable based on few and widely available input data. It includes both the determination of the heat demand and measures for its reduction as well as the selection and simulation of centralised and decentralised supply systems. A combination of different methods from the fields of geoinformatics, heuristic decision-making and object-oriented modelling is used. The latter forms a focal point in the work with the development of a data model for energy system components to enable automatic simulation. The applicability as well as the transferability of the method is shown in several case studies. Based on the simulations results, which can be related to CO2 emissions as well as costs, recommendations for the implementation of measures can be given and implemented.The paper is a summary of the dissertation with the title “Automatische Simulation von Wärmebedarf und -versorgung auf Quartiersebene” by the first author at Karlsruhe Institute for Technology.
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Słodkowski, Marcin, Patryk Gawryszewski, Patryk Marcinkowski, Dominik Setniewski, and Joanna Porter-Sobieraj. "Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU)." Proceedings 10, no. 1 (April 15, 2019): 27. http://dx.doi.org/10.3390/proceedings2019010027.

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We are developing a software for energy loss simulation which is affected by jets in the nuclear matter described by relativistic hydrodynamics. Our program uses a Cartesian coordinate system in order to provide high spatial resolution for the analysis of jets propagation in nuclear matter. In this work, we use 7th order WENO numerical algorithm which is resistant to numerical oscillations and diffusions. For simulating energy losses in the bulk nuclear medium, we develop efficient hydrodynamic simulation program for parallel computing using Graphics Processing Unit (GPU) and Compute Unified Device Architecture (CUDA). It allows us to prepare event-by-event simulations in high computing precision in order to study jet modifications in the medium and event-by-event simulations of fluctuating initial conditions. In our simulation, we start the hydrodynamic simulation from generation initial condition based on the UrQMD model in order to simulate comparable nucleus-nucleus interaction in the RHIC and LHC energies. The main part of this simulation is the computation of hydrodynamic system evolution. We present obtained energy density distributions which can be compared to experimental results.
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33

Hegendörfer, Andreas, Paul Steinmann, and Julia Mergheim. "Nonlinear finite element system simulation of piezoelectric vibration-based energy harvesters." Journal of Intelligent Material Systems and Structures 33, no. 10 (October 8, 2021): 1292–307. http://dx.doi.org/10.1177/1045389x211048222.

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Piezoelectric vibration-based energy harvesters consist of an electromechanical structure and an electric circuitry, influencing each other. We propose a novel approach that allows a finite element based system simulation of nonlinear electromechanical structures coupled to nonlinear electric circuitries. In the finite element simulation the influence of the electric circuit on the electromechanical structure is considered via the vector of external forces, using an implicit time integration scheme. To demonstrate the applicability of the new simulation method an active power circuit is considered. Several examples of piezoelectric vibration-based energy harvesters, connected to standard or synchronized switch harvesting on inductor (SSHI) circuits, showing linear or nonlinear mechanical behavior, are studied to validate the proposed simulation method against numerical results reported in the literature. The advocated method allows for consistent and efficient simulations of complete nonlinear energy harvesters using only one software tool.
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Muhsen, Hani, Asma Alkhraibat, and Ala’aldeen Al-Halhouli. "Real-Time Simulation and Energy Management Attainment of Microgrids." Sustainability 15, no. 3 (February 2, 2023): 2696. http://dx.doi.org/10.3390/su15032696.

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The rapid spread of Microgrid systems has led to the need for an intensive analysis of the system to avoid several challenges such as stability, reliability, power balance, and other aspects. In this context, real-time simulation plays a vital role in the overall system study before the actual implementation stage. This helps avoid many on-site problems of the Microgrid by simulating the system and studying different operation scenarios. This paper uses the OPAL-RT simulator to perform a real-time simulation of an MG case study. Furthermore, it examines the implementation of the Fault Ride Through technique to overcome the total disconnection of the PV system following unpredictable faults. Moreover, a Load curtailment solution method is proposed in this study, to meet the balance and stable operation of the MG. The results prove the effectiveness of both techniques, with FRT implementation reducing the losses by about 62%, and the Load curtailment algorithm maintaining the balance of the MG.
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Gudelj, Anita, and Maja Krčum. "Simulation and Optimization of Independent Renewable Energy Hybrid System." Transactions on Maritime Science 2, no. 1 (April 20, 2013): 28–35. http://dx.doi.org/10.7225/toms.v02.n01.004.

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In this paper the majority of research refers to the optimal configuration of hybrid system that uses renewable energy and wind energy and solar radiation in association with diesel aggregate and batteries. These independent energy systems (hybrid systems) are becoming popular due to increasing energy costs and decreasing prices of turbines and Photo-Voltaic (PV) panels. But the only drawback is that their outputs depend upon the climatic conditions. The main goal to optimization a hybrid system is necessary to obtain the configuration of the system as well as the control strategy that minimizes the total cost through the useful life of the installation to meet the desired consumption and/or the pollutant emissions. The HOGA (Hybrid Optimizations by Genetic Algorithms) program was used to simulate the system operation and calculate technical economic parameters for each configuration. The system configuration of the hybrid is derived based on the data of wind and solar radiation which are related to the southern Croatian coast, as on a theoretical annual load at an observed location. Also, technical data for components are taken from the manufacturer’s specifications (datasheet). In this paper the advantages and disadvantages of commonly used types of generators (synchronous and asynchronous generators) are presented. Results show that the hybrid systems have considerable reductions in carbon emission and cost of the system.
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36

Nagamalleswara Rao, Gujjar. "Comparison of Experimental and Simulation Studies on Thermal Stratification in a Thermal Energy Storage System." Journal of Advanced Research in Mechanical Engineering and Technology 05, no. 1&2 (March 19, 2018): 17–24. http://dx.doi.org/10.24321/2454.8650.201802.

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37

Ferques, Rafael Gil, C. E. C. Nogueira, A. M. Meneghetti, and D. M. Rocha. "Computational System for Sizing Wind Energy Generation Systems Using Artificial Neural Networks." Journal of Agricultural Science 10, no. 10 (September 15, 2018): 423. http://dx.doi.org/10.5539/jas.v10n10p423.

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The objective of this work was to develop a computational application for the design of wind power generation systems in small-scale On-Grid and Off-Grid installations, using a user friendly and interactive process. Using artificial intelligence concepts in conjunction with genetic algorithms, to verify the technical and economic viability of the implementation of the wind power generation system. The application coding was done using the languages Java, C, C++ and the database in MySQL language, containing technical specifications and costs of components of a wind system (of this type of system). For the development of neural networks and genetic algorithms, the Encog library was used. The application has proven effective in designing and economic analysis of small wind systems, allowing fast and simple simulation of On-Grid systems and Off-Grid systems. In addition, it proved effective in storing and accessing the information regarding the simulations performed and in the comparison between them, in order to perform a new simulation. Also, it was reliable in the accomplishment of the economic analysis, returning in a clear form the feasibility or not of the implantation of the project.
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38

Belik, Milan. "Optimisation of Energy Accumulation for Renewable Energy Sources." Renewable Energy and Power Quality Journal 19 (September 2021): 205–10. http://dx.doi.org/10.24084/repqj19.258.

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This project focuses on optimisation of energy accumulation for various types of distributed renewable energy sources. The main goal is to prepare charging – discharging strategy depending on actual power consumption and prediction of consumption and production of utilised renewable energy sources for future period. The simulation is based on real long term data measured on photovoltaic system, wind power station and meteo station between 2004 – 2021. The data from meteo station serve as the input for the simulation and prediction of the future production while the data from PV system and wind turbine are used either as actual production or as a verification of the predicted values. Various parameters are used for trimming of the optimisation process. Influence of the charging strategy, discharging strategy, values and shape of the demand from the grid and prices is described on typical examples of the simulations. The main goal is to prepare and verify the system in real conditions with real load chart and real consumption defined by the model building with integrated renewable energy sources. The system can be later used in general installations on commercial or residential buildings.
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39

Kim, Nam-Kyu, Myung-Hyun Shim, and Dongjun Won. "Building Energy Management Strategy Using an HVAC System and Energy Storage System." Energies 11, no. 10 (October 10, 2018): 2690. http://dx.doi.org/10.3390/en11102690.

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Recently, a worldwide movement to reduce greenhouse gas emissions has emerged, and includes efforts such as the Paris Agreement in 2015. To reduce greenhouse gas emissions, it is important to reduce unnecessary energy consumption or use environmentally-friendly energy sources and consumer products. Many studies have been performed on building energy management systems and energy storage systems (ESSs), which are aimed at efficient energy management. Herein, a heating, ventilation, and air-conditioning (HVAC) system peak load reduction algorithm and an ESS peak load reduction algorithm are proposed. First, an HVAC system accounts for the largest portion of building energy consumption. An HVAC system operates by considering the time-of-use price. However, because the indoor temperature is constantly changing with time, load shifting can be expected only immediately prior to use. Therefore, the primary objective is to reduce the operating time by changing the indoor temperature constraint at the forecasted peak time. Next, numerous research initiatives on ESSs are ongoing. In this study, we aim to systematically design the peak load reduction algorithm of ESS. The structure is designed such that the algorithm can be applied by distinguishing between the peak and non-peak days. Finally, the optimization scheduling simulation is performed. The result shows that the electricity price is minimized by peak load reduction and electricity usage reduction. The proposed algorithm is verified through MATLAB simulations.
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40

Deng, Zhipeng, and Qingyan Chen. "Impact of occupant behavior on energy use of HVAC system in offices." E3S Web of Conferences 111 (2019): 04055. http://dx.doi.org/10.1051/e3sconf/201911104055.

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The current methods for simulating building energy consumption are often inaccurate, and the error could be as large as 150%. Various types of occupant behavior may explain this inaccuracy. Therefore, it is important to identify an approach to estimate the impact of the behaviors on the energy consumption. The present study used EnergyPlus program to simulate the energy consumption of the HVAC system in an office building by implementing a behavioral artificial neural network (ANN) model. The behavioral ANN model calculates the probability of behavior occurrence according to indoor air temperature, relative humidity, clothing level and metabolic rate. The probability was used to predict energy use in 20 offices for one month in winter, spring and summer in 2018, respectively. Measured energy data from the offices were used to validate the simulated results. When a behavioral artificial neural network (ANN) model was implemented in the energy simulation, the difference between the simulated results and the measured data was less than 13%. Energy simulation using constant thermostat set point without considering occupant behavior was not accurate. Our further simulations found that adjustment of thermostat set point and clothing level by occupants could lead to 25% and 15% energy use variation in interior offices and exterior offices, respectively.
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41

Wang, Yongli, Yue Teng, Bo Yuan, Hanzhi Zhou, Aixi Huang, and Yuanfei Li. "User-side integrated energy system efficiency assessment system and application." Journal of Physics: Conference Series 2409, no. 1 (December 1, 2022): 012013. http://dx.doi.org/10.1088/1742-6596/2409/1/012013.

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Abstract In view of the lack of systematic investigation on the evaluation indexes of user-side integrated energy systems, a scientific and systematic evaluation index system is proposed from four aspects: energy efficiency, cost-effectiveness, energy supply quality and environmental protection, and the calculation methods of each index are given based on time-series simulation and sequential Monte Carlo simulation. The results indicate that the proposed evaluation index system can provide a foundation for the decision-making of the user-side integrated energy system planning scheme.
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42

Vidović, Danko, Elis Sutlović, and Matislav Majstrović. "A Unique Electrical Model for the Steady-State Analysis of a Multi-Energy System." Energies 14, no. 18 (September 13, 2021): 5753. http://dx.doi.org/10.3390/en14185753.

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In order to decarbonize the energy sector, the interdependencies between the power and natural gas systems are going to be much stronger in the next period. Thus, it is necessary to have a powerful simulation model that is able to efficiently and simultaneously solve all coupled energy carriers in a single simulation environment in only one simulation step. As an answer to the described computational challenges, a unique model for the steady-state analysis of a multi-energy system (MES) using the electrical analogy approach is developed. Detailed electrical equivalent models, developed using the network port theory and the load flow method formulation, of the most important natural gas network elements, as well as of the linking facilities between the power and natural gas systems, are given. The presented models were loaded up into a well-known software for the power system simulation—NEPLAN. In the case studies, the accuracy of the presented models is confirmed by the comparison of the simulation results with the results obtained by SIMONE—a well-known software for natural gas network simulations. Moreover, the applicability of the presented unique model is demonstrated by the MES security of a supply analysis.
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43

Garg, Ritu, and Neha Garg. "Energy Management in a Multi-Source Energy Harvesting IoT System." Journal of Information Technology Research 13, no. 2 (April 2020): 42–59. http://dx.doi.org/10.4018/jitr.2020040103.

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To guarantee the uninterrupted operation of an IoT node, IoT nodes are installed with energy harvesting techniques to prolong their lifetime and recharge their batteries. Mostly energy harvesting systems collect energy from sunlight and wind. However, the energy harvested from the sunlight is non-continuous and energy harvested from the wind is insufficient for continuously powering an IoT node. Thus, to resolve this problem, authors proposed an energy harvesting system namely SWEH which harvests energy from solar light and wind. In this article, authors proposed a scheduling algorithm to balance the energy produced by SWEH and the energy consumption of an IoT node that results in the energy neutral system. Results from simulation analysis clearly manifest that the proposed SWEH system extracts more energy as compared to energy produced by a single solar panel or wind turbine. With the help of simulation results, authors also show that the proposed algorithm leaves the system in energy neutral state at the end of particular time frame.
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44

Yang, Guang Hao, You Bing Zhang, Ji Yun Yu, and Hui Yong Liu. "Modeling and Simulation of MMC-HVDC Energy System." Advanced Materials Research 960-961 (June 2014): 1361–66. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1361.

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In order to study the steady-state performance of modular multilevel voltage source converter (MMC-HVDC), a 21-level MMC-HVDC system is modeled by PSCAD/EMTDC software. This system uses the DC voltage and active power controls, which are designed by the fundamental operation principles and mathematical models of MMC-HVDC. By analyzing the steady-state performance of MMC-HVDC, the corresponding simulation waveforms verify the correctness and validity of the simulation model.
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45

INOUE, Toshihiro, Satoshi OKAMURA, Makoto IIDA, Chuichi ARAKAWA, and Takao NISHIMURA. "Study of Wind Power System by Energy Simulation." Proceedings of the JSME annual meeting 2004.3 (2004): 299–300. http://dx.doi.org/10.1299/jsmemecjo.2004.3.0_299.

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46

Sowell, Edward F., and Philip Haves. "Efficient solution strategies for building energy system simulation." Energy and Buildings 33, no. 4 (April 2001): 309–17. http://dx.doi.org/10.1016/s0378-7788(00)00113-4.

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47

Sekhar, S. C., and Chung Jee Yat. "Energy simulation approach to air-conditioning system evaluation." Building and Environment 33, no. 6 (November 1998): 397–408. http://dx.doi.org/10.1016/s0360-1323(97)00056-5.

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48

Parten, M. "Computer simulation on a repetitive energy transfer system." IEEE Transactions on Magnetics 22, no. 6 (November 1986): 1645–47. http://dx.doi.org/10.1109/tmag.1986.1064741.

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49

Gajewski, Piotr, and Krzysztof Pieńkowski. "Control of the Hybrid Renewable Energy System with Wind Turbine, Photovoltaic Panels and Battery Energy Storage." Energies 14, no. 6 (March 13, 2021): 1595. http://dx.doi.org/10.3390/en14061595.

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The aim of the paper is the study of the Hybrid Renewable Energy System, which is consisted of two types of renewable energy systems (wind and sun) and is combined with storage energy system (battery). The paper presents the classification and review of architectures of Hybrid Renewable Energy Systems. The considered Hybrid Renewable Energy System was designed as a multi-converter system with gearless Wind Turbine driven Permanent Magnet Synchronous Generator and with a Photovoltaic Array and Battery Energy System. The mathematical models of individual elements of a complex Hybrid Renewable Energy System were described. In the control of both systems of Wind Turbine with Permanent Magnet Synchronous Generator and Photovoltaic array, the algorithms of Maximum Power Point Tracking have been implemented for higher efficiency of energy conversion. The energy storage in the battery has been managed by the control system of a bidirectional DC/DC converter. For the control of the Machine Side Converter and Wind Turbine with Permanent Magnet Synchronous Generator, the vector control method has been implemented. In the control system of the Grid Side Converter, the advanced method of Direct Power Control has been applied. The energy management strategies for optimal flows of electrical energy between individual systems of considered hybrid renewable energy system are developed and described. In order to determine the operation of proposed control systems, the simulation studies have been performed for different conditions of operation of individual elements of the complex hybrid system. The considered control methods and energy management strategies were tested thorough simulation studies for different wind speed variations, different sun irradiations, and different local load demands. The performed simulations are of practical importance in terms of proper operation requirements, design selection of components and energy management of Hybrid Renewable Energy Systems.
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50

Lawan, Moussa Gaptia, Mamadou Baïlo Camara, Abdulkareem Shaheed Sabr, Brayima Dakyo, and Ahmed Al Ameri. "Power Control Strategy for Hybrid System Using Three-Level Converters for an Insulated Micro-Grid System Application." Processes 10, no. 12 (November 29, 2022): 2539. http://dx.doi.org/10.3390/pr10122539.

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This paper presents a simulation of an insulated micro-grid system based on the three-level converters control for energy management. Different renewable power sources (wind turbine and Photovoltaic (PV) energy systems) are used to energize the micro-grid. However, a battery energy storage system (BESS) and a variable diesel generator are also used to improve the reliability of the system. The contribution of this research is focused on the power control method based on improving the quality of energy transfer, mastering dynamic interactions and maximum energy production from renewable energies to reduce the fuel consumption by the diesel. Firstly, the proposed control model for each renewable energy was carried out through simulation in the environments of Matlab and Simulink to test the robustness and performance. The second part of this research is dedicated to managing the sharing of power between load, generators, and storage systems by extracting the references of power. The three-level PWM rectifiers for variable speed diesel generators was used to maintain and control the DC bus voltage of the isolated micro-grid. The results obtained from simulations show a good correlation between static and dynamic systems even for fluctuating sun power and wind speed.
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