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Relevant bibliographies by topics / Maximum power

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Academic literature on the topic 'Maximum power'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Journal articles on the topic "Maximum power"

1

Francisco Coelho, Roberto, Walbermark Marques dos Santos, and Denizar Cruz Martins. "INFLUENCE OF POWER CONVERTERS ON PV MAXIMUM POWER POINT TRACKING EFFICIENCY." Eletrônica de Potência 19, no. 1 (February 1, 2014): 73–80. http://dx.doi.org/10.18618/rep.2014.1.073080.

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Enrique, Juan Manuel, José Manuel Andújar, Eladio Durán, and Miguel Angel Martínez. "Maximum power point tracker based on maximum power point resistance modeling." Progress in Photovoltaics: Research and Applications 23, no. 12 (May 21, 2015): 1940–55. http://dx.doi.org/10.1002/pip.2620.

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Magagula, Sibonelo G. "Power Efficiency Optimization of Switched Reluctance Generator (SRG) Using Power Disturbance Maximum Power Point Tracking (MPPT)." International Journal of Computer and Electrical Engineering 9, no. 2 (2017): 445–54. http://dx.doi.org/10.17706/ijcee.2017.9.2.445-454.

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Sooknanan, Anjali. "Minimum Swing Maximum Power." Industrial Vehicle Technology International 2025 (January 2025): 30–34. https://doi.org/10.12968/s1471-115x(25)70048-3.

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Ramkumar, P. V., R. S. Mishra, and Aman Khurana. "Variation in Maximum Power and Maximum Power point with different parameter analysis." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 1 (January 25, 2018): 33–35. http://dx.doi.org/10.35121/ijapie201801128.

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Variation in Maximum power and Maximum power point i.e. voltage at which Maximum Power is observed with different parameters are studied. Parameters are insolation, temperature, series resistance, shunt resistance, and reverse saturation current of the diode. For this I-V and P-V characteristics with a variation of these parameters are analyzed. For finding out the Maximum PowerPoint, Perturb & Observe technique is used. Variation in these points is different with each parameter. All simulation work is done in MATLAB.

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Kuperman, Alon, Moshe Averbukh, and Simon Lineykin. "Maximum power point matching versus maximum power point tracking for solar generators." Renewable and Sustainable Energy Reviews 19 (March 2013): 11–17. http://dx.doi.org/10.1016/j.rser.2012.11.012.

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THOMAS, GWENDOLYN A., WILLIAM J. KRAEMER, BARRY A. SPIERING, JEFF S. VOLEK, JEFFREY M. ANDERSON, and CARL M. MARESH. "MAXIMAL POWER AT DIFFERENT PERCENTAGES OF ONE REPETITION MAXIMUM." Journal of Strength and Conditioning Research 21, no. 2 (May 2007): 336–42. http://dx.doi.org/10.1519/00124278-200705000-00008.

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Youssef, Ayman, Mohamed El Telbany, and Abdelhalim Zekry. "Reinforcement Learning for Online Maximum Power Point Tracking Control." Journal of Clean Energy Technologies 4, no. 4 (2015): 245–48. http://dx.doi.org/10.7763/jocet.2016.v4.290.

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Kumar, Manish, and Charvi Saroj. "Maximum Power Point Tracking using Perturb & Observation Technique." International Journal of Science and Research (IJSR) 10, no. 7 (July 27, 2021): 451–56. https://doi.org/10.21275/sr21703215441.

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Drir, N., L. Barazane, and M. Loudini. "Evaluation of Maximum Power Point Controllers in Photovoltaic System." International Journal of Environmental Science and Development 6, no. 4 (2015): 336–40. http://dx.doi.org/10.7763/ijesd.2015.v6.614.

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Dissertations / Theses on the topic "Maximum power"

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Martin, James Charles. "Maximum neuromuscular power across the lifespan /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Cai, Tingting. "The maximum power principle an empirical investigation /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000112.

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Thesis (Ph. D.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains vii, 175 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Acharya, Parash. "Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application." Thesis, University of Canterbury. Electrical and Computer Engineering, 2013. http://hdl.handle.net/10092/8608.

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This thesis begins with providing a basic introduction of electricity requirements for small developing country communities serviced by small scale generating units (focussing mainly on small wind turbine, small Photo Voltaic system and Micro-Hydro Power Plants). Scenarios of these small scale units around the world are presented. Companies manufacturing different size wind turbines are surveyed in order to propose a design that suits the most abundantly available and affordable turbines. Different Maximum Power Point Tracking (MPPT) algorithms normally employed for these small scale generating units are listed along with their working principles. Most of these algorithms for MPPT do not require any mechanical sensors in order to sense the control parameters like wind speed and rotor speed (for small wind turbines), temperature and irradiation (for PV systems), and water flow and water head (for Micro-Hydro). Models for all three of these systems were developed in order to generate Maximum Power Point (MPP) curves. Similarly, a model for Permanent Magnet Synchronous Generators (PMSGs) has been developed in the d-q reference frame. A boost rectifier which enables active Power Factor Correction (PFC) and has a DC regulated output voltage is proposed before implementing a MPPT algorithm. The proposed boost rectifier works on the principle of Direct Power Control Space Vector Modulation (DPC-SVM) which is based on instantaneous active and reactive power control loops. In this technique, the switching states are determined according to the errors between commanded and estimated values of active and reactive powers. The PMSG and Wind Turbine behaviour are simulated at various wind speeds. Similarly, simulation of the proposed PFC boost rectifier is performed in matlab/simulink. The output of these models are observed for the variable wind speeds which identifies PFC and boosted constant DC output voltage is obtained. A buck converter that employs the MPPT algorithm is proposed and modeled. The model of a complete system that consists of a variable speed small wind turbine, PMSG, DPC-SVM boost rectifier, and buck converter implementing MPPT algorithm is developed. The proposed MPPT algorithm is based upon the principle of adjusting the duty ratio of the buck converter in order reach the MPP for different wind speeds (for small wind turbines) and different water flow rates (Micro-Hydro). Finally, a prototype DPC-SVM boost rectifier and buck converter was designed and built for a turbine with an output power ranging from 50 W-1 kW. Inductors for the boost rectifier and buck DC-DC converter were designed and built for these output power ranges. A microcontroller was programmed in order to generate three switching signals for the PFC boost rectifier and one switching signal for the MPPT buck converter. Three phase voltages and currents were sensed to determine active and reactive power. The voltage vectors were divided into 12 sectors and a switching algorithm based on the DPC-SVM boost rectifier model was implemented in order to minimize the errors between commanded and estimated values of active and reactive power. The system was designed for charging 48 V battery bank. The generator three phase voltage is boosted to a constant 80 V DC. Simulation results of the DPC-SVM based rectifier shows that the output power could be varied by varying the DC load maintaining UPF and constant boosted DC voltage. A buck DC-DC converter is proposed after the boost rectifier stage in order to charge the 48 V battery bank. Duty ratio of the buck converter is varied for varying the output power in order to reach the MPP. The controller prototype was designed and developed. A laboratory setup connecting 4 kW induction motor (behaving as a wind turbine) with 1kW PMSG was built. Speed-torque characteristic of the induction motor is initially determined. The torque out of the motor varies with the motor speed at various motor supply voltages. At a particular supply voltage, the motor torque reaches peak power at a certain turbine speed. Hence, the control algorithm is tested to reach this power point. Although the prototype of the entire system was built, complete results were not obtained due to various time constraints. Results from the boost rectifier showed that the appropriate switching were performed according to the digitized signals of the active and reactive power errors for different voltage sectors. Simulation results showed that for various wind speed, a constant DC voltage of 80 V DC is achieved along with UPF. MPPT control algorithm was tested for induction motor and PMSG combination. Results showed that the MPPT could be achieved by varying the buck converter duty ratio with UPF achieved at various wind speeds.

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Mena, Hugo Eduardo. "Maximum power tracking control scheme for wind generator systems." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2063.

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Gamboa, Gustavo. "REALIZATION OF POWER FACTOR CORRECTION AND MAXIMUM POWER POINT TRACKING FOR LOW POWER WIND TURBINES." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4283.

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In recent years, wind energy technology has become one of the top areas of interest for energy harvesting in the power electronics world. This interest has especially peaked recently due to the increasing demand for a reliable source of renewable energy. In a recent study, the American Wind Energy Association (AWEA) ranked the U.S as the leading competitor in wind energy harvesting followed by Germany and Spain. Although the United States is the leading competitor in this area, no one has been able successfully develop an efficient, low-cost AC/DC convertor for low power turbines to be used by the average American consumer. There has been very little research in low power AC/DC converters for low to medium power wind energy turbines for battery charging applications. Due to the low power coefficient of wind turbines, power converters are required to transfer the maximum available power at the highest efficiency. Power factor correction (PFC) and maximum power point tracking (MPPT) algorithms have been proposed for high power wind turbines. These turbines are out of the price range of what a common household can afford. They also occupy a large amount of space, which is not practical for use in one's home. A low cost AC/DC converter with efficient power transfer is needed in order to promote the use of cheaper low power wind turbines. Only MPPT is implemented in most of these low power wind turbine power converters. The concept of power factor correction with MPPT has not been completely adapted just yet. The research conducted involved analyzing the effect of power factor correction and maximum power point tracking algorithm in AC/DC converters for wind turbine applications. Although maximum power to the load is always desired, most converters only take electrical efficiency into consideration. However, not only the electrical efficiency must be considered, but the mechanical energy as well. If the converter is designed to look like a purely resistive load and not a switched load, a wind turbine is able to supply the maximum power with lower conduction loss at the input side due to high current spikes. Two power converters, VIENNA with buck converter and a Buck-boost converter, were designed and experimentally analyzed. A unique approach of controlling the MPPT algorithm through a conductance G for PFC is proposed and applied in the VIENNA topology. On the other hand, the Buck-boost only operates MPPT. With the same wind profile applied for both converters, an increase in power drawn from the input increased when PFC was used even when the power level was low. Both topologies present their own unique advantages. The main advantage for the VIENNA converter is that PFC allowed more power extraction from the turbine, increasing both electrical and mechanical efficiency. The buck-boost converter, on the other hand, presents a very low component count which decreases the overall cost and volume. Therefore, a small, cost-effective converter that maximizes the power transfer from a small power wind turbine to a DC load, can motivate consumers to utilize the power available from the wind.<br>M.S.E.E.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Electrical Engineering MSEE

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Mena, Lopez Hugo Eduardo. "Maximum power tracking control scheme for wind generator systems." Thesis, Texas A&M University, 2007. http://hdl.handle.net/1969.1/85828.

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The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor speed measurements as control variable inputs. The dependence on the accuracy of the measurement devices makes the controller less reliable. The proposed control scheme is based on the stiff system concept and provides a fast response and a dynamic solution to the complicated aerodynamic system. This control scheme provides a response to the wind changes without the knowledge of wind speed and turbine parameters. The system consists of a permanent magnet synchronous machine (PMSM), a passive rectifier, a dc/dc boost converter, a current controlled voltage source inverter, and a microcontroller that commands the dc/dc converter to control the generator for maximum power extraction. The microcontroller will also be able to control the current output of the three-phase inverter. In this work, the aerodynamic characteristics of wind turbines and the power conversion system topology are explained. The maximum power tracking control algorithm with a variable step estimator is introduced and the modeling and simulation of the wind turbine generator system using the MATLAB/SIMULINK® software is presented and its results show, at least in principle, that the maximum power tracking algorithm developed is suitable for wind turbine generation systems.

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Li, L. "Maximum power control of permanent magnet synchronous generator based wind power generation systems." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3006695/.

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Duncan, Joseph 1981. "A global maximum power point tracking DC-DC converter." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33152.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 79-80).<br>This thesis describes the design, and validation of a maximum power point tracking DC-DC converter capable of following the true global maximum power point in the presence of other local maximum. It does this without the use of costly components such as analog-to-digital converters and microprocessors. It substantially increases the efficiency of solar power conversion by allowing solar cells to operate at their ideal operating point regardless of changes in load, and illumination. The converter switches between a dithering algorithm which tracks the local maximum and a global search algorithm for ensuring that the converter is operating at the true global maximum.<br>by Joseph Duncan.<br>M.Eng.

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Elmes, John. "MAXIMUM ENERGY HARVESTING CONTROL FOROSCILLATING ENERGY HARVESTING SYSTEMS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3400.

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This thesis presents an optimal method of designing and controlling an oscillating energy harvesting system. Many new and emerging energy harvesting systems, such as the energy harvesting backpack and ocean wave energy harvesting, capture energy normally expelled through mechanical interactions. Often the nature of the system indicates slow system time constants and unsteady AC voltages. This paper reveals a method for achieving maximum energy harvesting from such sources with fast determination of the optimal operating condition. An energy harvesting backpack, which captures energy from the interaction between the user and the spring decoupled load, is presented in this paper. The new control strategy, maximum energy harvesting control (MEHC), is developed and applied to the energy harvesting backpack system to evaluate the improvement of the MEHC over the basic maximum power point tracking algorithm.<br>M.S.E.E.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Electrical Engineering MSEE

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Aashoor, Fathi. "Maximum power point tracking techniques for photovoltaic water pumping system." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.683537.

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An investigation into the design of a stand-alone photovoltaic water pumping system for supplying rural areas is presented. It includes a study of system components and their modelling. The PV water pumping system comprises a solar-cell-array, DC-DC buck chopper and permanent-magnet DC motor driving a centrifugal pump. The thesis focuses on increasing energy extraction by improving maximum power point tracking (MPPT). From different MPPT techniques previously proposed, the perturb and observe (P&O) technique is developed because of its ease of implementation and low implementation cost. A modified variable step-size P&O MPPT algorithm is investigated which uses fuzzy logic to automatically adjust step-size to better track maximum power point. Two other MPPT methods are investigated: a new artificial neural network (ANN) method and fuzzy logic (FL) based method. These use PV source output power and the speed of the DC pump motor as input variables. Both generate pulse width modulation (PWM) control signals to continually adjust the buck converter to maximize power from the PV array, and thus motor speed and the water discharge rate of a centrifugal pump. System elements are individually modelled in MATLAB/SIMULINK and then connected to assess performance under different PV irradiation levels. First, the MP&O MPPT technique is compared with the conventional P&O MPPT algorithm. The results show that the MP&O MPPT has faster dynamic response and eliminates oscillations around the MPP under steady-state conditions. The three proposed MPPT methods are implemented in the simulated PV water pumping system and compared. The results confirm that the new methods have improved energy extraction and dynamic tracking compared with simpler methods.

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Books on the topic "Maximum power"

1

Vantine, Julia. Maximum food power for women. Emmaus, Pa: Rodale, 2001.

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McWhirter, Timothy. Maximum Power and its Philosophical Roots. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80622-3.

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Canada, Coaching Association of, ed. Power training for sport: Plyometrics for maximum power development. Gloucester, Ont: Coaching Association of Canada, 1993.

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Bompa, Tudor O. Power training for sport: Plyometrics for maximum power development. Oakville, Ont: Mosaic Press, 1996.

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1930-, Winter Ruth, and Winter Arthur 1922-, eds. Smart food: Diet and nutrition for maximum brain power. New York: St. Martin's Griffin, 1999.

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Mortensen, Kurt W. Maximum influence: The 12 universal laws of power persuasion. New York: AMACOM - American Management Association, 2013.

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1924-, Odum Howard T., and Hall Charles A. S, eds. Maximum power: The ideas and applications of H.T. Odum. Niwot, CO: University Press of Colorado, 1995.

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Eltamaly, Ali M., and Almoataz Y. Abdelaziz, eds. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-05578-3.

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Grant, Reg. The power sermon: Countdown to quality messages for maximum impact. Grand Rapids, Mich: Baker Books, 1993.

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Appelbaum, Joseph. Magnification of starting torques of dc motors by maximum power point trackers in photovoltaic systems. [Washington, DC]: National Aeronautics and Space Administration, 1989.

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Book chapters on the topic "Maximum power"

1

Weik, Martin H. "maximum input power." In Computer Science and Communications Dictionary, 987. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11206.

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Zeng, Gengsheng Lawrence, and Megan Zeng. "Maximum Power Transfer." In Electric Circuits, 93–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60515-5_13.

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Shiraishi, Naoto. "Efficiency at Maximum Power." In Fundamental Theories of Physics, 297–305. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8186-9_15.

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Weik, Martin H. "receiver maximum input power." In Computer Science and Communications Dictionary, 1427. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15638.

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Hall, Charles A. S. "Maximum Power and Biology." In Lecture Notes in Energy, 73–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47821-0_7.

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Jordan, Carl F. "Entropy and Maximum Power." In Evolution from a Thermodynamic Perspective, 113–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85186-6_9.

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Zhong, Wenxing, Dehong Xu, and Ron Shu Yuen Hui. "Review of Maximum-Efficiency-Operation Techniques." In Wireless Power Transfer, 77–98. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2441-7_7.

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Weik, Martin H. "optical receiver maximum input power." In Computer Science and Communications Dictionary, 1184. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13129.

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Sroufe, Robert P., Craig E. Stevenson, and Beth A. Eckenrode. "Operating Buildings for Maximum Benefit." In The Power of Existing Buildings, 123–51. Washington, DC: Island Press/Center for Resource Economics, 2019. http://dx.doi.org/10.5822/978-1-64283-051-4_8.

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Orekan, Taofeek, and Peng Zhang. "Maximum Power Efficiency Tracking for UWPT." In Underwater Wireless Power Transfer, 51–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02562-5_4.

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Conference papers on the topic "Maximum power"

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Ganesan, Karthik, and Lizy K. John. "MAximum Multicore POwer (MAMPO)." In 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2063384.2063455.

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Abdallah, M. N., T. K. Sarkar, and M. Salazar-Palma. "Maximum power transfer versus efficiency." In 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2016. http://dx.doi.org/10.1109/aps.2016.7695800.

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Krishanan, Priya R., Sajan Joseph, K. K. Anil Kumar, and Avinash Kumar. "Generalized maximum power point tracker." In 2013 Annual International Conference on Emerging Research Areas (AICERA) - 2013 International Conference on Microelectronics, Communications and Renewable Energy (ICMiCR). IEEE, 2013. http://dx.doi.org/10.1109/aicera-icmicr.2013.6575941.

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Erceg, Tea, Ivan Marasović, Tihomir Betti, and Ivan Škalic. "Maximum Power Point Tracking Algorithms." In 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2023. http://dx.doi.org/10.23919/splitech58164.2023.10193148.

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Al-Subhi, A., and I. El-Amin. "Maximum power point tracking of photovoltaic systems by accurate prediction of maximum power voltage." In Smart Cities Symposium 2018. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1373.

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Siri, Kasemsan, Frank Chen, and Majd Batarseh. "Unified maximum power tracking among distributed power sources." In 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014. IEEE, 2014. http://dx.doi.org/10.1109/apec.2014.6803729.

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Xiaodong Zhang, Wenlong Li, and Jiangui Li. "Thermoelectric power generation with maximum power point tracking." In 8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1787.

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Siri, Kasemsan. "Group maximum power tracking for distributed power sources." In 2013 IEEE Aerospace Conference. IEEE, 2013. http://dx.doi.org/10.1109/aero.2013.6497400.

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Siri, Kasemsan. "System Maximum Power Tracking among distributed power sources." In 2014 IEEE Aerospace Conference. IEEE, 2014. http://dx.doi.org/10.1109/aero.2014.6836200.

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Siri, Kasemsan. "Group Maximum Power Tracking among Distributed Power Sources." In 11th International Energy Conversion Engineering Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-3819.

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Reports on the topic "Maximum power"

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Clendenin, J. LCLS Maximum Credible Beam Power. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/839646.

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Clendenin, J. Maximum Beam Power and Nominal Beam Losses at S-20. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/839690.

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Bonn, R., J. Ginn, and J. Zirzow. Test report on the Abacus 30 kW bimode{reg_sign} inverter and maximum power tracker (MPT). Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/95191.

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Rao, D. V., J. L. Darby, S. B. Ross, and R. A. Clark. Determination of maximum reactor power level consistent with the requirement that flow reversal occurs without fuel damage. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/106410.

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Olsen. L52135 Humidity Control for Power and Emissions. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2003. http://dx.doi.org/10.55274/r0011125.

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NOX emissions regulations below 1.0 g/bhp-hr are being implemented in some parts of the country (e.g. Houston). Increasing engine efficiency is one way to increase gas transport. However, a dilemma that often occurs is techniques that reduce NOX emissions often simultaneously decrease engine efficiency. An alternative approach to increasing gas transport is to increase the power output, or brake mean effective pressure (BMEP), of the large bore natural gas engines presently in service. The onset of knock typically limits the maximum power output of spark ignition engines; water injection can eliminate knock and enable a power increase. In this work, the feasibility of in-cylinder water injection is demonstrated as a technique for reducing emissions and increasing BMEP. A water injection system was developed for the Cooper-Bessemer GMV-4TF engine. Two locations for water injection were evaluated, near the spark plug and opposite the spark plug in the end gas. Testing was conducted for both NOx reduction and increasing power.

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Kozioziemski, B. J. Re-Assessing the Maximum Allowed Infrared (IR) Power for Enchanced Layering in a Conduction Dominated Cryogenic NIF-Scale Hohlraum. Office of Scientific and Technical Information (OSTI), August 2003. http://dx.doi.org/10.2172/15005143.

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Ceylan, Ismail Ilkan, Stefan Borgwardt, and Thomas Lukasiewicz. Most Probable Explanations for Probabilistic Database Queries. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2023.220.

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Forming the foundations of large-scale knowledge bases, probabilistic databases have been widely studied in the literature. In particular, probabilistic query evaluation has been investigated intensively as a central inference mechanism. However, despite its power, query evaluation alone cannot extract all the relevant information encompassed in large-scale knowledge bases. To exploit this potential, we study two inference tasks; namely finding the most probable database and the most probable hypothesis for a given query. As natural counterparts of most probable explanations (MPE) and maximum a posteriori hypotheses (MAP) in probabilistic graphical models, they can be used in a variety of applications that involve prediction or diagnosis tasks. We investigate these problems relative to a variety of query languages, ranging from conjunctive queries to ontology-mediated queries, and provide a detailed complexity analysis.

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Tow Leong, Tiang, Mohd Saufi Ahmad, Ang Qian Yee, Syahrun Nizam Md Arshad@Hashim, Mohd Faizal Mohd Zahir, Mohd Azlizan Moh Adib, Nazril Husny, Tan Kheng Kwang, and Dahaman Ishak. HANDBOOK OF ELECTRICAL SYSTEM DESIGN FOR NON-DOMESTIC BUILDING. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.001.

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This technical report presents the electrical system installation design for development of a factory with 1 storey and 2 storey of offices. Firstly, the general methodology of designing the electrical system are elaborated in this report. As overall, the methodologies in designing the components of the electrical system are explained and elaborated, which included: (a) load and maximum demand estimation; (b) miniature circuit breaker (MCB) selection; (c) moulded case circuit breaker (MCCB) selection; (d) air circuit breaker (ACB) selection, (e) residual current device (RCD) selection; (f) protection relay selection; (g) current transformer (CT) selection; (h) sizing selection for cable and live conductors; (i) capacitor bank selection for power factor correction (PFC); and (j) distribution transformer and its protection devices selection. Then, the electrical system of this project is computed and designed by using the methodologies aforementioned. Firstly, the electrical system of various distribution boards (DBs) with the protection/metering devices along with its phase and earthing cables for every final circuits are designed and installed in the factory. Next, the installation is proceeded with the electrical system of main switchboard (MSB) with the protection/metering devices along with its phase and earthing cables for every DBs. Also, the electrical system of PFC by using detuned capacitor bank with various protection/metering devices is designed and built in the plant. Apart from that, the factory is equipped with the electrical system of high tension (HT) room that included the distribution power transformer with the protection/metering devices along with its phase and earthing cables. Lastly, the methodologies and the computation design of the electrical system installation in the context of connected load, load currents, maximum demand, MCB, MCCB, ACB, RCD, protection relay, metering CTs, live cable, protection conductor/earth cable, detuned capacitor bank, and distribution transformer, are prepared according to several important standards, for instance, the MS IEC 60364, Electrical Installations for Buildings, Suruhanjaya Tenaga (ST) – Non-Domestic Electrical Installation Safety Code, Electricity Supply Application Handbook, Tenaga Nasional Berhad (TNB).

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Allen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.

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A framework for optimizing rotor blade airfoil shape is presented. The framework uses two digital workflows created within the Galaxy Simulation Builder (GSB) software package. The first is a workflow enabling the automated creation of a surrogate model for predicting airfoil performance coefficients. An accurate surrogate model for the rapid generation of airfoil coefficient tables has been developed using linear interpolation techniques that is based on C81Gen and ARC2D CFD codes. The second workflow defines the rotor blade optimization problem using GSB and the Dakota numerical optimization library. The presented example uses a quasi-Newton optimization algorithm to optimize the tip region of the UH-60A main rotor blade with respect to vehicle performance. This is accomplished by morphing the blade tip airfoil shape for optimum power, subject to a constraint on the maximum pitch link load.

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Steinbock, Thilo, and Klemens Kerssen. Evaluation on the capabilities of MATLAB Simulink’s Embedded Coder for rapid prototyping of micro-controller based control systems for switching converters. Universitatsbibliothek Kiel, March 2025. https://doi.org/10.38071/2025-00178-9.

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Switching converters play a crucial role in modern power electronics, offering efficient voltage conversion in various electronic devices. This paper presents an approach to the rapid prototyping for micro-controller based control systems, applied to the buck-converter topology. The methodology utilized features from MATLAB Simulink and it’s Embedded Coder extension to model and implement the control system, enabling a simplified transition from simulation to hardware implementation. For this purpose the paper evaluates two control systems, namely the error-amplifier and the PID controller. Comparative analysis reveals insights on the startup behavior, RMS voltage, peak-to-peak voltage and maximum voltage. While the simulation outperformed the measurements of the hardware implementation in most parts, this paper still underscores the utility of MATLAB Simulink’s Embedded Coder for rapid prototyping and hardware-in-the-loop development of switching converter control systems.

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