Dissertations / Theses on the topic 'Electrical energy usage'
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Kournetas, Nicholas George. "The use of oxygen to decrease electrical energy usage in the electric arc furnace." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/MQ34148.pdf.
Full textChanda, Soumendu. "Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855.
Full textJohansson, Kevin, and Christoffer Eklund. "A comparison of energy usage between LoRa 433Mhz and LoRa 868MHz." Thesis, Jönköping University, JTH, Avdelningen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54161.
Full textChenailler, Hervé. "L'efficacité d'usage énergétique : pour une meilleure gestion de l'énergie électrique intégrant l'usager dans les bâtiments." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00771667.
Full textКатюха, Ігор Анатолійович. "Прогнозні моделі електричних навантажень розподільчих мереж в умовах невизначеності вихідної інформації." Thesis, Таврійський державний агротехнологічний університет, 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/31033.
Full textThe thesis for getting scientific degree of the Candidate of technical science on the specialty 05.14.02 «Electric power stations, network and system» (141 Electrical energetics, electrical engineering and electromechanics). – Tavricheskiy State Agrotechnology University, Melitopol, Ukraine National Technical University «Kharkiv Polytechnic Institute» MES of Ukraine, Kharkiv, 2017. The dissertation devoted to solving actual scientific and technical problem of development of modern science and analytical tools forecast electricity consumption in the face of uncertainty, taking into account the possibility of information support automated systems of commercial accounting of electric power and features of individual consumers and aims to increase efficiency and save electricity. Improved method of fuzzy regression analysis to build long–term forecasting models of electric loads in distribution networks. Included balanced participation of two performance criteria fuzzy models: the degree of combination and degree of fuzziness when building predictive models. The method of correction term predictive models for short–term forecast. An approach to building the type of predictive models in any type of stress. Analytical contacted fuzzy indicators forecast accuracy Mean absolute percentage error. The technique was tested in the development of predictive models of electric load number of consumers with different types of load charts. The main results of the dissertation found practical application in the form of hardware and software to automate the process of long–term and operational forecasting electricity consumers of electrical loads that can integrate information into an automated accounting system of electricity, as well as operational management mode of distribution networks. VII As a result of the research on the theme of the thesis, the following scientific results were obtained: - the method for obtaining predictive models of electrical loads is improved, which is distinguished by constructing a fuzzy regression compatibility criterion based on the intersection of fuzzy numbers, which makes it possible to uncover the uncertainty of the output data and improve the quality of the prediction of electrical loads. - for the first time the method of unification of the type of forecasting models is proposed, which differs in the fact that in the daily schedule of electricity consumption allocated functional areas, with the separate use for them of fuzzy regression analysis, which allows you to get the kind of forecast models at all loads. - for the first time the method of increasing the adequacy of models obtained on the basis of fuzzy regression analysis, which differs from the parity considering the degree of compatibility and the degree of fuzzy description, which will make prediction of electrical loads more qualitative. - for the first time an analytical method for determining the efficiency of the forecast of electricity consumption in electric networks is determined, which allows to perform a comparative analysis of fuzzy regression models of the forecast with models obtained by other methods. The practical significance of the obtained results of work for the electric power industrylies in the developed method of forecasting electricity consumption based on fuzzy regression analysis, which includes the principles of constructing predictive models, algorithmic support, as well as software implemented in a convenient for integration in AMSCA form. The research results are implemented and confirmed by the relevant acts: - PE "Molokozavod-OLKOM" for the analysis of electricity consumption and operational control in order to reduce energy losses in the network of intra-electric power supply. VIII - in the educational process, the main results of the work are included in the relevant disciplines - "Practical engineering training" and "Engineering activities" in the specialty: 8.10010101 - Power engineering of agricultural production. - Azov REM OJSC "Zaporizhiaoblenergo" used a hardware and software complex for the process of long-term and short-term prediction of electrical loads and operational control of the modes of distribution networks. The basic scientific positions on the materials of the dissertation work are published in 15 printed works, including 9 articles in the scientific professional editions of Ukraine (5 in the publications included in the international science-computer bases, 1 ¬ in the edition with the index SCORUS), 6 in the materials of the conferences and workshops. Thesis consists of introduction, abstract, four sections, conclusions, list of used sources and applications. The total volume of the dissertation is 190 pages, among them: 18 figures in the text, 20 tables in the text, the list of used sources contains 115 titles in 12 pages, applications in 19 pages.
Катюха, Ігор Анатолійович. "Прогнозні моделі електричних навантажень розподільчих мереж в умовах невизначеності вихідної інформації." Thesis, НТУ "ХПІ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/31032.
Full textDissertation for scientific degree of candidate of technical sciences, specialty 05.14.02 – electric power stations, networks and systems. – Tavricheskiy State Agrotechnology University, Melitopol, 2017. The dissertation devoted to solving actual scientific and technical problem of development of modern science and analytical tools forecast electricity consumption in the face of uncertainty, taking into account the possibility of information support automated systems of commercial accounting of electric power and features of individual consumers and aims to increase efficiency and save electricity. Improved method of fuzzy regression analysis to build long–term forecasting models of electric loads in distribution networks. Included balanced participation of two performance criteria fuzzy models: the degree of combination and degree of fuzziness when building predictive models. The method of correction term predictive models for short–term forecast. An approach to building the type of predictive models in any type of stress. Analytical contacted fuzzy indicators forecast accuracy Mean absolute percentage error. The technique was tested in the development of predictive models of electric load number of consumers with different types of load charts. The main results of the dissertation found practical application in the form of hardware and software to automate the process of long–term and operational forecasting electricity consumers of electrical loads that can integrate information into an automated accounting system of electricity, as well as operational management mode of distribution networks.
Guo, Feng. "Integrating Retired Electric Vehicle Batteries with Photovoltaics in Microgrids." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408969201.
Full textLu, Bin. "Energy Usage Evaluation and Condition Monitoring for Electric Machines using Wireless Sensor Networks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14152.
Full textYakkali, Sai Santosh. "Decomposing Residential Monthly Electric Utility Bill Into HVAC Energy Use Using Machine Learning." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin155437406441298.
Full textDa, Silva David. "Analyse de la flexibilité des usages électriques résidentiels : application aux usages thermiques." Phd thesis, École Nationale Supérieure des Mines de Paris, 2011. http://pastel.archives-ouvertes.fr/pastel-00678316.
Full textBadey, Quentin. "Étude des mécanismes et modélisation du vieillissement des batteries lithium-ion dans le cadre d’un usage automobile." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112052/document.
Full textThis scientific piece of work aims at modeling the aging of lithium-ion batteries, depending on the vehicle stress (electric or hybrid type). More specifically, this study intends to optimise the design of battery packs for vehicle and power management strategies. A original mechanical fatigue approach has been selected as potentially able to model complex and varied demands. This approach was developed for a specific graphite / NCA lithium-ion battery. It appears that a simple damage accumulation is not entirely relevant, and that two contributions to aging are ongoing: one based on charge throughput and the other based on time. Multiple aging tests were performed and have shown the important influence of temperature, current power and state of charge for each contribution. They led to the establishment of equations linking each of these parameters to battery degradation rate. Thanks to these equations, a computer model for aging prevision has been built, able to take into account both cycling and calendar ageing. The model gives, for slightly to moderately complex solicitations, a very small predicting error. Postmortem analyses were also performed on the batteries to understand the mechanisms involved. Several analytical techniques (physicochemical and electrochemical, impedance spectroscopy) make possible to connect the main mechanisms of ageing to the contributions: an alteration of the crystalline structure of the positive electrode active material for the fatigue contribution, passivation of the negative electrode active material for the time contribution. These analyses provide a more complete view of aging and justify the hypothesis made during the implementation of the model. These electrochemical results allow us to consider a generalisation to other lithium-ion battery technologies. Indeed, an attempt to generalise the model to another commercial battery has made possible to check the reliability and to detect limits of this approach
Loukakou, Bounzeki Mbemba Destiny Conscience Eland. "Modélisation, conception et expérimentation d'un véhicule hybride léger pour usages urbains." Phd thesis, Université de Franche-Comté, 2012. http://tel.archives-ouvertes.fr/tel-00947630.
Full textFogdal, Hanna, and Adrian Baars. "Utilization of Forest Residue through Combined Heat and Power or Biorefinery for Applications in the Swedish Transportation Sector : a comparison in efficiency, emissions, economics and end usage." Thesis, KTH, Kraft- och värmeteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215767.
Full textSverige har som mål att skapa en fossiloberoende fordonsflotta till år 2030. Två vägar som pekats ut för att nå målet är att öka användningen av eldrivna fordon eller att producera mer biobränsle. Båda alternativen kan drivas av skogsavfall, en råvara som det finns gott om i Sverige. Elektricitet kan produceras av skogsavfallet i ett kraftvärmeverk, och biobränsle i ett bioraffinaderi genom användning av förgasning och Fischer-Tropschmetoden. I Stockholms län skulle båda systemen dessutom kunna producera värme till Stockholms fjärrvärmesystem. Det är dock viktigt att använda skogsavfallet på ett resurseffektivt sätt. Därför undersöker detta arbete effektiviteten av de två olika systemen tillsammans med en analys av växthusgasutsläpp och ekonomiska förutsättningar. För att kunna utvärdera effektiviteten och klimatpåverkan av de två olika systemen utfördes en ”skog-till-hjul”-analys där produkten undersöktes från ursprunget, till drivandet av ett fordon. För att utföra studien definierades fyra funktionella enheter. De funktionella enheterna var: körsträcka med bil mätt i kilometer, kWh fjärrvärmeproduktion, CO2 ekvivalenter av växthusgasutsläpp och MWh skogsavfall. Studien visade att systemet där skogsavfallet används i ett kraftvärmeverk för att producera elektricitet och ladda elbilar hade bättre resultat i de två första funktionella enheterna. Systemet producerade nästan dubbelt så lång körsträcka och mer än dubbelt så mycket fjärrvärme som systemet där skogsavfallet används i ett bioraffinaderi och biobränslet används i dieselbilar. Studien visade även att båda system kan bidra till att sänka växthusgasutsläppen från transportsektorn. Lönsamheten att investera i ett kraftvärmeverk eller bioraffinaderi beräknades med nuvärdesmetoden. Studien visade att de förväntade framtida energipriserna är för låga för att investeringarna ska bli lönsamma. Kraftvärmeanläggningen hade ett nuvärde på -1.6 miljarder kronor, och bioraffinaderiet ett nuvärde på -4.6 miljarder kronor. Dessutom ansågs investeringen i ett bioraffinaderi vara en hög risk på grund av den höga investeringskostnaden och att tekniken idag inte är kommersialiserad. Det finns även en rad andra barriär för att genomföra de två olika systemen, dessa barriärer har studerats kvalitativt i arbetet.
Grosjean, Camile. "Usages de batteries lithium-ion comme fonction de stockage de l'électricité à la convergence des besoins énergétiques de l'habitat solaire et du transport électrique." Phd thesis, Université Pascal Paoli, 2012. http://tel.archives-ouvertes.fr/tel-00802060.
Full textWalker, Myles Larcome. "Test bed system for investigating the energy usage of variable speed drive systems." Thesis, 2001. http://hdl.handle.net/10413/5278.
Full textThesis (M.Sc.)-University of Natal, Durban, 2001.
Amorim, Kevin Carvalho de. "Intelligent and Autonomous Usage of the Energy Generation Systems in Vehicles." Master's thesis, 2019. https://hdl.handle.net/10216/122474.
Full text(10063480), Monil Vallabhbh Chheta. "DESIGN AND IMPLEMENTATION OF ENERGY USAGE MONITORING AND CONTROL SYSTEMS USING MODULAR IIOT FRAMEWORK." Thesis, 2021.
Find full textThis project aims to develop a cloud-based platform that integrates sensors with business intelligence for real-time energy management at the plant level. It provides facility managers, an energy management platform that allows them to monitor equipment and plant-level energy consumption remotely, receive a warning, identify energy loss due to malfunction, present options with quantifiable effects for decision-making, and take actions, and assess the outcomes. The objectives consist of:
Developing a generic platform for the monitoring energy consumption of industrial equipment using sensors
Control the connected equipment using an actuator
Integrating hardware, cloud, and application algorithms into the platform
Validating the system using an Energy Consumption Forecast scenario
A Demo station was created for testing the system. The demo station consists of equipment such as air compressor, motor and light bulb. The current usage of these equipment is measured using current sensors. Apart from current sensors, temperature sensor, pres- sure sensor and CO2 sensor were also used. Current consumption of these equipment was measured over a couple of days. The control system was tested randomly by turning on equipment at random times. Turning on the equipment resulted in current consumption which ensured that the system is running. Thus, the system worked as expected and user could monitor and control the connected equipment remotely.
Bahrami, Asl Babak. "Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence." Thesis, 2018. http://hdl.handle.net/1805/17932.
Full textThe compressed air system is widely used throughout the industry. Air compressors are one of the most costly systems to operate in industrial plants in terms of energy consumption. Therefore, it becomes one of the primary targets when it comes to electrical energy and load management practices. Load forecasting is the first step in developing energy management systems both on the supply and user side. A comprehensive literature review has been conducted, and there was a need to study if predicting compressed air system’s load is a possibility. System’s load profile will be valuable to the industry practitioners as well as related software providers in developing better practice and tools for load management and look-ahead scheduling programs. Feed forward neural networks (FFNN) and long short-term memory (LSTM) techniques have been used to perform 15 minutes ahead prediction. Three cases of different sizes and control methods have been studied. The results proved the possibility of the forecast. In this study two control methods have been developed by using the prediction. The first control method is designed for variable speed driven air compressors. The goal was to decrease the maximum electrical load for the air compressor by using the system's full operational capabilities and the air receiver tank. This goal has been achieved by optimizing the system operation and developing a practical control method. The results can be used to decrease the maximum electrical load consumed by the system as well as assuring the sufficient air for the users during the peak compressed air demand by users. This method can also prevent backup or secondary systems from running during the peak compressed air demand which can result in more energy and demand savings. Load management plays a pivotal role and developing maximum load reduction methods by users can result in more sustainability as well as the cost reduction for developing sustainable energy production sources. The last part of this research is concentrated on reducing the energy consumed by load/unload controlled air compressors. Two novel control methods have been introduced. One method uses the prediction as input, and the other one doesn't require prediction. Both of them resulted in energy consumption reduction by increasing the off period with the same compressed air output or in other words without sacrificing the required compressed air needed for production.
2019-12-05
Meehan, Colin Markey. "Estimating emissions impacts to the bulk power system of increased electric vehicle and renewable energy usage." Thesis, 2013. http://hdl.handle.net/2152/23624.
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(5931020), Babak Bahrami Asl. "FUTURISTIC AIR COMPRESSOR SYSTEM DESIGN AND OPERATION BY USING ARTIFICIAL INTELLIGENCE." Thesis, 2020.
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