Relevant bibliographies by topics / Electric power consumption

Academic literature on the topic 'Electric power consumption'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Electric power consumption"

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Milivoj Mandić, Ivo Uglešić, and Viktor Milardić. "ELECTRIC RAILWAY POWER CONSUMPTION." Journal of Energy - Energija 58, no. 4 (September 16, 2022): 384–407. http://dx.doi.org/10.37798/2009584306.

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The electric railways is a specific consumer of the electric power system. For the purpose of using electric energy rationally and making adequate savings, efforts are made to optimize electric energy consumption of electric trains and other electric railway facilities. The work shows the train movement simulation algorithm which serves to determine primarily the mechanical and then also the electric power required for traction. The sections of the electrified tracks are supplied from the electric traction substation (TS) and, for the requirements of the electric traction calculation, an electric network is formed. Based on the maximum time table for a certain time period, calculation is done of the electric circumstances; electricity, voltage, electric power, as well as the total consumed electric energy. For the determination of the electric energy supply of the traction unit, movement resistances of the certain train on each section need to be calculated. Input data necessary for such a calculation are the tracks profile parameters, planned movement speeds on certain sections, and the properties of the train and the locomotive. Besides the train movement simulation model, the article also shows the analysis of impact factors on the electric energy consumption for the electromotor train which travels the Croatian suburban rails. The results are obtained by the train movement simulation algorithm, by virtue of which the locations of trains are calculated, as well as their mechanical and electric powers necessary for traction. The particular example of the supply of the existing SS serves for comparing the results obtained by electric traction calculation and measurement. Some of the results are given of the electric traction simulation for the Zaprešić SS at the supply of the suburban Podsused factory − Samobor − Bregana which is planned for construction.
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Han, Oakyoung, and Jaehyoun Kim. "Uncertainty Analysis on Electric Power Consumption." Computers, Materials & Continua 68, no. 2 (2021): 2621–32. http://dx.doi.org/10.32604/cmc.2021.014665.

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Sablin, O. I. "THE ADDITIONAL PULSATION POWER LOSS IN POWER CHAINS OF XPS DC." Science and Transport Progress, no. 18 (October 25, 2007): 38–40. http://dx.doi.org/10.15802/stp2007/17437.

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Results of researches are stated in article specifying on consumption of inactive jet capacity by the electric rolling stock of a direct current. It is shown, that this consumption brings to additional loss of electric power.
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Naumov, I. V., D. N. Karamov, A. N. Tretyakov, M. A. Yakupova, and E. S. Fedorinova. "Asymmetric power consumption in rural electric networks." IOP Conference Series: Earth and Environmental Science 677, no. 3 (March 1, 2021): 032088. http://dx.doi.org/10.1088/1755-1315/677/3/032088.

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Beliaeva, Nataliia, Anton Petrochenkov, and Korinna Bade. "Data Set Analysis of Electric Power Consumption." European Researcher 61, no. 10-2 (September 15, 2013): 2482–87. http://dx.doi.org/10.13187/er.2013.61.2482.

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N’Zué, Felix Fofana. "Is There a Relationship between CO2 Emissions by Sources, Electricity Consumption and Economic Growth in Côte d’Ivoire? Evidence from an ARDL Investigation." International Journal of Economics and Finance 14, no. 7 (June 25, 2022): 28. http://dx.doi.org/10.5539/ijef.v14n7p28.

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This paper investigates the impact of different sources of CO2 emissions together with electric power consumption on per capita GDP in Côte d’Ivoire with data ranging from 1970 to 2019. We found cointegration relationships between per capita GDP and the variables of interest. CO2 emissions, CO2 emissions from liquid fuel consumption, electric power consumption and investment have positive impact on per capita GDP. A simultaneous increase of electric power consumption and CO2 emissions in the long run has a negative impact on per capita GDP. Causality runs from CO2 emissions, electric power consumption and investment to per capita GDP. In the short run, electric power consumption positively impacts per capita GDP. Labor force has a negative impact on per capita GDP. Causality runs from electric power consumption to per capita GDP. Similar results are obtained when CO2 emissions from liquid fuel consumption are used in place of global CO2 emissions.
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Karpenko, Sergey, and Nadezhda Karpenko. "Analysis and modeling of regional electric power consumption subject to influence of external factors." Energy Safety and Energy Economy 3 (June 2021): 12–17. http://dx.doi.org/10.18635/2071-2219-2021-3-12-17.

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Electric power consumption along with a large variety of factors affecting it can be forecasted and modelled by using econometric forecasting methods, including time series and correlation and regression analysis. For the purpose of this research, electric power consumption in the Moscow Region, Russia, was modelled with consideration of economic and climate factors based on 2019–2020 power usage data. A multiplicative model for regional electric power consumption and correlations between electric power consumption and an air temperature as well as a total number of cloudy days a month were built. The results will be helpful for analyzing and forecasting of processes involved in power consumption.
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Macheso, Paul Stone, and Doreen Thotho. "ESP32 Based Electric Energy Consumption Meter." International Journal of Computer Communication and Informatics 4, no. 1 (May 9, 2022): 23–35. http://dx.doi.org/10.34256/ijcci2213.

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In recent years, the Smart Energy Meter has attracted a lot of attention from all over the world. In this paper a design and prototyping a low-cost IoT energy monitoring is presented, which may be utilized in a variety of applications such as power billing, smart grid energy management, and home automation. The system is based on a low-cost ESP32 microcontroller that is interfaced non-invasive Current Transformer (CT) sensors, and voltage sensor to get data from sensor nodes and deliver it to a Blynk server over the internet. The studies' findings showed that the system for monitoring energy consumption can precisely record voltage, current, active power, and cumulative power consumption.
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Hasan, Maha Yousif, and Dheyaa Jasim Kadhim. "A new smart approach of an efficient energy consumption management by using a machine-learning technique." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (January 1, 2022): 68. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp68-78.

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Many consumers of electric power have excesses in their electric power consumptions that exceed the permissible limit by the electrical power distribution stations, and then we proposed a validation approach that works intelligently by applying machine learning (ML) technology to teach electrical consumers how to properly consume without wasting energy expended. The validation approach is one of a large combination of intelligent processes related to energy consumption which is called the efficient energy consumption management (EECM) approaches, and it connected with the internet of things (IoT) technology to be linked to Google Firebase Cloud where a utility center used to check whether the consumption of the efficient energy is satisfied. It divides the measured data for actual power (A_p ) of the electrical model into two portions: the training portion is selected for different maximum actual powers, and the validation portion is determined based on the minimum output power consumption and then used for comparison with the actual required input power. Simulation results show the energy expenditure problem can be solved with good accuracy in energy consumption by reducing the maximum rate (A_p ) in a given time (24) hours for a single house, as well as electricity’s bill cost, is reduced.
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Park, EungSuk, BoRam Kim, SooHyun Park, and Daecheol Kim. "Analysis of the Effects of the Home Energy Management System from an Open Innovation Perspective." Journal of Open Innovation: Technology, Market, and Complexity 4, no. 3 (August 3, 2018): 31. http://dx.doi.org/10.3390/joitmc4030031.

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The Home Energy Management System (HEMS) is a system for the efficient electric power consumption of each household. It can provide real-time electricity cost information according to electricity consumption, and households can immediately control their consumption of electricity. In this study, we analyzed the effects of the HEMS on the stability of demand for electric power. To do this, we analyzed the causal relationship between the amounts of electric power generation and consumption, from the system dynamics perspective. From the analysis, we found that in the current structure, the fluctuation of the quantity of demand became large due to the time delay in households recognizing the electric bill and adjusting their electric power consumption. However, when the HEMS was introduced, it could be seen that electric power demand remained stable since consumers could see their electricity bill in real-time and could manage their electricity consumption by themselves.
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Dissertations / Theses on the topic "Electric power consumption"

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Mangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.

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An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The model has seven parameters, each with a natural interpretation (one parameter representing minimum demand in a day, two parameters representing the time of morning and afternoon peaks, two parameters representing the shape of each peak, and two parameters representing the total energy per peak). With the help of this model, we trace change in the demand profile over a number of years. The proposed model will be helpful for short to long term electricity demand forecasting.
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Modlin, Danny Robert. "Utilizing time series analysis to forecast long-term electrical consumption /." Electronic version (PDF), 2006. http://dl.uncw.edu/etd/2006/modlind/dannymodlin.pdf.

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Huss, William Reed. "Load forecasting for electric utilities /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487263399023837.

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Lai, Chiu-cheong. "Electricity use and its conservation potential in the commercial sector : a case study in Hong Kong /." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13498423.

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Si, Yau-li. "Forecasts of electricity demand and their implication for energy developments in Hong Kong." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13009102.

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Chawdhry, P. K. "Identification of boiler-turbine systems in electric power stations." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372987.

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Chiu, Yuk Ha. "A cross-country empirical study on electricity demand /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ECON%202004%20CHIU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 33-35). Also available in electronic version. Access restricted to campus users.
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Gopalakrishnan, Chandra. "Effectiveness of electrical demand reduction strategies." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3776.

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Thesis (M.S.)--West Virginia University, 2004.
Title from document title page. Document formatted into pages; contains viii, 75 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 74-75).
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Doorduin, Riaan. "Electricity theft detection on a low voltage reticulation environment." Thesis, Stellenbosch : University of Stellenbosch, 2004. http://hdl.handle.net/10019.1/16310.

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Thesis (MScIng)--University of Stellenbosch, 2004.
ENGLISH ABSTRACT: Electricity theft in South Africa has become a major problem. This led to several developments from both industries and research institutes to counter these actions. Since equipment is already installed and major capital has been invested to provide electricity for a broad spectrum of consumers, the challenge is to find a low cost solution harnessing current investments and technology to detect electricity theft more accurately. This thesis investigates into the electricity theft topic. Two different methods, Time Domain Pulse Reflectometry and a data driven platform based on the Theory of Constraints philosophy, were investigated to provide means to detect and determine the impact of illegal electricity usage. Both methods required detailed designs to conduct preliminary proof of concept tests in a laboratory environment. These methods are evaluated against their economical viability, possible practical implications and applications. This thesis presents a practical approach to electricity theft detection and provides the basic tools for management of this ever-increasing problem.
AFRIKAANSE OPSOMMING: Suid Afrika se elektrisiteit diefstal statistiek het die afgelope jare skrikwekkend gegroei. Dit het die industrie genoop om baie meer navorsing in die area te doen. Met reeds gevestigde toerusting en tegnologie om di´e energie medium so effektief moontlik te versprei, is die uitdaging juis om ’n ekonomiese oplossing te vind om reeds beskikbare tegnologie¨e meer doeltreffend aan te wend. Die doel van die tesis is om die gebied van elektrisiteit diefstal na te vors. Twee verskillende metodes is ondersoek, naamlik Tydgebied-pulse-reflektometrie en ’n informasie gebaseerde stelsel wat op die Randvoorwaarde Teorie gebaseer is, om effektief die omvang van elektrisiteit diefstal in ’n mikro, asook makro omgewing te bepaal. Die twee metodes is in ’n beheerde omgewing getoets sodat die konsepte wat ontwikkel is bewys kon word. Die metodes is ge-evalueer in terme van die ekonomiese lewensvatbaarheid daarvan met inagneming van die praktiese implikasies. Die tesis bied bestuur die nodige kennis om elektrisiteit diefstal in die praktyk doeltreffend die hok mee te slaan.
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Sarris, Emmanouil. "Naval ship propulsion and electric power systems selection for optimal fuel consumption." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68573.

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Thesis (Nav. E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. [100]-102).
Although propulsion and electric power systems selection is an important part of naval ship design, respective decisions often have to be made without detailed ship knowledge (resistance, propulsors, etc.). Propulsion and electric power systems have always had to satisfy speed and ship-service power requirements. Nowadays, increasing fuel costs are moving such decisions towards more fuel-efficient solutions. Unlike commercial ships, naval ships operate in a variety of speeds and electric loads, making fuel consumption optimization challenging. This thesis develops a flexible decision support tool in Matlab® environment, which identifies the propulsion and ship-service power generation systems configuration that minimizes fuel consumption for any ship based on its operating profile. Mechanical-driven propulsion systems with or without propulsion derived ship-service power generation, separate ship-service systems and integrated power systems are analyzed. Modeling includes hull resistance using the Holtrop-Mennen method requiring only basic hull geometry information, propeller efficiencies using the Wageningen B series and transmission and prime movers fuel efficiencies. Propulsion and ship-service power generation systems configuration is optimized using the genetic algorithm. US Navy's Advanced Surface Ship Evaluation Tool (ASSET) model for the DDG-51 Flight I destroyer was used for modeling validation. Optimal fuel consumption results are compared against the existing configuration for the DDG-51 Flight I destroyer using a representative operating profile.
by Emmanouil Sarris.
S.M.in Engineering and Management
Nav.E.
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Books on the topic "Electric power consumption"

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Arthur Andersen & Co., Andersen Consulting, and Cambridge Energy Research Associates, eds. European electric power trends. Cambridge, Mass., USA: Cambridge Energy Research Associates, 1991.

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National Association of Regulatory Utility Commissioners., ed. Electric power technology. Washington, D.C: National Association of Regulatory Utility Commissioners, 1990.

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Estomin, Steven. Forecasted electric power demands for the Potomac Electric Power Company. [Annapolis, Md.]: The Program, 1988.

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Munasinghe, Mohan. Electric power economics: Selected works. London: Butterworths, 1990.

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Group, Energy Research, ed. Electric power for industrialisation in developing countries. Place of publication not identified]: [publisher not identified], 1985.

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Stump, Lisa, Parveen Baig, and Leslie Cleveland. Facts concerning the consumption and production of electric power in Iowa. Edited by Iowa Utilities Board. Des Moines, Iowa: Iowa Utilities Board, Dept. of Commerce, 2000.

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Alagh, Yoginder K. Power economics in Gujarat. New Delhi: Har-Anand Publications, 1998.

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United States. Bonneville Power Administration., ed. Puget Sound area electric reliability plan. Portland, Or: The Administration, 1991.

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Willis, H. Lee. Spatial electric load forecasting. 2nd ed. New York: Marcel Dekker, 2002.

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ʻAbduh, Saʻīd Aḥmad. Jughrāfīyat al-ṭāqah al-kahrabāʼīyah fī al-minṭaqah al-janūbīyah bi-al-Mamlakah al-ʻArabīyah al-Saʻūdīyah. [Cairo: s.n.], 1985.

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Book chapters on the topic "Electric power consumption"

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Stütz, Sebastian, Andreas Gade, and Daniela Kirsch. "Promoting Zero-Emission Urban Logistics: Efficient Use of Electric Trucks Through Intelligent Range Estimation." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 91–102. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_8.

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AbstractCritical success factors for the efficient use of electric trucks are the operational range and the total costs of ownership. For both range and efficient use, power consumption is the key factor. Increasing precision in forecasting power consumption and, hence, maximum range will pave the way for efficient vehicle deployment. However, not only electric trucks are scarce, but also is knowledge with respect to what these vehicles are actually technically capable of. Therefore, this article focuses on power consumption and range of electric vehicles. Following a discussion on how current research handles the mileage of electric vehicles, the article illustrates how to find simple yet robust and precise models to predict power consumption and range by using basic parameters from transport planning only. In the paper, we argue that the precision of range and consumption estimates can be substantially improved compared to common approaches which usually posit a proportional relationship between energy consumption and travel distance and require substantial safety buffers.
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Seliverstova, Anastasiya V., Darya A. Pavlova, Slavik A. Tonoyan, and Yuriy E. Gapanyuk. "The Time Series Forecasting of the Company’s Electric Power Consumption." In Advances in Neural Computation, Machine Learning, and Cognitive Research II, 210–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01328-8_24.

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Panchal, R., and B. Kumar. "Forecasting industrial electric power consumption using regression based predictive model." In Recent Trends in Communication and Electronics, 135–39. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003193838-26.

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Kovan, Ibrahim, and Stefan Twieg. "Forecasting the Energy Consumption Impact of Electric Vehicles by Means of Machine Learning Approaches." In Electric Transportation Systems in Smart Power Grids, 43–70. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003293989-3.

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Jing, Feng, and Pan Anding. "The Effect of Guangzhou’s Temperature Change to the Electric Power Consumption." In Advances in Intelligent and Soft Computing, 439–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25349-2_58.

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Istomin, Stanislav, and Maxim Bobrov. "The Organization of Adaptive Control, Forecasting and Management of Electric Power Consumption of Electric Rolling Stock." In Lecture Notes in Networks and Systems, 1521–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11058-0_154.

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de Queiroz, Alynne C. S., and José Alfredo F. Costa. "Behavior Pattern Recognition in Electric Power Consumption Series Using Data Mining Tools." In Intelligent Data Engineering and Automated Learning - IDEAL 2012, 522–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32639-4_64.

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Czachórski, Tadeusz, Erol Gelenbe, Godlove Suila Kuaban, and Dariusz Marek. "Optimizing Energy Usage for an Electric Drone." In Communications in Computer and Information Science, 61–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09357-9_6.

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AbstractUnmanned Aerial Vehicles (UAVs) are rapidly gaining popularity in a wide variety of applications, e.g., agriculture, health care, environmental management, supply chains, law enforcement, surveillance, and photography. Dones are often powered by batteries, making energy a critical resource that must be optimised during the mission of the drone. The duration of a done’s mission depends on the amount of energy required to perform some manoeuvering actions (takeoff, level flight, hovering, and landing), the energy required to power the ICT modules in the drone, the drone’s speed, payload, and the wind. In this paper, we present a model that minimizes the energy consumption of a low power drone and maximizes the time required to completely drain the drone’s battery and ensure the safe landing of the drone.
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Goolak, Sergey, Borys Liubarskyi, Svitlana Sapronova, Viktor Tkachenko, and Ievgen Riabov. "Determination of the Power Factor of Electric Rolling Stock of Alternating Current Consumption." In TRANSBALTICA XII: Transportation Science and Technology, 243–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94774-3_24.

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Fong, Simon, Meng Yuen, Raymond K. Wong, Wei Song, and Kyungeun Cho. "Real-Time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features." In Advanced Data Mining and Applications, 775–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_56.

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Conference papers on the topic "Electric power consumption"

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Brandstetter, Pavel, Jan Vanek, and Tomas Verner. "Electric vehicle energy consumption monitoring." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839444.

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Coban, Hasan Huseyin, Mohit Bajaj, Vojtech Blazek, Francisco Jurado, and Salah Kamel. "Forecasting Energy Consumption of Electric Vehicles." In 2023 5th Global Power, Energy and Communication Conference (GPECOM). IEEE, 2023. http://dx.doi.org/10.1109/gpecom58364.2023.10175761.

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Kott, M. "The electricity consumption in polish households." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477166.

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Cherkassky, Vladimir, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, and Paul Bursch. "Prediction of electric power consumption for commercial buildings." In 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE, 2011. http://dx.doi.org/10.1109/ijcnn.2011.6033285.

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Hobby, John D. "Constructing Demand Response Models for Electric Power Consumption." In 2010 1st IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2010. http://dx.doi.org/10.1109/smartgrid.2010.5622075.

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Murata, H., and T. Onoda. "Estimation of power consumption for household electric appliances." In 9th International Conference on Neural Information Processing. IEEE, 2002. http://dx.doi.org/10.1109/iconip.2002.1201903.

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Vitaliy, Kuznetsov, Tryputen Nikolay, and Kuznetsova Yevheniia. "Evaluating the Effect of Electric Power Quality upon the Efficiency of Electric Power Consumption." In 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). IEEE, 2019. http://dx.doi.org/10.1109/ukrcon.2019.8879841.

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Jiang, Jingfei, Bo Bao, Fanzhuo Meng, Yifan Ma, Hui Zhang, Yucheng Jin, Fengwen Pan, and Xinmei Yuan. "Probabilistic Energy Consumption Estimation for Electric Buses." In 2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES). IEEE, 2022. http://dx.doi.org/10.1109/spies55999.2022.10082616.

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Zihan, Wang, Shao Enze, Wang Can, Xu Xiao, Du Xianbo, Zhong Chunlin, Zou Lei, Chen GuoLin, and Fang Chao. "LSTM-Based Method for Electric Consumption Outlier Detection." In 2021 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2021. http://dx.doi.org/10.1109/ispec53008.2021.9735594.

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Damianakis, Nikolaos, Gautham Chandra Ram Mouli, and Pavol Bauer. "Risk-averse Estimation of Electric Heat Pump Power Consumption." In 2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE, 2023. http://dx.doi.org/10.1109/cpe-powereng58103.2023.10227424.

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Reports on the topic "Electric power consumption"

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Boero, Riccardo. Electric Power Consumption Coefficients for U.S. Industries: Regional Estimation and Analysis. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1372806.

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Mai, Trieu T., Paige Jadun, Jeffrey S. Logan, Colin A. McMillan, Matteo Muratori, Daniel C. Steinberg, Laura J. Vimmerstedt, Benjamin Haley, Ryan Jones, and Brent Nelson. Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1459351.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
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Dhammi, Rimmi, Marcus Jones, Shweta Varadarajan, Conor Baverstock, Steve Chege, and James Zihni. ACA105 Motorcade - Analysis toolkit for monitoring trials of zero emission vehicles. TRL, January 2024. http://dx.doi.org/10.58446/omcq1828.

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The UK Government’s climate change strategy has set ambitious targets to decarbonise transport. To support this the government has funded several programmes to develop new vehicle technologies and fuel/energy supply chains. To understand the performance of these new technologies there is a need for standardised tools that capture vehicle data and provide assessments of energy use that can be applied to compare energy consumption objectively. Such tools should also be capable of monitoring fleets of vehicles, to support evidence-based decision-making and strategic planning regarding the deployment of fleets employing new fuel types. This fleet performance monitoring tool has been the focus of the Motorcade project. Motorcade has drawn on data from two hydrogen vehicle demonstration projects providing telematics data on energy consumption to develop an Azure-based VAME (Vehicle Analytics for Monitoring and Evaluation) toolkit which collates, cleans, processes and interrogates telemetry data to obtain standardised metrics for reporting performance, reported in a Power BI dashboard. The toolkit is able to compare fuel, energy (excluding energy demand due to weather), duty cycle, emissions and cost for vehicles that deploy using electric and hydrogen technologies.
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Penetrante, B. M., M. C. Hsiao, and J. N. Bardsley. Power consumption and byproducts in electron beam and electrical discharge processing of volatile organic compounds. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/231371.

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Haddad, J., L. A. Horta Nogueira, Germano Lambert-Torres, and L. E. Borges da Silva. Energy Efficiency and Smart Grids for Low Carbon and Green Growth in Brazil: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, June 2015. http://dx.doi.org/10.18235/0007001.

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The Brazilian continental dimensions and diversified natural resources are proportional to the challenges to develop its infrastructure sustainably and supply proper public services to more than 200 million inhabitants. Energy consumption has doubled since 1990, fostered by economic growth and the expansion of middle class. In this context, promote energy efficiency, in a broad sense, is urgent and rational. Brazil has a relatively long history in promoting energy efficiency at final user level. A landmark of this process is the Brazilian Labeling Program, launched in 1984, as direct consequence of high prices of energy at that time. This program was coordinated by the National Institute of Metrology, Standardization and Industrial Quality, which sets standards for evaluation, ranks the performance of energy equipment and imposes a classificatory labeling to inform consumers, with a label similar to other countries. The National Electricity Conservation Program was created in 1985 by MME and is executed by ELETROBRÁS. The energy saving induced by this program in 2013 is equivalent to 2.1% of the total electric energy consumption in the period, corresponding to the annual energy consumption of about 5 million Brazilian households. In 2001, Federal Law 10,295, also known as the Energy Efficiency Law, was approved to reinforce those energy efficiency programs, allowing the Brazilian government to establish Minimum Energy Performance Standards for appliances and energy equipment, prohibiting the commercialization of low efficiency models and promoting the progressive withdrawal of low-efficiency models. According to the National Energy Plan 2030, up to 15.5 GW of electricity generation could be saved as a result of energy efficiency in the next 20 years. The Smart Grids, adopting modern technologies in electricity distribution has been proposed in Brazil improve the quality provided in the low voltage service, reduce losses, and reduce operating costs, among others. Several regulations related to this subject, dealing with grid connection for distributed small-scale generation, the establishment of the 'hourly tariff', with the regulation of the use of PLC; and with the compulsory use of Geographic Information System. Currently, dozens pilot projects on Smart Grids are underway in the country. Two projects are presented in detail: CEMIG and AES Eletropaulo, two Brazilian power utilities.
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Golovacheva, Larissa. Integration modules for electronic systems. Intellectual Archive, April 2024. http://dx.doi.org/10.32370/iaj.3067.

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As the innovative practice of recent years has shown, one of the main issues and problems of complex smart electronic devices, especially those including laser diodes, is the issue of reliable and efficient cooling In order to eliminate energy losses and increase the output of effective energy, especially in various lighting systems, an active search is being carried out for integrative technical solutions that allow, without the use of additional structural elements and additional energy costs for cooling, In parallel, we are searching for and developing technical solutions that make it possible, with the most concise and simple design, to increase the output light power of lighting devices with a relatively low power and, accordingly, low energy consumption.
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Gummow. L51908 AC Grounding Effects on Cathodic Protection Performance in Pipeline Stations.pdf. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2001. http://dx.doi.org/10.55274/r0010269.

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Most AC powered equipment at pipeline stations and at motorized valve sites isrequired, by code, to be electrically grounded to one or more ground electrodes. These grounding systems are normally electrically bonded to the AC power distribution grid, which can be quite extensive. Piping, either intentionally or inadvertently, is often connected to the AC electrical grounding grid in pipeline stations. Grounding grid conductors are usually bare and composed of copper or tinned copper, and ground rod materials can consist of a wide variety of metals such as copper-clad steel, carbon steel, stainless steel, galvanized steel, and galvanic anode alloys of zinc and magnesium. The interconnection of these grounding materials to the piping can increase the current requirements of the cathodic protection system, distort the current distribution pattern and complicate the accurate measurement of the pipe potentials. Benefit: The primary objective of this research project was to assess the impact of various types of grounding materials on the performance and testing of cathodic protection systems. The two major issues in this regard were the effects on current requirements and the accuracy of pipe-to-soil potential measurements. In addition, some related issues investigated as follows:the electrical resistance of each groundrod-to-earth was to be measured to determine whether or not there were any changes in the resistance-to-earth as a result cathodic polarization;the potential of galvanized steel was to be measured with increasing zinc consumption to determine if there is a well defined relationship between potential and zinc consumption; the National Electrical Code (NEC) was to be reviewed with respect to the insertion of AC coupling/DC isolating devices in series between the piping and the electrical grounding network. The results of this investigation were intended toprovide information to design more effective cathodic protection facilities for piping in pipeline stations having electrical grounding systems, anddetermine whether or not the resistance of the electrical grounding system increases as a result of receiving cathodic protection, andrecommend pipe-to-soil potential survey techniques to maximize measurement accuracy in the presence of an AC grounding grid, andevaluate the use of DC isolators/AC couplers to interconnect the piping to either the secondary or primary AC grounding system.
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Hall and Brown. PR-343-14607-R01 Miniaturized Gas Chromatography and Gas Quality Sensor. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2015. http://dx.doi.org/10.55274/r0010558.

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In natural gas transmission and distribution, many metering stations utilize gas chromatography to ensure the gas complies with the pipeline�s gas quality tariff provisions and to determine the chemical energy content of the gas for billing purposes. It is also used as a check on the operation of gas ultrasonic flowmeters through a calculation of the speed of sound in the gas. Because of limitations on existing gas chromatographs (GC�s), including high installed cost, analysis time, carrier gas consumption and others, there is a desire to consider alternate technologies for natural gas analysis. PRCI has sponsored a study of technologies that utilize the variation in absorption/scattering of optical wavelengths by different molecules. The purpose of this study is to extend that study to the use of additional technologies, such as MEMS (Micro-Electro-Mechanical Systems). This is not a new approach, but recent advancements offer a greater possibility of achievement of the desired goals than in the past. This study reviewed and evaluated work in process with MEMS technology to provide a smaller, less ex-pensive, lower-power and faster GC that can be utilized in a Class 1 Division 2 area. Developments at both commercial firms and in university MEMS research programs have been included. Since there have been several programs to evaluate �energy meters� that attempt to measure gas quality by calculating the BTU content of a gas sample, this study focused on micro-GC�s that can make a much more precise measurement of gas quality.
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Comparative Analysis on Fuel Consumption Between Two Online Strategies for P2 Hybrid Electric Vehicles: Adaptive-RuleBased (A-RB) vs Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS). SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0740.

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Hybrid electric vehicles (HEVs) represent one of the main technological options for reducing vehicle CO2 emissions, helping car manufacturers (OEMs) to meet the stricter targets which are set by the European Green Deal for new passenger cars at 80 g CO2/km by 2025. The optimal power-split between the internal combustion engine (ICE) and the electric motor is a challenge since it depends on many unpredictable variables. In fact, HEV improvements in fuel economy and emissions strongly depend on the energy management strategy (EMS) on-board of the vehicle. Dynamic Programming approach (DP), direct methods and Pontryagin’s minimum principle (PMP) are some of the most used methodologies to optimize the HEV power-split. In this paper two online strategies are evaluated: an Adaptive-RuleBased (A-RB) and an Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS). At first, a description of the P2 HEV model is made. Second, the two sub-optimal strategies are described in detail and then implemented on the HEV model to derive the fuel-optimal control strategy managing the power split between the thermal and electric engine to satisfy the driver's power request, including the engine on/off operating mode and the best gear selection. Finally, the two proposed strategies are tested on different driving cycles and then compared to other commercial strategies available in literature, such as the Equivalent Consumption Minimization Strategy (ECMS) and a RuleBased (RB) strategy. The results show that the A-ECMS is more conservative in terms of state of charge (SoC) compared to the A-RB. In fact, in the A-ECMS the SoC is always within the admissible range with considerable margin from the upper and lower limits for tested cycles, while in the A-RB a deep discharge of the battery is allowed. This behavior leads to a better fuel consumption of the A-RB compared to the A-ECMS, both in the WLTC and in the FTP-75 cycle.
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