Relevant bibliographies by topics / Reducing energy consumption

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reducing energy consumption'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Reducing energy consumption"

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M.S, Mr Muneshwara, Dr Anil G.N, and Dr Thungamani M. "Reducing Energy Consumption in Smart System through Mobilouds Framework." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 627–35. http://dx.doi.org/10.31142/ijtsrd6998.

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Amran, Aliza Che, Fariz Ali, and Atsuo Kawamura. "Reducing Energy Consumption with Constant Pelvis Height ZMP-Based Walking." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 307–12. http://dx.doi.org/10.1299/jsmeicam.2010.5.307.

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Polsenberg, Johanna. "Reducing Energy Consumption in China." Frontiers in Ecology and the Environment 2, no. 7 (September 2004): 345. http://dx.doi.org/10.2307/3868356.

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BUSCH, M., and W. MICKOLS. "Reducing energy consumption in seawater desalination." Desalination 165 (August 15, 2004): 299–312. http://dx.doi.org/10.1016/s0011-9164(04)00239-5.

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Veerapaneni, Srinivas Vasu, Bruce Long, Scott Freeman, and Rick Bond. "Reducing energy consumption for seawater desalination." Journal - American Water Works Association 99, no. 6 (June 2007): 95–106. http://dx.doi.org/10.1002/j.1551-8833.2007.tb07958.x.

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Gomez, Marc, and Dick Sun. "Smart Labs: Reducing laboratory energy consumption." Journal of Chemical Health and Safety 20, no. 3 (May 2013): 41. http://dx.doi.org/10.1016/j.jchas.2013.03.230.

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Busch, M., and W. E. Mickols. "Reducing energy consumption in seawater desalination." Desalination 165 (August 2004): 299–312. http://dx.doi.org/10.1016/j.desal.2004.06.035.

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Chenche, Sara. "For Reducing Energy Consumption in Public Transportation." European Journal of Economics and Business Studies 8, no. 1 (May 19, 2017): 87. http://dx.doi.org/10.26417/ejes.v8i1.p87-93.

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The concept of sustainable development, applied to cities, leads necessarily to give a large place to pedestrians, to cyclists and to public transport, which returns the viability to cities, by eliminating the enlargement of cars number, urban sprawl, accidents, traffic, pollution, and especially the huge consumption of energy, caused by cars and private transport. Mobility problems (traffic, transport...) are became more and more important, to study and resolve, because of their highest consumption of energy. Our research task is focused especially on the road transport of passengers, because it is a mode very large-scale consumer of energy which is often aimed by the energy policies. This leads us to study the dependence between energy and transport, then to study the intramodality of transport by encouraging public transport. But for that the passengers leave their cars and move towards public transport, this requires the development of a high-quality public transport, which is conquering with that of private vehicles, and therefore moderate the high consumption of energy. For that one of an important problem of stop location especially in the big cities is set.
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Qian, Hao, and Daniel Andresen. "Jade: Reducing Energy Consumption of Android App." International Journal of Networked and Distributed Computing 3, no. 3 (2015): 150. http://dx.doi.org/10.2991/ijndc.2015.3.3.2.

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Kemp-Hesterman, Aaron, Scott Glick, and Jennifer Eileen Cross. "Reducing electrical energy consumption through behaviour changes." Journal of Facilities Management 12, no. 1 (January 28, 2014): 4–17. http://dx.doi.org/10.1108/jfm-02-2013-0006.

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Purpose – The purpose of this paper is to look at the effect of human behaviour, and efforts to change that behaviour, on electricity consumption in a high school setting. Design/methodology/approach – The study uses a mixed methods design of interviews and historical electrical use data to assess two treatments impacts on electrical consumption over time at two Fort Collins high schools. Findings – Both treatments, the energy efficiency awareness campaign and the energy efficiency charrette, were found to have a positive impact on decreasing levels of electricity consumption. Unfortunately, these decreases lessened over time. The key attributes of communication, motivation, and leadership were identified as necessary at the high school facilities level to ensure long-term success in decreased electrical consumption. Research limitations/implications – The implications of this research focus on awareness of energy use in public schools and how to use awareness as a cost-effective tool in decreasing electrical consumption. The limitations are the inability to isolate HVAC consumption loads and the small study size. However, this is one of, if not the first, effort to use awareness campaigns and charrettes in a high school setting to decrease electrical use. Additional research would answer questions like: how to increase the charrette impact time; could these programs be adopted district wide at all grade levels; how could energy awareness be institutionalized so periodic charrettes are not necessary? Limitations include the inability to isolate heating and cooling electricity loads from the data. Originality/value – This study is the first of its kind and has value to facilities management personnel, custodians, faculty and administration members, particularly in a high school setting. This research provides a framework and potential guidance for a school organization to conserve electrical energy and achieve cost savings and environmental benefits.
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Dissertations / Theses on the topic "Reducing energy consumption"

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Ferdeen, Mats. "Reducing Energy Consumption Through Image Compression." Thesis, Linköpings universitet, Datorteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134335.

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The energy consumption to make the off-chip memory writing and readings are aknown problem. In the image processing field structure from motion simpler compressiontechniques could be used to save energy. A balance between the detected features suchas corners, edges, etc., and the degree of compression becomes a big issue to investigate.In this thesis a deeper study of this balance are performed. A number of more advancedcompression algorithms for processing of still images such as JPEG is used for comparisonwith a selected number of simpler compression algorithms. The simpler algorithms canbe divided into two categories: individual block-wise compression of each image andcompression with respect to all pixels in each image. In this study the image sequences arein grayscale and provided from an earlier study about rolling shutters. Synthetic data setsfrom a further study about optical flow is also included to see how reliable the other datasets are.
Energikonsumtionen för att skriva och läsa till off-chip minne är ett känt problem. Inombildbehandlingsområdet struktur från rörelse kan enklare kompressionstekniker användasför att spara energi. En avvägning mellan detekterade features såsom hörn, kanter, etc.och grad av kompression blir då en fråga att utreda. I detta examensarbete har en djuparestudie av denna avvägning utförts. Ett antal mer avancerade kompressionsalgoritmer förbearbetning av stillbilder som tex. JPEG används för jämförelse med ett antal utvaldaenklare kompressionsalgoritmer. De enklare algoritmerna kan delas in i två kategorier:individuell blockvis kompression av vardera bilden och kompression med hänsyn tillsamtliga pixlar i vardera bilden. I studien är bildsekvenserna i gråskala och tillhandahållnafrån en tidigare studie om rullande slutare. Syntetiska data set från ytterligare en studie om’optical flow’ ingår även för att se hur pass tillförlitliga de andra dataseten är.
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Deng, Shuo. "Reducing 3G energy consumption on mobile devices." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/71496.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 63-64).
The 3G wireless interface is a significant contributor to battery drain on mobile devices. This paper describes the design, implementation, and experimental evaluation of methods to reduce the energy consumption of the 3G radio interface. The idea is to put the radio in its "Low-power idle" state when no application is likely to need the network for some duration of time in the future. We present two techniques, one to determine when to change the radio's state from "Active" to "Low-power idle", and the other to change the radio's state from "Low-power idle" to "Active". The technique for switching to Low-power idle mode is well-suited for the emerging "fast dormancy" [3, 4] primitive that will soon be common on smartphones. We demonstrate using an implementation and a trace-driven evaluation based on the measurement and trace collected from HTC GI and Samsung Nexus S phones over various combinations of seven different background applications that our methods reduce the energy consumption of the 3G interface by 36% on average compared to the currently deployed scheme on the T-mobile network. In addition, if applications are able to tolerate a delay of a few seconds when they initiate a session, our methods reduce energy consumption by 52% on average, with a mean increase in delay of 6.46 seconds.
by Shuo Deng.
S.M.
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Ford, Rebecca. "Reducing domestic energy consumption through behaviour modification." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:ac11b371-82e3-4091-930c-ff0b28b9704e.

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This thesis presents the development of techniques which enable appliance recognition in an Advanced Electricity Meter (AEM) to aid individuals reduce their domestic electricity consumption. The key aspect is to provide immediate and disaggregated information, down to appliance level, from a single point of measurement. Three sets of features including the short term time domain, time dependent finite state machine behaviour and time of day are identified by monitoring step changes in the power consumption of the home. Associated with each feature set is a membership which depicts the amount to which that feature set is representative of a particular appliance. These memberships are combined in a novel framework to effectively identify individual appliance state changes and hence appliance energy consumption. An innovative mechanism is developed for generating short term time domain memberships. Hierarchical and nearest neighbour clustering is used to train the AEM by generating appliance prototypes which contain an indication of typical parameters. From these prototypes probabilistic fuzzy memberships and possibilistic fuzzy typicalities are calculated for new data points which correspond to appliance state changes. These values are combined in a weighted geometric mean to produce novel memberships which are determined to be appropriate for the domestic model. A voltage independent feature space in the short term time domain is developed based on a model of the appliance’s electrical interface. The components within that interface are calculated and these, along with an indication of the appropriate model, form a novel feature set which is used to represent appliances. The techniques developed are verified with real data and are 99.8% accurate in a laboratory based classification in the short term time domain. The work presented in this thesis demonstrates the ability of the AEM to accurately track the energy consumption of individual appliances.
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Herlich, Matthias [Verfasser]. "Reducing energy consumption of radio access networks / Matthias Herlich." Paderborn : Universitätsbibliothek, 2014. http://d-nb.info/1048130053/34.

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Jambli, Mohamad Nazim. "Reducing energy consumption in mobile ad-hoc sensor networks." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2624.

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Recent rapid development of wireless communication technologies and portable mobile devices such as tablets, smartphones and wireless sensors bring the best out of mobile computing, particularly Mobile Ad-hoc Sensor Networks (MASNETs). MASNETs are types of Mobile Ad-hoc Networks (MANETs) that are designed to consider energy in mind because they have severe resource constraints due to their lack of processing power, limited memory, and bandwidth as in Wireless Sensor Networks (WSNs). Hence, they have the characteristics, requirements, and limitations of both MANETs and WSNs. There are many potential applications of MASNETs such as a real-time target tracking and an ocean temperature monitoring. In these applications, mobility is the fundamental characteristic of the sensor nodes, and it poses many challenges to the routing algorithm. One of the greatest challenge is to provide a routing algorithm that is capable of dynamically changing its topology in the mobile environment with minimal consumption of energy. In MASNETs, the main reason of the topology change is because of the movement of mobile sensor nodes and not the node failure due to energy depletion. Since these sensor nodes are limited in power supply and have low radio frequency coverage, they easily lose their connection with neighbours, and face diffi culties in updating their routing tables. The switching process from one coverage area to another consumes more energy. This network must be able to adaptively alter the routing paths to minimize the effects of variable wireless link quality, topological changes, and transmission power levels on energy consumption of the network. Hence, nodes prefer to use as little transmission power as necessary and transmit control packets as infrequently as possible in energy constrained MASNETs. Therefore, in this thesis we propose a new dynamic energy-aware routing algorithm based on the trans- mission power control (TPC). This method effectively decreases the average percentage of packet loss and reduces the average total energy consumption which indirectly pro- long the network lifetime of MASNETs. To validate the proposed protocol, we ran the simulation on the Avrora simulator and varied speed, density, and route update interval of mobile nodes. Finally, the performance of the proposed routing algorithm was measured and compared against the basic Ad-hoc On-demand Distance Vector (AODV) routing algorithm in MASNETs.
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Menthon, Maxence, and Migom Léa Van. "Reducing energy consumption of refrigerators byusing the outside temperature." Thesis, Högskolan Dalarna, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28241.

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Nowadays, many electrical appliances are used daily. The refrigerator is one of them. Consequently, by affecting the energy used by the refrigerator, a huge amount of energy, greenhouse gases (GHG) emissions and money can be saved. It is what this thesis tries to do by applying a concept: using the cold from outside. Indeed, this report exposes the process to answer the following question: How much energy, GHG emissions and money can be saved by using the cold from outside on the refrigerating appliances? To do so, measurements have been done on a refrigerator placed in a climate chamber. The experiment procedure is inspired by the Swedish standard of energy consumption testing in order to have the most relevant results as possible. The results of the measures were then used to create a mathematical modelling. And finally, by applying the modelling at different climate of the world represented by chosen cities, calculations were made to estimate the energy, GHG emissions and money savings which can be done thanks to this concept.
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Cocks, R. J. "The potential for reducing energy use in UK agriculture." Thesis, University of Reading, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372542.

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Krones, Manuela, and Egon Müller. "An Approach for Reducing Energy Consumption in Factories by Providing Suitable Energy Efficiency Measures." Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-152052.

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Energy efficiency has developed into an important objective for industrial enterprises. However, there is still a need for systematic approaches to reduce energy consumption in factories. Existing methods focus on the optimization of manufacturing processes and lack upon considering the entire factory system. Additionally, they are based on a detailed quantitative analysis of processes and thus, they need a high effort during the phase of data acquisition. Therefore, an approach for reducing energy consumption by providing energy efficiency measures to factory planning participants was developed in order to overcome these barriers. The general approach is described in this paper and supported with a use case that demonstrates the required information and possible outcomes in terms of energy efficiency information. Main advantages of this approach are reducing the effort to acquire energy data and the possibility to consider the factory system holistically.
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Nikitovic, Mladen. "Reducing Energy Consumption through Adaptive Shutdown Scheduling on a Chip-Multiprocessor." Licentiate thesis, KTH, Microelectronics and Information Technology, IMIT, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1774.

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There is seemingly a never-ending consumer demand for mobileterminals such as cellular phones and personal digitalassistants (PDAs). Each new generation of terminals comes withmore elaborate functions than in the previous generation. Thistrend results in a higher performance demand on the computerarchitecture that performs the required computations within theterminal. To satisfy the projected requirements on cominggenerations of mobile terminals, we propose an architecturethat when intelligently managed can provide the necessaryperformance at low power and energy consumption. Thisarchitecture, a chip-multiprocessor (CMP), thus amulti-processor implemented on a single chip, has incombination with adaptive scheduling strategies the potentialto efficiently fullfill future requirements.

This licentiate thesis spans over several studies done onthe effectiveness of the adaptive CMP. In our studies, we haveshown that an adaptive CMP can satisfy the same performancerequirements as a comparable uni-processor, still consumingless power and energy. Furthermore, we have made an effort toaccurately model the workload behaviour of mobile terminals,which is of paramount importance when comparing candidatearchitectures. In the future, apart from proposing moreadaptive scheduling techniques, we expect to do more thoroughstudies on workload modeling as well as on the operating systeminfluence on the overall performance and power consumption.

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Michaelis, Peter. "Reducing resource consumption in the UK steel sector : an exergy analysis." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/842698/.

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This study has investigated the use of exergy analysis when applied to the UK steel sector. The aim has been twofold: to assess whether exergy analysis provides greater insight into physical processes at this level than conventional thermodynamic analyses; and whether it can be used to identify ways that this sector has reduced its impact on the environment in the past, and how this might continue in the future. An overview of the issues surrounding resource consumption and waste generation and their relationship to the steel sector are given [Chapter 1]. The theory behind exergy analysis is then reviewed and its relevance to reducing resource use and waste minimisation examined [Chapter 2]. An exergy analysis was performed on all the processes within the steel sector [Chapters 3 & 4] and the reasons for thermodynamic inefficiencies discussed. Based on these analyses, exergy analysis was found to be superior to other methods in describing some, but not all, processes when compared with two forms of energy analysis [Chapter 5]. This is due to fact that exergy includes an account of entropy which quantifies thermodynamic quality. It was shown that reducing the exergy consumption of the steel sector leads to a reduction in resource use and to some extent will lead to a reduction in the emission of pollutants. Two different systems which could represent the UK steel sector were investigated to determine which best fitted the aims of the study [Chapter 6]. The first system was based on all processes within the UK which were linked to the use of steel; the second was based on all processes, regardless of location, which were linked to the use of steel in the UK. It was found that for the steel sector at least, there was little difference in the exergy consumption of each system, although these were structurally quite different. Finally a system was chosen to represent the UK steel sector which best suited the needs of the study. This system was used to examine the evolution of the steel sector from 1954-1994, detailing all the main steel and scrap flows, the exergy consumption in; mining, transport, steel production and scrap processing, the effects of trade and the role of manufacture and product use in generating scrap [Chapter 7]. It was found that the exergy consumption of the UK steel sector has fallen twofold in this time period, indicating a large reduction in resource consumption. Based on past evolution, scenarios for possible futures of the steel sector were constructed [Chapter 8]. These showed that from 1994 to 2019 substantial reductions in the exergy consumption of the sector are possible (between 15% and 72% of 1994 levels by 2019) through changes to: the overall demand for steel goods, the technology of steel production and the mix of steel production methods.
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Books on the topic "Reducing energy consumption"

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University of Texas at Austin. Center for Transportation Research. Texas transportation energy savings: Strategies for reducing energy consumption. Austin, Tex: Texas Sustainabale Energy Development Council, 1995.

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Woodside, Christine. Energy independence: Your everyday guide to reducing fuel consumption. Guilford, Conn: Lyons Press, 2009.

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Nadel, Steven. Smart energy policies: Saving money and reducing pollutant emissions through greater energy efficiency. Washington, D.C: American Council for an Energy-Efficient Economy, 2001.

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Newman, Peter. Transport energy conservation policies for Australian cities: Strategies for reducing automobile dependence. Western Australia: Institute of Science and Technology Policy, Murdoch University, 1990.

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Elliott, R. Neal. Reducing oil use through energy efficiency: Opportunities beyond cars and light trucks. Washington, D.C: American Council for an Energy-Efficient Economy, 2006.

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Hart, Patricia H. Reducing household energy consumption in Maine: What it would take to achieve a 25% reduction by 2011. [Augusta, Me.?: The Office?], 2001.

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M, Sollinger Jerry, Science and Technology Policy Institute (Rand Corporation), Rand Corporation, United States. Dept. of Energy, and E-Vision 2002 (2002 : Arlington, Va.), eds. E-vision 2002: Shaping our energy future : shaping our future by reducing energy intensity in the U.S. economy. Santa Monica, CA: RAND, 2003.

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Technologies and approaches to reducing the fuel consumption of medium- and heavy-duty vehicles. Washington, D.C: National Academies Press, 2010.

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Hepburn, Richard L. Understanding & reducing your electric bill: For owners & managers. Houston, Tex: Emerald Ink Pub., 1995.

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John, Hall. Reducing industrial oil costs. Aldershot: Gower, 1987.

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Book chapters on the topic "Reducing energy consumption"

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Albert, Dietrich, Michael A. Bedek, and Wolfgang A. Horn. "Reducing Energy Consumption by Behavioural Change." In Smart Innovation, Systems and Technologies, 257–68. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8944-7_16.

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Golwalkar, Kiran R. "Examples of Modified Methods for Reducing Energy Consumption." In Integrated Maintenance and Energy Management in the Chemical Industries, 259–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32526-8_11.

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Sato, Toshinori, and Itsujiro Arita. "Reducing Energy Consumption via Low-Cost Value Prediction." In Lecture Notes in Computer Science, 380–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45716-x_38.

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Dutta, Bhaskar, and Soumen Maity. "Role of Blended Cement in Reducing Energy Consumption." In RILEM Bookseries, 585. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9939-3_80.

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McKinnon, Alan C. "Reducing Energy Consumption and Emissions in the Logistics Sector." In Energy, Transport, & the Environment, 521–37. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2717-8_29.

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Habibullah, Khan Mohammad, Eric Rondeau, and Jean-Philippe Georges. "Reducing Energy Consumption of Network Infrastructure Using Spectral Approach." In Technology for Smart Futures, 235–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60137-3_11.

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Tian, Huamei, Kui Wu, Sue Whitesides, and Cuiying Feng. "Constrained Light Deployment for Reducing Energy Consumption in Buildings." In Combinatorial Optimization and Applications, 350–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48749-6_26.

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Kandemir, Mahmut. "Memory Bank Locality and Its Usage in Reducing Energy Consumption." In Designing Embedded Processors, 191–216. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5869-1_8.

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Kim, SeongBo, JaHwan Koo, YoonHo Kim, and UngMo Kim. "Reducing Power Consumption of Mobile Watermarking Application with Energy Refactoring." In Human Interface and the Management of Information. Information in Applications and Services, 599–608. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92046-7_49.

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Chrysos, Grigorios, and Ioannis Papaefstathiou. "Heavily Reducing WSNs’ Energy Consumption by Employing Hardware-Based Compression." In Ad-Hoc, Mobile and Wireless Networks, 312–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04383-3_23.

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Conference papers on the topic "Reducing energy consumption"

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Peng, Liang. "GScheduler: Reducing Mobile Device Energy Consumption." In 2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD). IEEE, 2016. http://dx.doi.org/10.1109/acit-csii-bcd.2016.014.

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Chebbi, Olfa, and Nouha Nouri. "Reducing Energy Consumption in Smart Cities." In GECCO '16: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2908961.2931637.

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Brandic, Ivona. "Reducing Energy Consumption by Using Clouds." In 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2013. http://dx.doi.org/10.1109/synasc.2013.80.

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Intlekofer, Koji, Bert Bras, and Mark Ferguson. "Reducing Product Energy Consumption With Leasing." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87328.

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Consumer demand and government regulation have led to increasing energy efficiency among consumer products to reduce environmental impacts. Continual improvement of the use-phase energy consumption results in points where it is environmentally beneficial for the product to be replaced with the newest model. Life cycle optimization is used to determine the product life spans that minimize energy consumption. Unfortunately, optimal life spans are found to be significantly shorter than current replacement periods and consumer behavior. This paper introduces the concept of using leasing as a tool for manufacturers to regulate product life spans as well as provide frequent maintenance and upgrades to improve product performance. Leasing offers flexibility that can be used to control product flow with varying replacement intervals necessary to make manufacturing optimal. Because ownership is maintained by manufacturers who are responsible for the product at its end-of-life, remanufacturing becomes an appealing alternative to landfilling, and offers additional energy savings by avoiding significant manufacturing processes. When remanufacturing is combined with optimal life cycles, significant long-term energy savings can be realized. In this paper we reveal some basic trends that could lead to a larger, more detailed study of product replacement and efficiency gains with respect to leasing. Refrigerators, dish washers, clothes washers, and vehicles are used as case studies.
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Bruce, Bobby R., Justyna Petke, and Mark Harman. "Reducing Energy Consumption Using Genetic Improvement." In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739480.2754752.

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Guzma, Vladimir, Teemu Pitkanen, Pertti Kellomaki, and Jarmo Takala. "Reducing processor energy consumption by compiler optimization." In 2009 IEEE Workshop on Signal Processing Systems (SiPS). IEEE, 2009. http://dx.doi.org/10.1109/sips.2009.5336226.

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Yasukata, Kenichi, Tetsuro Horikawa, Michio Honda, and Hideyuki Tokuda. "Reducing energy consumption with batched task executions." In the 10th ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2426656.2426699.

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Son, S. W., G. Chen, and M. Kandemir. "Disk layout optimization for reducing energy consumption." In the 19th annual international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1088149.1088186.

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Ournani, Zakaria, Romain Rouvoy, Pierre Rust, and Joel Penhoat. "On Reducing the Energy Consumption of Software." In ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3382494.3410678.

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Pernici, Barbara, and Pierluigi Plebani. "From Reducing Energy Consumption to Reducing CO2 Emissions - The ECO2Clouds Approach." In European Project Space on Information and Communication Systems. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0006183200610070.

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Reports on the topic "Reducing energy consumption"

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Yourtchenko, A., and L. Colitti. Reducing Energy Consumption of Router Advertisements. RFC Editor, February 2016. http://dx.doi.org/10.17487/rfc7772.

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Radosz, Maciej. Reducing energy consumption and pollution in plastic manufacturing processes. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/820077.

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William Belding, R. Collier, and William Worek. Development of Low Cost Total Energy Exchange Devices for Reducing Building Energy Consumption. Office of Scientific and Technical Information (OSTI), April 2002. http://dx.doi.org/10.2172/939577.

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Kurn, D. M., S. E. Bretz, B. Huang, and H. Akbari. The potential for reducing urban air temperatures and energy consumption through vegetative cooling. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10180633.

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Author, Not Given. Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs (Fact Sheet). Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1127262.

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Fang, Z. Zak, Ravi Chandran, and Mark Koopman. A New Method for Low Cost Production of Titanium Alloys for Reducing Energy Consumption of Mechanical Systems. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1250865.

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Mazari, Mehran, Siavash F. Aval, Siddharth M. Satani, David Corona, and Joshua Garrido. Developing Guidelines for Assessing the Effectiveness of Intelligent Compaction Technology. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1923.

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Abstract:
Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology compared to the conventional compaction approach. The environmental impacts of the improved construction process were quantified based on limited data available from the case studies. The LCCA performed in this study consisted of different scenarios in which the number of operating hours was evaluated to estimate the cost efficiency of the intelligent compaction technique during construction. The analyses showed a reduction in energy consumption and the production of greenhouse gas (GHG) emissions with the use of intelligent compaction. The LCCA showed that the use of IC technology may reduce the construction and maintenance costs in addition to enhancing the quality control and quality assurance (QC/QA) process. However, a more comprehensive analysis is required to fully quantify the benefits and establish more accurate performance indicators. A draft version of the preliminary guidelines for implementation of IC technology and long-term monitoring of the performance of pavement layers compacted thereby is also included in this report.
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