Relevant bibliographies by topics / Energy benchmarks

Academic literature on the topic 'Energy benchmarks'

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Published: 14 March 2023

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Journal articles on the topic "Energy benchmarks"

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Ruegemer, Joerg, and Ryan E. Smith. "Energy Efficiency Benchmarks for Housing: A Comparative Study of Energy Efficiency Benchmark Housing Systems." International Journal of Technology, Knowledge, and Society 8, no. 1 (2012): 85–102. http://dx.doi.org/10.18848/1832-3669/cgp/v08i01/56267.

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Shuaiwen Song, Rong Ge, Xizhou Feng, and Kirk W. Cameron. "Energy Profiling and Analysis of the HPC Challenge Benchmarks." International Journal of High Performance Computing Applications 23, no. 3 (June 5, 2009): 265–76. http://dx.doi.org/10.1177/1094342009106193.

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Future high performance systems must use energy efficiently to achieve petaFLOPS computational speeds and beyond. To address this challenge, we must first understand the power and energy characteristics of high performance computing applications. In this paper, we use a power-performance profiling framework called Power-Pack to study the power and energy profiles of the HPC Challenge benchmarks. We present detailed experimental results along with in-depth analysis of how each benchmark's workload characteristics affect power consumption and energy efficiency. This paper summarizes various findings using the HPC Challenge benchmarks, including but not limited to: 1) identifying application power profiles by function and component in a high performance cluster; 2) correlating applications' memory access patterns to power consumption for these benchmarks; and 3) exploring how energy consumption scales with system size and workload.
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Kim, Hye Gi, and Sun Sook Kim. "Development of Energy Benchmarks for Office Buildings Using the National Energy Consumption Database." Energies 13, no. 4 (February 20, 2020): 950. http://dx.doi.org/10.3390/en13040950.

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In an effort to improve the energy efficiency of existing buildings, it is necessary to first evaluate the energy performance of those buildings. Since it is difficult to obtain detailed information on existing buildings, the challenge is how to conduct reliable energy performance assessments with this limited information. As a result, many countries have adopted evaluation systems based on measured energy consumption data for existing buildings. This study aims to analyze the building energy consumption and characteristics using Korea’s national building database and provide an energy performance benchmark for continuous management of the energy performance of existing buildings. We analyzed the relationship between the basic statistical characteristics of the information collected from the national integrated energy database and energy consumption. The total floor area was found to be closely related to energy consumption, and various regression analysis methods were applied and compared to develop a benchmark to explain the trends of energy consumption according to the increase in total floor area. Finally, the developed benchmarks were used to evaluate energy consumption and examine the feasibility of the benchmarks.
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Daniele, Dadi, Vito Introna, Annalisa Santolamazza, Marcello Salvio, Chiara Martini, Tiberio Pastura, and Fabrizio Martini. "Private Hospital Energy Performance Benchmarking Using Energy Audit Data: An Italian Case Study." Energies 15, no. 3 (January 22, 2022): 806. http://dx.doi.org/10.3390/en15030806.

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The increased focus on energy efficiency, both at the national and international levels, has fostered the diffusion and development of specific energy consumption benchmarks for most relevant economic sectors. In this context, energy-intensive facilities, such as hospitals and health structures, represent a unique case. Indeed, despite the high energy consumption of these structures, scientific literature lacks the presence of adequate energy performance benchmarks, especially in regard to the European context. Thus, this study aimed at defining energy benchmark indicators for the Italian private healthcare sector using data collected from the Italian mandatory energy audits according to Art.8 EU Directive 27/2012. The benchmark indicators’ definition was made using a methodology proposed by the Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA). This methodology provided the calculation of specific energy performance indicators (EnPIs) by considering the global energy consumption of the different sites and the sector’s relevant variables. The results obtained were compared with those obtained from a consolidated but more complex methodology: the one envisaged by the Environmental Protection Agency. The results obtained allowed us to validate the reliability of the proposed methodology, as well as the validity and future usability of the calculated indicators. Relying on a significant database containing actual data from recent energy audits, this study was thus able to provide an up-to-date and reliable benchmark for the private healthcare sector.
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Vaisi, Salah, Saleh Mohammadi, Benedetto Nastasi, and Kavan Javanroodi. "A New Generation of Thermal Energy Benchmarks for University Buildings." Energies 13, no. 24 (December 14, 2020): 6606. http://dx.doi.org/10.3390/en13246606.

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In 2008, the Chartered Institution of Building Services Engineers (CIBSE TM46 UC) presented an annual-fixed thermal energy benchmark of 240 kWh/m2/yr for university campus (UC) buildings as an attempt to reduce energy consumption in public buildings. However, the CIBSE TM46 UC benchmark fails to consider the difference between energy demand in warm and cold months, as the thermal performance of buildings largely depends on the ambient temperature. This paper presents a new generation of monthly thermal energy benchmarks (MTEBs) using two computational methods including mixed-use model and converter model, which consider the variations of thermal demand throughout a year. MTEBs were generated using five basic variables, including mixed activities in the typical college buildings, university campus revised benchmark (UCrb), typical operation of heating systems, activities impact, and heating degree days. The results showed that MTEBs vary from 24 kWh/m2/yr in January to one and nearly zero kWh/m2/yr in June and July, respectively. Based on the detailed assessments, a typical college building was defined in terms of the percentage of its component activities. Compared with the 100% estimation error of the TM46 UC benchmark, the maximum 21% error of the developed methodologies is a significant achievement. The R-squared value of 99% confirms the reliability of the new generation of benchmarks.
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Tantiwanit, Kornkamon. "Establishing Energy Consumption Benchmarks of Office Buildings in Bangkok." Journal of Architectural/Planning Research and Studies (JARS) 5, no. 1 (September 3, 2018): 53–64. http://dx.doi.org/10.56261/jars.v5i1.169213.

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This paper presents energy consumption benchmarks of office buildings based on the local contextof Bangkok in terms of kWh/m2/month and kWh/m2/year. The benchmark is important as a starting pointof systematic energy management in office buildings. It has potential to identify energy performance of anoffice building by comparing against others. If the building performs lower than the standard, the benchmarkoffers a realistic energy goal. Then systematic energy management—establishing action plan, implementingstrategies, monitoring energy consumption and continuous improvement—can be continued.
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Avramova, Maria, and Diana Cuervo. "Assessment of CTF Boiling Transition and Critical Heat Flux Modeling Capabilities Using the OECD/NRC BFBT and PSBT Benchmark Databases." Science and Technology of Nuclear Installations 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/508485.

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Over the last few years, the Pennsylvania State University (PSU) under the sponsorship of the US Nuclear Regulatory Commission (NRC) has prepared, organized, conducted, and summarized two international benchmarks based on the NUPEC data—the OECD/NRC Full-Size Fine-Mesh Bundle Test (BFBT) Benchmark and the OECD/NRC PWR Sub-Channel and Bundle Test (PSBT) Benchmark. The benchmarks’ activities have been conducted in cooperation with the Nuclear Energy Agency/Organization for Economic Co-operation and Development (NEA/OECD) and the Japan Nuclear Energy Safety (JNES) Organization. This paper presents an application of the joint Penn State University/Technical University of Madrid (UPM) version of the well-known sub-channel code COBRA-TF (Coolant Boiling in Rod Array-Two Fluid), namely, CTF, to the steady state critical power and departure from nucleate boiling (DNB) exercises of the OECD/NRC BFBT and PSBT benchmarks. The goal is two-fold: firstly, to assess these models and to examine their strengths and weaknesses; and secondly, to identify the areas for improvement.
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Valentine, Timothy, Maria Avramova, Michael Fleming, Mathieu Hursin, Kostadin Ivanov, Alessandro Petruzzi, Upendra Rohatgi, and Kiril Velkov. "OVERVIEW OF THE OECD-NEA EXPERT GROUP ON MULTI-PHYSICS EXPERIMENTAL DATA, BENCHMARKS AND VALIDATION." EPJ Web of Conferences 247 (2021): 06048. http://dx.doi.org/10.1051/epjconf/202124706048.

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The OECD Nuclear Energy Agency (NEA) Nuclear Science Committee (NSC) established the Expert Group on Multi-physics Experimental Data, Benchmarks and Validation (EGMPEBV) in 2014 to bridge the gap between advanced, multi-physics simulation capabilities and the relatively low availability of dedicated, high-fidelity experimental data and benchmarks specifically for multi-physics modelling and simulation tools. The EGMPEBV was mandated to establish mechanisms for the certification of experimental data and benchmark models and to establish the processes and procedures for the validation of multi-physics modelling and simulation tools. The EGMPEBV oversees three task forces, covering (1) experimental data qualification and benchmark evaluation, (2) validation guidelines and needs and (3) example application of validation experiments. These have generated numerous reports surveying the state-of-the-art in multi-physics validation, challenge areas and recommendations for the evaluation of multi-physics benchmarks, while in parallel developing the specifications for multi-physics benchmarks. Three benchmark specifications are in active development, including a reactivity compensation scenario in the Rostov Unit 2 VVER-1000, multi-cycle depletion of the TVA Watts Bar Unit 1 and study of pellet cladding mechanical interaction within ramp tests performed at the Studsvik R2 reactor. We provide an overview of the recent progress in these areas and a summary of the future activities of the EGMPEBV in establishing international multi-physics benchmarks.
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Hiscox, Briana, Benjamin Betzler, Vladimir Sobes, and William J. Marshall. "NEUTRONIC BENCHMARKING OF SMALL GAS-COOLED SYSTEMS." EPJ Web of Conferences 247 (2021): 10033. http://dx.doi.org/10.1051/epjconf/202124710033.

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To demonstrate that nuclear reactors can be built faster and more economically than they have been in the past, the US Department of Energy Office of Nuclear Energy is sponsoring the development of a small nuclear reactor called the Transformational Challenge Reactor (TCR) [1–2]. An important part of the design and licencing process of a new reactor is validation of the software used to analyze the reactor using established reactor physics benchmarks. This paper discusses validation of the neutronics software used to model four preliminary designs of the TCR core [2]. Because the TCR core design uses innovative technology and methods, comparable established benchmarks are limited or do not exist. For this effort, established benchmarks from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP) [3] were considered to be suitable for this design based on analysis using the SCALE/TSUNAMI-computed similarity indices to determine the amount of shared uncertainty between the design and each selected benchmark experiment. This paper addresses the challenges faced in benchmarking a unique reactor for licensing and construction, a task that will become more common as a new generation of innovative nuclear reactors are designed and built.
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Longo, Mathias, Ana Rodriguez, Cristian Mateos, and Alejandro Zunino. "Reducing energy usage in resource-intensive Java-based scientific applications via micro-benchmark based code refactorings." Computer Science and Information Systems 16, no. 2 (2019): 541–64. http://dx.doi.org/10.2298/csis180608009l.

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In-silico research has grown considerably. Today?s scientific code involves long-running computer simulations and hence powerful computing infrastructures are needed. Traditionally, research in high-performance computing has focused on executing code as fast as possible, while energy has been recently recognized as another goal to consider. Yet, energy-driven research has mostly focused on the hardware and middleware layers, but few efforts target the application level, where many energy-aware optimizations are possible. We revisit a catalog of Java primitives commonly used in OO scientific programming, or micro-benchmarks, to identify energy-friendly versions of the same primitive. We then apply the micro-benchmarks to classical scientific application kernels and machine learning algorithms for both single-thread and multi-thread implementations on a server. Energy usage reductions at the micro-benchmark level are substantial, while for applications obtained reductions range from 3.90% to 99.18%.
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Dissertations / Theses on the topic "Energy benchmarks"

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Obrart, Alan. "Energy reduction in tertiary education buildings: establishing functional area energy consumption benchmarks using the LLO tool." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/15729.

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This research establishes comprehensive and improved energy consumption benchmarks for Australian tertiary education facilities. It examines the audit of energy end use in various functional areas in a sample of tertiary education institutions to identify, control and reduce electrical energy used in typical existing campus buildings. Many Australian universities have data available for energy consumption of their total campus and selected individual whole buildings. However, as the typical tertiary campus is characterised by a large and diversified portfolio of buildings with differing architecture, facades, occupancy and services, energy comparison between buildings does not provide useful information. This differs from energy use and management in general commercial office buildings. Universities also have different disciplines performing different activities that are not directly comparable. For instance, a campus with a medical school or molecular science building (service equipment intensive type) has a different energy use profile from one that does not. This research develops a common tertiary education functional typology within different campus buildings, grouped according to significant architectural features, energy intensity and use, to establish appropriate energy benchmarks for common functional areas such as offices, lecture rooms and laboratories. Assessment of these common functional areas by energy audit allows quantitative comparison between functional areas, and between diverse whole buildings. It also provides a rational basis for establishing performance targets for buildings at the early design stage by aggregation of functional areas. Benchmarking these areas allows energy managers to manage by exception and the benchmarking process enables managers to practise continuous improvement. The knowledge and data from this study enables researchers to focus on those factors that specifically affect energy use for particular activities. This enables building energy managers to discern and rank those major factors that determine energy consumption, allowing them to concentrate their performance efforts on the most energy efficient measures. The benchmarks derived in this study came from audits of 24 buildings at the University of Sydney campus across a five-year period (2009–2014) comprising over 80 distinct functional areas. Using this data, together with local and overseas sources, the LLO functional area energy benchmark tool was developed. LLO is an acronym derived from the surnames of the researcher and two colleagues who discussed the development of the University of Sydney graduate energy audit program in 2009.
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Martin, Caroline. "Establishing energy benchmarks for commercial buildings in the City of Cape Town." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11515.

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The South African Government has ambitious aspirations relating to energy efficiency in their commercial building stock, but no clear strategy for tackling existing buildings. This research redresses this by examining international approaches to the benchmarking process and applies these in the context of South Africa.
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Osmar, Jerri Lynn Amos. "Using alternative energy concepts and hands-on activities to teach physics benchmarks and increase student motivation thermodynamics, optics and electricity /." Diss., Connect to online resource - MSU authorized users, 2008.

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Thesis (M.S.)--Michigan State University. Interdepartmental Physical Sciences, 2008.
Title from PDF t.p. (viewed on July 29, 2009) Includes bibliographical references (p. 378-380). Also issued in print.
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Gonzalez, Hernandez Ana. "Site-level resource efficiency analysis." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/284771.

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To achieve agreed targets for reducing global carbon emissions, industry must become more resource-efficient. To this end, two viable strategies exist: energy efficiency and material efficiency. Despite their inherent interdependence, industry continues to treat these two strategies as isolated pursuits, providing in the process only a partial insight into the potential of resource efficiency. To resolve this disconnect, this thesis attempts to develop and apply tools that help integrate industrial energy and material efficiency analyses. Three areas of research are explored. The first is concerned with a fundamental component of industrial performance: efficiency benchmarks. No agreed-upon metric exists to measure the efficiency with which the sector trans- forms both energy and materials - that is, how resource-efficient they are. This thesis applies exergy - a well-established method to consolidate energy and materials into a single metric - to a case study of the global steel industry in 2010. Results show that this exergy-based metric provides a suitable proxy to capture the interactions between energy and materials. By comparing energy and material efficiency options on an equal footing, this metric encourages the recovery of material by-products - an intervention excluded from traditional energy efficiency metrics. To realise resource efficiency opportunities, individual industry firms must be able to identify them at actionable time-frames and scopes. Doing this hinges on understanding resources flows through entire systems, the most detailed knowledge of which resides in control data. No academic study was found to exploit control data to construct an integrated picture of resources that is representative of real operations. In the second research area, control data is extracted to track the resource flows and efficiency of a basic oxygen steel-making plant from TataSteel. This second case study highlights the plant's material efficiency options during operations. It does so by building close-to-real-time Sankey diagrams of resource flows (measured in units of exergy) for the entire plant and its constituent processes. Without the support of effective policies the new exergy approach is unlikely to be widely adopted in industry. By collating evidence from interviews and policy documents, the third area explores why the European Union's industrial energy and emissions policies do not incentivise material efficiency. Results suggest several contributing factors, including: the inadequacy of monitored indicators; an imposed policy lock-in; and the lack of a designated industry lobby and high-level political buy-in. Policy interventions are then proposed to help integrate material efficiency into energy and climate agendas. The European Union's limited agency stresses the need for Member States and industry to drive the move to a low-carbon industry in the short-term.
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Schmid, Moura Miguel. "Impact of Filtration on Energy Contract Valuation." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/05609615001/$FILE/05609615001.pdf.

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Noureddine, Adel. "Towards a better understanding of the energy consumption of software systems." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10009/document.

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La consommation énergétique augmente dans les technologies informatiques, notamment à cause de l'augmentation de l'utilisation des services web et distribuée, l'informatique dans les nuages, ou les appareils mobiles. Par conséquent, des approches de gestion de l'énergie ont été développées, de l'optimisation du code des logiciels, à des stratégies d'adaptation basées sur l'utilisation des ressources matérielles. Afin de répondre à ces lacunes, nous présentons dans cette thèse, des modèles énergétiques, approches et outils pour estimer fidèlement la consommation énergétique des logiciels, au niveau de l'application, et au niveau du code, et pour inférer le modèle d'évolution énergétique des méthodes basé sur leurs paramètres d'entrées. Nous proposons aussi Jalen et Jalen Unit, des frameworks énergétiques pour estimer la consommation énergétique de chaque portion de code de l'application, et pour inférer le modèle d'évolution énergétique des méthodes en se basant sur des études et expériences empiriques. En utilisant des modèles énergétiques et d’outils d'estimations logicielles, nous pouvons proposer des informations énergétiques précises sans avoir besoin de wattmètres ou d'investissement de matériels de mesures énergétiques. Les informations énergétiques que nous proposons, offrent aussi aux approches de gestion énergétique des mesures directes et précises pour leurs approches d'adaptations et d'optimisations énergétiques. Ces informations énergétiques établissent aussi un modèle d'évolution énergétique des logiciels en se basant sur leurs paramètres d'entrées. Cela offre aux développeurs une connaissance plus profonde sur l'efficacité énergétique dans les logiciels
With the rise of the usage of computers and mobile devices, and the higher price of electricity, energy management of software has become a necessity for sustainable software, devices and IT services. Energy consumption in IT is rising through the rise of web and distributed services, cloud computing, or mobile devices. However, these approaches do not use proper energy information for their adaptations rendering themselves limited and not energy-aware. They do not provide an energy feedback of software, and limited information is available on how and where energy is spend in software code. To address these shortcomings, we present, in this thesis, energy models, approaches and tools in order to accurately estimate the energy consumption of software at the application level, at the code level, and for inferring energy evolution models based on the method's own input parameters. We also propose Jalen and Jalen Unit, energy frameworks for estimating how much energy each portion of code consumes, and for inferring energy evolution models based on empirical benchmarking of software methods. By using software estimations and energy models, we are able to provide accurate energy information without the need of power meters or hardware energy investment. The energy information we provide also gives energy management approaches direct and accurate energy measurements for their adaptations and optimizations. Provided energy information also draws a model of energy consumption evolution of software based on the values of their input parameters. This gives developers knowledge on energy efficiency in software leading to choose some code over others based on their energy performance
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Meyer, Katharina. "Carboxylic Acids Under Vibrational Scrutiny: Experimental Reference Data to Benchmark Quantum Chemical Calculations." Doctoral thesis, Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://hdl.handle.net/21.11130/00-1735-0000-0005-14BA-3.

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Farrou, Ifigenia. "Investigation of energy performance and climate change adaptation strategies of hotels in Greece." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/8137.

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There is evidence that hotels are the highest energy use buildings of the tertiary sector in Europe and internationally because of their operational characteristics and the large number of users. Therefore, there is potential for significant energy savings. This study investigated the energy performance of the hotel sector in Greece and proposes a methodology for their energy classification and climate change mitigation strategies for an optimum building envelope design for a typical hotel building operated all year or seasonally. This was achieved by collecting operational energy data for 90 Greek hotels and analyzing them using the k-means algorithm. Then a typical hotel building was modelled using TRNSYS and climate change weather files to assess the impact on its energy demand and to propose climate change mitigation strategies. The assessment was performed via hourly simulations with real climatic data for the past and generated future data for the years 2020, 2050 and 2080. The analysis of the energy data (based on utilities supply) of 90 hotels shows average consumption approx 290 kWh/m2/year for hotels with annual operation and 200 kWh/m2/year for hotels with seasonal operation. Furthermore, the hotels were classified in well separated clusters in terms of their electricity and oil consumption. The classification showed that each cluster has high average energy consumption compared to other buildings in Greece. Cooling energy demand of the typical building increased by 33% and heating energy demand decreased by 22% in 2010 compared to 1970. Cooling load is expected to rise by 15% in year 2020, 34% in year 2050 and 63% in year 2080 compared to year 1970. Heating load is expected to decrease by 14% in year 2020, 29% in year 2050 and 46% in year 2080. It was found that different strategies can be applied to all year and seasonally operated buildings for the most energy efficient performance. These include: a. For all year operated buildings: insulation, double low e glazing, intelligently controlled night and day ventilation, ceiling fans and shading. The building of year 2050 would need more shading and the building of year 2080 would need additional shading and cool materials. b. For seasonally operated buildings: Intelligently controlled night and day ventilation, cool materials, ceiling fans, shading and double low e glazing. Only the building of year 2080 would need insulation. This study makes a contribution to understanding the impact of the climate change on the energy demand of hotel buildings and proposes mitigation strategies that focus on the building envelope in different periods and climatic zones of Greece.
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Ramlakan, Alastair Justin. "Modelling of fission product release from TRISO fuel during accident conditions : benchmark code comparison / Ramlakan A." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7299.

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This document gives an overview of the proposed MSc study. The main goal of the study is to model the cases listed in the code benchmark study of the International Atomic Energy Agency CRP–6 fuel performance study (Verfondern & Lee, 2005). The platform that will be employed is the GETTER code (Keshaw & van der Merwe, 2006). GETTER was used at PBMR for the release calculations of metallic and some non–metallic long–lived fission products. GETTER calculates the transport of fission products from their point of fission to release from the fuel surface taking into account gas precursors and activation products. Results show that for certain experiments the codes correspond very well with the experimental data whilst in others there are orders of magnitude differences. It can be seen that very similar behaviour is observed in all codes. Improvements are needed in updating the strontium diffusion coefficient and in understanding, on a deeper level, the transport of silver in TRISO particles and how it deviates from simple diffusion models.
Thesis (M.Sc. Engineering Sciences (Nuclear Engineering))--North-West University, Potchefstroom Campus, 2012.
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Ertl, Felix. "Exergoeconomic Analysis and Benchmark of a Solar Power Tower with Open Air Receiver Technology." Thesis, KTH, Kraft- och värmeteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101320.

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Books on the topic "Energy benchmarks"

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Group, Primary Research. College electricity consumption benchmarks. New York?]: Primary Research Group, 2011.

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Department For Education And Skills Staff. Energy and Water Benchmarks for Maintained Schools in England. Stationery Office, The, 2002.

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Ltd, ICON Group. WILLIAMS, (CLAYTON) ENERGY, INC.: Labor Productivity Benchmarks and International Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. PRIZE ENERGY CORP (NEW): Labor Productivity Benchmarks and International Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. PRIZE ENERGY CORP (NEW): International Competitive Benchmarks and Financial Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. WILLIAMS, (CLAYTON) ENERGY, INC.: International Competitive Benchmarks and Financial Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. AMERICAN ENERGY GROUP, LTD.(THE): Labor Productivity Benchmarks and International Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group, and ICON Group International Inc. MIDAMERICAN ENERGY HOLDINGS CO. (OLD): International Competitive Benchmarks and Financial Gap Analysis. 2nd ed. Icon Group International, 2000.

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Ltd, ICON Group. AMERICAN ENERGY GROUP, LTD.(THE): International Competitive Benchmarks and Financial Gap Analysis. 2nd ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. BEC ENERGY: International Competitive Benchmarks and Financial Gap Analysis (Financial Performance Series). 2nd ed. Icon Group International, Inc., 2000.

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Book chapters on the topic "Energy benchmarks"

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Sandor, Debra, David Keyser, Margaret Mann, Jill Engel-Cox, Samantha Reese, Kelsey Horowitz, Eric Lantz, et al. "Clean Energy Manufacturing: Renewable Energy Technology Benchmarks." In Lecture Notes in Energy, 195–206. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40738-4_9.

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Hitchens, David M. W. N., Jens Clausen, and Klaus Fichter. "European Business Council for a Sustainable Energy Future — e5." In International Environmental Management Benchmarks, 246–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58442-8_22.

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Imsirovic, Adi. "The Trading and Price Discovery for Crude Oils." In The Palgrave Handbook of International Energy Economics, 327–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_18.

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AbstractWhat is the price of oil? Most oil in the world is never traded. Value of exchanged oil is set by key ‘benchmarks’ grades or baskets of crude oil that are commonly traded, both as physical and ‘paper’ barrels, in volumes many times greater than the world production. It is the derivative trades in these benchmarks such as Brent, WTI, Dubai and Oman that set the global price of oil and they are the most interesting feature of the oil market. Markets in these benchmarks are the stage on which two distinct categories of players are differentiated: the price makers and the price takers. How and why these benchmarks came to exist, how they work, interact and change over time is the subject of this chapter.
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Paukztat, Anja, and Martin Kruska. "Product-based benchmarks as a basis for the rational use of energy and corporate sustainability." In Emissions Trading, 37–48. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-73653-2_3.

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Jiménez-Pulido, Cristina, Ana Jiménez-Rivero, and Justo García-Navarro. "Strategies to Promote Deep Renovation in Existing Buildings." In Future City, 377–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71819-0_21.

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AbstractExisting buildings play a central role in achieving EU climate and energy targets. Consequently, the building sector faces the complex challenge of finding effective solutions to manage both the conservation and renovation of this stock. Given that building energy renovation has the potential to reduce greenhouse gas emissions and achieve EU targets, the European Commission has developed frameworks and regulatory instruments to foster a deep renovation approach. However, progress in achieving the necessary transformation has been slow. The objective of this chapter is to identify strategies and actions that can accelerate the sustainable transformation of the building stock. We focus on the first renovation stage in which it is critical for accurate data to be collected and processed on the state of buildings to improve decision-making processes. By overviewing current policies and instruments, and new technologies and tools applicable to existing buildings, we explore open challenges and room for improvement to fulfil their potential. In this study, we have identified upgraded instruments and tools and new benchmarks, resulting in innovative strategies and actions as drivers for a sustainable transformation. From this perspective, we introduce how more ambitious approaches can lead stakeholders to develop strategies and apply actions towards a regenerative built environment.
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Catthoor, Francky, Praveen Raghavan, Andy Lambrechts, Murali Jayapala, Angeliki Kritikakou, and Javed Absar. "Bioimaging ASIP benchmark study." In Ultra-Low Energy Domain-Specific Instruction-Set Processors, 315–72. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9528-2_11.

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Yamanaka, Masao. "Sensitivity and Uncertainty of Criticality." In Accelerator-Driven System at Kyoto University Critical Assembly, 215–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0344-0_8.

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AbstractExcess reactivity and control rod worth are generally considered important reactor physics parameters for experimentally examining the neutron characteristics of criticality in a core, and for maintaining safe operation of the reactor core in terms of neutron multiplication in the core. For excess reactivity and control rod worth at KUCA, as well as at the Fast Critical Assembly in the Japan Atomic Energy Agency, special attention is given to analyzing the uncertainty induced by nuclear data libraries based on experimental data of criticality in representative cores (EE1 and E3 cores). Also, the effect of decreasing uncertainty on the accuracy of criticality is discussed in this study. At KUCA, experimental results are accumulated by measurements of excess reactivity and control rod worth. To evaluate the accuracy of experiments for benchmarks, the uncertainty originated from modeling of the core configuration should be discussed in addition to uncertainty induced by nuclear data, since the uncertainty from modeling has a potential to cover the eigenvalue bias more than uncertainty by nuclear data. Here, to investigate the uncertainty of criticality depending on the neutron spectrum of cores, it is very useful to analyze the reactivity of a large number of measurements in typical hard (EE1) and soft (E3) spectrum cores at KUCA.
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Coronado, Juan M., and María Dolores Hernández-Alonso. "The Keys of Success: TiO2 as a Benchmark Photocatalyst." In Green Energy and Technology, 85–101. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5061-9_5.

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Symeonidis, Nikolaos, Christoforos Nalmpantis, and Dimitris Vrakas. "A Benchmark Framework to Evaluate Energy Disaggregation Solutions." In Engineering Applications of Neural Networks, 19–30. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20257-6_2.

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Young, Erik, Paul Cao, and Mike Nikolaiev. "First TPC-Energy Benchmark: Lessons Learned in Practice." In Performance Evaluation, Measurement and Characterization of Complex Systems, 136–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18206-8_11.

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Conference papers on the topic "Energy benchmarks"

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Poess, Meikel, Raghunath Othayoth Nambiar, Kushagra Vaid, John M. Stephens, Karl Huppler, and Evan Haines. "Energy benchmarks." In the 1st International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1791314.1791336.

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Costa, Georges Da, Mateusz Jarus, Thomas Zilio, and Ariel Oleksiak. "Energy- and Heat-Aware HPC Benchmarks." In 2013 International Conference on Cloud and Green Computing (CGC). IEEE, 2013. http://dx.doi.org/10.1109/cgc.2013.75.

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Jones. "CIBSE review of energy benchmarks for Display Energy Cerificates." In CIBSE Technical Symposium 2011. De Montfort University, 2011. http://dx.doi.org/10.3943/2011.0022.

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Krosman, Kazimierz, and Janusz Sosnowski. "Exploring disk performance benchmarks." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, edited by Ryszard S. Romaniuk and Maciej Linczuk. SPIE, 2017. http://dx.doi.org/10.1117/12.2280711.

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Gates, Nathaniel S., Daniel C. Hill, Blake W. Billings, Kody M. Powell, and John D. Hedengren. "Benchmarks for Grid Energy Management with Python Gekko." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9683406.

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Francisco, Abby, Neda Mohammadi, and John E. Taylor. "Evaluating Temporal Shifts in City Scale Building Energy Benchmarks." In Construction Research Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481301.045.

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Boyd, Gale. "A Statistical Approach to Plant-Level Energy Benchmarks and Baselines: The Energy Star Manufacturing-Plant Energy Performance Indicator." In Carbon Management Technology Conference. Carbon Management Technology Conference, 2012. http://dx.doi.org/10.7122/150574-ms.

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Karaguzel, Omer Tugrul, and Khee Poh Lam. "Development of whole-building energy performance models as benchmarks for retrofit projects." In 2011 Winter Simulation Conference - (WSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/wsc.2011.6147810.

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Cera, Brian M., Anthony A. Thompson, and Alice M. Agogino. "Energy-Efficient Locomotion Strategies and Performance Benchmarks using Point Mass Tensegrity Dynamics." In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. http://dx.doi.org/10.1109/iros40897.2019.8968086.

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Bertran, Ramon, Alper Buyuktosunoglu, Meeta S. Gupta, Marc Gonzalez, and Pradip Bose. "Systematic Energy Characterization of CMP/SMT Processor Systems via Automated Micro-Benchmarks." In 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO). IEEE, 2012. http://dx.doi.org/10.1109/micro.2012.27.

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Reports on the topic "Energy benchmarks"

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Sandor, Debra, Donald Chung, David Keyser, Margaret Mann, and Jill Engel-Cox. Benchmarks of Global Clean Energy Manufacturing. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1339937.

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Mathew, Paul. Metrics and Benchmarks for Energy Efficiency in Laboratories. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/919399.

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Sandor, Debbie, David Keyser, Samantha Reese, Ahmad Mayyas, Ashwin Ramdas, Tian Tian, and James McCall. Benchmarks of Global Clean Energy Manufacturing, 2014-2016. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1763977.

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Ramasamy, Vignesh, David Feldman, Jal Desai, and Robert Margolis. U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks: Q1 2021. Office of Scientific and Technical Information (OSTI), November 2021. http://dx.doi.org/10.2172/1829460.

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Ardani, Kristen, Eric O'Shaughnessy, Ran Fu, Chris McClurg, Joshua Huneycutt, and Robert Margolis. Installed Cost Benchmarks and Deployment Barriers for Residential Solar Photovoltaics with Energy Storage: Q1 2016. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1338670.

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Ramasamy, Vignesh, Jarett Zuboy, Eric O'Shaughnessy, David Feldman, Jal Desai, Michael Woodhouse, Paul Basore, and Robert Margolis. U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks, With Minimum Sustainable Price Analysis: Q1 2022. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1891204.

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Mathew, Paul, Steve Greenberg, Srirupa Ganguly, Dale Sartor, and William Tschudi. How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center Infrastructure Systems. Office of Scientific and Technical Information (OSTI), April 2009. http://dx.doi.org/10.2172/961535.

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Considine, Jennifer, Philip Galkin, and Abdullah Aldayel. Global Crude Oil Storage Index: A New Benchmark for Energy Policy. King Abdullah Petroleum Studies and Research Center, September 2022. http://dx.doi.org/10.30573/ks--2022-mp01.

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The global oil market dwarfs other commodity markets. Its size and role in the energy and industrial value chains underscore its significant economic and geopolitical impacts. Thus, the consequences of oil price fluctuations extend far beyond the oil industry and can be viewed as a barometer of trends in the global economy. Several oil price benchmarks currently compete in the global market. The most popular ones, such as Brent or West Texas Intermediate (WTI), are backed by a sufficient supply of the underlying crude. They also meet the criteria for efficient trading, hedging and speculating — including having sufficient liquidity, developed futures markets, low transaction costs and strong institutional support.
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None, None. Aluminum processing energy benchmark report. Office of Scientific and Technical Information (OSTI), February 2007. http://dx.doi.org/10.2172/1216245.

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Author, Not Given. National Energy Software Center: Benchmark problem book. Office of Scientific and Technical Information (OSTI), December 1985. http://dx.doi.org/10.2172/6978654.

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