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35 results for “Energy saving”
Design of Multifunctional Composites: New Strategy to Save Energy and Improve Mechanical Performance
<p>dataset on </p> <p>Dynamic Mechanical Analysis, Electro-Mechanical Measurement, Dynamic Light Scattering</p> <p>FTIR spectroscopy, Thermogravimetric analysis, Differential Scanning Calorimetry,</p> <p>Electro-Temperature Measurement, Thermal Image Camera, Water sorption measurement,</p> <p>Transmission Electron Microscopy and Stress Strain</p>
Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol."
<p>DATASET suporting: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol."</p> <p>Piccinini, Alessandro; Hajdukiewicz, Magdalena; D'Angelo, Letizia; Blanes, Luis Miguel; Keane, Marcus M.</p> <p>This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a ResistorCapacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters’ needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.</p>
Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research - Dataset
<p>In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a significant contribution to energy conservation efforts. For example, if we could save only 5% of the energy used by web apps, we estimate that it would be enough to shut down one of the nuclear reactors in Fukushima. This paper presents a comprehensive overview of energy-saving experiments and related approaches for mobile web apps, relevant for researchers and practitioners. To achieve this objective, we conducted a systematic literature review and identified 44 primary studies for inclusion. Through the mapping and analysis of scientific papers, this work contributes: (1) an overview of the energy-draining aspects of mobile web apps, (2) a comprehensive description of the methodology used for the energy-saving experiments, and (3) a categorization and synthesis of various energy-saving approaches.</p>
CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 5% of energy saved for upward regulation
<p>The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost.</p> <p>This dataset contains the results of the market participation algorithm running for a week, configured for offering 5% of the forecasted energy for upward regulation.</p> <p>Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece.</p> <p>For each country, hour by hour, the following information is provided:</p> <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>
CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 20% of energy saved for upward regulation
<p>The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost.</p> <p>This dataset contains the results of the market participation algorithm running for a week, configured for offering 20% of the forecasted energy for upward regulation.</p> <p>Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece.</p> <p>For each country, hour by hour, the following information is provided:</p> <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 1. The whole-building switch concept for the power lines of standby devices
<p>68 million houses in North America and Europe will be smart by 2019 (Kurkinen, 2016) with a compound annual growth rate of 37 % and 61 %, respectively. The smart equipment is usually installed together with an upgrade (e.g. aluminum wires are replaced by copper ones) of the power grid. In this case, additional power lines for standby devices are cabled, and the WBS concept is applied using one power switch only (see figure 1). For instance, the Songle high-power relay T90 can control the whole building electricity with load up to 30 A using NodeMcu Lua ESP8266 WiFi and/or Arduino Uno / Mega boards.</p>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 3. The unified hardware unit based on NodeMcu Lua ESP8266 WiFi development board, ACS712T ELC-30A current sensor, and relay SRD-05VDC-SL-C
<p>The software consists of two parts, low-level Arduino sketches and high-level C# Windows form appplication. They are connected using the open-source message MQTT broker Mosquitto.11 Every hardware unit has the unique identifier and commands to control the relay. The MQTT topic “/VPP/Relays” is used by subscribers and publishers. The number “50” sent from C# Windows form (it equals number “2” sent from the standard Mosquitto publisher) is a command to switch on the second relay, “51” (“3”) – to switch off, respectively. The prototype was developed with one root controller and two descendant relays. The commands are as follows: “52” (“4”) / “53” (“5”) – to switch on / off the first relay, “54” (“6”) / “55” (“7”) – to switch on / off the third relay, respectively. This solution is similar to the one presented in [22], but ACS712T ELC-30A current sensor and ESP8266WiFi.h library are applied here. In addition, other commands, e.g. “56” (“8”) to get the value of the current in the 3rd segment, are in use as well.</p>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 5. An example of smart lighting using NodeMcu Lua ESP8266 ESP-12 WiFi board
<p> for different purposes together with switching on/off relays, e.g. to control the motors, to acquire the data from sensors. It allows developing multifunctional smart systems. For instance, the smart lighting unit is created using NodeMcu Lua ESP8266 ESP-12 WiFi board, Arduino light sensor, and relay SRD-05VDC-SL-C, which controls the power supply of the lamp. Figure 5 shows a simplified example of smart lighting, where the lamp is represented by eight 5 mm light-emitting diodes (LEDs).</p>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 4. Screen shot of the C# Windows form app
<p>The screen shot of the C# Windows form app is shown in figure 4. The text field on the left side includes numbers from 2 to 7, which are commands to control the states of relays. </p>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 2. An example of smart power grid with hierarchical structure
<p> Figure 2 shows an example of smart power grid with hierarchical structure, where every segment equals a room or office. This approach is similar to the idea presented in Alboteanu et al. (2015), where the connecting / disconnecting of renewable energy sources and consumers are made via the appropriate contactors, automatically (or manually) controlled according to the energy consumption/generation. However, the management of micro smart grid is discussed in Alboteanu et al. (2015) only</p>
Energy Saving from Reduced building Consumption in Valladolid city
<p>Climate change can cause overheating in city centers, especially through the “heat island effect”. Green urban infrastructure can play a role in climate change adaptation through reducing air and surface temperature by providing shading and enhancing evapo-transpiration, which leads to energy and carbon savings from reduced building energy consumption especially in summer. On the other hand, insulating effect of plants reduces heating energy consumption and associated carbon emissions in winter. </p> <p>This indicator was calculated for the UrbanGreenUP monitoring program. </p>
Energy Savings Related to Green Infrastructure in Valladolid city
<p>Improved green infrastructure results in energy savings through a variety of mechanisms. These include:</p> <ul> <li>Reducing the need to heat buildings by insulating them against the cold</li> <li>Reducing the need to cool buildings by insulating them against the heat</li> <li>Reducing the volume of stormwater entering the sewer system, thus reducing energy consumption in sewage processing</li> </ul> <p>The energy savings resulting from these three mechanisms are estimated by GI-Val <a href="#_ftn1">[</a><a href="https://www.merseyforest.org.uk/gi-val/">https://www.merseyforest.org.uk/gi-val/</a><a href="#_ftn1">]</a> tools 1.1, 1.5 and 2.1 respectively. </p>
Hummingbird torpor in context: duration, more than temperature, is the key to nighttime energy savings
Torpor is an important energy saving strategy in some small birds, but it has rarely been studied in natural field conditions. We compared torpor use across 43 wild-caught individuals of eight hummingbird species across sites with different natural temperature regimes. Most laboratory studies focus on the relationship between metabolic rate and temperature, but our aim was to evaluate what environmental factors most influence hummingbird nighttime energy management under natural conditions. We found that the probability of an individual entering torpor was weakly correlated with mass but unrelated to nighttime temperature and that hummingbirds at both warm, tropical and cooler, temperate sites used torpor. Energy savings in torpor were maximized as ambient temperatures approached a species' minimum body temperature, consistent with laboratory studies; energy savings ranged between 65-92% of energy per hour in torpor compared to normothermy. However, regardless of the degree of energy savings in torpor, variation in total nighttime energy expenditure was most significantly influenced by torpor bout duration. Lab studies largely assess the effect of temperature on torpor use, but our findings indicate that other environmental conditions are more important in determining hummingbirds' total nighttime energy expenditure under natural temperature cycles. Our results show that a small endotherm's nighttime energy management in its natural habitat is more affected by torpor bout duration, which is linked to photoperiod, than by temperature. This result suggests that in their natural environments hummingbirds are able to save energy in torpor across a range of nighttime temperatures, indicating that they may have sufficient physiological flexibility to tolerate climatic variation.
Compiled dataset related to "Natural gas savings in Germany during the 2022 energy crisis"
<p>This dataset has been generated and used for the publication:</p> <blockquote> <p>Ruhnau, O., Stiewe, C., Muessel, J., Hirth, L., 2023. Natural gas savings in Germany during the 2022 energy crisis. Nature Energy. DOI: <a href="https://doi.org/10.1038/s41560-023-01260-5">10.1038/s41560-023-01260-5</a></p> </blockquote> <p>The corresponding code is published on <a href="https://github.com/oruhnau/gas_savings">GitHub</a>.</p> <p>The dataset includes:</p> <ol> <li>Compiled data in a daily resolution</li> <li>Compiled data in a monthly resolution</li> </ol>
Metabolic Cost Savings for Transtibial Amputees Wearing the Controlled Energy Storage and Return (CESR) Foot
ClinicalTrials.gov study NCT00494143. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Hummingbird torpor in context: duration, more than temperature, is the key to nighttime energy savings
Open the record for dataset details and reuse information.
RIBuild: Energy saving potential, LCA and LCC - case studies
<p>Data set from</p> <p>(1) Danish, Latvian and Italian desk-top case studies on energy saving potential, including description and output from building simulation using national simulation tools, referring to RIBuild Task 5.1.</p> <p>(2) LCA and LCC analyses on Italian case study, referring to RIBuild Task 5.2 and 5.3.</p> <p>Overview of data files to be found in ’RIBuild data WP5 Case studies’ as part of this dataset.</p> <p>Further details to be found in RIBuild deliverable D5.1 (Task 5.1 and 5.2) and D5.2 (Task 5.3).</p>
Development of strategy for combined smart ventilated window and PCM energy storage control for residential building energy saving
<p>The dataset includes the published data in the article Development of strategy for combined smart ventilated window and PCM energy storage control for residential building energy saving. For the details of the data description please refer to the paper.</p>
Primary Fossil Energy Use and Costs as used for "Savings and Avoided Costs of Living Carbon Negative"
<p>This Excel file provides the primary fossil energy use and costs data and calculations as used for "Savings of Living Carbon Negative".</p>
Data from: Early mortality saves energy: estimating the energetic cost of excess offspring in a seabird
Open the record for dataset details and reuse information.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.