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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 217 records · Page 12
All sourcesNASA NTRSDOE OSTI
DOE OSTI2017

Electric Power Consumption Coefficients for U.S. Industries: Regional Estimation and Analysis

Economic activity relies on electric power provided by electrical generation, transmission, and distribution systems. This paper presents a method developed at Los Alamos National Laboratory to estimate electric power consumption by different industries in the United States. Results are validated through comparisons with existing literature and benchmarking data sources. We also discuss the limitations and applications of the presented method, such as estimating indirect electric power consumption and assessing the economic impact of power outages based on input-output economic models.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2019

Pelleting of Pine and Switchgrass Blends: Effect of Process Variables and Blend Ratio on the Pellet Quality and Energy Consumption

The blending of woody and herbaceous biomass can influence pellet quality and the energy consumption of the process. This work aims to understand the pelleting characteristics of 2-inch top-pine residue blended with switchgrass at high moisture content. The process variables tested are blend moisture content, length-to-diameter (L/D) ratio in the pellet die, and the blend ratio. A flat die pellet mill was also used in this study. The pine and switchgrass blend ratios that were tested include: (1) 25% 2-inch top pine residue with 75% switchgrass; (2) 50% 2-inch top pine residue with 50% switchgrass; and (3) 75% 2-inch top pine residue with 25% switchgrass. The pelleting process conditions tested included the L/D ratio in the pellet die (i.e., 1.5 to 2.6) and the blend moisture content (20 to 30%, w.b.). Analysis of experimental data indicated that blending 25% switchgrass with 75% 2-inch top pine residue and 50% switchgrass with 50% 2-inch top pine residue resulted in pellets with a bulk density of > 550 kg/m3 and durability of > 95%. Optimization of the response surface models developed for process conditions in terms of product properties indicated that a higher L/D ratio of 2.6 and a lower blend-moisture content of 20% (w.b.) maximized bulk density and durability. Higher pine in the blends improved the pellet durability and reduced energy consumption.

09 BIOMASS FUELS↗
DOE OSTI2021

Canadian Oil Sands Extraction and Upgrading: A Synthesis of the Data on Energy Consumption, CO 2 Emissions, and Supply Costs

As Canadian crude bitumen production from oil sands has increased in recent decades, the nation’s oil and gas industry has become a significant contributor to national greenhouse gas emissions. Canada has developed carbon emission reduction targets to meet its Nationally Determined Contributions and Mid-Century Strategy goals. A detailed profile of energy consumption pathways in the oil sands industry is necessary to identify potential areas of improvement and to monitor progress toward meeting emissions reduction targets. Much of the existing literature for oil sands modeling provides input assumptions with different technological boundaries. For a set of oil sands extraction and upgrading technologies, this study first reviews the literature and then quantifies energy input requirements, CO 2 emissions, and operating costs for a set of consistent technological boundaries and energy units. Summary results refer to requirements and costs at the production facility, excluding transportation and blending costs. An energy system diagram of oil sands production that matches these boundaries is provided, which can be used by integrated assessment models, oil sands companies, and government ministries to evaluate the present and future energy consumption and emissions pathways of the oil sands industry.

02 PETROLEUM↗
DOE OSTI2018

Electric Technology Adoption and Energy Consumption

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https//www.nrel.gov/docs/fy18osti/70485.pdf.

2017-2050↗
DOE OSTI2016

Controlled cooling of an electronic system for reduced energy consumption

Energy efficient control of a cooling system cooling an electronic system is provided. The control includes automatically determining at least one adjusted control setting for at least one adjustable cooling component of a cooling system cooling the electronic system. The automatically determining is based, at least in part, on power being consumed by the cooling system and temperature of a heat sink to which heat extracted by the cooling system is rejected. The automatically determining operates to reduce power consumption of the cooling system and/or the electronic system while ensuring that at least one targeted temperature associated with the cooling system or the electronic system is within a desired range. The automatically determining may be based, at least in part, on one or more experimentally obtained models relating the targeted temperature and power consumption of the one or more adjustable cooling components of the cooling system.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2017

IN2 Profile: Reducing Energy Consumption through Thermolift’s Heating and Cooling System

Through the Wells Fargo Innovation Incubator (IN²) program, Thermolift will have the opportunity to take their natural gas based air conditioning and heat pump technology and apply it to commercial and residential applications, and reduce fuel consumption between 30-50% while helping to balance the energy grid demand. The IN² program launched in October 2014 and is part of Wells Fargo’s 2020 Environmental Commitment to provide $100 million to environmentally-focused nonprofits and universities. The goal is to create an ecosystem that fosters and accelerates the commercialization of promising commercial buildings technologies that can provide scalable solutions to reduce the energy impact of buildings. According to the Department of Energy, nearly 40 percent of energy consumption in the U.S. today comes from buildings at an estimated cost of $413 billion.

03 NATURAL GAS↗
DOE OSTI2018

Controlled cooling of an electronic system for reduced energy consumption

Energy efficient control of a cooling system cooling an electronic system is provided. The control includes automatically determining at least one adjusted control setting for at least one adjustable cooling component of a cooling system cooling the electronic system. The automatically determining is based, at least in part, on power being consumed by the cooling system and temperature of a heat sink to which heat extracted by the cooling system is rejected. The automatically determining operates to reduce power consumption of the cooling system and/or the electronic system while ensuring that at least one targeted temperature associated with the cooling system or the electronic system is within a desired range. The automatically determining may be based, at least in part, on one or more experimentally obtained models relating the targeted temperature and power consumption of the one or more adjustable cooling components of the cooling system.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2021

Data-driven estimation of energy consumption for electric bus under real-world driving conditions

Reliable and accurate estimation of an electric bus’s instantaneous energy consumption is critical in evaluating energy impacts of planning and control of electric bus operations. In this study, we developed machine learning-based long short-term memory (LSTM) and artificial neural network (ANN) models to estimate 1 Hz energy consumption of electric buses based on continuous monitoring data of electric buses in Chattanooga, Tennessee, in 2019 and 2020. We propose a data-partitioning algorithm to separate energy charging and discharging modes before applying data-driven estimation models. Here, a K-fold cross-validation-based model selection process was conducted to identify the optimal model structure and input variables in terms of prediction accuracy. The estimation results show the predicted mean absolute percentage error rates of LSTM and ANN models were 3% and 5%, respectively. We compared the proposed models with existing models in the literature based on the same testing data to demonstrate the predictability of our models.

Artificial neural network↗
DOE OSTI2015

Estimation of SNF amount from various scenarios of power consumption prediction in South Korea - 15394

The Korean government is reviewing the methodology for every condition such as treatment, storage, disposal for the management of spent fuel. In order to establish the control policy of spent fuel, it is necessary to predict how much spent fuel is produced as the time changes. In this thesis the spent fuel production amount was predicted with the basis of the forecast number of the nuclear power plant. Until 2024 the construction plan was applied and until 2035 the number was predicted considering the ratio of nuclear power production. From 2035 to 2100, long term assessment was done assuming the energy consumption in different cases to calculate the necessary power production and then the amount was applied to the of the current power plant production rate to calculate the power production amount by nuclear power plant and the number of necessary nuclear power plants. As the estimated number of the operated power plants of each year and period is correlated with the nuclear power production amount, the main factors of the assessment were spent fuel production amount, the number of operated nuclear power plant, power consumption amount, power production amount, and the proportion of the nuclear power plant to assess. In long-term view the spent fuel production amount differed highly depending on the different conditions so it's thought to be necessary to establish policies after predicting the spent fuel production amount by every case for the management plan of spent fuel. (authors)

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
DOE OSTI2024

From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption

Accurate short-term energy consumption forecasting for commercial buildings is crucial for smart grid operations. While smart meters and deep learning models enable forecasting using past data from multiple buildings, data heterogeneity from diverse buildings can reduce model performance. The impact of increasing dataset heterogeneity in time series forecasting, while keeping size and model constant, is understudied. We tackle this issue using the ComStock dataset, which provides synthetic energy consumption data for U.S. commercial buildings. Two curated subsets, identical in size and region but differing in building type diversity, are used to assess the performance of various time series forecasting models, including finetuned open-source foundation models (FMs). The results show that dataset heterogeneity and model architecture have a greater impact on post-training forecasting performance than the parameter count. Moreover, despite the higher computational cost, finetuned FMs demonstrate competitive performance compared to base models trained from scratch.

commercial buildings↗
DOE OSTI2018

Effects of vulture exclusion on carrion consumption by facultative scavengers

Abstract Vultures provide an essential ecosystem service through removal of carrion, but globally, many populations are collapsing and several species are threatened with extinction. Widespread declines in vulture populations could increase the availability of carrion to other organisms, but the ways facultative scavengers might respond to this increase have not been thoroughly explored. We aimed to determine whether facultative scavengers increase carrion consumption in the absence of vulture competition and whether they are capable of functionally replacing vultures in the removal of carrion biomass from the landscape. We experimentally excluded 65 rabbit carcasses from vultures during daylight hours and placed an additional 65 carcasses that were accessible to vultures in forested habitat in South Carolina, USA during summer (June–August). We used motion‐activated cameras to compare carrion use by facultative scavenging species between the experimental and control carcasses. Scavenging by facultative scavengers did not increase in the absence of competition with vultures. We found no difference in scavenger presence between control carcasses and those from which vultures were excluded. Eighty percent of carcasses from which vultures were excluded were not scavenged by vertebrates, compared to 5% of carcasses that were accessible to vultures. At the end of the 7‐day trials, there was a 10.1‐fold increase in the number of experimental carcasses that were not fully scavenged compared to controls. Facultative scavengers did not functionally replace vultures during summer in our study. This finding may have been influenced by the time of the year in which the study took place, the duration of the trials, and the spacing of carcass sites. Our results suggest that under the warm and humid conditions of our study, facultative scavengers would not compensate for loss of vultures. Carcasses would persist longer in the environment and consumption of carrion would likely shift from vertebrates to decomposers. Such changes could have substantial implications for disease transmission, nutrient cycling, and ecosystem functioning.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2023

Oxygen consumption of sexually mature adult, first-feeding larval, and yearling Pacific Lampreys

Abstract Objective The Pacific Lamprey Entosphenus tridentatus is considered a first food of Native American tribes, such as the Confederated Tribes of the Umatilla Indian Reservation. Populations of this imperiled species have declined such that harvest for traditional use is limited. As a result, propagation and culture of Pacific Lampreys have been initiated to supply animals for restoration and recovery efforts. These efforts require transport and periodic holding of both adults and larvae under static (no-flow) conditions. Hence, guidelines for ensuring an adequate oxygen supply are needed for all life stages of this species. Methods We measured oxygen consumption rates of mature adults, first-feeding larvae, and yearlings under static conditions at 12–15°C. In addition, we recorded indicators of stress during hypoxia for adults and estimated routine respiration rates during and after larval feeding. Result Adults exhibited surprisingly high metabolic rates when at rest in static chambers. At 12°C, a single adult typically reduced dissolved oxygen levels in 10 L to <2 mg/L in just 90 min (oxygen consumption rates of 100–200 mg/kg/h). Adults often started to climb the walls of open chambers when dissolved oxygen levels approached 2 mg/L, allowing them to raise their branchiopores into air. Larvae remained quiescent, even when oxygen levels dropped below 1 mg/L, and costs of feeding increased routine respiration by 22–56%. Conclusion Based on these observations, we recommend that adult Pacific Lampreys always be transported in aerated containers and with access to air at the top of the tank. Although larvae exhibited hypoxia tolerance, care should be taken to ensure adequate oxygen availability, particularly during and immediately after feeding.

Moser, Mary↗
DOE OSTI2014

Analyzing the Energy and Power Consumption of Remote Memory Accesses in the OpenSHMEM Model

PGAS models like OpenSHMEM provide interfaces to explicitly initiate one-sided remote memory accesses among processes. In addition, the model also provides synchronizing barriers to ensure a consistent view of the distributed memory at different phases of an application. The incorrect use of such interfaces affects the scalability achievable while using a parallel programming model. This study aims at understanding the effects of these constructs on the energy and power consumption behavior of OpenSHMEM applications. Our experiments show that cost incurred in terms of the total energy and power consumed depends on multiple factors across the software and hardware stack. We conclude that there is a significant impact on the power consumed by the CPU and DRAM due to multiple factors including the design of the data transfer patterns within an application, the design of the communication protocols within a middleware, the architectural constraints laid by the interconnect solutions, and also the levels of memory hierarchy within a compute node. This work motivates treating energy and power consumption as important factors while designing compute solutions for current and future distributed systems.

Jana, Siddhartha↗
DOE OSTI2017

A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts

A first of its kind, this study develops a framework to quantify the fuel consumption and greenhouse gas emission impacts of an Automated Small Vehicle Transit system on a campus area. The results show that the automated mobility district system has the potential to reduce transportation system fuel consumption and greenhouse gas emissions, but the benefits are largely dependent on the operation and ridership of the personal rapid transit system. Our study calls for more research to understand the energy and environmental benefits of such a system.

33 ADVANCED PROPULSION SYSTEMS↗
DOE OSTI2015

High fructose consumption induces DNA methylation at PPARα and CPT1A promoter regions in the rat liver

DNA methylation status is affected by environmental factors, including nutrition. Fructose consumption is considered a risk factor for the conditions that make up metabolic syndrome such as dyslipidemia. However, the pathogenetic mechanism by which fructose consumption leads to metabolic syndrome is unclear. Based on observations that epigenetic modifications are closely related to induction of metabolic syndrome, we hypothesized that fructose-induced metabolic syndrome is caused by epigenetic alterations. Male SD rats were designated to receive water or 20% fructose solution for 14 weeks. mRNA levels for peroxisome proliferator-activated receptor alpha (PPARα) and carnitine palmitoyltransferase 1A (CPT1A) was analyzed using Real-time PCR. Restriction digestion and real-time PCR (qAMP) was used for the analysis of DNA methylation status. Hepatic lipid accumulation was also observed by fructose intake. Fructose feeding also significantly decreased mRNA levels for PPARα and CPT1A. qAMP analysis demonstrated the hypermethylation of promoter regions of PPARα and CTP1A genes. Fructose-mediated attenuated gene expression may be mediated by alterations of DNA methylation status, and pathogenesis of metabolic syndrome induced by fructose relates to DNA methylation status. - Highlights: • No general consensus has been reached regarding the molecular mechanisms of the pathogenesis of fructose-induced diseases. • Significant increase in hepatic total methylation level was observed after fructose-supplemented feeding. • Fructose feeding significantly decreased mRNA levels for PPARα and CPT1A. • qAMP analysis demonstrated the hypermethylation of promoter regions of PPARα and CTP1A genes. • Fructose-mediated attenuated gene expression may be mediated by alterations of DNA methylation status in rat liver.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

Consumer response to health and environmental sustainability information regarding seafood consumption

Highlights: • Five segments were identified based on intentions towards healthy and sustainable seafood choice. • Attitudes towards messages combining health and sustainability are generally favourable. • Risk/benefit perception and perceived consumer effectiveness are affected by message exposure. • Communication emphasizing the link between health and sustainability related to seafood is recommended. Seafood consumption has an impact on both consumers’ health and on the marine environment, making the integration of health and sustainability aspects in information and recommendation messages for consumers highly topical. This study presents the results of a consumer study in terms of the impact of exposure to a message about health and sustainability aspects of seafood on 986 participants from Belgium and Portugal. Possible drivers for behavioural change regarding seafood consumption frequency and sustainable seafood buying frequency are studied following exposure to the message. Initial behaviour emerges as the most important factor triggering a change in the intention to consume seafood twice per week and a change in the intention to buy sustainable seafood. A higher health benefit perception resulted in an increased intention to consume seafood twice per week. Attitude towards the message and the option to optimise consumers’ choice of seafood species favouring sustainability were significant determinants of change in the intention to buy sustainable seafood. Different stakeholders may take the results of this communication strategy into account and, consequently, contribute to a seafood supply and related communication that supports public health and the marine environment.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2020

Automotive fuel cell stack and system efficiency and fuel consumption based on vehicle testing on a chassis dynamometer at minus 18 °C to positive 35 °C temperatures

In this work we present an in-depth laboratory technology assessment of a 2016 Toyota Mirai Fuel Cell (FC) vehicle based on chassis dynamometer testing. The 114.6 kW FC stack has a high dynamic response, which makes this powertrain a FC-dominant hybrid electric vehicle. The measured peak efficiency is 66.0% FC stack and 63.7% FC system with an idle hydrogen flow rate of 4.39 g/hr. The high FC system efficiencies at low loads match typical vehicle power spectrums, resulting in a high average vehicle efficiency of 62% compared to 45% and 23% for a hybrid electric vehicle and a conventional vehicle, respectively. An energy breakdown accounts for the FC stack losses, FC system losses, air compressor loads, and heater loads for different drive cycles and different thermal conditions. The cold-start North American city drive cycle (UDDS) energy consumption values are, respectively, 758, 581, 226, and 321 Wh/km at ambient conditions of -18 degrees C, -7 degrees C, -25 degrees C and 35 degrees C with 850 W/m 2 of solar loading. The FC system shutdown and startup processes at temperatures below the freezing point contribute to the increased hydrogen consumption. Additionally, the raw test data files are available for download, thus providing the research community with a public reference data on a modern production automotive FC system.

08 HYDROGEN↗
DOE OSTI2015

Consumption study and identification of methyl salicylate in spicy cassava chips

Spicy cassava chips is a popular snack. However, some news in electronic media reported addition of balsam which is a banned food additives in that product to give extra spicy flavor. This study aimed to determine ITB students’ pattern of consumption, health problems caused by spicy chips consumption, and knowledge about illicit use of food additives in that product, and identify the main content of balsam namely methyl salicylate in 10 samples of spicy cassava chips taken from inside and outside about ITB campus. A total of 300 questionnaires distributed to ITB students then data processing was performed. Spicy cassava chips sample macerated in 50 mL of methanol for 24 hours at room temperature, filtered and analyzed using gas chromatography capillary column with OV-1, nitrogen carrier gas and flame ionization detector. Based on questionnaires, 292 (97%) of 300 respondents had consumed spicy chips. A total of 247 (85%) from 292 respondents spicy chips consumed less than 3 times a week. A total of 195 respondents (67%) had experienced health problems after eating spicy chips. There were 137 (47%) of the 292 respondents who knew about the illicit addition of food additives into spicy chips; only 35 respondents (12%) who knew about balsam’s addition. There were 126 respondents (43%) who did not pay attention to their health because they will keep eating spicy chips despite the addition of banned food additives. Through the verification of the standard addition method in gas chromatography system with a hydrogen pressure of 1.5 bar, injector temperature 200 °C, detector temperature 230 °C, oven temperature 60 °C for 2 minutes and then increased to 230 °C with rate 6 °C/menit; linearity, limit of detection, limit of quantitation, accuracy, precision, and specificity parameters met the acceptance limits. From 10 spicy cassava chips samples which were analyzed, they did not reveal any content of methyl salicylate. Methyl salicylate contained in the positive control was 1.273 mg/mL.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗