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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 613 records · Page 34
All sourcesNASA NTRSDOE OSTI
DOE OSTI2013

Close Look at Hybrid Vehicle Loyalty and Ownership

In a news release dated April 9, 2012, Polk stated that only 35% of hybrid owners bought a hybrid again when they returned to market in 2011. These findings were based on an internal study conducted by Polk. The study also indicated that if repurchase behavior among the high volume audience of Toyota Prius owners wasn t factored in; hybrid loyalty would drop to under 25%. This news release has generated a lot of interest and concern by the automobile industry as well as consumers, since it was published, and caused many to think about the idea of hybrid loyalty as well as factors that influence consumers. Most reactions to the 35% hybrid loyalty dealt with concerns of the viability of hybrid technology as part of the solution to address transportation energy challenges. This paper attempts to shed more light on Polk s hybrid loyalty study as well as explore several information sources concerning hybrid loyalty status. Specifically, major factors that might impact the selection and acquisition of hybrid vehicles are addressed. This includes investigating the associations between hybrid market shares and influencing factors like fuel price and hybrid incentives, as well as the availability of hybrid models and other highly fuel efficient vehicle options. This effort is not in-depth study, but rather a short study to see if Polk s claim could be validated. This study reveals that Polk s claim was rather misleading because its definition of loyalty was very narrow. This paper also suggests that Polk s analysis failed to account for some very important factors, raising the question of whether it is fair to compare a vehicle drive train option (which hybrids are) with a vehicle brand in terms of loyalty and also raises the question of whether hybrid loyalty is even a valid point to consider. This report maintains that Polk s study does not prove that hybrid owners were dissatisfied with their vehicles, which was a common theme among reporting news agencies when Polk initially released their findings. In this brief review, the team has looked at factors that might contribute to a consumer choosing to not purchase a hybrid; including the increase in manufacture s overall vehicle mpg and the percentage of the vehicle market owned by hybrids.

Hwang, Ho-Ling↗
DOE OSTI2012

Electrical energy consumption control apparatuses and electrical energy consumption control methods

Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2014

Improving energy efficiency of Embedded DRAM Caches for High-end Computing Systems

With increasing system core-count, the size of last level cache (LLC) has increased and since SRAM consumes high leakage power, power consumption of LLCs is becoming a significant fraction of processor power consumption. To address this, researchers have used embedded DRAM (eDRAM) LLCs which consume low-leakage power. However, eDRAM caches consume a significant amount of energy in the form of refresh energy. In this paper, we propose ESTEEM, an energy saving technique for embedded DRAM caches. ESTEEM uses dynamic cache reconfiguration to turn-off a portion of the cache to save both leakage and refresh energy. It logically divides the cache sets into multiple modules and turns-off possibly different number of ways in each module. Microarchitectural simulations confirm that ESTEEM is effective in improving performance and energy efficiency and provides better results compared to a recently-proposed eDRAM cache energy saving technique, namely Refrint. For single and dual-core simulations, the average saving in memory subsystem (LLC+main memory) on using ESTEEM is 25.8% and 32.6%, respectively and average weighted speedup are 1.09X and 1.22X, respectively. Additional experiments confirm that ESTEEM works well for a wide-range of system parameters.

cache reconfiguration↗
DOE OSTI2015

Effects of Home Energy Management Systems on Distribution Utilities and Feeders Under Various Market Structure; NREL (National Renewable Energy Laboratory)

The combination of distributed energy resources (DER) and retail tariff structures to provide benefits to both utility consumers and the utilities is not well understood. To improve understanding, an Integrated Energy System Model (IESM) is being developed to simulate the physical and economic aspects of DER technologies, the buildings where they reside, and feeders servicing them. The IESM was used to simulate 20 houses with home energy management systems on a single feeder under a time-of-use (TOU) tariff to estimate economic and physical impacts on both the households and the distribution utilities. Home energy management systems (HEMS) reduce consumers’ electric bills by precooling houses in the hours before peak electricity pricing. Utilization of HEMS reduce peak loads during high price hours but shifts it to hours with off-peak and shoulder prices, resulting in a higher peak load. used to simulate 20 houses with home energy management systems on a single feeder under a time-of-use (TOU) tariff to estimate economic and physical impacts on both the households and the distribution utilities. Home energy management systems (HEMS) reduce consumers’ electric bills by precooling houses in the hours before peak electricity pricing. Utilization of HEMS reduce peak loads during high price hours but shifts it to hours with off-peak and shoulder prices, resulting in a higher peak load.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2011

Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

FEG↗
DOE OSTI2012

Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

FEG↗
DOE OSTI2013

Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

biodiesel↗
DOE OSTI2014

Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

biodiesel↗
DOE OSTI2015

Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

biodiesel↗
DOE OSTI2016

My Green Car: The Adventure Begins (Ep. 1) – DOE Lab-Corps Video Series

One key difference between a great technology that stays in the lab and one that reaches the marketplace is customer interest. In Episode 1, the Lab’s MyGreenCar team gets ready to step outside the lab and test their technology’s value to consumers in a scientific way. What makes a new technology compelling enough to transition out of the lab and become a consumer product? That’s the question Berkeley Lab researchers Samveg Saxena, Nihar Shah, and Dana Hansen plus industry mentor Russell Carrington set out to answer for MyGreenCar, an app providing personalized fuel economy or electric vehicle range estimates for consumers researching new cars. DOE’s Lab-Corps program offered the technology team some answers. The EERE-funded program, based on the National Science Foundation’s I-Corps™ model for entrepreneurial training, provides tools and training to move energy-related inventions to the marketplace. During Lab-Corp’s intensive six-week session, technology teams interview 100 customer and value chain members to discover which potential products based on their technologies will have significant market pull. A six video series follows the MyGreenCar team’s Lab-Corps experience, from pre-training preparation with the Lab’s Innovation and Partnerships Office through the ups and downs of the customer discovery process. Will the app make it to the marketplace? You’ll just have to watch.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2016

My Green Car: Painting Motor City Green (Ep. 2) – DOE Lab-Corps Video Series

The Lab’s MyGreenCar team kicks off its customer discovery process in Detroit with a business boot camp designed for scientists developing energy-related technologies. Customer interviews lead to late night discussions and insights on less-than-receptive consumers. Back in Berkeley, the team decides to fine tune targeted customer segments. What makes a new technology compelling enough to transition out of the lab and become a consumer product? That’s the question Berkeley Lab researchers Samveg Saxena, Nihar Shah, and Dana Hansen plus industry mentor Russell Carrington set out to answer for MyGreenCar, an app providing personalized fuel economy or electric vehicle range estimates for consumers researching new cars. DOE’s Lab-Corps program offered the technology team some answers. The EERE-funded program, based on the National Science Foundation’s I-Corps™ model for entrepreneurial training, provides tools and training to move energy-related inventions to the marketplace. During Lab-Corp’s intensive six-week session, technology teams interview 100 customer and value chain members to discover which potential products based on their technologies will have significant market pull. A six video series follows the MyGreenCar team’s Lab-Corps experience, from pre-training preparation with the Lab’s Innovation and Partnerships Office through the ups and downs of the customer discovery process. Will the app make it to the marketplace? You’ll just have to watch.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2016

My Green Car: Taking it to the Streets (Ep. 3) – DOE Lab-Corps Video Series

The researcher team finds enthusiastic consumers at familiar Berkeley hangouts. Then Industry Mentor Russell Carrington pushes the group to consider who will pay for the information the fuel economy app provides. What makes a new technology compelling enough to transition out of the lab and become a consumer product? That’s the question Berkeley Lab researchers Samveg Saxena, Nihar Shah, and Dana Hansen plus industry mentor Russell Carrington set out to answer for MyGreenCar, an app providing personalized fuel economy or electric vehicle range estimates for consumers researching new cars. DOE’s Lab-Corps program offered the technology team some answers. The EERE-funded program, based on the National Science Foundation’s I-Corps™ model for entrepreneurial training, provides tools and training to move energy-related inventions to the marketplace. During Lab-Corp’s intensive six-week session, technology teams interview 100 customer and value chain members to discover which potential products based on their technologies will have significant market pull. A six video series follows the MyGreenCar team’s Lab-Corps experience, from pre-training preparation with the Lab’s Innovation and Partnerships Office through the ups and downs of the customer discovery process. Will the app make it to the marketplace? You’ll just have to watch.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2015

Estimating Reduced Consumption for Dynamic Demand Response

Growing demand is straining our existing electricity generation facilities and requires active participation of the utility and the consumers to achieve energy sustainability. One of the most effective and widely used ways to achieve this goal in the smart grid is demand response (DR), whereby consumers reduce their electricity consumption in response to a request sent from the utility whenever it anticipates a peak in demand. To successfully plan and implement demand response, the utility requires reliable estimate of reduced consumption during DR. This also helps in optimal selection of consumers and curtailment strategies during DR. While much work has been done on predicting normal consumption, reduced consumption prediction is an open problem that is under-studied. In this paper, we introduce and formalize the problem of reduced consumption prediction, and discuss the challenges associated with it. We also describe computational methods that use historical DR data as well as pre-DR conditions to make such predictions. Our experiments are conducted in the real-world setting of a university campus microgrid, and our preliminary results set the foundation for more detailed modeling.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2016

Model Year 2017 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

biodiesel↗
DOE OSTI2017

Model Year 2018 Fuel Economy Guide: EPA Fuel Economy Estimates

The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

biodiesel↗
DOE OSTI2018

New Rating Opening Windows to a World of Comfort, Opportunity, and Cost-Effective Savings

Window attachments offer a huge, cost-effective energy-saving opportunity that remains largely untapped. The newly launched window attachment energy rating and certification program, through the Attachments Energy Rating Council (AERC), is altering the way people think about residential and commercial window attachments by providing reliable, easy-to-understand energy performance information to consumers. Window attachments, such as blinds, shades, shutters, awnings, and low-emissivity (low-e) storm windows, represent an enormous existing market. With 64% of U.S. homes having single- or double-pane clear (non-low-e) less-efficient windows, the savings opportunity is significant. Studies of model homes show energy savings of 10% or more after installing more efficient storm window and cellular shades technologies (AERC 2016).In a study conducted by Efficiency Vermont, 68% of respondents had concerns with their existing windows and could benefit from an upgrade (Efficiency Vermont 2016).Through AERC, window attachment products are rated based on their Energy Performance (EP). The EP metric is an easy-to-understand comparative metric created for consumers. This rating not only allows consumers to make more informed decisions when buying attachments products, but also creates a new energy savings measure for utilities and efficiency programs to incentivize energy efficient window attachment products. This paper will outline the savings potential of window attachments, introduce the AERC rating program, detail the methodology behind the Energy Performance ratings, and explain the AERCalc tool that generates the ratings.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2019

System and method for managing electrical components for energy usage

A system for managing performance of one or more electrical components in real-time includes one or more sensors to provide working conditions of one or more energy consuming devices. The system further includes one or more actuators coupled to and configured to control the one or more energy consuming devices. Additionally, the system includes a computing device in electrical communication with the one or more sensors and the one or more actuators. The system also includes a database capable of retaining an instruction program for the computing device. The computing device includes a processor that is configured to receive data from the one or more sensors, analyze data from the one or more sensors, and execute the instruction program received from the database in order to optimize operation of the one or more energy consuming devices based on one or more criteria.

Chen, Jie↗
DOE OSTI2019

New Rating Opening Windows to a World of Comfort, Opportunity, and Cost-Effective Savings

Window attachments offer a huge, cost-effective energy-saving opportunity that remains largely untapped. The newly launched window attachment energy rating and certification program, through the Attachments Energy Rating Council (AERC), is altering the way people think about residential and commercial window attachments by providing reliable, easy-to-understand energy performance information to consumers. Window attachments, such as blinds, shades, shutters, awnings, and low-emissivity (low-e) storm windows, represent an enormous existing market. With 64% of U.S. homes having single- or double-pane clear (non-low-e) less-efficient windows, the savings opportunity is significant. Studies of model homes show energy savings of 10% or more after installing more efficient storm window and cellular shades technologies (AERC 2016). In a study conducted by Efficiency Vermont, 68% of respondents had concerns with their existing windows and could benefit from an upgrade (Efficiency Vermont 2016). Through AERC, window attachment products are rated based on their Energy Performance (EP). The EP metric is an easy-to-understand comparative metric created for consumers. This rating not only allows consumers to make more informed decisions when buying attachments products, but also creates a new energy savings measure for utilities and efficiency programs to incentivize energy efficient window attachment products. Here, this paper will outline the savings potential of window attachments, introduce the AERC rating program, detail the methodology behind the Energy Performance ratings, and explain the AERCalc tool that generates the ratings.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗