Search NASA⌕ Search

SEARCH · Search NASA

Results for “RETROFITTING”

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.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2
All sourcesNASA NTRSDOE OSTI
DOE OSTI2017

Building America Case Study: Pilot Demonstration of Phased Energy Efficiency Retrofits: Shallow Retrofit Results, Central and South Florida

The Florida Solar Energy Center (FSEC), in collaboration with Florida Power & Light (FPL), is pursuing a phased residential energy-efficiency retrofit program in Florida. Researchers are looking to establish the impacts of technologies of two retrofit packages -- shallow and deep -- on annual energy and peak energy reductions. Sixty homes have been instrumented to record total house power and detailed energy end-use data on all appliances as well as household interior temperature and relative humidity conditions.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2017

Building America Case Study: Pilot Demonstration of Phased Energy Efficiency Retrofits: Shallow Retrofit Results, Central and South Florida

The Florida Solar Energy Center (FSEC), in collaboration with Florida Power & Light (FPL), is pursuing a phased residential energy-efficiency retrofit program in Florida. Researchers are looking to establish the impacts of technologies of two retrofit packages -- shallow and deep -- on annual energy and peak energy reductions. Sixty homes have been instrumented to record total house power and detailed energy end-use data on all appliances as well as household interior temperature and relative humidity conditions.

BA-PIRC↗
DOE OSTI2013

A large-acceptance beam-deceleration module for retrofitting into ion-source beam lines

We describe a large-acceptance deceleration module capable of decelerating large-emittance full-intensity ion beams typical of ECR ion sources to very low energies with high efficiency. The deceleration module is designed to permit convenient retrofitting into an existing beam line to replace, e.g., the first Faraday cup after magnetic analysis of the beam extracted from the ion source. For starting energies of 10 keV, and incident ion currents as large as 300 {mu}A, deceleration efficiencies have been measured to be greater than 80% for final energies as low as 70 eV. The decelerated beam intensity can be monitored either by insertion of a beam catcher floating at the final deceleration voltage or from the current to the exit grid itself, with suitable correction applied for the grid transparency factor. The behavior of the deceleration optics was modeled using SIMION, incorporating the effects of intra-beam space charge repulsion. We describe a recent application of this deceleration module to study near-surface He bubble and blister formation of a W target heated to 1250 K and irradiated with a 98 eV He ion beam with a flux of {approx}10{sup 16} cm{sup -2} s{sup -1}.

43 PARTICLE ACCELERATORS↗
DOE OSTI2013

Cold Climate Foundation Retrofit Energy Savings: The Simulated Energy and Experimental Hygrothermal Performance of Cold Climate Foundation Wall Insulation Retrofit Measures — Phase I, Energy Simulation

A split simulation whole-building energy/three-dimensional earth contact model (termed the BUFETS/EnergyPlus Model or BEM) can model the full range of foundation systems in the target retrofit housing stock. This model was used to extensively evaluate the results produced by the NREL BEoptE+ tool. These foundation systems that include above-grade foundation walls, diabatic floors or slabs, and lookout or walkout walls could not be modeled in BEopt version 1.1 that was used in this project.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2013

Cold Climate Foundation Retrofit Energy Savings: The Simulated Energy and Experimental Hygrothermal Performance of Cold Climate Foundation Wall Insulation Retrofit Measures— Phase I, Energy Simulation

A split simulation whole building energy / 3-dimensional earth contact model (termed the BUFETS/EnergyPlus Model or BEM) capable of modeling the full range of foundation systems found in the target retrofit housing stock has been extensively tested. These foundation systems that include abovegrade foundation walls, diabatic floors or slabs as well as lookout or walkout walls, currently cannot be modeled within BEopt.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2024

Simulation & Analysis of the Hydronic Shell Retrofit System as a Solution for Deep Energy Retrofits and Electrification of Large Multifamily Housing Communities in Cold Climate

According to the 2020 residential energy consumption survey, there are 32 million multi-family buildings in the United States, and approximately 42% of these have poor or no insulation (US EIA 2020). Electrification of buildings with heat pump is one of the key strategies to achieve the goal of 90% reduction of greenhouse gas emissions in buildings by 2050 (U.S. Department of Energy 2024a). Building electrification will also enable greater penetration of variable renewable energy sources. However, replacing the natural gas dominated heating system by electrical appliance will increase the electrical load in heating dominated climate. It is crucial to well-insulate the building envelope to mitigate the stress in the grid from electrification. The hydronic shell (HS) system discussed next can achieve dual objective of envelope retrofit with space heating system electrification.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2017

Creating markets for captured carbon: Retrofit of Abbott Power Plant and Future Utilization of Captured CO 2

The successful implementation of CCUS requires the confluence of technology, regulatory, and financial factors. One of the factors that impact this confluence is the ability to utilize and monetize captured CO 2 . The generally accepted utilization approach has been CO 2 -based Enhanced Oil Recovery (EOR), yet this is not always feasible and/or a preferable approach. There is a need to be able to explore a multitude of utilization approaches in order to identify a portfolio of potential utilization mechanisms. This portfolio must be adapted based on the economy of the region. In response to this need, the University of Illinois has formed a Carbon Dioxide Utilization and Reduction (COOULR) Center. The open nature of the university, coupled with a university policy to reduce CO 2 emissions, provides a model for the issues communities will face when attempting to reduce emissions while still maintaining reliable and affordable power. This Center is one of the key steps in the formation of a market for captured CO 2 . Furthermore, the goal of the Center is to not only evaluate technologies, but also demonstrate at a large pilot scale how communities may be able to adjust to the need to reduce GHG emissions.

20 FOSSIL-FUELED POWER PLANTS↗
DOE OSTI2022

Potential Heating Energy and Cost Savings of Dual Fuel Heat Pump Controls as a Residential Building Equipment Retrofit in the U.S.

This study investigated the energy and cost savings potential by modeling a dual fuel heat pump system with its control for a residential building in (5A) cold climate in U.S. The simulation analysis showed that the application of the DFHP system and its control to the target building can save the heating energy by 42% over a gas furnace system (baseline system). Although the HP-only system can save more heating energy (i.e., 53%) over the baseline system than DFHP system does, the DFHP with its control demonstrated the higher cost savings when a time of use electricity rate was considered.

Yoon, Yeobeom↗
DOE OSTI2018

Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction

Deep learning has surged in popularity and proven to be effective for various artificial intelligence applications including information extraction from cancer pathology reports. Since word representation is a core unit that enables deep learning algorithms to understand words and be able to perform NLP, this representation must include as much information as possible to help these algorithms achieve high classification performance. Therefore, in this work in addition to the distributional information of words in large sized corpora, we use UMLS vocabulary resources to enrich the vector space representation of words with the semantic relations between words. These resources provide many terminologies pertaining to cancer. The refined word embeddings are used with a convolutional neural (CNN) model to extract four data elements from cancer pathology reports; ICD-O-3 tumor topography codes, tumor laterality, behavior, and histological grade. We observed that using UMLS vocabulary resources to enrich word embeddings of CNN models consistently outperformed CNN models without pre-training word embeddings and even with pre-trained word embeddings on a domain specific corpus across all four tasks. The results show marginal improvement on the laterality task, but a significant improvement on the other tasks, especially for the macro-f score. Specifically, the improvements are 3%, 13%, and 15% for tumor site, histological grade, and behavior tasks, respectively. This approach is encouraging to enrich word embeddings with more clinical data resources to be used for information abstraction tasks from clinical pathology reports.

Alawad, Mohammed↗
DOE OSTI2012

Deep Residential Retrofits in East Tennessee

Executive Summary Oak Ridge National Laboratory (ORNL) is furthering residential energy retrofit research in the mixed-humid climate of East Tennessee by selecting 10 homes and guiding the homeowners in the energy retrofit process. The homeowners pay for the retrofits, and ORNL advises which retrofits to complete and collects post-retrofit data. This effort is in accordance with the Department of Energy s Building America program research goal of demonstrating market-ready energy retrofit packages that reduce home energy use by 30 50%. Through this research, ORNL researchers hope to understand why homeowners decide to partake in energy retrofits, the payback of home energy retrofits, and which retrofit packages most economically reduce energy use. Homeowner interviews help the researchers understand the homeowners experience. Information gathered during the interviews will aid in extending market penetration of home energy retrofits by helping researchers and the retrofit industry understand what drives homeowners in making positive decisions regarding these retrofits. This report summarizes the selection process, the pre-retrofit condition, the recommended retrofits, the actual cost of the retrofits (when available), and an estimated energy savings of the retrofit package using EnergyGauge . Of the 10 households selected to participate in the study, only five completed the recommended retrofits, three completed at least one but no more than three of the recommended retrofits, and two households did not complete any of the recommended retrofits. In the case of the two homes that did none of the recommended work, the pre-retrofit condition of the homes and the recommended retrofits are reported. The five homes that completed the recommended retrofits are monitored for energy consumption of the whole house, appliances, space conditioning equipment, water heater, and most of the other circuits with miscellaneous electric loads (MELs) and lighting. Thermal comfort is also monitored, with temperature and humidity measured in all conditioned zones, attics, crawlspaces, and unconditioned basements. In some homes, heat flux transducers are installed on the basement walls to help determine the insulating qualities of the technologies and practices. EnergyGauge is used to estimate the pre-retrofit and post-retrofit home energy rating system (HERS) index and reduction in energy consumption and energy bill. In a follow-up report, data from the installed sensors will be presented and analyzed as well as a comparison of the post-retrofit energy consumption of the home to the EnergyGauge model of the post-retrofit home. Table ES1 shows the retrofits that were completed at the eight households where some or all of the recommended retrofits were completed. Home aliases are used to keep the homeowners anonymous. Some key findings of this study thus far are listed as follows. Some homeowners (50%) are not willing to spend the money to reach 30 50% energy savings. Quality of retrofit work is significantly variable among contractors which impact the potential energy savings of the retrofit. Challenges exist in defining house volume and floor area. Of the five homes that completed all the recommended retrofits, energy bill savings was not the main driver for energy retrofits. In no case were the retrofits cost neutral given a 15 year loan at 7% interest for the retrofit costs.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗