Efficacy and Evaluation of Various Technologies to Clean and Remove Biologicals from Spacecraft Materials
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cleaning planetary protection biomarkers metals bi↗
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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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Replacing ODCs in a Critical Hand Cleaning Manual Electronics Assembly Operation
The manufacture of high reliability electronics assemblies for spacecraft and ground support equipment still often involves manual assembly processes. In addition, rework and repair of critical assemblies aslo often entails manual assembly processes.
Electronics Assembly Manual Cleaning↗
Components Cleaning Facility West, SWMU 030, 2023 Annual Long Term Monitoring Report
This report summarizes 2023 annual monitoring activities completed by HydroGeoLogic, Inc. (HGL) between April and September 2023 at CCF West to monitor chlorinated volatile organic compound-affected groundwater concentrations above the state of Florida groundwater cleanup target levels (GCTL) in Chapter 62-777, Florida Administrative Code.
CCF West↗
Equitable Clean Energy Transitions for Small Communities: NREL Supports Kingston, New York, in Building a Community-First Approach to 100% Renewable Energy
In 2017, the city of Kingston, New York,committed to meet 100% power consumption with renewableenergy sources by 2050. Leading by example, Kingston hadalready made significant strides in energy efficiency in citybuildings; however, meeting the new, ambitious goal meantthat maintaining energy and housing affordability would be achallenge. The poorest residents of the city face a significantenergy burden, spending up to a quarter of income on powerand heating bills.
100% renewable goals↗
Clean Energy Credits for Hydrogen Produced from Nuclear Energy
Accelerating Decarbonization – Possible Framework for Producing Green Low Carbon Hydrogen, Steel and Ammonia from Nuclear Energy in the U.S.
08 HYDROGEN↗
Accelerating Clean Energy @Scale: Place-Based Solutions
Customized, holistic energy modeling and analysis is conducted across a wide range of geospatial scales -- from global to local. We will describe the value and importance of local, place-based solutions, particularly, how scientific insights, decision support, and technical assistance based on integrated, customized modeling and analysis, and in-depth stakeholder engagement can assist communities in translating their ambitions into implementable action plans.
clean energy↗
Clean Energy in Oil & Gas Consortium: Compressor Station Case Study
JISEA conducted analysis of technical and economic potential of incorporating low-emissions energy sources into various oil and gas operations in different locations to assist the oil and gas industry with decision-making. The case study analysis presented here evaluated renewable energy opportunities at an all-electric compressor station located in Texas.
Baker Hughes↗
Clean Energy Transformation in Bangladesh
Since 2011, the United States Agency for International Development (USAID) and the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL) have partnered to support Bangladesh’s energy transition by enabling the deployment of advanced energy systems. The USAID-NREL Partnership launched the Reinforcing Advanced Energy Systems (RAES) program in May 2021 as a mechanism for providing a broader array of technical assistance to the Government of Bangladesh in support of their goal to promote renewable energy development to stimulate private sector investment, rural economic development, and to meet growing energy demand through domestic energy resources. This fact sheet reviews how USAID and NREL collaborate in Bangladesh to improve energy access and security and stimulate economic growth through the deployment of advanced energy systems.
Bangladesh↗
Massachusetts's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Massachusetts had 4,614,016 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Alabama's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Alabama had 3,150,156 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Arizona's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Arizona had 4,611,844 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Arkansas's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Arkansas had 1,915,575 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Alaska's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Alaska had 487,637 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Connecticut's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Connecticut had 2,345,997 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030.1 These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Georgia's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Georgia had 7,017,580 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Florida's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Florida had 13,466,496 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Hawaii's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Hawaii had 893,995 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030.1 These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗
Idaho's Clean Energy Jobs Potential Through 2030
According to the U.S. Census Bureau, Idaho had 1,127,985 people in its working population (15 to 64 years of age) in 2019. The graphs below show solar photovoltaic (PV), land-based wind, battery energy storage (BES), and energy efficiency job estimates in 2020, 2025, and 2030. These job estimates do not represent net job creation. Rather, they represent the size of the workforce required to achieve projected national deployment levels of each technology for 2025 and 2030 if the state captures the same proportion of jobs in the sector as it did in 2020.
clean energy↗