Reimagining What's Possible for Clean Energy
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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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This video tells the story of why the Solar Energy Research Institute was created and the lasting legacy of the work and dedication of its people.
AFLEET is a free tool from the U.S. Department of Energy (DOE) that fleet managers can use to quantify the environmental and economic impacts of new fuels and vehicle technologies. The AFLEET factsheet explains how the tool works and how to access it.
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Given two case scenarios of nuclear paired with a renewable energy source (solar and wind) to supply 100% energy to the grid, the form of energy storage most efficient and suitable to meet grid demand must be determined. This project examines batteries and hydrogen as solutions to this energy storage problem, specifically Li-Ion and Vanadium Redox Flow batteries, and hydrogen stored in compressed, liquid and salt caverns format.
AFLEET is a free tool from the U.S. Department of Energy (DOE) that fleet managers can use to quantify the environmental and economic impacts of new fuels and vehicle technologies. The AFLEET factsheet explains how the tool works and how to access it.
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.
Accelerating Decarbonization – Possible Framework for Producing Green Low Carbon Hydrogen, Steel and Ammonia from Nuclear Energy in the U.S.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.