NREL Capabilities for TMCES
This is a panel presentation covering NREL's capabilities in the thermal-mechanical energy storage space, including ARIES, component R&D, and modeling tools and datasets.
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This is a panel presentation covering NREL's capabilities in the thermal-mechanical energy storage space, including ARIES, component R&D, and modeling tools and datasets.
This is a presentation to ETIPP project partners at a regional meeting in Rockland, Maine focusing on ETIPP success stories.
The Lab MATCH prize, funded by the Office of Technology Commercialization through the Technology Commercialization Fund, was designed to accelerate the commercialization of national laboratory intellectual property (IP) by incentivizing for-profit companies and startups to license lab IP aiming to enable more affordable, available, reliable and secure energy solutions. The Lab MATCH prize program offers both technical and commercial benefits, aligning with the Department of Energy's (DOE) mission to advance energy solutions through innovation, commercialization, and market-ready deployment. In summary, the Lab MATCH Prize promotes DOE's objectives by marrying technical innovation with commercialization expertise, resulting in scalable, market-ready solutions that strengthen the U.S. economy, advance energy technologies, and reaffirm U.S. leadership in energy innovation.
The presentation will update NLR research and development in LDES Consortium on long duration energy storage for collaborative opportunities.
This work investigates an innovative low-voltage (<60 V) hybrid device that enables engine boosting and downsizing in addition to mild hybrid functionalities such as regenerative braking, start-stop, and torque assist. A planetary gear set and a brake permit the power split supercharger (PSS) to share a 9 kW motor between supercharging the engine and direct torque supply to the crankshaft. In contrast, most e-boosting schemes use two separate motors for these two functionalities. This single motor structure restricts the PSS operation to only one of the supercharging or parallel hybrid modes; therefore, an optimized decision making strategy is necessary to select both the device mode and its power split ratio. An adaptive equivalent consumption minimization strategy (A-ECMS), which uses the battery state of charge (SoC) history to adjust the equivalence factor, is developed for energy management of the PSS. The A-ECMS effectiveness is compared against a dynamic programming (DP) solution with full drive cycle preview through hardware-in-the-loop experiments on an engine dynamometer testbed. The experiments show that the PSS with A-ECMS reduces vehicle fuel consumption by 18.4% over standard FTP75 cycle, compared to a baseline turbocharged engine, while global optimal DP solution decreases the fuel consumption by 22.8% compared to the baseline.
Energy portfolios are overwhelmingly dependent on fossil fuel resources that perpetuate the consequences associated with climate change. Therefore, it is imperative to transition to more renewable alternatives to limit further harm to the environment. This study presents a univariate time series prediction model that evaluates sustainability outcomes of partial energy transitions. Future electricity generation at the state-level is predicted using exponential smoothing and autoregressive integrated moving average (ARIMA). The best prediction results are then used as an input for a sustainability assessment of a proposed transition by calculating carbon, water, land, and cost footprints. Missouri, USA was selected as a model testbed due to its dependence on coal. Of the time series methods, ARIMA exhibited the best performance and was used to predict annual electricity generation over a 10-year period. The proposed transition consisted of a one-percent annual decrease of coal’s portfolio share to be replaced with an equal share of solar and wind supply. The sustainability outcomes of the transition demonstrate decreases in carbon and water footprints but increases in land and cost footprints. Decision makers can use the results presented here to better inform strategic provisioning of critical resources in the context of proposed energy transitions.
The energy balance constitutes a powerful management instrument for government agencies, as it offers an overview of the energy situation of the country (or region) and serves as a guide for energy policies and monitoring of these policies. Although Brazil has published the national energy balance for more than half a century, the national publication does not adequately address energy statistics at the level of the states. This occurs either due to the lack of specific data or the absence of total disaggregation. Accordingly, the elaboration and implementation of public policies for the energy sector in the Brazilian states lack consistent energy statistics. Therefore, this paper aims to present a model for the Brazilian states to elaborate the energy balance. The proposed model consists of applying internationally referenced methodologies to develop a user-friendly software, which includes automatic energy unit conversions, different chart styles, high-level data organization, and Sankey diagrams. As a result, the software can be adopted by local governments as a tool to maintain the state energy balance publication periodically, and hence obtain the detailed information necessary to manage and formulate energy policies. The advantage of the software is that it can be operated by non-experts and the energy flow as well as the entire report can be generated automatically. The proposed software was successfully used to generate the energy balance of the Mato Grosso do Sul state.
As the need for a just and equitable energy transition accelerates, disruptive clean energy technologies are becoming more visible to the public. Clean energy technologies, such as solar photovoltaics and wind power, can substantially contribute to a more sustainable world and have been around for decades. However, the fast pace at which they are projected to be deployed in the United States (US) and the world poses numerous technical and nontechnical challenges, such as in terms of their integration into the electricity grid, public opposition and competition for land use. For instance, as more land-based wind turbines are built across the US, contention risks may become more acute. This article presents a methodology based on reinforcement learning (RL) that minimizes contention risks and maximizes renewable energy production during siting decisions. As a proof-of-concept, the methodology is tested on a case study of wind turbine siting in Illinois during the 2022–2035 period. Results show that using RL halves potential delays due to contention compared to a random decision process. This approach could be further developed to study the acceptance of offshore wind projects or other clean energy technologies.
The Energy 101: Solar presentation, developed for the Energy Technology Innovation Partnership Project (ETIPP), provides an overview of solar energy. It covers fundamental concepts, designs, solar for different scales and use cases, and additional resources.
Freight travel accounts for a major share of the energy consumed in the transportation sector in any country, and the United States is no exception. Understanding and modeling freight movement is critical, particularly in the context of capturing the impact of emerging technologies on freight travel and its externalities. The domain of freight modeling and forecasting is gaining pace in the recent years, but advancement in comprehensive freight performance metrics is still lagging. Conventional freight performance metrics such as truck-miles, ton-miles, or value-miles are unidimensional and aggregated in nature, making them unsuitable to accurately capture the impact of emerging transportation trends on the performance of freight systems. Addressing this research need, this paper presents the 'Freight Mobility Energy Productivity' metric to quantify freight performance of current as well as future freight systems, accounting for various costs associated with freight transport. The proposed metric was implemented using data from the Freight Analysis Framework along with other published sources, which shows intuitive results in quantifying freight performance. Further, a scenario analysis exercise was conducted to test the capability of the metric in tracking improvements in system-level freight efficiency as a result of vehicle powertrain technology improvement. Results of the scenario analysis reinforce confidence that the proposed metric can be used as a decision support tool in assessing the efficiency of existing as well as future freight trends and technologies.
Presentation gives an overview of proven examples of renewable energy technologies. Learn how to properly utilize renewable energy technologies; research, select, fund, and deploy renewable technologies; best operate and maintain the federal government’s fleet of on-site solar photovoltaic (PV) systems; and learn best practices to detect and address performance issues with a PV system.
Central to achieving reduced carbon emissions and sustained economic recovery from the COVID pandemic is a national energy system based on low-carbon technologies and resistant to disruption from severe weather events and human attacks. NREL’s Energy Security and Resilience (ESR) Initiative applies NREL’s expertise in the design and operation of clean, highly distributed energy systems to the most pressing security and resilience challenges.
Prioritizing battery energy storage system opportunities across a large real estate portfolio can be complex. The National Renewable Energy Laboratory used a phased approach including detailed REopt analysis to efficiently identify the most cost-effective projects across 80 U.S. Army installations.
Abstract not provided.
The National Renewable Energy Laboratory (NREL) developed the Puerto Rico Energy Efficiency Scenario Analysis Tool (PREESAT) to allow stakeholders to estimate the long-term aggregate electricity consumption impacts of various energy efficiency measures in Puerto Rico’s residential, commercial, and industrial sectors. PREESAT is an energy accounting framework that addresses electricity use. These presentation slides provide a summary of the electrical sector in Puerto Rico and an overview of how the PREESAT tool can be used to project energy savings from various energy efficiency measures in the residential, commercial, and industrial sectors.
This webinar was presented on September 1, 2021 and provides an overview of new battery features to be including in the next SAM release.
This fact sheet provides an overview on Advanced Research on Integrated Energy Systems (ARIES).
The U.S. is committed to working with countries all over the globe to accelerate clean climate goals from ambition to action, and the Net Zero World Initiative is the latest example of our dedication. The Net Zero World Initiative is uniquely positioned to achieve rapid global energy decarbonization. It will partner with countries to help them implement climate ambition pledges and accelerate global transitions to net zero, resilient, and inclusive energy systems. The Net Zero World Initiative Will Harness Unique USG and Lab Assets in Partnership with Philanthropies. Scale-up and goals listed.