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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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The impact of data shortfalls on reliability uncertainty is studied using the Rationale for Assessing Degradation Arriving at Random (RADAR) Bayesian methodology for a series system.
Small electricity utilities -- those with less than 100 employees or 50,000 meters -- provide essential services to large parts of the United States while facing a number of challenges unique to their mission. For instance, they often serve areas that are sparsely populated, meaning that their per-customer cost to provide service is higher. At the same time, they often serve customers that have moderate or fixed incomes, meaning that they are under strong pressure to keep costs down. This pressure puts them on a strict budget and creates a need for innovative solutions to common problems. Further, their service areas may include extreme climates, making severe weather events more frequent and their aftermaths more expensive to address. This guide considers challenges that small utilities face while ensuring the reliability, resilience, and cybersecurity of their electric service; approaches to address those challenges using existing guidance documents; ways that the federal government could provide support in these areas.
The Gearbox Reliability Collaborative gearbox was redesigned to improve its load-sharing characteristics and predicted fatigue life. The most important aspect of the redesign was to replace the cylindrical roller bearings with preloaded tapered roller bearings in the planetary section. Similar to previous work, the strain gages installed on the planet tapered roller bearings were calibrated in a load frame. This report describes the calibration tests and provides the factors necessary to convert the measured units from dynamometer testing to bearing loads, suitable for comparison to engineering models.
The primary objectives of this project was to develop and validate reliability models and accelerated stress testing (AST) methodologies for predicting the lifetime of integrated SSL luminaires. This study examined the likely failure modes for SSL luminaires including abrupt failure, excessive lumen depreciation, unacceptable color shifts, and increased power consumption. Data on the relative distribution of these failure modes were acquired through extensive accelerated stress tests and combined with industry data and other source of information on LED lighting. This data was compiled and utilized to build models of the aging behavior of key luminaire optical and electrical components.
As maximum device temperatures approach 200 °Celsius, continuous operation, sintered silver materials promise to maintain bonds at these high temperatures without excessive degradation rates. A detailed characterization of the thermal performance and reliability of sintered silver materials and processes has been initiated for the next year. Future steps in crack modeling include efforts to simulate crack propagation directly using the extended finite element method (X-FEM), a numerical technique that uses the partition of unity method for modeling discontinuities such as cracks in a system.
This report finds that natural gas-fired power plants purchase fuel both on the spot market and through firm supply contracts; there do not appear to be clear drivers propelling power plants toward one or the other type. Most natural gas-fired power generators are located near major natural gas transmission pipelines, and most natural gas contracts are currently procured on the spot market. Although there is some regional variation in the type of contract used, a strong regional pattern does not emerge. Whether gas prices are higher with spot or firm contracts varies by both region and year. Natural gas prices that push the generators higher in the supply curve would make them less likely to dispatch. Most of the natural gas generators discussed in this report would be unlikely to enter firm contracts if the agreed price would decrease their dispatch frequency. The price points at which these generators would be unlikely to enter a firm contract depends upon the region that the generator is in, and how dependent that region is on natural gas. The Electric Reliability Council of Texas (ERCOT) is more dependent on natural gas than either Eastern Interconnection or Western Interconnection. This report shows that above-ground storage is prohibitively expensive with respect to providing storage for an extended operational fuel reserve comparable to the amount of on-site fuel storage used for coal-fired plants. Further, both pressurized and atmospheric tanks require a significant amount of land for storage, even to support one day’s operation at full output. Underground storage offers the only viable option for 30-day operational storage of natural gas, and that is limited by the location of suitable geologic formations and depleted fields.
This study examines the cold weather event now known as the Bomb Cyclone that blanketed much of the eastern half of the United States from Dec 27, 2017 through Jan 8, 2018. Analyses focus on six areas of organized markets administered by independent system operators in the US Eastern Interconnection and Texas. This report finds: (1) Combined, fossil and nuclear energy plants provided 89% of electricity during peak demand across all the ISOs; (2) Coal provided the most resilient form of generation in PJM; (3) The value of fuel-based power generation resilience in PJM during this event was estimated at $3.5 billion; (4) Natural gas price spikes, increased demand, and pipeline constraints led to significant fuel oil burn in the US Northeast; (5) Renewables imposed a resilience penalty on the system as output decreased as demand increased; (6) Underestimation of coal and nuclear retirements could give rise to reliability concerns and an inability to meet projected electricity demand.
In a March 2018 report entitled Reliability, Resilience and the Oncoming Wave of Retiring Baseload Units , the National Energy Technology Laboratory (NETL) analyzed the fleet performance of market areas impacted by a 13-day storm known colloquially as the “Bomb Cyclone.” Special attention was paid to northeastern areas, as these were most impacted. With respect to PJM Interconnection LLC (PJM), the report found that 1) without coal units, the system would have experienced shortfalls; 2) approximately 25 gigawatts (GW) of heretofore underutilized coal-fired plants provided crucial capacity, lending the system resilience; 3) nearly 28 GW of natural gas-fired capacity did not deploy, due to severe spikes in natural gas prices caused in turn by constrained gas deliverability, in the face of tremendous space heating demand and transmission deliverability constraints on the bulk electric system. In April 2018, PJM issued a response that argued the NETL analysis was misplaced, asserting that gas-fired capacity was available and that it could have been called into service but was not, due to “economics.” This brief represents NETL’s reaction to PJM’s assertions in its April 2018 response.
The objective of this project is to improve the degradation and reliability of tubular SOFC and develop technologies applicable to stacks scalable to sub-MW system. The Phase II project scope encompasses the cell level technology development listed here and also bundle level degradation verification; 1. Incorporation of an inexpensive on-cell contamination gettering element in each cell to provide protection for cathode against Cr and S; 2. Enhance the electrical contact between Ag current collector and the lanthanum chromite based interconnection layer; 3. Improve the electrolyte layer sintering recipe to reduce the defect density and related anode oxidation problem
The objective of this project is to improve the degradation and reliability of tubular SOFC and develop technologies applicable to stacks scalable to sub-MW system. The Phase II project scope encompasses the cell level technology development listed below and also bundle level degradation verification. (1) Incorporation of an inexpensive on-cell contamination gettering element in each cell to provide protection for cathode against Cr and S. (2) Enhance the electrical contact between Ag current collector and the lanthanum chromite based interconnection layer. (3) Improve the electrolyte layer sintering recipe to reduce the defect density and related anode oxidation problem.
SRNL was funded in Mid-Year FY20 by NNSA NA-231 to continue evaluation of alternate valves for use in tritium service to support domestic Mo-99 production. The focus of the effort was to identify valve cycle life as a function of actuator size and stem tip material. Using the minimum size actuator to reliability open and close valves can reduce glovebox size and thus support domestic companies to “come to market” faster in supplying Mo-99 to the US market. This report serves as a continuation to the FY19 report and summarizes the task activities completed in FY20 after authorization to start work was obtained on May 5 th , 2020. Copper stem tips were tested on the Swagelok 1C and 5C actuated metal bellows valves. With ambitions to cycle each set 150,000 times, both 1C and 5C valves were met with high failure rates. The smaller 1C actuated valves required additional closing pressure to form a seal with the Cu stem tips installed however, excessive stem tip deformation may be the root cause of the majority of the valves failing before 500 cycles. The larger 5C actuated valves were cycled 150,000 times but still resulted in 80% failure rate, suspected of metal fatigue in the bellows due to high cycling frequencies.
A new DOE/NREL industry collaboration called the Gearbox Reliability Collaborative 1.5 (GRC1.5) will undertake field testing on a commercial multi-megawatt wind turbine gearbox to collect loading data as installed in the turbine to thoroughly characterize gearbox loads and responses during actual in-field conditions. A chief outcome is to provide publicly available operational loading data to the industry. This will provide a greater understanding of steady-state, transient, and fault response for both the input and output of the gearbox; thus, facilitating improvements in the gearbox components, lubrication system, power converter or turbine controller.
Probabilistic risk assessments (PRAs) are integral to nuclear power plant (NPP) operations, having tremendously benefitted the safety of the U.S. reactor fleet for decades. Insights obtained from the models have provided perspectives on a variety of applications, both at the plant and for the regulator. While these models are very useful, they are now being asked to represent and analyze aspects of the plant that were never envisioned by the initial PRA practitioners. Furthermore, heightened demands on the PRA models have led to increased computing power requirements. Additionally, as the complexity of the PRA models increased, the difficulty experienced by non-PRA experts in trying to understand these models, grasp the insights they provide, and effectively use that information has become problematic. The need for research to address key issues regarding PRA tools and methods has never been greater. Although the nuclear power industry has largely been well-served by these tools and methods, the underlying science is dated, remaining mostly unchanged for over two decades. Three areas were identified as most beneficial to address to maintain and improve the usefulness of the current practice legacy PRA tools: improved quantification speed, increased ability to efficiently model multi-hazard models, and improved modeling human action dependency in PRA. This report is focused on the third critical area, improvements in dependency analysis of human actions conducted as part of a typical human reliability assessment.
Electric Vehicles (EVs) adoption rate has been steadily increasing in the US leading to a growing number of charging stations including faster DC (Direct Current) chargers and slower Level 1 and Level 2 AC (Alternating Current) chargers. This increase in demand for electricity is further exacerbated by recent developments in Artificial Intelligence (AI) technology, advanced manufacturing, and digitization. These factors will require electric utilities to upgrade their infrastructure to keep up with the increasing electrical demand (especially during peak hours). An easy way to counteract the need for these upgrades is to shift a major chunk of active charge sessions (durations where there is energy transfer from charger to EV's propulsion battery) to off-peak hours thereby flattening the load curve and making the infrastructure more resilient. This concept is known as Smart Charge Management (SCM). EV owners also benefit from SCM since it lowers their charging costs and consequently their transportation costs by prioritizing charging during off-peak hours. SCM takes advantage of EV's capability to act as a controllable load or DER (Distributed Energy Resource). This report summarizes the reliability analysis performed on the communication required for two of these SCM use-cases. This analysis only focuses on SCM strategies for unidirectional charging (energy transfer from EVSE to EV or V1G) and not bidirectional charging.
This slide deck describes typical power systems of large datacenters along with reliability problems to bulk power systems from large-scale integration of datacenters. The slide deck covers the architecture of datacenter power systems, different power electronic converters used inside datacenters, their operation modes, and R&Dopportunities in maintaining grid stability.
In this project, we have established a nondestructive, generalized methodology that (1) fuses rich field data with advanced ML for proactive reliability forecasting, (2) dramatically reduces experimental iterations via synthetic dataset generation, and (3) achieves unprecedented regression precision in both anomaly detection and component-level degradation assessment—paving the way for truly predictive maintenance of grid-tied PV inverters under diverse outdoor conditions.
The overarching objective of this project was to increase significantly the mechanical adhesion toughness of the key interfaces in PSCs, thereby improving the durability and reliability of PSCs and minimodules, while simultaneously enhancing their PCE. This is achieved by incorporating rationally-chosen self-assembled monolayers (SAMs) at key PSC interfaces. Inherently scalable methods for the deposition of MHP light-absorber thin films and SAMs are employed to ensure a viable path towards manufacturability. Furthermore, detailed understanding of mechanisms of PSCs and minimodules degradation, and SAMs-induced mitigation, is provided. As part of the project accomplishments, >60% increase in the adhesion toughness of the key PSC interfaces over their SAMs-free control counterparts was achieved. Also, PCEs >20% and >19% in rigid and flexible, respectively, single-junction PSCs (~1 cm 2 area) were achieved. It was shown that <20% PCE loss in flexible PSCs with SAMs can be achieved after bend testing. It was demonstrated that T80 (80% retention of initial PCE) of >5,000 hours in rigid PSCs (~1 cm2 area) can be achieved. Comprehensive understanding of the degradation mechanisms in PSCs was obtained. These strategies were adopted towards developing minimodules. PCE of >21% was obtained in an 6-cm 2 area minimodule, with T91 of 1,000 hours.
More reliable protection of large high-speed systems from spontaneous speed increases is considered. To that end, a smart mechatronic module with a system for determining the surface quality of the structural components may be introduced in the automatic safety mechanism. That excludes operator participation in verifying safety-system performance.