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At least 1,783 records · Page 99

FINAL Report LTC-DOE DE-EE0000537

At the time of LTC’s application we were home to a small / mid-sized Wind Energy Research and Teaching Center, funded in part by We Energies, and offered the state of Wisconsin’s first Associate of Applied Science (A.A.S.) Degree in Wind Energy Technology. With President Obama promising investment in wind, LTC and its partners were uniquely situated to meet the challenge through an organized career pathways approach that utilized industry drivers and occupationally verified curriculum to train the workers who “transform our energy sector.” LTC’s employer partners validated the findings of the “20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply” report by the US Department of Energy which recognized programs like LTC’s as an “excellent beginning,” noting that many more like them are necessary to meet the challenges of the 20% Wind scenario.One of the focuses of the study was the lack of trained technicians to work on installation and maintenance of renewables (and more specifically for our grant application wind turbines). LTC’s goal, made possible with the funding provided in this grant, was to increase the number of skilled graduates to help meet this national objective. LTC was already a leader in wind for the state of Wisconsin but wanted to upscale from a single school to a statewide (and potentially regional) center for wind energy. LTC planned to leverage our facilities, curriculum, and faculty expertise to meet this goal.

17 WIND ENERGY↗

Rutgers University Subcontract B611610 Final Report

Given an incomplete (i.e., partially-observed) network, which nodes should we actively probe in order to achieve the highest accuracy for a given network feature? For example, consider a cyber-network administrator who observes only a portion of the network at time t and wants to accurately identify the most important (e.g., highest PageRank) nodes in the complete network. She has a limited budget for probing the network. Of all the nodes she has observed, which should she probe in order to most accurately identify the important nodes? We propose a novel and scalable algorithm, MaxOutProbe, and evaluate it w.r.t. four network features (largest connected component, PageRank, core-periphery, and community detection), five network sampling strategies, and seven network datasets from different domains. Across a range of conditions, MaxOutProbe demonstrates consistently high performance relative to several baseline strategies

97 MATHEMATICS AND COMPUTING↗

NREL/University of Delaware Offshore Wind R&D Collaboration: Cooperative Research and Development Final Report, CRADA Number CRD-10-393

Specifically, the work under this CRADA includes, but is not limited to, the development of test procedures for an offshore test site in Delaware waters; testing of installed offshore wind turbines; performance monitoring of those turbines; and a program of research and development on offshore wind turbine blades, components, coatings, foundations, installation and construction of bottom-fixed structures, environmental impacts, policies, and more generally on means to enhance the reliability, facilitate permitting, and reduce costs for offshore wind turbines. This work will be conducted both at NREL's National Wind Technology Center and participant facilities, as well as the established offshore wind test sites.

17 WIND ENERGY↗

A Compact, Broad-Band Hyperspectral SpectroRadiometer (Final Report)

The Phase I effort has laid the foundation for developing a complete, high-performance hyperspectral imaging system based on a patented approach. Detailed optical modeling has been performed to identify an optimal design that promises excellent imaging, low stray-light, and large signal-to-noise ratios across the full spectral range of 350-2500 nm. Vibration analysis indicates the instrument’s primary optics will be stable when deployed in high-vibration environments such as onboard a UAV, and a mechanical design has been developed. A two-step development plan has been formulated to minimize risk. In the first step, a deployable prototype instrument will be built that provides full performance but will utilize a somewhat heavy, but proven, data acquisition system. This will leave sufficient time and resources to address problems that may arise and incorporate a more advanced data acquisition system during the second step, plus leave time and resources to make other improvements identified during testing done during the first step. In summary, the effort will lead to an advanced instrument for vegetation monitoring, which may find applications in agriculture, pipeline monitoring, and it will find applications for a broad range of research including work devoted to understanding of the carbon cycle.

54 ENVIRONMENTAL SCIENCES↗

Advanced Low Temperature Geothermal Power Cycles (The ENTIV Organic Project) Final Report

Feasibility study of advanced low temperature thermal power cycles for the Entiv Organic Project. Study evaluates amonia-water mixed working fluid energy conversion processes developed and licensed under Kalex in comparison with Kalina cycles. Both cycles are developed using low temperature thermal resource from the Lower Klamath Lake Geothermal Area. An economic feasibility evaluation was conducted for a pilot plant which was deemed unfeasible by the Project Sponsor (Entiv).

15 GEOTHERMAL ENERGY↗

Final Report: Sublinear Algorithms for In-situ and In-transit Data Analysis at Exascale.

Post-Moore's law scaling is creating a disruptive shift in simulation workflows, as saving the entirety of raw data to persistent storage becomes expensive. We are moving away from a post-process centric data analysis paradigm towards a concurrent analysis framework, in which raw simulation data is processed as it is computed. Algorithms must adapt to machines with extreme concurrency, low communication bandwidth, and high memory latency, while operating within the time constraints prescribed by the simulation. Furthermore, in- put parameters are often data dependent and cannot always be prescribed. The study of sublinear algorithms is a recent development in theoretical computer science and discrete mathematics that has significant potential to provide solutions for these challenges. The approaches of sublinear algorithms address the fundamental mathematical problem of understanding global features of a data set using limited resources. These theoretical ideas align with practical challenges of in-situ and in-transit computation where vast amounts of data must be processed under severe communication and memory constraints. This report details key advancements made in applying sublinear algorithms in-situ to identify features of interest and to enable adaptive workflows over the course of a three year LDRD. Prior to this LDRD, there was no precedent in applying sublinear techniques to large-scale, physics based simulations. This project has definitively demonstrated their efficacy at mitigating high performance computing challenges and highlighted the rich potential for follow-on re- search opportunities in this space.

97 MATHEMATICS AND COMPUTING↗

Final Report - DE-EE0000260

In this program, we are developing next-generation SOFC materials and architectures for use with biomass-derived fuel streams, with a focus on addressing the technical challenges and the required operating windows associated with carbon-deposit formation. We are developing fuel-processing strategies for processing landfill- and anaerobic-digester-derived biomass streams for use in SOFCs. Similarly, we are examining processing of biomass-derived liquid fuels for use in solid-oxide fuel cell systems. We conduct extensive computational modeling work to support the materials-development and fuel-processing tasks. Modeling is conducted across a broad range of length scales, from the microscopic level to examine the fundamental underpinnings of cell operation, to the mesoscopic level to examine and optimize fuel-reformer design, and to the system level to craft optimal integration and dynamic-control solutions.

03 NATURAL GAS↗

Center for Advanced Biofuel Systems (CABS) Final Report

One of the great challenges facing current and future generations is how to meet growing energy demands in an environmentally sustainable manner. Renewable energy sources, including wind, geothermal, solar, hydroelectric, and biofuel energy systems, are rapidly being developed as sustainable alternatives to fossil fuels. Biofuels are particularly attractive to the U.S., given its vast agricultural resources. The first generation of biofuel systems was based on fermentation of sugars to produce ethanol, typically from food crops. Subsequent generations of biofuel systems, including those included in the CABS project, will build upon the experiences learned from those early research results and will have improved production efficiencies, reduced environmental impacts and decreased reliance on food crops. Thermodynamic models predict that the next generations of biofuel systems will yield three- to five-fold more recoverable energy products. To address the technological challenges necessary to develop enhanced biofuel systems, greater understanding of the non-equilibrium processes involved in solar energy conversion and the channeling of reduced carbon into biofuel products must be developed. The objective of the proposed Center for Advanced Biofuel Systems (CABS) was to increase the thermodynamic and kinetic efficiency of select plant- and algal-based fuel production systems using rational metabolic engineering approaches grounded in modern systems biology. The overall strategy was to increase the efficiency of solar energy conversion into oils and other specialty biofuel components by channeling metabolic flux toward products using advanced catalysts and sensible design:1) employing novel protein catalysts that increase the thermodynamic and kinetic efficiencies of photosynthesis and oil biosynthesis; 2) engineering metabolic networks to enhance acetyl-CoA production and its channeling towards lipid synthesis; and 3) engineering new metabolic networks for the production of hydrocarbons required to meet commercial fuel standards.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

Final Report – Study of Shortwave Spectra in Fully 3D Environment. Synergy Between Scanning Radars and Spectral Radiation Measurements

ARM set out 20 years ago to “close” the radiation problem, that is, to improve radiation models to the point where they could routinely predict the observed spectral radiation fluxes knowing the optical properties of the surface and of gases, clouds and aerosols in the atmosphere. Only then could such radiation models form a proper springboard for global climate model (GCM) parameterizations of spectral radiation. Sustained efforts have more or less achieved that goal with regard to longwave radiation; ASR models now routinely predict ARM spectral longwave radiances to 1–2%. Similar efforts in the shortwave have achieved far less; the successes are mainly for carefully selected 1D stratiform cloud cases. Such cases amount, even with the most optimistic interpretation, to no more than 30% of all cases at SGP. The problem has not been lack of effort but lack of appropriate instruments.The new ARM stimulus-funded instruments, with their new capabilities, will dramatically improve this situation and once again make progress possible on the shortwave problem. The new shortwave spectrometers will provide a reliable, calibrated record including the near infrared – and for other climatic regimes than SGP. The new scanning radars will provide the 3D cloud view, making it possible to tackle fully 3D situations. Thus, our main theme for the project is the understanding and closure of the surface spectral shortwave radiation problem in fully 3D cloud situations by combining the new ARM scanning radars and shortwave spectrometers with the arsenal of radiative transfer tools.

54 ENVIRONMENTAL SCIENCES↗

Final Report for “Simulating the Arctic Winter Longwave Indirect Effects. A New Parameterization for Frost Flower Aerosol Salt Emissions” (DESC0006679) for 9/15/2011 through 9/14/2015

Description of the Project: This project has improved the aerosol formulation in a global climate model by using innovative new field and laboratory observations to develop and implement a novel wind-driven sea ice aerosol flux parameterization. This work fills a critical gap in the understanding of clouds, aerosol, and radiation in polar regions by addressing one of the largest missing particle sources in aerosol-climate modeling. Recent measurements of Arctic organic and inorganic aerosol indicate that the largest source of natural aerosol during the Arctic winter is emitted from crystal structures, known as frost flowers, formed on a newly frozen sea ice surface [Shaw et al., 2010]. We have implemented the new parameterization in an updated climate model making it the first capable of investigating how polar natural aerosol-cloud indirect effects relate to this important and previously unrecognized sea ice source. The parameterization is constrained by Arctic ARM in situ cloud and radiation data. The modified climate model has been used to quantify the potential pan-Arctic radiative forcing and aerosol indirect effects due to this missing source. This research supported the work of one postdoc (Li Xu) for two years and contributed to the training and research of an undergraduate student. This research allowed us to establish a collaboration between SIO and PNNL in order to contribute the frost flower parameterization to the new ACME model. One peer-reviewed publications has already resulted from this work, and a manuscript for a second publication has been completed. Additional publications from the PNNL collaboration are expected to follow.

54 ENVIRONMENTAL SCIENCES↗

Development of Industrial Prototype Spectropolarimeter for Medical Use Based on Liquid Crystal Polarization Diffraction Grating (Final Report)

This project will develop and design a prototype for an advanced spectro-polarimeter, which measures the polarization of light at various wavelengths. This spectro-polarimeter will combine the functionality of both spectrometer and polarimeter in one compact, lightweight and inexpensive device. Unlike devices on market today, this device allows for simultaneous, real-time measurements of fast biological processes. This advance in spectro-polarimeters can be applied in the chemical, medical and biological fields to research new drugs, control dynamics of drugs in blood, and improve medical diagnosis by enabling the study of tissue structure, cellular and sub-cellular structures of proteins and DNA. This project will also help develop other applications for such devices as imaging, identification of targets embedded in dense scattering media, and biochemical sensing.

99 GENERAL AND MISCELLANEOUS↗

Development of in-situ electrochemical cell for studies of lithium reaction kinetics of single particles (Final Report)

Lithium-ion batteries are the preferred energy storage devices for portable electronics and are playing an even more important role in large-scale applications, such as electrical vehicles and grid storage. Developing new materials for these demanding applications requires a better understanding of how electrode materials function and why they fail by tracking electrochemical reactions in working electrodes. Many of the currently available synchrotron x-ray techniques are well suited to in-situ studies of structural changes in bulk electrodes, but are limited by spatial resolution. In collaboration with Hummingbird Scientific, we will use their existing liquid-flow holder platform for electrochemistry for simultaneous electron imaging, diffraction and spectroscopy, to perform in situ electrochemical studies. With this configuration of the design, we will be able to make the real time nanoelectrochemistry measurements of the specially designed electrodes in a real battery environment, and study the lithium reaction kinetics of individual nanoparticles. The results will yield new insights into intercalation reactions, and guide the development of new battery electrodes. In addition, the unique approach of studying individual nanoparticles in real time will be broadly applicable to a variety of energy-storage materials, including grid-scale storage.

99 GENERAL AND MISCELLANEOUS↗

Final Report on Subcontract B605152. Multigrid Methods for Systems of PDEs

The project team has continued with work on developing aggressive coarsening techniques for AMG methods. Of particular interest is the idea to use aggressive coarsening with polynomial smoothing. Using local Fourier analysis the optimal values for the parameters involved in defining the polynomial smoothers are determined automatically in a way to achieve fast convergence of cycles with aggressive coarsening. Numerical tests have the sharpness of the theoretical results. The methods are highly parallelizable and efficient multigrid algorithms on structured and semistructured grids in two and three spatial dimensions.

97 MATHEMATICS AND COMPUTING↗

Final Report. Evaluating the Climate Sensitivity of Dissipative Subgrid-Scale Mixing Processes and Variable Resolution in NCAR's Community Earth System Model

The goals of this project were to (1) assess and quantify the sensitivity and scale-dependency of unresolved subgrid-scale mixing processes in NCAR’s Community Earth System Model (CESM), and (2) to improve the accuracy and skill of forthcoming CESM configurations on modern cubed-sphere and variable-resolution computational grids. The research thereby contributed to the description and quantification of uncertainties in CESM’s dynamical cores and their physics-dynamics interactions.

58 GEOSCIENCES↗

Mobile Ocean Test Berth Support: Cooperative Research and Development Final Report, CRADA Number CRD-10-413

The Northwest National Marine Renewable Energy Center (NNMREC), headquartered at the Oregon State University, is establishing the capabilities to test prototype wave energy conversion devices in the ocean. This CRADA will leverage the technical expertise and resources at NREL in the wind industry and in ocean engineering to support and enhance the development of the NNMREC Mobile Ocean Test Berth (MOTB). This CRADA will provide direct support to NNMREC by providing design evaluation and review of the MOTB, developing effective protocols for testing of the MOTB and wave energy conversion devices in the ocean, assisting in the specification of appropriate instrumentation and data acquisition packages, and providing guidance on obtaining and maintaining A2LA (American Association for Laboratory Accreditation) accreditation.

16 TIDAL AND WAVE POWER↗

Xylo-Oligosaccharide Process Development, Composition, and Techno-Economic Analysis. Cooperative Research and Development Final Report, CRADA Number CRD-12-483

The purpose of this cooperative work agreement between General Mills Inc. (GMI) and NREL is to determine the feasibility of producing a valuable food ingredient (xylo-oligosaccharides or XOS), a highly soluble fiber material, from agricultural waste streams, at an advantaged cost level relative to similar existing ingredients. The scope of the project includes pilot-scale process development (Task 1), compositional analysis (Task 2), and techno-economic analysis (Task 3).

09 BIOMASS FUELS↗

Final Report, The Influence of Organic-Aerosol Emissions and Aging on Regional and Global Aerosol Size Distributions and the CCN Number Budget

We conducted laboratory experiments and analyzed data on aging of organic aerosol and analysis of field data on volatility and CCN activity. With supplemental ASR funding we participated in the FLAME-IV campaign in Missoula MT in the Fall of 2012, deploying a two-chamber photochemical aging system to enable experimental exploration of photochemical aging of biomass burning emissions. Results from that campaign will lead to numerous publications, including demonstration of photochemical production of Brown Carbon (BrC) from secondary organic aerosol associated with biomass burning emissions as well as extensive characterization of the effect of photochemical aging on the overall concentrations of biomass burning organic aerosol. Excluding publications arising from the FLAME-IV campaign, project research resulted in 8 papers: [11, 5, 3, 10, 12, 4, 8, 7], including on in Nature Geoscience addressing the role of organic compounds in nanoparticle growth [11]

54 ENVIRONMENTAL SCIENCES↗