Additive Manufacturing Integrated Energy—Enabling Innovative Solutions for Buildings of the Future

2016 ◽  
Vol 139 (1) ◽  
Author(s):  
Kaushik Biswas ◽  
James Rose ◽  
Leif Eikevik ◽  
Maged Guerguis ◽  
Philip Enquist ◽  
...  

The additive manufacturing integrated energy (AMIE) demonstration utilized three-dimensional (3D) printing as an enabling technology in the pursuit of construction methods that use less material, create less waste, and require less energy to build and operate. Developed by Oak Ridge National Laboratory (ORNL) in collaboration with the Governor's Chair for Energy and Urbanism, a research partnership of the University of Tennessee (UT) and ORNL led by Skidmore, Owings & Merrill LLP (SOM), AMIE embodies a suite of innovations demonstrating a transformative future for designing, constructing, and operating buildings. Subsequent, independent UT College of Architecture and Design studios taught in collaboration with SOM professionals also explored forms and shapes based on biological systems that naturally integrate structure and enclosure. AMIE, a compact microdwelling developed by ORNL research scientists and SOM designers, incorporates next-generation modified atmosphere insulation (MAI), self-shading windows, and the ability to produce, store, and share solar power with a paired hybrid vehicle. It establishes for the first time, a platform for investigating solutions integrating the energy systems in buildings, vehicles, and the power grid. The project was built with broad-based support from local industry and national material suppliers. Designed and constructed in a span of only 9 months, AMIE 1.0 serves as an example of the rapid innovation that can be accomplished when research, design, academic, and industrial partners work in collaboration toward the common goal of a more sustainable and resilient built environment.

2008 ◽  
Vol 1069 ◽  
Author(s):  
Leon Tolbert ◽  
Hui Zhang ◽  
Burak Ozpineci ◽  
Madhu S. Chinthavali

ABSTRACTThe advantages that silicon carbide (SiC) based power electronic devices offer are being realized by using prototype or experimental devices in many different power applications ranging from medium voltage to high voltage or for high temperature or high switching frequency applications. The main advantages of using SiC-based devices are reduced thermal management requirements and smaller passive components which result in higher power density. An overview of the SiC research effort at Oak Ridge National Laboratory (ORNL) and The University of Tennessee (UT) is presented in this paper.


2017 ◽  
Vol 16 (4) ◽  
pp. ar61 ◽  
Author(s):  
Albrecht G. von Arnim ◽  
Anamika Missra

Leading voices in the biological sciences have called for a transformation in graduate education leading to the PhD degree. One area commonly singled out for growth and innovation is cross-training in computational science. In 1998, the University of Tennessee (UT) founded an intercollegiate graduate program called the UT-ORNL Graduate School of Genome Science and Technology in partnership with the nearby Oak Ridge National Laboratory. Here, we report outcome data that attest to the program’s effectiveness in graduating computationally enabled biologists for diverse careers. Among 77 PhD graduates since 2003, the majority came with traditional degrees in the biological sciences, yet two-thirds moved into computational or hybrid (computational–experimental) positions. We describe the curriculum of the program and how it has changed. We also summarize how the program seeks to establish cohesion between computational and experimental biologists. This type of program can respond flexibly and dynamically to unmet training needs. In conclusion, this study from a flagship, state-supported university may serve as a reference point for creating a stable, degree-granting, interdepartmental graduate program in computational biology and allied areas.


2006 ◽  
Vol 16 (02) ◽  
pp. 733-746 ◽  
Author(s):  
MD HASANUZZAMAN ◽  
SYED K. ISLAM ◽  
LEON M. TOLBERT ◽  
BURAK OZPINECI

In this paper, an analytical model for a vertical double implanted metal-oxide semiconductor (DIMOS) transistor structure in 4H-Silicon Carbide ( SiC ) is presented. Simulation for transport characteristics of the SiC MOSFET with the exact device geometry is carried out using the commercial device simulator MEDICI. A rigorous experimental testing and characterization is done on a 4H- SiC DIMOS transistor test device. SPICE parameters are extracted from the measurements, and a SPICE model for the DIMOS transistor has been developed. The presented work is a part of team efforts of material, device, and power electronics researchers at the University of Tennessee and Oak Ridge National Laboratory.


2019 ◽  
Author(s):  
Scott Poole ◽  

Initiated in April, 2014, The Governor’s Chair for Energy + Urbanism was a $2.25M five-year research partnership between the University of Tennessee, Knoxville, Skidmore, Owings & Merrill, a prominent architecture, interior design, urban planning, and engineering firm with an extensive global practice, and Oak Ridge National Laboratory (ORNL, located near Knoxville, TN, the largest U.S Department of Energy science and technology laboratory.1 While the partnership had multifaceted objectives, they all, in one way or another, had to bridge the prevailing disconnect between academic inquiry, basic scientific research, and practical application.


2004 ◽  
Vol 126 (1) ◽  
pp. 676-679 ◽  
Author(s):  
Dan Dye ◽  
Byard Wood ◽  
Lewis Fraas ◽  
Jeff Muhs

A full-spectrum solar energy system is being designed by a research team lead by Oak Ridge National Laboratory and the University of Nevada, Reno. [1,2] The benchmark collector/receiver and prototype thermophotovoltaic (TPV) array have been built [3], so the work performed here is to match the two systems together for optimal performance. It is shown that a hollow, rectangular-shaped non-imaging (NI) device only 23 cm long can effectively distribute the IR flux incident on the TPV array mounted behind the secondary mirror. Results of the ray-tracing analysis of the different systems tested are presented.


2014 ◽  
Vol 2 (2) ◽  
pp. 91-103
Author(s):  
Krysta Ryzewski ◽  
Hassina Z. Bilheux ◽  
Susan N. Herringer ◽  
Jean-Christophe Bilheux ◽  
Lakeisha Walker ◽  
...  

AbstractNeutron imaging is a nondestructive application capable of producing two- and three-dimensional maps of archaeological objects’ external and internal structure, properties, and composition. This report presents the recent development of neutron imaging data collection and processing methods at Oak Ridge National Laboratory (ORNL), which have been advanced, in part, by information gathered from the experimental imaging of 25 archaeological objects over the past three years. The dual objectives of these imaging experiments included (1) establishing the first methodological procedures for the neutron imaging of archaeomaterials involving the CG-1D beamline and (2) further illustrating the potential of neutron imaging for archaeologists to use in the reverse engineering of ancient and historical objects. Examples of objects imaged in two and three dimensions are provided to highlight the application’s strengths and limitations for archaeological investigations, especially those that address ancient and historic technologies, materials science, and conservation issues.


Author(s):  
Yogesh Dashora ◽  
John W Barnes ◽  
Rekha S Pillai ◽  
Todd E Combs ◽  
Michael Hilliard ◽  
...  

Increasing debates over a gasoline independent future and the reduction of greenhouse gas (GHG) emissions has led to a surge in plug-in hybrid electric vehicles (PHEVs) being developed around the world. The majority of PHEV related research has been directed at improving engine and battery operations, studying future PHEV impacts on the grid, and projecting future PHEV charging infrastructure requirements. Due to the limited all-electric range of PHEVs, a daytime PHEV charging infrastructure will be required for most PHEV daily usage. In this paper, for the first time, we present a mixed integer mathematical programming model to solve the PHEV charging infrastructure planning (PCIP) problem for organizations with thousands of people working within a defined geographic location and parking lots well suited to charging station installations. Our case study, based on the Oak Ridge National Laboratory (ORNL) campus, produced encouraging results, indicates the viability of the modeling approach and substantiates the importance of considering both employee convenience and appropriate grid connections in the PCIP problem.


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