National Library of Energy BETA

Sample records for building benchmark models

  1. Data-Driven Benchmarking of Building Energy Efficiency Utilizing Statistical Frontier Models

    SciTech Connect (OSTI)

    Kavousian, A; Rajagopal, R

    2014-01-01

    Frontier methods quantify the energy efficiency of buildings by forming an efficient frontier (best-practice technology) and by comparing all buildings against that frontier. Because energy consumption fluctuates over time, the efficiency scores are stochastic random variables. Existing applications of frontier methods in energy efficiency either treat efficiency scores as deterministic values or estimate their uncertainty by resampling from one set of measurements. Availability of smart meter data (repeated measurements of energy consumption of buildings) enables using actual data to estimate the uncertainty in efficiency scores. Additionally, existing applications assume a linear form for an efficient frontier; i.e.,they assume that the best-practice technology scales up and down proportionally with building characteristics. However, previous research shows that buildings are nonlinear systems. This paper proposes a statistical method called stochastic energy efficiency frontier (SEEF) to estimate a bias-corrected efficiency score and its confidence intervals from measured data. The paper proposes an algorithm to specify the functional form of the frontier, identify the probability distribution of the efficiency score of each building using measured data, and rank buildings based on their energy efficiency. To illustrate the power of SEEF, this paper presents the results from applying SEEF on a smart meter data set of 307 residential buildings in the United States. SEEF efficiency scores are used to rank individual buildings based on energy efficiency, to compare subpopulations of buildings, and to identify irregular behavior of buildings across different time-of-use periods. SEEF is an improvement to the energy-intensity method (comparing kWh/sq.ft.): whereas SEEF identifies efficient buildings across the entire spectrum of building sizes, the energy-intensity method showed bias toward smaller buildings. The results of this research are expected to assist researchers and practitioners compare and rank (i.e.,benchmark) buildings more robustly and over a wider range of building types and sizes. Eventually, doing so is expected to result in improved resource allocation in energy-efficiency programs.

  2. The NERSC MADBench Benchmark Complete Readme Overview Building...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MADBench The NERSC MADBench Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:10:14...

  3. Federal Building Energy Use Benchmarking Guidance, August 2014...

    Office of Environmental Management (EM)

    Energy Use Benchmarking Guidance, August 2014 Update Federal Building Energy Use Benchmarking Guidance, August 2014 Update Guidance describes the Energy Independence and Security...

  4. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    SciTech Connect (OSTI)

    Mathew, Paul A.; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-08-01

    Complex buildings such as laboratories, data centers and cleanrooms present particular challenges for energy benchmarking because it is difficult to normalize special requirements such as health and safety in laboratories and reliability (i.e., system redundancy to maintain uptime) in data centers which significantly impact energy use. For example, air change requirements vary widely based on the type of work being performed in each laboratory space. We present methods and tools for energy benchmarking in laboratories, as an exemplar of a complex building type. First, we address whole building energy metrics and normalization parameters. We present empirical methods based on simple data filtering as well as multivariate regression analysis on the Labs21 database. The regression analysis showed lab type, lab-area ratio and occupancy hours to be significant variables. Yet the dataset did not allow analysis of factors such as plug loads and air change rates, both of which are critical to lab energy use. The simulation-based method uses an EnergyPlus model to generate a benchmark energy intensity normalized for a wider range of parameters. We suggest that both these methods have complementary strengths and limitations. Second, we present"action-oriented" benchmarking, which extends whole-building benchmarking by utilizing system-level features and metrics such as airflow W/cfm to quickly identify a list of potential efficiency actions which can then be used as the basis for a more detailed audit. While action-oriented benchmarking is not an"audit in a box" and is not intended to provide the same degree of accuracy afforded by an energy audit, we demonstrate how it can be used to focus and prioritize audit activity and track performance at the system level. We conclude with key principles that are more broadly applicable to other complex building types.

  5. Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    source energy for each energy stream. Units: kBTU/ft 2 [kWh/Labs21 benchmarking tool. Energy Stream Electricity Natural

  6. Action-Oriented Benchmarking: Using the CEUS Database to Benchmark Commercial Buildings in California

    SciTech Connect (OSTI)

    Mathew, Paul; Mills, Evan; Bourassa, Norman; Brook, Martha

    2008-02-01

    The 2006 Commercial End Use Survey (CEUS) database developed by the California Energy Commission is a far richer source of energy end-use data for non-residential buildings than has previously been available and opens the possibility of creating new and more powerful energy benchmarking processes and tools. In this article--Part 2 of a two-part series--we describe the methodology and selected results from an action-oriented benchmarking approach using the new CEUS database. This approach goes beyond whole-building energy benchmarking to more advanced end-use and component-level benchmarking that enables users to identify and prioritize specific energy efficiency opportunities - an improvement on benchmarking tools typically in use today.

  7. Building America Research Benchmark Definition: Updated December 2009

    SciTech Connect (OSTI)

    Hendron, R.; Engebrecht, C.

    2010-01-01

    The Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without chasing a 'moving target.'

  8. Building America Research Benchmark Definition, Updated December 2009

    SciTech Connect (OSTI)

    Hendron, Robert; Engebrecht, Cheryn

    2010-01-01

    To track progress toward aggressive multi-year, whole-house energy savings goals of 40%–70% and on-site power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America (BA) Research Benchmark in consultation with the Building America industry teams.

  9. Building America Research Benchmark Definition: Updated December 19, 2008

    SciTech Connect (OSTI)

    Hendron, R.

    2008-12-01

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Building America industry teams.

  10. Building America Research Benchmark Definition, Updated December 19, 2008

    SciTech Connect (OSTI)

    Hendron, R.

    2008-12-19

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Bui

  11. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01

    based method uses an EnergyPlus model to generate aBenchmarking using Labs21 EnergyPlus model A simulation-this approach using an EnergyPlus model for generating the

  12. Advanced benchmarking for complex building types: laboratories as an exemplar.

    E-Print Network [OSTI]

    Mathew, Paul; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-01-01

    based method uses an EnergyPlus model to generate aBenchmarking Using Labs21 EnergyPlus Model A simulation-this approach using an EnergyPlus model for generating the

  13. Federal Building Benchmarking Guidance - August 2014 Update

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14, 20111,FYDepartment of5! Federal Building Energy Use

  14. A framework for benchmarking land models

    SciTech Connect (OSTI)

    Luo, Yiqi; Randerson, J.; Abramowitz, G.; Bacour, C.; Blyth, E.; Carvalhais, N.; Ciais, Philippe; Dalmonech, D.; Fisher, J.B.; Fisher, R.; Friedlingstein, P.; Hibbard, Kathleen A.; Hoffman, F. M.; Huntzinger, Deborah; Jones, C.; Koven, C.; Lawrence, David M.; Li, D.J.; Mahecha, M.; Niu, S.L.; Norby, Richard J.; Piao, S.L.; Qi, X.; Peylin, P.; Prentice, I.C.; Riley, William; Reichstein, M.; Schwalm, C.; Wang, Y.; Xia, J. Y.; Zaehle, S.; Zhou, X. H.

    2012-10-09

    Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine data–model mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.

  15. Energy consumption characterization as an input to building management and performance benchmarking - a case study PPT 

    E-Print Network [OSTI]

    Bernardo, H.; Neves, L.; Oliveira, F.; Quintal, E.

    2012-01-01

    performance characterization of each of its buildings, looking specifically at the typology of canteen. Developing building energy performance benchmarking systems enables the comparison of actual consumption of individual buildings against others of the same...

  16. A Utility Regulator’s Guide to Data Access for Commercial Building Energy Performance Benchmarking

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2013-05-23

    Offers policy options and considerations to state utility commissions in providing access to energy use data to help commercial customers manage energy costs through building energy benchmarking.

  17. DOE Resources Help Measure Building Energy Benchmarking Policy...

    Broader source: Energy.gov (indexed) [DOE]

    assess benchmarking polices in a consistent manner. DOE also sponsored the New York City Benchmarking and Transparency Policy Impact Evaluation Report, which uses the...

  18. Generalized models and benchmarks for channel coordination 

    E-Print Network [OSTI]

    Toptal, Aysegul

    2004-09-30

    Models and Benchmarks for Channel Coordination. (August 2003) Ay¸ ¨ Toptal, B.S., Bilkent University, Turkey; M.S., Bilkent University, Turkey Chair of Advisory Committee: Dr. Sőla Cetinkaya This dissertation takes into account the latest industrial... of the Idea Behind Algorithm 3 . . . . . . . . . . . 58 12 Illustration of the Cost and Material Flows . . . . . . . . . . . . . 89 13 Illustration of Piv(Q) when (c -p)Pv > Rv . . . . . . . . . . . . . . 121 14 Different illustrations of Piv...

  19. Benchmarking the LAHET fission models

    SciTech Connect (OSTI)

    Prael, R.E.

    1995-12-31

    There has been considerable interest in improving the fission models in the LAHET Monte Carlo code for the transport and interaction of nucleons, pions, muons, fight ions, and antinucleons. Although subactinide fission contributes little to neutron production in lead or tungsten targets, it can be significant for simulation of target activation and fission product contamination. The availability of new data permits new comparisons to be made between experiment and calculation.

  20. A Dynamic and Context-Driven Benchmarking Framework for Zero-Net-Energy Buildings

    E-Print Network [OSTI]

    Pala, Nezih

    A Dynamic and Context-Driven Benchmarking Framework for Zero-Net- Energy Buildings Youngcheol Kang1 a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE, there have been various efforts to design and develop zero-net-energy (ZNE) buildings. A ZNE building

  1. Advanced benchmarking for complex building types: laboratories as an exemplar.

    E-Print Network [OSTI]

    Mathew, Paul; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-01-01

    Study of Energy Efficiency in Buildings. ACEEE, Washington©2010 ACEEE Summer Study on Energy Efficiency in BuildingsSummer Study on Energy Efficiency in Buildings Mathew, P. ,

  2. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01

    Study of Energy Efficiency in Buildings. ACEEE, WashingtonStudy of Energy Efficiency in Buildings. ACEEE, Washington,

  3. WASTES II model storage requirements benchmark testing

    SciTech Connect (OSTI)

    Shay, M.R.; Walling, R.C.; Altenhofen, M.K.

    1986-09-01

    A study was conducted to benchmark results obtained from using the Waste System Transportation and Economic Simulation - Version II (WASTES II) model against information published in the ''Spent Fuel Storage Requirements'' report (DOE/RL-84-1). The WASTES model was developed by PNL for use in evaluating the spent-fuel storage and transportation requirements and costs for the US Department of Energy (DOE). The ''Spent Fuel Storage Requirements'' report is issued annually by the DOE and provides both historical/projected spent fuel inventory data and storage requirements data based on information supplied directly from utilities. The objective of this study is to compare the total inventory and storage requirements documented in the ''Spent Fuel Storage Requirements'' report with similar data that results from use of the WASTES model. Three differences have been identified as a result of benchmark testing. Two minor differences are present in the total inventory projected and the equivalent metric tons of uranium of spent fuel requiring storage. These differences result from the way reinserted spent fuel is handled and the methods used to calculate mass equivalents. A third difference is found in the storage requirements for the case that uses intra-utility transshipment. This discrepancy is due to the Oyster Creek reactor, which is shown to not require additional storage in the Spent Fuel Storage Requirements report, even though there is no destination reactor of the same type within its utility. The discrepancy was corrected soon after the 1984 ''Spent Fuel Storage Requirements report was issued and does not appear in more recent documents (DOE/RL-85-2).

  4. Development of a California commercial building benchmarking database

    E-Print Network [OSTI]

    Kinney, Satkartar; Piette, Mary Ann

    2002-01-01

    Summer Study on Energy Efficiency in Buildings (3): 305-316.Study on Energy Efficiency in Buildings, (4): 205-210.Study on Energy Efficiency in Buildings, (4): 177-185.

  5. TSUNAMI BENCHMARK RESULTS FOR FULLY NONLINEAR BOUSSINESQ WAVE MODEL

    E-Print Network [OSTI]

    Kirby, James T.

    TSUNAMI BENCHMARK RESULTS FOR FULLY NONLINEAR BOUSSINESQ WAVE MODEL FUNWAVE-TVD, VERSION 1 by the National Tsunami Hazard Mitigation Program CENTER FOR APPLIED COASTAL RESEARCH Ocean Engineering Laboratory University of Delaware Newark, Delaware 19716 #12;Abstract This report describes tsunami benchmark testing

  6. Building Energy Modeling Library

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM)...

  7. A framework for benchmarking land models

    E-Print Network [OSTI]

    2012-01-01

    their inclu- sion in Earth system models (ESMs). State-of-land models cou- pled to Earth system models should simulateland models within Earth system models, however, can help

  8. The NERSC PMEMD Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PMEMD The NERSC PMEMD Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:55:50...

  9. The NERSC GAMESS Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    GAMESS The NERSC GAMESS Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 14:48:10...

  10. The NERSC MILC Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MILC The NERSC MILC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:12:32...

  11. The NERSC PARATEC Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PARATEC The NERSC PARATEC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:16:06...

  12. The NERSC CAM Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CAM The NERSC CAM Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 14:32:44...

  13. The NERSC GTC Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    GTC The NERSC GTC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:04:18...

  14. A framework for benchmarking land models

    E-Print Network [OSTI]

    2012-01-01

    processes (exchanges of water and energy) and biogeochemicalsimulation of the water and energy balance (Pitman, 2003).models. Exchange of water and energy between land sur- face

  15. Department of Energy Commercial Building Benchmarks (New Construction): Summary of Changes from v1.1_3.1 to v1.2_4.0, October 30, 2009

    Broader source: Energy.gov [DOE]

    This file contains the changes to the new construction building benchmark files from version 1.0_3.0 to version 1.1_3.1.

  16. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19

    I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

  17. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06

    In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

  18. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01

    Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

  19. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27

    I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

  20. A Programming Model Performance Study Using the NAS Parallel Benchmarks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Shan, Hongzhang; Blagojevi?, Filip; Min, Seung-Jai; Hargrove, Paul; Jin, Haoqiang; Fuerlinger, Karl; Koniges, Alice; Wright, Nicholas J.

    2010-01-01

    Harnessing the power of multicore platforms is challenging due to the additional levels of parallelism present. In this paper we use the NAS Parallel Benchmarks to study three programming models, MPI, OpenMP and PGAS to understand their performance and memory usage characteristics on current multicore architectures. To understand these characteristics we use the Integrated Performance Monitoring tool and other ways to measure communication versus computation time, as well as the fraction of the run time spent in OpenMP. The benchmarks are run on two different Cray XT5 systems and an Infiniband cluster. Our results show that in general the threemore »programming models exhibit very similar performance characteristics. In a few cases, OpenMP is significantly faster because it explicitly avoids communication. For these particular cases, we were able to re-write the UPC versions and achieve equal performance to OpenMP. Using OpenMP was also the most advantageous in terms of memory usage. Also we compare performance differences between the two Cray systems, which have quad-core and hex-core processors. We show that at scale the performance is almost always slower on the hex-core system because of increased contention for network resources.« less

  1. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19

    A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

  2. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    The Energy Efficiency Building Performance Standards (EEBPS) are statewide minimum requirements that all new construction and additions to existing buildings must satisfy. Exceptions include...

  3. Review of California and National Methods for Energy Performance Benchmarking of Commercial Buildings

    E-Print Network [OSTI]

    Matson, Nance E.; Piette, Mary Ann

    2005-01-01

    to compare a given building’s energy performance to that ofof a given building’s energy performance based on thetheir building’s energy use intensities and performance to

  4. Building Energy Modeling Insights | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. September 3, 2015 Unmet Hours is a question-and-answer resource for the building energy modeling...

  5. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01

    Study of Energy Efficiency in Buildings. ACEEE, Washington,3)Financing Your Energy Efficiency Projects Building Energywith  Commercial   Building  Energy  Efficiency   Provide  

  6. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    LBNL-6034E Comparison of Building Energy Modeling Programs: Building Loads Dandan Zhu1 , Tianzhen Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U;Comparison of Building Energy Modeling Programs: Building Loads A joint effort between Lawrence Berkeley

  7. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document thoroughly to make sure all the data needed for their calculations is provided in the document. Missing data will be added to a revision of the document if necessary.

  8. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01

    2010 ACEEE Summer Study of Energy Efficiency in Buildings.Concepts and Tools." Energy Engineering. Volume 105, NumberU.S. Department of Energy. (2010). “ARRA Commercial Building

  9. Autotune Building Energy Models

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research atDepartmentAuditsDepartment of(TEG)ofAutotune Building

  10. Review of California and National Methods for Energy Performance Benchmarking of Commercial Buildings

    E-Print Network [OSTI]

    Matson, Nance E.; Piette, Mary Ann

    2005-01-01

    EUIs (less energy consumption per square foot per year),Building energy usage is normalized per square foot perBuilding energy usage is normalized per square foot per

  11. Building America Best Practices Series Volume 15: 40% Whole-House...

    Broader source: Energy.gov (indexed) [DOE]

    climate can build homes that achieve whole house energy savings of 40% over the Building America benchmark (the 1993 Model Energy Code) with no added overall costs for...

  12. Guide for Benchmarking Residential Energy Efficiency Program...

    Broader source: Energy.gov (indexed) [DOE]

    Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program. Guide for Benchmarking Residential Energy Efficiency Program...

  13. Results of the 2013 UT modeling benchmark obtained with models implemented in CIVA

    SciTech Connect (OSTI)

    Toullelan, Gwénaël; Raillon, Raphaële; Chatillon, Sylvain; Lonne, Sébastien

    2014-02-18

    The 2013 Ultrasonic Testing (UT) modeling benchmark concerns direct echoes from side drilled holes (SDH), flat bottom holes (FBH) and corner echoes from backwall breaking artificial notches inspected with a matrix phased array probe. This communication presents the results obtained with the models implemented in the CIVA software: the pencilmodel is used to compute the field radiated by the probe, the Kirchhoff approximation is applied to predict the response of FBH and notches and the SOV (Separation Of Variables) model is used for the SDH responses. The comparison between simulated and experimental results are presented and discussed.

  14. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    Stromberg, and S.O. Woodall. "Passive Solar Buildings: ASome Analytic Models of Passive Solar Building Per­at the Third National Passive Solar Conference, San Jose,

  15. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    Model Predictive Control and Thermal Storage: a Simple 3.3of Building Thermal Storage”. In: ASHRAE Transactions 96.2 (and Passive Building Thermal Storage”. In: International

  16. PHOTOCHEMISTRY IN TERRESTRIAL EXOPLANET ATMOSPHERES. I. PHOTOCHEMISTRY MODEL AND BENCHMARK CASES

    SciTech Connect (OSTI)

    Hu Renyu; Seager, Sara; Bains, William

    2012-12-20

    We present a comprehensive photochemistry model for exploration of the chemical composition of terrestrial exoplanet atmospheres. The photochemistry model is designed from the ground up to have the capacity to treat all types of terrestrial planet atmospheres, ranging from oxidizing through reducing, which makes the code suitable for applications for the wide range of anticipated terrestrial exoplanet compositions. The one-dimensional chemical transport model treats up to 800 chemical reactions, photochemical processes, dry and wet deposition, surface emission, and thermal escape of O, H, C, N, and S bearing species, as well as formation and deposition of elemental sulfur and sulfuric acid aerosols. We validate the model by computing the atmospheric composition of current Earth and Mars and find agreement with observations of major trace gases in Earth's and Mars' atmospheres. We simulate several plausible atmospheric scenarios of terrestrial exoplanets and choose three benchmark cases for atmospheres from reducing to oxidizing. The most interesting finding is that atomic hydrogen is always a more abundant reactive radical than the hydroxyl radical in anoxic atmospheres. Whether atomic hydrogen is the most important removal path for a molecule of interest also depends on the relevant reaction rates. We also find that volcanic carbon compounds (i.e., CH{sub 4} and CO{sub 2}) are chemically long-lived and tend to be well mixed in both reducing and oxidizing atmospheres, and their dry deposition velocities to the surface control the atmospheric oxidation states. Furthermore, we revisit whether photochemically produced oxygen can cause false positives for detecting oxygenic photosynthesis, and find that in 1 bar CO{sub 2}-rich atmospheres oxygen and ozone may build up to levels that have conventionally been accepted as signatures of life, if there is no surface emission of reducing gases. The atmospheric scenarios presented in this paper can serve as the benchmark atmospheres for quickly assessing the lifetime of trace gases in reducing, weakly oxidizing, and highly oxidizing atmospheres on terrestrial exoplanets for the exploration of possible biosignature gases.

  17. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    of day for simple passive buildings with free-floating (and S.O. Woodall. "Passive Solar Buildings: A Compilation ofAnalytic Models of Passive Solar Building Per­ formance."

  18. Benchmarking a Visual-Basic based multi-component one-dimensional reactive transport modeling tool

    E-Print Network [OSTI]

    Clement, Prabhakar

    Benchmarking a Visual-Basic based multi-component one-dimensional reactive transport modeling tool Jagadish Torlapati 1 , T. Prabhakar Clement n Department of Civil Engineering, Auburn University, Auburn transport Bioremediation Geochemical transport Numerical model a b s t r a c t We present the details

  19. Comparison of practical vertical ground heat exchanger sizing methods to a Fort Polk data/model benchmark

    SciTech Connect (OSTI)

    Thornton, J.W.; McDowell, T.P.; Hughes, P.J.

    1997-09-01

    The results of five practical vertical ground heat exchanger sizing programs are compared against a detailed simulation model that has been calibrated to monitored data taken from one military family housing unit at Fort Polk, Louisiana. The calibration of the detailed model to data is described in a companion paper. The assertion that the data/detailed model is a useful benchmark for practical sizing methods is based on this calibration. The results from the comparisons demonstrate the current level of agreement between vertical ground heat exchanger sizing methods in common use. It is recommended that the calibration and comparison exercise be repeated with data sets from additional sites in order to build confidence in the practical sizing methods.

  20. Integrating Building Information Modeling with Object-Oriented Physical Modeling for Building Thermal Simulation 

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05

    This study presents a Building Information Modeling (BIM) to Building Energy Modeling (BEM) translation framework (BIM2BEM) through the integration of BIM with Object-Oriented Physical Modeling (OOPM) for building thermal simulation to support...

  1. DIAGNOSING, BENCHMARKING AND TRANSFORMING THE LEED CERTIFIED FIU SIPA BUILDING INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB)

    E-Print Network [OSTI]

    Pala, Nezih

    with a score of 61.9590 kBTU per square foot. (The Environmental Protection Agency established kBTU per square foot as the key performance indicator for energy efficiency in its Energy Star rating program.) However INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB) Thomas Spiegelhalter Florida International University

  2. Seismo-acoustic ray model benchmarking against experimental Orlando Camargo Rodrigueza)

    E-Print Network [OSTI]

    . The ray solution to the acoustic wave equation is an asymptotic approximation, which improves as frequencySeismo-acoustic ray model benchmarking against experimental tank data Orlando Camargo Rodri Harry J. Simpson Physical Acoustic Branch Code 7136, Naval Research Laboratory, 4555 Overlook Avenue

  3. The Structure of Tradeoffs in Model Building

    E-Print Network [OSTI]

    Weisberg, Michael

    The Structure of Tradeoffs in Model Building John Matthewson Australia National University Michael of model building depending on their theoretical goals (1966). His own discussion argued that a three three types of tradeoff relevant for model building. After giving definitions for these, we investigate

  4. Development of a HEX-Z Partially Homogenized Benchmark Model for the FFTF Isothermal Physics Measurements

    SciTech Connect (OSTI)

    John D. Bess

    2012-05-01

    A series of isothermal physics measurements were performed as part of an acceptance testing program for the Fast Flux Test Facility (FFTF). A HEX-Z partially-homogenized benchmark model of the FFTF fully-loaded core configuration was developed for evaluation of these measurements. Evaluated measurements include the critical eigenvalue of the fully-loaded core, two neutron spectra, 32 reactivity effects measurements, an isothermal temperature coefficient, and low-energy gamma and electron spectra. Dominant uncertainties in the critical configuration include the placement of radial shielding around the core, reactor core assembly pitch, composition of the stainless steel components, plutonium content in the fuel pellets, and boron content in the absorber pellets. Calculations of criticality, reactivity effects measurements, and the isothermal temperature coefficient using MCNP5 and ENDF/B-VII.0 cross sections with the benchmark model are in good agreement with the benchmark experiment measurements. There is only some correlation between calculated and measured spectral measurements; homogenization of many of the core components may have impacted computational assessment of these measurements. This benchmark evaluation has been added to the IRPhEP Handbook.

  5. Summary of FY15 results of benchmark modeling activities

    SciTech Connect (OSTI)

    Arguello, J. Guadalupe

    2015-08-01

    Sandia is participating in the third phase of an is a contributing partner to a U.S.-German "Joint Project" entitled "Comparison of current constitutive models and simulation procedures on the basis of model calculations of the thermo-mechanical behavior and healing of rock salt." The first goal of the project is to check the ability of numerical modeling tools to correctly describe the relevant deformation phenomena in rock salt under various influences. Achieving this goal will lead to increased confidence in the results of numerical simulations related to the secure storage of radioactive wastes in rock salt, thereby enhancing the acceptance of the results. These results may ultimately be used to make various assertions regarding both the stability analysis of an underground repository in salt, during the operating phase, and the long-term integrity of the geological barrier against the release of harmful substances into the biosphere, in the post-operating phase.

  6. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01

    energy model output includes a predicted British thermal unit (Btu) per square footenergy use intensity (EUI) metric such as a thousand Btu per square foot (per square foot (kWh/sf) (or another useful metric) will allow you better assess changes in energy

  7. Benchmarks used

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a set of benchmarks described below, different optimization options for the different compilers on Edison. The compilers are also compared against one another on the benchmarks....

  8. Low frequency eddy current benchmark study for model validation

    SciTech Connect (OSTI)

    Mooers, R. D.; Boehnlein, T. R. [University of Dayton Research Institute, Structural Integrity Division, Dayton, OH, 45469 (United States); Cherry, M. R.; Knopp, J. S. [Air Force Research Lab, NDE Division, Wright Patterson, OH 45433 (United States); Aldrin, J. C. [Computational Tools, Gurnee, IL 60031 (United States); Sabbagh, H. A. [Victor Technologies LLC, Bloomington, IN 47401 (United States)

    2011-06-23

    This paper presents results of an eddy current model validation study. Precise measurements were made using an impedance analyzer to investigate changes in impedance due to Electrical Discharge Machining (EDM) notches in aluminum plates. Each plate contained one EDM notch at an angle of 0, 10, 20, or 30 degrees from the normal of the plate surface. Measurements were made with the eddy current probe both scanning parallel and perpendicular to the notch length. The experimental response from the vertical and oblique notches will be reported and compared to results from different numerical simulation codes.

  9. A Utility Regulator's Guide to Data Access for Commercial Building...

    Broader source: Energy.gov (indexed) [DOE]

    benchmarking. A Utility Regulator's Guide to Data Access for Commercial Building Energy Performance Benchmarking More Documents & Publications Better Buildings Challenge...

  10. Better Buildings Neighborhood Program Business Models Guide

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  11. An international land-biosphere model benchmarking activity for the IPCC Fifth Assessment Report (AR5)

    SciTech Connect (OSTI)

    Hoffman, Forrest M [ORNL; Randerson, James T [ORNL; Thornton, Peter E [ORNL; Bonan, Gordon [National Center for Atmospheric Research (NCAR); Erickson III, David J [ORNL; Fung, Inez [University of California, Berkeley

    2009-12-01

    The need to capture important climate feedbacks in general circulation models (GCMs) has resulted in efforts to include atmospheric chemistry and land and ocean biogeochemistry into the next generation of production climate models, called Earth System Models (ESMs). While many terrestrial and ocean carbon models have been coupled to GCMs, recent work has shown that such models can yield a wide range of results (Friedlingstein et al., 2006). This work suggests that a more rigorous set of global offline and partially coupled experiments, along with detailed analyses of processes and comparisons with measurements, are needed. The Carbon-Land Model Intercomparison Project (C-LAMP) was designed to meet this need by providing a simulation protocol and model performance metrics based upon comparisons against best-available satellite- and ground-based measurements (Hoffman et al., 2007). Recently, a similar effort in Europe, called the International Land Model Benchmark (ILAMB) Project, was begun to assess the performance of European land surface models. These two projects will now serve as prototypes for a proposed international land-biosphere model benchmarking activity for those models participating in the IPCC Fifth Assessment Report (AR5). Initially used for model validation for terrestrial biogeochemistry models in the NCAR Community Land Model (CLM), C-LAMP incorporates a simulation protocol for both offline and partially coupled simulations using a prescribed historical trajectory of atmospheric CO2 concentrations. Models are confronted with data through comparisons against AmeriFlux site measurements, MODIS satellite observations, NOAA Globalview flask records, TRANSCOM inversions, and Free Air CO2 Enrichment (FACE) site measurements. Both sets of experiments have been performed using two different terrestrial biogeochemistry modules coupled to the CLM version 3 in the Community Climate System Model version 3 (CCSM3): the CASA model of Fung, et al., and the carbon-nitrogen (CN) model of Thornton. Comparisons of the CLM3 offline results against observational datasets have been performed and are described in Randerson et al. (2009). CLM version 4 has been evaluated using C-LAMP, showing improvement in many of the metrics. Efforts are now underway to initiate a Nitrogen-Land Model Intercomparison Project (N-LAMP) to better constrain the effects of the nitrogen cycle in biosphere models. Presented will be new results from C-LAMP for CLM4, initial N-LAMP developments, and the proposed land-biosphere model benchmarking activity.

  12. Benchmarking and Transparency Policy and Program Impact Evaluation...

    Office of Environmental Management (EM)

    the Impact of Benchmarking & Transparency - Methodologies and the NYC Example New York City Benchmarking and Transparency Policy Impact Evaluation Report Building Energy...

  13. A parallel high-order accurate finite element nonlinear Stokes ice sheet model and benchmark experiments

    SciTech Connect (OSTI)

    Leng, Wei [Chinese Academy of Sciences; Ju, Lili [University of South Carolina; Gunzburger, Max [Florida State University; Price, Stephen [Los Alamos National Laboratory; Ringler, Todd [Los Alamos National Laboratory,

    2012-01-01

    The numerical modeling of glacier and ice sheet evolution is a subject of growing interest, in part because of the potential for models to inform estimates of global sea level change. This paper focuses on the development of a numerical model that determines the velocity and pressure fields within an ice sheet. Our numerical model features a high-fidelity mathematical model involving the nonlinear Stokes system and combinations of no-sliding and sliding basal boundary conditions, high-order accurate finite element discretizations based on variable resolution grids, and highly scalable parallel solution strategies, all of which contribute to a numerical model that can achieve accurate velocity and pressure approximations in a highly efficient manner. We demonstrate the accuracy and efficiency of our model by analytical solution tests, established ice sheet benchmark experiments, and comparisons with other well-established ice sheet models.

  14. Building Energy Modeling (BEM) Program Overview

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Amir Roth, Ph.D. amir.roth@ee.doe.gov Building Energy Modeling (BEM) Program Overview http:energy.goveerebuildingsbuilding-energy-modeling 2 BEM: An Energy-Efficiency...

  15. Report on High Performance Building's Energy Modeling, Physical Building Information Modeling for Solar Building Design and Simulation 

    E-Print Network [OSTI]

    Alcocer, J.; Haberl, J. S.

    2012-01-01

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy ...

  16. Better Buildings Neighborhood Program Business Models Guide: Program Administrator Description

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Program Administrator Business Models, Program Administrator Description.

  17. MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL

    E-Print Network [OSTI]

    Ihler, Alexander

    MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms--- sensor Knowledge of the number of people in a building at a given time is crucial for applications

  18. MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL

    E-Print Network [OSTI]

    Ihler, Alexander

    MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms-- sensor Knowledge of the number of people in a building at a given time is crucial for applications

  19. Dark Current and Multipacting Capabilities in OPAL: Model Benchmarks and Applications

    E-Print Network [OSTI]

    Wang, C; Yin, Z G; Zhang, T J

    2012-01-01

    Dark current and multiple electron impacts (multipacting), as for example observed in radio frequency (RF) structures of accelerators, are usually harmful to the equipment and the beam quality. These effects need to be suppressed to guarantee efficient and stable operation. Large scale simulations can be used to understand causes and develop strategies to suppress these phenomenas. We extend \\opal, a parallel framework for charged particle optics in accelerator structures and beam lines, with the necessary physics models to efficiently and precisely simulate multipacting phenomenas. We added a Fowler-Nordheim field emission model, two secondary electron emission models, developed by Furman-Pivi and Vaughan respectively, as well as efficient 3D boundary geometry handling capabilities. The models and their implementation are carefully benchmark against a non-stationary multipacting theory for the classic parallel plate geometry. A dedicated, parallel plate experiment is sketched.

  20. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    . With buildings being the largest single sector of energy consumption, building efficiency is one of the fastest of energy efficiency for buildings is being able to realistically model specific building types; however

  1. Model Simulating Real Domestic Hot Water Use - Building America...

    Energy Savers [EERE]

    Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Image of a pipe...

  2. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01

    &R RESEARCH OCTOBER 2006 1141 Uncalibrated Building Energy Simulation Modeling Results Mushtaq Ahmad Charles H. Culp, PhD, PE Associate Member ASHRAE Fellow ASHRAE Received June 23, 2005; accepted April 17, 2006 Uncalibrated simulations have provided useful... was to analyze the performance of four uncali- brated simulation models using DOE-2.1E Version 119 (Ayres and Stamper 1995) as the simula- tion package. The four buildings were randomly selected from a building data base (LoanSTAR 2005). Three of the four...

  3. Physical Model Development and Benchmarking for MHD Flows in Blanket Design

    SciTech Connect (OSTI)

    Ramakanth Munipalli; P.-Y.Huang; C.Chandler; C.Rowell; M.-J.Ni; N.Morley; S.Smolentsev; M.Abdou

    2008-06-05

    An advanced simulation environment to model incompressible MHD flows relevant to blanket conditions in fusion reactors has been developed at HyPerComp in research collaboration with TEXCEL. The goals of this phase-II project are two-fold: The first is the incorporation of crucial physical phenomena such as induced magnetic field modeling, and extending the capabilities beyond fluid flow prediction to model heat transfer with natural convection and mass transfer including tritium transport and permeation. The second is the design of a sequence of benchmark tests to establish code competence for several classes of physical phenomena in isolation as well as in select (termed here as “canonical”,) combinations. No previous attempts to develop such a comprehensive MHD modeling capability exist in the literature, and this study represents essentially uncharted territory. During the course of this Phase-II project, a significant breakthrough was achieved in modeling liquid metal flows at high Hartmann numbers. We developed a unique mathematical technique to accurately compute the fluid flow in complex geometries at extremely high Hartmann numbers (10,000 and greater), thus extending the state of the art of liquid metal MHD modeling relevant to fusion reactors at the present time. These developments have been published in noted international journals. A sequence of theoretical and experimental results was used to verify and validate the results obtained. The code was applied to a complete DCLL module simulation study with promising results.

  4. Analytical solutions for benchmarking cold regions subsurface water flow and energy transport models: One-dimensional soil thaw

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    Analytical solutions for benchmarking cold regions subsurface water flow and energy transport Freezing and thawing a b s t r a c t Numerous cold regions water flow and energy transport models have of powerful simulators of cold regions subsurface water flow and energy transport have emerged in recent years

  5. A Benchmarking Technique for DBMS`s with Advanced Data Models

    E-Print Network [OSTI]

    Chen, Shu-Ching

    of Computer Science Florida International University, University Park, Miami, FL 33199 (305)348-1706, Fax (305 of database benchmarks currently in use in the industry were designed for relational databases. A different is more efficient for this particular class. Benchmarks used in the industry today are always oriented

  6. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    ALC) system. ALC is a building automation system, offering aModern digital building automation systems satisfy thesemore sophisticated building automation systems and building

  7. Building an MLR Model Building a multiple linear regression (MLR) model from data is one of the

    E-Print Network [OSTI]

    Olive, David

    Chapter 3 Building an MLR Model Building a multiple linear regression (MLR) model from data is one- imation to the data can be difficult. Model building is an iterative process. Given the problem and data, spend about 1/8 of the budget to collect data and build an initial MLR model. Spend another 1

  8. Energy Benchmarking, Rating, and Disclosure for Local Governments

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how access to energy use data can help local governments create policies for benchmarking and disclosing building energy performance for public and private sector buildings.

  9. Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation 

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01

    Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified...

  10. Iterative-build OMIT maps: map improvement by iterative model building and refinement without model bias

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Adams, Paul D. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2008-05-01

    An OMIT procedure is presented that has the benefits of iterative model building density modification and refinement yet is essentially unbiased by the atomic model that is built. A procedure for carrying out iterative model building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite ‘iterative-build’ OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular-replacement structure and with an experimentally phased structure and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  11. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    Control for Active and Passive Building Thermal Storage”.Control for Active and Passive Building Thermal StorageControl for Active and Passive Building Thermal Storage

  12. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.

  13. Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion, Summary of Retailer Insights.

  14. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model.

  15. Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion, Summary of Remodeler Insights.

  16. Model Building with F-Theory

    E-Print Network [OSTI]

    Ron Donagi; Martijn Wijnholt

    2012-04-03

    Despite much recent progress in model building with D-branes, it has been problematic to find a completely convincing explanation of gauge coupling unification. We extend the class of models by considering F-theory compactifications, which may incorporate unification more naturally. We explain how to derive the charged chiral spectrum and Yukawa couplings in N=1 compactifications of F-theory with G-flux. In a class of models which admit perturbative heterotic duals, we show that the F-theory and heterotic computations match.

  17. Progress in D-brane model building

    E-Print Network [OSTI]

    Fernando Marchesano

    2007-03-05

    The state of the art in D-brane model building is briefly reviewed, focusing on recent achievements in the construction of D=4 N = 1 type II string vacua with semi-realistic gauge sectors. Such progress relies on a better understanding of the spectrum of BPS D-branes, the effective field theory obtained from them and the explicit construction of vacua. We first consider D-branes in standard Calabi-Yau compactifications, and then the more involved case of compactifications with fluxes. We discuss how the non-trivial interplay between D-branes and fluxes modifies the previous model-building rules, as well as provides new possibilities to connect string theory to particle physics.

  18. Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2011 

    E-Print Network [OSTI]

    Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

    2011-01-01

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy ...

  19. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect (OSTI)

    Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

    2008-03-01

    This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

  20. Markovian Models for Electrical Load Prediction in Smart Buildings

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

  1. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    LBNL-5566E SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION Author(s), James O;SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION James O'Donnell1 Richard See2 , Cody exist within industry-standard data models as used by present-day whole-building energy simulation

  2. Building Project Model Support for Automated Labor Monitoring

    E-Print Network [OSTI]

    Sacks, Rafael

    that full integration of automated data monitoring systems with building project models BPM is an effectiveBuilding Project Model Support for Automated Labor Monitoring R. Sacks1 ; R. Navon2 ; and E ADC , offers a solution to the problem. Integration with a computerized building project model BPM

  3. Dark Matter Benchmark Models for Early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum

    E-Print Network [OSTI]

    Daniel Abercrombie; Nural Akchurin; Ece Akilli; Juan Alcaraz Maestre; Brandon Allen; Barbara Alvarez Gonzalez; Jeremy Andrea; Alexandre Arbey; Georges Azuelos; Patrizia Azzi; Mihailo Backovi?; Yang Bai; Swagato Banerjee; James Beacham; Alexander Belyaev; Antonio Boveia; Amelia Jean Brennan; Oliver Buchmueller; Matthew R. Buckley; Giorgio Busoni; Michael Buttignol; Giacomo Cacciapaglia; Regina Caputo; Linda Carpenter; Nuno Filipe Castro; Guillelmo Gomez Ceballos; Yangyang Cheng; John Paul Chou; Arely Cortes Gonzalez; Chris Cowden; Francesco D'Eramo; Annapaola De Cosa; Michele De Gruttola; Albert De Roeck; Andrea De Simone; Aldo Deandrea; Zeynep Demiragli; Anthony DiFranzo; Caterina Doglioni; Tristan du Pree; Robin Erbacher; Johannes Erdmann; Cora Fischer; Henning Flaecher; Patrick J. Fox; Benjamin Fuks; Marie-Helene Genest; Bhawna Gomber; Andreas Goudelis; Johanna Gramling; John Gunion; Kristian Hahn; Ulrich Haisch; Roni Harnik; Philip C. Harris; Kerstin Hoepfner; Siew Yan Hoh; Dylan George Hsu; Shih-Chieh Hsu; Yutaro Iiyama; Valerio Ippolito; Thomas Jacques; Xiangyang Ju; Felix Kahlhoefer; Alexis Kalogeropoulos; Laser Seymour Kaplan; Lashkar Kashif; Valentin V. Khoze; Raman Khurana; Khristian Kotov; Dmytro Kovalskyi; Suchita Kulkarni; Shuichi Kunori; Viktor Kutzner; Hyun Min Lee; Sung-Won Lee; Seng Pei Liew; Tongyan Lin; Steven Lowette; Romain Madar; Sarah Malik; Fabio Maltoni; Mario Martinez Perez; Olivier Mattelaer; Kentarou Mawatari; Christopher McCabe; Théo Megy; Enrico Morgante; Stephen Mrenna; Siddharth M. Narayanan; Andy Nelson; Sérgio F. Novaes; Klaas Ole Padeken; Priscilla Pani; Michele Papucci; Manfred Paulini; Christoph Paus; Jacopo Pazzini; Björn Penning; Michael E. Peskin; Deborah Pinna; Massimiliano Procura; Shamona F. Qazi; Davide Racco; Emanuele Re; Antonio Riotto; Thomas G. Rizzo; Rainer Roehrig; David Salek; Arturo Sanchez Pineda; Subir Sarkar; Alexander Schmidt; Steven Randolph Schramm; William Shepherd; Gurpreet Singh; Livia Soffi; Norraphat Srimanobhas; Kevin Sung; Tim M. P. Tait; Timothee Theveneaux-Pelzer; Marc Thomas; Mia Tosi; Daniele Trocino; Sonaina Undleeb; Alessandro Vichi; Fuquan Wang; Lian-Tao Wang; Ren-Jie Wang; Nikola Whallon; Steven Worm; Mengqing Wu; Sau Lan Wu; Hongtao Yang; Yong Yang; Shin-Shan Yu; Bryan Zaldivar; Marco Zanetti; Zhiqing Zhang; Alberto Zucchetta

    2015-07-03

    This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.

  4. Cleanroom energy benchmarking results

    E-Print Network [OSTI]

    Tschudi, William; Xu, Tengfang

    2001-01-01

    emeu/consumption) Cleanroom benchmarking results, (http://Fok, and P. Rumsey. 2001. Cleanroom Energy Benchmarking inin the proceedings. Cleanroom Energy Benchmarking Results

  5. Influence of two dynamic predictive clothing insulation models on building energy performance

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01

    Clothing Model Impact on Building Energy PerformanceInsulation Models on Building Energy Performance K. H. LeeModel Impact on Building Energy Performance is one of the

  6. A higher order discontinuous Galerkin, global shallow water model: Global ocean tides and aquaplanet benchmarks

    E-Print Network [OSTI]

    Peltier, W. Richard

    and aquaplanet benchmarks H. Salehipour , G.R. Stuhne, W.R. Peltier Physics Department, University of Toronto, not only under modern global warming conditions but also in the deep past (Griffiths and Peltier, 2008; Griffiths and Peltier, 2009; Egbert et al., 2004; Uehara et al., 2006). In order to better address all

  7. Interfacing BIM with Building Thermal and Daylighting Modeling 

    E-Print Network [OSTI]

    Yan, Wei; Clayton, Mark; Haberl, Jeff; WoonSeong, Jeong; Bun Kim, Jong; Sandeep, Kota; Bermudez, Jose; Dixit, Manish

    2013-01-01

    and development of system interfaces between Building Information Modeling (BIM) and Building Energy Modeling (BEM), for supporting integrated architectural design and energy simulation. Our methods utilize the BIM authoring tools’ Application Programming..., and B. Saxhof. (2003). Solar energy houses: strategies, technologies, examples. Earthscan. Lee, G., R. Sacks, and C. M. Eastman. (2006). Specifying parametric building object behavior (BOB) for a building information modeling system. Automation...

  8. Iterative build OMIT maps: Map improvement by iterative model-building and refinement without model bias

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2008-02-12

    A procedure for carrying out iterative model-building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite 'Iterative-Build' OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular replacement structure and with an experimentally-phased structure, and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  9. DOE TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey

    Office of Energy Efficiency and Renewable Energy (EERE)

    A growing number of local governments and states are collecting building benchmarking data from thousands of public and private building owners. Data cleansing is a critical step prior to analysis...

  10. Gauge symmetry breaking in orbifold model building

    E-Print Network [OSTI]

    Michele Trapletti

    2006-11-02

    We review the gauge symmetry breaking mechanism due to orbifold projections in orbifold model building. We explicitly show the existence of a scale of breaking if such a symmetry breaking is due to freely-acting orbifold operators only, i.e. in case the breaking is realized non-locally in the internal space. We show that such a scale is related to the compactification moduli only, and that there are no extra continuous parameters, at least in semirealistic models with N=1 SUSY in four dimensions. In this sense, the mechanism is peculiarly different from the standard Higgs (or Hosotani) symmetry breaking mechanism. We show that the mechanism also differs from that present in standard orbifold models where, even in presence of discrete Wilson lines, a scale of breaking is generically missing, since the breaking is localized in specific points in the internal space. We review a set of background geometries where the described non-local breaking is realized, both in the case of two and six extra dimensions. In the latter case, relevant in string model building, we consider both heterotic and open string compactifications.

  11. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    solution”. In: Energy and Buildings 52.0 (2012), pp. 39–49.with GenOpt”. In: Energy and Buildings 42.7 (2010), pp.lation Program”. In: Energy and Buildings 33.4 (2001), pp.

  12. Accelerated Randomized Benchmarking

    E-Print Network [OSTI]

    Christopher Granade; Christopher Ferrie; D. G. Cory

    2014-09-24

    Quantum information processing offers promising advances for a wide range of fields and applications, provided that we can efficiently assess the performance of the control applied in candidate systems. That is, we must be able to determine whether we have implemented a desired gate, and refine accordingly. Randomized benchmarking reduces the difficulty of this task by exploiting symmetries in quantum operations. Here, we bound the resources required for benchmarking and show that, with prior information, we can achieve several orders of magnitude better accuracy than in traditional approaches to benchmarking. Moreover, by building on state-of-the-art classical algorithms, we reach these accuracies with near-optimal resources. Our approach requires an order of magnitude less data to achieve the same accuracies and to provide online estimates of the errors in the reported fidelities. We also show that our approach is useful for physical devices by comparing to simulations. Our results thus enable the application of randomized benchmarking in new regimes, and dramatically reduce the experimental effort required to assess control fidelities in quantum systems. Finally, our work is based on open-source scientific libraries, and can readily be applied in systems of interest.

  13. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  14. Relational Agents: A Model and Implementation of Building User Trust

    E-Print Network [OSTI]

    Bickmore, Timothy

    ; essentially a passive strategy for relationship building. What these systems lack are explicit behaviorsRelational Agents: A Model and Implementation of Building User Trust Timothy Bickmore, Justine}@media.mit.edu ABSTRACT Building trust with users is crucial in a wide range of applications, such as advice

  15. Using Simulation Models for Building Commissioning 

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01

    The International Energy Agency ECBCS Annex 40 “Commissioning of Buildings and HVAC Systems for Improved Energy Performance” task investigating Use of Whole Building Simulation in Commissioning has identified the following applications of whole...

  16. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    solar radiation, occupancy, and electrical devices in the buildings as a function of weather information, time, and date.solar radiation, occupancy, and electrical devices in the buildings as a function of weather information, time, and date.

  17. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion, Summary of HVAC Contractor Insights.

  18. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    Solar Buildings: A Compilation of Data and Results." Sandia Laboratories, SAND 77-1204, Albuquerque, New Mexico,

  19. CASL - Initial Validation and Benchmark Study of new 3D CRUD Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransenBusinessInitial Validation and Benchmark Study of new

  20. Information Modelling for Sustainable Buildings Matija Knig

    E-Print Network [OSTI]

    Dustdar, Schahram

    for Energy Efficiency (EE) and the use of Renewable Energy Sources (RES) in buildings. How- ever in buildings related to energy efficiency. Categories and Subject Descriptors H.4.0 [Information Systems- pects of building sustainability, especially Energy Efficiency (EE) and Renewable Energy Sources (RES

  1. Concrete Model Descriptions and Summary of Benchmark Studies for Blast Effects Simulations

    SciTech Connect (OSTI)

    Noble, C; Kokko, E; Darnell, I; Dunn, T; Hagler, L; Leininger, L

    2005-07-21

    Concrete is perhaps one of the most widely used construction materials in the world. Engineers use it to build massive concrete dams, concrete waterways, highways, bridges, and even nuclear reactors. The advantages of using concrete is that it can be cast into any desired shape, it is durable, and very economical compared to structural steel. The disadvantages are its low tensile strength, low ductility, and low strength-to-weight ratio. Concrete is a composite material that consists of a coarse granular material, or aggregate, embedded in a hard matrix of material, or cement, which fills the gaps between the aggregates and binds them together. Concrete properties, however, vary widely. The properties depend on the choice of materials used and the proportions for a particular application, as well as differences in fabrication techniques. Table 1 provides a listing of typical engineering properties for structural concrete. Properties also depend on the level of concrete confinement, or hydrostatic pressure, the material is being subjected to. In general, concrete is rarely subjected to a single axial stress. The material may experience a combination of stresses all acting simultaneously. The behavior of concrete under these combined stresses are, however, extremely difficult to characterize. In addition to the type of loading, one must also consider the stress history of the material. Failure is determined not only by the ultimate stresses, but also by the rate of loading and the order in which these stresses were applied. The concrete model described herein accounts for this complex behavior of concrete. It was developed by Javier Malvar, Jim Wesevich, and John Crawford of Karagozian and Case, and Don Simon of Logicon RDA in support of the Defense Threat Reduction Agency's programs. The model is an enhanced version of the Concrete/Geological Material Model 16 in the Lagrangian finite element code DYNA3D. The modifications that were made to the original model ensured that the material response followed experimental observations for standard uniaxial, biaxial, and triaxial tests for both tension and compression type loading. A disadvantage of using this material model, however, is the overwhelming amount of input that is required from the user. Therefore, the goal of this report is to provide future users with the tools necessary for successfully using this model.

  2. Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Adams, Paul D., E-mail: terwilliger@lanl.gov [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States)

    2008-01-01

    The highly automated PHENIX AutoBuild wizard is described. The procedure can be applied equally well to phases derived from isomorphous/anomalous and molecular-replacement methods. The PHENIX AutoBuild wizard is a highly automated tool for iterative model building, structure refinement and density modification using RESOLVE model building, RESOLVE statistical density modification and phenix.refine structure refinement. Recent advances in the AutoBuild wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model-completion algorithms and automated solvent-molecule picking. Model-completion algorithms in the AutoBuild wizard include loop building, crossovers between chains in different models of a structure and side-chain optimization. The AutoBuild wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 to 3.2 Ĺ, resulting in a mean R factor of 0.24 and a mean free R factor of 0.29. The R factor of the final model is dependent on the quality of the starting electron density and is relatively independent of resolution.

  3. Better Buildings Neighborhood Program Business Models Guide: Introduction

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  4. Better Buildings Neighborhood Program Business Models Guide: Executive Summary

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  5. Applications of Integral Benchmark Data

    SciTech Connect (OSTI)

    Giuseppe Palmiotti; Teruhiko Kugo; Fitz Trumble; Albert C. (Skip) Kahler; Dale Lancaster

    2014-10-09

    The International Reactor Physics Experiment Evaluation Project (IRPhEP) and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) provide evaluated integral benchmark data that may be used for validation of reactor physics / nuclear criticality safety analytical methods and data, nuclear data testing, advanced modeling and simulation, and safety analysis licensing activities. The handbooks produced by these programs are used in over 30 countries. Five example applications are presented in this paper: (1) Use of IRPhEP Data in Uncertainty Analyses and Cross Section Adjustment, (2) Uncertainty Evaluation Methods for Reactor Core Design at JAEA Using Reactor Physics Experimental Data, (3) Application of Benchmarking Data to a Broad Range of Criticality Safety Problems, (4) Cross Section Data Testing with ICSBEP Benchmarks, and (5) Use of the International Handbook of Evaluated Reactor Physics Benchmark Experiments to Support the Power Industry.

  6. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01

    This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

  7. Benchmarking Sustainability: the use of Indicators

    E-Print Network [OSTI]

    Zaferatos, Nicholas C.

    Benchmarking Sustainability: the use of Indicators Introduction The concept of sustainable development is both very popular and elusive. The overwhelming appeal of sustainability is situated to build a generally shared perception of sustainable development (Butler, 1998). For many people

  8. Energy Benchmarking, Rating, and Disclosure for Regulators of Ratepayer-Funded Programs

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how supporting access to building benchmarking data can help utilities increase efficiency and drive down energy demand.

  9. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    Zhu, Dandan

    2014-01-01

    Shruti Kaserekar (2010). Solar gain and cooling loadcoefficient assumptions, the solar position calculation, andthe sky diffuse solar models. 2. DeST and EnergyPlus both

  10. Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2007-04-29

    The PHENIX AutoBuild Wizard is a highly automated tool for iterative model-building, structure refinement and density modification using RESOLVE or TEXTAL model-building, RESOLVE statistical density modification, and phenix.refine structure refinement. Recent advances in the AutoBuild Wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model completion algorithms, and automated solvent molecule picking. Model completion algorithms in the AutoBuild Wizard include loop-building, crossovers between chains in different models of a structure, and side-chain optimization. The AutoBuild Wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 {angstrom} to 3.2 {angstrom}, resulting in a mean R-factor of 0.24 and a mean free R factor of 0.29. The R-factor of the final model is dependent on the quality of the starting electron density, and relatively independent of resolution.

  11. Benchmark Modeling of the Near-Field and Far-Field Wave Effects of Wave Energy Arrays

    SciTech Connect (OSTI)

    Rhinefrank, Kenneth E.; Haller, Merrick C.; Ozkan-Haller, H. Tuba

    2013-01-26

    This project is an industry-led partnership between Columbia Power Technologies and Oregon State University that will perform benchmark laboratory experiments and numerical modeling of the near-field and far-field impacts of wave scattering from an array of wave energy devices. These benchmark experimental observations will help to fill a gaping hole in our present knowledge of the near-field effects of multiple, floating wave energy converters and are a critical requirement for estimating the potential far-field environmental effects of wave energy arrays. The experiments will be performed at the Hinsdale Wave Research Laboratory (Oregon State University) and will utilize an array of newly developed BuoysĂ?Â?Ă?Â?Ă?Â?Ă?Âť that are realistic, lab-scale floating power converters. The array of Buoys will be subjected to realistic, directional wave forcing (1:33 scale) that will approximate the expected conditions (waves and water depths) to be found off the Central Oregon Coast. Experimental observations will include comprehensive in-situ wave and current measurements as well as a suite of novel optical measurements. These new optical capabilities will include imaging of the 3D wave scattering using a binocular stereo camera system, as well as 3D device motion tracking using a newly acquired LED system. These observing systems will capture the 3D motion history of individual Buoys as well as resolve the 3D scattered wave field; thus resolving the constructive and destructive wave interference patterns produced by the array at high resolution. These data combined with the device motion tracking will provide necessary information for array design in order to balance array performance with the mitigation of far-field impacts. As a benchmark data set, these data will be an important resource for testing of models for wave/buoy interactions, buoy performance, and far-field effects on wave and current patterns due to the presence of arrays. Under the proposed project we will initiate high-resolution (fine scale, very near-field) fluid/structure interaction simulations of buoy motions, as well as array-scale, phase-resolving wave scattering simulations. These modeling efforts will utilize state-of-the-art research quality models, which have not yet been brought to bear on this complex problem of large array wave/structure interaction problem.

  12. Building Energy Simulation & Modeling | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Documents & Publications Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square foot federal office building in West Virginia. The...

  13. Building Nonlinear Data Models with Self--Organizing Maps

    E-Print Network [OSTI]

    Der, Ralf

    Building Nonlinear Data Models with Self--Organizing Maps Ralf Der 1 , Gerd Balzuweit 1 , Michael.e. the observations are given by y = f (x) + j, where j is the noise which may or may not depend on x. Building a data the extraction of nonlinear data models in high dimensional spaces with modified self­organizing maps. Our algo

  14. Hadron Production Model Developments and Benchmarking in the 0.7 - 12 GeV Energy Region

    E-Print Network [OSTI]

    N. V. Mokhov; K. K. Gudima; S. I. Striganov

    2014-08-29

    Driven by the needs of the intensity frontier projects with their Megawatt beams, e.g., ESS, FAIR and Project X, and their experiments, the event generators of the MARS15 code have been recently improved. After thorough analysis and benchmarking against data, including the newest ones by the HARP collaboration, both the exclusive and inclusive particle production models were further developed in the crucial for the above projects - but difficult from a theoretical standpoint - projectile energy region of 0.7 to 12 GeV. At these energies, modelling of prompt particle production in nucleon-nucleon and pion-nucleon inelastic reactions is now based on a combination of phase-space and isobar models. Other reactions are still modeled in the framework of the Quark-Gluon String Model. Pion, kaon and strange particle production and propagation in nuclear media are improved. For the alternative inclusive mode, experimental data on large-angle (> 20 degrees) pion production in hadron-nucleus interactions are parameterized in a broad energy range using a two-source model. It is mixed-and-matched with the native MARS model that successfully describes low-angle pion production data. Predictions of both new models are - in most cases - in a good agreement with experimental data obtained at CERN, JINR, LANL, BNL and KEK.

  15. Introduction to Benchmarking: Starting a Benchmarking Plan

    Broader source: Energy.gov [DOE]

    Presentation for the Introduction to Benchmarking: Starting a Benchmarking Plan webinar, presented on February 21, 2013 as part of the U.S. Department of Energy's Technical Assistance Program (TAP).

  16. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

    Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

    2012-09-30

    Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This “true up” procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The “trued” post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the “true up” procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

  17. House Simulation Protocols (Building America Benchmark) - Building...

    Energy Savers [EERE]

    which provides guidance to program partners and managers so they can compare energy savings for new construction and retrofit projects. The HSP provides the program with...

  18. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Introduction.

  19. Building

    E-Print Network [OSTI]

    Physical Facilities

    2013-11-12

    MATHEMATICAL SCIENCES BUILDING. BUILDING EMERGENCY PLAN. Date Adopted: Sept 20, 2013. Date Revised: Sep 20. 2013. Prepared By: Kelly ...

  20. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    SciTech Connect (OSTI)

    Sanyal, Jibonananda [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL; Edwards, Richard [ORNL] [ORNL; Parker, Lynne Edwards [ORNL] [ORNL

    2014-01-01

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the Autotune research which employs machine learning algorithms to generate agents for the different kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-effective calibration of building models.

  1. Strategic Behaviour under Regulation Benchmarking

    E-Print Network [OSTI]

    Jamasb, Tooraj; Nillesen, Paul; Pollitt, Michael G.

    2004-06-16

    and treat capital expenditures (CAPEX) outside of the benchmarking exercise or alternatively use total expenditures (TOTEX). This has implications for the possible strategic behaviour by firms. A firm may appear more efficient by reducing costs, as well... as by appearing larger in terms of higher output variables. For example, if the benchmarking model uses OPEX as input and network length or transformer capacity as output, and is given approval for expansion plans for increasing separately treated CAPEX, it can...

  2. Copyright c 200x Tech Science Press CMES, vol.x, no.x, pp.1-12, 200x Perfectly matched layer for acoustic waveguide modeling --benchmark

    E-Print Network [OSTI]

    Lu, Ya Yan

    waveg- uides, one-way wave equations. 1 Introduction As a simple model used in ocean acoustics [Jensen layer. In numerical sim- ulations for sound waves in the ocean, for example using the Parabolic Equation to solve a range- dependent benchmark problem (wedge with penetrable bottoms) [Jensen and Ferla (1990

  3. DOE TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    12:00PM to 1:30PM MDT A growing number of local governments and states are collecting building benchmarking data from thousands of public and private building owners. Data...

  4. Benchmarks for GADRAS performance validation.

    SciTech Connect (OSTI)

    Mattingly, John K.; Mitchell, Dean James; Rhykerd, Charles L., Jr.

    2009-09-01

    The performance of the Gamma Detector Response and Analysis Software (GADRAS) was validated by comparing GADRAS model results to experimental measurements for a series of benchmark sources. Sources for the benchmark include a plutonium metal sphere, bare and shielded in polyethylene, plutonium oxide in cans, a highly enriched uranium sphere, bare and shielded in polyethylene, a depleted uranium shell and spheres, and a natural uranium sphere. The benchmark experimental data were previously acquired and consist of careful collection of background and calibration source spectra along with the source spectra. The calibration data were fit with GADRAS to determine response functions for the detector in each experiment. A one-dimensional model (pie chart) was constructed for each source based on the dimensions of the benchmark source. The GADRAS code made a forward calculation from each model to predict the radiation spectrum for the detector used in the benchmark experiment. The comparisons between the GADRAS calculation and the experimental measurements are excellent, validating that GADRAS can correctly predict the radiation spectra for these well-defined benchmark sources.

  5. Characterizing Indoor Airflow and Pollutant Transport using Simulation Modeling for Prototypical Buildings. I. Office Buildings

    SciTech Connect (OSTI)

    Sohn, M.D.; Daisey, J.M.; Feustel, H.E.

    1999-06-01

    This paper describes the first efforts at developing a set of prototypical buildings defined to capture the key features affecting airflow and pollutant transport in buildings. These buildings will be used to model airflow and pollutant transport for emergency response scenarios when limited site-specific information is available and immediate decisions must be made, and to better understand key features of buildings controlling occupant exposures to indoor pollutant sources. This paper presents an example of this approach for a prototypical intermediate-sized, open style, commercial building. Interzonal transport due to a short-term source release, e.g., accidental chemical spill, in the bottom and the upper floors is predicted and corresponding HVAC system operation effects and potential responses are considered. Three-hour average exposure estimates are used to compare effects of source location and HVAC operation.

  6. Relap5-3d model validation and benchmark exercises for advanced gas cooled reactor application 

    E-Print Network [OSTI]

    Moore, Eugene James Thomas

    2006-08-16

    HTTR High Temperature engineering Test Reactor INET Institute of Nuclear Energy Technology LWR Light Water Reactor OKBM Test Design Bureau for Machine Building ORNL Oak Ridge National Laboratory RCCS Reactor Cavity Cooling System.... This code used a card-based input deck and was designed to simulate transients in light water reactors (LWR) including, but not limited to, a loss of coolant accident or a station blackout. In the thirty years since, the code has been continuously...

  7. STEP Program Benchmark Report

    Broader source: Energy.gov [DOE]

    STEP Program Benchmark Report, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  8. Energy Savings Modeling of Standard Commercial Building Re-tuning Measures: Large Office Buildings

    SciTech Connect (OSTI)

    Fernandez, Nicholas; Katipamula, Srinivas; Wang, Weimin; Huang, Yunzhi; Liu, Guopeng

    2012-06-01

    Today, many large commercial buildings use sophisticated building automation systems (BASs) to manage a wide range of building equipment. While the capabilities of BASs have increased over time, many buildings still do not fully use the BAS's capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This report investigates the energy savings potential of several common HVAC system retuning measures on a typical large office building prototype model, using the Department of Energy's building energy modeling software, EnergyPlus. The baseline prototype model uses roughly as much energy as an average large office building in existing building stock, but does not utilize any re-tuning measures. Individual re-tuning measures simulated against this baseline include automatic schedule adjustments, damper minimum flow adjustments, thermostat adjustments, as well as dynamic resets (set points that change continuously with building and/or outdoor conditions) to static pressure, supply air temperature, condenser water temperature, chilled and hot water temperature, and chilled and hot water differential pressure set points. Six combinations of these individual measures have been formulated - each designed to conform to limitations to implementation of certain individual measures that might exist in typical buildings. All of these measures and combinations were simulated in 16 cities representative of specific U.S. climate zones. The modeling results suggest that the most effective energy savings measures are those that affect the demand-side of the building (air-systems and schedules). Many of the demand-side individual measures were capable of reducing annual HVAC system energy consumption by over 20% in most cities that were modeled. Supply side measures affecting HVAC plant conditions were only modestly successful (less than 5% annual HVAC energy savings for most cities for all measures). Combining many of the retuning measures revealed deep savings potential. Some of the more aggressive combinations revealed 35-75% reductions in annual HVAC energy consumption, depending on climate and building vintage.

  9. Comparison of Homogeneous and Heterogeneous CFD Fuel Models for Phase I of the IAEA CRP on HTR Uncertainties Benchmark

    SciTech Connect (OSTI)

    Gerhard Strydom; Su-Jong Yoon

    2014-04-01

    Computational Fluid Dynamics (CFD) evaluation of homogeneous and heterogeneous fuel models was performed as part of the Phase I calculations of the International Atomic Energy Agency (IAEA) Coordinate Research Program (CRP) on High Temperature Reactor (HTR) Uncertainties in Modeling (UAM). This study was focused on the nominal localized stand-alone fuel thermal response, as defined in Ex. I-3 and I-4 of the HTR UAM. The aim of the stand-alone thermal unit-cell simulation is to isolate the effect of material and boundary input uncertainties on a very simplified problem, before propagation of these uncertainties are performed in subsequent coupled neutronics/thermal fluids phases on the benchmark. In many of the previous studies for high temperature gas cooled reactors, the volume-averaged homogeneous mixture model of a single fuel compact has been applied. In the homogeneous model, the Tristructural Isotropic (TRISO) fuel particles in the fuel compact were not modeled directly and an effective thermal conductivity was employed for the thermo-physical properties of the fuel compact. On the contrary, in the heterogeneous model, the uranium carbide (UCO), inner and outer pyrolytic carbon (IPyC/OPyC) and silicon carbide (SiC) layers of the TRISO fuel particles are explicitly modeled. The fuel compact is modeled as a heterogeneous mixture of TRISO fuel kernels embedded in H-451 matrix graphite. In this study, a steady-state and transient CFD simulations were performed with both homogeneous and heterogeneous models to compare the thermal characteristics. The nominal values of the input parameters are used for this CFD analysis. In a future study, the effects of input uncertainties in the material properties and boundary parameters will be investigated and reported.

  10. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law?energy?balance?as?a?screening?tool?for?building?energy...

  11. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    Towards a Very Low Energy Building Stock: Modeling the USconditioning. Very low energy buildings in particular tendand customization in most low energy buildings, the best

  12. Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

    SciTech Connect (OSTI)

    Price, Phillip N.; Granderson, Jessica; Sohn, Michael; Addy, Nathan; Jump, David

    2013-09-01

    The overarching goal of this work is to advance the capabilities of technology evaluators in evaluating the building-level baseline modeling capabilities of Energy Management and Information System (EMIS) software. Through their customer engagement platforms and products, EMIS software products have the potential to produce whole-building energy savings through multiple strategies: building system operation improvements, equipment efficiency upgrades and replacements, and inducement of behavioral change among the occupants and operations personnel. Some offerings may also automate the quantification of whole-building energy savings, relative to a baseline period, using empirical models that relate energy consumption to key influencing parameters, such as ambient weather conditions and building operation schedule. These automated baseline models can be used to streamline the whole-building measurement and verification (M&V) process, and therefore are of critical importance in the context of multi-measure whole-building focused utility efficiency programs. This report documents the findings of a study that was conducted to begin answering critical questions regarding quantification of savings at the whole-building level, and the use of automated and commercial software tools. To evaluate the modeling capabilities of EMIS software particular to the use case of whole-building savings estimation, four research questions were addressed: 1. What is a general methodology that can be used to evaluate baseline model performance, both in terms of a) overall robustness, and b) relative to other models? 2. How can that general methodology be applied to evaluate proprietary models that are embedded in commercial EMIS tools? How might one handle practical issues associated with data security, intellectual property, appropriate testing ‘blinds’, and large data sets? 3. How can buildings be pre-screened to identify those that are the most model-predictable, and therefore those whose savings can be calculated with least error? 4. What is the state of public domain models, that is, how well do they perform, and what are the associated implications for whole-building measurement and verification (M&V)? Additional project objectives that were addressed as part of this study include: (1) clarification of the use cases and conditions for baseline modeling performance metrics, benchmarks and evaluation criteria, (2) providing guidance for determining customer suitability for baseline modeling, (3) describing the portfolio level effects of baseline model estimation errors, (4) informing PG&E’s development of EMIS technology product specifications, and (5) providing the analytical foundation for future studies about baseline modeling and saving effects of EMIS technologies. A final objective of this project was to demonstrate the application of the methodology, performance metrics, and test protocols with participating EMIS product vendors.

  13. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01

    In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals with the development of simulation models to describe and optimize...

  14. Studio Education for Integrated Practice Using Building Information Modeling 

    E-Print Network [OSTI]

    O?zener, Ozan O?zener

    2011-02-22

    This research study posits that an altered educational approach to design studio can produce future professionals who apply Building Information Modeling (BIM) in the context of Integrated Project Delivery (IPD) to execute ...

  15. PHOTOCHEMISTRY IN TERRESTRIAL EXOPLANET ATMOSPHERES. I. PHOTOCHEMISTRY MODEL AND BENCHMARK CASES

    E-Print Network [OSTI]

    Hu, Renyu

    We present a comprehensive photochemistry model for exploration of the chemical composition of terrestrial exoplanet atmospheres. The photochemistry model is designed from the ground up to have the capacity to treat all ...

  16. Benchmark Problem: A PK/PD Model and Safety Constraints for Anesthesia Delivery

    E-Print Network [OSTI]

    Mitchell, Ian

    : · A series of related models of the effect of propofol infusion on depth of hypnosis. · A quantitative Plasma Slow Peripheral Propofol Infusion u Delay E ect Site Hill Equation E ect Cp Ce C C PK Model PD

  17. DOE Buildings Performance Database

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Impacts: Example Applications of BPD * Local Benchmarking: - New York, San Francisco, and DC contribute data from local energy-disclosure ordinances - Allow local building owners...

  18. Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    Fok, and P. Rumsey. 2001. "Cleanroom Energy Benchmarking inACEEE Industrial Conference. Cleanroom Benchmarking GuidedL1 Lighting Installed Power Cleanroom Benchmarking Guide 9.

  19. Building Energy Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of EnergyEmerging Technologies » Building Energy

  20. Modeling and Analysis of Solar Radiation Potentials on Building Rooftops

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL

    2012-01-01

    The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

  1. Benchmarking, BOMA BESt and BBEER 

    E-Print Network [OSTI]

    Smiciklas, J.

    2013-01-01

    ?inclusive Benchmarking and BBEER 2013 BOMA?BESt?Energy?and?Environmental?Report?(BBEER) ? Average?energy?intensity?by: ? Region ? Certification?level ? Sector?(private?/?public)?and?age ? Building?size ? Average?natural?gas?use?by?region ? Average...?electricity?use?by?region ? Carbon?dioxide?emissions?by: ? Sector?and?region ? Sector?and?age ? Water?consumption?by: ? Sector?and?region ? Building?size ? Sector?and?age Download?your?free?copy? from?www.bomabest.com BOMA BESt Energy and Environment Report 2013 ? Data Set...

  2. Action-Oriented Benchmarking: Concepts and Tools

    SciTech Connect (OSTI)

    California Energy Commission; Mathew, Paul; Mills, Evan; Mathew, Paul; Piette, Mary Ann; Bourassa, Norman; Brook, Martha

    2008-02-13

    Most energy benchmarking tools provide static feedback on how one building compares to a larger set of loosely similar buildings, without providing information at the end-use level or on what can be done to reduce consumption, cost, or emissions. In this article--Part 1 of a two-part series--we describe an 'action-oriented benchmarking' approach, which extends whole-building energy benchmarking to include analysis of system and component energy use metrics and features. Action-oriented benchmarking thereby allows users to generate more meaningful metrics and to identify, screen and prioritize potential efficiency improvements. This opportunity assessment process can then be used to inform and optimize a full-scale audit or commissioning process. We introduce a new web-based action-oriented benchmarking system and associated software tool-EnergyIQ. The benchmarking methods, visualizations, and user interface design are informed by an end-user needs assessment survey and best-practice guidelines from ASHRAE.

  3. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01

    Despite the potential for significant energy savings by reducing duct leakage or other thermal losses from duct systems in large commercial buildings, California Title 24 has no provisions to credit energy-efficient duct systems in these buildings. A substantial reason is the lack of readily available simulation tools to demonstrate the energy-saving benefits associated with efficient duct systems in large commercial buildings. The overall goal of the Efficient Distribution Systems (EDS) project within the PIER High Performance Commercial Building Systems Program is to bridge the gaps in current duct thermal performance modeling capabilities, and to expand our understanding of duct thermal performance in California large commercial buildings. As steps toward this goal, our strategy in the EDS project involves two parts: (1) developing a whole-building energy simulation approach for analyzing duct thermal performance in large commercial buildings, and (2) using the tool to identify the energy impacts of duct leakage in California large commercial buildings, in support of future recommendations to address duct performance in the Title 24 Energy Efficiency Standards for Nonresidential Buildings. The specific technical objectives for the EDS project were to: (1) Identify a near-term whole-building energy simulation approach that can be used in the impacts analysis task of this project (see Objective 3), with little or no modification. A secondary objective is to recommend how to proceed with long-term development of an improved compliance tool for Title 24 that addresses duct thermal performance. (2) Develop an Alternative Calculation Method (ACM) change proposal to include a new metric for thermal distribution system efficiency in the reporting requirements for the 2005 Title 24 Standards. The metric will facilitate future comparisons of different system types using a common ''yardstick''. (3) Using the selected near-term simulation approach, assess the impacts of duct system improvements in California large commercial buildings, over a range of building vintages and climates. This assessment will provide a solid foundation for future efforts that address the energy efficiency of large commercial duct systems in Title 24. This report describes our work to address Objective 1, which includes a review of past modeling efforts related to duct thermal performance, and recommends near- and long-term modeling approaches for analyzing duct thermal performance in large commercial buildings.

  4. Low frequency eddy current finite element model validation and benchmark studies

    SciTech Connect (OSTI)

    Cherry, M.; Knopp, J. [Materials and Manufacturing Directorate, Air Force Research Laboratory (United States); Mooers, R.; Boehnlein, T. [University of Dayton Research Institute, Dayton, OH (United States); Aldrin, J. C. [Computational Tools, Gurnee, IL (United States); Sabbagh, H. A. [Victor Technologies, LLC, Bloomington, IN (United States)

    2011-06-23

    A finite element method (FEM) model was created to calculate the change in impedance of a coil due to the presence of a notch in a plate. The rectangular notches were created via electrical discharge machining (EDM) in a thick aluminum plate and were positioned at normal and oblique angles (10, 20, and 30 degrees) with respect to the vertical axis of the coil. The FEM method was chosen for this model due to its ability to solve problems in complicated geometries with the use of irregular mesh elements to discretize the solution domain. The change in impedance was calculated from the field variables in the simulation for each probe position along the parallel axis of the plate. The error between the model and the experimental data was approximately 5% for the majority of cases. The validated model was used to investigate more complex problems.

  5. Building Energy Modeling (BEM) Program Overview

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of Energy America:Antonio,BuildingDepartment ofAmir

  6. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    good practice” for data center infrastructure efficiency metric. Data Center Benchmarking Guidegood practice benchmark and 0.6 kW/ton as a better practice benchmark. Data Center Benchmarking Guide

  7. 2003 Yerkes Summer Institute Day Lab 1 Solar System Model page-1 Building Models to Scale

    E-Print Network [OSTI]

    Collar, Juan I.

    2003 Yerkes Summer Institute Day Lab 1 ­ Solar System Model page-1 Building Models to Scale visualize our solar neighborhood? One way is to build a scale model. Take, for example, the model of a BMW Z Introduction Can you picture the dimensions of the solar system? Probably not. The sizes and distances involved

  8. NREL's Building Component Library for Use with Energy Models

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

  9. Sacks R. (1998), `Issues in the Development and Implementation of a Building Project Model for an Automated Building System', International Journal of Construction Information Technology, Salford University, Salford

    E-Print Network [OSTI]

    Sacks, Rafael

    1998-01-01

    of an Automated, Computer Integrated Building Realization System is to automatically generate all. Keywords: Building Project Model, Computer Integrated Construction, Automated Building System. INTRODUCTION for an Automated Building System', International Journal of Construction Information Technology, Salford University

  10. Factory Flow Benchmarking Report

    E-Print Network [OSTI]

    Shields, Thomas J.

    LAI benchmarked representative part fabrications and some assembly operations within its member companies of the defense aircraft industry. This paper reports the results of this benchmarking effort. In addition, this ...

  11. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Conclusion, Summary of Non-utility Program Administrator Insights.

  12. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Market

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Market.

  13. Designing and Building a Graphical Model Library in Standard ML

    E-Print Network [OSTI]

    Murphy, Kevin Patrick

    Designing and Building a Graphical Model Library in Standard ML Clint Morgan December 2004 Abstract This paper discusses several design considerations for a probabilistic graphical model library. The library, dubbed GM, currently only contains a small subset of desirable features for such a library. In particular

  14. Building Statistical Models and Scoring with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    77204, USA ABSTRACT Multidimensional statistical models are generally computed outside a relational DBMS are computed inside the DBMS in a single table scan exploiting SQL and User-Defined Functions (UDFs into the Teradata DBMS. Two major database processing tasks are discussed: building a model and scoring a data set

  15. Applications of formal model choice to archaeological chronology building

    E-Print Network [OSTI]

    Sahu, Sujit K

    Applications of formal model choice to archaeological chronology building Sujit K. Sahu, Faculty important than in the analysis and interpretation of chronological data, especially when information from several sources must be drawn together. Di#11;erent statistical models may, however, provide widely di#11

  16. Gauging Improvements in Urban Building Energy Policy in India

    E-Print Network [OSTI]

    Williams, Christopher

    2013-01-01

    develop a web-based building energy performance benchmarkingtraining, building energy performance studies, and thermaland Energy Performance Benchmarking for Commercial Buildings

  17. pMSSM Benchmark Models for Snowmass 2013 (Journal Article) | SciTech

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonfor DirectSciTechConnectXOP:(Journal Article)modelsConnect

  18. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01

    of the central heating plant, with measurements of water temperatures and flow rates is used to adjust the parameters of the boiler model....

  19. Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in a building roof for a

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in "Energy and Buildings 70 (2014) http://www.sciencedirect.com/science/article/pii/ S0378778813007962" DOI : 10.1016/j.enbuild.2013.11.079 #12;Manuscript submitted to Energy and Buildings S.GUICHARD 2013 2

  20. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

    Garrett, Aaron [Jacksonville State University] [Jacksonville State University; New, Joshua Ryan [ORNL] [ORNL; Chandler, Theodore [Jacksonville State University] [Jacksonville State University

    2013-01-01

    Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

  1. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  2. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  3. Radiation Detection Computational Benchmark Scenarios

    SciTech Connect (OSTI)

    Shaver, Mark W.; Casella, Andrew M.; Wittman, Richard S.; McDonald, Ben S.

    2013-09-24

    Modeling forms an important component of radiation detection development, allowing for testing of new detector designs, evaluation of existing equipment against a wide variety of potential threat sources, and assessing operation performance of radiation detection systems. This can, however, result in large and complex scenarios which are time consuming to model. A variety of approaches to radiation transport modeling exist with complementary strengths and weaknesses for different problems. This variety of approaches, and the development of promising new tools (such as ORNL’s ADVANTG) which combine benefits of multiple approaches, illustrates the need for a means of evaluating or comparing different techniques for radiation detection problems. This report presents a set of 9 benchmark problems for comparing different types of radiation transport calculations, identifying appropriate tools for classes of problems, and testing and guiding the development of new methods. The benchmarks were drawn primarily from existing or previous calculations with a preference for scenarios which include experimental data, or otherwise have results with a high level of confidence, are non-sensitive, and represent problem sets of interest to NA-22. From a technical perspective, the benchmarks were chosen to span a range of difficulty and to include gamma transport, neutron transport, or both and represent different important physical processes and a range of sensitivity to angular or energy fidelity. Following benchmark identification, existing information about geometry, measurements, and previous calculations were assembled. Monte Carlo results (MCNP decks) were reviewed or created and re-run in order to attain accurate computational times and to verify agreement with experimental data, when present. Benchmark information was then conveyed to ORNL in order to guide testing and development of hybrid calculations. The results of those ADVANTG calculations were then sent to PNNL for compilation. This is a report describing the details of the selected Benchmarks and results from various transport codes.

  4. Energy Efficiency Program for State Government Buildings

    Broader source: Energy.gov [DOE]

    The High-Performance Buildings Advisory Committee assisted the Finance and Administration Cabinet with setting out the standards and benchmarks by which to evaluate buildings. Leadership in Energ...

  5. Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis 

    E-Print Network [OSTI]

    Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.

    2014-01-01

    ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Authors: Sandeep Kota; Jeff S. Haberl, Ph.D.; Mark J. Clayton, Ph.D.; Wei Yan, Ph.D. Corresponding Author: Wei Yan, Ph.D. Telephone: 1 979 8450584.... Email: wyan@tamu.edu Department of Architecture, Texas A&M University, College Station, Texas. ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Abstract: Daylighting is an important aspect...

  6. Immersive Representation of Building Information Model 

    E-Print Network [OSTI]

    Nseir, Hussam

    2012-07-16

    commercial BIM application in an immersive visualization environment, the BIM model needs to pass through a tough conversion process and loss a large amount of its information. This research study utilizes the Application Programming Interface (API) of a...

  7. Semantic Enrichment for Building Information Modeling

    E-Print Network [OSTI]

    Belsky, Michael; Sacks, Rafael; Brilakis, Ioannis

    2015-01-01

    developed that can infer such relationships from the geometry and spatial topology. Tools such as Siemens Synchronous Technology (Siemens), for example, can use data from multiple CAD systems. Given a model in B- rep the tools can process it into a feature... models are usually generated in heterogeneous computing platforms and as a result the semantics are hidden in information structures of different product data formats. This imposes difficulties for seamless interoperability and efficient reuse...

  8. Building Energy Model Calibration using EnergyPlus, Machine Learning, and SupercomputingAutotune

    E-Print Network [OSTI]

    Parker, Lynne E.

    Building Energy Model Calibration using EnergyPlus, Machine Learning, and Supercomputing barriers to DOE's Building Technology Program (BTP) goals and the adoption of building energy modeling that accurately reflects reality. Typically, a building modeler uses the software tool they have most experience

  9. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile JumpModels Jump

  10. Building America Top Innovations 2012: Model Simulating Real Domestic Hot Water Use

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building America research that is improving domestic hot water modeling capabilities to more effectively address one of the largest energy uses in residential buildings.

  11. TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey

    Broader source: Energy.gov [DOE]

    This webinar will train analysts, energy planners and community officials on the principles used for identifying potential problems associated with benchmarking data, and a methodology for cleaning the data prior to analysis. This training session is intended for cities, communities, schools, and states that have implemented an internal or community-wide building benchmarking program and are working to better understand energy use trends and design targeted and effective energy efficiency programs.

  12. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

    Building Intelligent Sensor Networks With Multiagent Graphical Models Yang Xiang University of these agents as well as the sensors that they manage forms an intelligent sensor network. The task to process: what is the small set of devices that is highly likely the culprit of abnormality? A sensor network

  13. Machine learning method for software quality model building

    E-Print Network [OSTI]

    Matwin, Stan

    Machine learning method for software quality model building Maurício Amaral de Almeida1 and Stan Ontario, K1N 6N5 Canada {malmeida,stan}@csi.uottawa.ca Abstract Software quality prediction can be cast to software quality prediction. As it often happens in real-life applications, significant part of the project

  14. PROCEEDINGS Open Access Building Markov state models with solvent

    E-Print Network [OSTI]

    Guibas, Leonidas J.

    PROCEEDINGS Open Access Building Markov state models with solvent dynamics Chen Gu1 , Huang timescale dynamics. However, the solvent information in molecular simulations are often ignored in current methods, because of the large number of solvent molecules in a system and the indistinguishability

  15. Category:Building Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village,8199089°,Analytical Modeling Jump to:Biomass

  16. Modeling distributed generation in the buildings sectors

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO), 19992, 19999,33.0Modeling

  17. Nonresidential Building Energy Use Disclosure Program

    E-Print Network [OSTI]

    · ·/ Nonresidential Building Energy Use Disclosure Program California Code of Regulations Title Commission Chapter 4. Energy Conservation Article 9. Nonresidential Building Benchmarking and Disclosure Manager that summarizes the space and energy usage of a building and compares a building's energy use

  18. Enhancements to ASHRAE Standard 90.1 Prototype Building Models

    SciTech Connect (OSTI)

    Goel, Supriya; Athalye, Rahul A.; Wang, Weimin; Zhang, Jian; Rosenberg, Michael I.; Xie, YuLong; Hart, Philip R.; Mendon, Vrushali V.

    2014-04-16

    This report focuses on enhancements to prototype building models used to determine the energy impact of various versions of ANSI/ASHRAE/IES Standard 90.1. Since the last publication of the prototype building models, PNNL has made numerous enhancements to the original prototype models compliant with the 2004, 2007, and 2010 editions of Standard 90.1. Those enhancements are described here and were made for several reasons: (1) to change or improve prototype design assumptions; (2) to improve the simulation accuracy; (3) to improve the simulation infrastructure; and (4) to add additional detail to the models needed to capture certain energy impacts from Standard 90.1 improvements. These enhancements impact simulated prototype energy use, and consequently impact the savings estimated from edition to edition of Standard 90.1.

  19. Building

    U.S. Energy Information Administration (EIA) Indexed Site

    DIV. Electricity Consumption and Expenditure Intensities by Census Division, 1999" ,"Electricity Consumption",,,"Electricity Expenditures" ,"per Building (thousand kWh)","per...

  20. Guide for Benchmarking Residential Energy Efficiency Program...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential...

  1. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01

    Summer Study on Energy Efficiency in Buildings, EfficiencySummer Study on Energy Efficiency in Buildings, EfficiencySummer Study on Energy Efficiency in Buildings, Efficiency

  2. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

    control for active and passive building thermal storage.control for active and passive building thermal storagecontrollers for active and passive building thermal storage

  3. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    whole building energy simulation program. In: IBPSA BuildingExchange Protocols for Energy Simulation of HVAC&R EquipmentInteroperability for Energy Simulation. buildingSmart (2010)

  4. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

    Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

    2009-09-30

    This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.

  5. AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA

    E-Print Network [OSTI]

    Schindler, Konrad

    AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA N. Demir* , E. Baltsavias, Detection, 3D Modelling ABSTRACT: In this work, an automated approach for 3D building roof modelling of accurate and complete 3D building models with high degree of automation. Aerial images and LiDAR data

  6. Conversion of three-dimensional graphic building models into input data for building energy calculation program 

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01

    Building energy use calculation programs require descriptions of the building geometry as well as data relating to climate, materials, occupancy, among other aspects. Powerful micro-computers and sophisticated building ...

  7. Air Dispersion Modeling for Building 3026C/D Demolition

    SciTech Connect (OSTI)

    Ward, Richard C; Sjoreen, Andrea L; Eckerman, Keith F

    2010-06-01

    This report presents estimates of dispersion coefficients and effective dose for potential air dispersion scenarios of uncontrolled releases from Oak Ridge National Laboratory (ORNL) buildings 3026C, 3026D, and 3140 prior to or during the demolition of the 3026 Complex. The Environmental Protection Agency (EPA) AERMOD system1-6 was used to compute these estimates. AERMOD stands for AERMIC Model, where AERMIC is the American Meteorological Society-EPA Regulatory Model Improvement Committee. Five source locations (three in building 3026D and one each in building 3026C and the filter house 3140) and associated source characteristics were determined with the customer. In addition, the area of study was determined and building footprints and intake locations of air-handling systems were obtained. In addition to the air intakes, receptor sites consisting of ground level locations on four polar grids (50 m, 100 m, 200 m, and 500 m) and two intersecting lines of points (50 m separation), corresponding to sidewalks along Central Avenue and Fifth Street. Three years of meteorological data (2006 2008) were used each consisting of three datasets: 1) National Weather Service data; 2) upper air data for the Knoxville-Oak Ridge area; and 3) local weather data from Tower C (10 m, 30 m and 100 m) on the ORNL reservation. Annual average air concentration, highest 1 h average and highest 3 h average air concentrations were computed using AERMOD for the five source locations for the three years of meteorological data. The highest 1 h average air concentrations were converted to dispersion coefficients to characterize the atmospheric dispersion as the customer was interested in the most significant response and the highest 1 h average data reflects the best time-averaged values available from the AERMOD code. Results are presented in tabular and graphical form. The results for dose were obtained using radionuclide activities for each of the buildings provided by the customer.7 Radiation dose was calculated assuming complete release of the building inventory as information was lacking regarding the portion of the building inventory expected to be released. Thus the results are derived using an extremely conservative release as documented in the Preliminary Hazard Screening report.7 To more closely approximate the result of a release, one must estimate the fraction of the total inventory released and multiply the results described above by that fraction. An example of how this calculation is accomplished is provided. Should an actual uncontrolled release occur, the results of this modeling effort could only be used to establish a rough order-of-magnitude for the event.

  8. Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    Energy Efficiency,” ASHRAE Journal, Vol.50, No.4, April 2008. American Society of Heating Refrigerating and Air conditioning

  9. Experiences of Using Models and Information of Building Automation System in Commissioning 

    E-Print Network [OSTI]

    Keranen, H.; Kalema, T.; Pesonen, A.

    2004-01-01

    Simulation programs are widely used in the design of heating and cooling devices. However, modeling of the whole building with simulation programs is exceptional at least in Finland. We have built and utilized whole building models in a...

  10. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    wp/wp_outsideair.asp Data Center Benchmarking GuidedP6 Average Lighting Power Data Center Benchmarking Guide 8.Conditioning Engineers, Inc. Data Center Profiling tool “DC

  11. Thermal Performance Benchmarking (Presentation)

    SciTech Connect (OSTI)

    Moreno, G.

    2014-11-01

    This project will benchmark the thermal characteristics of automotive power electronics and electric motor thermal management systems. Recent vehicle systems will be benchmarked to establish baseline metrics, evaluate advantages and disadvantages of different thermal management systems, and identify areas of improvement to advance the state-of-the-art.

  12. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  13. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  14. Legal Issues and Risks Associated with Building Information Modeling Technology

    E-Print Network [OSTI]

    Foster, Leon Lewis

    2008-07-22

    International Alliance for Interoperability IFC Industry Foundation Classes IPD Integrated Project Delivery NIBS National Institute of Building Standards NIST National Institute of Standards and Technology VDC Virtual Design and Construction 1 CHAPTER 1... to generate cost and schedule savings. BIM is expected to drive the construction industry towards a ?model based? process and gradually move the industry away from a ?2D Based? process. 1.3 DEFINITION AND CHARACTERISTICS OF BIM BIM is not merely a 3D...

  15. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Introduction

    Broader source: Energy.gov [DOE]

    Introduction to the Utility Program Administrator Business Model, as posted on the Better Buildings Neighborhood Program website.

  16. Strategies for energy benchmarking in cleanrooms and laboratory-type facilities

    SciTech Connect (OSTI)

    Sartor, Dale; Piette, Mary Ann; Tschudi, William; Fok, Stephen

    2000-06-01

    Buildings with cleanrooms and laboratories are growing in terms of total floor area and energy intensity. This building type is common in institutions such as universities and in many industries such as microelectronics and biotechnology. These buildings, with high ventilation rates and special environmental considerations, consume from 4 to 100 times more energy per square foot than conventional commercial buildings. Owners and operators of such facilities know they are expensive to operate, but have little way of knowing if their facilities are efficient or inefficient. A simple comparison of energy consumption per square foot is of little value. A growing interest in benchmarking is also fueled by: A new U.S. Executive Order removing the exemption of federal laboratories from energy efficiency goals, setting a 25% savings target, and calling for baseline guidance to measure progress; A new U.S. EPA and U.S. DOE initiative, Laboratories for the 21st Century, establishing voluntary performance goals and criteria for recognition; and A new PG and E market transformation program to improve energy efficiency in high tech facilities, including a cleanroom energy use benchmarking project. This paper identifies the unique issues associated with benchmarking energy use in high-tech facilities. Specific options discussed include statistical comparisons, point-based rating systems, model-based techniques, and hierarchical end-use and performance-metrics evaluations.

  17. Building Shape Models from Lousy Data Marcel Luthi, Thomas Albrecht, and Thomas Vetter

    E-Print Network [OSTI]

    Vetter, Thomas

    Building Shape Models from Lousy Data Marcel L¨uthi, Thomas Albrecht, and Thomas Vetter Department information. We propose a method for building a statistical shape model from such "lousy" data sets propose a method for building statistical shape models from data sets which can include incomplete

  18. Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings

    E-Print Network [OSTI]

    Gugercin, Serkan

    Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings Jeff models for the indoor-air environment in control design for energy efficient buildings. In one method by a desire to incorporate models of the indoor-air environment in the design of energy efficient buildings

  19. Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98

    E-Print Network [OSTI]

    Tommelein, Iris D.

    Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98 DEVELOPING A MODEL FOR PLANNING AND CONTROLLING PRODUCTION IN SMALL SIZED BUILDING FIRMS process of a model for planning and controlling production in small sized building companies, as well

  20. Identification of parameters in building concentration dispersion model

    E-Print Network [OSTI]

    Calogine, D; Ndoumbe, S; Rivičre, C; Miranville, F

    2012-01-01

    The aim of this work is to simulate the pollutants transport in buildings. Focusing mainly on the presence of CO2, firstly we resolve the airflow equations for two typical validation cases, the Rao case and the IEA case. These numerical results are compared to the most known software and they are used to evaluate of the evolution of CO2 concentration in the different rooms. In order to obtain the different parameters and filters of the proposed model we use a statistical method based on Bayesian inference. The final comparison of results is coherent but a complementary experimental procedure is necessary to calibrate and refine the model

  1. Scalable Tuning of Building Models to Hourly Data

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan

    2015-01-01

    Energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Manual tuning requires a skilled professional, is prohibitively expensive for small projects, imperfect, non-repeatable, non-transferable, and not scalable to the dozens of sensor channels that smart meters, smart appliances, and cheap/ubiquitous sensors are beginning to make available today. A scalable, automated methodology is needed to quickly and intelligently calibrate building energy models to all available data, increase the usefulness of those models, and facilitate speed-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The ``Autotune'' project is a novel, model-agnostic methodology which leverages supercomputing, large simulation ensembles, and big data mining with multiple machine learning algorithms to allow automatic calibration of simulations that match measured experimental data in a way that is deployable on commodity hardware. This paper shares several methodologies employed to reduce the combinatorial complexity to a computationally tractable search problem for hundreds of input parameters. Accuracy metrics are provided which quantify model error to measured data for either monthly or hourly electrical usage from a highly-instrumented, emulated-occupancy research home.

  2. Model building in neural networks with hidden Markov models 

    E-Print Network [OSTI]

    Wynne-Jones, Michael

    This thesis concerns the automatic generation of architectures for neural networks and other pattern recognition models comprising many elements of the same type. The requirement for such models, with automatically ...

  3. Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software

    SciTech Connect (OSTI)

    Jump, David; Price, Phillip N.; Granderson, Jessica; Sohn, Michael

    2013-09-06

    This document describes procedures for testing and validating proprietary baseline energy modeling software accuracy in predicting energy use over the period of interest, such as a month or a year. The procedures are designed according to the methodology used for public domain baselining software in another LBNL report that was (like the present report) prepared for Pacific Gas and Electric Company: ?Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing Protocols? (referred to here as the ?Model Analysis Report?). The test procedure focuses on the quality of the software?s predictions rather than on the specific algorithms used to predict energy use. In this way the software vendor is not required to divulge or share proprietary information about how their software works, while enabling stakeholders to assess its performance.

  4. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

    Ott, Larry J [ORNL; Tverberg, Terje [OECD Halden Reactor Project; Sartori, Enrico [ORNL

    2008-01-01

    Within the framework of the OECD/NEA Expert Group on Reactor-based Plutonium disposition (TFRPD), a fuel modeling code benchmarks for MOX fuel was initiated. This paper summarizes the calculation results provided by the contributors for the first two fuel performance benchmark problems. A limited sensitivity study of the effect of the rod power uncertainty on code predictions of fuel centerline temperature and fuel pin pressure also was performed and is included in the paper

  5. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

    Ott, Larry J [ORNL; Tverberg, Terje [OECD Halden Reactor Project; Sartori, Enrico [ORNL

    2009-01-01

    Within the framework of the OECD/NEA Expert Group on Reactor-based Plutonium disposition (TFRPD), a fuel modeling code benchmarks for MOX fuel was initiated. This paper summarizes the calculation results provided by the contributors for the first two fuel performance benchmark problems. A limited sensitivity study of the effect of the rod power uncertainty on code predictions of fuel centerline temperature and fuel pin pressure also was performed and is included in the paper.

  6. An Instanton Toolbox for F-Theory Model Building

    E-Print Network [OSTI]

    Joseph Marsano; Natalia Saulina; Sakura Schafer-Nameki

    2009-07-23

    Several dimensionful parameters needed for model building can be engineered in a certain class of SU(5) F-theory GUTs by adding extra singlet fields which are localized along pairwise intersections of D7-branes. The values of these parameters, however, depend on dynamics external to the GUT which causes the singlets to acquire suitable masses or expectation values. In this note, we demonstrate that D3-instantons which wrap the same 4-cycle as one of the intersecting D7's can provide precisely the needed dynamics to generate several important scales, including the supersymmetry-breaking scale and the right-handed neutrino mass. Furthermore, these instantons seem unable to directly generate the \\mu term suggesting that, at least in this class of models, it should perhaps be tied to one of the other scales in the problem. More specifically, we study the simple system consisting of a pair of D7-branes wrapping del Pezzo surfaces which intersect along a curve $\\Sigma$ of genus 0 or 1 and classify all instanton configurations which can potentially contribute to the superpotential. This allows one to formulate topological conditions which must be imposed on \\Sigma for various model-building applications. Along the way, we also observe that the construction of arXiv:0808.1286 which engineers a linear superpotential in fact realizes an O'Raifeartaigh model at the KK scale whose 1-loop Coleman-Weinberg potential generically leads to a metastable, long-lived SUSY-breaking vacuum.

  7. Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation

    E-Print Network [OSTI]

    Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models

  8. Comparison of the PHISICS/RELAP5-3D Ring and Block Model Results for Phase I of the OECD MHTGR-350 Benchmark

    SciTech Connect (OSTI)

    Gerhard Strydom

    2014-04-01

    The INL PHISICS code system consists of three modules providing improved core simulation capability: INSTANT (performing 3D nodal transport core calculations), MRTAU (depletion and decay heat generation) and a perturbation/mixer module. Coupling of the PHISICS code suite to the thermal hydraulics system code RELAP5-3D has recently been finalized, and as part of the code verification and validation program the exercises defined for Phase I of the OECD/NEA MHTGR 350 MW Benchmark were completed. This paper provides an overview of the MHTGR Benchmark, and presents selected results of the three steady state exercises 1-3 defined for Phase I. For Exercise 1, a stand-alone steady-state neutronics solution for an End of Equilibrium Cycle Modular High Temperature Reactor (MHTGR) was calculated with INSTANT, using the provided geometry, material descriptions, and detailed cross-section libraries. Exercise 2 required the modeling of a stand-alone thermal fluids solution. The RELAP5-3D results of four sub-cases are discussed, consisting of various combinations of coolant bypass flows and material thermophysical properties. Exercise 3 combined the first two exercises in a coupled neutronics and thermal fluids solution, and the coupled code suite PHISICS/RELAP5-3D was used to calculate the results of two sub-cases. The main focus of the paper is a comparison of the traditional RELAP5-3D “ring” model approach vs. a much more detailed model that include kinetics feedback on individual block level and thermal feedbacks on a triangular sub-mesh. The higher fidelity of the block model is illustrated with comparison results on the temperature, power density and flux distributions, and the typical under-predictions produced by the ring model approach are highlighted.

  9. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

    and passive building thermal storage. International Journalcooling towers, the thermal storage tank and the electricityand passive building thermal storage inventory: Part 1.

  10. Validation of the Window Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,transfer in rooms in the Modelica "Buildings" library. Proc.

  11. Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01

    This paper presents and evaluates an indirect data-driven method to estimate influential building parameters: air exchange rates and overall heat transfer coefficients of building envelopes from the separately metered energy use for electricity...

  12. Moving Multifamily Buildings From Assessments to Upgrades | Department...

    Broader source: Energy.gov (indexed) [DOE]

    and Multifamily Building Benchmarking and Disclosure Assessing Revenue Streams: What Is Right for Your Program? Information Technology Tools for Multifamily Building Programs...

  13. Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1

    E-Print Network [OSTI]

    Chen, Xinzhong

    Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1 and Ahsan Kareem2 Abstract: In current design practice, spatiotemporally varying wind loads on buildings are modeled as equivalent static static wind load for any given peak response of buildings with uncoupled responses in the three primary

  14. Rapid model building of ?-sheets in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01

    A method for rapid model building of ?-sheets at moderate resolution is presented. A method for rapidly building ?-sheets into electron-density maps is presented. ?-Strands are identified as tubes of high density adjacent to and nearly parallel to other tubes of density. The alignment and direction of each strand are identified from the pattern of high density corresponding to carbonyl and C{sup ?} atoms along the strand averaged over all repeats present in the strand. The ?-strands obtained are then assembled into a single atomic model of the ?-sheet regions. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. The ?-sheet regions were nearly completely built in all but two cases, the exceptions being one structure at 2.5 Ĺ resolution in which a third of the residues in ?-sheets were built and a structure at 3.8 Ĺ in which under 10% were built. The overall average r.m.s.d. of main-chain atoms in the residues built using this method compared with refined models of the structures was 1.5 Ĺ.

  15. State-based Modeling of Buildings and Facilities 

    E-Print Network [OSTI]

    Fisch, M.N.; Pinkernell, C.; Look, M.; Plesser, S.; Rumpe, B.

    2011-01-01

    State-Based Modeling of Buildings and Facilities Univ.-Prof. Dr. Ing. M. Norbert Fisch IGS TU Braunschweig http://www.igs.bau.tu-bs.de Dipl.-Inform. Claas Pinkernell synavision GmbH http://www.synavision.de Dipl.-Inform. Markus... Look Software Engineering RWTH Aachen University http://www.se-rwth.de Dipl.-Ing. Architekt Stefan Plesser synavision GmbH http://www.synavision.de Univ.-Prof. Dr. Bernhard Rumpe Software Engineering RWTH Aachen University http...

  16. Efficient Multi-Level Modeling and Monitoring of End-use Energy Profile in Commercial Buildings

    E-Print Network [OSTI]

    Kang, Zhaoyi

    2015-01-01

    buildings”. In: Energy Efficiency 5.2 (2012), pp. 149–162. [Sys- tems for Energy-Efficiency in Buildings. ACM. 2011, pp.Efficient Multi-Level Modeling and Monitoring of End-use

  17. Towards a hypermedia approach of data organization in building-modeling CAD systems

    E-Print Network [OSTI]

    Zhao, Jian, 1964-

    1990-01-01

    The development of architectural CAD systems implies a trend of using a comprehensive building model as the storage space for all relevant data about one design project. Instead of a set of drawing files, a building is ...

  18. Improved Building Energy Performance Modelling through Comparison of Measured Data with Simulated Results 

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01

    the building and comparing simulated results to the measured data. The simulated building energy performance results achieved in the first stage of computer modelling show a reasonable correlation with measured data, however, further work is required to create...

  19. A Decision-Making Model for the Asian Intelligent Building Index 

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01

    The paper presents a multi-criteria decision-making model to evaluate the sustainable performances of intelligent buildings based on the Asian IB index, which is recommended by the Asian Institute of Intelligent Buildings. To undertake this task...

  20. FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda

    E-Print Network [OSTI]

    FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe­ sis. 2. Earth System Models An earth system model is a computer code designed

  1. Energy Benchmarking and Disclosure | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementofAprilofEnergyEnSysEnergyBuildings |Benchmarking

  2. BUILDING ROBUST APPEARANCE MODELS USING ON-LINE FEATURE SELECTION

    SciTech Connect (OSTI)

    PORTER, REID B. [Los Alamos National Laboratory; LOVELAND, ROHAN [Los Alamos National Laboratory; ROSTEN, ED [Los Alamos National Laboratory

    2007-01-29

    In many tracking applications, adapting the target appearance model over time can improve performance. This approach is most popular in high frame rate video applications where latent variables, related to the objects appearance (e.g., orientation and pose), vary slowly from one frame to the next. In these cases the appearance model and the tracking system are tightly integrated, and latent variables are often included as part of the tracking system's dynamic model. In this paper we describe our efforts to track cars in low frame rate data (1 frame/second) acquired from a highly unstable airborne platform. Due to the low frame rate, and poor image quality, the appearance of a particular vehicle varies greatly from one frame to the next. This leads us to a different problem: how can we build the best appearance model from all instances of a vehicle we have seen so far. The best appearance model should maximize the future performance of the tracking system, and maximize the chances of reacquiring the vehicle once it leaves the field of view. We propose an online feature selection approach to this problem and investigate the performance and computational trade-offs with a real-world dataset.

  3. A Study of Building Information Modeling Usage through the Perceived Utilization of Facilities Management Training, Building Information Modeling Technical Specifications, and a Quality Building Information Model for Facilities Management at Higher Educational Institutions in Texas 

    E-Print Network [OSTI]

    Thompson, Darrell

    2014-12-15

    The research for this study investigated the correlation between the perceived usage of Building Information Modeling in Facilities Management and; the perceived training level of the FM personnel, the perceived specification requirement...

  4. Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    STANDARD (NBIMS) ON BUILDING ENERGY PERFORMANCE SIMULATIONare pertinent to building energy performance simulation andprobable impact on building energy performance simulation

  5. Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

  6. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01

    Benchmarking: Concepts and Tools Evan Mills, Paul Mathew &Most energy benchmarking tools provide static feedback onand associated software tool— EnergyIQ. The benchmarking

  7. Natural ventilation in buildings : modeling, control and optimization

    E-Print Network [OSTI]

    Ip Kiun Chong, Karine

    2014-01-01

    Natural ventilation in buildings has the potential to reduce the energy consumption usually associated with mechanical cooling while maintaining thermal comfort and air quality. It is important to know how building parameters, ...

  8. Buildings and corporate strategy : towards a management system model

    E-Print Network [OSTI]

    Brana, Rodrigo

    1985-01-01

    This thesis focuses on buildings as a subject of attention and inquiry in a corporate setting. It attempts to draw implications for the design of a management system to deal with the special nature of buildings as a resource. ...

  9. Modeling National Impacts for the Building America Program

    E-Print Network [OSTI]

    Coughlin, Katie M.; McNeil, Michael A.

    2008-01-01

    build up its energy demand forecasts [1]. Building AmericaEnergy Outlook (AEO), which provides a forecast of energy supply and demanddemand is recalculated each year based on forecast ?oor space growth, e?ciency trends, energy

  10. Rapid model building of ?-helices in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01

    A method for rapid model building of ?-helices at moderate resolution is presented. A method for the identification of ?-helices in electron-density maps at low resolution followed by interpretation at moderate to high resolution is presented. Rapid identification is achieved at low resolution, where ?-helices appear as tubes of density. The positioning and direction of the ?-helices is obtained at moderate to high resolution, where the positions of side chains can be seen. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. An average of 63% of the ?-helical residues in these proteins were built and an average of 76% of the residues built matched helical residues in the refined models of the proteins. The overall average r.m.s.d. between main-chain atoms in the modeled ?-helices and the nearest atom with the same name in the refined models of the proteins was 1.3 Ĺ.

  11. Modeling and Control of AHUs in Building HVAC Systems

    E-Print Network [OSTI]

    Liang, Wei

    2014-01-01

    integration. R and is easily implemented into • The algorithm is based on WebCTRL , building automation systems.

  12. Development of a High-Performance Office Building Simulation Model for a Hot and Humid Climate 

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2009-01-01

    applicable to office buildings in hot and humid climates and to develop a high-performance (maximum energy-efficient) building model that only uses technologies readily available in the contemporary market. The high-performance model showed 48% total... HIGH-PERFORMANCE OFFICE BUILDING SIMULATION MODEL FOR A HOT AND HUMID CLIMATE Soolyeon Cho1 and Jeff S. Haberl2 1The Catholic University of America, Washington, D.C., USA 2Texas A&M University, College Station, TX, USA ABSTRACT...

  13. Duct Thermal Performance Models for Large Commercial Buildings

    E-Print Network [OSTI]

    Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department in the Building Technologies Department were also helpful and supportive of this work, particularly regarding buildings, and the author is grateful for their input. Advice from Michaël Kummert of the Solar Energy

  14. Commercial and Multifamily Building Benchmarking and Disclosure |

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartment ofCommercial Grade Dedication (CGD) isWaterDepartment of

  15. Building Energy Use Benchmarking | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLC |EnergycurrentlyJuneEnergyAssistantAssetAbout

  16. Building Simulation Modelers are we big-data ready?

    SciTech Connect (OSTI)

    Sanyal, Jibonananda; New, Joshua Ryan

    2014-01-01

    Recent advances in computing and sensor technologies have pushed the amount of data we collect or generate to limits previously unheard of. Sub-minute resolution data from dozens of channels is becoming increasingly common and is expected to increase with the prevalence of non-intrusive load monitoring. Experts are running larger building simulation experiments and are faced with an increasingly complex data set to analyze and derive meaningful insight. This paper focuses on the data management challenges that building modeling experts may face in data collected from a large array of sensors, or generated from running a large number of building energy/performance simulations. The paper highlights the technical difficulties that were encountered and overcome in order to run 3.5 million EnergyPlus simulations on supercomputers and generating over 200 TBs of simulation output. This extreme case involved development of technologies and insights that will be beneficial to modelers in the immediate future. The paper discusses different database technologies (including relational databases, columnar storage, and schema-less Hadoop) in order to contrast the advantages and disadvantages of employing each for storage of EnergyPlus output. Scalability, analysis requirements, and the adaptability of these database technologies are discussed. Additionally, unique attributes of EnergyPlus output are highlighted which make data-entry non-trivial for multiple simulations. Practical experience regarding cost-effective strategies for big-data storage is provided. The paper also discusses network performance issues when transferring large amounts of data across a network to different computing devices. Practical issues involving lag, bandwidth, and methods for synchronizing or transferring logical portions of the data are presented. A cornerstone of big-data is its use for analytics; data is useless unless information can be meaningfully derived from it. In addition to technical aspects of managing big data, the paper details design of experiments in anticipation of large volumes of data. The cost of re-reading output into an analysis program is elaborated and analysis techniques that perform analysis in-situ with the simulations as they are run are discussed. The paper concludes with an example and elaboration of the tipping point where it becomes more expensive to store the output than re-running a set of simulations.

  17. MODELING OF HEAT TRANSFER IN ROOMS IN THE MODELICA "BUILDINGS" LIBRARY

    E-Print Network [OSTI]

    MODELING OF HEAT TRANSFER IN ROOMS IN THE MODELICA "BUILDINGS" LIBRARY Michael Wetter, Wangda Zuo describes the implementation of the room heat transfer model in the free open-source Modelica "Buildings the model is de- composed into submodels for the individual heat transfer phenomena. We also discuss

  18. Systematic time-based study for quantifying the uncertainty of uncalibrated models in building energy simulations 

    E-Print Network [OSTI]

    Ahmad, Mushtaq

    2005-07-27

    models were created for all the buildings; the massless model with emphasis on the envelope using massless construction and typical values for system parameters and the advanced model with the inclusion of thermal mass and extensive as-built details...

  19. Modeling of Heat Transfer in Rooms in the Modelica Buildings Library

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01

    Multizone Air- flow Model in Modelica. ” Edited by ChristianRecent developments of the Modelica buildings library forof the 8-th International Modelica Conference. Modelica

  20. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Conclusion

    Broader source: Energy.gov [DOE]

    Conclusion of the Utility Program Administrator Business Model Guide, as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

  1. High-tech buildings - Market transformation project

    E-Print Network [OSTI]

    Applications Team

    2001-01-01

    Energy Benchmarking in High-Tech and Biotech Industries,”Recommendations for future high-tech facilities energyLBNL. Task Three-High-Tech Buildings Market Transformation

  2. Better Buildings Network View, July 2014

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    a set of policies and programs through energy benchmarking that improve energy efficiency in buildings. CEP is supported in part by fellow Residential Network member the Institute...

  3. Comparison and validation of HEU and LEU modeling results to HEU experimental benchmark data for the Massachusetts Institute of Technology MITR reactor.

    SciTech Connect (OSTI)

    Newton, T. H.; Wilson, E. H; Bergeron, A.; Horelik, N.; Stevens, J. (Nuclear Engineering Division); (MIT Nuclear Reactor Lab.)

    2011-03-02

    The Massachusetts Institute of Technology Reactor (MITR-II) is a research reactor in Cambridge, Massachusetts designed primarily for experiments using neutron beam and in-core irradiation facilities. It delivers a neutron flux comparable to current LWR power reactors in a compact 6 MW core using Highly Enriched Uranium (HEU) fuel. In the framework of its non-proliferation policies, the international community presently aims to minimize the amount of nuclear material available that could be used for nuclear weapons. In this geopolitical context, most research and test reactors both domestic and international have started a program of conversion to the use of Low Enriched Uranium (LEU) fuel. A new type of LEU fuel based on an alloy of uranium and molybdenum (UMo) is expected to allow the conversion of U.S. domestic high performance reactors like the MITR-II reactor. Towards this goal, comparisons of MCNP5 Monte Carlo neutronic modeling results for HEU and LEU cores have been performed. Validation of the model has been based upon comparison to HEU experimental benchmark data for the MITR-II. The objective of this work was to demonstrate a model which could represent the experimental HEU data, and therefore could provide a basis to demonstrate LEU core performance. This report presents an overview of MITR-II model geometry and material definitions which have been verified, and updated as required during the course of validation to represent the specifications of the MITR-II reactor. Results of calculations are presented for comparisons to historical HEU start-up data from 1975-1976, and to other experimental benchmark data available for the MITR-II Reactor through 2009. This report also presents results of steady state neutronic analysis of an all-fresh LEU fueled core. Where possible, HEU and LEU calculations were performed for conditions equivalent to HEU experiments, which serves as a starting point for safety analyses for conversion of MITR-II from the use of HEU fuel to the use of UMo LEU fuel.

  4. Senior Design Projects 2013 Project Title 1 : Monte Carlo Simulations Using a Benchmark Full-Core Pressured Water Rector Model

    E-Print Network [OSTI]

    Danon, Yaron

    -Core Pressured Water Rector Model Advisor: Prof. X. George Xu (JEC 5003; Tel: 518-276-4014; Email: xug2@rpi in the design and analysis of nuclear reactor systems. One of the most desirable modeling and simulation a full-core PWR reactor model for parallel MCNP calculations on the CCNI system 4. Code optimization

  5. AN ENERGY BENCHMARK FOR SOFTWARE UPDATES ON WIRELESS SENSOR NODES

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    AN ENERGY BENCHMARK FOR SOFTWARE UPDATES ON WIRELESS SENSOR NODES S. Brown*, C.J. Sreenan *Dept, Modelling, Energy, Benchmark. Abstract Energy consumption is arguably the key factor in the design not consume a significant fraction of a WSN's energy reserve; also, the required consumption must be known

  6. The effect of simplifying the building description on the numerical modeling of its thermal performance

    SciTech Connect (OSTI)

    Stetiu, C.

    1993-07-01

    A thermal building simulation program is a numerical model that calculates the response of the building envelopes to weather and human activity, simulates dynamic heating and cooling loads, and heating and cooling distribution systems, and models building equipment operation. The scope of the research is to supply the users of such programs with information about the dangers and benefits of simplifying the input to their models. The Introduction describes the advantages of modeling the heat transfer mechanisms in a building. The programs that perform this type of modeling have, however, limitations. The user is therefore often put in the situation of simplifying the floor plans of the building under study, but not being able to check the effects that this approximation introduces in the results of the simulation. Chapter 1 is a description of methods. It also introduces the floor plans for the office building under study and the ``reasonable`` floor plans simplifications. Chapter 2 presents DOE-2, the thermal building simulation program used in the sensitivity study. The evaluation of the accuracy of the DOE-2 program itself is also presented. Chapter 3 contains the sensitivity study. The complicated nature of the process of interpreting the temperature profile inside a space leads to the necessity of defining different building modes. The study compares the results from the model of the detailed building description with the results from the models of the same building having simplified floor plans. The conclusion is reached that a study of the effects of simplifying the floor plans of a building is important mainly for defining the cases in which this approximation is acceptable. Different results are obtained for different air conditioning/load regimes of the building. 9 refs., 24 figs.

  7. Real-Time Building Energy Modeling, fault Detection and Diagnostic for a DoD Building 

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01

    -12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Introduction • Motivation Source: NBI report 2008 Energy Performance of LEED For New Construction Buildings ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy... performance to help decision making ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Building Facts • Each 150K sf2 Barrack– Compartments, classrooms and cafeteria/galley• Cooling– Two absorption...

  8. Benchmark field study of deep neutron penetration

    SciTech Connect (OSTI)

    Morgan, J.F.; Sale, K. ); Gold, R.; Roberts, J.H.; Preston, C.C. )

    1991-06-10

    A unique benchmark neutron field has been established at the Lawrence Livermore National Laboratory (LLNL) to study deep penetration neutron transport. At LLNL, a tandem accelerator is used to generate a monoenergetic neutron source that permits investigation of deep neutron penetration under conditions that are virtually ideal to model, namely the transport of mono-energetic neutrons through a single material in a simple geometry. General features of the Lawrence Tandem (LATAN) benchmark field are described with emphasis on neutron source characteristics and room return background. The single material chosen for the first benchmark, LATAN-1, is a steel representative of Light Water Reactor (LWR) Pressure Vessels (PV). Also included is a brief description of the Little Boy replica, a critical reactor assembly designed to mimic the radiation doses from the atomic bomb dropped on Hiroshima, and its us in neutron spectrometry. 18 refs.

  9. Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model 

    E-Print Network [OSTI]

    Reddy, S. N.; Hunn, B. D.; Hood, D. B.

    1994-01-01

    for whole-building electric, cooling, and heating energy use, and were compared with savings calculated using a regression model developed under the LoanSTAR program. Finally, to validate the model, postretrofit DOE-2 results were compared with measured...

  10. Deriving archetype templates for urban building energy models based on measured monthly energy use

    E-Print Network [OSTI]

    Sokol, Julia A. (Julia Alexandrovna)

    2015-01-01

    Interest in urban energy modeling has grown among planners and policy-makers as more and more municipalities set targets for reduction of greenhouse gas emissions. Urban-scale building energy models can help evaluate the ...

  11. Benchmarking Corporate Energy Management 

    E-Print Network [OSTI]

    Norland, D. L.

    2001-01-01

    CORPORATE ENERGY MANAGEMENT Dr. Douglas L. Norland Director of Research and Industrial Programs Alliance to Save Energy Washington, DC ABSTRACT There is growing interest among energy managers in finding out how their company's energy management... procedures and perfonnance compare to that of other companies. Energy management involves everything from setting goals and targets to implementing best maintenance practices. This paper, however, discusses benchmarking energy management practices...

  12. Benchmarking and Data Analysis 

    E-Print Network [OSTI]

    Williams, K.

    2014-01-01

    Kellie Williams | Houston ISD ESL-KT-14-11-14 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Benchmarking ? Process of comparing data sets ? Baselines, Goals, KPIs ? Energy Star Portfolio Manager ESL-KT-14-11-14 CATEE 2014... 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Bridge the Gap Codification ? Databases ? Document driven ? Classifying and sorting information Personalization ? Links people and ideas ? Meetings ? Focused on individual...

  13. Benchmarking of the MIT High Temperature Gas-cooled Reactor TRISO-coated particle fuel performance model

    E-Print Network [OSTI]

    Stawicki, Michael A

    2006-01-01

    MIT has developed a Coated Particle Fuel Performance Model to study the behavior of TRISO nuclear fuels. The code, TIMCOAT, is designed to assess the mechanical and chemical condition of populations of coated particles and ...

  14. SOME ANALYTIC MODELS OF PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGN OF ENERGY-CONSERVING BUILDINGS

    E-Print Network [OSTI]

    Goldstein, David Baird

    2011-01-01

    performance of 5 passive buildings. 3a. See Ref. 3a and thewell-performing passive building requires the use of anwork for unmanaged passive buildings; that is, buildings

  15. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01

    good benchmark energy consumption data for buildings, and (total energy consumption Although the measured data arelimited data available for building energy consumption in

  16. Creative agencies : a model for building community capacity

    E-Print Network [OSTI]

    Ramaccia, Elizabeth M. (Elizabeth Marie)

    2011-01-01

    This research investigates how existing initiatives based in artistic and non-artistic disciplines build indigenous capacity for leadership in disenfranchised communities through the application of the creative process. ...

  17. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    % of all natural gas produced in the United States thereby contributing 40% of the carbon dioxide emmissions in the United States [17]. The Department of Energy's (DOE) Building Technologies Office (BTO) has

  18. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    of a user interface for the EnergyPlus whole building energy2004) IFC HVAC Interface to EnergyPlus - A Case of Expandedsoftware. Tools such as EnergyPlus and DOE-2 use custom

  19. Analytical solutions for benchmarking cold regions subsurface water flow and energy transport models: One-dimensional soil thaw

    E-Print Network [OSTI]

    Freezing and thawing a b s t r a c t Numerous cold regions water flow and energy transport models have. Simulated and/or observed climate change impacts in cryogenic soils include permafrost degradation, active that include the dynamic freeze­thaw process have been tested against analytical solutions, such as the Neumann

  20. Dark Matter Benchmark Models for Early LHC Run-2 Searches. Report of the ATLAS/CMS Dark Matter Forum

    SciTech Connect (OSTI)

    Abercrombie, Daniel

    2015-07-06

    One of the guiding principles of this report is to channel the efforts of the ATLAS and CMS collaborations towards a minimal basis of dark matter models that should influence the design of the early Run-2 searches. At the same time, a thorough survey of realistic collider signals of Dark Matter is a crucial input to the overall design of the search program.

  1. Benchmarking the New RESRAD-OFFSITE Source Term Model with DUST-MS and GoldSim - 13377

    SciTech Connect (OSTI)

    Cheng, J.J.; Kamboj, S.; Gnanapragasam, E.; Yu, C.

    2013-07-01

    RESRAD-OFFSITE is a computer code developed by Argonne National Laboratory under the sponsorship of U.S. Department of Energy (DOE) and U.S. Nuclear Regulatory Commission (NRC). It is designed on the basis of RESRAD (onsite) code, a computer code designated by DOE and NRC for evaluating soil-contaminated sites for compliance with human health protection requirements pertaining to license termination or environmental remediation. RESRAD-OFFSITE has enhanced capabilities of modeling radionuclide transport to offsite locations and calculating potential radiation exposure to offsite receptors. Recently, a new source term model was incorporated into RESRAD-OFFSITE to enhance its capability further. This new source term model allows simulation of radionuclide releases from different waste forms, in addition to the soil sources originally considered in RESRAD (onsite) and RESRAD-OFFSITE codes. With this new source term model, a variety of applications can be achieved by using RESRAD-OFFSITE, including but not limited to, assessing the performance of radioactive waste disposal facilities. This paper presents the comparison of radionuclide release rates calculated by the new source term model of RESRAD-OFFSITE versus those calculated by DUST-MS and GoldSim, respectively. The focus of comparison is on the release rates of radionuclides from the bottom of the contaminated zone that was assumed to contain radioactive source materials buried in soil. The transport of released contaminants outside of the primary contaminated zone is beyond the scope of this paper. Overall, the agreement between the RESRAD-OFFSITE results and the DUST-MS and GoldSim results is fairly good, with all three codes predicting identical or similar radionuclide release profiles over time. Numerical dispersion in the DUST-MS and GoldSim results was identified as potentially contributing to the disagreement in the release rates. In general, greater discrepancy in the release rates was found for short-lived, fast-moving radionuclides than for long-lived, slow-moving radionuclides. (authors)

  2. Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience

    E-Print Network [OSTI]

    Jamasb, Tooraj; Pollitt, Michael G.

    2004-06-16

    in selecting benchmarking method, model, and inputs. 10. Is international benchmarking used? III. Benchmarking - process 11. Length of regulatory lag. 12. Number of iterations / consultations. 13. Separate handling of OPEX and CAPEX? 14. Is benchmarking... ), 100% (2005) T: 1 D: 1 95% (public) proposed - as a contributory factor - large degree of freedom COC, CAPEX, OPEX, tech. eff., qual. of serv. Italy independent reform: 1999 T, D, S bilateral (existing) spot & forward mkt. (fr.2001) balanc. mkt. (under...

  3. Interoperability Building Information Modeling and acoustical analysis software - A demonstration of a performing arts hall design process

    E-Print Network [OSTI]

    Kim, Sunyoung; Coffeen, Robert C.; Sanguinetti, Paola

    2013-06-02

    By sharing and managing the database for a building model, Building Information Modeling (BIM) facilitates the design process at less cost. Some of BIM software has capabilities for acoustical analysis, but it is limited to noise level demonstration...

  4. Benchmark of Atucha-2 PHWR RELAP5-3D control rod model by Monte Carlo MCNP5 core calculation

    SciTech Connect (OSTI)

    Pecchia, M.; D'Auria, F.; Mazzantini, O.

    2012-07-01

    Atucha-2 is a Siemens-designed PHWR reactor under construction in the Republic of Argentina. Its geometrical complexity and peculiarities require the adoption of advanced Monte Carlo codes for performing realistic neutronic simulations. Therefore core models of Atucha-2 PHWR were developed using MCNP5. In this work a methodology was set up to collect the flux in the hexagonal mesh by which the Atucha-2 core is represented. The scope of this activity is to evaluate the effect of obliquely inserted control rod on neutron flux in order to validate the RELAP5-3D{sup C}/NESTLE three dimensional neutron kinetic coupled thermal-hydraulic model, applied by GRNSPG/UNIPI for performing selected transients of Chapter 15 FSAR of Atucha-2. (authors)

  5. A strict test of stellar evolution models: The absolute dimensions of the massive benchmark eclipsing binary V578 Mon

    SciTech Connect (OSTI)

    Garcia, E. V.; Stassun, Keivan G.; Pavlovski, K.; Hensberge, H.; Chew, Y. Gómez Maqueo; Claret, A.

    2014-09-01

    We determine the absolute dimensions of the eclipsing binary V578 Mon, a detached system of two early B-type stars (B0V + B1V, P = 2.40848 days) in the star-forming region NGC 2244 of the Rosette Nebula. From the light curve analysis of 40 yr of photometry and the analysis of HERMES spectra, we find radii of 5.41 ± 0.04 R{sub ?} and 4.29 ± 0.05 R{sub ?}, and temperatures of 30,000 ± 500 K and 25,750 ± 435 K, respectively. We find that our disentangled component spectra for V578 Mon agree well with previous spectral disentangling from the literature. We also reconfirm the previous spectroscopic orbit of V578 Mon finding that masses of 14.54 ± 0.08 M{sub ?} and 10.29 ± 0.06 M{sub ?} are fully compatible with the new analysis. We compare the absolute dimensions to the rotating models of the Geneva and Utrecht groups and the models of the Granada group. We find that all three sets of models marginally reproduce the absolute dimensions of both stars with a common age within the uncertainty for gravity-effective temperature isochrones. However, there are some apparent age discrepancies for the corresponding mass-radius isochrones. Models with larger convective overshoot, >0.35, worked best. Combined with our previously determined apsidal motion of 0.07089{sub ?0.00013}{sup +0.00021} deg cycle{sup –1}, we compute the internal structure constants (tidal Love number) for the Newtonian and general relativistic contribution to the apsidal motion as log k {sub 2} = –1.975 ± 0.017 and log k {sub 2} = –3.412 ± 0.018, respectively. We find the relativistic contribution to the apsidal motion to be small, <4%. We find that the prediction of log k {sub 2,theo} = –2.005 ± 0.025 of the Granada models fully agrees with our observed log k {sub 2}.

  6. Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings

    E-Print Network [OSTI]

    Baker, Jack W.

    Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings Abbie Carlo Seismic reliability a b s t r a c t The primary goal of seismic provisions in building codes is to protect life safety through the prevention of structural collapse. To evaluate the extent to which current

  7. Mountain building in Taiwan: A thermokinematic model Martine Simoes,1,2,3

    E-Print Network [OSTI]

    Avouac, Jean-Philippe

    Mountain building in Taiwan: A thermokinematic model Martine Simoes,1,2,3 Jean Philippe Avouac,1, our study sheds new light onto mountain building processes in Taiwan and allows for reappraising the initial structural architecture of the passive margin. Citation: Simoes, M., J. P. Avouac, O. Beyssac, B

  8. Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic

    E-Print Network [OSTI]

    Bertini, Robert L.

    Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic #12;Scope of Talk & maintenance · Test hypotheses and build theory #12;Multi-use Trails in Indianapolis #12;Min Max Mean Week Days B MN* Active Infrared MM MN* Passive infrared P, MM MN MM MN Pressure Pads P P, B? Pneumatic tubes B

  9. Fusion of Feature-and Area-Based Information for Urban Buildings Modeling from Aerial Imagery

    E-Print Network [OSTI]

    Giger, Christine

    Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery on Graph Cuts. The fusion pro- cess exploits the advantages of both information sources and thus yields the complete geometry of the build- ing. The fusion of those sparse features is very fragile as there is no way

  10. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    SciTech Connect (OSTI)

    Sun, Kaiyu; Yan , Da; Hong , Tianzhen; Guo, Siyue

    2014-02-28

    Overtime is a common phenomenon around the world. Overtime drives both internal heat gains from occupants, lighting and plug-loads, and HVAC operation during overtime periods. Overtime leads to longer occupancy hours and extended operation of building services systems beyond normal working hours, thus overtime impacts total building energy use. Current literature lacks methods to model overtime occupancy because overtime is stochastic in nature and varies by individual occupants and by time. To address this gap in the literature, this study aims to develop a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building. A binomial distribution is used to represent the total number of occupants working overtime, while an exponential distribution is used to represent the duration of overtime periods. The overtime model is used to generate overtime occupancy schedules as an input to the energy model of a second office building. The measured and simulated cooling energy use during the overtime period is compared in order to validate the overtime model. A hybrid approach to energy model calibration is proposed and tested, which combines ASHRAE Guideline 14 for the calibration of the energy model during normal working hours, and a proposed KS test for the calibration of the energy model during overtime. The developed stochastic overtime model and the hybrid calibration approach can be used in building energy simulations to improve the accuracy of results, and better understand the characteristics of overtime in office buildings.

  11. House Simulation Protocols (Building America Benchmark) - Building America

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelB IMSofNewsletterGuidingUpdate Webinar Slidess g n i r p S r e p oTop

  12. Object-Oriented Database for Managing Building Modeling Components and Metadata: Preprint

    SciTech Connect (OSTI)

    Long, N.; Fleming, K.; Brackney, L.

    2011-12-01

    Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

  13. The NERSC MILC Benchmark

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week Day Year(activeInforumMILC The NERSC MILC Benchmark

  14. NERSC-8 Benchmarks

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic NERSC Training at8 Benchmarks NERSC-8

  15. TAP Webinar: Measuring the Impact of Benchmarking & Transparency- Methodologies and the NYC Example

    Broader source: Energy.gov [DOE]

    Hosted by the Technical Assistance Program (TAP), this webinar will cover two DOE resources that help stakeholders analyze the energy, non-energy, and market transformation impacts of building energy benchmarking policies and programs.

  16. Measuring the Impact of Benchmarking & Transparency- Methodologies and the NYC Example

    Broader source: Energy.gov [DOE]

    Hosted by the Technical Assistance Program (TAP), this webinar, held on June 18, 2015, covered two DOE resources that help stakeholders analyze the energy, non-energy, and market transformation impacts of building energy benchmarking policies and programs.

  17. Benchmark Evaluation of HTR-PROTEUS Pebble Bed Experimental Program

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bess, John D.; Montierth, Leland; Köberl, Oliver; Snoj, Luka

    2014-10-09

    Benchmark models were developed to evaluate 11 critical core configurations of the HTR-PROTEUS pebble bed experimental program. Various additional reactor physics measurements were performed as part of this program; currently only a total of 37 absorber rod worth measurements have been evaluated as acceptable benchmark experiments for Cores 4, 9, and 10. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the ˛ł?U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations of keff with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greatermore »than the benchmark values but within 1% and also within the 3? uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations of keff with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3?) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4?. The primary difference between the two nuclear data libraries is the adjustment of the absorption cross section of graphite. Simulations of the absorber rod worth measurements are within 3? of the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.« less

  18. Benchmark Evaluation of HTR-PROTEUS Pebble Bed Experimental Program

    SciTech Connect (OSTI)

    Bess, John D.; Montierth, Leland; Köberl, Oliver; Snoj, Luka

    2014-10-09

    Benchmark models were developed to evaluate 11 critical core configurations of the HTR-PROTEUS pebble bed experimental program. Various additional reactor physics measurements were performed as part of this program; currently only a total of 37 absorber rod worth measurements have been evaluated as acceptable benchmark experiments for Cores 4, 9, and 10. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the ˛ł?U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations of keff with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greater than the benchmark values but within 1% and also within the 3? uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations of keff with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3?) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4?. The primary difference between the two nuclear data libraries is the adjustment of the absorption cross section of graphite. Simulations of the absorber rod worth measurements are within 3? of the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.

  19. Decommissioning Benchmarking Study Final Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE's former Office of Environmental Restoration (EM-40) conducted a benchmarking study of its decommissioning program to analyze physical activities in facility decommissioning and to determine...

  20. 13-Feb-2008 submitted to Energy Engineering Action-Oriented Benchmarking

    E-Print Network [OSTI]

    or gas utilities to maintain energy consumption data for non-residential buildings in a format or absolute energy consumption and intensity indicators. Uses of energy benchmarking as applied to buildings of the data for a building to the Energy Star Portfolio Manager. Effective January 1, 2010 non

  1. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    LBNL-3393E Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions Paul Mathew (CEC), and by the U.S. Department of Energy, under Contract No. DE-AC02- 05CH11231. #12;Data Center ........................................................................................................3 3. Overall Data Center Performance Metrics

  2. Sustainability in Existing Federal Buildings

    Broader source: Energy.gov [DOE]

    For meeting federal sustainability requirements, agencies can use evaluation methods, such as benchmarking and energy audits, and planning to make existing buildings energy efficient. Agencies can follow these steps to comply with energy reduction requirements.

  3. A proposed benchmark for simulation in radiographic testing

    SciTech Connect (OSTI)

    Jaenisch, G.-R.; Deresch, A.; Bellon, C.; Schumm, A.; Guerin, P.

    2014-02-18

    The purpose of this benchmark study is to compare simulation results predicted by various models of radiographic testing, in particular those that are capable of separately predicting primary and scatter radiation for specimens of arbitrary geometry.

  4. Data and Analytics to Inform Energy Retrofit of High Performance Buildings

    SciTech Connect (OSTI)

    Hong , Tianzhen; Yang, Le; Hill, David; Feng , Wei

    2014-01-25

    Buildings consume more than one-third of the world?s primary energy. Reducing energy use in buildings with energy efficient technologies is feasible and also driven by energy policies such as energy benchmarking, disclosure, rating, and labeling in both the developed and developing countries. Current energy retrofits focus on the existing building stocks, especially older buildings, but the growing number of new high performance buildings built around the world raises a question that how these buildings perform and whether there are retrofit opportunities to further reduce their energy use. This is a new and unique problem for the building industry. Traditional energy audit or analysis methods are inadequate to look deep into the energy use of the high performance buildings. This study aims to tackle this problem with a new holistic approach powered by building performance data and analytics. First, three types of measured data are introduced, including the time series energy use, building systems operating conditions, and indoor and outdoor environmental parameters. An energy data model based on the ISO Standard 12655 is used to represent the energy use in buildings in a three-level hierarchy. Secondly, a suite of analytics were proposed to analyze energy use and to identify retrofit measures for high performance buildings. The data-driven analytics are based on monitored data at short time intervals, and cover three levels of analysis ? energy profiling, benchmarking and diagnostics. Thirdly, the analytics were applied to a high performance building in California to analyze its energy use and identify retrofit opportunities, including: (1) analyzing patterns of major energy end-use categories at various time scales, (2) benchmarking the whole building total energy use as well as major end-uses against its peers, (3) benchmarking the power usage effectiveness for the data center, which is the largest electricity consumer in this building, and (4) diagnosing HVAC equipment using detailed time-series operating data. Finally, a few energy efficiency measures were identified for retrofit, and their energy savings were estimated to be 20percent of the whole-building electricity consumption. Based on the analyses, the building manager took a few steps to improve the operation of fans, chillers, and data centers, which will lead to actual energy savings. This study demonstrated that there are energy retrofit opportunities for high performance buildings and detailed measured building performance data and analytics can help identify and estimate energy savings and to inform the decision making during the retrofit process. Challenges of data collection and analytics were also discussed to shape best practice of retrofitting high performance buildings.

  5. Improvements to building energy usage modeling during early design stages and retrofits

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01

    A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

  6. Building robust chemical reaction mechanisms : next generation of automatic model construction software

    E-Print Network [OSTI]

    Song, Jing, 1972-

    2004-01-01

    Building proper reaction mechanisms is crucial to model the system dynamic properties for many industrial processes with complex chemical reaction phenomena. Because of the complexity of a reaction mechanism, computer-aided ...

  7. Using Fourier Series to Model Hourly Energy Use in Commercial Buildings 

    E-Print Network [OSTI]

    Dhar, A.; Reddy, T. A.; Claridge, D. E.

    1993-01-01

    Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...

  8. Statistical Modeling of Daily Energy Consumption in Commercial Buildings Using Multiple Regression and Principal Component Analysis 

    E-Print Network [OSTI]

    Reddy, T. A.; Claridge, D.; Wu, J.

    1992-01-01

    Statistical models of energy use in commercial buildings are being increasingly used not only for predicting retrofit savings but also for identifying improper operation of HVAC systems. The conventional approach involves using multiple regression...

  9. Fire modeling for Building 221-T - T Plant Canyon Deck and Railroad Tunnel

    SciTech Connect (OSTI)

    Oar, D.L.

    1994-09-29

    This report was prepared by Hughes Associates, Inc. to document the results of fire models for building 221-T Canyon Deck and Railroad Tunnel. Backup data is contained in document No. WHC-SD-CP-ANAL-010, Rev. 0.

  10. Modelling Urban scale Retrofit, Pathways to 2050 Low Carbon Residential Building Stock 

    E-Print Network [OSTI]

    Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

    A bottom up engineering modelling approach has been used to investigate the pathways to 2050 low carbon residential building stock. The impact of housing retrofit, renewable technologies, occupant behaviour, and grid decarbonisation is measured at a...

  11. Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Department of Energy held a webcast titled "Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce" on Monday, October 22, 2012. The Renewable Energy Competency...

  12. Evaluation of Building Models Ildiko Suveg, George Vosselman

    E-Print Network [OSTI]

    Vosselman, George

    . The strategy presented in this paper uses Geographic Information System (GIS) maps and domain knowledge, evaluation function, mutual information, geometric constraints. Abstract This paper presents a knowledge-based approach for automatic 3D building reconstruction. By combining the aerial image analysis with information

  13. Scalable Tuning of Building Models to Hourly Data Aaron Garretta

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    building energy use by 50% by 2030 compared with a 2010 baseline. Many simulation-based analysis tools to the dozens of sensor channels that smart meters, smart appliances, and sensors are making available-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The "Autotune

  14. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    SciTech Connect (OSTI)

    Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul; Haves, Philip

    2009-07-01

    This paper describes the origin, structure and continuing development of a model of time varying energy consumption in the US commercial building stock. The model is based on a flexible structure that disaggregates the stock into various categories (e.g. by building type, climate, vintage and life-cycle stage) and assigns attributes to each of these (e.g. floor area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock dynamics, the model has been used to study the likely outcomes of specific policy and innovation scenarios targeting very low future energy consumption in the building stock. Model use has highlighted the scale of the challenge of meeting targets stated by various government and professional bodies, and the importance of considering both new construction and existing buildings.

  15. Cleanroom energy benchmarking results

    SciTech Connect (OSTI)

    Tschudi, William; Xu, Tengfang

    2001-09-01

    A utility market transformation project studied energy use and identified energy efficiency opportunities in cleanroom HVAC design and operation for fourteen cleanrooms. This paper presents the results of this work and relevant observations. Cleanroom owners and operators know that cleanrooms are energy intensive but have little information to compare their cleanroom's performance over time, or to others. Direct comparison of energy performance by traditional means, such as watts/ft{sup 2}, is not a good indicator with the wide range of industrial processes and cleanliness levels occurring in cleanrooms. In this project, metrics allow direct comparison of the efficiency of HVAC systems and components. Energy and flow measurements were taken to determine actual HVAC system energy efficiency. The results confirm a wide variation in operating efficiency and they identify other non-energy operating problems. Improvement opportunities were identified at each of the benchmarked facilities. Analysis of the best performing systems and components is summarized, as are areas for additional investigation.

  16. Building Energy Modeling Library - 2013 BTO Peer Review | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of Energy America:Antonio,BuildingDepartment

  17. DOE Announces Webinars on Buildings of the Future, Overcoming...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Cleansing Data for Benchmarking, and More DOE Announces Webinars on Next Generation Electric Machines, Zero Energy Buildings, and More DOE Announces Webinars on Deployment of...

  18. BASCin: Benchmark for Android from Santa Cruz

    E-Print Network [OSTI]

    Punniyakotti, Manikandan

    2012-01-01

    Implementation Android SDK Level . . . . . . . . . . . . . .CRUZ BASCin: Benchmark for Android from Santa Cruz A thesisA benchmark for Android. http://www.aurorasoftworks.com/

  19. Wind Response Control of Building with Variable Stiffness Tuned Mass Damper Using Empirical Mode Decomposition

    E-Print Network [OSTI]

    Nagarajaiah, Satish

    and is robust to changes in building stiffness and damping. In comparison, the passive tuned mass damper TMD canWind Response Control of Building with Variable Stiffness Tuned Mass Damper Using Empirical Mode of a wind-excited tall benchmark building is investigated in this study. The benchmark building considered

  20. Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model

    E-Print Network [OSTI]

    White, Robert D.

    Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model@acentech.com Robert D. White, Assistant Professor, Tufts University, Dept. of Mechanical Engineering, R vibration levels at each floor. Mathematical models of column, beam, and slab elements were developed

  1. User Assisted Modeling of Buildings from Aerial Images* J. Li, R. Nevatia and S. Nornoha

    E-Print Network [OSTI]

    Southern California, University of

    gabled roof. Models can be created by only one or two clicks in many cases. Efficient editing. The approach is designed to be efficient in user time and effort while pre- serving the quality of the models created. Currently our system is able to handle the rectangular buildings with flat roof or symmetric

  2. Outlook for Industrial Energy Benchmarking 

    E-Print Network [OSTI]

    Hartley, Z.

    2000-01-01

    The U.S. Environmental Protection Agency is exploring options to sponsor an industrial energy efficiency benchmarking study to identify facility specific, cost-effective best practices and technologies. Such a study could help develop a common...

  3. Benchmark On Sensitivity Calculation (Phase III)

    SciTech Connect (OSTI)

    Ivanova, Tatiana [IRSN; Laville, Cedric [IRSN; Dyrda, James [Atomic Weapons Establishment; Mennerdahl, Dennis [E. Mennerdahl Systems; Golovko, Yury [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Raskach, Kirill [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Tsiboulia, Anatoly [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Lee, Gil Soo [Korea Institute of Nuclear Safety (KINS); Woo, Sweng-Woong [Korea Institute of Nuclear Safety (KINS); Bidaud, Adrien [Labratoire de Physique Subatomique et de Cosmolo-gie (LPSC); Patel, Amrit [NRC; Bledsoe, Keith C [ORNL; Rearden, Bradley T [ORNL; Gulliford, J. [OECD Nuclear Energy Agency

    2012-01-01

    The sensitivities of the keff eigenvalue to neutron cross sections have become commonly used in similarity studies and as part of the validation algorithm for criticality safety assessments. To test calculations of the sensitivity coefficients, a benchmark study (Phase III) has been established by the OECD-NEA/WPNCS/EG UACSA (Expert Group on Uncertainty Analysis for Criticality Safety Assessment). This paper presents some sensitivity results generated by the benchmark participants using various computational tools based upon different computational methods: SCALE/TSUNAMI-3D and -1D, MONK, APOLLO2-MORET 5, DRAGON-SUSD3D and MMKKENO. The study demonstrates the performance of the tools. It also illustrates how model simplifications impact the sensitivity results and demonstrates the importance of 'implicit' (self-shielding) sensitivities. This work has been a useful step towards verification of the existing and developed sensitivity analysis methods.

  4. RESRAD-BUILD: A computer model for analyzing the radiological doses resulting from the remediation and occupancy of buildings contaminated with radioactive material

    SciTech Connect (OSTI)

    Yu, C.; LePoire, D.J.; Jones, L.G. [and others

    1994-11-01

    The RESRAD-BUILD computer code is a pathway analysis model designed to evaluate the potential radiological dose incurred by an individual who works or lives in a building contaminated with radioactive material. The transport of radioactive material inside the building from one compartment to another is calculated with an indoor air quality model. The air quality model considers the transport of radioactive dust particulates and radon progeny due to air exchange, deposition and resuspension, and radioactive decay and ingrowth. A single run of the RESRAD-BUILD code can model a building with up to: three compartments, 10 distinct source geometries, and 10 receptor locations. A shielding material can be specified between each source-receptor pair for external gamma dose calculations. Six exposure pathways are considered in the RESRAD-BUILD code: (1) external exposure directly from the source; (2) external exposure to materials deposited on the floor; (3) external exposure due to air submersion; (4) inhalation of airborne radioactive particulates; (5) inhalation of aerosol indoor radon progeny; and (6) inadvertent ingestion of radioactive material, either directly from the sources or from materials deposited on the surfaces of the building compartments. 4 refs., 23 figs., 4 tabs.

  5. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    2 Building energy performance simulation (BEPS)generation building energy simulation program. Energy Buildwhen using building energy simulation. Build Serv Eng Res

  6. Integrated canopy, building energy and radiosity model for 3D urban design

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01

    We present an integrated, three dimensional, model of urban canopy, building energy and radiosity, for early stage urban designs and test it on four urban morphologies. All sub-models share a common descriptions of the urban morphology, similar to 3D urban design master plans and have simple parameters. The canopy model is a multilayer model, with a new discrete layer approach that does not rely on simplified geometry such as canyon or regular arrays. The building energy model is a simplified RC equivalent model, with no hypotheses on internal zoning or wall composition. We use the CitySim software for the radiosity model. We study the effects of convexity, the number of buildings and building height, at constant density and thermal characteristics. Our results suggest that careful three dimensional morphology design can reduce heat demand by a factor of 2, especially by improving insolation of lower levels. The most energy efficient morphology in our simulations has both the highest surface/volume ratio and ...

  7. Validation of updated neutronic calculation models proposed for Atucha-II PHWR. Part II: Benchmark comparisons of PUMA core parameters with MCNP5 and improvements due to a simple cell heterogeneity correction

    SciTech Connect (OSTI)

    Grant, C. [Comision Nacional de Energia Atomica, Av del Libertador 8250, Buenos Aires 1429 (Argentina); Mollerach, R. [Nucleoelectrica Argentina S.A., Arribenos 3619, Buenos Aires 1429 (Argentina); Leszczynski, F.; Serra, O.; Marconi, J. [Comision Nacional de Energia Atomica, Av del Libertador 8250, Buenos Aires 1429 (Argentina); Fink, J. [Nucleoelectrica Argentina S.A., Arribenos 3619, Buenos Aires 1429 (Argentina)

    2006-07-01

    In 2005 the Argentine Government took the decision to complete the construction of the Atucha-II nuclear power plant, which has been progressing slowly during the last ten years. Atucha-II is a 745 MWe nuclear station moderated and cooled with heavy water, of German (Siemens) design located in Argentina. It has a pressure vessel design with 451 vertical coolant channels and the fuel assemblies (FA) are clusters of 37 natural UO{sub 2} rods with an active length of 530 cm. For the reactor physics area, a revision and update of reactor physics calculation methods and models was recently carried out covering cell, supercell (control rod) and core calculations. This paper presents benchmark comparisons of core parameters of a slightly idealized model of the Atucha-I core obtained with the PUMA reactor code with MCNP5. The Atucha-I core was selected because it is smaller, similar from a neutronic point of view, more symmetric than Atucha-II, and has some experimental data available. To validate the new models benchmark comparisons of k-effective, channel power and axial power distributions obtained with PUMA and MCNP5 have been performed. In addition, a simple cell heterogeneity correction recently introduced in PUMA is presented, which improves significantly the agreement of calculated channel powers with MCNP5. To complete the validation, the calculation of some of the critical configurations of the Atucha-I reactor measured during the experiments performed at first criticality is also presented. (authors)

  8. Validation of updated neutronic calculation models proposed for Atucha-II PHWR. Part I: Benchmark comparisons of WIMS-D5 and DRAGON cell and control rod parameters with MCNP5

    SciTech Connect (OSTI)

    Mollerach, R. [Nucleoelectrica Argentina S.A., Arribenos 3619, Buenos Aires 1429 (Argentina); Leszczynski, F. [Comision Nacional de Energia Atomica, Avenida del Libertador 8250, Buenos Aires 1429 (Argentina); Fink, J. [Nucleoelectrica Argentina S.A., Arribenos 3619, Buenos Aires 1429 (Argentina)

    2006-07-01

    In 2005 the Argentine Government took the decision to complete the construction of the Atucha-II nuclear power plant, which has been progressing slowly during the last ten years. Atucha-II is a 745 MWe nuclear station moderated and cooled with heavy water, of German (Siemens) design located in Argentina. It has a pressure-vessel design with 451 vertical coolant channels, and the fuel assemblies (FA) are clusters of 37 natural UO{sub 2} rods with an active length of 530 cm. For the reactor physics area, a revision and update calculation methods and models (cell, supercell and reactor) was recently carried out covering cell, supercell (control rod) and core calculations. As a validation of the new models some benchmark comparisons were done with Monte Carlo calculations with MCNP5. This paper presents comparisons of cell and supercell benchmark problems based on a slightly idealized model of the Atucha-I core obtained with the WIMS-D5 and DRAGON codes with MCNP5 results. The Atucha-I core was selected because it is smaller, similar from a neutronic point of view, and more symmetric than Atucha-II Cell parameters compared include cell k-infinity, relative power levels of the different rings of fuel rods, and some two-group macroscopic cross sections. Supercell comparisons include supercell k-infinity changes due to the control rods (tubes) of steel and hafnium. (authors)

  9. Modelling Residential-Scale Combustion-Based Cogeneration in Building Simulation

    SciTech Connect (OSTI)

    Ferguson, A.; Kelly, N.; Weber, A.; Griffith, B.

    2009-03-01

    This article describes the development, calibration and validation of a combustion-cogeneration model for whole-building simulation. As part of IEA Annex 42, we proposed a parametric model for studying residentialscale cogeneration systems based on both Stirling and internal combustion engines. The model can predict the fuel use, thermal output and electrical generation of a cogeneration device in response to changing loads, coolant temperatures and flow rates, and control strategies. The model is now implemented in the publicly-available EnergyPlus, ESP-r and TRNSYS building simulation programs. We vetted all three implementations using a comprehensive comparative testing suite, and validated the model's theoretical basis through comparison to measured data. The results demonstrate acceptable-to-excellent agreement, and suggest the model can be used with confidence when studying the energy performance of cogeneration equipment in non-condensing operation.

  10. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

    Performance with an EnergyPlus Model in a Low Energy CampusPerformance with an EnergyPlus Model in a Low Energy Campusevents. In this paper, an EnergyPlus model of the building

  11. Energy Systems Laboratory: Building a Model Repository Collection 

    E-Print Network [OSTI]

    Koenig, Jay; Haberl, Jeff S.; Gilman, Don; Hughes, Sherrie

    2008-06-05

    • Metadata • Upload to Repository • Train replacements • Batch Loading • File structure created • Passed to Digital Initiatives The Model Collection • Well Organized • Self-Sufficient • Diverse • Large • Rapidly Growing Video Interview with Jeff Haberl, PhD ...

  12. Data Center Energy Benchmarking: Part 1 -Case Studies on Two Co-location Data Centers

    E-Print Network [OSTI]

    Data Center Energy Benchmarking: Part 1 - Case Studies on Two Co-location Data Centers (No. 16 Centers # 16 and #17 were located in a four-story building in San Francisco, California. The data center area. Two out of eight data centers in the building were occupied by computers and equipment, and were

  13. Improving macromolecular atomic models at moderate resolution by automated iterative model building, statistical density modification and refinement

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-07-01

    A procedure for iterative model-building, statistical density modification and refinement at moderate resolution (up to about 2.8 Ĺ) is described. An iterative process for improving the completeness and quality of atomic models automatically built at moderate resolution (up to about 2.8 Ĺ) is described. The process consists of cycles of model building interspersed with cycles of refinement and combining phase information from the model with experimental phase information (if any) using statistical density modification. The process can lead to substantial improvements in both the accuracy and completeness of the model compared with a single cycle of model building. For eight test cases solved by MAD or SAD at resolutions ranging from 2.0 to 2.8 Ĺ, the fraction of models built and assigned to sequence was 46–91% (mean of 65%) after the first cycle of building and refinement, and 78-95% (mean of 87%) after 20 cycles. In an additional test case, an incorrect model of gene 5 protein (PDB code 2gn5; r.m.s.d. of main-chain atoms from the more recent refined structure 1vqb at 1.56 Ĺ) was rebuilt using only structure-factor amplitude information at varying resolutions from 2.0 to 3.0 Ĺ. Rebuilding was effective at resolutions up to about 2.5 Ĺ. The resulting models had 60-80% of the residues built and an r.m.s.d. of main-chain atoms from the refined structure of 0.20 to 0.62 Ĺ. The algorithm is useful for building preliminary models of macromolecules suitable for an experienced crystallographer to extend, correct and fully refine.

  14. A caveat on building nonlocal models of cosmology

    SciTech Connect (OSTI)

    Tsamis, N.C.; Woodard, R.P. E-mail: woodard@phys.ufl.edu

    2014-09-01

    Nonlocal models of cosmology might derive from graviton loop corrections to the effective field equations from the epoch of primordial inflation. Although the Schwinger-Keldysh formalism would automatically produce causal and conserved effective field equations, the models so far proposed have been purely phenomenological. Two techniques have been employed to generate causal and conserved field equations: either varying an invariant nonlocal effective action and then enforcing causality by the ad hoc replacement of any advanced Green's function with its retarded counterpart, or else introducing causal nonlocality into a general ansatz for the field equations and then enforcing conservation. We point out here that the two techniques access very different classes of models, and that neither one of them may represent what would actually arise from fundamental theory.

  15. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jonathan; Marnay, Chris; Mendes, Goncalo; Appen, Jan von; Megel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-17

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.

  16. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jon; Marnay, Chris; Lai, Judy; Mendes, Goncalo; Appen, Jan von; Mé gel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-18

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analyzed.

  17. Analysis of the Impact of Using Improved Multi-Layer Window Models for Code-Compliant Residential Building Energy Simulation in Texas 

    E-Print Network [OSTI]

    Choi, Jong-Hyo

    2014-12-23

    are a crucial building component that affects a building’s heating and cooling energy. Currently, there are two window modeling methods, the Transmittance, Absorptance and Reflectance (TAR) method, and the Multi-Layer Window (MLW) method. MLW method...

  18. Benchmark Evaluation of the NRAD Reactor LEU Core Startup Measurements

    SciTech Connect (OSTI)

    J. D. Bess; T. L. Maddock; M. A. Marshall

    2011-09-01

    The Neutron Radiography (NRAD) reactor is a 250-kW TRIGA-(Training, Research, Isotope Production, General Atomics)-conversion-type reactor at the Idaho National Laboratory; it is primarily used for neutron radiography analysis of irradiated and unirradiated fuels and materials. The NRAD reactor was converted from HEU to LEU fuel with 60 fuel elements and brought critical on March 31, 2010. This configuration of the NRAD reactor has been evaluated as an acceptable benchmark experiment and is available in the 2011 editions of the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP Handbook) and the International Handbook of Evaluated Reactor Physics Benchmark Experiments (IRPhEP Handbook). Significant effort went into precisely characterizing all aspects of the reactor core dimensions and material properties; detailed analyses of reactor parameters minimized experimental uncertainties. The largest contributors to the total benchmark uncertainty were the 234U, 236U, Er, and Hf content in the fuel; the manganese content in the stainless steel cladding; and the unknown level of water saturation in the graphite reflector blocks. A simplified benchmark model of the NRAD reactor was prepared with a keff of 1.0012 {+-} 0.0029 (1s). Monte Carlo calculations with MCNP5 and KENO-VI and various neutron cross section libraries were performed and compared with the benchmark eigenvalue for the 60-fuel-element core configuration; all calculated eigenvalues are between 0.3 and 0.8% greater than the benchmark value. Benchmark evaluations of the NRAD reactor are beneficial in understanding biases and uncertainties affecting criticality safety analyses of storage, handling, or transportation applications with LEU-Er-Zr-H fuel.

  19. WIPP Benchmark calculations with the large strain SPECTROM codes

    SciTech Connect (OSTI)

    Callahan, G.D.; DeVries, K.L. [RE/SPEC, Inc., Rapid City, SD (United States)

    1995-08-01

    This report provides calculational results from the updated Lagrangian structural finite-element programs SPECTROM-32 and SPECTROM-333 for the purpose of qualifying these codes to perform analyses of structural situations in the Waste Isolation Pilot Plant (WIPP). Results are presented for the Second WIPP Benchmark (Benchmark II) Problems and for a simplified heated room problem used in a parallel design calculation study. The Benchmark II problems consist of an isothermal room problem and a heated room problem. The stratigraphy involves 27 distinct geologic layers including ten clay seams of which four are modeled as frictionless sliding interfaces. The analyses of the Benchmark II problems consider a 10-year simulation period. The evaluation of nine structural codes used in the Benchmark II problems shows that inclusion of finite-strain effects is not as significant as observed for the simplified heated room problem, and a variety of finite-strain and small-strain formulations produced similar results. The simplified heated room problem provides stratigraphic complexity equivalent to the Benchmark II problems but neglects sliding along the clay seams. The simplified heated problem does, however, provide a calculational check case where the small strain-formulation produced room closures about 20 percent greater than those obtained using finite-strain formulations. A discussion is given of each of the solved problems, and the computational results are compared with available published results. In general, the results of the two SPECTROM large strain codes compare favorably with results from other codes used to solve the problems.

  20. Model Simulating Real Domestic Hot Water Use - Building America Top

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlandsof Energy Model Repair Specifications

  1. Modeling and Simulation of Human Behavior in Buildings

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlandsof Energy Model RepairCladdings:Tianzhen Hong,

  2. Benchmarking and Equipment and Controls Assessment for a 'Big Box' Retail Chain

    SciTech Connect (OSTI)

    Haves, Philip; Coffey, Brian; Williams, Scott

    2008-06-11

    The paper describes work to enable improved energy performance of existing and new retail stores belonging to a national chain and thereby also identify measures and tools that would improve the performance of 'big box' stores generally. A detailed energy simulation model of a standard store design was developed and used to: (1) demonstrate the benefits of benchmarking the energy performance of retail stores of relatively standard design using baselines derived from simulation, (2) identify cost-effective improvements in the efficiency of components to be incorporated in the next design cycle, and (3) use simulation to identify potential control strategy improvements that could be adopted in all stores, improving operational efficiency. The core enabling task of the project was to develop an energy model of the current standard design using the EnergyPlus simulation program. For the purpose of verification of the model against actual utility bills, the model was reconfigured to represent twelve existing stores (seven relatively new stores and five older stores) in different US climates and simulations were performed using weather data obtained from the National Weather Service. The results of this exercise, which showed generally good agreement between predicted and measured total energy use, suggest that dynamic benchmarking based on energy simulation would be an effective tool for identifying operational problems that affect whole building energy use. The models of the seven newer stores were then configured with manufacturers performance data for the equipment specified in the current design and used to assess the energy and cost benefits of increasing the efficiency of selected HVAC, lighting and envelope components. The greatest potential for cost-effective energy savings appears to be a substantial increase in the efficiency of the blowers in the roof top units and improvements in the efficiency of the lighting. The energy benefits of economizers on the roof-top units were analyzed and found to be very sensitive to the operation of the exhaust fans used to control building pressurization.

  3. Automated main-chain model building by template matching and iterative fragment extension

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01

    A method for automated macromolecular main-chain model building is described. An algorithm for the automated macromolecular model building of polypeptide backbones is described. The procedure is hierarchical. In the initial stages, many overlapping polypeptide fragments are built. In subsequent stages, the fragments are extended and then connected. Identification of the locations of helical and ?-strand regions is carried out by FFT-based template matching. Fragment libraries of helices and ?-strands from refined protein structures are then positioned at the potential locations of helices and strands and the longest segments that fit the electron-density map are chosen. The helices and strands are then extended using fragment libraries consisting of sequences three amino acids long derived from refined protein structures. The resulting segments of polypeptide chain are then connected by choosing those which overlap at two or more C{sup ?} positions. The fully automated procedure has been implemented in RESOLVE and is capable of model building at resolutions as low as 3.5 Ĺ. The algorithm is useful for building a preliminary main-chain model that can serve as a basis for refinement and side-chain addition.

  4. Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy

    E-Print Network [OSTI]

    Stine, Robert A.

    Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy Dean P. Foster and Robert A. Stine Department of Statistics The Wharton School of the University of Pennsylvania consequences of over-fitting (e.g. ?). Many in- teresting problems, particularly classification problems

  5. Segmentation of building models from dense 3D point-clouds Joachim Bauer

    E-Print Network [OSTI]

    Schindler, Konrad

    , Institute for Computer Graphics and Vision, Graz University of Technology {bauer,karner,klausSegmentation of building models from dense 3D point-clouds Joachim Bauer , Konrad Karner , Konrad Schindler , Andreas Klaus , Christopher Zach VRVis Research Center for Virtual Reality and Visualization

  6. Attorneys Interacting with Legal Information Systems: Tools for Mental Model Building and Task Integration

    E-Print Network [OSTI]

    Soergel, Dagobert

    Attorneys Interacting with Legal Information Systems: Tools for Mental Model Building and Task Integration Anita Komlodi Department of Information Systems, UMBC 1000 Hilltop Circle, Baltimore, MD 21250, +1-410-455-3212, komlodi@umbc.edu Dagobert Soergel College of Information Studies, University of Maryland 4105 Hornbake

  7. Towards building an anatomically correct solid eye model with volumetric representation of retinal morphology

    E-Print Network [OSTI]

    Hamann, Bernd

    Towards building an anatomically correct solid eye model with volumetric representation of retinal volumetric retinal morphology) has many applications in the field of ophthalmology, including evaluation of ophthalmic instruments and optometry/ophthalmology training. We present a method that uses volumetric OCT

  8. Subject Benchmark UK Quality Code for Higher Education

    E-Print Network [OSTI]

    Haase, Markus

    Subject Benchmark Statement UK Quality Code for Higher Education Part A: Setting and maintaining About Subject Benchmark Statements.................................................................................. 2 About this Subject Benchmark Statement

  9. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01

    S. (1983). Raising the open U value by passive means. Proc. 8th Nat. Passive Solar Conf. Glorieta, NM, pp.839-842. Bahai H. and Esat I.I. (1994). A hybrid model for analysis of complex stress distribution in threaded connectors. Computers... Research Centre of Finland. Kalogirou SA, Neocleous CC and Schizas CN. (1997). Heating load estimation using artificial neural networks. In: Proc. CLIMA 2000 Conf., Brussels (Belgium). Klein S.A., Beckman W.A. et al. (1994). TRNSYS-A Transient System...

  10. Property:Buildings/ModelTargetType | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformation TotalPropertyModelTargetType

  11. Property:Buildings/ModelXmlFile | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile Jump to:

  12. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile Jump

  13. Building a Statistical Model toBuilding a Statistical Model to Predict Reactor TemperaturesPredict Reactor Temperatures

    E-Print Network [OSTI]

    Scarrott, Carl

    ENGXT +++= )F( ­ Temperature at Channel (i,j) ­ Fuel Irradiation for Channel (r,s) ­ Direct and Neutron(.)?How to Model F(.)? l Effect of Fuel Irradiation on Temperatures l Direct Non-Linear Effect l Neutron Diffusion Region Cold Outer Region l Similar Behaviour ­ Sharp Increase ­ Constant l Weak Relationship l Scatter

  14. Automated side-chain model building and sequence assignment by template matching

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01

    A method for automated macromolecular side-chain model building and for aligning the sequence to the map is described. An algorithm is described for automated building of side chains in an electron-density map once a main-chain model is built and for alignment of the protein sequence to the map. The procedure is based on a comparison of electron density at the expected side-chain positions with electron-density templates. The templates are constructed from average amino-acid side-chain densities in 574 refined protein structures. For each contiguous segment of main chain, a matrix with entries corresponding to an estimate of the probability that each of the 20 amino acids is located at each position of the main-chain model is obtained. The probability that this segment corresponds to each possible alignment with the sequence of the protein is estimated using a Bayesian approach and high-confidence matches are kept. Once side-chain identities are determined, the most probable rotamer for each side chain is built into the model. The automated procedure has been implemented in the RESOLVE software. Combined with automated main-chain model building, the procedure produces a preliminary model suitable for refinement and extension by an experienced crystallographer.

  15. ESPRE 2. 1 engineering model: Simplified energy analysis methods for residential buildings

    SciTech Connect (OSTI)

    Merriam, R.L. (Little (Arthur D.), Inc., Cambridge, MA (United States))

    1992-08-01

    The design and operation of ESPRE (EPRI Simplified Program for Residential Energy) are described in this engineering manual. ESPRE, which is implemented in MS-DOS, carries out hourly simulations of thermal loads and energy use for space conditioning and water heating in residential buildings. The program design objectives are summarized and the model limitations and strengths are described. Fundamental assumptions underlying the program are specified. Explanation of the overall program structure provides a basis for outlining specific approaches to determination of the hourly building loads and energy use and water heater performance. The important elements of the building loads analysis are described in detail, including the interactions of the heat tow and the equipment behavior. Algorithms for the individual thermal load components are shown. A number of residential system options for heating and cooling the building are available with the model. Parameters considered by the equipment models are described. Interactions between the water heater and space conditioning equipment are considered. The purpose of the documentation is to enhance an understanding of the program to facilitate its proper use. As with any program, the accuracy of the analysis will depend on its proper use.

  16. Evidence-based calibration of a building energy simulation model: Application to an office building in Belgium 

    E-Print Network [OSTI]

    Bertagnolio, S.; Randaxhe, F.; Lemort, V.

    2012-01-01

    Energy services play a growing role in the control of energy consumption and the improvement of energy efficiency in non-residential buildings. This work consists in the application of a simulation-based approach dedicated to whole-building energy...

  17. Impact of Nighttime Shut Down on the Prediction Accuracy of Monthly Regression Models for Energy Consumption in Commercial Buildings 

    E-Print Network [OSTI]

    Wang, J.; Claridge, D. E.

    1998-01-01

    Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available...

  18. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    representa- tions of building data or statistical indices.c information such as building data, occupancy schedules,of complex measured building data into relatively few input

  19. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01

    Calibrated building energy simulation and its application inparameters in energy simulation of office buildings. EnergyApplication in Building Energy Simulation and Calibration

  20. Computational evaluation of two reactor benchmark problems 

    E-Print Network [OSTI]

    Cowan, James Anthony

    1998-01-01

    A neutronic evaluation of two reactor benchmark problems was performed. The benchmark problems describe typical PWR uranium and plutonium (mixed oxide) fueled lattices. WIMSd4m, a neutron transport lattice code, was used to evaluate multigroup...

  1. A Modelica-based Model Library for Building Energy and Control Systems

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07

    This paper describes an open-source library with component models for building energy and control systems that is based on Modelica, an equation-based objectoriented language that is well positioned to become the standard for modeling of dynamic systems in various industrial sectors. The library is currently developed to support computational science and engineering for innovative building energy and control systems. Early applications will include controls design and analysis, rapid prototyping to support innovation of new building systems and the use of models during operation for controls, fault detection and diagnostics. This paper discusses the motivation for selecting an equation-based object-oriented language. It presents the architecture of the library and explains how base models can be used to rapidly implement new models. To demonstrate the capability of analyzing novel energy and control systems, the paper closes with an example where we compare the dynamic performance of a conventional hydronic heating system with thermostatic radiator valves to an innovative heating system. In the new system, instead of a centralized circulation pump, each of the 18 radiators has a pump whose speed is controlled using a room temperature feedback loop, and the temperature of the boiler is controlled based on the speed of the radiator pump. All flows are computed by solving for the pressure distribution in the piping network, and the controls include continuous and discrete time controls.

  2. Benchmarks for industrial energy efficiency

    SciTech Connect (OSTI)

    Amarnath, K.R. [Electric Power Research Inst., Palo Alto, CA (United States); Kumana, J.D. [Linnhoff March, Inc., Houston, TX (United States); Shah, J.V. [Electric Power Research Inst., Pittsburgh, PA (United States). Chemicals and Petroleum Center

    1996-12-31

    What are the standards for improving energy efficiency for industries such as petroleum refining, chemicals, and glass manufacture? How can different industries in emerging markets and developing accelerate the pace of improvements? This paper discusses several case studies and experiences relating to this subject emphasizing the use of energy efficiency benchmarks. Two important benchmarks are discussed. The first is based on a track record of outstanding performers in the related industry segment; the second benchmark is based on site specific factors. Using energy use reduction targets or benchmarks, projects have been implemented in Mexico, Poland, India, Venezuela, Brazil, China, Thailand, Malaysia, Republic of South Africa and Russia. Improvements identified through these projects include a variety of recommendations. The use of oxy-fuel and electric furnaces in the glass industry in Poland; reconfiguration of process heat recovery systems for refineries in China, Malaysia, and Russia; recycling and reuse of process wastewater in Republic of South Africa; cogeneration plant in Venezuela. The paper will discuss three case studies of efforts undertaken in emerging market countries to improve energy efficiency.

  3. Regression Benchmarking with Simple Middleware Benchmarks Lubomr Bulej1,2

    E-Print Network [OSTI]

    Regression Benchmarking with Simple Middleware Benchmarks Lubomír Bulej1,2 , Tomás Kalibera1 , Petr.tuma}@mff.cuni.cz Abstract The paper introduces the concept of regression benchmarking as a variant of regression testing fo- cused at detecting performance regressions. Applying the regression benchmarking in the area of middle

  4. Testing (Validating?) Cross Sections with ICSBEP Benchmarks

    SciTech Connect (OSTI)

    Kahler, Albert C. III

    2012-06-28

    We discuss how to use critical benchmarks from the International Handbook of Evaluated Criticality Safety Benchmark Experiments to determine the applicability of specific cross sections to the end-user's problem of interest. Particular attention is paid to making sure the selected suite of benchmarks includes the user's range of applicability (ROA).

  5. Model building with the non-supersymmetric heterotic SO(16)xSO(16) string

    E-Print Network [OSTI]

    Stefan Groot Nibbelink

    2015-02-12

    In this talk we review recent investigations of the non-supersymmetric heterotic SO(16)xSO(16) string on orbifolds and smooth Calabi-Yaus. Using such supersymmetry preserving backgrounds allows one to re-employ commonly known model building techniques. We will argue that tachyons do not appear on smooth Calabi-Yaus to leading order in alpha' and g_s. Twisted tachyons may arise on singular orbifolds, where some of these approximations break down. However, they get lifted in full blow-up. Finally, we show that model searches is viable by identifying over 12,000 of SM-like models on various orbifold geometries.

  6. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

    G. F. Bertsch; W. Loveland; W. Nazarewicz; P. Talou

    2015-02-20

    We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. The purpose is to provide common data to facilitate the comparison of different fission theories and models. The proposed observables are chosen from fission barriers, spontaneous fission lifetimes, fission yield characteristics, and fission isomer excitation energies.

  7. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

    Bertsch, G F; Nazarewicz, W; Talou, P

    2015-01-01

    We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. The purpose is to provide common data to facilitate the comparison of different fission theories and models. The proposed observables are chosen from fission barriers, spontaneous fission lifetimes, fission yield characteristics, and fission isomer excitation energies.

  8. Use of whole building simulation in on-line performance assessment: Modeling and implementation issues

    E-Print Network [OSTI]

    Haves, Philip; Salsbury, Tim; Claridge, David; Liu, Mingsheng

    2001-01-01

    Study on Energy Efficiency in Buildings, American CouncilSummer Study on Energy Efficiency in Buildings, Volume 3,

  9. Benchmark Evaluation of Start-Up and Zero-Power Measurements at the High-Temperature Engineering Test Reactor

    SciTech Connect (OSTI)

    Bess, John D.; Fujimoto, Nozomu

    2014-10-09

    Benchmark models were developed to evaluate six cold-critical and two warm-critical, zero-power measurements of the HTTR. Additional measurements of a fully-loaded subcritical configuration, core excess reactivity, shutdown margins, six isothermal temperature coefficients, and axial reaction-rate distributions were also evaluated as acceptable benchmark experiments. Insufficient information is publicly available to develop finely-detailed models of the HTTR as much of the design information is still proprietary. However, the uncertainties in the benchmark models are judged to be of sufficient magnitude to encompass any biases and bias uncertainties incurred through the simplification process used to develop the benchmark models. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the impurity content of the various graphite blocks that comprise the HTTR. Monte Carlo calculations of keff are between approximately 0.9 % and 2.7 % greater than the benchmark values. Reevaluation of the HTTR models as additional information becomes available could improve the quality of this benchmark and possibly reduce the computational biases. High-quality characterization of graphite impurities would significantly improve the quality of the HTTR benchmark assessment. Simulation of the other reactor physics measurements are in good agreement with the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.

  10. Benchmark Evaluation of Start-Up and Zero-Power Measurements at the High-Temperature Engineering Test Reactor

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bess, John D.; Fujimoto, Nozomu

    2014-10-09

    Benchmark models were developed to evaluate six cold-critical and two warm-critical, zero-power measurements of the HTTR. Additional measurements of a fully-loaded subcritical configuration, core excess reactivity, shutdown margins, six isothermal temperature coefficients, and axial reaction-rate distributions were also evaluated as acceptable benchmark experiments. Insufficient information is publicly available to develop finely-detailed models of the HTTR as much of the design information is still proprietary. However, the uncertainties in the benchmark models are judged to be of sufficient magnitude to encompass any biases and bias uncertainties incurred through the simplification process used to develop the benchmark models. Dominant uncertainties in themore »experimental keff for all core configurations come from uncertainties in the impurity content of the various graphite blocks that comprise the HTTR. Monte Carlo calculations of keff are between approximately 0.9 % and 2.7 % greater than the benchmark values. Reevaluation of the HTTR models as additional information becomes available could improve the quality of this benchmark and possibly reduce the computational biases. High-quality characterization of graphite impurities would significantly improve the quality of the HTTR benchmark assessment. Simulation of the other reactor physics measurements are in good agreement with the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.« less

  11. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Business Models Guide, October 27, 2011.

  12. Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph-Cut Results Conclusion Automatic 3D Object Segmentation in Multiple

    E-Print Network [OSTI]

    Esteban, Carlos Hernández

    Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph Segmentation in Multiple Views using Volumetric Graph-Cuts #12;Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph-Cut Results Conclusion Motivation Neill Campbell, George

  13. Study of Possible Applications of Currently Available Building Information Modeling Tools for the Analysis of Initial Costs and Energy Costs for Performing Life Cycle Cost Analysis 

    E-Print Network [OSTI]

    Mukherji, Payal Tapandev

    2011-02-22

    forms the core, it has become necessary to use computer building models for examining these changes. The building modeling softwares are enumerated. The case studies have highlighted that the evaluation of the alternatives are primarily to achieve energy...

  14. Quantum control and the challenge of non-Hermitian model-building

    E-Print Network [OSTI]

    Miloslav Znojil

    2015-04-13

    In the context of traditional quantum-control considerations it is conjectured that one of the promising new strategies of the constructive model building could be sought in a non-stationary upgrade of the formalism of PT-symmetric quantum mechanics. This upgrade is briefly reviewed and characterized by the simultaneous participation of a triplet of Hilbert spaces in the representation of a single quantum system.

  15. Building accurate initial models using gain functions for waveform inversion in the Laplace domain

    E-Print Network [OSTI]

    Wansoo Ha; Changsoo Shin

    2014-08-20

    We suggest an initial model building technique using time gain functions in the Laplace domain. Applying the gain expressed as a power of time is equivalent to taking the partial derivative of the Laplace-domain wavefield with respect to a damping constant. We construct an objective function, which minimizes the logarithmic differences between the gained field data and the partial derivative of the modeled data with respect to the damping constant. We calculate the modeled wavefield, the partial derivative wavefield, and the gradient direction in the Laplace domain using the analytic Green's function starting from a constant velocity model. This is an efficient method to generate an accurate initial model for a following Laplace-domain inversion. Numerical examples using two marine field datasets confirm that a starting model updated once from a scratch using the gradient direction calculated with the proposed method can be successfully used for a subsequent Laplace-domain inversion.

  16. Data Collection Handbook to Support Modeling Impacts of Radioactive Material in Soil and Building Structures

    SciTech Connect (OSTI)

    Yu, Charley; Kamboj, Sunita; Wang, Cheng; Cheng, Jing-Jy

    2015-09-01

    This handbook is an update of the 1993 version of the Data Collection Handbook and the Radionuclide Transfer Factors Report to support modeling the impact of radioactive material in soil. Many new parameters have been added to the RESRAD Family of Codes, and new measurement methodologies are available. A detailed review of available parameter databases was conducted in preparation of this new handbook. This handbook is a companion document to the user manuals when using the RESRAD (onsite) and RESRAD-OFFSITE code. It can also be used for RESRAD-BUILD code because some of the building-related parameters are included in this handbook. The RESRAD (onsite) has been developed for implementing U.S. Department of Energy Residual Radioactive Material Guidelines. Hydrogeological, meteorological, geochemical, geometrical (size, area, depth), crops and livestock, human intake, source characteristic, and building characteristic parameters are used in the RESRAD (onsite) code. The RESRAD-OFFSITE code is an extension of the RESRAD (onsite) code and can also model the transport of radionuclides to locations outside the footprint of the primary contamination. This handbook discusses parameter definitions, typical ranges, variations, and measurement methodologies. It also provides references for sources of additional information. Although this handbook was developed primarily to support the application of RESRAD Family of Codes, the discussions and values are valid for use of other pathway analysis models and codes.

  17. IDAHO NATIONAL LABORATORY PROGRAM TO OBTAIN BENCHMARK DATA ON THE FLOW PHENOMENA IN A SCALED MODEL OF A PRISMATIC GAS-COOLED REACTOR LOWER PLENUM FOR THE VALIDATION OF CFD CODES

    SciTech Connect (OSTI)

    Hugh M. McIlroy Jr.; Donald M. McEligot; Robert J. Pink

    2008-09-01

    The experimental program that is being conducted at the Matched Index-of-Refraction (MIR) Flow Facility at Idaho National Laboratory (INL) to obtain benchmark data on measurements of flow phenomena in a scaled model of a typical prismatic gas-cooled (GCR) reactor lower plenum using 3-D Particle Image Velocimetry (PIV) is presented. A detailed description of the model, scaling, the experimental facility, 3-D PIV system, measurement uncertainties and analysis, experimental procedures and samples of the data sets that have been obtained are included. Samples of the data set that are presented include mean-velocity-field and turbulence data in an approximately 1:7 scale model of a region of the lower plenum of a typical prismatic GCR design. This experiment has been selected as the first Standard Problem endorsed by the Generation IV International Forum. Results concentrate on the region of the lower plenum near its far reflector wall (away from the outlet duct). Inlet jet Reynolds numbers (based on the jet diameter and the time-mean average flow rate) are approximately 4,300 and 12,400. The measurements reveal undeveloped, non-uniform flow in the inlet jets and complicated flow patterns in the model lower plenum. Data include three-dimensional vector plots, data displays along the coordinate planes (slices) and charts that describe the component flows at specific regions in the model. Information on inlet flow is also presented.

  18. Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants

    E-Print Network [OSTI]

    Lehrer, David; Vasudev, Janani

    2011-01-01

    BIBLIOGRAPHY —“Breaking the Net Zero Energy Barrier: The ‘31carbon neutrality and net-zero energy for all new commercialBenchmarking for Net-Zero Energy Buildings. ” 12 Included in

  19. A model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data.

  20. Model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data. 38 references, 10 figures, 1 table.

  1. Model-Building with Interpolated Temporal Data R I (Bob) McKay*, Hoang Tuan Hao*, Naoki Mori *, Nguyen Xuan Hoai*,

    E-Print Network [OSTI]

    Fernandez, Thomas

    Page 1 Model-Building with Interpolated Temporal Data R I (Bob) McKay*, Hoang Tuan Hao*, Naoki Mori, and build a model from the interpolated data. However this process introduces an unquantified risk is fraught with danger if the interpolated data is then used for model-building. In this circumstance, we

  2. Building Energy Information Systems: User Case Studies

    SciTech Connect (OSTI)

    Granderson, Jessica; Piette, Mary Ann; Ghatikar, Girish

    2010-03-22

    Measured energy performance data are essential to national efforts to improve building efficiency, as evidenced in recent benchmarking mandates, and in a growing body of work that indicates the value of permanent monitoring and energy information feedback. This paper presents case studies of energy information systems (EIS) at four enterprises and university campuses, focusing on the attained energy savings, and successes and challenges in technology use and integration. EIS are broadly defined as performance monitoring software, data acquisition hardware, and communication systems to store, analyze and display building energy information. Case investigations showed that the most common energy savings and instances of waste concerned scheduling errors, measurement and verification, and inefficient operations. Data quality is critical to effective EIS use, and is most challenging at the subsystem or component level, and with non-electric energy sources. Sophisticated prediction algorithms may not be well understood but can be applied quite effectively, and sites with custom benchmark models or metrics are more likely to perform analyses external to the EIS. Finally, resources and staffing were identified as a universal challenge, indicating a need to identify additional models of EIS use that extend beyond exclusive in-house use, to analysis services.

  3. INTEGRAL BENCHMARKS AVAILABLE THROUGH THE INTERNATIONAL REACTOR PHYSICS EXPERIMENT EVALUATION PROJECT AND THE INTERNATIONAL CRITICALITY SAFETY BENCHMARK EVALUATION PROJECT

    SciTech Connect (OSTI)

    J. Blair Briggs; Lori Scott; Enrico Sartori; Yolanda Rugama

    2008-09-01

    Interest in high-quality integral benchmark data is increasing as efforts to quantify and reduce calculational uncertainties accelerate to meet the demands of next generation reactor and advanced fuel cycle concepts. The International Reactor Physics Experiment Evaluation Project (IRPhEP) and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) continue to expand their efforts and broaden their scope to identify, evaluate, and provide integral benchmark data for method and data validation. Benchmark model specifications provided by these two projects are used heavily by the international reactor physics, nuclear data, and criticality safety communities. Thus far, 14 countries have contributed to the IRPhEP, and 20 have contributed to the ICSBEP. The status of the IRPhEP and ICSBEP is discussed in this paper, and the future of the two projects is outlined and discussed. Selected benchmarks that have been added to the IRPhEP and ICSBEP handbooks since PHYSOR’06 are highlighted, and the future of the two projects is discussed.

  4. How To Build Enterprise Data Models To Achieve Compliance To Standards Or Regulatory Requirements (and share data).

    E-Print Network [OSTI]

    Fox, Mark S.

    How To Build Enterprise Data Models To Achieve Compliance To Standards Or Regulatory Requirements models at their core. In an ontology-based enterprise model, business rules and definitions-Oxley, inference constitutes a model-based proof of compliance. In this paper, we detail the development

  5. Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint

    SciTech Connect (OSTI)

    Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

    2011-03-01

    The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

  6. The 1,000 dollar home : a scalable business model to build disaster relief dwellings and upgrade slums

    E-Print Network [OSTI]

    Cańzio, Luis (Del Cańzio)

    2006-01-01

    This thesis proposes a new model for the private markets to build disaster relief dwellings or to upgrade degraded neighborhoods of very low income communities. The study offers a way to empower the dwellers of very poor ...

  7. Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models: structural learning, and

    E-Print Network [OSTI]

    Shadmehr, Reza

    Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models as a function of time (passive dynamics), and as a function of the input (active dynamics). What's more

  8. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    Physical Modeling with Modelica. Kluwer Academic Publisher,Using SPARK as a solver for modelica. In Proc. of SimBuild,Proceedings of the 2nd Modelica conference, pages 55–1 – 55–

  9. A Methodology to Develop Monthly Energy Use Models From Utility Billing Data For Seasonally Scheduled Buildings: Application to Schools 

    E-Print Network [OSTI]

    Wang, W.

    1998-01-01

    TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 1998 Major Subject: Mechanical Engineering A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted...

  10. Comparison of simplified models of urban climate for improved prediction of building energy use in cities

    E-Print Network [OSTI]

    Street, Michael A. (Michael Anthony)

    2013-01-01

    Thermal simulation of buildings is a requisite tool in the design of low-energy buildings, yet, definition of weather boundary conditions during simulation of urban buildings suffers from a lack of data that accounts for ...

  11. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    for viewing building energy data: Part II. J Sol Energy Engfor viewing building energy data: Part I. J Sol Energy Engindices for building energy data [M.S. thesis]. Texas A&M

  12. Residential building energy analysis : development and uncertainty assessment of a simplified model

    E-Print Network [OSTI]

    Spindler, Henry C. (Henry Carlton), 1970-

    1998-01-01

    Effective design of energy-efficient buildings requires attention to energy issues during the preliminary stages of design. To aid in the early consideration of a building's future energy usage, a simplified building energy ...

  13. Occupancy Modeling and Prediction for Building Energy Varick L. Erickson, University of California, Merced

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    for Energy-Efficiency in Building (BuildSys 2010). Permission to make digital or hard copies of part or all

  14. Modeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

    Litz. Simulation of thermal building behaviour in modelica.of the 2nd International Modelica Conference, volume 154.building behaviour using Modelica. Mathematical and Computer

  15. Validation and Application of the Room Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,Transfer in Rooms in the Modelica "Buildings" Library," in

  16. Model Predictive Control of Regulation Services from Commercial Buildings to the Smart Grid

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

    Services from Commercial Buildings to the Smart Grid Mehdicommercial building hvac fan as ancillary service for smartbuildings flexibility can be utilized for frequency regulation provision in the smart

  17. Data gathering to build and validate small-scale social models for simulation. Two ways: strict control and stake-holders involvement

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Data gathering to build and validate small-scale social models for simulation. Two ways: strict. Nowadays, it has become a norm to assess results with actually comparable data and to build the hypothesis for the right use of empirical data in the building of models (Moss and Edmonds, 2005). In this paper, we focus

  18. This course teaches essential methods, algorithms, and data models for building geospatial software. Students are introduced to raster and

    E-Print Network [OSTI]

    Jenny, Bernhard

    This course teaches essential methods, algorithms, and data models for building geospatial software. Students are introduced to raster and vector data models and algorithms for the manipulation of this course, algorithms for modeling, analyzing and visualizing geographic informa- tion are discussed

  19. Comparison of the prediction accuracy of daily and monthly regression models for energy consumption in commercial buildings 

    E-Print Network [OSTI]

    Wang, Jinrong

    1996-01-01

    -retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual...

  20. A Parallel Java Grande Benchmark Suite L. A. Smith and J. M. Bull

    E-Print Network [OSTI]

    Bull, Mark

    A Parallel Java Grande Benchmark Suite L. A. Smith and J. M. Bull EPCC, The King's Buildings Republic. email: xobdrzal@fi.muni.cz Abstract Increasing interest is being shown in the use of Java for large scale or Grande applications. This new use of Java places specific demands on the Java execution

  1. Monitoring and Benchmarking for Energy Information Systems |...

    Broader source: Energy.gov (indexed) [DOE]

    systems for commercialhigh-rise residential units. Advanced benchmarking and energy information systems (EIS) can enable up to 20% energy savings. However, there is a lack of...

  2. Method and system for benchmarking computers

    DOE Patents [OSTI]

    Gustafson, John L. (Ames, IA)

    1993-09-14

    A testing system and method for benchmarking computer systems. The system includes a store containing a scalable set of tasks to be performed to produce a solution in ever-increasing degrees of resolution as a larger number of the tasks are performed. A timing and control module allots to each computer a fixed benchmarking interval in which to perform the stored tasks. Means are provided for determining, after completion of the benchmarking interval, the degree of progress through the scalable set of tasks and for producing a benchmarking rating relating to the degree of progress for each computer.

  3. Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01

    Variable Refrigerant Flow (VRF) heat pumps are increasingly used in commercial buildings in the United States. Monitored energy use of field installations have shown, in some cases, savings exceeding 30% compared to conventional heating, ventilating, and air-conditioning (HVAC) systems. A simulation study was conducted to identify the installation or operational characteristics that lead to energy savings for VRF systems. The study used the Department of Energy EnergyPlus? building simulation software and four reference building models. Computer simulations were performed in eight U.S. climate zones. The baseline reference HVAC system incorporated packaged single-zone direct-expansion cooling with gas heating (PSZ-AC) or variable-air-volume systems (VAV with reheat). An alternate baseline HVAC system using a heat pump (PSZ-HP) was included for some buildings to directly compare gas and electric heating results. These baseline systems were compared to a VRF heat pump model to identify differences in energy use. VRF systems combine multiple indoor units with one or more outdoor unit(s). These systems move refrigerant between the outdoor and indoor units which eliminates the need for duct work in most cases. Since many applications install duct work in unconditioned spaces, this leads to installation differences between VRF systems and conventional HVAC systems. To characterize installation differences, a duct heat gain model was included to identify the energy impacts of installing ducts in unconditioned spaces. The configuration of variable refrigerant flow heat pumps will ultimately eliminate or significantly reduce energy use due to duct heat transfer. Fan energy is also studied to identify savings associated with non-ducted VRF terminal units. VRF systems incorporate a variable-speed compressor which may lead to operational differences compared to single-speed compression systems. To characterize operational differences, the computer model performance curves used to simulate cooling operation are also evaluated. The information in this paper is intended to provide a relative difference in system energy use and compare various installation practices that can impact performance. Comparative results of VRF versus conventional HVAC systems include energy use differences due to duct location, differences in fan energy when ducts are eliminated, and differences associated with electric versus fossil fuel type heating systems.

  4. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program 

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01

    , Proceedings of the ACEEE 1988 Summer Study on Energy Efficiency in Buildings, 10, 14-26. Balcomb, J.D., Burch, J.D., Subbarao, K., 1993. Short-term energy monitoring of residences, ASHRAE Transactions, 99 (2): 935-944. Balcomb, J.D., Burch, J.D...-259. Sorooshian, S., Gupta, V.K., 1983. Automatic calibration of conceptual rainfall-runoff models - the question of parameter observability and uniqueness, Water Resources Res., 19 (1): 260- 268. Subbarao, K., Burch, J., Hancock, C.E., Lekov, A., Balcomb, J.D...

  5. Simulation of the Post-Retrofit Thermal Energy Use for the Perry-Castaneda Library Building with the Use of Simplified System Models 

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing parameters such as ambient temperature, humidity, building...

  6. Building America Best Practices Series Volume 15: 40% Whole-House Energy Savings in the Hot-Humid Climate

    SciTech Connect (OSTI)

    Baechler, Michael C.; Gilbride, Theresa L.; Hefty, Marye G.; Cole, Pamala C.; Adams, Karen; Noonan, Christine F.

    2011-09-01

    This best practices guide is the 15th in a series of guides for builders produced by PNNL for the U.S. Department of Energy’s Building America program. This guide book is a resource to help builders design and construct homes that are among the most energy-efficient available, while addressing issues such as building durability, indoor air quality, and occupant health, safety, and comfort. With the measures described in this guide, builders in the hot-humid climate can build homes that have whole-house energy savings of 40% over the Building America benchmark with no added overall costs for consumers. The best practices described in this document are based on the results of research and demonstration projects conducted by Building America’s research teams. Building America brings together the nation’s leading building scientists with over 300 production builders to develop, test, and apply innovative, energy-efficient construction practices. Building America builders have found they can build homes that meet these aggressive energy-efficiency goals at no net increased costs to the homeowners. Currently, Building America homes achieve energy savings of 40% greater than the Building America benchmark home (a home built to mid-1990s building practices roughly equivalent to the 1993 Model Energy Code). The recommendations in this document meet or exceed the requirements of the 2009 IECC and 2009 IRC and those requirements are highlighted in the text. Requirements of the 2012 IECC and 2012 IRC are also noted in text and tables throughout the guide. This document will be distributed via the DOE Building America website: www.buildingamerica.gov.

  7. Building America Best Practices Series Volume 16: 40% Whole-House Energy Savings in the Mixed-Humid Climate

    SciTech Connect (OSTI)

    Baechler, Michael C.; Gilbride, Theresa L.; Hefty, Marye G.; Cole, Pamala C.; Adams, Karen; Butner, Ryan S.; Ortiz, Sallie J.

    2011-09-01

    This best practices guide is the 16th in a series of guides for builders produced by PNNL for the U.S. Department of Energy’s Building America program. This guide book is a resource to help builders design and construct homes that are among the most energy-efficient available, while addressing issues such as building durability, indoor air quality, and occupant health, safety, and comfort. With the measures described in this guide, builders in the mixed-humid climate can build homes that have whole-house energy savings of 40% over the Building America benchmark with no added overall costs for consumers. The best practices described in this document are based on the results of research and demonstration projects conducted by Building America’s research teams. Building America brings together the nation’s leading building scientists with over 300 production builders to develop, test, and apply innovative, energy-efficient construction practices. Building America builders have found they can build homes that meet these aggressive energy-efficiency goals at no net increased costs to the homeowners. Currently, Building America homes achieve energy savings of 40% greater than the Building America benchmark home (a home built to mid-1990s building practices roughly equivalent to the 1993 Model Energy Code). The recommendations in this document meet or exceed the requirements of the 2009 IECC and 2009 IRC and those requirements are highlighted in the text. Requirements of the 2012 IECC and 2012 IRC are also noted in text and tables throughout the guide. This document will be distributed via the DOE Building America website: www.buildingamerica.gov.

  8. A Benchmark Study on Casting Residual Stress

    SciTech Connect (OSTI)

    Johnson, Eric M. [John Deere -- Moline Tech Center; Watkins, Thomas R [ORNL; Schmidlin, Joshua E [ORNL; Dutler, S. A. [MAGMA Foundry Technologies, Inc.

    2012-01-01

    Stringent regulatory requirements, such as Tier IV norms, have pushed the cast iron for automotive applications to its limit. The castings need to be designed with closer tolerances by incorporating hitherto unknowns, such as residual stresses arising due to thermal gradients, phase and microstructural changes during solidification phenomenon. Residual stresses were earlier neglected in the casting designs by incorporating large factors of safety. Experimental measurement of residual stress in a casting through neutron or X-ray diffraction, sectioning or hole drilling, magnetic, electric or photoelastic measurements is very difficult and time consuming exercise. A detailed multi-physics model, incorporating thermo-mechanical and phase transformation phenomenon, provides an attractive alternative to assess the residual stresses generated during casting. However, before relying on the simulation methodology, it is important to rigorously validate the prediction capability by comparing it to experimental measurements. In the present work, a benchmark study was undertaken for casting residual stress measurements through neutron diffraction, which was subsequently used to validate the accuracy of simulation prediction. The stress lattice specimen geometry was designed such that subsequent castings would generate adequate residual stresses during solidification and cooling, without any cracks. The residual stresses in the cast specimen were measured using neutron diffraction. Considering the difficulty in accessing the neutron diffraction facility, these measurements can be considered as benchmark for casting simulation validations. Simulations were performed using the identical specimen geometry and casting conditions for predictions of residual stresses. The simulation predictions were found to agree well with the experimentally measured residual stresses. The experimentally validated model can be subsequently used to predict residual stresses in different cast components. This enables incorporation of the residual stresses at the design phase along with external loads for accurate predictions of fatigue and fracture performance of the cast components.

  9. Simulation-based assessment of the energy savings benefits of integrated control in office buildings

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01

    Consumption Survey. EnergyPlus (2008). U.S. Department ofin office buildings. A n EnergyPlus medium office benchmarkSimulation cases were run in EnergyPlus V3.0.0 for building

  10. Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

    SciTech Connect (OSTI)

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  11. Action-Oriented Benchmarking: Using the CEUS Database to Benchmark Commercial Buildings in California

    E-Print Network [OSTI]

    Mathew, Paul

    2008-01-01

    and two lighting features: lamp power density and lightingbetween lighting energy intensity and lamp power density forlighting energy intensity is positively correlated with lamp power density.

  12. Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager

    Broader source: Energy.gov [DOE]

    Before we jump into today’s presentations I would like to take a few moments to describe the DOE Technical Assistance Program (TAP) a little further. TAP is managed by a team in DOE’s Weatherization and Intergovernmental Program - Office of Energy Efficiency and Renewable Energy.

  13. Modeling to predict positive pressurization required to control mold growth from infiltration in a building in College Station, Texas 

    E-Print Network [OSTI]

    Claridge,D.; Chen,W.J

    2014-01-01

    -IC-14-09-27a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 Outline • Prevention of Mold growth • Modeling Building Infiltration • Results, Discussion and Conclusions ESL-IC-14...-09-27a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 Prevention of Mold Growth • Battle of dry time and wet time 0 24 Bathroom Door Closed Bathroom Door Open Exhaust Fan On Daily...

  14. Review of Pre- and Post-1980 Buildings in CBECS - HVAC Equipment

    SciTech Connect (OSTI)

    Winiarski, David W.; Jiang, Wei; Halverson, Mark A.

    2006-12-01

    PNNL was tasked by DOE to look at HVAC systems and equipment for Benchmark buildings based on 2003 CBECS data. This white paper summarizes the results of PNNL’s analysis of 2003 CBECS data and provides PNNL’s recommendations for HVAC systems and equipment for use in the Benchmark buildings.

  15. Preliminary Benchmarking Efforts and MCNP Simulation Results for Homeland Security

    SciTech Connect (OSTI)

    Robert Hayes

    2008-04-18

    It is shown in this work that basic measurements made from well defined source detector configurations can be readily converted in to benchmark quality results by which Monte Carlo N-Particle (MCNP) input stacks can be validated. Specifically, a recent measurement made in support of national security at the Nevada Test Site (NTS) is described with sufficient detail to be submitted to the American Nuclear Society’s (ANS) Joint Benchmark Committee (JBC) for consideration as a radiation measurement benchmark. From this very basic measurement, MCNP input stacks are generated and validated both in predicted signal amplitude and spectral shape. Not modeled at this time are those perturbations from the more recent pulse height light (PHL) tally feature, although what spectral deviations are seen can be largely attributed to not including this small correction. The value of this work is as a proof-of-concept demonstration that with well documented historical testing can be converted into formal radiation measurement benchmarks. This effort would support virtual testing of algorithms and new detector configurations.

  16. A comparison of global optimization algorithms with standard benchmark functions and real-world applications using Energy Plus

    SciTech Connect (OSTI)

    Kamph, Jerome Henri; Robinson, Darren; Wetter, Michael

    2009-09-01

    There is an increasing interest in the use of computer algorithms to identify combinations of parameters which optimise the energy performance of buildings. For such problems, the objective function can be multi-modal and needs to be approximated numerically using building energy simulation programs. As these programs contain iterative solution algorithms, they introduce discontinuities in the numerical approximation to the objective function. Metaheuristics often work well for such problems, but their convergence to a global optimum cannot be established formally. Moreover, different algorithms tend to be suited to particular classes of optimization problems. To shed light on this issue we compared the performance of two metaheuristics, the hybrid CMA-ES/HDE and the hybrid PSO/HJ, in minimizing standard benchmark functions and real-world building energy optimization problems of varying complexity. From this we find that the CMA-ES/HDE performs well on more complex objective functions, but that the PSO/HJ more consistently identifies the global minimum for simpler objective functions. Both identified similar values in the objective functions arising from energy simulations, but with different combinations of model parameters. This may suggest that the objective function is multi-modal. The algorithms also correctly identified some non-intuitive parameter combinations that were caused by a simplified control sequence of the building energy system that does not represent actual practice, further reinforcing their utility.

  17. Better Buildings Neighborhood Program Business Models Guide: Contractor/Retailer Business Models

    Office of Energy Efficiency and Renewable Energy (EERE)

    Business models information focused on remodelers, HVAC (heating, ventilation, and air conditioning) contractors, home performance contractors, or retailers.

  18. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Business Model

    Broader source: Energy.gov [DOE]

    The home performance contractor model walks through the “one-stop-shop” model for home energy upgrades. It illustrates both the opportunities and barriers for starting as a home performance contractor company from the beginning, rather than expanding from an existing model, such as a remodeler.

  19. The Elusive Present: Hidden Past and Future Dependency and Why We Build Models

    E-Print Network [OSTI]

    Pooneh M. Ara; Ryan G. James; James P. Crutchfield

    2015-07-02

    Modeling a temporal process as if it is Markovian assumes the present encodes all of the process's history. When this occurs, the present captures all of the dependency between past and future. We recently showed that if one randomly samples in the space of structured processes, this is almost never the case. So, how does the Markov failure come about? That is, how do individual measurements fail to encode the past? And, how many are needed to capture dependencies between the past and future? Here, we investigate how much information can be shared between the past and future, but not be reflected in the present. We quantify this elusive information, give explicit calculational methods, and draw out the consequences. The most important of which is that when the present hides past-future dependency we must move beyond sequence-based statistics and build state-based models.

  20. Communication Characteristics in the NAS Parallel Benchmarks

    E-Print Network [OSTI]

    Communication Characteristics in the NAS Parallel Benchmarks Ahmad Faraj Xin Yuan Department-- In this paper, we investigate the communication characteris- tics of the Message Passing Interface (MPI) implementation of the NAS parallel benchmarks and study the effectiveness of com- piled communication for MPI

  1. COMPUTER POWER CONSUMPTION BENCHMARKING FOR GREEN COMPUTING

    E-Print Network [OSTI]

    Way, Thomas

    COMPUTER POWER CONSUMPTION BENCHMARKING FOR GREEN COMPUTING A Thesis Presented to the Faculty Computing Sciences Full Title of Thesis Computer Power Consumption Benchmarking for Green Computing Dr would like to thank my friend and colleague Christopher Continanza for our past collaborations on power

  2. Benchmarking and Evaluating Recongurable Architectures Targeting

    E-Print Network [OSTI]

    Luk, Wayne

    benchmarking suite that evaluates the power consumption of reconfigurable technology for applications targeting the mobile computing domain. This benchmark suite includes seven designs; one design targets fine-grained FPGA fabrics allowing for quick state- of-the-art evaluation, and six designs are specified at a high

  3. Benchmark the Fuel Cost of Steam Generation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Benchmark the Fuel Cost of Steam Generation Benchmark the Fuel Cost of Steam Generation This tip sheet on benchmarking the fuel cost of steam provides how-to advice for improving...

  4. Plant Level Energy Performance Benchmarking 

    E-Print Network [OSTI]

    Hicks, T. W.

    2001-01-01

    Since the early 1990's, the U.S. Environmental Protection Agency (EPA) has worked with U.S. corporations to reduce their energy requirements in buildings and office space through voluntary programs such as ENERGY STAR®. Corporate partners within...

  5. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview 

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  6. Terry Sharp, P.E. Building Performance Benchmarking

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    performance ratings identify where to focus energy and cost reduction efforts · Advanced energy data Should Care · Energy Star tools enable you to take Strategic Energy Management to a new level · Energy available from EPA's Energy Star Program · Energy data normalization · Related work initiated to support

  7. Terry Sharp, P.E. Building Performance Benchmarking

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    -26, 2007 EPA Energy Star Program and Energy Data Normalization Oak Ridge National Laboratory #12;Why You performance ratings identify where to focus energy and cost reduction efforts · Advanced energy data available from EPA's Energy Star Program · Energy data normalization · Related work initiated to support

  8. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01

    Energy Efficiency,” ASHRAE Journal, Vol.50, No.4, April 2008. American Society of Heating Refrigerating and Air conditioning

  9. Learning from Buildings: Technologies for Measuring, Benchmarking, and Improving Performance

    E-Print Network [OSTI]

    Arens, Edward; Brager, Gail; Goins, John; Lehrer, David

    2011-01-01

    Comfort Zone, now part of ANSI/ASHRAE Standard 55 (2004),make them happen. REFERENCES ANSI/ASHRAE Standard 55-2004.Air- Conditioning Engineers. ANSI/ASHRAE Standard 55-2010.

  10. Federal Building Energy Use Benchmarking Guidance, August 2014 Update |

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n cEnergyNaturaldefinesMay 4,of EnergyFaultNA NA NADepartment of

  11. DOE Resources Help Measure Building Energy Benchmarking Policy & Program

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalThe DepartmentEnergy TransfersViolatingDepartment

  12. Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations

    E-Print Network [OSTI]

    2013-01-01

    and benchmarks in Earth system models sitivity of the Amazonand benchmarks in Earth system models Thornton, P. E. ,simulations from CMIP5 Earth system models and comparison

  13. DOE Commercial Reference Buildings Summary of Changes Between...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Commercial Building Benchmarks (New Construction): Summary of Changes from v1.03.0 to v1.13.1, May 5, 2009 Tax Deduction Qualified Software: EnergyPlus version 5.0.0.031...

  14. Energy Efficiency Evaluation and Planning for Existing Buildings

    Broader source: Energy.gov [DOE]

    For meeting Federal sustainability requirements, agencies can use evaluation methods—such as benchmarking and energy audits—and planning to make their existing buildings energy efficient. To comply...

  15. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    improve building energy simulation in  an  urban context, 38] J.A.  Clarke, Energy Simulation in Building Design, J.  Neymark, Building Energy Simulation Test (BESTEST) and 

  16. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    An experimental study, Energy and Buildings 43 (2011) 573?and  nthropogenic heat, Energy and  Buildings 25 (1997) 99?in  an  urban context, Energy and Buildings 43 (2011) 1549?

  17. Cleanroom energy benchmarking in high-tech and biotech industries

    E-Print Network [OSTI]

    Tschudi, William; Benschine, Kathleen; Fok, Stephen; Rumsey, Peter

    2001-01-01

    Benchmarking In High-Tech and Biotech Industries WilliamBenchmarking In High- Tech and Biotech Industries Williamindustries (electronics and biotech) were selected. The

  18. Energy Benchmarking, Rating, and Disclosure for State Governments

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how energy use data access can help state governments lead by example through benchmarking and disclosing results and implement benchmarking policies for the private sector.

  19. POLICY FLASH 2014-15 Determination of Benchmark Compensation...

    Energy Savers [EERE]

    of Benchmark Compensation Amount for Certain Executives and Employees (Update) POLICY FLASH 2014-15 Determination of Benchmark Compensation Amount for Certain Executives...

  20. POLICY FLASH 2014-15 Determination of Benchmark Compensation...

    Energy Savers [EERE]

    5 Determination of Benchmark Compensation Amount for Certain Executives and Employees POLICY FLASH 2014-15 Determination of Benchmark Compensation Amount for Certain Executives and...

  1. New York City Benchmarking and Transparency Policy Impact Evaluation...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    New York City Benchmarking and Transparency Policy Impact Evaluation Report New York City Benchmarking and Transparency Policy Impact Evaluation Report Prepared for the U.S....

  2. Benchmarking Outreach and Data Collection Techniques for External...

    Energy Savers [EERE]

    Benchmarking Outreach and Data Collection Techniques for External Portfolios Benchmarking Outreach and Data Collection Techniques for External Portfolios This presentation contains...

  3. Occupancy Modeling and Prediction for Building Energy Management VARICK L. ERICKSON, University of California, Merced

    E-Print Network [OSTI]

    Carreira-Perpińán, Miguel Á.

    control strategy," in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building (BuildSys 2010). This material is based upon work partially supported by the National Science

  4. Modeling VOC sorption of building materials and its impact on indoor air quality

    E-Print Network [OSTI]

    Zhang, Jinsong, 1975-

    2001-01-01

    Sorption of volatile organic compounds (VOCs) by building materials can have significant effect on the indoor VOC concentration levels and indoor air quality in buildings. The objective of this study was to investigate ...

  5. Comprehensive Evaluation Model of Building Energy Efficiency Based on Rough Sets Theory 

    E-Print Network [OSTI]

    Ding, L.; Ruan, X.; Huang, J.; Li, Y.

    2006-01-01

    In order to improve the objectivity of building energy efficiency evaluation, this paper uses a new method to evaluate building energy efficiency on the basis of rough sets theory. The contribution of different subentry evaluation indicators...

  6. Critical Simulation Based Evaluation of Thermally Activated Building Systems (TABS) Design Models

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01

    apps1.eere.energy.gov/buildings/energyplus/ [Internet] [building for CZ03 in EnergyPlus v7.0 under 2 different heatassistance in learning EnergyPlus, which could not have been

  7. MODEL PREDICTIVE CONTROL SCHEMES FOR THE MITIGATION OF NATU-RAL HAZARDS: THEORETICAL AND EXPERIMENTAL STUDIES

    E-Print Network [OSTI]

    Kareem, Ahsan

    the wind induced structural response. A shaking table and a small-scale structural model with an active reduction. Finally, a full-scale building for wind-excited benchmark problem was investigated to implement to enhance the performance of structures during earthquakes and strong winds. Efficient control schemes

  8. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    SciTech Connect (OSTI)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Ĺ. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  9. Modeling the Air Flow in the 3410 Building Filtered Exhaust Stack System

    SciTech Connect (OSTI)

    Recknagle, Kurtis P.; Barnett, J. M.; Suffield, Sarah R.

    2013-01-23

    Additional ventilation capacity has been designed for the 3410 Building filtered exhaust stack system. The updated system will increase the number of fans from two to three and will include ductwork to incorporate the new fan into the existing stack. Stack operations will involve running various two-fan combinations at any given time. The air monitoring system of the existing two-fan stack was previously found to be in compliance with the ANSI/HPS N13.1-1999 standard, however it is not known if the modified (three-fan) system will comply. Subsequently, a full-scale three-dimensional (3-D) computational fluid dynamics (CFD) model of the modified stack system has been created to examine the sampling location for compliance with the standard. The CFD modeling results show good agreement with testing data collected from the existing 3410 Building stack and suggest that velocity uniformity and flow angles will remain well within acceptance criteria when the third fan and associated ductwork is installed. This includes two-fan flow rates up to 31,840 cfm for any of the two-fan combinations. For simulation cases in which tracer gas and particles are introduced in the main duct, the model predicts that both particle and tracer gas coefficients of variance (COVs) may be larger than the acceptable 20 percent criterion of the ANSI/HPS N13.1-1999 standard for each of the two-fan, 31,840 cfm combinations. Simulations in which the tracers are introduced near the fans result in improved, though marginally acceptable, COV values for the tracers. Due to the remaining uncertainty that the stack will qualify with the addition of the third fan and high flow rates, a stationary air blender from Blender Products, Inc. is considered for inclusion in the stack system. A model of the air blender has been developed and incorporated into the CFD model. Simulation results from the CFD model that includes the air blender show striking improvements in tracer gas mixing and tracer particle dispersion. The results of these simulations suggest the air blender should be included in the stack system to ensure qualification of the stack.

  10. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Market

    Broader source: Energy.gov [DOE]

    Utility Program Administrator Market, as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

  11. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Business Model

    Broader source: Energy.gov [DOE]

    The following sections focus on the five core components of a utility’s business model, highlighting the critical elements of how utilities function within the market and how other organizations within the market can best collaborate with them.

  12. Building model generation project : generating a model of the MIT campus terrain

    E-Print Network [OSTI]

    Kulikov, Vitaliy Y. (Vitaliy Yurievich), 1981-

    2004-01-01

    Possession of a complete, automatically generated and frequently updated model of the MIT campus leads the way to many valuable applications, ranging from three-dimensional navigation to virtual tours. In this thesis, we ...

  13. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01

    J. 2006. “Evaluation of Building Energy Performance RatingEvaluation of Building Energy Performance Rating Protocols,”and managing building energy performance. While more dynamic

  14. How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite element model

    E-Print Network [OSTI]

    Liu, Mian

    How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite cause of the Andean mountain building. The present-day crustal shortening in the Andes is clear from the cyclic trench coupling leads to long-term mountain building, which has been concentrated in the Subandes

  15. Building Modeling and Simulation, Instructor Michael Bobker Spring 2014 General Syllabus (subject to refinement/updating)

    E-Print Network [OSTI]

    Wolberg, George

    and engineers. Curriculum will cover basic building systems, how they use energy, and how their performance can (Seminar and LAB) 3 Credits Instructor: Michael Bobker, Director, Building Performance Lab of the CUNY understanding of, and applied practice in building performance simulation. This emerging field utilizes

  16. From coronal observations to MHD simulations, the building blocks for 3D models of solar flares

    E-Print Network [OSTI]

    Janvier, Miho; Demoulin, Pascal

    2015-01-01

    Solar flares are energetic events taking place in the Sun's atmosphere, and their effects can greatly impact the environment of the surrounding planets. In particular, eruptive flares, as opposed to confined flares, launch coronal mass ejections into the interplanetary medium, and as such, are one of the main drivers of space weather. After briefly reviewing the main characteristics of solar flares, we summarize the processes that can account for the build up and release of energy during their evolution. In particular, we focus on the development of recent 3D numerical simulations that explain many of the observed flare features. These simulations can also provide predictions of the dynamical evolution of coronal and photospheric magnetic field. Here we present a few observational examples that, together with numerical modelling, point to the underlying physical mechanisms of the eruptions.

  17. ICSBEP Benchmarks For Nuclear Data Applications

    SciTech Connect (OSTI)

    Briggs, J. Blair [Idaho National Engineering and Environmental Laboratory (United States)

    2005-05-24

    The International Criticality Safety Benchmark Evaluation Project (ICSBEP) was initiated in 1992 by the United States Department of Energy. The ICSBEP became an official activity of the Organization for Economic Cooperation and Development (OECD) -- Nuclear Energy Agency (NEA) in 1995. Representatives from the United States, United Kingdom, France, Japan, the Russian Federation, Hungary, Republic of Korea, Slovenia, Serbia and Montenegro (formerly Yugoslavia), Kazakhstan, Spain, Israel, Brazil, Poland, and the Czech Republic are now participating. South Africa, India, China, and Germany are considering participation. The purpose of the ICSBEP is to identify, evaluate, verify, and formally document a comprehensive and internationally peer-reviewed set of criticality safety benchmark data. The work of the ICSBEP is published as an OECD handbook entitled ''International Handbook of Evaluated Criticality Safety Benchmark Experiments.'' The 2004 Edition of the Handbook contains benchmark specifications for 3331 critical or subcritical configurations that are intended for use in validation efforts and for testing basic nuclear data. New to the 2004 Edition of the Handbook is a draft criticality alarm / shielding type benchmark that should be finalized in 2005 along with two other similar benchmarks. The Handbook is being used extensively for nuclear data testing and is expected to be a valuable resource for code and data validation and improvement efforts for decades to come. Specific benchmarks that are useful for testing structural materials such as iron, chromium, nickel, and manganese; beryllium; lead; thorium; and 238U are highlighted.

  18. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    Robertson, J.; Polly, B.; Collis, J.

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define 'explicit' input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  19. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    and Ben Polly, Joseph Robertson; Polly, Ben; Collis, Jon

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define "explicit" input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  20. Building America Best Practices Series Volume 12: Builders Challenge Guide to 40% Whole-House Energy Savings in the Cold and Very Cold Climates

    SciTech Connect (OSTI)

    Baechler, Michael C.; Gilbride, Theresa L.; Hefty, Marye G.; Cole, Pamala C.; Love, Pat M.

    2011-02-01

    This best practices guide is the twelfth in a series of guides for builders produced by PNNL for the U.S. Department of Energy’s Building America program. This guide book is a resource to help builders design and construct homes that are among the most energy-efficient available, while addressing issues such as building durability, indoor air quality, and occupant health, safety, and comfort. With the measures described in this guide, builders in the cold and very cold climates can build homes that have whole-house energy savings of 40% over the Building America benchmark with no added overall costs for consumers. The best practices described in this document are based on the results of research and demonstration projects conducted by Building America’s research teams. Building America brings together the nation’s leading building scientists with over 300 production builders to develop, test, and apply innovative, energy-efficient construction practices. Building America builders have found they can build homes that meet these aggressive energy-efficiency goals at no net increased costs to the homeowners. Currently, Building America homes achieve energy savings of 40% greater than the Building America benchmark home (a home built to mid-1990s building practices roughly equivalent to the 1993 Model Energy Code). The recommendations in this document meet or exceed the requirements of the 2009 IECC and 2009 IRC and thos erequirements are highlighted in the text. This document will be distributed via the DOE Building America website: www.buildingamerica.gov.

  1. Building Long-Term Sustained Capacity and Influencing Decisions: The U.S. DOE SEP Capacity Model

    SciTech Connect (OSTI)

    McCarthy, Patrick [TecMarket Works; Hall, Nick [TecMarket Works; Schweitzer, Martin [ORNL; Lambert, Faith [U.S. Department of Energy

    2011-01-01

    This paper presents a state-level systems model that incorporates traditional behavior change models into a more extensive framework for explaining energy efficiency and renewable energy impacts. The model was developed from a seminal national study of state energy programs covering a broad array of programmatic topic areas. The study examined a wide range of program offerings within 24 states, involving over 25 years of state efforts. While specific priorities and outcomes varied greatly across the states for each of the topic areas, consistent systems-level capacity-building patterns were revealed. This model demonstrates how the U.S. Department of Energy s (DOE s) State Energy Program (SEP) and non-SEP resources, when incorporated into a framework of essential capacity-building components, can lead to energy efficiency and renewable energy achievements. This paper then features two case study illustrations of the model.

  2. On Variations of Space-heating Energy Use in Office Buildings

    SciTech Connect (OSTI)

    Lin, Hung-Wen; Hong, Tianzhen

    2013-05-01

    Space heating is the largest energy end use, consuming more than 7 quintillion joules of site energy annually in the U.S. building sector. A few recent studies showed discrepancies in simulated space-heating energy use among different building energy modeling programs, and the simulated results are suspected to be underpredicting reality. While various uncertainties are associated with building simulations, especially when simulations are performed by different modelers using different simulation programs for buildings with different configurations, it is crucial to identify and evaluate key driving factors to space-heating energy use in order to support the design and operation of low-energy buildings. In this study, 10 design and operation parameters for space-heating systems of two prototypical office buildings in each of three U.S. heating climates are identified and evaluated, using building simulations with EnergyPlus, to determine the most influential parameters and their impacts on variations of space-heating energy use. The influence of annual weather change on space-heating energy is also investigated using 30-year actual weather data. The simulated space-heating energy use is further benchmarked against those from similar actual office buildings in two U.S. commercial-building databases to better understand the discrepancies between simulated and actual energy use. In summary, variations of both the simulated and actual space-heating energy use of office buildings in all three heating climates can be very large. However these variations are mostly driven by a few influential parameters related to building design and operation. The findings provide insights for building designers, owners, operators, and energy policy makers to make better decisions on energy-efficiency technologies to reduce space-heating energy use for both new and existing buildings.

  3. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12

    Traditional building simulation programs possess attributes that make them difficult to use for the design and analysis of building energy and control systems and for the support of model-based research and development of systems that may not already be implemented in these programs. This article presents characteristic features of such applications, and it shows how equation-based object-oriented modelling can meet requirements that arise in such applications. Next, the implementation of an open-source component model library for building energy systems is presented. The library has been developed using the equation-based object-oriented Modelica modelling language. Technical challenges of modelling and simulating such systems are discussed. Research needs are presented to make this technology accessible to user groups that have more stringent requirements with respect to the numerical robustness of simulation than a research community may have. Two examples are presented in which models from the here described library were used. The first example describes the design of a controller for a nonlinear model of a heating coil using model reduction and frequency domain analysis. The second example describes the tuning of control parameters for a static pressure reset controller of a variable air volume flow system. The tuning has been done by solving a non-convex optimization problem that minimizes fan energy subject to state constraints.

  4. Internal Benchmarking Outreach and Data Collection Techniques

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Technical Assistance Program (TAP) presentation at a TAP webinar held on April 11, 2013 and dealing with internal benchmarking outreach and data collection techniques.

  5. Comparing Apples to Apples: Benchmarking Electrocatalysts for...

    Office of Science (SC) Website

    Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information May 2015 Comparing Apples to Apples: Benchmarking Electrocatalysts for...

  6. Benchmarking Outreach and Data Collection Techniques for External Portfolios

    Broader source: Energy.gov [DOE]

    This presentation contains information on Benchmarking Outreach and Data Collection Techniques for External Portfolios.

  7. Real-time drill monitoring and control using building information models augmented with 3D imaging data

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Real-time drill monitoring and control using building information models augmented with 3D imaging and incorporating point cloud data obtained from 3D imaging technologies1 into the drilling process in was de bridge deck. Once the point clouds were processed, zones which are safe for drilling were automatically

  8. Abstract--We present new approaches for building yearly and seasonal models for 5-minute ahead electricity load

    E-Print Network [OSTI]

    Koprinska, Irena

    to building a single yearly model. I. INTRODUCTION PREDICTING the future electricity demand, also called electricity load forecasting. They are evaluated using two full years of Australian electricity load data. We first analyze the cyclic nature of the electricity load and show that the autocorrelation function

  9. Soil Dynamics and Earthquake Engineering 26 (2006) 694707 Plain strain soilstructure interaction model for a building supported by

    E-Print Network [OSTI]

    Southern California, University of

    2006-01-01

    Soil Dynamics and Earthquake Engineering 26 (2006) 694­707 Plain strain soil­structure interaction, CA 90089-2531, USA Accepted 3 January 2006 Abstract A simple theoretical model for soil­structure interaction in water saturated poroelastic soils is presented, developed to explore if the apparent building­foundation­soil

  10. Description and preliminary validation of a model for natural convection heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.

    1985-01-01

    We have proposed a transient, quasi-two-dimensional, numerical model for interzone heat flow and airflow in passive solar buildings. The paths for heat flow and airflow are through connecting apertures such as doorways, hallways, and stairways. The model includes the major features that influence interzone convection as determined from the results of our flow visualization tests and temperature and airflow measurements taken in more than a dozen passive solar buildings. The model includes laminar and turbulent quasi-steady boundary-layer equations at vertical heated or cooled walls which are coupled to a one-dimensional core model for each zone. The cores in each zone exchange air and energy through the aperture which is modelled by a Bernoulli equation. Preliminary results from the model are in general agreement with data obtained in full-scale buildings and laboratory experiments. The model predicts room-core temperature stratification of about 2/sup 0/C/m (1.1/sup 0/ F/ft) and maximum aperture velocities of 0.08 m/s (15 ft/min.) for a room-to-room temperature difference of 1/sup 0/F.

  11. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    E-Print Network [OSTI]

    Coughlin, Katie

    2012-01-01

    and the daily cooling degree hours using 65 F as the baseassociated with cooling-degree hours. For each building, a

  12. Application of the Software as a Service Model to the Control of Complex Building Systems

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    to lower building carbon footprint. The Distributed Energyenergy consumption, and carbon footprint. DER-CAM is used toenergy purchases and carbon footprint, future installations

  13. Application of the Software as a Service Model to the Control of Complex Building Systems

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    Building Energy System Selection and Operation,” paper to be presented at Microgen’II: Second International Confer-ence of Microgeneration and

  14. Application of the Software as a Service Model to the Control of Complex Building Systems

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01

    CHP capabilities, and it is visible from Figure 6 that these technologies contribute a lot to the heat supply of the building (

  15. Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado.

  16. Heat Recovery in Building Envelopes

    E-Print Network [OSTI]

    Sherman, Max H.; Walker, Iain S.

    2001-01-01

    Model For Infiltration Heat Recovery. Proceedings 21st AivcLBNL 47329 HEAT RECOVERY IN BUILDING ENVELOPES Max H.contribution because of heat recovery within the building

  17. Event Generator Benchmarking for Proton Radiography Applications

    E-Print Network [OSTI]

    Stepan G. Mashnik; Richard E. Prael; Arnold J. Sierk; Konstantin K. Gudima; Nikolai V. Mokhov

    2003-03-18

    We have benchmarked the QGSM code and event generators of the MARS and LAHET3 codes as potential candidates for high-energy programs to be used in simulations for the Proton Radiography (PRad) Project. We have compiled from the literature experimental data on spectra of particles emitted from proton-induced reactions at incident energies from 30 GeV to 70 GeV on different nuclei and have performed calculations for all reactions for which we found data with these three codes without any modifications and using only default parameters and standard inputs. Our results (514 plots) show that all three codes describe reasonably most of the studied reactions, though all of them should be further improved before becoming reliable tools for PRad. We present here our conclusions concerning the relative roles of different reaction mechanisms in the production of specific secondary particles. We comment on the strengths and weaknesses of QGSM, MARS, and LAHET3 and suggest further improvements to these codes and to other models.

  18. Storage-Intensive Supercomputing Benchmark Study

    SciTech Connect (OSTI)

    Cohen, J; Dossa, D; Gokhale, M; Hysom, D; May, J; Pearce, R; Yoo, A

    2007-10-30

    Critical data science applications requiring frequent access to storage perform poorly on today's computing architectures. This project addresses efficient computation of data-intensive problems in national security and basic science by exploring, advancing, and applying a new form of computing called storage-intensive supercomputing (SISC). Our goal is to enable applications that simply cannot run on current systems, and, for a broad range of data-intensive problems, to deliver an order of magnitude improvement in price/performance over today's data-intensive architectures. This technical report documents much of the work done under LDRD 07-ERD-063 Storage Intensive Supercomputing during the period 05/07-09/07. The following chapters describe: (1) a new file I/O monitoring tool iotrace developed to capture the dynamic I/O profiles of Linux processes; (2) an out-of-core graph benchmark for level-set expansion of scale-free graphs; (3) an entity extraction benchmark consisting of a pipeline of eight components; and (4) an image resampling benchmark drawn from the SWarp program in the LSST data processing pipeline. The performance of the graph and entity extraction benchmarks was measured in three different scenarios: data sets residing on the NFS file server and accessed over the network; data sets stored on local disk; and data sets stored on the Fusion I/O parallel NAND Flash array. The image resampling benchmark compared performance of software-only to GPU-accelerated. In addition to the work reported here, an additional text processing application was developed that used an FPGA to accelerate n-gram profiling for language classification. The n-gram application will be presented at SC07 at the High Performance Reconfigurable Computing Technologies and Applications Workshop. The graph and entity extraction benchmarks were run on a Supermicro server housing the NAND Flash 40GB parallel disk array, the Fusion-io. The Fusion system specs are as follows: SuperMicro X7DBE Xeon Dual Socket Blackford Server Motherboard; 2 Intel Xeon Dual-Core 2.66 GHz processors; 1 GB DDR2 PC2-5300 RAM (2 x 512); 80GB Hard Drive (Seagate SATA II Barracuda). The Fusion board is presently capable of 4X in a PCIe slot. The image resampling benchmark was run on a dual Xeon workstation with NVIDIA graphics card (see Chapter 5 for full specification). An XtremeData Opteron+FPGA was used for the language classification application. We observed that these benchmarks are not uniformly I/O intensive. The only benchmark that showed greater that 50% of the time in I/O was the graph algorithm when it accessed data files over NFS. When local disk was used, the graph benchmark spent at most 40% of its time in I/O. The other benchmarks were CPU dominated. The image resampling benchmark and language classification showed order of magnitude speedup over software by using co-processor technology to offload the CPU-intensive kernels. Our experiments to date suggest that emerging hardware technologies offer significant benefit to boosting the performance of data-intensive algorithms. Using GPU and FPGA co-processors, we were able to improve performance by more than an order of magnitude on the benchmark algorithms, eliminating the processor bottleneck of CPU-bound tasks. Experiments with a prototype solid state nonvolative memory available today show 10X better throughput on random reads than disk, with a 2X speedup on a graph processing benchmark when compared to the use of local SATA disk.

  19. Modeling and Optimization of Commercial Buildings and Stationary Fuel Cell Systems (Presentation)

    SciTech Connect (OSTI)

    Ainscough, C.; McLarty, D.; Sullivan, R.; Brouwer, J.

    2013-10-01

    This presentation describes the Distributed Generation Building Energy Assessment Tool (DG-BEAT) developed by the National Renewable Energy Laboratory and the University of California Irvine. DG-BEAT is designed to allow stakeholders to assess the economics of installing stationary fuel cell systems in a variety of building types in the United States.

  20. The Framework of an Optimization Model for the Thermal Design of Building Envelopes 

    E-Print Network [OSTI]

    Al-Homoud, M. S.; Degelman, L. O.; Boyer, L. L.

    1994-01-01

    to the decision making process of building design. In dealing with the building as a thermal system, the proper selection of its components and their relationships can be organized using a systems approach. This can be achieved by coupling an optimization...

  1. The BENCHMARK trademark code: Simulation of hourly generation: User's guide

    SciTech Connect (OSTI)

    Jenkins, R.T. (Tennessee Univ., Chattanooga, TN (USA). School of Engineering)

    1990-04-01

    BENCHMARK simulates generator commitment and dispatch hourly for periods extending from one week to one year. Its value to utilities stems from its accurate representation of operator strategies and generator operating constraints (including ramp rate limits, minimum operating levels, and minimum uptime and downtime). The availability of thermal units is either prespecified or determined by a Monte Carlo technique. The program can model a pump-storage or compressed-air energy storage facility, and can allocate hydroelectric energy over a multiweek interval. BENCHMARK can produce reports with detailed hourly data or summary reports for part or all of the simulation period. Results can be reported for individual units or for groups of units. It is also possible to produce a file of data for use with an external graphics program. BENCHMARK is written in FORTRAN and requires about 2-1/2 megabytes of core. Execution times per simulation week and per Monte Carlo replication vary from under 1 second of CPU time for systems without a storage facility to up to about 10 seconds for a large system with pumped storage.

  2. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    Potential for Achieving Net Zero-Energy Buildings in thea commitment to delivering net-zero energy new (and in someplan calls for net-zero energy commercial buildings by

  3. Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple-Linear Inverse Building Energy Analysis Models, ASHRAE Research Project 1050-RP, Final Report 

    E-Print Network [OSTI]

    Kissock, J. K.; Haberl, J. S.; Claridge, D. E.

    2002-11-01

    This report summarizes the results of ASHRAE Research Project 1050: Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple Linear Inverse Building Energy Analysis Models. The Inverse Modeling ...

  4. A Methodology to Identify Monthly Energy Use Models from Utility Bill Data for Seasonally Scheduled Buildings: Application to K-12 Schools 

    E-Print Network [OSTI]

    Wang, W.; Claridge, D. E.; Reddy, T. A.

    1998-01-01

    The measured energy savings from retrofits in buildings is often determined as the difference between the energy consumption predicted by a baseline model and the measured energy consumption during the post retrofit period. Most baseline models...

  5. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    55] A.W.  Pratt, Heat Transmission in Buildings, John Wiley through radiative transmission, conductive heat transfer (

  6. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    clean energy future." Energy policy 29(14): 1179- CBI (2008) US Department of Energy, Commercial Building Initiative

  7. Better Buildings 

    E-Print Network [OSTI]

    Neukomm, M.

    2012-01-01

    replicable programs/solutions. Emphasis on home energy improvement Federal Performance-based Contracting Challenge ?Leverage ARRA ?Overcome Barriers ?Drive Action/Change ?Grow Partnerships Better Buildings promotes energy efficiency as top... Senior Executive --Announce innovations/market solutions Take Action -Showcase project within 9 months -Organization wide plan, schedule and milestones within 9 months Report Results -Share information and implementation models -Share...

  8. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-10-01

    Developments in passive solar buildings that took place from the early 1970`s through 1989 are described. Much of the work covered was federally sponsored during the period 1975 through 1986. About half the volume is devoted to quantitative methods for modeling, simulation, and design analysis of passive buildings; the other half summarizes the quantitative results of testing and monitoring of models and buildings. The following are covered: building solar gain modeling, simulation analysis, simplified methods, materials and components, analytical results for specific systems, test modules, building integration, performance monitoring and results, and design tools. (MHR)

  9. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D. )

    1992-01-01

    Developments in passive solar buildings that took place from the early 1970's through 1989 are described. Much of the work covered was federally sponsored during the period 1975 through 1986. About half the volume is devoted to quantitative methods for modeling, simulation, and design analysis of passive buildings; the other half summarizes the quantitative results of testing and monitoring of models and buildings. The following are covered: building solar gain modeling, simulation analysis, simplified methods, materials and components, analytical results for specific systems, test modules, building integration, performance monitoring and results, and design tools. (MHR)

  10. Product and Process Modeling for Functional Performance Testing in Low-Energy Building Embedded Commissioning Cases 

    E-Print Network [OSTI]

    Akcamete, A.; Garrett, J.; Akinci, B.; Akin, O.; Lee, K. J.

    2007-01-01

    Our work deals with creating information assistance for commissioning (Cx) low-energy buildings throughout their life-cycle. We call this Embedded Commissioning in reference to the integration of persistent and reliable Cx information. We have...

  11. Methodology for the evaluation of natural ventilation in buildings using a reduced-scale air model

    E-Print Network [OSTI]

    Walker, Christine E. (Christine Elaine)

    2006-01-01

    Commercial office buildings predominantly are designed to be ventilated and cooled using mechanical systems. In temperate climates, passive ventilation and cooling techniques can be utilized to reduce energy consumption ...

  12. Decarbonising the English residential sector: modelling policies, technologies and behaviour within a heterogeneous building stock

    E-Print Network [OSTI]

    Kelly, Scott

    2013-04-16

    propensity to consume more energy are also more likely to have higher energy efficiency. Internal dwelling temperature is one of the most important parameters for explaining residential energy demand over a heterogeneous building stock. Yet bottom up...

  13. A Challenge Obfuscation Method for Thwarting Model Building Attacks on PUFs

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    additive func- tions such as Arbiter PUF (APUF) and k-sum PUF as building units. Nevertheless, both APUFs variations that occur during hardware device manufacturing. More importantly, secrecy of a PUF is derived

  14. Development and evaluation of a building energy model integrated in the TEB scheme

    E-Print Network [OSTI]

    Bueno Unzeta, Bruno

    The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the ...

  15. A Review of Ground Coupled Heat Pump Models Used in Whole-Building Computer Simulation Programs 

    E-Print Network [OSTI]

    Do, S. L.; Haberl, J. S.

    2010-01-01

    Increasingly, building owners are turning to ground source heat pump (GSHP) systems to improve energy efficiency. Ground-coupled heat pump (GCHP) systems with a vertical closed ground loop heat exchanger are one of the more widely used systems. Over...

  16. Fuzzy Comprehensive Evaluation Model and Influence Factors Analysis on Comprehensive Performance of Green Buildings 

    E-Print Network [OSTI]

    Sun, J.; Wu, Y.; Dai, Z.; Hao, Y.

    2006-01-01

    A green building involves complex system engineering including energy efficiency and energy utilization, water-saving and water utilization, material-saving and material utilization, and land-saving and indoor environment quality and operation...

  17. Commercial-Residential Buildings' Vulnerability Component of the Florida Public Hurricane Loss Model

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Commercial-Residential Buildings' Vulnerability Component of the Florida Public Hurricane Loss to be surveyed and defined. Within this context the State of Florida has created the Florida Public Hurricane

  18. Building Stones

    E-Print Network [OSTI]

    2012-01-01

    3). Photographs by the author. Building Stones, Harrell, UEEOxford Short Citation: Harrell, 2012, Building Stones. UEE.Harrell, James A. , 2012, Building Stones. In Willeke

  19. Hawaii demand-side management resource assessment. Final report, Reference Volume 1: Building prototype analysis

    SciTech Connect (OSTI)

    1995-04-01

    This report provides a detailed description of, and the baseline assumptions and simulation results for, the building prototype simulations conducted for the building types designated in the Work Plan for Demand-side Management Assessment of Hawaii`s Demand-Side Resources (HES-4, Phase 2). This report represents the second revision to the initial building prototype description report provided to DBEDT early in the project. Modifications and revisions to the prototypes, based on further calibration efforts and on comments received from DBEDT Staff have been incorporated into this final version. These baseline prototypes form the basis upon which the DSM measure impact estimates and the DSM measure data base were developed for this project. This report presents detailed information for each of the 17 different building prototypes developed for use with the DOE-21E program (23 buildings in total, including resorts and hotels defined separately for each island) to estimate the impact of the building technologies and measures included in this project. The remainder of this section presents some nomenclature and terminology utilized in the reports, tables, and data bases developed from this project to denote building type and vintage. Section 2 contains a more detailed discussion of the data sources, the definition of the residential sector building prototypes, and results of the DOE-2 analysis. Section 3 provides a similar discussion for the commercial sector. The prototype and baseline simulation results are presented in a separate section for each building type. Where possible, comparison of the baseline simulation results with benchmark data from the ENERGY 2020 model or other demand forecasting models specific to Hawaii is included for each building. Appendix A contains a detailed listing of the commercial sector baseline indoor lighting technologies included in the existing and new prototypes by building type.

  20. Use of Source Term and Air Dispersion Modeling in Planning Demolition of Highly Alpha-Contaminated Buildings

    SciTech Connect (OSTI)

    Droppo, James G.; Napier, Bruce A.; Rishel, Jeremy P.; Bloom, Richard W.

    2011-06-22

    The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.