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This collection consists of articles published by researchers affiliated with the Energy Systems Laboratory.

A listing of these documents is found in the CATALOG on the ESL Community's main page. This list is comprehensive and searchable. It provides a complete view of all documents in the ESL Digital Library except for the proceedings, although a few of them are listed as Publised Articles (PAs).

Some of these publications are copyright sensitive. For information on those publications, please email Sherrie Hughes at sherriehughes@tees.tamus.edu.

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Calculation of NOx Emissions Reductions From Energy Efficient Residential Building Construction in Texas

Haberl, J. S.; Culp, C.; Gilman, D.; Yazdani, B.; Fitzpatrick, T.; Muns, S. (Energy Systems Laboratory, Department of Mechanical Engineering, May 23, 2006)

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Abstract:

Four areas in Texas have been designated by the United States Environmental Protection Agency (EPA) as non-attainment areas because ozone pollution levels exceed the National Ambient Air Quality Standard (NAAQS) maximum allowable limits. These areas face severe sanctions if attainment is not reached by 2007. This paper provides an overview of the procedures that have been developed and used to calculate the electricity savings and NOx reductions from code-compliant residential construction in non-attainment and affected counties. This paper reviews the calculation methods and presents results that show the 2003 annual electricity and natural gas savings and NOx reductions from implementation of the 2000 IECC to single-family and multi-family residences in 2003, which use a code-tracable DOE-2 simulation. A discussion of the development of a web-based emissions reductions calculator is also discussed.

URI:

http://handle.tamu.edu/1969.1/3449

Files in this item: 1

ESL-PA-04-10-01.pdf (991.5Kb)

Comprehensive Community NOx Emission Reduction Methodology: Overview and Results from the Application to a Case Study Community

Sung, Y. H.; Haberl, J. S. (IBPSA USA, August 2004)

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This paper reports on the development of a methodology to estimate energy use in a community and its associated effects on air pollution. This methodology would allow decision makers to predict the impacts of various energy conservation options and efficiency programs on air pollution reduction, which will help local governments and their residents understand how to reduce pollution and mange the information collection needed to accomplish this. This paper presents a broad overview of a community-wide energy use and NOx emissions inventory process and discusses detailed procedures used to calculate the residential sector's energy use and its associated NOx emissions. In an effort to better understand community-wide energy use and its associated NOx emissions, the City of College Station, Texas, was selected as a case study community to demonstrate the application of this methodology.

URI:

http://handle.tamu.edu/1969.1/2879

Files in this item: 1

ESL-PA-04-08-01.pdf (2.303Mb)

Measured Energy Use Indices for 27 Office Buildings

Haberl, J. S.; Sreshthaputra, A.; Claridge, D. E.; Turner, W. D.; Harmon, K.; Kisselburgh, J.; Mase, R. (Energy Systems Laboratory, Texas A&M University, July 2001)

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Abstract:

Energy use indices for 27 government office buildings are presented that have been assembled from hourly monitored data as part of the Texas LoanSTAR program and other efforts at the Energy Systems Laboratory. These indices include whole-building electricity, cooling and heating use, as well as the electricity used by the motor control centers (i.e., fans, pumps, etc.) and the combined lights and receptacles. In this paper a comparative summary of the information is presented across all the sites, as well as tabular information about the indices. Such indices are useful for ascertaining baseline line measurements, or other indicators of energy use in commercial office buildings.

URI:

http://handle.tamu.edu/1969.1/2844

Files in this item: 1

ESL-PA-01-07-02.pdf (455.4Kb)

Simulation and Optimization on Power Plant Operation Using SEGA's EOP Program

Zhou, J.; Deng, S.; Turner, W. D.; Liu, M. (Energy Systems Laboratory, Texas A&M University, May 2000)

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Abstract:

The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented by appropriate models and then structured to establish a system model. A better understanding of the complicated interaction among all energy components within the plant was achieved through systematic simulation using EOP. Overall performance of the plant operation under different conditions was investigated. Further more, (online) operational optimization is made possible by load re-assignment according to EOP's calculation. Other researches on plant operation, such as the impact of utility rates on operational decision making, were also carried out with the help of this program. This paper shows how a well-designed commercial software is exploited in engineering research.

URI:

http://handle.tamu.edu/1969.1/2843

Files in this item: 1

ESL-PA-00-05-01.pdf (175.5Kb)

Restoration of Short Periods of Missing Energy Use and Weather Data Using Cubic Spline and Fourier Series Approaches: Qualitative Analysis

Baltazar-Cervantes, J. C.; Claridge, D. E. (Energy System Laboratory, Texas A&M University, May 2002)

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Abstract:

This paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one year long. In order to differentiate the approaches, two comparisons were carried out. The first comparison was made between the estimated and actual values, as time series and as cross check plots. The second comparison is based on the fraction of the total data that can be estimated by and approach within specific ranges or error. Thus for the cooling and heating data, the fraction of the data set was estimated within 1%, 5%, and 10% of the measured values was determined. For the dew point and the dry-bulb temperature samples, the performance is based on the amount of data that are within 1, 3, 5, and 10ºF from the actual data. From the results of this analysis, it appears that linear interpolation is a better approach for filling gaps one to three hours long. The cubic splines approach gave better performance for gaps between four and six.

URI:

http://handle.tamu.edu/1969.1/2842

Files in this item: 1

ESL-PA-02-05-02.pdf (771.4Kb)

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