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Reduce Building Energy Consumption by Improving the Supply Air Temperature Schedule and Recommissioning the Terminal Boxes, Submitted to the Energy Management and Operations Division at the M.D. Anderson Cancer Center
(Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M UniversityDepartment of Mechanical Engineering, Texas A&M University, 1995)
At the request of the Energy Management and Operations Department at M.D. Anderson Cancer Center, the Energy Systems Laboratory of Texas A&M University performed a study of optimizing the HVAC operation at its Basic Research ...
Report of Energy Efficiency Study and Metering/Utilities Profile for Electric Deregulation at Tarleton State University (TSU), Stephenville, Texas
(Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 1999)
The director of Energy Management & Controls and staff at Tarleton State University (TSU) do a very good job of maintaining TSU and keeping expenses down. They have metering installed in many buildings and track the campus ...
Improving Building Comfort and Energy Savings of the McKenzie Airport Terminal by Maintaining and Improving Pneumatic Control Systems
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 2004)
McKenzie Airport Terminal is located at
Easterwood Airport, which is owned and
operated by Texas A&M University. It was built
in 1988. Most all HVAC equipment, which
includes boiler, chiller, pumps, AHUs and
exhaust fans, ...
Development of Baseline Monthly Utility Models for Fort Hood, Texas
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 1996)
The Fort Hood Army base in central
Texas has more than 5,200 buildings and can be
considered as typical of large Department of
Defense Army bases in the continental United
States. The annual utility bill of the base ...
Use of EMCS Recorded Data to Identify Potential Savings Due to Improved HVAC Operations & Maintenance (O&M)
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 1996)
In most chiller and boiler central plants, the
energy management and control systems (EMCS)
monitor and record key operation parameters and
energy production continuously. A method was
developed to identify potential O&M ...
Environmental Impact of the Texas LoanSTAR Program
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 1998)
This paper presents an analysis of the
environmental impact of the energy reductions that
have been measured in the Texas LoanSTAR
program. There are a number of factors that
influence emission factors. The three major ...
Lessons Learned From the Continuous Commissioning of a Multi-Functional Commercial Building
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 2000)
A multi-functional institutional building often
has ventilation and comfort requirements that vary
widely from zone to zone. When we commissioned
the Reed McDonald building on the main campus of
Texas A&M University (TAMU), ...
Baseline Report for the Fort Hood Army Base: Sept. 1, 2002 - Aug. 31, 2003
(Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2003)
This report presents electricity, natural gas and cooling baselines for the thermal plant, buildings located in the 87000 block, III Corp building and other buildings that were determined to be part of the ESPC project at ...
Monitoring and Verification Procedures Used in the Texas LoanSTAR and Rebuild America Programs
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 2001)
The monitoring and verification procedures that
have been developed for the Texas LoanSTAR
program and the ESL's Rebuild America Program
have become a foundation for a number of other state
and federal M&V programs, including ...
Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models
(Energy Systems Laboratory (http://esl.tamu.edu)Texas A&M University (http://www.tamu.edu), 2001)
The occupancy factor is often
underestimated in inverse modeling of building
energy use, or accounted for by grouping the
daily data in occupied and unoccupied groups
which are modeled separately. For instance, in
institutional ...