Browsing by Author "Sweeney, J., Jr."

Now showing 1 - 6 of 6
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    Access and Display of LoanSTAR Data via the Internet
    (Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2001) Sweeney, J., Jr.; Lockhart, D.; Haberl, J. S.
    The Energy and Environmental Data System (EEDS) is a web application that facilitates web-based viewing of the Energy Systems Lab's extensive building energy databases. EEDS is the initial framework for a growing set of internet energy analysis tools.
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    Automated Data Quality Analysis Research and Development
    (Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2002) Sweeney, J., Jr.; Haberl, J. S.
    The Automated Data Quality process development is an effort to automate the analysis and monitoring of the Energy Systems Lab's (ESL) polling and energy data process. Polling status refers to basic telecommunication line states, quality of data communications, and logger-system checks. The data from the Data Logging System can also be checked for quality at various stages in the ESL's Data System.
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    Internet Data logging and Display
    (Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2001) Sweeney, J., Jr.; Culp, C.; Haberl, J. S.
    The current energy savings technology relies on conventional data logging systems, in which two major barriers exist. Formost is the fact that retrieving the energy data is not convenient, and the cost of the data logging equipment is high. The solution presented here is to accomplish these goals is to include a miniature web server in a remote-logging module, which we designed as part of our device. Thus allowing data to be accessed more frequently, via the Internet. As it currently stands, the state of California in the United States is experiencing power grid problems as residential and industrial energy demands increase. If an energy savings program is to be implemented, then an energy monitoring strategy must also devised. Our Internet appliance provides a solution, and this paper summarizes our implementation details and provides a computer screen-capture of the data being posted onto the Internet.
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    LoanSTAR Database Overview, A LoanSTAR Deliverable Report
    (Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2003) Sweeney, J., Jr.
    The data in this database is the LoanSTAR segment of the building energy information data system at the Texas A&M University's Energy Systems Lab. This portion of the data system has been exported to the afore-mentioned computer system in a mySQL database called lsd (LoanSTAR database). This database consists of control and channel data tables. Control data is all the data that provides relationships to the other tables in the database. The channel data is the 'energy' data.
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    Proposed Metering and Instrumentation Monitoring and Analysis Plan and Budget: Alamo Community College District
    (Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University, 2002) O'Neal, D. L.; Carlson, K. A.; Sweeney, J., Jr.; Milligan, K.
    The purpose of this overview is to outline the metering points that will be monitored by the Energy Systems Laboratory (ESL). At three of the campuses, Alamo Community College District (ACCD) has a central energy management system (EMS) installed that has the capability to record energy data. It is ESL's intent to utilize this system to collect data for energy monitoring and commissioning purposes. Since ACCD does not monitor gas consumption, ESL would like to incorporate gas metering into the current EMS. ESL may recommend upgrading some or all of the existing Energy Management System's software and client PC workstations (these hardware/software upgrades are not included in this budget), hi order for ESL to link into the existing EMS, it will be necessary to install additional software (PCAnywhere) or equipment (mainly another PC workstation) near the existing EMS computer terminals. ESL would also like Ethernet lines connected to the PC workstation so the system could be accessed via Internet. Software development will be needed to extract and format the existing EMS data sequence, push the data to ESL's network and load it into ESL's databases.
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    Technology Enablers for Next-Generation Economic Building Monitoring Systems
    (Texas A&M University (http://www.tamu.edu), 2001) Sweeney, J., Jr.; Culp, C.
    The measurement of a building's electrical and thermal consumption provides the necessary data used to increase energy efficiency. Measurements typically range from hourly to monthly. Monthly data can be used to determine if savings are being maintained. Hourly data provides added detail for diagnostics. Currently, the cost of a complete monitoring system deters use in buildings under 30,000 to 50,000 square feet. Buildings can be optimized using techniques like Continuous CommissioningSM (CCSM) and experience a reduction in consumption ranging from 10% to 40% [1]. Using hourly data has proven to be very effective in maintaining the initial level of savings over an extended period of time [1]. The Energy Systems Laboratory at Texas A&M University (TAMU) has applied CCSM to over 100 buildings and obtained an average savings of 22 percent. Currently, wholebuilding and sub-metering relies on conventional dial-up based data logging systems. Development of a next-generation data acquisition system is essential to achieve a lower cost for building energy monitoring and analysis. The next-generation system discussed in this paper is a complete redesign. It will be Internet-enabled and secure; take advantage of current advances in smarter sensors, use embedded micro-controllers and mixed signal processors and use Java and XML.