Browsing by Author "Rasmussen, B. P."

Now showing items 1-6 of 6

    • Automated Part Tracking and Metrology Applied to a Manufacturing Process 
      Morelli, F.; Halbert, T.; Hignight, M.; Kell, Z.; Lacy, J.; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2013)
      This paper presents a case study in the design of an automated part tracking and metrology systems for an industrial manufacturing system. A major productivity challenge of this facility is managing each batch of parts as ...
    • Design and Predictive Control of a Net Zero Energy Home 
      Morelli, F.; Abbarno, N.; Boese, E.; Bullock, J.; Carter, B.; Edwards, R.; Lapite, O.; Mann, D.; Mulvihill, C.; Purcell, E.; Stein, M. IV; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2013)
      This paper analyzes two methods to reduce residential energy consumption for a Net Zero home in Austin, Texas. The first method seeks to develop a control algorithm that actively engages environmental conditioning. The ...
    • Identifying Efficiency Degrading Faults in Split Air Conditioning Systems 
      Terrill, T. J.; Brown, M. L.; Cheyne, R. W. Jr.; Cousins, A. J.; Daniels, B. P.; Erb, K. L.; Garcia, P. A.; Leutermann, M. J.; Nel, A. J.; Robert, C. L.; Widger, S. B.; Williams, A. G.; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2013)
      Studies estimate that as much as 50% of packaged air conditioning systems operate in faulty conditions that degrade system efficiency. Common faults include: under- and over-charged systems (too much or too little refrigerant), ...
    • Image Recognition System for Automated Lighting Retrofit Assessment 
      Venable, K.; Bhatia, D.; Coverick, R.; Gutierrez, C.; Knight, J.; McGarry, D.; McGee, K.; Smith, Z.; Terrill, T. J.; Vanderford, B.; Weiser, R.; Wightman, K.; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2013)
      Buildings are responsible for approximately 40% of all US energy use and carbon emissions. Lighting technologies continue to evolve, leading to potential energy savings through retrofits of lighting systems. Building ...
    • Integration of Sensors with Embedded Data Acquisition for Automation of Lighting Analysis 
      Terrill, T. J.; Bay, C. J.; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2014)
    • Optimized Design of a Furnace Cooling System 
      Morelli, F.; Bretschneider, R.; Dauzat, J.; Guymon, M.; Studebaker, J.; Rasmussen, B. P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2013)
      This paper presents a case study of manufacturing furnace optimized re-design. The bottleneck in the production process is the cooling of heat treatment furnaces. These ovens are on an approximate 24-hour cycle, heating ...