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You searched for subject:(thermal load prediction). Showing records 1 – 2 of 2 total matches.

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Mississippi State University

1. Sarwar, Riasat Azim. Performance evaluation and field validation of building thermal load prediction model.

Degree: MS, Mechanical Engineering, 2015, Mississippi State University

This thesis presents performance evaluation and a field validation study of a time and temperature indexed autoregressive with exogenous (4-3-5 ARX) building thermal load prediction model with an aim to integrate the model with actual predictive control systems. The 4-3-5 ARX model is very simple and computationally efficient with relatively high prediction accuracy compared to the existing sophisticated prediction models, such as artificial neural network prediction models. However, performance evaluation and field validation of the model are essential steps before implementing the model in actual practice. The performance of the model was evaluated under different climate conditions as well as under modeling uncertainty. A field validation study was carried out for three buildings at Mississippi State University. The results demonstrate that the 4-3-5 ARX model can predict building thermal loads in an accurate manner most of the times, indicating that the model can be readily implemented in predictive control systems. Advisors/Committee Members: Dr. Heejin Cho (chair), Dr. Rogelio Luck (committee member), Dr. Pedro J. Mago (committee member).

Subjects/Keywords: load prediction accuracy; uncertainty analysis; field measurements; validation study; indexed prediction model; ARX models; cooling load; Building thermal load prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sarwar, R. A. (2015). Performance evaluation and field validation of building thermal load prediction model. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04292015-173812/ ;

Chicago Manual of Style (16th Edition):

Sarwar, Riasat Azim. “Performance evaluation and field validation of building thermal load prediction model.” 2015. Masters Thesis, Mississippi State University. Accessed November 19, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04292015-173812/ ;.

MLA Handbook (7th Edition):

Sarwar, Riasat Azim. “Performance evaluation and field validation of building thermal load prediction model.” 2015. Web. 19 Nov 2019.

Vancouver:

Sarwar RA. Performance evaluation and field validation of building thermal load prediction model. [Internet] [Masters thesis]. Mississippi State University; 2015. [cited 2019 Nov 19]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04292015-173812/ ;.

Council of Science Editors:

Sarwar RA. Performance evaluation and field validation of building thermal load prediction model. [Masters Thesis]. Mississippi State University; 2015. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04292015-173812/ ;

2. Yun, Kyungtae. OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS.

Degree: PhD, Mechanical Engineering, 2012, Mississippi State University

Traditional power plants only utilize about 30 percent of the primary energy that they consume, and the rest of the energy is usually wasted in the process of generating or transmitting electricity. On-site and near-site power generation has been considered by business, labor, and environmental groups to improve the efficiency and the reliability of power generation. Combined heat and power (CHP) systems are a promising alternative to traditional power plants because of the high efficiency and low CO2 emission achieved by recovering waste thermal energy produced during power generation. A CHP operational algorithm designed to optimize operational costs must be relatively simple to implement in practice such as to minimize the computational requirements from the hardware to be installed. This dissertation focuses on the following aspects pertaining the design of a practical CHP operational algorithm designed to minimize the operational costs: (a) real-time CHP operational strategy using a hierarchical optimization algorithm; (b) analytic solutions for cost-optimal power generation unit operation in CHP Systems; (c) modeling of reciprocating internal combustion engines for power generation and heat recovery; (d) an easy to implement, effective, and reliable hourly building load prediction algorithm. Advisors/Committee Members: Rogelio Luck (chair), Pedro J. Mago (committee member), Kalyan K. Srinivasan (committee member), Heejin Cho (committee member).

Subjects/Keywords: regression model; power generation unit; thermal load prediction; feedback control; real-time operation; optimization; CHP

…78 VI. BUILDING HOURLY THERMAL LOAD PREDICTION USING AN INDEXED ARX MODEL… …Thermal Load Prediction of a Small Office Building for 5 Days during a Heating Period… …95 6.2 Thermal Load Prediction of a Small Office Building for 5 Days during a Cooling… …computationally efficient, real-time building/facility thermal load prediction model with accuracy… …2.3 Load Prediction An accurate thermal load prediction is beneficial for minimizing… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yun, K. (2012). OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03272012-125634/ ;

Chicago Manual of Style (16th Edition):

Yun, Kyungtae. “OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS.” 2012. Doctoral Dissertation, Mississippi State University. Accessed November 19, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03272012-125634/ ;.

MLA Handbook (7th Edition):

Yun, Kyungtae. “OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS.” 2012. Web. 19 Nov 2019.

Vancouver:

Yun K. OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Nov 19]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03272012-125634/ ;.

Council of Science Editors:

Yun K. OPTIMAL PGU OPERATION STRATEGY IN CHP SYSTEMS. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03272012-125634/ ;

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