College of Engineering and Applied Science » Research » Centers & Labs » Building Energy Assessment and Solutions and Technologies Lab » Publications

Publications

  1. Nassif, N. 2017. Optimizing the Design of Chilled Water Plants for Commercial Building Energy Systems. Accepted ASHRAE transactions.
  2. Nassif, N., M. Arida, and R. Talib. 2016. Development and Testing of Building Energy Model Using Non-Linear Auto Regression Neural Networks. 2016 ASHRAE Meeting, St Louis, MO.
  3. Buford J. N. Nassif. 2016. The Dynamic Modeling of Chilled Water HVAC Systems Using System Identification Methods. 2016 ASHRAE Meeting, St Louis, MO.
  4. Nassif, N., K. Rice, B. Shen (2015). Development of a Matlab-Based Integrated Model for Optimal Design and Operation of Heat Pumps. 2015 ASHRAE Annual Conference, Atlanta, GA
  5. Gooden, J., N. Nassif, (2015). Modeling and Validation of a DX Heat Pump System Using Artificial Neural Network. 2015 ASHRAE Annual Conference, Atlanta, GA
  6. Nassif, N., R. Tesiero, and N. AlRaees (2014). A new air conditioning system fan model based on numerical analysis. American Journal of Engineering and Applied Sciences 7(1): 32-40.
  7. Tesiero, R., N. Nassif, H. Singh, and K. M. Flurchick (2014). Low-cost strategies to save energy in k-12 schools. American Journal of Engineering and Applied Sciences 7(1): 41-53.
  8. AlRaees, N., N. Nassif, and F. Al Rifaie (2014). The effect of ventilation and economizer on energy consumptions for air source heat pumps in schools. American Journal of Engineering and Applied Sciences 7(1): 54-61.
  9. Nassif, N., and N. Al Raees. (2014). Energy Analysis of CO2-Based Demand Controlled Ventilation and Economizer for Air Source Heat Pump in Schools. ASHRAE Transactions 120 (1).
  10. Tesiero, R. N. Nassif, H. Singh. (2014). Low-Tech/No-Cost” Control Strategies to Save Energy in K-12 Schools, ASHRAE Transactions 120(1).
  11. Nassif, N., C. Halls, and D., Freeland. (2014) Optimal Design and Control of Ice Thermal Storage System for a Typical Chilled Water Plant, ASHRAE Transactions 120(1).
  12. Lin, Y., N. Nassif, and M. Liu, (2014). Implementation of Energy Efficiency Measures in a Semiconductor Building, Journal of Energy Engineering 111 (4), 34-58 (Association of Energy Engineers (AEE).
  13. Choi. W., N. Nassif, and S.-H. Oh (2014) Comparison of Temperature Susceptibility for Three Types of Outdoor Farrowing Huts. Applied Engineering in Agriculture 30(2):241-247.
  14. Nassif, N. (2014). Modeling and Optimization of HVAC Systems Using Artificial Neural Network and Genetic Algorithm. International Journal of Building Simulation 7 (3):237-245.
  15. Nassif, N., R. Tesiero, and N. Al Raees. (2013). Energy Performance Analysis of Ice Thermal Storage for Commercial HVAC Systems. Journal of Energy and Power Engineering 7: 1713-1718
  16. Nassif, N. (2013). Single and Multivariate Regression Models for Estimating Monthly Energy Consumptions in Schools in Hot and Humid Climates. Energy Engineering 110 (5), 33-54.
  17. Nassif, N, R.C. Tesiero, and H. Singh. (2013). Impact of Ice Thermal Storage on Cooling Energy Cost for Commercial HVAC Systems. ASHRAE Transactions 119(1)
  18. Nassif, N, R.C. Tesiero, and H. Singh. (2013). Developing and Validation of HVAC System Fan Model Based on Numerical Analysis. ASHRAE Transactions 119(1)
  19. Nassif, N. (2012). The Impacts of Air Filters on the Performance of Typical Air-Conditioning Systems. International Journal of Building Simulation 5(4): 345-350.
  20. Nassif, N. (2012). A robust CO2-based demand-controlled ventilation control strategy for multi-zone HVAC systems. Elsevier, Energy and Buildings 45:72-81.
  21. Nassif, N. (2012). Modeling and Optimization of HVAC Systems Using Artificial Intelligence Approaches. ASHRAE Transactions 118 (2), 133.
  22. Nassif, N. (2012). Impacts of Air Filters on Energy Consumption in Typical HVAC Systems. ASHRAE Transactions 118 (2), 74.
  23. Nassif, N. (2012). Supply Air CO2-Based Demand-Controlled Ventilation for Multi-Zone HVAC Systems. ASHRAE Transactions 118 (2), 300.
  24. Nassif, N. (2012). Regression Models for Estimating Monthly Energy Consumptions in Schools in Hot and Humid Climate. ASHRAE Transactions 118 (1), 225.