Publications

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Publications

Journal:

  • Wu, D., Momeni, M., Razban, A. and Chen, J., Optimizing Demand-Controlled Ventilation with Thermal Comfort and CO2 Concentrations using Long Short-Term Memory and Genetic Algorithm, J. of Building and Environment, Accepted for publication, 2023
  • Hosseini, P., Taheri, S., Akhavan, J. and Razban, A., “Privacy-Enhanced Forecasting of Behind-the-Meter Solar PVs Using Federated Learning”, Journal of Energy Conversion and Management, Volume 283, 1 May 2023, 116900, https://doi.org/10.1016/j.enconman.2023.116900
  • Movahed, P., Taheri and Razban, A., “A Bi-Level Data-Driven Framework for Fault-Detection and Diagnosis of HVAC Systems”, J. of Applied Energy, (invited paper), Volume 339, 1 June 2023, 120948, https://doi.org/10.1016/j.apenergy.2023.120948
  • Taheri, S., Hosseini, P.  and Razban, A., “Model Predictive Control of Heating, Ventilation, and Air Conditioning (HVAC) Systems: A State-of-the-Art Review”, Journal of Building Engineering, 2022, https://doi.org/10.1016/j.jobe.2022.105067
  • Taheri, S., Akbari, A., Ghahremani, B and Razban, A., “Reliability-based energy scheduling of active buildings subject to renewable energy and demand uncertainty”,  Thermal Science and Engineering Progress, Vol. 28, Article 101149,  Feb. 2022, https://doi.org/10.1016/j.tsep.2021.101149
  • Taheri, S. and Razban, A., “A Novel Probabilistic Regression Model for Electrical Peak Demand Estimate of Commercial and Manufacturing Buildings”, Sustainable Cities and Society, Vol. 77, Article 103544, Feb. 2022, https://doi.org/10.1016/j.scs.2021.103544
  • Taheri, S. and Razban, A., “Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation”, Building and Environment 205, Article 108164, Nov. 2021, https://doi.org/10.1016/j.buildenv.2021.108164
  • Trautman, N., Razban, A. and Chen, J., “Overall Chilled Water System Energy Consumption Modeling and Optimization Condenser Water Energy Consumption Optimization”, Applied Energy, volume 299, Oct. 2021, https://doi.org/10.1016/j.apenergy.2021.117166
  • Ahire,V., Shewale, M., Razban, A., A Review of the State-of-the-Art Emission Control Strategies in Modern Diesel Engines, Archives of Computational Methods in Engineering, 28, pages 4897–4915, March https://doi.org/10.1007/s11831-021-09558-x
  • Wu, D. Bahrami, B., Razban, A. and Chen, J., Air Compressor Load Forecasting using Artificial Neural Network, J. Expert Systems with Applications, Vol.168, Article 114209, April 2021, https://doi.org/10.1016/j.eswa.2020.114209
  • Vance, D., Razban, A., Schubert, P., Weissbach, R., “Investigation into Sizing Photovoltaic with Energy Storage for Off-Grid Transactive Scenarios”, “Special Issue “Renewable Energy and Energy Storage Systems”, Energies 2021, 14(4), 1062; https://doi.org/10.3390/en14041062
  • Zambare, H., Khoje A., Patil, S. and Razban, A., “MR damper modeling performance comparison including hysteresis and damper optimization”, IEEE Access, Feb, 2021, DOI:10.1109/ACCESS.2021.3057174
  • Shewale, M., Razban, A., Deshmukh, D., Mulik, S, Design, Development and Implementation of the Position Estimator Algorithm for Harmonic Motion on the XY Flexural Mechanism for High Precision Positioning, Sensors 2020, Volume 20, Issue 3, 662, https://www.mdpi.com/1424-8220/20/3/662.
  • Ligade, J. and Razban, A., Investigation of Energy Efficient Retrofit HVAC Systems for a University: Case Study, Sustainability 2019, 11(20), 5593; https://doi.org/10.3390/su11205593
  • Shewale, M., Razban, A., Deshmukh, D., Mulik, S, Patange, Characterization and System Identification of XY Flexural Mechanism using Double Parallelogram Manipulator for High Precision Scanning, Chapter book, Lecture Notes in Electrical Engineering 570, edited by A. Kumer and S. Mozar, ISBN 978-981-13-8714-2, Springer Nature Singapore Pte Ltd. 2020, pp. 387-404, https://doi.org/10.1007/978-981-13-8715-9.
  • Purandare, S., Zambare, H. and Razban, A., Analysis of magnetic flux in magneto-rheological damper, J. Phys. Commun. 3 (2019) 075012, https://dx.doi.org/10.1088/2399-6528/ab33d7.
  • Razban, A., Khatib, A., Goodman, D., Chen, J., Mechanical modeling of air handling unit subsystem in a commercial building, Thermal Science and Engineering Progress 11 (2019) 231-238, https://doi.org/10.1016/j.tsep.2019.03.019.
  • Wu, D. Amini, A., Razban, A. and Chen, J., ARC algorithm: a novel approach to forecast and manage daily electrical maximum demand, J. of Energy, Volume 154, 2018, Pages 383-389, https://doi.org/10.1016/j.energy.2018.04.117 (invited paper).
  • Deshpande R., Nair A., Razban A., Color based Object Tracking Robot. Robotics & Automation Engineering Journal 2018; 2(3), March 2018, pp 1-5: 555588, DOI: 19080/RAEJ.2018.02.555588
  • Razban, A., Edalatnoor, A., Goodman, D., and Chen, J, Energy optimization of air handling unit using CO2 data and coil performance, Proc. of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), Nov. 2016, ISBN: 978-0-7918-5059-6, doi:10.1115/IMECE2016-66271
  • Goodman, D., Chen, J., Razban, A., and Li, J., Identification of key parameters affecting energy consumption of air handling unit, Proc. of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), Nov. 2016, ISBN: 978-0-7918-5059-6, doi:10.1115/IMECE2016-66258
  • Razban, A., Khatib, A., Chu, Y., Comparison of energy consumption between Lid resistive heating and immersion rod heating furnaces in aluminum die casting industry, Proc. of NADCA Die Casting Congress, Milwaukee, WI., 22-24 Sept. 2014

Conference:

  • Taheri, S., Jafarian, A., and Razban, A., “Effects of occupancy detection/prediction on predictive control models for commercial buildings”, Proceedings of Applied Energy Symposium and Forum: Low carbon cities and urban energy systems, Matsue & Tokyo, Japan, Sept. 2023.
  • Wu, D., Movahed, P., Razban, A. and Chen, J., “Enhancing Energy Management System using Internet-of-things Sensors and Energy Simulation – A Case Study of Industrial Ventilation”, IEEE Proceeding of International Conference on Innovation and Technological Advances for Sustainability, Doha, Qatar, March 1-3, 2023
  • Movahed, P., Taheri, S. and Razban, A., “A bi-level data-driven framework for fault detection and diagnosis of HVAC systems with feature explainability”, Proceedings of Applied Energy Symposium: MIT A+B (Volume 25: Accelerated Energy Innovations and Emerging Technologies), Boston, MA., July 2022, Energy Proceedings
  • Jafarian, A., Taheri, S., Daniel, E. and Razban, A., “Developing a Method to Calculate Leaks in a Compressed Air Line Using Time Series Pressure Measurements”, Proceedings of Applied Energy Symposium: MIT A+B (Volume 25: Accelerated Energy Innovations and Emerging Technologies), Boston, MA., July 2022, Energy Proceedings.
  • Taheri, S. and Razban, A., “Privacy-enhanced forecasting of behind-the-meter solar PVS using federated learning”, Proc. of the 2022 Southeast Decision Sciences Institute (SEDSI) conference, Feb. 2022
  • Shewale, M. and Razban, A., “A control-oriented soot prediction model for diesel engines using an integrated approach”, Proc. of the ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE2021), Nov. 2021, https://doi.org/10.1115/IMECE2021-71502
  • Blubaugh, M., Razban, A. and Chen, J., “Demand-Controlled Ventilation Energy Savings for Air Handling Unit, Proceedings of Applied Energy Symposium: MIT A+B (Energy Proceeding, Vol. 15), Boston, MA., 2021, Volume 15: Technology Innovation to Accelerate Energy Transitions | Energy Proceedings (energy-proceedings.org)
  • Momeni, M., Wu, D., Razban, A. and Chen, J., “Data-driven Demand Control Ventilation Using Machine Learning CO2 Occupancy Detection Method”, Proceeding of ECOS 2020, the 33 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, pp. 2047-2058, June 29-July 3, 2020, Osaka, Japan
  • Dalvi, , Razban, A., El-Mounyari, H., El-Mekkawy, T. and Promyoo, R. “Integrated System Model of District Cooling for Energy Consumption Optimization”, Proceeding of ECOS 2020, the 33 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, pp. 1709-1719, June 29-July 3, 2020, Osaka, Japan.
  • Wang, B. and Razban, A., “Systematic energy and exergy efficiency study and comparison between direct fired and indirect fired heating systems”, Proceeding of ECOS 2019, the 32 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, pp. 645-656, June 23-28, 2019, Wroclaw, Poland.
  • Bahrami, B., Trautman, N., and Razban, A., “Compressed air energy storage for demand management in industrial manufacturers”, Proceeding of ECOS 2019, the 32 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, pp. 677-690, June 23-28, 2019, Wroclaw, Poland.
  • Vance, D., Razban, A., Schubert, P., Weissbach, R., “Developing a PV and Energy Storage Sizing Methodology for Off-Grid Transactive Microgrids”, Proceedings of Applied Energy Symposium: MIT A+B May 22-24, 2019, Boston, MA.
  • Shewale, M., Razban, A., Deshmukh, D., Mulik, S, Patange, A. “Characterization and System Identification of XY Flexural Mechanism using Double Parallelogram Manipulator for High Precision Scanning”, ICCCE 2019: Proceedings of the 2nd International Conference on Communications and Cyber Physical Engineering, Pune, India.
  • Ligade, J., Sebastian, D. and Razban, A., “Challenges of Creating a Verifiable Building Energy Model”, ASHRAE Transactions (2019) 125 20-28, 2019 ASHRAE Winter Conference & AHR Expo, Atlanta, GA, January 12–16, 2019.
  • Ayoub, A., Razban, A. and Chen, J., “Modeling of Industrial Air Compressor System Energy Consumption and Effectiveness of Various Energy Saving on the System”, Proceedings of ECOS 2018, the 31 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, June 17-21, 2018, Guimaraes, Portugal.
  • Wu, D., A., Razban, A. and Chen, J., “Energy Audit Quick Estimator: A User-friendly Mobile Estimator for Energy Auditors”, Proceedings of ECOS 2018, the 31 International Conference on efficiency, optimization, simulation and environmental impact of energy systems, June 17-21, 2018 Guimaraes, Portugal.
  • Shewale, M., Razban, A., Deshmukh, D., Mulik, S. and Zambare, H., “Design and Implementation of Position Estimator Algorithm on Voice Coil Motor”, 3rd Biennial International Conference on Nascent Technologies in Engineering (ICNTE 2018), IEEE Xplore, PP. 1-5, DOI: 1109/I2CT.2018.8529546
  • Shewale, M., Razban, A., Deshmukh, D., Mulik, S. and Zambare, H.,“Design and Experimental Validation of Voice Coil Motor for High Precision Applications”, 3rd Biennial International Conference on Nascent Technologies in Engineering (ICNTE 2018), (ICNTE 2018), IEEE Xplore, PP. 1-5, DOI:1109/I2CT.2018.8529706
  • Wu, D., Amini, A., Razban, A. and Chen, J., A Novel Approach to Forecast and Manage Daily Electrical Maximum Demand, Proceedings of ECOS 2017, The 30th International Conference on Efficiency, Cost, Optimization, Simulation and environmental impact of Energy Systems, July 2-6, 2017, San Diego, CA.
  • Zambare, H, Vyas, V., Nagesh, S., Razban, A., Performance Simulation of Optimized Stock 2014 Ducati Panigale 899 for Quarter Mile Drag Racing, 2nd Biennial International Conference on Nascent Technologies in Engineering (ICNTE 2017), IEEE Xplore, PP. 1-6, DOI: 1109/ICNTE.2017.7947897
  • Razban, A., Edalatnoor, A., Goodman, D., and Chen, J, Energy optimization of air handling unit using CO2 data and coil performance, Proc. of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), Nov. 2016, ISBN: 978-0-7918-5059-6, doi:10.1115/IMECE2016-66271
  • Goodman, D., Chen, J., Razban, A., and Li, J., Identification of key parameters affecting energy consumption of air handling unit, Proc. of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), Nov. 2016, ISBN: 978-0-7918-5059-6, doi:10.1115/IMECE2016-66258
  • Razban, A., Khatib, A., Chu, Y., Comparison of energy consumption between Lid resistive heating and immersion rod heating furnaces in aluminum die casting industry, Proc. of NADCA Die Casting Congress, Milwaukee, WI., 22-24 Sept. 2014
  • Cambridge, J., Frazier, S., Goodman, D., Nofal, M. and Razban, A., Compressed Air Efficiency: A Case Study Combining Variable Speed Control with Electronic Inlet Valve Modulation, Proc. of Society of Automotive Engineers (SAE) International, 13SDP-035, Detroit, MI, April 2013, ISSN 0148-7191, doi:10.4271/2013-01-0834