David H. Blum
David H. Blum
Computational Research Scientist/Engineer, Lawrence Berkeley National Laboratory
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All you need to know about model predictive control for buildings
J Drgoňa, J Arroyo, IC Figueroa, D Blum, K Arendt, D Kim, EP Ollé, ...
Annual Reviews in Control, 2020
Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems
DH Blum, K Arendt, L Rivalin, MA Piette, M Wetter, CT Veje
Applied Energy 236, 410-425, 2019
Technologies and magnitude of ancillary services provided by commercial buildings
YJ Kim, DH Blum, N Xu, L Su, LK Norford
Proceedings of the IEEE 104 (4), 758-779, 2016
Opportunity Cost Quantification for Ancillary Services Provided by Heating, Ventilating, and Air-Conditioning Systems
DH Blum, T Zakula, LK Norford
IEEE Transactions on Smart Grid 8 (3), 1264-1273, 2017
Dynamic simulation and analysis of ancillary service demand response strategies for variable air volume HVAC systems
DH Blum, LK Norford
HVAC&R Research 20 (8), 908-921, 2014
Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings
D Blum, F Jorissen, S Huang, Y Chen, J Arroyo, K Benne, Y Li, V Gavan, ...
MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings
DH Blum, M Wetter
Proceedings of the 15th IBPSA Conference San Francisco, CA, USA, Aug. 7-9 …, 2017
An assessment of the load modifying potential of model predictive controlled dynamic facades within the California context
C Gehbauer, DH Blum, T Wang, ES Lee
Energy and Buildings 210, 109762, 2020
Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings
D Blum, J Arroyo, S Huang, J Drgoňa, F Jorissen, HT Walnum, Y Chen, ...
Journal of Building Performance Simulation 14 (5), 586-610, 2021
Demand Smoothing in Military Microgrids Through Coordinated Direct Load Control
SC Shabshab, PA Lindahl, JK Nowocin, J Donnal, D Blum, L Norford, ...
IEEE Transactions on Smart Grid 11 (3), 1917-1927, 2019
A novel multi-market optimization problem for commercial heating, ventilation, and air-conditioning systems providing ancillary services using multi-zone inverse comprehensive …
DH Blum, N Xu, LK Norford
Science and Technology for the Built Environment 22 (6), 783-797, 2016
Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs
O Van Cutsem, M Kayal, D Blum, M Pritoni
2019 IEEE Milan PowerTech, 1-6, 2019
Dynamic simulation of regulation demand response by VAV HVAC systems
DH Blum, LK Norford
Proc. ASHRAE/IBPSA-USA Building Simul. Conf., 402-409, 2014
Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids
A Krishnan Prakash, K Zhang, P Gupta, D Blum, M Marshall, G Fierro, ...
Energies 13 (12), 3093, 2020
A three-year dataset supporting research on building energy management and occupancy analytics
N Luo, Z Wang, D Blum, C Weyandt, N Bourassa, MA Piette, T Hong
Scientific Data 9 (1), 1-15, 2022
Development and Verification of Control Sequences for Single-Zone Variable Air Volume System Based on ASHRAE Guideline 36
K Zhang, DH Blum, M Grahovac, J Hu, J Granderson, M Wetter
Proceedings of the American Modelica Conference 2020, March 23-25, Boulder …, 2020
Improving the use of commercial building HVAC systems for electric grid ancillary services
DH Blum
Massachusetts Institute of Technology, 2016
Analysis and characterization of ancillary service demand response strategies for variable air volume HVAC systems
DH Blum
Massachusetts Institute of Technology, 2013
Field demonstration and implementation analysis of model predictive control in an office HVAC system
D Blum, Z Wang, C Weyandt, D Kim, M Wetter, T Hong, MA Piette
Applied Energy 318, 119104, 2022
Development and Validation of a Latent Thermal Energy Storage Model Using Modelica
D Helmns, DH Blum, SM Dutton, VP Carey
Energies 14 (1), 194, 2021
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