David H. Blum
David H. Blum
Computational Research Scientist/Engineer, Lawrence Berkeley National Laboratory
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
Model Predictive Control for Demand Flexibility: Real-world Operation of a Commercial Building with Photovoltaic and Battery Systems
K Zhang, A Prakash, L Paul, D Blum, P Alstone, J Zoellick, R Brown, ...
Advances in Applied Energy, 100099, 2022
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
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), 156, 2022
Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization
D Kim, Z Wang, J Brugger, D Blum, M Wetter, T Hong, MA Piette
Applied Energy 321, 119343, 2022
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, ...
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
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
Estimating ASHRAE Guideline 36 energy savings for multi-zone variable air volume systems using Spawn of EnergyPlus
K Zhang, D Blum, H Cheng, G Paliaga, M Wetter, J Granderson
Journal of Building Performance Simulation 15 (2), 215-236, 2022
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
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20