Modelica

Dr. Zuo presented our work at the 13th International Modelica Conference in Regensburg, Germany

Anonymous — Thu, 21 Mar 2019 22:59:29 +0000

Dr. Zuo presented our work at the 13th International Modelica Conference in Regensburg, Germany Anonymous (not verified) Thu, 03/21/2019 - 16:59

Jing Wang

From March 4-6, 2019, the 13th International Modelica Conference was held in Regensburg, Germany. Dr. Zuo attended the conference and presented our research. He also visited three German institutes: Fraunhofer Institute for Building Physics (IBP), Coburg University of Applied Sciences, Friedrich-Alexander-University Erlangen-Nuremberg, and discussed opportunities for collaborations.

Photo shows Dr. Zuo visiting the supersonic flow test facility at Coburg University of Applied Sciences.

From left to right: Professor Philipp Epple, his Ph.D. student, Dr. Zuo

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Dr. Zuo attended the 12th International Modelica Conference in Prague

Anonymous — Thu, 18 May 2017 02:03:33 +0000

Dr. Zuo attended the 12th International Modelica Conference in Prague Anonymous (not verified) Wed, 05/17/2017 - 20:03

Jing Wang

The 12th International Modelica Conference was held from May 15th to 17th in Prague, Czech Republic. Dr. Zuo attended the conference and presented our paper titled "Coupled simulation between CFD and multizone models based on Modelica Buildings library to study indoor environment control."

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SBS Lab researchers contributed to the new Modelica Buildings Library

Anonymous — Thu, 30 Mar 2017 22:13:48 +0000

SBS Lab researchers contributed to the new Modelica Buildings Library Anonymous (not verified) Thu, 03/30/2017 - 16:13

Jing Wang

On March 30, 2017, LBNL released version 4.0.0 of Modelica Buildings Library including new models for district energy systems and fast house models. SBS Lab researchers Yangyang Fu and Wei Tian contributed to this new version.

This version contains the following major additions:

Buildings.Experimental.DistrictHeatingCooling with models for district heating and cooling with bi-directional flow in the distribution pipes.
Buildings.Fluid.FMI.Adaptors and Buildings.Fluid.FMI.ExportContainers, which allow export of HVAC systems and of thermal zones as Functional Mockup Units.
Buildings.Fluid.HeatExchangers.ActiveBeams, with active beams for cooling and heating.
Buildings.Fluid.HeatExchangers.DXCoils.WaterCooled, with water-cooled direct expansion cooling coils.
Buildings.ThermalZones.ReducedOrder, with reduced order models of thermal zones based on VDI 6007 that are suitable for district energy simulation.
The models Buildings.HeatTransfer.Conduction.SingleLayer, Buildings.HeatTransfer.Conduction.MultiLayer, and Buildings.HeatTransfer.Windows.Window have been refactored to add the option to place a state at the surface of a construction. This leads in many examples that use the room model to a 20% to 40% faster simulation.
The models Buildings.Fluid.HeatPumps.ReciprocatingWaterToWater and Buildings.Fluid.HeatPumps.ScrollWaterToWater have been added.

This release also improves various existing models. For a detailed list of changes, see http://simulationresearch.lbl.gov/modelica/releases/v4.0.0/help/Buildings_UsersGuide_ReleaseNotes.html#Buildings.UsersGuide.ReleaseNotes.Version_4_0_0.

For more information and download, visit http://simulationresearch.lbl.gov/modelica/.

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Dr. Zuo visited the Lawrence Berkeley National Laboratory and presented at a seminar

Anonymous — Tue, 15 Nov 2016 21:57:25 +0000

Dr. Zuo visited the Lawrence Berkeley National Laboratory and presented at a seminar Anonymous (not verified) Tue, 11/15/2016 - 14:57

Jing Wang

Dr. Zuo visited the Lawrence Berkeley National Laboratory during 11/14-15, 2016. He gave a presentation at the semiar titled "From Buildings to Cities: Research and Development of Modelica-based Technique for Real-world Applications" at the Energy Technologies Area.

The contents of the presentation are listed below:

As an innovative approach for system modeling and simulation, the equation-based Modelica language has recently gained a lot of interests from the building industry. Despite the broad interests, the adoption of Modelica in the building industry is still in its early stage and there are not many real-world applications in the U.S. Based on the LBNL’s Modelica Buildings library, the Modelica-based technique was further developed and applied to solve real-world problems. This seminar introduced the research and development using three real-world projects:

(1) Model-based controls optimization for chilled water plants;

(2) Controls design and evaluation for an energy and water efficient hotel in Miami Beach;

(3) Modeling of a net zero energy community on an island in the Gulf of Mexico.

Finally, the plans were discussed to develop tools for energy efficient data center cooling through the new DOE BENEFIT project and to extend the Modelica-based technology to model smart, sustainable, and resilient cities through two newly funded National Science Foundation projects.

Detailed information can be found at https://eetd.lbl.gov/news/events/2016/11/15/from-buildings-to-cities-re.

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Dr. Zuo and Yangyang Fu attended the North America Modelica Users' Group Conference 2016

Anonymous — Thu, 29 Sep 2016 22:27:44 +0000

Dr. Zuo and Yangyang Fu attended the North America Modelica Users' Group Conference 2016 Anonymous (not verified) Thu, 09/29/2016 - 16:27

Jing Wang

Dr. Zuo and his PhD student, Yangyang Fu, presented at the North America Modelica Users’ Group Conference held in Troy, Michigan on September 29th, 2016. The topic of their presentation is “Modelica-based Modelling for Net Zero Communities”.

Detailed information about the North America Modelica Users’ Group can be found at http://na.modelica-users.org/.

Left to right: Yangyang Fu (PhD student at SBS Lab), James Nutaro (Research Staff in the Modelling and Simulation Group at the Oak Ridge National Laboratory), and Michael Wetter (Scientist in the Simulation Research Group at the Lawrence Berkeley National Laboratory).

Left to right: Yangyang Fu and Dr. Wangda Zuo.

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Model Predictive Control for Chilled Water Plants

Anonymous — Thu, 01 Jan 2015 07:00:00 +0000

Model Predictive Control for Chilled Water Plants Anonymous (not verified) Thu, 01/01/2015 - 00:00

Improving the energy efficiency of chilled water plants is important since they account for about 35% the energy consumed by commercial building cooling equipment in the U.S. Model predictive control is a feasible way to enhance the operational efficiency of the chilled water plants. Our research is to develop a Python-based dynamic optimization platform that can perform continuous optimization for various control settings of chilled water plants. By using the Modelica modeling language, we can quickly model a chilled water plant with any system configurations and dynamically simulate its control behavior.

Collaborators

Lawrence Berkeley National Laboratory

Publications:

Journal articles:

S. Huang, A. Malara, W. Zuo, M. Sohn 2018. "A Bayesian Network Model for the Optimization of a Chiller Plant’s Condenser Water Set Point."Journal of Building Performance Simulation, 11(1), pp. 36-47.
S. Huang, W. Zuo, M. Sohn 2018. "A Bayesian Network Model for Predicting Cooling Load of Commercial Buildings." Building Simulation, 11(1), pp. 87-101.
S. Huang, W. Zuo, M. Sohn 2017. "Improved Cooling Tower Control of Legacy Chiller Plants by Optimizing the Condenser Water Set Point." Building and Environment, 111, pp. 33-46.
S. Huang, W. Zuo, M. Sohn 2016. "Amelioration of the Cooling Load Based Chiller Sequencing Control." Applied Energy, 168, pp. 204-215.

Conference proceedings:

S. Huang, W. Zuo, M. D. Sohn 2016. “A Bayesian Network Model for Predicting the Cooling Load of Educational Facilities.” Proceedings of the ASHRAE and IBPSA-USA SimBuild 2016: Building Performance Modeling Conference, pp. 1-8, August 8-12, Salt Lake City, UT.
S. Huang, M.V. Cavey, R. Sterling, W. Zuo, L. Helsen, A. Giretti, M. Bonvini, Z. O’Neill, M. Wetter, A. Costa, G. Boehme, R. Klein, B. Dong, M. M. Keane 2016. “IEA Annex 60 Activity 2.3: Model Use During Operation, Approach and Case Studies.” Proceedings of the 12th REHVA World Congress (CLIMA2016), May 22-25, Aalborg, Denmark.
S. Huang, W. Zuo, M. D. Sohn 2015. “A New Method for the Optimal Chiller Sequencing Control.” Proceedings of the 14th Conference of International Building Performance Simulation Association (Building Simulation 2015), pp. 316-323, December 7-9, Hyderabad, India.
A. C. L. Malara, S. Huang, W. Zuo, M. D. Sohn, N. Celik 2015. “Optimal Control of Chiller Plants Using Bayesian Network.” Proceedings of the 14th Conference of International Building Performance Simulation Association (Building Simulation 2015), pp. 449-455, December 7-9, Hyderabad, India.
T. Li, G. Shao, W. Zuo, S. Huang 2015. “Genetic Algorithm for Building Optimization - State-Of-The-Art Survey.” Proceedings of the 9th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), pp. 205-210, July 12-15, Tianjin, China.
S. Huang, W. Zuo 2014. “Optimization of the Water-Cooled Chiller Plant System Operation.” Proceedings of the 2014 ASHRAE/IBPSA-USA Building Simulation Conference, pp. 300-307, September 10-12, Atlanta, GA.

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