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Net Zero Energy Community (NZEC) Library

Anonymous — Sat, 23 Mar 2019 19:05:33 +0000

Net Zero Energy Community (NZEC) Library Anonymous (not verified) Sat, 03/23/2019 - 13:05

A open source Modelica library for the NZEC is built to facilitate the design and operation of a real NZEC. Using this library, a virtual testbed is built based on Historic Green Village, a real-world NZEC on Anna Maria Island, Florida. The testbed consists of a framework and system models for different subsystems, including solar photovoltaic (PV) systems, ground-coupled source heat pumps, buildings, the electric grid, and so on. The framework streamlines the process for simulation and optimization with Python; the models include both physics-based ones and data-driven ones, designed for different data availability and application contexts. The models are validated against the measurement data.

Software Download

The development site of this software is at: https://bitbucket.org/sbslab-zuo/scc-nzec.

Training Workshop

J. Wang, S. Huang, W. Zuo 2020 "Cyber-Physical System Modeling using Modelica for Smart and Sustainable Communities", the free workshop on "Cyber-physical System Modeling using Modelica for Smart and Sustainable Communities" on September 18.

Release Notes

07/28/2020: SCC-NZEC library V1.1 released.
- Added new package OccupantBehavior which enables occupancy-dependent schedule generation for thermostat setpoints, etc.
03/27/2019: SCC-NZEC library V1.0 released.
- First release of the library. It contains component and system models supporting community-scale building load, domestic hot water, heat pump system and power source modeling.

Acknowledgment

The NZEC library was the outcome of the project "BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities" sponsored by the National Science Foundation (Award No. IIS-1802017).

The development of the library was also supported by the U.S. Department of Energy, Energy Efficiency and Renewable Energy, Building Technologies Office, under contract no. DE-AC05-76RL01830.

Related Publications

S. Huang, J. Wang, Y. Fu, W. Zuo, K. Hinkelman, R. M. Kaiser, D. He, D. Vrabie 2021. “An Open-source Virtual Testbed for a Real Net-Zero Energy Community”. Sustainable Cities and Society, 75, pp. 103255.
J. Wang, S. Huang, W. Zuo, D. Vrabie 2021. “Occupant Preference-Aware Load Scheduling for Resilient Communities .” Energy and Buildings, 252, pp. 111399.
J. Wang, K. Garifi, K. Baker, W. Zuo, Y. Zhang, S. Huang, D. Vrabie 2020. "Occupant Preference-Aware Load Scheduling for Resilient Communities" Energies, 13, pp 5683.
J. Wang, W. Zuo, S. Huang, D. Vrabie 2020. “Data-driven Prediction of Occupant Presence and Lighting Power: A Case Study for Small Commercial Buildings .” American Modelica Conference 2020, Virtual Conference, September 22-24.
D. He, S. Huang, W. Zuo, R. Kaiser 2016. “Demo Abstract: a Virtual Testbed for Net Zero Energy Communities.” Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2016), pp. 211-212, November 16-17, Palo Alto, CA.
D. He, S. Huang, W. Zuo, R. Kaiser 2016. “Towards to the Development of Virtual Testbed for Net Zero Energy Communities.” Proceedings of the ASHRAE and IBPSA-USA SimBuild 2016: Building Performance Modeling Conference, pp. 125-132, August 8-12, Salt Lake City, UT.

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Comprehensive Pliant Permissive Priority Optimization

Anonymous — Mon, 14 Jan 2019 01:10:12 +0000

Comprehensive Pliant Permissive Priority Optimization Anonymous (not verified) Sun, 01/13/2019 - 18:10

This project is funded by Department of Energy and is a joint project with Pacific Northwest National Laboratory and Oak Ridge National Laboratory. The project goal is to develop a framework to prioritize behind-the-meter end-use resources, and a prototype tool that offers assessment of end-use load-utilization patterns and provides real-time dynamic prioritization of the energy-consuming loads based on end-use functional utility to satisfy occupant activity requirements.

Collaborators

Journal publications

S. Huang, J. Wang, Y. Fu, W. Zuo, K. Hinkelman, R. M. Kaiser, D. He, D. Vrabie 2021. “An Open-source Virtual Testbed for a Real Net-Zero Energy Community”. Sustainable Cities and Society, 75, pp. 103255.
J. Wang, S. Huang, W. Zuo, D. Vrabie 2021. “Occupant Preference-Aware Load Scheduling for Resilient Communities.” Energy and Buildings, 252, pp. 111399.
J. Wang, K. Garifi, K. Baker, W. Zuo, Y. Zhang, S. Huang, D. Vrabie 2020. "Optimal Renewable Resource Allocation and Load Scheduling of Resilient Communities." Energies, 13, pp. 5683.

Conference Proceedings

J. Wang, W. Zuo, S. Huang, D. Vrabie 2020. “Data-driven Prediction of Occupant Presence and Lighting Power: A Case Study for Small Commercial Buildings.” American Modelica Conference 2020, Virtual Conference, September 22-24.
Y. Fu, S. Huang, Y. Liu, T. McDermott, D. Vrabie, W. Zuo 2019. “A Multidisciplinary Model to Couple Power System Dynamics and Building Dynamics to Enable Building-to-Grid Integration.” Proceeding of the 16th Conference of International Building Performance Simulation Association (Building Simulation 2019), September 2-4, Rome, Italy.
Y. Fu, S. Huang, D. Vrabie, W. Zuo 2019. “Coupling Power System Dynamics and Building Dynamics to Enabling Building-to-Grid Integration.” Proceedings of the 13th International Modelica Conference, pp. 561-566, March 4-6, Regensburg, Germany.

Open Source Model Release

A open source Modelica library for the net zero energy community (NZEC) is built to facilitate the design and operation of a real NZEC. The models and related training materials are available at Net Zero Energy Community (NZEC) Library.

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New research project "Comprehensive Pliant Permissive Priority Optimization" funded by DOE

Anonymous — Mon, 14 Jan 2019 00:53:31 +0000

New research project "Comprehensive Pliant Permissive Priority Optimization" funded by DOE Anonymous (not verified) Sun, 01/13/2019 - 17:53

Jing Wang

Recently, our lab received a new funded project studying “Comprehensive Pliant Permissive Priority Optimization”. The project is funded by Department of Energy and it is a joint project with Pacific Northwest National Laboratory and Oak Ridge National Laboratory.

The project goal is to develop a framework to prioritize behind-the-meter end-use resources, and a prototype tool that offers assessment of end-use load-utilization patterns and provides real-time dynamic prioritization of the energy-consuming loads based on end-use functional utility to satisfy occupant activity requirements. The project period is 01/2019-09/2020.

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SBS Lab's research is featured in "University of Miami Special Report on Cuba and the Caribbean"

Anonymous — Tue, 24 Oct 2017 23:59:40 +0000

SBS Lab's research is featured in "University of Miami Special Report on Cuba and the Caribbean" Anonymous (not verified) Tue, 10/24/2017 - 17:59

Jing Wang

Our lab's research on net zero energy community is recently featured in the special report "University of Miami Special Report on Cuba and the Caribbean". This report focuses on a diversity of aspects of Cuba and the Caribbean area including the environment, the people, business and economy, etc.

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SBS Lab's research is featured in "University of Miami Special Report on Cuba and the Caribbean"

Anonymous — Tue, 24 Oct 2017 23:44:03 +0000

SBS Lab's research is featured in "University of Miami Special Report on Cuba and the Caribbean" Anonymous (not verified) Tue, 10/24/2017 - 17:44

Jing Wang

University of Miami recently released the special report titled "University of Miami Special Report on Cuba and the Caribbean". This report focuses on a diversity of aspects of Cuba and the Caribbean area including the environment, the people, business and economy, etc.

Our lab's research on zero energy community is featured in "Exploring Energy Options for Cuba" as part of the environment sector. Congratulations to all!

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Dr. Zuo gave a talk at the Community Building Colorado-Style conference

Anonymous — Sun, 22 Oct 2017 22:01:18 +0000

Dr. Zuo gave a talk at the Community Building Colorado-Style conference Anonymous (not verified) Sun, 10/22/2017 - 16:01

Jing Wang

On Oct. 21, the Colorado Congress for the New Urbanism (CNU) and CU Boulder's Community Engagement, Design and Research (CEDaR) Center hosted the Community Building Colorado-Style conference. Speakers and panelists discussed innovations to encourage small businesses, smart city technologies, creative districts, mobile and manufactured housing communities, green infrastructure strategies, citizen and youth engagement in city design and more.

Dr. Zuo attended the conference and gave a talk about our Net Zero Energy Community project in the "Smart City and Community: Connecting the Dots" session.

Photo by Jen Shelby

For more information, visit the CEDaR Website.

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SBS Lab researchers installed the weather station and solar monitoring system in HGV, Ana Maria

Anonymous — Sat, 11 Mar 2017 22:30:04 +0000

SBS Lab researchers installed the weather station and solar monitoring system in HGV, Ana Maria Anonymous (not verified) Sat, 03/11/2017 - 15:30

Jing Wang

Thomas Alonso Sevilla, Yangyang Fu, Yunyang Ye and Wei Tian went to Ana Maria, and installed the weather station and solar monitoring system in the Historic Green Village.

Left to right: Yangyang Fu, Yunyang Ye, Thomas Alonso Sevilla.

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College of Engineering News "Planning smart, sustainable and connected communities"

Anonymous — Fri, 16 Sep 2016 14:39:17 +0000

College of Engineering News "Planning smart, sustainable and connected communities" Anonymous (not verified) Fri, 09/16/2016 - 08:39

Jing Wang

College of Engineering, University of Miami News reported our new NSF research grant on smart community modeling: "Planning Smart, Sustainable and Connected Communities".

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BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities

Anonymous — Thu, 01 Sep 2016 06:00:00 +0000

BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities Anonymous (not verified) Thu, 09/01/2016 - 00:00

The goal of this project is to develop a new planning framework for smart, connected and sustainable communities that allows meeting such zero energy, zero outage, and zero congestions goals by optimally deciding on how, when, and where to deploy or upgrade a community's infrastructure. By bringing together interdisciplinary domain experts from data science, electrical engineering, and civil and architectural engineering, this research will yield several innovations:

Novel big data techniques for faithfully creating spatiotemporal models for smart communities that integrate data from heterogeneous sources and shed light on the composition and operation of a given smart community;
Novel, data driven performance metrics that advance powerful mathematical tools from stochastic geometry to explicitly quantify the health of smart communities via tractable notions of zero energy, zero outage, and zero congestion;
Advanced analytical tools that bring forward novel ideas from optimization theory to devise the most effective strategies for deploying, upgrading, and operating various community infrastructure nodes, given the scale, dynamics, and structure of both the data and the community;
A virtual smart community testbed that can accurately reconstruct, simulate, and evaluate the theoretical framework by leveraging open nonproprietary real world big data sets.

Go to project website to read more

Project Team

Faculty:

Wangda Zuo, Ph.D.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
wangda.zuo@colorado.edu

Graduate Students:

Jing Wang, M.S.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
jing.wang@colorado.edu

Katy Hinkelman, M.S., EIT
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
kathryn.hinkelman@colorado.edu

Saranya Anbarasu, M.S.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
saan1256@colorado.edu

Mingzhe Liu, Ph.D.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
mingzhe.liu@colorado.edu

Chengnan Shi, M.S.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
chengnan.shi@colorado.edu

Yingli Lou, M.S.
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
yingli.lou@colorado.edu

Yizhi Yang, M.S,
Department of Civil, Environmental and Architectural Engineering, �鶹��Ƶ
yizhi.yang@colorado.edu

Collaborators

Resulted Open Source Libraries

This project has developed two open source Modelica libraries:

Press Release

Publications

Journal articles

J. Wang, S. Huang, W. Zuo, D. Vrabie 2021. “Occupant Preference-Aware Load Scheduling for Resilient Communities.” Energy and Buildings, 252, pp. 111399.
S. Huang, J. Wang, Y. Fu, W. Zuo, K. Hinkelman, R. M. Kaiser, D. He, D. Vrabie 2021. “An Open-source Virtual Testbed for a Real Net-Zero Energy Community”. Sustainable Cities and Society, 75, pp. 103255.
Y. Ye, K. Hinkelman, Y. Lou, W. Zuo, G. Wang, G., J. Zhang 2021. "Evaluating the Energy Impact Potential of Energy Efficiency Measures for Retrofit Applications: A Case Study with US Medium Office Buildings." Building Simulation, pp. 1-17.
S, Huang, Y. Ye, Di. Wu, W. Zuo 2021. “An Assessment of Power Flexibility from Commercial Building Cooling Systems in the United States.” Energy, 221, pp. 119571.
Y. Ye, Y. Lou, W. Zuo, E. Franconi, G. Wang 2020. "How Do Electricity Pricing Programs Impact the Selection of Energy Efficiency Measures? - A Case Study with U.S. Medium Office Buildings." Energy and Buildings, 224, pp. 110267.
YY. Ye, Y. Lou, M. Strong, S. Upadhyaya, W. Zuo, G. Wang 2020. "Development of New Baseline Models for U.S. Medium Office Buildings Based on Commercial Buildings Energy Consumption Survey Data." Science and Technology for the Built Environment, 26 (9), pp. 1321-1336.
W. Tian, X. Han, W. Zuo, Q. Wang, Y. Fu, M. Jin 2019. “An Optimization Platform Based on Coupled Indoor Environment and HVAC Simulation and Its Application in Optimal Thermostat Placement.” Energy and Buildings, 199, pp. 342-251.
S. Huang, X. Lu, W. Zuo, X. Zhang, C. Liang 2019. "Model-Based Optimal Operation of Heating Tower Heat Pump Systems." Building and Environment, 160, pp. 106199.
W. Tian, J.W. VanGilder, X. Han, C.M. Healey, M.B. Condor, W. Zuo 2019. “A New Fast Fluid Dynamics Model for Data-Center Floor Plenums.” ASHRAE Transactions, 125, pp. 141-148.
X. Lu, K. Hinkelman, Y. Fu, J. Wang, W. Zuo, Q. Zhang, W. Saad 2019. “An Open Source Modeling Framework for Interdependent Energy-Transportation-Communication Infrastructure in Smart and Connected Communities.” IEEE Access, 7, pp. 55458-55476.
S. Huang, Y. Ye, X. Han, W. Zuo, X. Zhang, L. Jiang 2019. “Performance Evaluation of Heating Tower Heat Pump Systems over the World.” Energy Conversion and Management, 186, pp. 500-515.
S. Huang, W. Zuo, H. Lu, C. Liang, X. Zhang 2019. “Performance Comparison of a Heating Tower Heat Pump and an Air-Source Heat Pump: A Comprehensive Modeling and Simulation Study.” Energy Conversion and Management, 180, pp. 1039-1054.
G. Zhou, Y. Ye, W. Zuo, X. Zhou, X. Xu 2018. “Fast and Efficient Prediction of Finned-Tube Heat Exchanger Performance Using Wet-Dry Transformation Method with Nominal Data.” Applied Thermal Engineering, 145, pp. 133-146.
G. Zhou, Y. Ye, J. Wang, W. Zuo, Y. Fu, X. Zhou 2018. “Modeling Air-to-Air Plate-Fin Heat Exchanger Without Dehumidification.” Applied Thermal Engineering, 143, pp. 137-148.

Conference Proceedings

S. Anbarasu, K. Hinkelman, W. Zuo. 2022. “Tracing the Dependency of Water and Energy in Smart and Connected Communities through a Multi-Domain Modeling Framework.” The 5th International Conference on Building Energy and Environment (COBEE 2022). July 25-29, Montreal, Canada.
Y. Lou, Y. Ye, W. Zuo, J. Zhang 2021. "Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School." Proceeding of the 17th Conference of International Building Performance Simulation Association (Building Simulation 2021), September 1-3, Bruges, Belgium.
J. Wang, K.N. Garifi, K.A. Baker, W. Zuo, Y. Zhang 2020. “Optimal Operation for Resilient Communities Through A Hierarchical Load Scheduling Framework.” 2020 Building Performance Modeling Conference and SimBuild, Virtual Conference, September 29-October 1.
K. Hinkelman, S. Huang, J. Wang, J. Lian, W. Zuo 2019. “Enhancing the Implementation of a First-order Equivalent Thermal Parameter Model to Enable Accurate and Robust Building Thermal Response Prediction.” Proceeding of the 16th Conference of International Building Performance Simulation Association (Building Simulation 2019), September 2-4, Rome, Italy.
W. Tian, J.W. VanGilder, M.B. Condor, X. Han, W. Zuo 2019. “An Accurate Fast Fluid Dynamics Model for Data Center Applications.” The Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm 2019), May 28-31, Las Vegas, NV.
Q. Wang, Y. Pan, Z. Huang, W. Zuo, P. Xu 2018. “A Case Study of Simulation-Based PID Tuning Method for a Room Temperature Controller Using Uncertainty Analysis.” The 4^th Asia Conference of International Building Performance Simulation Association - ASim2018, December 3-5, Hong Kong.
X. Lu, Y. Fu, W. Zuo 2018. “Modeling of Smart Community Infrastructure Accounting for the Interdependencies among Energy, Transportation and Communication Networks.” 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018), pp. 250-257, September 26-28, Chicago, IL.

Presentations

K. Hinkelman 2020 "A Modeling Framework to Evaluate Energy, Transportation, and Communication Interdependence in Smart and Connected Communities", American Modelica Conference 2020, September.

Workshop

J. Wang, S. Huang, W. Zuo 2020 "Cyber-Physical System Modeling using Modelica for Smart and Sustainable Communities", the free workshop on "Cyber-physical System Modeling using Modelica for Smart and Sustainable Communities" on September 18.

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