Smart city

Smart and Connected Community (SCC) Library

Anonymous — Sat, 23 Mar 2019 19:06:29 +0000

Smart and Connected Community (SCC) Library Anonymous (not verified) Sat, 03/23/2019 - 13:06

This open source Modelica library contains an integrated modeling framework and component models for designing coupled energy, transportation, and communication systems. The framework features a multi-level, multi-layer, multi-agent (3M) approach in order to enable flexible modeling of the interconnected systems. Various component and system-level models are included as the testbed of future SCCs in order to assess the impact of infrastructure interdependencies during typical operation. This modeling framework can be further extended for various modeling purposes and use cases, such as dynamic modeling and optimization, resilience analysis, and integrated decision making in future connected communities.

Software Download

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

Release Notes

07/28/2020: SCC-Smart-City library V1.1 released.
- Updates the case study models and includes the tutorial models.
03/27/2019: SCC-Smart-City library V1.0 released.
- First release of the library. It contains component and system models supporting city-scale interdependent energy, transportation, and communication system modeling.

Acknowledgement

The SCC library is the outome 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 (Awad No. IIS-1802017). The project website is here.

Related Publications

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.

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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An Innovative Computational Platform for Robust and Optimal Operation of Renewable Energy Cities

Anonymous — Sat, 24 Nov 2018 18:04:00 +0000

An Innovative Computational Platform for Robust and Optimal Operation of Renewable Energy Cities Anonymous (not verified) Sat, 11/24/2018 - 11:04

As international sustainability goals and U.S. sustainability initiatives increase, sustainable energy applications are evolving from the conventional single building to the entire city. A 100% renewable energy city (REC) will undoubtedly play a pivotal role in this progression. The energy system of a REC will integrate many subsystems including renewable energy generation, distribution networks, building energy consumption, electric and thermal storage, and interaction with the power grid.

This proposed project is to create the scientific foundation of an innovative computational platform that will enable robust and optimal operation of future renewable energy cities.

Collaborator: National Renewable Energy Laboratory, Boulder Housing Partners, Amzur Technologies

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Dr. Zuo gave invited speech at “Panel of Current Research: Building Smart, Community-Based Decision-Making”

Anonymous — Sat, 20 Oct 2018 01:16:10 +0000

Dr. Zuo gave invited speech at “Panel of Current Research: Building Smart, Community-Based Decision-Making” Anonymous (not verified) Fri, 10/19/2018 - 19:16

Jing Wang

Dr. Zuo was invited to speak at the “Panel of Current Research: Building Smart, Community-Based Decision-Making” at the Community Building Colorado-Style Conference in Boulder, CO, on October 19. Dr. Zuo gave a presentation titled “Novel Computational Framework for Optimal Planning of Smart, Sustainable, and Connected Communities” and discussed with the participants on how to strengthen the existing collaborations and build new collaborations among the academia, companies, non-profit organizations and governments. For more information about this conference, please see their website.

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SBS Lab's research in a smart city named ZenCity is presented at the Smart Cities Conference

Anonymous — Fri, 24 Feb 2017 21:24:51 +0000

SBS Lab's research in a smart city named ZenCity is presented at the Smart Cities Conference Anonymous (not verified) Fri, 02/24/2017 - 14:24

Jing Wang

School of Architecture, University of Miami News: SBS Lab's research in a smart city named ZenCity is presented at the Smart Cities Conference.

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SEEDS proposal on smart city in collaboration with the Argonne National Laboratory is awarded

Anonymous — Mon, 24 Oct 2016 22:06:28 +0000

SEEDS proposal on smart city in collaboration with the Argonne National Laboratory is awarded Anonymous (not verified) Mon, 10/24/2016 - 16:06

Jing Wang

As the title indicates, our lab's SEEDS proposal on smart city in collaboration with Argonne National Laboratory is awarded.

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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, ��ƷSM��ӰƬ
wangda.zuo@colorado.edu

Graduate Students:

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

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

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

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

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

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

Yizhi Yang, M.S,
Department of Civil, Environmental and Architectural Engineering, ��ƷSM��ӰƬ
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

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Dr. Zuo received a research award on modeling future smart and connected community from the National Science Foundation

Anonymous — Wed, 31 Aug 2016 23:45:05 +0000

Dr. Zuo received a research award on modeling future smart and connected community from the National Science Foundation Anonymous (not verified) Wed, 08/31/2016 - 17:45

Jing Wang

Dr. Zuo received a $443,867 award from the National Science Foundation (Award No. 1633338) for their proposed research titled "BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities". This is a joint research project with Virgian Tech. Congratulations!

Press Releases:

National Science Foundation Award Announcement: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities

National Science Foundation Press Release 15-103: Cultivating Smart and Connected Communities

College of Engineering News: Planning Smart, Sustainable and Connected Communities

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National Science Foundation Award Announcement "Big data analytics for optimized planning of smart, sustainable, and connected communities"

Anonymous — Tue, 30 Aug 2016 15:01:24 +0000

National Science Foundation Award Announcement "Big data analytics for optimized planning of smart, sustainable, and connected communities" Anonymous (not verified) Tue, 08/30/2016 - 09:01

Jing Wang

The National Science Foundation awarded our new research grant "BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities".

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Design “ZenCiti” Smart City in the Yucatán

Anonymous — Mon, 01 Aug 2016 06:00:00 +0000

Design “ZenCiti” Smart City in the Yucatán Anonymous (not verified) Mon, 08/01/2016 - 00:00

[video:https://youtu.be/36rWLXS8Lo4]

The SBS lab is working with School of Architecture, Center of Computaitional Science to create ZenCiti, a “smart city” expected to revolutionize the IT world with its integration of technology into everyday life. The project will be built next to the Yucatán Science and Technology Park (YSTP). The SBS Lab is working on the renewable energy generation and energy infrastructure of ZenCiti. Conventional and innovative technologies will be used. Conventional technologies are overhangs and landscaping, thermal insulation, rooftop PV, green roof, etc. Innovative technologies are automatic shading, distributed energy resources, building integrated photovoltaics, photonic radiatve cooler, etc. The SBS lab aims to make ZenCiti more energy efficient, convenient, and comfortable.

Press release

UM News "UM to Design Smart City in the Yucatan"

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Smart city

Smart and Connected Community (SCC) Library

Software Download

Release Notes

07/28/2020: SCC-Smart-City library V1.1 released.

03/27/2019: SCC-Smart-City library V1.0 released.

Acknowledgement

Related Publications

Presentations

Workshop

Off

An Innovative Computational Platform for Robust and Optimal Operation of Renewable Energy Cities

Off

Dr. Zuo gave invited speech at “Panel of Current Research: Building Smart, Community-Based Decision-Making”

Off

SBS Lab's research in a smart city named ZenCity is presented at the Smart Cities Conference

Off

SEEDS proposal on smart city in collaboration with the Argonne National Laboratory is awarded

Off

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

Project Team

Collaborators

Resulted Open Source Libraries

Press Release

Publications

Journal articles

Conference Proceedings

Presentations

Workshop

Off

Dr. Zuo received a research award on modeling future smart and connected community from the National Science Foundation

Press Releases:

Off

National Science Foundation Award Announcement "Big data analytics for optimized planning of smart, sustainable, and connected communities"

Off

Design “ZenCiti” Smart City in the Yucatán

Press release

Off