The Experts below are selected from a list of 20460 Experts worldwide ranked by ideXlab platform

Yang Lina - One of the best experts on this subject based on the ideXlab platform.

  • Integrated platform for whole building HVAC system automation and simulation.
    2018
    Co-Authors: Yang Lina, Yuhui Kuang, Yuan Yuan, Ding Jinlei, Yonghua Zhu
    Abstract:

    Integrated optimal control strategies can not only reduce the overall building HVAC system energy consumption but also improve indoor air quality to ensure the economical and comfortable daily operation of buildings. However, normally it is hard to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment. It is both very complex and time consuming because: 1) significant effort is required to develop the system steady-state or dynamic model from building and HVAC system design specifications that are typically in 2D or 3D drawings; 2) the building HVAC control strategies are designed and implemented in Building Automation System (BAS) that does not readily connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation and its implementation in a real use case. Firstly, building information from a Revit BIM model is automatically parsed to a building energy model in EnergyPlus. Secondly, a HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Thirdly, HVAC control algorithms developed in WebCTRL® system, a BAS by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected through the embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-Deployment process and ensure the quality delivery of complex systems with innovative control strategies. A real case study for a chiller plant system in a hotel building was conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the value of identifying both HVAC automation system control design issues and improvement opportunities for integrated optimal controls prior to on-Site Deployment. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its ‘digital twin’ that enables future continuous monitoring and fault detection.

  • Integrated Platform for Whole Building HVAC System Automation and Simulation
    'Purdue University (bepress)', 2018
    Co-Authors: Yang Lina, Yuan Yuan, Ding Jinlei, Kuang Yuhui, Zhu Yonghua
    Abstract:

    Integrated optimal control strategies can reduce the overall building HVAC system energy consumption as well as improved air quality resulting in improved health and cognitive function for the occupants. However, it is time consuming to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment, because: 1) the building and HVAC system design specs are in 2D or 3D drawings that require significant efforts to develop the system steady state or dynamic models based on them; 2) the building HVAC control strategies are designed and implemented in building automation (BA) system that could not smoothly connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation as well as its implementation in a real case. First, building information from a Revit BIM model is automatically parsed to an EnergyPlus building energy model. Second, the HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Third, the HVAC controls are developed in WebCTRL, a building HVAC automation system by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected with embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. A real case study, a chiller plant system in a hotel building, is conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the values in identifying both HVAC automation system design-intended control issues and improvement areas for integrated optimal controls. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-market process and ensure the delivering quality. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its “digital twin” that empowers the system fault detection, diagnostics and predictive maintenance

Mads Sorensen - One of the best experts on this subject based on the ideXlab platform.

  • coverage and capacity analysis of sigfox lora gprs and nb iot
    Vehicular Technology Conference, 2017
    Co-Authors: Benny Vejlgaard, Mads Lauridsen, Huan Nguyen, Istvan Z Kovacs, Preben Mogensen, Mads Sorensen
    Abstract:

    In this paper the coverage and capacity of SigFox, LoRa, GPRS, and NB-IoT is compared using a real Site Deployment covering 8000 km2 in Northern Denmark. Using the existing Telenor cellular Site grid it is shown that the four technologies have more than 99 % outdoor coverage, while GPRS is challenged for indoor coverage. Furthermore, the study analyzes the capacity of the four technologies assuming a traffic growth from 1 to 10 IoT device per user. The conclusion is that the 95 %-tile uplink failure rate for outdoor users is below 5 % for all technologies. For indoor users only NB-IoT provides uplink and downlink connectivity with less than 5 % failure rate, while SigFox is able to provide an unacknowledged uplink data service with about 12 % failure rate. Both GPRS and LoRa struggle to provide sufficient indoor coverage and capacity.

Zhu Yonghua - One of the best experts on this subject based on the ideXlab platform.

  • Integrated Platform for Whole Building HVAC System Automation and Simulation
    'Purdue University (bepress)', 2018
    Co-Authors: Yang Lina, Yuan Yuan, Ding Jinlei, Kuang Yuhui, Zhu Yonghua
    Abstract:

    Integrated optimal control strategies can reduce the overall building HVAC system energy consumption as well as improved air quality resulting in improved health and cognitive function for the occupants. However, it is time consuming to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment, because: 1) the building and HVAC system design specs are in 2D or 3D drawings that require significant efforts to develop the system steady state or dynamic models based on them; 2) the building HVAC control strategies are designed and implemented in building automation (BA) system that could not smoothly connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation as well as its implementation in a real case. First, building information from a Revit BIM model is automatically parsed to an EnergyPlus building energy model. Second, the HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Third, the HVAC controls are developed in WebCTRL, a building HVAC automation system by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected with embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. A real case study, a chiller plant system in a hotel building, is conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the values in identifying both HVAC automation system design-intended control issues and improvement areas for integrated optimal controls. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-market process and ensure the delivering quality. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its “digital twin” that empowers the system fault detection, diagnostics and predictive maintenance

Yonghua Zhu - One of the best experts on this subject based on the ideXlab platform.

  • Integrated platform for whole building HVAC system automation and simulation.
    2018
    Co-Authors: Yang Lina, Yuhui Kuang, Yuan Yuan, Ding Jinlei, Yonghua Zhu
    Abstract:

    Integrated optimal control strategies can not only reduce the overall building HVAC system energy consumption but also improve indoor air quality to ensure the economical and comfortable daily operation of buildings. However, normally it is hard to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment. It is both very complex and time consuming because: 1) significant effort is required to develop the system steady-state or dynamic model from building and HVAC system design specifications that are typically in 2D or 3D drawings; 2) the building HVAC control strategies are designed and implemented in Building Automation System (BAS) that does not readily connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation and its implementation in a real use case. Firstly, building information from a Revit BIM model is automatically parsed to a building energy model in EnergyPlus. Secondly, a HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Thirdly, HVAC control algorithms developed in WebCTRL® system, a BAS by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected through the embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-Deployment process and ensure the quality delivery of complex systems with innovative control strategies. A real case study for a chiller plant system in a hotel building was conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the value of identifying both HVAC automation system control design issues and improvement opportunities for integrated optimal controls prior to on-Site Deployment. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its ‘digital twin’ that enables future continuous monitoring and fault detection.

Ding Jinlei - One of the best experts on this subject based on the ideXlab platform.

  • Integrated platform for whole building HVAC system automation and simulation.
    2018
    Co-Authors: Yang Lina, Yuhui Kuang, Yuan Yuan, Ding Jinlei, Yonghua Zhu
    Abstract:

    Integrated optimal control strategies can not only reduce the overall building HVAC system energy consumption but also improve indoor air quality to ensure the economical and comfortable daily operation of buildings. However, normally it is hard to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment. It is both very complex and time consuming because: 1) significant effort is required to develop the system steady-state or dynamic model from building and HVAC system design specifications that are typically in 2D or 3D drawings; 2) the building HVAC control strategies are designed and implemented in Building Automation System (BAS) that does not readily connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation and its implementation in a real use case. Firstly, building information from a Revit BIM model is automatically parsed to a building energy model in EnergyPlus. Secondly, a HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Thirdly, HVAC control algorithms developed in WebCTRL® system, a BAS by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected through the embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-Deployment process and ensure the quality delivery of complex systems with innovative control strategies. A real case study for a chiller plant system in a hotel building was conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the value of identifying both HVAC automation system control design issues and improvement opportunities for integrated optimal controls prior to on-Site Deployment. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its ‘digital twin’ that enables future continuous monitoring and fault detection.

  • Integrated Platform for Whole Building HVAC System Automation and Simulation
    'Purdue University (bepress)', 2018
    Co-Authors: Yang Lina, Yuan Yuan, Ding Jinlei, Kuang Yuhui, Zhu Yonghua
    Abstract:

    Integrated optimal control strategies can reduce the overall building HVAC system energy consumption as well as improved air quality resulting in improved health and cognitive function for the occupants. However, it is time consuming to quantitatively evaluate the design-intended building HVAC automation system performance before on-Site Deployment, because: 1) the building and HVAC system design specs are in 2D or 3D drawings that require significant efforts to develop the system steady state or dynamic models based on them; 2) the building HVAC control strategies are designed and implemented in building automation (BA) system that could not smoothly connect with the building HVAC system steady state or dynamic models for performance evaluation through close-loop simulation. This paper presents the tool chain of an integrated simulation platform for building HVAC system automation and simulation as well as its implementation in a real case. First, building information from a Revit BIM model is automatically parsed to an EnergyPlus building energy model. Second, the HVAC system model is quickly populated with a scalable HVAC system library in Dymola. Third, the HVAC controls are developed in WebCTRL, a building HVAC automation system by Automated Logic Corporation (ALC). Finally, both the building energy model and HVAC system model are wrapped up as Functional Mock-up Units (FMU) and connected with embedded simulator in WebCTRL to perform close-loop building automation system performance simulation. A real case study, a chiller plant system in a hotel building, is conducted to verify the scalability and benefit of the developed tool chain. The case study demonstrates the values in identifying both HVAC automation system design-intended control issues and improvement areas for integrated optimal controls. This platform enables testing of building HVAC control strategies before on-Site Deployment, which reduces the labor and time required for building HVAC control development-to-market process and ensure the delivering quality. Furthermore, this platform can be calibrated with metered real-time data from the specific building HVAC system and serve as its “digital twin” that empowers the system fault detection, diagnostics and predictive maintenance