Performance validation and energy analysis of HVAC systems using simulation

Salsbury, Timothy I.; Diamond, Rick

doi:10.1016/s0378-7788(99)00020-1

Cited by 41 publications

(16 citation statements)

References 3 publications

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“…With the wide deployment of the EMCS in buildings, the dissemination of open protocols such as BACnet has made sensor and control signal information from various components and subsystems in a building more accessible [12]. This makes it possible to use measured data as inputs to the building model in real time.…”

Section: Introductionmentioning

confidence: 99%

A framework for simulation-based real-time whole building performance assessment

Pang

Wetter

Bhattacharya

et al. 2012

Building and Environment

112

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Most commercial buildings do not perform as well in practice as intended by the design and their performances often deteriorate over time. Reasons include faulty construction, malfunctioning equipment, incorrectly configured control systems and inappropriate operating procedures. One approach to addressing this problems is to compare the predictions of an energy simulation model of the building to the measured performance and analyze significant differences to infer the presence and location of faults. This paper presents a framework that allows a comparison of building actual performance and expected performance in real time. The realization of the framework utilized the EnergyPlus, the Building Controls Virtual Test Bed (BCVTB) and the Energy Management and Control System (EMCS) was developed. An EnergyPlus model that represents expected performance of a building runs in real time and reports the predicted building performance at each time step. The BCVTB is used as the software platform to acquire relevant inputs from the EMCS through a BACnet interface and send them to the EnergyPlus and to a database for archiving. A proof-of-concept demonstration is also presented.

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Section: Introductionmentioning

confidence: 99%

A framework for simulation-based real-time whole building performance assessment

Pang

Wetter

Bhattacharya

et al. 2012

Building and Environment

112

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“…Lin et al [9] presented an optimization method and modeling of group energy heating system pipeline and effect of supply water temperature and return water temperature of local heating and cooling system in China according to energy usage. Larsen et al [10] conducted research on heat source facility system performance improvement and optimized control and also conducted simulation analysis of local heating and cooling system pipeline for optimization of group energy heating system supply water temperature, and compared German method and Danish method of group energy heating system modeling analysis [11]. Bojic et al [12] tried to improve system performance by developing an optimizing program for efficient heat supply distribution in group energy heating systems.…”

Section: Introductionmentioning

confidence: 99%

Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature

et al. 2012

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Abstract:In the present study, we have developed an optimal heat supply algorithm which minimizes the heat loss through the distribution pipe line in a group energy apartment. Heating load variation of a group energy apartment building according to the outdoor air temperature was predicted by a correlation obtained from calorimetry measurements of all households in the apartment building. Supply water temperature and mass flow rate were simultaneously controlled to minimize the heat loss rate through the distribution pipe line. A group heating apartment building located in Hwaseong city, Korea, which has 1473 households, was selected as the object building to test the present heat supply algorithm. Compared to the original heat supply system, the present system adopting the proposed control algorithm reduced the heat loss rate by 10.4%.

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“…Updated values of the input variables are acquired dynamically at each step-time. With the wide deployment of Energy Management and Control Systems (EMCS) in buildings and the development of open protocols such as BACnet, the sensor and control signal information from various component and systems in a building is more acccessible (Salsbury et al 2000). This makes it possible to acquire the real-time EnergyPlus dynamic input variables from the EMCS including but not limited to weather data, operation schedules, control set points.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

Pang¹,

Bhattachayra²,

O’Neill³

et al. 2011

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Most commercial buildings do not perform as well in practice as intended by the design and their performances often deteriorate over time. Reasons include faulty construction, malfunctioning equipment, incorrectly configured control systems and inappropriate operating procedures (Haves et al., 2001, Lee et al., 2007. To address this problem, the paper presents a simulation-based whole building performance monitoring tool that allows a comparison of building actual performance and expected performance in real time. The tool continuously acquires relevant building model input variables from existing Energy Management and Control System (EMCS). It then reports expected energy consumption as simulated of EnergyPlus. The Building Control Virtual Test Bed (BCVTB) is used as the software platform to provide data linkage between the EMCS, an EnergyPlus model, and a database. This paper describes the integrated realtime simulation environment. A proof-of-concept demonstration is also presented in the paper.

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Performance validation and energy analysis of HVAC systems using simulation

Cited by 41 publications

References 3 publications

A framework for simulation-based real-time whole building performance assessment

A framework for simulation-based real-time whole building performance assessment

Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature

Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

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