Evaluation of Combined Solar Thermal Heat Pump Systems Using Dynamic System Simulations

Lerch, Werner; Heinz, Andreas; Heimrath, Richard

doi:10.1016/j.egypro.2014.02.070

Cited by 17 publications

(3 citation statements)

References 4 publications

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“…Several studies (e.g. Lerch et al 2014, MacDonald et al 2015, de Silva and Knabe 2003 developed HIL simulation facilities based on TRNSYS and LabVIEW (National Instruments 2017). In the work by de Silva and Knabe ( 2003), a boiler and its controller were used as the hardware while TRNSYS was used to simulate boiler operating conditions in a house to evaluate the boiler control method.…”

Section: Hil Simulation For System Synthesismentioning

confidence: 99%

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An agent-based hardware-in-the-loop simulation framework for building controls

Huang

Wang

Brambley

et al. 2018

Energy and Buildings

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In general, a hardware-in-the-loop (HIL) building simulation has lower cost and fewer practical limitations (e.g., scheduling issues) than field tests in occupied buildings, while also overcoming limitations of simulations alone by capturing the full behavior of some physical systems, equipment, and components. However, the implementation of an HIL can be difficult due to the scarcity of appropriate tools. This paper presents an agent-based framework for HIL simulation. It can be used for investigation of controller performance via controller-in-the-loop simulations and also HIL for system synthesis. In the latter case, both controllers and major equipment participate in tests to ensure that dynamics of equipment operation are correctly captured in addition to controller performance. The HIL simulation framework presented allows such actual physical parts to be included in the framework while representing others for which behaviors are better known and modeled in simulation models. The mechanism implemented in the framework to synchronize simulations in software with real-time operation of physical equipment is described. As an example, use of the HIL simulation framework is illustrated through a brief study of speed control of the supply fan in the air handling unit of a variable-air-volume building heating, ventilating and air-conditioning system.

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Section: Hil Simulation For System Synthesismentioning

confidence: 99%

“…A new TRNSYS type was developed to slow the simulation to real time and to communicate with LabVIEW. Lerch et al (2014) evaluated heat pump performance under simulated operating conditions that the heat pump may be subjected to in the field. A new TRNSYS type was developed to interface with LabVIEW.…”

Section: Hil Simulation For System Synthesismentioning

confidence: 99%

An agent-based hardware-in-the-loop simulation framework for building controls

Huang

Wang

Brambley

et al. 2018

Energy and Buildings

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“…In parallel coupling, the heat pump receives heat from ambient environment and the energy produced by the solar collector is directly provided to the relevant application [10]. In serial coupling, the solar energy is solely provided to the heat pump evaporator, whereas in a mixed coupling the evaporator is designed to receive heat from solar collectors as well as from ambient environment depending on surrounding conditions [11].…”

Section: Solar Collectors and Heatmentioning

confidence: 99%

Mathematical Modeling of Dual Intake Transparent Transpired Solar Collector

Semenou

Rousse

Lostec

et al. 2015

Mathematical Problems in Engineering

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Nowadays, in several types of commercial or institutional buildings, a significant rise of transpired solar collectors used to preheat the fresh air of the building can be observed. Nevertheless, when the air mass flow rate is low, the collector efficiency collapses and a large amount of energy remains unused. This paper presents a simple yet effective mathematical model of a transparent transpired solar collector (TTC) with dual intake in order to remove stagnation problems in the plenum and ensure a better thermal efficiency and more heat recovery. A thermal model and a pressure loss model were developed. Then, the combined model was validated with experimental data from the Solar Rating and Certification Corporation (SRCC). The results show that the collector efficiency can be up to 70% and even 80% regardless of operating conditions. The temperature gain is able to reach 20 ∘ K when the solar irradiation is high.

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