Dynamic Simulation and Energy Economic Analysis of a Household Hybrid Ground-Solar-Wind System Using TRNSYS Software

Figaj, Rafał; Żołądek, Maciej; Goryl, Wojciech

doi:10.3390/en13143523

Cited by 20 publications

(13 citation statements)

References 35 publications

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“…There is a set of tools for HES optimization, such as algorithms and software, where each is based on one or hybridization between several approaches (probability, linear programming, fuzzy logic, neural networks, etc.). There is also some software for HES optimization, the most popular being Hybrid, TRNSYS [38], Hybrid2, Homer [39], and HOGA [40]. However, the choice between these tools is considered a real problem.…”

Section: Discussionmentioning

confidence: 99%

Development of an Intelligent Solution for the Optimization of Hybrid Energy Systems

et al. 2022

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This paper presents a proposal for the development of a new intelligent solution for the optimization of hybrid energy systems. This solution is of great importance for installers of hybrid energy systems, as it helps them obtain the best configuration of the hybrid energy system (efficient and less expensive). In this solution, it is sufficient to enter the name of the location of the hybrid energy system that we want to install; after that, the solution will show the name of the best technology from which the optimal configuration of this system can be obtained. To accomplish this goal, the study relied on the ontology approach for two reasons, one of which is related to the nature of hybrid systems, because it is characterized by a large amount of information that requires good structuring, and the second reason is the interaction of hybrid energy systems with the external environment (climate, site characteristics). Afterward, to develop the knowledge base of the ontology, many steps were followed, the first of which is related to a detailed study of the existing one and the extraction of the basic elements, such as the concepts and the relations between them, followed by the development of the rules of intelligent reasoning, which is an interaction between the elements of the ontology through which all possible cases are treated. The “Protégé” software was used to edit these elements and perform the simulation process to show the results of the developed solution. Finally, the paper includes a case study, and the results show the importance of the developed solution, and it is open to future developments.

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Section: Discussionmentioning

confidence: 99%

Development of an Intelligent Solution for the Optimization of Hybrid Energy Systems

et al. 2022

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“…Detailed HVAC system simulations are carried out to assess the effect of high efficiency heat pumps with inverterdriven compressors and advanced control on the building's energy performance. They can be based on software with standard modules, like the DOE-2 [36], or EnergyPlus [37], or on transient simulations [38][39][40][41]. As demonstrated in [42,43], detailed HVAC system simulations enable realistic prediction of a house's heating and cooling energy consumption by use of efficient heat pumps.…”

Section: Methodsmentioning

confidence: 99%

Energy Performance Optimization of a House with Grid-Connected Rooftop PV Installation and Air Source Heat Pump

2021

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The use of air source heat pump systems for space heating and cooling is a convenient retrofitting strategy for reducing building energy costs. This can be combined with the rooftop installation of photovoltaic panels, which can cover, to a significant degree—or even significantly exceed the building’s electricity needs, moving towards the zero energy building concept. Alternatively, increased capacity for rooftop photovoltaic (PV) installation may support the ongoing process of transforming the Greek power system away from the reliance on fossil fuels to potentially become one of the leaders of the energy transition in Europe by 2030. Standard building energy simulation tools allow good assessment of the Heating, Ventilation and Air Conditioning (HVAC) and PV systems’ interactions in transient operation. Further, their use enables the rational sizing and selection of the type of panels type for the rooftop PV installation to maximize the return on investment. The annual performance of a three-zone residential building in Volos, Greece, with an air-to-water heat pump HVAC system and a rooftop PV installation, are simulated in a TRNSYS environment. The simulation results are employed to assess the expected building energy performance with a high performance, inverter driven heat pump with scroll compressor and high efficiency rooftop PV panels. Further, the objective functions are developed for the optimization of the installed PV panels’ area and tilt angle, based on alternative electricity pricing and subsidies. The methodology presented can be adapted to optimize system design parameters for variable electricity tariffs and improve net metering policies.

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“…The on and off of the circulating pump are controlled by the temperature difference between the outlet water temperature of the solar collector and the water temperature in the water tank. This study set this control strategy: when the temperature difference is greater than 5 • C, the solar circulating pump is turned on; when the temperature difference is less than 2 • C, the solar circulating pump will automatically shut down [42][43][44]. The air source heat pump adopted fixed temperature control.…”

Section: Operation Strategiesmentioning

confidence: 99%

Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy

Liu

Yaxing

2020

Energies

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The rapid urbanization in Northwest China highlights the mismatch of increasing energy demand and limited local energy supply. Nevertheless, the remote areas in Northwest China are abundant with rich solar energy resources and land space resource. Therefore, establishing a distributed solar energy system (DSES) is a feasible solution to the energy supply problem in remote Northwest China. Due to the strong fluctuations in the availability of solar energy, operation strategies based on fixed parameters may not ensure optimal operation of DSESs. In this study, dynamic operation strategies that allocate surplus power from photovoltaic panels according to variable ratios were developed in both grid-connected and off-grid scenarios, a joint optimization model for optimizing the design and operation of a DSES was established based on the dynamic operation strategies, and a DSES of a residential building in Shaanxi Province was used as a case study. The analysis results indicate that: (1) The dynamic operation strategy can effectively reduce the operating cost of the DSES in both the grid-connected and off-grid scenarios, and the efficiency of the proposed strategy can be further enhanced by increasing the difference between peak and valley time-of-use electricity prices in the grid-connected scenario; (2) the difference between peak and valley time-of-use electricity prices has a significant impact on the optimal capacity of the batteries in the grid-connected scenario when the dynamic operation strategy is implemented. The greater the difference between peak and valley time-of-use electricity prices, the greater the configured capacity of the batteries; (3) in terms of abandoned photovoltaic power in the off-grid scenario, the three operation strategies considered in this study can be arranged in an ascending order (i.e., strategy B, strategy A, and the dynamic operation strategy). The dynamic operation strategy achieves a reduction of 12.4% in abandoned photovoltaic power compared with strategy A and a reduction of 45.4% compared with strategy B.

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Dynamic Simulation and Energy Economic Analysis of a Household Hybrid Ground-Solar-Wind System Using TRNSYS Software

Cited by 20 publications

References 35 publications

Development of an Intelligent Solution for the Optimization of Hybrid Energy Systems

Development of an Intelligent Solution for the Optimization of Hybrid Energy Systems

Energy Performance Optimization of a House with Grid-Connected Rooftop PV Installation and Air Source Heat Pump

Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy

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