A solar thermal driven ORC-VFR system employed in subtropical Mediterranean climatic building

Gilani, Hooman Azad; Hoseinzadeh, Siamak; Esmaeilion, Farbod; Memon, Saim; Garcia, Davide Astiaso; Assad, Mamdouh El Haj

doi:10.1016/j.energy.2022.123819

Cited by 19 publications

(7 citation statements)

References 71 publications

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“…5 The geothermal energy resource (GER), which is the thermal energy under the earth's crust, seems a clean, sustainable, and reliable solution to reduce global warming and is widely available all over the world. 6,7 Generally, there are two main ways of utilization for the GER: direct and indirect. Direct use means using the heat itself for space cooling, heating, and industrial purposes, and the indirect application involves converting the heat into electricity and then utilizing it.…”

Section: Introductionmentioning

confidence: 99%

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Critical review of multigeneration system powered by geothermal energy resource from the energy, exergy, and economic point of views

Azizi

Esmaeilion

Moosavian

et al. 2022

Energy Science & Engineering

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Concerns about greenhouse gas emissions from fossil fuels have made the use of renewable sources the world's most important energy challenge. Among renewable energies, geothermal energy has a special place due to its sustainable resources and shallow environmental impacts. These energy sources are classified as low-grade thermal energy sources, so they cannot independently provide a high amount of thermal energy. Therefore, extensive studies have been conducted on practical methods of using geothermal energy for multigeneration productions. Studies on geothermal energy-based systems to supply energy to various systems such as chillers, electrolyzers, turbines, and desalination units are reviewed in this study. As the methods, scenarios, and practical possibilities of multigenerational system (MGS) are limited, in this study, while expressing the limitations and problems of these systems, the most critical issues raised in this issue are examined and analyzed, and compatibility, products, Levelized cost of energy, energy and exergy efficiencies, and technical issues are summarized. Also, due to the limitations of geothermal energy sources in recent studies, their combination with other renewable energy sources has been evaluated. Therefore, the classification of studies conducted to combine renewable energy sources with the geothermal system to achieve multigeneration productions is thrown in the last part of this study. The results of the studies show that the combination of geothermal energy with other renewable energy sources is used in 90% of cases to provide heat and cold load and in 10% of cases to generate electrical power. These systems also improve energy and exergy efficiency and economic viability by increasing stability.

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Section: Introductionmentioning

confidence: 99%

“…The earth's center has a temperature of 5500°C, the same as the sun's surface temperature 5 . The geothermal energy resource (GER), which is the thermal energy under the earth's crust, seems a clean, sustainable, and reliable solution to reduce global warming and is widely available all over the world 6,7 …”

Section: Introductionmentioning

confidence: 99%

Critical review of multigeneration system powered by geothermal energy resource from the energy, exergy, and economic point of views

Azizi

Esmaeilion

Moosavian

et al. 2022

Energy Science & Engineering

Self Cite

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“…Accordingly, the development of energy-efficient building systems is of great importance, which has been examined by many studies as well as the current paper (Ahmadi-Karvigh et al, 2018; Zanchini and Naldi, 2019). For instance, for a two-story office building in Cyprus, an organic Rankine cycle (ORC) powered by solar thermal collectors is used to power the air conditioning system using a Variable-Refrigerant-Flow (VRF) unit (Gilani et al, 2022). The study revealed that the system could achieve an energy saving of 7700 kWh, which is equal to 97% of the yearly energy demand of the VRF system.…”

Section: Introductionmentioning

confidence: 99%

A multi-energy load prediction of a building using the multi-layer perceptron neural network method with different optimization algorithms

Yan

Zhu

Wang

et al. 2022

Energy Exploration & Exploitation

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Since cooling and heating loads are recognized as key characteristics for evaluating the energy efficiency of buildings, it appears indisputable that they must be predicted and analyzed for residential structures. Accordingly, the multi-layer perceptron neural network is applied for predicting the heating and cooling loads using the experimental dataset. The used dataset is obtained by monitoring the impact of the building's dimensions on energy consumption. To optimize the training process of the multi-layer perceptron neural network, several optimizers are employed. Besides, different statistical performance indicators are considered to see which selected optimizer outperforms the rest in terms of accuracy and authenticity. The obtained results emphasize the remarkable performance of adaptive chaotic grey wolf optimization, which can be used to train the multi-layer perceptron neural network and forecast the buildings’ energy consumption with the highest accuracy. According to the obtained results, the hybrid multi-layer perceptron neural network- adaptive chaotic grey wolf optimization method demonstrates the best performance. The optimum number of neurons in the hidden layer is obtained to be 15. Also, based on the statistical performance indicators, the selected method reveals an R2 of 0.9123 and 0.9419 for cooling and heating loads, respectively.

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“…4 Many forms of solar energy application in buildings have been studied in the existing literature. Gilani and Hoseinzadeh 5 analyzed a power air-conditioning system based on a solar thermal collector-driven organic Rankine cycle for a two-story office building and found the application of solar irradiation could lead to less power demand for air conditioning and less CO 2 emission. Simultaneously, with the support of government policies for renewable energy development, photovoltaic (PV) systems have been widely employed in buildings as a valuable solution for clean production.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic feasibility analysis of demand response scheduling for optimum sizing and operation of a building‐integrated photovoltaic energy system

Zhang

Jiang

Zhang

2022

Intl J of Energy Research

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Summary A building‐integrated photovoltaic energy system (BIPVS) with demand response (DR) is gaining increasing interest in improving building energy consumption to address the imbalance between energy supply and demand. The application of DR in the BIPVS literature lacks consideration of the spatial variability of solar resource distribution. The impact of DR scheduling on the optimum sizing and operation of a BIPVS requires an understanding of how DR can adapt to the uncertain energy generation patterns caused by diverse solar intensity curves. To fill this research gap, an integrated photovoltaic electricity and heating energy system are considered to meet electricity and domestic hot water demands in residential buildings. A DR strategy based on load rescheduling has been illustrated and modeled. To solve the proposed issue of optimum sizing and operation, a two‐stage optimization method has been developed to minimize the cost of energy (COE). Furthermore, after the selection of four typical cities in China as potential locations for system deployment, eight scenarios based on four different solar intensity curves without and with DR are investigated and compared. The results show that the DR scheduling has been shifted towards the availability of irradiance to form a load peak at the same time as the peak solar radiation, which increases the direct consumption of photovoltaic generation and inhibits the battery dispatch. In comparison with each scenario, DR has great potential in economic performance and leads to a slight reduction in photovoltaic penetration rate. It has been observed that DR can decrease the COE with an average saving of $0.0052/kWh and a maximum reduction rate of 11.1%, while significantly reducing the battery size by 92.9% on average.

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A solar thermal driven ORC-VFR system employed in subtropical Mediterranean climatic building

Cited by 19 publications

References 71 publications

Critical review of multigeneration system powered by geothermal energy resource from the energy, exergy, and economic point of views

Critical review of multigeneration system powered by geothermal energy resource from the energy, exergy, and economic point of views

A multi-energy load prediction of a building using the multi-layer perceptron neural network method with different optimization algorithms

Techno‐economic feasibility analysis of demand response scheduling for optimum sizing and operation of a building‐integrated photovoltaic energy system

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