Comparative Analysis of Combined Heating Systems Involving the Use of Renewable Energy for Greenhouse Heating

Lee, Chung-Geon; Cho, Lahoon; Kim, Seok-Jun; Park, Sunyong; Kim, Dae-Hyun

doi:10.3390/en14206603

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…Agriculture is one of the factors that play a significant role in CO 2 emissions [64][65][66]. The continued use of fossil fuels is contributing to severe environmental pollution and the establishment of an abnormal climate [67]. Boyacı [68] stated that if natural gas is used as fuel, less carbon dioxide emissions will be released into the atmosphere than imported coal and heating fuel.…”

Section: Comparison Of Some Parameters Related To Fuel Consumption In...mentioning

confidence: 99%

Determination of the Effect of a Thermal Curtain Used in a Greenhouse on the Indoor Climate and Energy Savings

Boyacı,

Atilgan,

Kocięcka

et al. 2023

Energies

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In order to reduce the impact of outdoor extreme weather events on crop production in winter, energy saving in greenhouses that are regularly heated is of great importance in reducing production costs and carbon footprints. For this purpose, the variations in indoor temperature, relative humidity and dew point temperature in the vertical direction (2 m, 4 m, 5.7 m) of thermal curtains in greenhouses were determined. In addition, depending on the fuel used, the curtains’ effects on heat energy consumption, heat transfer coefficient, carbon dioxide equivalents released to the atmosphere and fuel cost were investigated. To reach this goal, two greenhouses with the same structural features were designed with and without thermal curtains. As a result of the study, the indoor temperature and relative humidity values in the greenhouse with a thermal curtain increased by 1.3 °C and 10% compared to the greenhouse without a thermal curtain. Thermal curtains in the greenhouse significantly reduced fuel use (59.14–74.11 m3·night−1). Considering the heat energy consumption, the average heat energy consumption was 453.7 kWh·night−1 in the greenhouse with a curtain, while it was 568.6 kWh·night−1 in the greenhouse without a curtain. The average heat transfer coefficient (U) values were calculated at 2.87 W·m−2 °C with a thermal curtain and 3.63 W·m−2 °C without a thermal curtain greenhouse. In the greenhouse, closing the thermal curtain at night resulted in heat energy savings of about 21%, related to the decrease in U values. The use of a thermal curtain in the greenhouse reduced the amount of CO2 released to the atmosphere (116.6–146.1 kg·night−1) and fuel cost (USD 21.3–26.7·night−1). To conclude, extreme weather events in the outdoor environment adversely affect the plants grown in greenhouses where cultivation is performed out of season. A thermal curtain, used to reduce these adverse effects and the amount of energy consumed, is essential in improving indoor climate conditions, providing more economical greenhouse management and reducing the CO2 released into the atmosphere due to fuel use.

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Section: Comparison Of Some Parameters Related To Fuel Consumption In...mentioning

confidence: 99%

Determination of the Effect of a Thermal Curtain Used in a Greenhouse on the Indoor Climate and Energy Savings

Boyacı,

Atilgan,

Kocięcka

et al. 2023

Energies

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“…Of note, in the control logic sequence, the thermocouple first senses the temperature of the greenhouse and the heat source tank. The sensed value was compared with the set temperature range of the greenhouse heating and heat source tank to control the pellet boiler and the main heating pump using an on/off control [19]. The water-to-water heat pump allowed the storage tank to be maintained at 57 • C, which is the maximum heating water temperature of the heat pump used in this study.…”

Section: Experimental and Simulation Proceduresmentioning

confidence: 99%

“…Therefore, this study intends to model the actual greenhouse composition with TRNSYS and to verify it by comparing the experimental and predicted values. First, a hybrid heating system (a water-to-water heat pump system using a pellet boiler as a heat source, HPB), developed based on the results of previous studies, was selected as a greenhouse heating system [19]. Note, TRNSYS is a specialized building energy simulation (BES) program for analyzing thermal energy characteristics to predict the internal temperature of a greenhouse [18,20].…”

Section: Introductionmentioning

confidence: 99%

Prediction Model for the Internal Temperature of a Greenhouse with a Water-to-Water Heat Pump Using a Pellet Boiler as a Heat Source Using Building Energy Simulation

et al. 2022

Self Cite

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Although smart farms are considered an alternative to traditional agriculture, they require large amounts of energy and high investment costs, hindering their efficient implementation. In the Republic of Korea, the energy supply is primarily for heating rather than cooling, necessitating the accurate prediction of the greenhouse internal temperature to determine the feasibility of agricultural management while using renewable energy. This study developed a model (TRNSYS) for predicting the internal temperature of a greenhouse using building energy simulation. A greenhouse heating experiment was conducted using a hybrid heating system simulated by TRNSYS to analyze the prediction model. The regression analysis of the experimental and simulation results revealed an R2 and RMSE of 0.8834 and 3.61, respectively. A comparative analysis was conducted with the existing hot air heating system to evaluate the heating performance and economic feasibility of the hybrid system. Overall, the heating performance exhibited satisfactory results, whereas the economic analysis, based on life cycle cost, revealed a cost reduction effect of 9.45%. Hence, greenhouse heating using renewable energy can replace conventional fossil fuels with economic advantages. Moreover, the prediction of the internal temperature of the greenhouse will facilitate the design of a systematic smart farm business to prevent duplicate investment.

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“…More than 85% of this energy comes from fossil fuels like coal, oil, and gas, releasing greenhouse gases leading to global temperature increment [4,5]. According to the world meteorological organization statistics, 2020, with a higher average temperature of 1.2 • C than 1900, was one of the three warmest years on record globally [6]. The most effective and promising strategy for attaining significant greenhouse gas emission reductions is to deploy renewable resources [7,8].…”

Section: Introductionmentioning

confidence: 99%

Design and Parametric Investigation of an Efficient Heating System, an Effort to Obtain a Higher Seasonal Performance Factor

2021

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The present work introduces an innovative yet feasible heating system consisting of a ground source heat pump, borehole thermal energy storage, an auxiliary heater, radiators, and ventilation coils. The concept is developed by designing a new piping configuration monitored by a smart control system to reduce the return flow temperature and increase the temperature differential between the supply and return flows. The radiators and ventilation heating circuits are connected in series to provide the heat loads with the same demand. The investigation of the proposed model is performed through developed Python code considering a case study hospital located in Norway. The article presents, after validation of the primary heating system installed in the hospital, a parametric investigation to evaluate the effect of main operational parameters on the performance metrics of both the heat pump and the total system. According to the results, the evaporator temperature is a significant parameter that considerably impacts the system performance. The parametric study findings show that the heat pumps with a thermal capacity of 400 kW and 600 kW lead to the highest heat pump and total seasonal performance factors, respectively. It is also observed that increasing the heat pump capacity does not affect the performance indicators when the condensation temperature is 40 °C and the heat recovery is 50%. Moreover, choosing a heat pump with a smaller capacity at the heat recovery of 75% (or higher) would be an appropriate option because the seasonal performance values are not varied by changing the heat pump capacity. The results reveal that reducing return temperature under a proper parameters selection results in substantially higher seasonal performance factors of the heat pump and total system. These outcomes are in-line with the United Nations sustainable development goals including Sustainable Cities and Communities.

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Comparative Analysis of Combined Heating Systems Involving the Use of Renewable Energy for Greenhouse Heating

Cited by 8 publications

References 16 publications

Determination of the Effect of a Thermal Curtain Used in a Greenhouse on the Indoor Climate and Energy Savings

Determination of the Effect of a Thermal Curtain Used in a Greenhouse on the Indoor Climate and Energy Savings

Prediction Model for the Internal Temperature of a Greenhouse with a Water-to-Water Heat Pump Using a Pellet Boiler as a Heat Source Using Building Energy Simulation

Design and Parametric Investigation of an Efficient Heating System, an Effort to Obtain a Higher Seasonal Performance Factor

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