Exergy flow of rice production system in Italy: Comparison among nine different varieties

Nikkhah, Amin; Kosari-Moghaddam, Armaghan; Troujeni, Mahdi Esmaeilpour; Bacenetti, Jacopo; Haute, Sam Van

doi:10.1016/j.scitotenv.2021.146718

Cited by 10 publications

(15 citation statements)

References 51 publications

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“…In Figure 8, there is a clear trend of decreasing CDP with increasing LPSP. The higher value of CDP indicates that lower exergy is lost, that is, the exergy performance of the system is higher in the production process [51]. Accordingly, it could be said that the more reliable the system, the less exergy is lost during the production of 1 m3 freshwater by SWROD/WT/BBS.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Kiehbadroudinezhad

Merabet

Hosseinzadeh-Bandbafha

2021

Energies

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This study investigates the use of division algorithms to optimize the size of a desalination system integrated with a microgrid based on a wind turbine plant and the battery storage to supply freshwater based on cost, reliability, and energy losses. Cumulative exergy demand is used to identify and minimize the energy losses in the optimized system. Division algorithms are used to overcome the drawback of low convergence speed encountered by the well-known method genetic algorithm. The findings indicated that there is a positive relationship between cost, cumulative exergy, and reliability. More specifically, when the loss of power supply probability is 10%, compared to when it is 0%, the total cumulative exergy demand and total life cycle cost are reduced by 34.76% when the battery is full and 45.44% when the battery is empty and there is a 44.43% decrease in total life cycle cost, respectively. However, the more reliable system, the less exergy is lost during the production of 1 m3 freshwater by desalination integrated into wind turbine plant.

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Section: Resultsmentioning

confidence: 99%

Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Kiehbadroudinezhad

Merabet

Hosseinzadeh-Bandbafha

2021

Energies

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“…Sorgüven and Ozilgen (2012) estimated the CExC factor for yogurt manufacturing and determined it to be 74,655 MJ for 960 kg unwrapped nonfat yogurt. In the study byNikkhah et al (2021) on different rice varieties, diesel fuel consumption had the highest participation in the CExC index for all varieties except in the Mare.…”

mentioning

confidence: 89%

“…m, h, T 0 , and T k stand for mass, hentalpy, and temperature, respectively. I and S also exhibit the system's irreversibility and enthalpy of the system (Nikkhah et al, 2021;Özilgen & Sorgüven, 2016;Ozilgen et al, 2019;. The term b indicates the flow availability as reported in Equation ( 5):…”

Section: Exergy Flow Assessmentmentioning

confidence: 99%

“…In different researches, the amount of CDP index was calculated. The CDP index in cucumber production is 0.23 , 0.92 and 0.98, respectively, for soybeans and olives (Olea europaea L.) (Özilgen & Sorgüven, 2011), and 7.96 for 'Luna' rice cultivar (Nikkhah et al, 2021). Amiri et al (2020) reported the quantity of CDP for the commercial and traditional canola (Brassica napus L.) systems as 1.8 and 0.28, respectively.…”

Section: Cdp and Ri In Date Productionmentioning

confidence: 99%

“…Cumulative exergy consumption (CExC) is a procedure of assessment in accordance with the concept of exergy. The entire exergy consumed by all inputs in the ultimate product‐generating process is known as CExC (Nikkhah et al., 2021). In the thermodynamic strategy, with CExC, the cumulative degree of perfection (CDP) for crop‐generation processes could be measured.…”

Section: Introductionmentioning

confidence: 99%

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Exergoenvironmental damages assessment in a desert‐based agricultural system: A case study of date production

Hesampour

Hassani²,

Yıldızhan³

et al. 2022

Agronomy Journal

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Developing countries, especially those in hot and dry areas, need more attention to achieve sustainable development as they apply excessive inputs in production processes. The present study aims to quantify the amount of environmental emissions and determine the most appropriate pattern of energy use in the date (Phoenix dactylifera L.) production process using thermodynamic analysis. The information was gathered through questionnaires and face-to-face interviews. From the results, cumulative exergy and energy demand for one Mg of date fruit production were calculated as 697 and 1640 MJ, respectively. Carbon dioxide emission was also measured at 197 kg Mg -1 . Moreover, cumulative exergy consumption illustrated that manure and diesel fuel consumption is high, though diesel fuel and N consumption are given the most cumulative energy demand. Renewability indicator, cumulative degree of perfection, and the recoverable exergy ratio value of the date fruit production process were calculated as 0.62, 2.68, and 4.32, respectively. The date's chemical exergy value was calculated to be 14.96 MJ kg -1 . Dates have a high chemical exergy value because of their high carbohydrate content and low water content. As a result, crop chemical combinations have a direct impact on the production process. The total direct greenhouse gas emissions induced by the inputs consumption were 310.02 kg Mg -1 . Emissions to air, soil, and water were 308.76, 5.60 × 10 −1 and 6.96 × 10 −1 kg Mg -1 . In general, date production in Khuzestan province is partially renewable.

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Application of modeling techniques for energy analysis of fruit production systems

Jargan

Rohani

Kosari-Moghaddam

2021

Environ Dev Sustain

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Exergy flow of rice production system in Italy: Comparison among nine different varieties

Cited by 10 publications

References 51 publications

Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Exergoenvironmental damages assessment in a desert‐based agricultural system: A case study of date production

Application of modeling techniques for energy analysis of fruit production systems

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