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Dr. Amin Nikkhah
Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium

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0 Circular
0 Food
0 Modeling
0 life cycle assessment (LCA)
0 Circular bioecomy

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life cycle assessment (LCA)
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Short Biography

Amin Nikkhah currently works in the Department of Environmental Technology, Food Technology and Molecular Biotechnology at Ghent University Global Campus. His current research interests are life cycle assessment (LCA) and circular economy.

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Journal article
Published: 07 July 2021 in Scientific Reports
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Because it is important to develop new sustainable sources of edible protein, insects have been recommended as a new protein source. This study applied Life Cycle Assessment (LCA) to investigate the environmental impact of small-scale edible insect production unit in South Korea. IMPACT 2002 + was applied as the baseline impact assessment (IA) methodology. The CML-IA baseline, EDIP 2003, EDP 2013, ILCD 2011 Midpoint, and ReCiPe midpoint IA methodologies were also used for LCIA methodology sensitivity analysis. The protein, fat contents, and fatty acid profile of the investigated insect (Protaetia brevitarsis seulensis larvae) were analyzed to determine its potential food application. The results revealed that the studied edible insect production system has beneficial environmental effects on various impact categories (ICs), i.e., land occupation, mineral extraction, aquatic and terrestrial ecotoxicity, due to utilization of bio-waste to feed insects. This food production system can mitigate the negative environmental effects of those ICs, but has negative environmental impact on some other ICs such as global warming potential. By managing the consumption of various inputs, edible insects can become an environmentally efficient food production system for human nutrition.

ACS Style

Amin Nikkhah; Sam Van Haute; Vesna Jovanovic; Heejung Jung; Jo Dewulf; Tanja Cirkovic Velickovic; Sami Ghnimi. Life cycle assessment of edible insects (Protaetia brevitarsis seulensis larvae) as a future protein and fat source. Scientific Reports 2021, 11, 1 -11.

AMA Style

Amin Nikkhah, Sam Van Haute, Vesna Jovanovic, Heejung Jung, Jo Dewulf, Tanja Cirkovic Velickovic, Sami Ghnimi. Life cycle assessment of edible insects (Protaetia brevitarsis seulensis larvae) as a future protein and fat source. Scientific Reports. 2021; 11 (1):1-11.

Chicago/Turabian Style

Amin Nikkhah; Sam Van Haute; Vesna Jovanovic; Heejung Jung; Jo Dewulf; Tanja Cirkovic Velickovic; Sami Ghnimi. 2021. "Life cycle assessment of edible insects (Protaetia brevitarsis seulensis larvae) as a future protein and fat source." Scientific Reports 11, no. 1: 1-11.

Journal article
Published: 22 June 2021 in Scientific Reports
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The energy balance and life cycle assessment (LCA) of ohmic heating and appertization systems for processing of chopped tomatoes with juice (CTwJ) were evaluated. The data included in the study, such as processing conditions, energy consumption, and water use, were experimentally collected. The functional unit was considered to be 1 kg of packaged CTwJ. Six LCA impact assessment methodologies were evaluated for uncertainty analysis of selection of the impact assessment methodology. The energy requirement evaluation showed the highest energy consumption for appertization (156 kWh/t of product). The energy saving of the ohmic heating line compared to the appertization line is 102 kWh/t of the product (or 65% energy saving). The energy efficiencies of the appertization and ohmic heating lines are 25% and 77%, respectively. Regarding the environmental impact, CTwJ processing and packaging by appertization were higher than those of ohmic heating systems. In other words, CTwJ production by the ohmic heating system was more environmentally efficient. The tin production phase was the environmental hotspot in packaged CTwJ production by the appertization system; however, the agricultural phase of production was the hotspot in ohmic heating processing. The uncertainty analysis results indicated that the global warming potential for appertization of 1 kg of packaged CTwJ ranges from 4.13 to 4.44 kg CO2eq. In addition, the global warming potential of the ohmic heating system ranges from 2.50 to 2.54 kg CO2eq. This study highlights that ohmic heating presents a great alternative to conventional sterilization methods due to its low environmental impact and high energy efficiency.

ACS Style

Sami Ghnimi; Amin Nikkhah; Jo Dewulf; Sam Van Haute. Life cycle assessment and energy comparison of aseptic ohmic heating and appertization of chopped tomatoes with juice. Scientific Reports 2021, 11, 1 -12.

AMA Style

Sami Ghnimi, Amin Nikkhah, Jo Dewulf, Sam Van Haute. Life cycle assessment and energy comparison of aseptic ohmic heating and appertization of chopped tomatoes with juice. Scientific Reports. 2021; 11 (1):1-12.

Chicago/Turabian Style

Sami Ghnimi; Amin Nikkhah; Jo Dewulf; Sam Van Haute. 2021. "Life cycle assessment and energy comparison of aseptic ohmic heating and appertization of chopped tomatoes with juice." Scientific Reports 11, no. 1: 1-12.

Journal article
Published: 11 March 2021 in Foods
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Valorization of food waste is a potential strategy toward a circular food supply chain. In this regard, measuring the circularity of food waste valorization systems is highly important to better understand multiple environmental impacts. Therefore, this study investigated the circularity of a food waste valorization system (refining oil from olive kernel) using a life cycle assessment methodology. An inventory of an industrial-based olive kernel oil production system is also provided in this study. The system boundary was the cradle to the factory gate of the production system. The results indicated that natural gas consumption was the highest contributor to most of the investigated impact categories. The global warming potential of one kg of oil produced from olive kernel was calculated to be 1.37 kg CO2eq. Moreover, the calculated damages of 1 kg oil production from olive kernel to human health, ecosystem quality, and resource depletion were 5.29 × 10−7 DALY, 0.12 PDF∙m2∙yr., and 24.40 MJ, respectively.

ACS Style

Amin Nikkhah; Saeed Firouzi; Keyvan Dadaei; Sam Van Haute. Measuring Circularity in Food Supply Chain Using Life Cycle Assessment; Refining Oil from Olive Kernel. Foods 2021, 10, 590 .

AMA Style

Amin Nikkhah, Saeed Firouzi, Keyvan Dadaei, Sam Van Haute. Measuring Circularity in Food Supply Chain Using Life Cycle Assessment; Refining Oil from Olive Kernel. Foods. 2021; 10 (3):590.

Chicago/Turabian Style

Amin Nikkhah; Saeed Firouzi; Keyvan Dadaei; Sam Van Haute. 2021. "Measuring Circularity in Food Supply Chain Using Life Cycle Assessment; Refining Oil from Olive Kernel." Foods 10, no. 3: 590.

Journal article
Published: 18 January 2021 in Science of The Total Environment
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Biofuel generation from local biomass resources can significantly contribute to greenhouse gas mitigation and cleaner energy production. In this regard, a hybrid Multi-Criteria Decision-Making (MCDM) approach was employed to prioritize appropriate biomass resources for biofuel production. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Additive Ratio Assessment (ARAS), and Weighted Aggregates Sum Product Assessment (WASPAS) were the employed MCDM approaches. Subsequently, ranking aggregation methods, i.e., Borda, Copeland, and Rank Mean, were applied to integrate the rankings obtained from the MCDM approaches. Guilan province of Iran was selected as a case study based on its promising potential for biofuel production from first-, second-, and third-generation biofuel resources. Initially, through an in-depth review of the literature and the use of academic professors' expert opinions, ten criteria were selected as the evaluation indices of the study: 1) creating technical side jobs, 2) preserving non-renewable energy resources, 3) relative advantage of biofuel production, 4) complexity of biofuel production process, 5) cost of the biomass conversion process, 6) biomass reusability, 7) cost of biomass supply, 8) environmental impacts of biomass accumulation, 9) adaptability of the biofuel production process to the size of biomass production units and the attitude and knowledge of the producers, and 10) energy self-sufficiency of the biomass producer. Moreover, the 11 investigated potential sources of biofuel production were rice, peanut, livestock and poultry wastes, rice waste, peanut waste, tea residues and its processing wastes, olive residues and its processing wastes, livestock and poultry slaughter and farm-raised fish wastes, municipal solid waste and sewage, forest and wood farming wastes, algae and Azolla. The results indicated that “municipal solid wastes and sewage”, “forest and wood farming wastes” and “livestock and poultry wastes” from the second-generation biofuels were identified as the most important biomass resources in the studied area.

ACS Style

Saeed Firouzi; Mohammad Sadegh Allahyari; Mohammadreza Isazadeh; Amin Nikkhah; Sam Van Haute. Hybrid multi-criteria decision-making approach to select appropriate biomass resources for biofuel production. Science of The Total Environment 2021, 770, 144449 .

AMA Style

Saeed Firouzi, Mohammad Sadegh Allahyari, Mohammadreza Isazadeh, Amin Nikkhah, Sam Van Haute. Hybrid multi-criteria decision-making approach to select appropriate biomass resources for biofuel production. Science of The Total Environment. 2021; 770 ():144449.

Chicago/Turabian Style

Saeed Firouzi; Mohammad Sadegh Allahyari; Mohammadreza Isazadeh; Amin Nikkhah; Sam Van Haute. 2021. "Hybrid multi-criteria decision-making approach to select appropriate biomass resources for biofuel production." Science of The Total Environment 770, no. : 144449.

Review
Published: 05 March 2020 in Bioresource Technology Reports
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This study is a comparative evaluation of three approaches to biofuel production from energy crops including biogas, bioethanol and biodiesel to ascertain which one is the most effective and more energy-efficient than the others. Moreover, the potential of biofuel production from the best option was studied. For this purpose, biogas generation from corn silage, bioethanol generation from corn, and biodiesel production from peanuts in Iran (as a case study) were studied. The results revealed that 10,683.36 m3 of biogas, 2.53 m3 of bioethanol and 0.70 m3 of biodiesel could be produced per each hectare of energy crops. The total greenhouse gas emissions for each MJ energy generation of biogas, bioethanol and biodiesel were 0.01, 0.04 and 0.03 kgCO2eq, respectively. Accordingly, the total annual biogas potential from corn silage (as the best option) in Iran is 3953.74 million m3, which is equivalent to 1515.94 million barrels of oil.

ACS Style

Amin Nikkhah; Mamdouh El Haj Assad; Kurt A. Rosentrater; Sami Ghnimi; Sam Van Haute. Comparative review of three approaches to biofuel production from energy crops as feedstock in a developing country. Bioresource Technology Reports 2020, 10, 100412 .

AMA Style

Amin Nikkhah, Mamdouh El Haj Assad, Kurt A. Rosentrater, Sami Ghnimi, Sam Van Haute. Comparative review of three approaches to biofuel production from energy crops as feedstock in a developing country. Bioresource Technology Reports. 2020; 10 ():100412.

Chicago/Turabian Style

Amin Nikkhah; Mamdouh El Haj Assad; Kurt A. Rosentrater; Sami Ghnimi; Sam Van Haute. 2020. "Comparative review of three approaches to biofuel production from energy crops as feedstock in a developing country." Bioresource Technology Reports 10, no. : 100412.

Articles
Published: 18 October 2019 in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
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Iran is the fourth biggest producer of crude oil and natural gas in the world. Meanwhile, this country is the largest CO2 emitter among the Middle East countries and 99% of energy in this country is produced from nonrenewable-based resources. Nevertheless, Iran has a promising potential to generate energy from its renewable resources such as biomass. Therefore, renewable energy generation can contribute to increasing the renewable energy share in the country’s energy generation and mitigating the environmental impacts. Thus, the aim of this research was to evaluate the second generation biofuel production potential in Guilan province (as one of the important agricultural areas in the region) of Iran. In this research, energy generation from cow manure, poultry manure, municipal solid wastes, rice wastes, and peanut wastes were studied. The results showed that the total energy generation from second-generation biomass resources in Guilan province of Iran was 76,523,985.50 GJ year−1. The yearly potential of energy generation from cow manure, poultry manure, municipal solid wastes, rice wastes, and peanut wastes were 2,284,529, 352,138, 648,523, 73,238,768, and 27 GJ, respectively. In conclusion, there is a remarkable potential to generate energy from second-generation biomass resources in Guilan province of Iran.

ACS Style

Amin Nikkhah; Iraj Bagheri; Constantinos Psomopoulos; Seyed Hossein Payman; Hemad Zareiforoush; Mamdouh El Haj Assad; Adel Bakhshipour; Sami Ghnimi. Sustainable second-generation biofuel production potential in a developing country case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2019, 1 -14.

AMA Style

Amin Nikkhah, Iraj Bagheri, Constantinos Psomopoulos, Seyed Hossein Payman, Hemad Zareiforoush, Mamdouh El Haj Assad, Adel Bakhshipour, Sami Ghnimi. Sustainable second-generation biofuel production potential in a developing country case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2019; ():1-14.

Chicago/Turabian Style

Amin Nikkhah; Iraj Bagheri; Constantinos Psomopoulos; Seyed Hossein Payman; Hemad Zareiforoush; Mamdouh El Haj Assad; Adel Bakhshipour; Sami Ghnimi. 2019. "Sustainable second-generation biofuel production potential in a developing country case study." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , no. : 1-14.

Review article
Published: 14 October 2019 in Current Opinion in Environmental Science & Health
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Energy auditing, modeling, and optimization are the important tools which can be considered toward achieving a sustainable food supply chain (FSC). In this regard, energy modeling and optimization have become a hot topic in the food sector, and thus, several mathematical and computational intelligent-based systems have been applied to model and optimize the energy flows of FSC. This study briefly reviewed the widely used mathematical (multiple linear regressions and data envelopment analysis) and computational intelligent-based (artificial neural networks, adaptive neuro fuzzy inference systems, and genetic algorithm) approaches for modeling and optimization of the energy flow in FSC. On basis of the literature review, it can be inferred that computational intelligent-based approaches could better model and optimize the energy flows than mathematical approaches, and the performance of computational intelligent-based systems showed that this approach can be generally applicable for modeling and optimizing energy flows of FSC.

ACS Style

Amin Nikkhah; Sam Van Haute. Energy flow modeling and optimization trends in food supply chain: a mini review. Current Opinion in Environmental Science & Health 2019, 13, 16 -22.

AMA Style

Amin Nikkhah, Sam Van Haute. Energy flow modeling and optimization trends in food supply chain: a mini review. Current Opinion in Environmental Science & Health. 2019; 13 ():16-22.

Chicago/Turabian Style

Amin Nikkhah; Sam Van Haute. 2019. "Energy flow modeling and optimization trends in food supply chain: a mini review." Current Opinion in Environmental Science & Health 13, no. : 16-22.

Journal article
Published: 29 November 2018 in Environmental Progress & Sustainable Energy
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ACS Style

Amin Nikkhah; Abbas Rohani; Kurt A. Rosentrater; Mamdouh El Haj Assad; Sami Ghnimi. Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows. Environmental Progress & Sustainable Energy 2018, 38, 1 .

AMA Style

Amin Nikkhah, Abbas Rohani, Kurt A. Rosentrater, Mamdouh El Haj Assad, Sami Ghnimi. Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows. Environmental Progress & Sustainable Energy. 2018; 38 (4):1.

Chicago/Turabian Style

Amin Nikkhah; Abbas Rohani; Kurt A. Rosentrater; Mamdouh El Haj Assad; Sami Ghnimi. 2018. "Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows." Environmental Progress & Sustainable Energy 38, no. 4: 1.

Research article
Published: 17 September 2018 in Environmental Science and Pollution Research
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Sustainable development of food production depends on damping the environmental impacts of agricultural production. The aim of this study was to investigate the environmental performance of rice production in single crop and ratooning (main rice + ratoon crop) agro-systems through life cycle assessment (LCA) methodology in Guilan province, Northern Iran, in 2015. The flooding irrigation regime was the dominant irrigation method for single cropping system and main crop rising in ratooning agro-system. The data were gathered through a face to face interview with 215 single crop and 115 ratoon breeder paddy farmers. The environmental risks were determined in six impact categories including global warming, terrestrial eutrophication, acidification, and depletion of fossil fuels, phosphate, and potash resources. The functional unit (FU) was set as 100 kg protein. Results indicated that the CO2, N2O, and CH4 emissions of the rice ratooning agro-system (661.44, 1.96, and 5.42 kg 100 kg−1 protein) were less than the corresponding values in the rice single cropping agro-system (1341.63, 2.88, and 9.20 kg 100 kg−1 protein, respectively). Among all the environmental impact categories, the terrestrial eutrophication had the widest negative environmental effect followed by depletion of phosphate resources in single cropping agro-system with weighted indices of 0.51 and 0.41, respectively. Moreover, the terrestrial eutrophication had the largest negative environmental effect followed by acidification in rice ratooning agro-system with weighted indices of 0.48 and 0.29, respectively. Overall, the results highlighted that the rice ratooning ago-system is more environmentally beneficial than the single cropping system, particularly in terms of depletion of fossil fuels, global warming, and depletion of phosphate and potash resources categories. This priority may be improved through adopting proper management of agronomic practices for main and ratoon rice in ratooning agro-system.

ACS Style

Saeed Firouzi; Amin Nikkhah; Hashem Aminpanah. Rice single cropping or ratooning agro-system: which one is more environment-friendly? Environmental Science and Pollution Research 2018, 25, 32246 -32256.

AMA Style

Saeed Firouzi, Amin Nikkhah, Hashem Aminpanah. Rice single cropping or ratooning agro-system: which one is more environment-friendly? Environmental Science and Pollution Research. 2018; 25 (32):32246-32256.

Chicago/Turabian Style

Saeed Firouzi; Amin Nikkhah; Hashem Aminpanah. 2018. "Rice single cropping or ratooning agro-system: which one is more environment-friendly?" Environmental Science and Pollution Research 25, no. 32: 32246-32256.

Article
Published: 01 September 2018 in Environmental Progress & Sustainable Energy
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Iran is among the ten countries which has the largest share of CO2 emission and also has the highest amount among the Middle East countries. However, the agricultural sector in Iran is one of the major emitters of some greenhouse gas emissions, such as nitrous oxide. Therefore, this work aimed to study the environmental impacts of agricultural production in Iran and determine the impact category with the highest potential for the environmental damage in this region for the period of 2007–2014. For this purpose, the three impact categories of global warming potential (GWP), acidification potential (AP) and terrestrial eutrophication potential (TEP) were selected to be evaluated through Life Cycle Assessment (LCA) methodology. The results showed that the characterization indices of GWP, AP, and TEP impact categories for agricultural sector in Iran were 20,405,789 tonnes CO2eq, 303,145 tonnes SO2eq and 640,340 tonnes NOxeq, respectively for the year of 2014. For the period in question, agriculture accounted for 4%, 12%, and 26% of the GWP, AP and TEP impact categories in Iran, respectively. Overall, the TEP impact category had the greatest negative effect on the environment in term of the agricultural sector in Iran. © 2017 American Institute of Chemical Engineers Environ Prog, 2017

ACS Style

Amin Nikkhah. Life cycle assessment of the agricultural sector in Iran (2007–2014). Environmental Progress & Sustainable Energy 2018, 37, 1750 -1757.

AMA Style

Amin Nikkhah. Life cycle assessment of the agricultural sector in Iran (2007–2014). Environmental Progress & Sustainable Energy. 2018; 37 (5):1750-1757.

Chicago/Turabian Style

Amin Nikkhah. 2018. "Life cycle assessment of the agricultural sector in Iran (2007–2014)." Environmental Progress & Sustainable Energy 37, no. 5: 1750-1757.

Journal article
Published: 27 August 2018 in Journal of Cleaner Production
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Energy flow and environmental impact are the key factors toward sustainable development of agricultural production. The objective of the current study is to optimize the energy consumption and assess the environmental impacts of arecanut production. The data were collected from 70 arecanut producers from the Goa state of India. The environmental impacts were investigated with a cradle to gate perspective; using, raw materials extraction, manufacture, use, and supply of inputs to the farm. The functional units considered were one tonne of arecanut production (mass-based) and 1-ha area of arecanut (land-based). The data envelopment analysis indicated the average technical efficiency of arecanut farms as 0.89, implying the potential of saving the resources to the tune of 11% with a mean economic saving of 413 $ ha−1 year−1 without reducing the arecanut yield. Human labor, irrigation, manures, and chemical fertilizers were the major energy consumers in the system. The life cycle assessment indicated on-farm emissions as the hotspot for the respiratory inorganics, terrestrial acid/nutria, and aquatic acidification impact categories. Arecanut production had the highest negative impact on human health followed by ecosystem quality. The global warming potential of arecanut production works out to be 959.87 and 2399.25 kg CO2 eq. per tonne and per hectare basis, respectively. In conclusion, efficient use of inputs in synchrony with crop requirement, advance irrigation methods, and efficient machinery usage may be adopted to curtail the environmental impact of arecanut production in the region.

ACS Style

Venkatesh Paramesh; Vadivel Arunachalam; Amin Nikkhah; Bappa Das; Sami Ghnimi. Optimization of energy consumption and environmental impacts of arecanut production through coupled data envelopment analysis and life cycle assessment. Journal of Cleaner Production 2018, 203, 674 -684.

AMA Style

Venkatesh Paramesh, Vadivel Arunachalam, Amin Nikkhah, Bappa Das, Sami Ghnimi. Optimization of energy consumption and environmental impacts of arecanut production through coupled data envelopment analysis and life cycle assessment. Journal of Cleaner Production. 2018; 203 ():674-684.

Chicago/Turabian Style

Venkatesh Paramesh; Vadivel Arunachalam; Amin Nikkhah; Bappa Das; Sami Ghnimi. 2018. "Optimization of energy consumption and environmental impacts of arecanut production through coupled data envelopment analysis and life cycle assessment." Journal of Cleaner Production 203, no. : 674-684.

Journal article
Published: 01 June 2018 in Journal of Cleaner Production
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Municipal solid waste landfills are known as one of the main greenhouse gas resources in the world. One solution to mitigate greenhouse gas emissions from these resources is to install biogas recovery systems. In this regard, determining the appropriate period to install biogas systems becomes important. Meanwhile, methane generation and global warming potential of landfill are important and should be considered as the main indices for determining the appropriate period of biogas production from landfills. Saravan landfill, a black spot, is located in the forests of Northern Iran. In this study, a hybrid landfill gas emissions modeling (LandGEM) and life cycle assessment (LCA) were employed to determine the appropriate period to install biogas recovery project in Saravan landfill in order to capture methane and reduce global warming. The results demonstrated that for the studied period of 140 years, the maximum amount of methane generation will be achieved in 2019 which is equal to 17948 Mg. The LandGEM + LCA results indicated that for a period of 30 years (from 2018 to 2047), the methane generation will be reached to 47% of the total methane emissions from this landfill. Meanwhile, the global warming potential for the same period is equal 47% of the total global warming potential of the landfill. Therefore, it is concluded that the period of 2018-2047 is an appropriate period to install biogas plant in terms of energy generation and mitigation of global warming.

ACS Style

Amin Nikkhah; Mehdi Khojastehpour; Mohammad Hossein Abbaspour-Fard. Hybrid landfill gas emissions modeling and life cycle assessment for determining the appropriate period to install biogas system. Journal of Cleaner Production 2018, 185, 772 -780.

AMA Style

Amin Nikkhah, Mehdi Khojastehpour, Mohammad Hossein Abbaspour-Fard. Hybrid landfill gas emissions modeling and life cycle assessment for determining the appropriate period to install biogas system. Journal of Cleaner Production. 2018; 185 ():772-780.

Chicago/Turabian Style

Amin Nikkhah; Mehdi Khojastehpour; Mohammad Hossein Abbaspour-Fard. 2018. "Hybrid landfill gas emissions modeling and life cycle assessment for determining the appropriate period to install biogas system." Journal of Cleaner Production 185, no. : 772-780.

Journal article
Published: 01 May 2018 in Energy
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ACS Style

Saeed Firouzi; Amin Nikkhah; Hashem Aminpanah. Resource use efficiency of rice production upon single cropping and ratooning agro-systems in terms of bioethanol feedstock production. Energy 2018, 150, 694 -701.

AMA Style

Saeed Firouzi, Amin Nikkhah, Hashem Aminpanah. Resource use efficiency of rice production upon single cropping and ratooning agro-systems in terms of bioethanol feedstock production. Energy. 2018; 150 ():694-701.

Chicago/Turabian Style

Saeed Firouzi; Amin Nikkhah; Hashem Aminpanah. 2018. "Resource use efficiency of rice production upon single cropping and ratooning agro-systems in terms of bioethanol feedstock production." Energy 150, no. : 694-701.

Journal article
Published: 01 November 2017 in Energy
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ACS Style

Hamzeh Soltanali; Amin Nikkhah; Abbas Rohani. Energy audit of Iranian kiwifruit production using intelligent systems. Energy 2017, 139, 646 -654.

AMA Style

Hamzeh Soltanali, Amin Nikkhah, Abbas Rohani. Energy audit of Iranian kiwifruit production using intelligent systems. Energy. 2017; 139 ():646-654.

Chicago/Turabian Style

Hamzeh Soltanali; Amin Nikkhah; Abbas Rohani. 2017. "Energy audit of Iranian kiwifruit production using intelligent systems." Energy 139, no. : 646-654.

Journal article
Published: 01 September 2017 in Energy
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ACS Style

Alireza Taheri-Rad; Mehdi Khojastehpour; Abbas Rohani; Surur Khoramdel; Amin Nikkhah. Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks. Energy 2017, 135, 405 -412.

AMA Style

Alireza Taheri-Rad, Mehdi Khojastehpour, Abbas Rohani, Surur Khoramdel, Amin Nikkhah. Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks. Energy. 2017; 135 ():405-412.

Chicago/Turabian Style

Alireza Taheri-Rad; Mehdi Khojastehpour; Abbas Rohani; Surur Khoramdel; Amin Nikkhah. 2017. "Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks." Energy 135, no. : 405-412.

Journal article
Published: 01 August 2017 in Renewable and Sustainable Energy Reviews
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ACS Style

Amin Nikkhah; Mahsa Royan; Mehdi Khojastehpour; Jacopo Bacenetti. Environmental impacts modeling of Iranian peach production. Renewable and Sustainable Energy Reviews 2017, 75, 677 -682.

AMA Style

Amin Nikkhah, Mahsa Royan, Mehdi Khojastehpour, Jacopo Bacenetti. Environmental impacts modeling of Iranian peach production. Renewable and Sustainable Energy Reviews. 2017; 75 ():677-682.

Chicago/Turabian Style

Amin Nikkhah; Mahsa Royan; Mehdi Khojastehpour; Jacopo Bacenetti. 2017. "Environmental impacts modeling of Iranian peach production." Renewable and Sustainable Energy Reviews 75, no. : 677-682.

Article
Published: 26 April 2017 in Environmental Progress & Sustainable Energy
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The aim of this study was to investigate the non-renewable energy use efficiency, greenhouse gas (GHG) emissions, and carbon efficiency of groundnut sole cropping and groundnut-bean intercropping agro-ecosystems. Data were collected from 136 farmers using face-to-face questionnaires in the Kiashahr region of northern Iran. The results analysis suggested that the non-renewable energy ratio of groundnut-bean intercrop agro-ecosystem (6.03) was greater than that of groundnut sole cropping system (4.59). The highest share of non-renewable energy belonged to diesel fuel, which was followed by the nitrogen fertilizer for both systems. This demonstrates the importance of fossil fuel and N fertilizer use management in both agro-ecosystems. The total GHG emissions from groundnut and groundnut-bean intercrop agro-ecosystems were computed as 636.14 and 657.36 kgCO2eq ha−1, respectively. The highest impact of GHG emissions was from diesel fuel within both farming systems, confirming the prominent role of the fossil fuel input again. The carbon efficiency for groundnut-bean intercrop agro-ecosystem (14.78) was greater than that of the groundnut sole cropping system (11.14). Therefore, groundnut-bean agro-ecosystem can be observed to be more effective for carbon sequestration. The use of greater amounts of biological resources helps to improve the efficiency of energy use and mitigation of GHG emissions in both agro-ecosystems. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1832–1839, 2017

ACS Style

Saeed Firouzi; Amin Nikkhah; Kurt A. Rosentrater. An integrated analysis of non-renewable energy use, GHG emissions, carbon efficiency of groundnut sole cropping and groundnut-bean intercropping agro-ecosystems. Environmental Progress & Sustainable Energy 2017, 36, 1832 -1839.

AMA Style

Saeed Firouzi, Amin Nikkhah, Kurt A. Rosentrater. An integrated analysis of non-renewable energy use, GHG emissions, carbon efficiency of groundnut sole cropping and groundnut-bean intercropping agro-ecosystems. Environmental Progress & Sustainable Energy. 2017; 36 (6):1832-1839.

Chicago/Turabian Style

Saeed Firouzi; Amin Nikkhah; Kurt A. Rosentrater. 2017. "An integrated analysis of non-renewable energy use, GHG emissions, carbon efficiency of groundnut sole cropping and groundnut-bean intercropping agro-ecosystems." Environmental Progress & Sustainable Energy 36, no. 6: 1832-1839.

Journal article
Published: 01 November 2016 in Journal of Cleaner Production
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ACS Style

Amin Nikkhah; Bagher Emadi; Hamzeh Soltanali; Saeed Firouzi; Kurt A. Rosentrater; Mohammad Sadegh Allahyari. Integration of life cycle assessment and Cobb-Douglas modeling for the environmental assessment of kiwifruit in Iran. Journal of Cleaner Production 2016, 137, 843 -849.

AMA Style

Amin Nikkhah, Bagher Emadi, Hamzeh Soltanali, Saeed Firouzi, Kurt A. Rosentrater, Mohammad Sadegh Allahyari. Integration of life cycle assessment and Cobb-Douglas modeling for the environmental assessment of kiwifruit in Iran. Journal of Cleaner Production. 2016; 137 ():843-849.

Chicago/Turabian Style

Amin Nikkhah; Bagher Emadi; Hamzeh Soltanali; Saeed Firouzi; Kurt A. Rosentrater; Mohammad Sadegh Allahyari. 2016. "Integration of life cycle assessment and Cobb-Douglas modeling for the environmental assessment of kiwifruit in Iran." Journal of Cleaner Production 137, no. : 843-849.

Journal article
Published: 01 March 2016 in Information Processing in Agriculture
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Highlights•Clutching forces for both tractors were more than the allowable amount.•Pain threshold reduction due to clutching in MF285 was more than MF399 tractor.•The highest pain threshold reduction was observed in Quadratus lumborum muscle.•To reduce the clutching force in MF285 tractor, some modifications suggested. AbstractTractor as one of the most widely used agricultural machinery should be considered from different aspects. The frequent application of clutch and brake pedals and also the steering wheel within farms, along with the unfavorable working conditions, cause negative effects on the occupational health of the tractor drivers. Thus, in this research, the imposed forces on three engaged muscles including: Gastrocnemius, Trapezius and Quadrate’s lumborum of the tractor drivers during clutching have been studied. In this regard, algometer device was used to determine the applied forces on selective muscles of drivers during clutching of MF285 and MF399 tractors. The experiments were performed employing sample of 30 drivers and were conducted on two Iranian frequently used tractors including: MF285 and MF399 models.The results showed that the clutching forces for MF285 and MF399 tractors were 340 N and 290 N, respectively. The knee angle of the drivers of the two tractors was statistically different at the one percent level of significance. The reduction of pain threshold after 30 and 60 s clutching and also 60 s rest after clutching in MF285 tractor, for all three muscles, were more than those of MF399 tractor. The impact of clutching on the average decreases of pain threshold, for all drivers and all clutching periods, during and after clutching, in the Quadratus lumborum muscle was more than the other two muscles, in both tractors. In order to reduce the clutching force for MF285 tractor some modifications is suggested. In this regard the force transfer joint between the pedal and the clutch release linkage may be replaced with one made of cast iron.

ACS Style

Hossein Fallahi; Mohammad Hossein Abbaspour-Fard; Amin Azhari; Mehdi Khojastehpour; Amin Nikkhah. Ergonomic assessment of drivers in MF285 and MF399 tractors during clutching using algometer. Information Processing in Agriculture 2016, 3, 54 -60.

AMA Style

Hossein Fallahi, Mohammad Hossein Abbaspour-Fard, Amin Azhari, Mehdi Khojastehpour, Amin Nikkhah. Ergonomic assessment of drivers in MF285 and MF399 tractors during clutching using algometer. Information Processing in Agriculture. 2016; 3 (1):54-60.

Chicago/Turabian Style

Hossein Fallahi; Mohammad Hossein Abbaspour-Fard; Amin Azhari; Mehdi Khojastehpour; Amin Nikkhah. 2016. "Ergonomic assessment of drivers in MF285 and MF399 tractors during clutching using algometer." Information Processing in Agriculture 3, no. 1: 54-60.

Journal article
Published: 01 December 2015 in Sustainable Energy Technologies and Assessments
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Agricultural production systems have been contributed to some negative effects on the environment. Therefore, in this research the greenhouse gas (GHG) emissions footprint associated with tea, peanut and kiwifruit production in Guilan province of Iran was studied. Data were collected using farmers’ questionnaire in the 2012–2013 production years. The results revealed that the highest share of GHG emissions for tea, peanut and kiwifruit production systems belonged to chemical fertilizer (76%), diesel fuel (58%) and electricity (47%), respectively. The total GHG emissions footprints for the production of these crops were calculated as 1281.82, 822.29 and 4518.99 kgCO2eq ha−1, respectively. The correlation between farm size and GHG emissions in the production of all three crops were inverse. It means that the large farms produced the least amount of GHG emissions compared to the small farms in Guilan province of Iran. The amount of GHG emissions footprints per capita of farmers in tea, peanut and kiwifruit production in Guilan province were obtained 256.36, 657.83 and 3163.29 kgCO2eq per farmer, respectively. Overall, the amount of GHG emissions per capita of farmers in Guilan province of Iran was 1359.16 kgCO2eq in that year.

ACS Style

Amin Nikkhah; Bagher Emadi; Saeed Firouzi. Greenhouse gas emissions footprint of agricultural production in Guilan province of Iran. Sustainable Energy Technologies and Assessments 2015, 12, 10 -14.

AMA Style

Amin Nikkhah, Bagher Emadi, Saeed Firouzi. Greenhouse gas emissions footprint of agricultural production in Guilan province of Iran. Sustainable Energy Technologies and Assessments. 2015; 12 ():10-14.

Chicago/Turabian Style

Amin Nikkhah; Bagher Emadi; Saeed Firouzi. 2015. "Greenhouse gas emissions footprint of agricultural production in Guilan province of Iran." Sustainable Energy Technologies and Assessments 12, no. : 10-14.