4.7 Article

Energy flow modeling and life cycle assessment of apple juice production: Recommendations for renewable energies implementation and climate change mitigation

期刊

JOURNAL OF CLEANER PRODUCTION
卷 246, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.118997

关键词

Apple production; Apple juice; Energy consumption; Environmental analysis; Juice processing; Life cycle assessment

资金

  1. University of Tehran [09-6-324030]

向作者/读者索取更多资源

Due to the growing population and the subsequent need for more food, food production systems have moved towards industrialization. Accordingly, a large amount of energy, particularly fossil fuels, should be supplied annually to this important sector of the industry, thereby increasing environmental hazards for human health and ecosystems. Therefore, the hotspots of energy consumption and environmental impacts of food production systems should be accurately identified in order to improve their efficiency and sustainability. To this end, energy consumption and environmental impacts of apple juice production in West Azarbaijan province of Iran was analyzed in the present study from farm gate to end of packaging of bottled juice using energy flow and life cycle assessment (LCA) approaches. According to the results of energy analysis, the specific energy consumption of apple juice production was found to be 28.33 MJ/ bottle. More specifically, diesel fuel, natural gas, and polyethylene terephthalate bottles had the greatest contributions to the specific energy consumption of apple juice production. Based on the outcomes of the LCA approach, the corresponding life-cycle greenhouse gas emissions of the resources consumed in apple juice production were 1.83 kg CO2 (eq), mainly caused by the combustion of diesel and natural gas. The damages to ecosystem quality due to acidification and eutrophication were respectively found to be 1.69 x 10(-2) kg SO2 (eq) and 4.54 x 10(-3) kg PO4 (-3) eq, mainly because of resources utilization in the agricultural production step. The emissions released due to the consumption of chemical fertilizers and farmyard manure in the agricultural production step had the highest impacts in acidification and eutrophication impact categories. The emissions arisen from the production and consumption of pesticides were the hotspots in abiotic depletion, ozone layer depletion, human toxicity, freshwater aquatic ecotoxicity, and terrestrial ecotoxicity. Overall, it could be concluded that using bio-fertilizers and biological control approaches in the agricultural production step as well as implementing renewable energy technologies in the juicing step could potentially mitigate the environmental burdens of apple juice production. (C) 2019 Published by Elsevier Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Environmental

Highly humified nitrogen-functionalized lignite activated by urea pretreatment and ozone plasma oxidation

Ehsan Sarlaki, Mohammad Hossein Kianmehr, Marzieh Ghorbani, Ali Mashaallah Kermani, Keyvan Asefpour Vakilian, Irini Angelidaki, Yajing Wang, Vijai Kumar Gupta, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: A cost-effective and energy-efficient nitro-humification process was developed for nitrogen functionalization and activation of lignite humic substances. Different metrics were determined for the processed lignite including solubility, physicochemical properties, oxidation degree, nitrogen functionalization, spectral ratios, and surface functionalization. The process showed improved solubility, balanced nitrogen binding forms, and enhanced carbon and nitrogen content. It also increased cation exchange capacity, carboxylic and phenolic groups, crystallinity index, and availability of macromicronutrients and rare earth elements.

CHEMICAL ENGINEERING JOURNAL (2023)

Article Green & Sustainable Science & Technology

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

Hossein Shahbeik, Alireza Shafizadeh, Mohammad Hossein Nadian, Dorsa Jeddi, Seyedali Mirjalili, Yadong Yang, Su Shiung Lam, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: Machine learning is utilized to predict the products of biomass-polymer co-pyrolysis by analyzing a comprehensive dataset. The model is constructed using an innovative approach and optimized to maximize pyrolysis oil production while minimizing char and syngas formation. The results showcase the potential of ML in replacing costly and time-consuming experimental measurements.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Biochemistry & Molecular Biology

Recent developments in improving the emulsifying properties of chitosan

Yadong Yang, Vijai Kumar Gupta, Hamid Amiri, Junting Pan, Mortaza Aghbashlo, Meisam Tabatabaei, Ahmad Rajaei

Summary: This review provides an overview of recent studies on improving the emulsifying properties of chitosan. Two approaches have been reported, including modifying the structure of chitosan to enhance its stability and combining chitosan with other compounds to create complex particles with better wettability and emulsifying properties. The use of chitosan-based particles for stabilizing Pickering emulsions has increased, with a focus on using the electrostatic interaction method to improve stability.

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2023)

Review Biochemistry & Molecular Biology

Chitosan nanocarriers containing essential oils as a green strategy to improve the functional properties of chitosan: A review

Yadong Yang, Mortaza Aghbashlo, Vijai Kumar Gupta, Hamid Amiri, Junting Pan, Meisam Tabatabaei, Ahmad Rajaei

Summary: Large amounts of agricultural waste, especially marine product waste, are produced annually. These wastes can be used to produce valuable compounds like chitosan, which has various biological activities. Essential oils have also been studied for their biological properties, and recent research has focused on using essential oils encapsulated in chitosan nanocarriers to enhance the antimicrobial activity of chitosan nanoparticles. This review provides an overview of recent studies on the biological effects of essential oils encapsulated in chitosan nanocarriers.

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2023)

Review Green & Sustainable Science & Technology

A critical review of the use of nanomaterials in the biomass pyrolysis process

Alireza Shafizadeh, Hajar Rastegari, Hossein Shahbeik, Hossein Mobli, Junting Pan, Wanxi Peng, Guihua Li, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: The use of nanomaterials in biomass pyrolysis is thoroughly reviewed in this article. Nanocatalysts not only reduce the complexity and cost of bio-oil upgrading, but also improve the quality and quantity of bio-oil compared to bulk catalysts. The effects of catalysts, biomass decomposition pathways, and product distribution patterns in nanocatalyst-assisted pyrolysis are explained, and the pros and cons of using nanocatalysts in the biomass pyrolysis process are discussed.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Agricultural Engineering

Integrated pretreatment of poplar biomass employing p-toluenesulfonic acid catalyzed liquid hot water and short-time ball milling for complete conversion to xylooligosaccharides, glucose, and native-like lignin

Meysam Madadi, Dan Liu, Yuanhang Qin, Yinchao Zhang, Keikhosro Karimi, Meisam Tabatabaei, Vijai Kumar Gupta, Mortaza Aghbashlo, Sameh Samir Zahoor, Sameh Samir Ali

Summary: This study aims to develop an integrated pretreatment technology for the complete conversion of poplar biomass to XOS, glucose, and native-like lignin, using TsOH-catalyzed LHW and short-time ball milling. The optimized TsOH-catalyzed LHW pretreatment solubilized 98.5% of hemicellulose, releasing 49.8% XOS. Subsequent ball milling improved the enzymatic hydrolysis of cellulose and reduced crystallinity. This research proposes a sustainable waste-free biorefinery for biomass valorization.

BIORESOURCE TECHNOLOGY (2023)

Article Green & Sustainable Science & Technology

Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach

Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian, Vijai Kumar Gupta, Abdul-Sattar Nizami, Su Shiung Lam, Wanxi Peng, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: This study develops a machine learning-based research framework for modeling, understanding, and optimizing the catalytic steam reforming of volatile matter compounds. Chemical/ textural analyses are used to obtain input features, and ensemble machine learning provides the best prediction performance for toluene conversion and product distribution. The framework can expedite the search for optimal catalyst characteristics and reaction conditions.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Green & Sustainable Science & Technology

A multi-approach framework for developing feasible, viable, and sustainable hybrid energy systems in remote areas: The case of Con Dao island in Vietnam

Mohammad Mahdi Ahmadi, Homa Hosseinzadeh-Bandbafha, Quang Dung Le, Thien Khanh Tran, Mhd Ikhwanuddin, Su Shiung Lam, Pham Phu Truong, Wanxi Peng, Nguyen Hong Quan, Mortaza Aghbashlo, Meisam Tabatabaei

Summary: In this study, a multi-approach framework is proposed for developing feasible, viable, and sustainable hybrid energy systems in remote areas. A case study on Con Dao Island in Vietnam shows that an off-grid hybrid energy system consisting of photovoltaics, wind turbines, lead-acid batteries, and diesel generators has the lowest net present cost, while an on-grid hybrid energy system with a high level of photovoltaics and wind turbines performs the best in terms of eco-friendliness.

JOURNAL OF CLEANER PRODUCTION (2023)

Review Green & Sustainable Science & Technology

Using nanocatalysts to upgrade pyrolysis bio-oil: A critical review

Hossein Shahbeik, Alireza Shafizadeh, Vijai Kumar Gupta, Su Shiung Lam, Hajar Rastegari, Wanxi Peng, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: The unfavorable properties of biomass pyrolysis bio-oil require physical/thermochemical methods to enhance its quality. Nanotechnology offers potential solutions to overcome the drawbacks of conventional catalysts used in bio-oil upgrading. This article provides a comprehensive overview of the application of nanocatalysts in bio-oil upgrading, including their mechanisms and effects on important operating parameters. Nanocatalysts have been shown to yield higher bio-oil quality and have advantages over bulk catalysts. However, more research and development are needed before nanocatalysts can be fully realized in practical applications.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Green & Sustainable Science & Technology

Product diversification to boost the sustainability of the shrimp processing industry: The case of shrimp-waste driven chitosan-based food Pickering emulsion stabilizers

Yadong Yang, Lila Yazdani, Mortaza Aghbashlo, Vijai Kumar Gupta, Junting Pan, Meisam Tabatabaei, Ahmad Rajaei

Summary: This study aimed to increase the commercial value of shrimp shell waste by using chitosan extracted from these wastes as a food emulsion stabilizer. The findings showed that the stabilizer developed from shrimp shell waste is suitable for stabilizing emulsions containing more polar oils with less degree of unsaturation.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Environmental Sciences

Waste-to-energy: Co-pyrolysis of potato peel and macroalgae for biofuels and biochemicals

Zahra Fardi, Hossein Shahbeik, Mohsen Nosrati, Ehsan Motamedian, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: Waste-to-energy conversion is a key strategy for addressing the energy crisis and environmental pollution. This study explores the co-pyrolysis of terrestrial biomass and marine biomass to optimize the production of bio-oil and biochar. The results show that the mixed samples result in increased bio-oil yield, with the highest yield achieved in a composition of 75% potato peel and 25% Sargassum angastifolium. The analysis of the pyrolysis products indicates favorable characteristics for the generation of biofuels and value-added commodities.

ENVIRONMENTAL RESEARCH (2024)

Article Chemistry, Multidisciplinary

Valorizing lignite waste into engineered nitro-humic fertilizer: Advancing resource efficiency in the era of a circular economy

Ehsan Sarlaki, Mohammad Hossein Kianmehr, Ali-mashaallah Kermani, Marzieh Ghorbani, Majid Ghorbani Javid, Meisam Rezaei, Wanxi Peng, Su Shiung Lam, Meisam Tabatabaei, Mortaza Aghbashlo, Xiangmeng Chen

Summary: This study investigates the use of lignite waste as a carrier matrix for creating engineered nitro-humic fertilizer (NHF) through an innovative ozone oxidation method and nitrogen enrichment. The NHF exhibited superior nitrogen use efficiency and agronomic fertilizer efficiency compared to urea and even surpassed commercial NPK fertilizers. Applying NHF improved multiple aspects of maize growth and had a remarkable capability to increase waterholding capacity and extend the water-retention period in soil.

SUSTAINABLE CHEMISTRY AND PHARMACY (2023)

Review Green & Sustainable Science & Technology

The role of energy security and resilience in the sustainability of green microgrids: Paving the way to sustainable and clean production

Mohammadali Kiehbadroudinezhad, Homa Hosseinzadeh-Bandbafha, Marc A. Rosen, Vijai Kumar Gupta, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo

Summary: This article discusses the importance of green microgrids in mitigating risks and climate change by providing carbon-free power. It highlights the challenges faced by clean energy systems and the potential of green microgrids in remote areas. The article emphasizes the significance of transitioning to green microgrids to achieve sustainable and clean power while reducing the adverse environmental impacts of conventional energy sources.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2023)

Article Green & Sustainable Science & Technology

Relative evaluation of probabilistic methods for spatio-temporal wind forecasting

Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Comparison of ethane recovery processes for lean gas based on a coupled model

Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang

Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

A novel deep-learning framework for short-term prediction of cooling load in public buildings

Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu

Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China

Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang

Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor

Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He

Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.

JOURNAL OF CLEANER PRODUCTION (2024)