Article
Engineering, Environmental
Sk Yasir Arafat Siddiki, M. N. Uddin, M. Mofijur, I. M. R. Fattah, Hwai Chyuan Ong, Su Shiung Lam, P. Senthil Kumar, S. F. Ahmed
Summary: In 2018-2019, Bangladesh had 486.77 million tons of animal waste, capable of producing 27,923.72 million m(3)/year of biogas. This biogas potential corresponds to an annual production of 512 PJ heating value and 50 TW h electric power. Additionally, approximately 29.232 million tons of organic fertilizer can be produced annually using the residues from biogas plants. The findings of the study will guide policymakers and governments in utilizing animal waste as a potential bioenergy source to meet national energy demands.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Arshid M. Ali, Ayyaz M. Nawaz, Hamad A. Al-Turaif, Khurram Shahzad
Summary: The waste generated from animal slaughtering during the Hajj period increases significantly, with substantial amounts being disposed of to landfills without recovery of materials or energy. Utilizing slaughterhouse waste for waste-to-energy production through sustainable management practices is economically feasible and has the potential to contribute significant revenue to the national economy.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Satoshi Asaoka, Gen Yoshida, Ikko Ihara
Summary: In this study, cement-bonded digestate composites were developed as nutrient carriers for phytoplankton in oligotrophic coastal seas. The composites were able to release inorganic phosphate, ammonium nitrogen, and dissolved organic nitrogen, which were directly used by phytoplankton. These released nutrients were taken up by marine microalgae, making the composites an effective terrigenous nutrient carrier for their growth.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Muhammad U. Khan, Muhammad Ahmad, Muhammad Sultan, Ihsanullah Sohoo, Prakash C. Ghimire, Azlan Zahid, Abid Sarwar, Muhammad Farooq, Uzair Sajjad, Peyman Abdeshahian, Maryam Yousaf
Summary: Pakistan is facing a severe energy crisis due to heavy reliance on costly fossil fuels, which can be alleviated by utilizing livestock waste and manure for biogas production since the country is primarily agricultural with a significant livestock population. Livestock manure production potential in Pakistan is substantial, with biodigester technologies offering favorable conditions to help eliminate the prevailing energy crises.
Article
Energy & Fuels
Dan Cudjoe, Weiming Chen, Bangzhu Zhu
Summary: Food waste valorization to hydrogen is a viable energy source with potential economic benefits and environmental benefits. This study demonstrates the economic viability of producing hydrogen from food waste in China using biogas steam reforming, while also providing scientific data for investment and decision-making.
Article
Energy & Fuels
Mehmet Volkan Aksay, Abdulsamed Tabak
Summary: This paper presents the biogas potential of animal manure and agricultural waste in Turkey, including the amount of waste, biogas potential, and electricity generation. The study also calculates the costs of biogas plant installations and the reduced CO2 emissions. The results highlight Turkey's significant potential for biogas production and its contribution to renewable energy and carbon reduction.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Energy & Fuels
Mohsen Azadbakht, Seyed Mohammad Safieddin Ardebili, Mohammad Rahmani
Summary: This study investigates the production capacity of biofuels from agricultural crop residues and animal wastes, finding that Golestan province has the potential to produce a significant amount of biogas and electricity annually. The results of this study are important for further research and government policies in the field of renewable energy.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Agriculture, Multidisciplinary
Tingting Liu, Giovanni Ferrari, Andrea Pezzuolo, Ahmed Alengebawy, Keda Jin, Gaozhong Yang, Qiang Li, Ping Ai
Summary: This study estimates and analyzes the agricultural waste and its biogas potential in Hubei Province, China, using a geographical approach. It also compares the estimated potential with the actual biogas production to identify the reasons for the low utilization rate. The results show a high biogas potential of 4.67 x 109 m3, which could lead to a carbon emission reduction effect of 2.33 x 106 tCO2 and an economic benefit of 2.33 x 107 USD. The study also reveals a significant difference between the estimated potential and actual production, with an average production difference rate of 96.83%.
AGRICULTURAL SYSTEMS
(2023)
Article
Energy & Fuels
Dulatbay Yerassyl, Yu Jin, Sugirbaeva Zhanar, Kazambayeva Aigul, Yessengaliyeva Saltanat
Summary: Kazakhstan has abundant reserves of natural resources and aims to reduce its dependency on coal, oil, and natural gas by developing renewable sources of energy, particularly renewable natural gas, to achieve net zero carbon emissions by 2050. A study analyzes the potential of biogas production using livestock and poultry manure as a source of organic matter, and suggests a policy based on agricultural land distribution to promote biogas production.
Article
Agricultural Engineering
Jianbo Lu, Xianyi Gao
Summary: Biogas production in China is among the highest globally, showing rapid development and potential for improving rural energy structure. Large-scale agricultural residues biogas plants have good benefits and huge potential. The development direction of China's biogas industry includes large-scale biogas plants, biogas electricity generation grid plants, household biogas digesters, among others.
BIOMASS & BIOENERGY
(2021)
Article
Green & Sustainable Science & Technology
Yongdong Xu, Yueyao Wang, Ziyun Liu, Changbin Yuan, Jianwen Lu, Zihan Wang, Zhidan Liu
Summary: This study proposes a novel integrated crop-livestock system paradigm where hydrothermal liquefaction aqueous phase (HTL-AP) from livestock manure is used as a fungicide for phytopathogen control. The results show that HTL-AP inhibits phytopathogens through multiple pathways, such as altering morphology and membrane structure, affecting the generation of H2O2, ATP, reducing sugar, and protein. This study provides new insights into the valorization of HTL-AP as sustainable fungicide constituents for phytopathogen control, contributing to the green development of the current integrated crop-livestock system.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Wei En Tan, Peng Yen Liew, Lian See Tan, Kok Sin Woon, Nor Erniza Mohammad Rozali, Wai Shin Ho, Jamian NorRuwaida
Summary: Clean electricity generated through the anaerobic digestion of biomass waste has been studied using a consequential life-cycle assessment and techno-economic analysis. The study focuses on cow manure waste management for a cow farm and compares three scenarios: mono-digestion of cow manure, co-digestion of cow manure and maize silage, and co-digestion of cow manure with various waste streams. The results show that the scenario with co-digestion of cow manure with cow feed waste, sewage sludge, and returned dairy products has the best environmental performance and economic viability.
Article
Green & Sustainable Science & Technology
Gulizar Balcioglu, Harish K. Jeswani, Adisa Azapagic
Summary: Anaerobic digestion of organic wastes is a promising solution to reduce GHG emissions and provide multiple benefits. This study evaluates the environmental and economic sustainability of heat and power produced through AD of different types of waste in Turkey. The results show that using feedstocks with high solid content and biogas yield leads to lower environmental impacts, while bioenergy from cattle slurry has higher impacts. The credits from displacement of mineral fertilisers offset most impacts, and the costs of energy conversion are lower compared to natural gas and grid electricity.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Chemistry, Multidisciplinary
Roberta Mota-Panizio, Manuel Jesus Hermoso-Orzaez, Luis Carmo-Calado, Goncalo Lourinho, Paulo Sergio Duque de Brito
Summary: The study found that when digesting cork boiling wastewater (CBW), the biomethane potential is very low for Ino/CBW ratios of 1:1 and 2:1 compared to other organic substrates using digested sludge as inoculum; however, co-digestion with cow manure showed better biomethane yields.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Kyriaki Kaikiti, Marinos Stylianou, Agapios Agapiou
Summary: The study investigated the use of biochar as a filter or additive for adsorbing VOCs emitted from cattle manure, showing promising results in reducing odor emissions. This technology has the potential to play an important role in agricultural waste management.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Labouda Ba, Ikram El Abbassi, Tien-Tung Ngo, Prosper Pliya, Cheikh Sidi Ethmane Kane, A-Moumen Darcherif, Mamoudou Ndongo
Summary: This study presents the elaboration and characterization of a composite material based on Typha australis and clay, analyzing the thermal and mechanical properties of the material with varying percentages and fiber lengths. The results show that increasing fiber content and length lead to a decrease in thermal conductivity and an improvement in flexural strength.
WASTE AND BIOMASS VALORIZATION
(2021)
Article
Environmental Sciences
Nezaket Parlak, Saim Ozdemir, Kaan Yetilmezsoy, Majid Bahramian
Summary: The study investigated the drying of poultry abattoir sludge (PAS) in thin-layer procedure with solar drying during summer conditions. The results showed that open surface solar drying assisted with solar heated air could be an effective method for drying PAS under high intensity solar radiation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Kaan Yetilmezsoy, Kevser Karakaya, Majid Bahramian, Sabah Ahmed Abdul-Wahab, Bulent Ilhan Goncaloglu
Summary: An artificial intelligence-based methodology using artificial neural networks and fuzzy logic was applied to model biogas production rate, showing that the MISO fuzzy logic-based model outperformed ANN and conventional regression models in forecasting biogas production rate, with a satisfactory R-2 value of 0.88.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Thermodynamics
Boudy Bilal, Kondo Hloindo Adjallah, Kaan Yetilmezsoy, Majid Bahramian, Emel Kiyan
Summary: This study evaluated the spatial and temporal variations of wind potential for energy production in Mauritania, focusing on seasonal, daily, and turbulence index influences. Results showed that the Ecotecnia-48 wind turbine had the lowest cost of energy production among different turbines and sites.
Article
Engineering, Mechanical
Zhanat Dayev, Aiat Kairakbaev, Kaan Yetilmezsoy, Majid Bahramian, Parveen Sihag, Emel Kiyan
Summary: This study utilized various soft computing models to estimate the orifice discharge coefficient (Cd) with statistical analysis revealing the superiority of the random forest (RF) model and competitive potential of the multivariate adaptive regression splines (MARS) model in prediction. The findings demonstrated the capability of the implemented soft computing strategy in precise estimation of Cd in orifice meters, particularly in situations where parameter measurements are impractical.
FLOW MEASUREMENT AND INSTRUMENTATION
(2021)
Article
Agricultural Engineering
Kaan Yetilmezsoy, Majid Bahramian, Emel Kiyan, Mojtaba Bahramian
Summary: A hybrid programming methodology was proposed to develop a simple empirical formulation for estimating the required pipe diameter in pipe distribution systems. The new model was tested against a wide range of design variables and existing models, showing superior prediction accuracy and lower uncertainty compared to other models. The findings suggest that the proposed empirical model is more realistic and reliable for educational and practical purposes.
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Tong Zhao, Peilin Gong, Kaan Yetilmezsoy, Majid Bahramian, Changyou Liu, Xiaofei Gong
Summary: The study focused on fracture characteristics and instability migration laws of thick and hard roof in Zhuxianzhuang Coal Mine, proposing a coordinated control strategy involving confined blasting and support optimization. Key parameters were determined and successfully applied in a working face, achieving satisfactory results in terms of safety and economic efficiency.
Article
Energy & Fuels
Tong Zhao, Peilin Gong, Kaan Yetilmezsoy, Majid Bahramian, Changyou Liu
Summary: Research was conducted on the prevention methods of roof-control disasters in mines with thick and hard rock strata, proposing principles and methods of zonal control based on the analysis of different mining zones. A coordinated control method was applied to strong pressure behavior zones and less-strong pressure behavior zones, achieving good results in practice.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2021)
Article
Thermodynamics
Boudy Bilal, Kondo Hloindo Adjallah, Alexandre Sava, Kaan Yetilmezsoy, Emel Kiyan
Summary: This study introduces an original adaptive neuro-fuzzy inference system modeling approach to predict wind turbine output power. The proposed model demonstrates higher accuracy in estimating power output compared to existing approaches, showcasing superior forecasting performance and accuracy. Multiple experiments validate the effectiveness and reliability of the proposed methodology.
Article
Construction & Building Technology
Tong Zhao, Changyou Liu, Kaan Yetilmezsoy, Majid Bahramian, Peilin Gong
Summary: Accurate perception of key stratum instability can improve coal mining safety and provide a basis for alleviating overlying rock strata destruction. A scheme and parameters for weakening thick and hard roof were proposed through confined blasting in water-filled deep hole presplit technology, effectively reducing the risk of overlying rock strata destruction. Environmental friendly strategies, including the CBWDHPT and hydraulic support optimization, were suggested for overlying rock strata protection.
ADVANCES IN CIVIL ENGINEERING
(2021)
Editorial Material
Agricultural Engineering
Kaan Yetilmezsoy, Majid Bahramian, Emel Kiyan, Mojtaba Bahramian
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2022)
Article
Thermodynamics
Boudy Bilal, Kondo Hloindo Adjallah, Alexandre Sava, Kaan Yetilmezsoy, Mohammed Ouassaid
Summary: This study predicts the output power of wind turbines (WTs) by using wind speed and WT operational characteristics. The proposed model identification method, based on an adaptive neuro-fuzzy inference system (ANFIS) through multi-source data fusion on a moving window, outperforms existing ANFIS-based models in accurately estimating the WT output power.
Review
Computer Science, Artificial Intelligence
Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, Matteo Giberti, Eoin Casey
Summary: Increasing energy efficiency in wastewater treatment plants is crucial and exploiting data science and modelling, as well as deploying sensors and artificial intelligence, can help achieve this goal. Artificial Neural Networks (ANN) is the most popular standalone model for WWTP modelling, followed by Decision Trees (DT), Fuzzy Logic (FL), Genetic algorithm (GA), and Support Vector Machine (SVM). Hybrid models, especially the Machine Learning (ML)-metaheuristic, demonstrate better performance than standalone models. Industrial deployment is still lacking, and future research should focus on enhancing collaboration between interested parties for more effective implementation.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Environmental Sciences
Mohamed Mahmoud Ali, Mamoudou Ndongo, Kaan Yetilmezsoy, Majid Bahramian, Boudy Bilal, Issakha Youm, Bulent Ilhan Goncaloglu
Summary: This study compared the performance of five different models in predicting methane production rate from anaerobic digestion of livestock manures. The artificial neural network model showed superior performance to the other models, with lower RMSE values for both cow and sheep manure datasets. The determination coefficients of all models were in satisfactory agreement with the experimental data.
JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
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
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
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
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
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)