This study investigates the performance and emission characteristics of a diesel engine using a blend of 20% animal fat-based biodiesel (AFB20) under various FIPs (fuel injection pressures) and FITs (fuel injection timing). The objective was to optimize these parameters to enhance engine efficiency and reduce emissions. The experimental setup included a vertical, single-cylinder, four-stroke diesel engine equipped with an eddy current dynamometer and an exhaust gas analyzer. Methods involved varying the FIP between 180 and 240 bar and the FIT from 19 to 27° before the top dead center (TDC). Key performance indicators such as BSFC, BTE, and EGT were measured. Emissions of CO, UBHC, NOx, and smoke were also recorded. Results showed that at 200 bar FIP, the engine exhibited the lowest BSFC of 0.26 g/kWh and the highest BTE of 32.57%. The optimal FIT was 23° bTDC, achieving a BTE of 33.8% and a significant reduction in NOx emissions by 15.07%. Higher FIPs improved atomization, leading to better combustion and lower emissions of UBHC and CO. However, NOx emissions were higher at increased FIPs due to higher combustion temperatures. The study concludes that a FIP of 200 bar and a FIT of 23° bTDC are optimal for achieving improved engine performance and reduced emissions.
{"title":"Optimization of Fuel Injection Parameters for Enhanced Performance and Emission Reduction in a Diesel Engine Using Animal Fat–Based Biodiesel Blends","authors":"Ratchagaraja Dhairiyasamy, Saurav Dixit, Deekshant Varshney, Deepika Gabiriel","doi":"10.1007/s12155-025-10878-0","DOIUrl":"10.1007/s12155-025-10878-0","url":null,"abstract":"<div><p>This study investigates the performance and emission characteristics of a diesel engine using a blend of 20% animal fat-based biodiesel (AFB20) under various FIPs (fuel injection pressures) and FITs (fuel injection timing). The objective was to optimize these parameters to enhance engine efficiency and reduce emissions. The experimental setup included a vertical, single-cylinder, four-stroke diesel engine equipped with an eddy current dynamometer and an exhaust gas analyzer. Methods involved varying the FIP between 180 and 240 bar and the FIT from 19 to 27° before the top dead center (TDC). Key performance indicators such as BSFC, BTE, and EGT were measured. Emissions of CO, UBHC, NOx, and smoke were also recorded. Results showed that at 200 bar FIP, the engine exhibited the lowest BSFC of 0.26 g/kWh and the highest BTE of 32.57%. The optimal FIT was 23° bTDC, achieving a BTE of 33.8% and a significant reduction in NOx emissions by 15.07%. Higher FIPs improved atomization, leading to better combustion and lower emissions of UBHC and CO. However, NOx emissions were higher at increased FIPs due to higher combustion temperatures. The study concludes that a FIP of 200 bar and a FIT of 23° bTDC are optimal for achieving improved engine performance and reduced emissions.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-07DOI: 10.1007/s12155-025-10873-5
Sebastián Villegas-Moncada, Mario Luna-delRisco, Catalina Arroyave-Quiceno, Mauricio González-Palacio, Carlos Peláez-Jaramillo
Over the past two decades, modeling the hydrolysis stage has been recognized as critical for understanding its behavior and determining optimal operating conditions for anaerobic digestion (AD). Traditional approaches, such as first-order and Michaelis–Menten kinetic models, account for substrate concentration and enzymatic activity, respectively, but neglect mass-transfer effects. In this work, we propose a semi-empirical model that integrates enzymatic catalysis with molecular diffusion phenomena in the microbial boundary layer. We derive a hydrolysis rate expression by combining Michaelis–Menten kinetics with Fick’s law of diffusion and validate it against experimental data from a thermophilic batch reactor treating cattle manure (55 (^{circ })C, 62 (g,text {VS},text {L}^{-1})). Compared to the first-order model (R(^2) = 0.940), our model achieves a superior fit (R(^2) = 0.973), demonstrating that diffusion resistance can significantly influence hydrolysis kinetics. By formulating the kinetic model in terms of explicit biochemical and mass-transfer parameters ((r_{h,text {max}}), (K_M), (k_d), (alpha )), it becomes possible to identify optimal operational strategies for enhancing hydrolysis efficiency. The results indicate that coupling enzymatic catalysis with diffusion provides a more accurate theoretical description than the first-order model and enables improved prediction of biopolymer solubilization in AD.
{"title":"Theoretical Analysis of the Hydrolysis Mechanism of Biopolymers in the Anaerobic Digestion Process of Livestock Manure","authors":"Sebastián Villegas-Moncada, Mario Luna-delRisco, Catalina Arroyave-Quiceno, Mauricio González-Palacio, Carlos Peláez-Jaramillo","doi":"10.1007/s12155-025-10873-5","DOIUrl":"10.1007/s12155-025-10873-5","url":null,"abstract":"<div><p>Over the past two decades, modeling the hydrolysis stage has been recognized as critical for understanding its behavior and determining optimal operating conditions for anaerobic digestion (AD). Traditional approaches, such as first-order and Michaelis–Menten kinetic models, account for substrate concentration and enzymatic activity, respectively, but neglect mass-transfer effects. In this work, we propose a semi-empirical model that integrates enzymatic catalysis with molecular diffusion phenomena in the microbial boundary layer. We derive a hydrolysis rate expression by combining Michaelis–Menten kinetics with Fick’s law of diffusion and validate it against experimental data from a thermophilic batch reactor treating cattle manure (55 <span>(^{circ })</span>C, 62 <span>(g,text {VS},text {L}^{-1})</span>). Compared to the first-order model (<i>R</i><span>(^2)</span> = 0.940), our model achieves a superior fit (<i>R</i><span>(^2)</span> = 0.973), demonstrating that diffusion resistance can significantly influence hydrolysis kinetics. By formulating the kinetic model in terms of explicit biochemical and mass-transfer parameters (<span>(r_{h,text {max}})</span>, <span>(K_M)</span>, <span>(k_d)</span>, <span>(alpha )</span>), it becomes possible to identify optimal operational strategies for enhancing hydrolysis efficiency. The results indicate that coupling enzymatic catalysis with diffusion provides a more accurate theoretical description than the first-order model and enables improved prediction of biopolymer solubilization in AD.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-07DOI: 10.1007/s12155-025-10871-7
Hajer Aloui, Yassine M’Rabet, Monia El Ouni, Khaoula Khwaldia
Composite carboxymethyl cellulose (CMC)-based films containing olive leaf extract (OLE) and the polysaccharide fraction from olive leaves (PFOL) were produced by a solvent casting method. The effects of OLE and PFOL contents on physical and functional properties of CMC composite films were assessed using a two-factor, five-level central composite design. Overall, water barrier properties of CMC-based films were significantly improved upon OLE and PFOL incorporation as confirmed by the observed reduction in their water absorption and water vapor permeability (WVP). Likewise, increasing PFOL content from 0 to 60 wt% significantly enhanced the flexibility of CMC/PFOL composite films, most likely due the increased mobility of CMC chains due to the formation of new hydrogen bonds between the CMC chains and the phenolic compounds in PFOL. Furthermore, the incorporation of OLE and PFOL endowed the CMC composite films with higher antioxidant capacity and excellent light barrier properties. Using the desirability function approach, an OLE contents of 0.51 wt% and 59.85 wt% PFOL were identified as the optimum factor levels providing maximum %E (23.28%), higher antioxidant activity (1.1 µmol TE/mg extract), and minimum WVP (17.62 g mm m−2 j−1 kPa−1), with an overall desirability of 0.984.