Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012048
Z. S. Lee, C. C. Seah, S. Habib, R. Hafriz, N. Razali
Green diesel production via catalytic deoxygenation of waste cooking oil (WCO) over metal doped eggshell catalyst was investigated in this work. The catalyst was prepared through liquid-liquid precipitation of 5 transition metal solutions and ground eggshell (ES) as the catalyst support. The prepared catalyst, Fe-ES, Cu-ES, Co-ES, Zn-ES, and Ni-ES were characterized using BET surface area and Scanning Electron Microscopy (SEM) analysis. BET surface area data and SEM images of the catalyst shows a promising catalyst physical properties that tailor to the deoxygenation reaction. Gas Chromatography Mass Spectrometry (GCMS) was used to determine the hydrocarbon composition of the oil yield product from the reaction. The reaction also produces gas, soap and liquid acid phase while the remaining unreacted WCO becomes coke. The percentage of all products and coke were calculated using mass balance. Deoxygenation of WCO with Ni-ES catalyst produced highest oil yield at 61.6% with the hydrocarbon content of 56.11%. Ni-ES also produced 22.9% coke; the least percentage compared to other catalyst. The findings proved that Ni-ES catalyst exhibited the highest conversion of WCO into gas and liquid product with a greater yield of oil and minimal coke formation. These findings demonstrate the feasibility and practicality of using eggshell catalysts as substitutes for commercial catalysts in green diesel production.
{"title":"Production of green diesel from waste cooking oil via catalytic deoxygenation reaction using metal doped eggshell catalyst","authors":"Z. S. Lee, C. C. Seah, S. Habib, R. Hafriz, N. Razali","doi":"10.1088/1755-1315/1372/1/012048","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012048","url":null,"abstract":"\u0000 Green diesel production via catalytic deoxygenation of waste cooking oil (WCO) over metal doped eggshell catalyst was investigated in this work. The catalyst was prepared through liquid-liquid precipitation of 5 transition metal solutions and ground eggshell (ES) as the catalyst support. The prepared catalyst, Fe-ES, Cu-ES, Co-ES, Zn-ES, and Ni-ES were characterized using BET surface area and Scanning Electron Microscopy (SEM) analysis. BET surface area data and SEM images of the catalyst shows a promising catalyst physical properties that tailor to the deoxygenation reaction. Gas Chromatography Mass Spectrometry (GCMS) was used to determine the hydrocarbon composition of the oil yield product from the reaction. The reaction also produces gas, soap and liquid acid phase while the remaining unreacted WCO becomes coke. The percentage of all products and coke were calculated using mass balance. Deoxygenation of WCO with Ni-ES catalyst produced highest oil yield at 61.6% with the hydrocarbon content of 56.11%. Ni-ES also produced 22.9% coke; the least percentage compared to other catalyst. The findings proved that Ni-ES catalyst exhibited the highest conversion of WCO into gas and liquid product with a greater yield of oil and minimal coke formation. These findings demonstrate the feasibility and practicality of using eggshell catalysts as substitutes for commercial catalysts in green diesel production.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141710905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012081
C. Z. Yee, L. H. Saw, W. Yeo, K. H. Chua, W. W. Loo, H K Lim, Y. P. Lim
The demand for solar photovoltaic systems has been steadily increasing over the years, driven by the collective goal to reduce both CO2 emissions and electricity bills in order to foster a sustainable world. Industries with high energy consumption, particularly manufacturing, are actively pursuing the establishment of more sustainable plants to align with net-zero objectives. The primary aim of this project is to design a solar photovoltaic system tailored for an aluminium manufacturing plant, with the intent to curtail electricity consumption and minimize CO2 emissions by harnessing and utilizing energy generated from the photovoltaic system. The comprehensive analysis encompasses meteorological data, daily load demand configuration, photovoltaic array assessment, and simulation of grid-connected inverter sizing through the utilization of PVsyst software. According to the simulation results, the collective operational capacity of the solar photovoltaic system reaches 5240 kWp, effectively meeting 85% of the factory’s maximum demand. To fulfil the plant’s requirements, a total of 12780 panels are necessary. The analysis reveals that this solar system can generate a total of 7,609,690 kWh annually, constituting approximately 26.10% of the total electricity bill for the year 2022, amounting to 29,146,841.28 kWh. The estimated savings from implementing this solar solution amount to around RM 2,701,518 per year. Moreover, the solar system significantly reduces CO2 emissions by an annual total of 4,224.467 tons, contributing to a healthier surrounding environment. The anticipated return on investment, as per the PVsyst projections, is expected to occur within approximately 3.4 years.
{"title":"Developing a solar PV system for cost-effective electricity reduction in an aluminium extrusion plant","authors":"C. Z. Yee, L. H. Saw, W. Yeo, K. H. Chua, W. W. Loo, H K Lim, Y. P. Lim","doi":"10.1088/1755-1315/1372/1/012081","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012081","url":null,"abstract":"\u0000 The demand for solar photovoltaic systems has been steadily increasing over the years, driven by the collective goal to reduce both CO2 emissions and electricity bills in order to foster a sustainable world. Industries with high energy consumption, particularly manufacturing, are actively pursuing the establishment of more sustainable plants to align with net-zero objectives. The primary aim of this project is to design a solar photovoltaic system tailored for an aluminium manufacturing plant, with the intent to curtail electricity consumption and minimize CO2 emissions by harnessing and utilizing energy generated from the photovoltaic system. The comprehensive analysis encompasses meteorological data, daily load demand configuration, photovoltaic array assessment, and simulation of grid-connected inverter sizing through the utilization of PVsyst software. According to the simulation results, the collective operational capacity of the solar photovoltaic system reaches 5240 kWp, effectively meeting 85% of the factory’s maximum demand. To fulfil the plant’s requirements, a total of 12780 panels are necessary. The analysis reveals that this solar system can generate a total of 7,609,690 kWh annually, constituting approximately 26.10% of the total electricity bill for the year 2022, amounting to 29,146,841.28 kWh. The estimated savings from implementing this solar solution amount to around RM 2,701,518 per year. Moreover, the solar system significantly reduces CO2 emissions by an annual total of 4,224.467 tons, contributing to a healthier surrounding environment. The anticipated return on investment, as per the PVsyst projections, is expected to occur within approximately 3.4 years.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"15 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141690678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012068
V. Ganesan, P. S. Chee, Q. L. Goh, E. H. Lim, Y. J. King, L. H. Chong
Self-powered vibration sensors have gained attention due to their versatility. However, a limitation of many existing self-powered sensors is their single-direction functionality, which hinders their effectiveness in capturing multidirectional human movement’s swinging motions. To address this, this study introduces an innovative self-powered vibration sensor based on the triboelectrification effect of an inverted pendulum metal ball. This novel sensor excels at detecting micro-vibrations through the freestanding sliding electrification of a metal ball using Kapton tape. The generated charge is transferred through interdigital electrodes arranged in a spiral pattern. To ensure adaptability to various motion types, the metal ball is affixed to a spring and configured as an inverted pendulum. This setup allows the sensor to detect both linear and rotary motions across a range of acceleration levels. The fabricated sensor exhibits remarkable sensitivity, measuring 0.203 V/mm. It was affixed to the human body to detect low-frequency vibrations, particularly those below 20 Hz. Impressively, it can detect millimeter-scale vibrations, even up to 3 mm, at different rotational angles (0°, 30°, 60°, and 90°). This outcome highlights the promising performance of our vibration sensor in the field of human motion monitoring, making it a significant advancement in the realm of self-powered vibration sensors.
{"title":"A self-powered spring-based triboelectric vibration sensor","authors":"V. Ganesan, P. S. Chee, Q. L. Goh, E. H. Lim, Y. J. King, L. H. Chong","doi":"10.1088/1755-1315/1372/1/012068","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012068","url":null,"abstract":"\u0000 Self-powered vibration sensors have gained attention due to their versatility. However, a limitation of many existing self-powered sensors is their single-direction functionality, which hinders their effectiveness in capturing multidirectional human movement’s swinging motions. To address this, this study introduces an innovative self-powered vibration sensor based on the triboelectrification effect of an inverted pendulum metal ball. This novel sensor excels at detecting micro-vibrations through the freestanding sliding electrification of a metal ball using Kapton tape. The generated charge is transferred through interdigital electrodes arranged in a spiral pattern. To ensure adaptability to various motion types, the metal ball is affixed to a spring and configured as an inverted pendulum. This setup allows the sensor to detect both linear and rotary motions across a range of acceleration levels. The fabricated sensor exhibits remarkable sensitivity, measuring 0.203 V/mm. It was affixed to the human body to detect low-frequency vibrations, particularly those below 20 Hz. Impressively, it can detect millimeter-scale vibrations, even up to 3 mm, at different rotational angles (0°, 30°, 60°, and 90°). This outcome highlights the promising performance of our vibration sensor in the field of human motion monitoring, making it a significant advancement in the realm of self-powered vibration sensors.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"603 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141707707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012055
A. Quek, A. R. Abbas, N. Z. I. S. Zaman, W. N. S. W. Ata, M. F. Zainal, F. K. M. Yapandi, Z. F. Ibrahim, A. Suhardi
A cradle-to-grave life cycle assessment (LCA) has been performed on a Large Scale Solar Photovoltaic (LSSPV) plant based in Peninsular Malaysia to study the detailed environmental impact of its life cycle. The LSSPV, with a capacity of 78 MWdc, is currently one of Malaysia’s largest solar power plants. The different life cycle phases of the LSSPV, starting from resource manufacturing and transportation, through plant construction and electricity generation, and to decommissioning of the plant, were assessed using the SimaPro software with the Ecoinvent v3.8 database. Results show that the overall emission rate for the LSSPV is 0.0309 kgCO2eq/kWh. It is estimated that the construction phase of the power plant, which includes activities such as infrastructure works and production of PV modules and Balance of System, yields the largest amount of kgCO2eq/kWh emission at 85.7% and imposes the highest environmental impact as compared to the other phases. The second biggest contributor is attributed to the transportation phase, contributing to 14.0% of the total kgCO2eq/kWh emission, of which most of the emission is emitted during the sea freight transportation of PV components from China port to Malaysia port (12.4%). A sensitivity analysis was performed to compare the environmental impact between open ground installation and the slanted roof installation mounting system of LSSPV. The findings from LCA proposed that open-ground installation has a greater negative impact on the environment because it involves additional land clearing and infrastructure transformation. The findings from this study serve as a benchmark for the LSSPV system in Malaysia and present technical perspectives for the future development of PV projects considering environmental impacts across the project lifetime.
{"title":"Life Cycle Assessment of Large-Scale Solar Photovoltaic Plant based in Malaysia","authors":"A. Quek, A. R. Abbas, N. Z. I. S. Zaman, W. N. S. W. Ata, M. F. Zainal, F. K. M. Yapandi, Z. F. Ibrahim, A. Suhardi","doi":"10.1088/1755-1315/1372/1/012055","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012055","url":null,"abstract":"\u0000 A cradle-to-grave life cycle assessment (LCA) has been performed on a Large Scale Solar Photovoltaic (LSSPV) plant based in Peninsular Malaysia to study the detailed environmental impact of its life cycle. The LSSPV, with a capacity of 78 MWdc, is currently one of Malaysia’s largest solar power plants. The different life cycle phases of the LSSPV, starting from resource manufacturing and transportation, through plant construction and electricity generation, and to decommissioning of the plant, were assessed using the SimaPro software with the Ecoinvent v3.8 database. Results show that the overall emission rate for the LSSPV is 0.0309 kgCO2eq/kWh. It is estimated that the construction phase of the power plant, which includes activities such as infrastructure works and production of PV modules and Balance of System, yields the largest amount of kgCO2eq/kWh emission at 85.7% and imposes the highest environmental impact as compared to the other phases. The second biggest contributor is attributed to the transportation phase, contributing to 14.0% of the total kgCO2eq/kWh emission, of which most of the emission is emitted during the sea freight transportation of PV components from China port to Malaysia port (12.4%). A sensitivity analysis was performed to compare the environmental impact between open ground installation and the slanted roof installation mounting system of LSSPV. The findings from LCA proposed that open-ground installation has a greater negative impact on the environment because it involves additional land clearing and infrastructure transformation. The findings from this study serve as a benchmark for the LSSPV system in Malaysia and present technical perspectives for the future development of PV projects considering environmental impacts across the project lifetime.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"26 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141715160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012082
J. B. Magdaong, A. Culaba, A. Ubando, N. S. Lopez
This study presents a machine learning application for generating synthetic building electrical load profiles. The implementation followed the Cross Industry Standard Process for the development of Machine Learning Applications with Quality assurance methodology, or CRISP-ML(Q) framework, to ensure a systematic machine learning development process. The model training performance was evaluated using the mean absolute error (MAE), root mean squared error (RSME), and coefficient of determination (R2) which were observed to be 0.0739, 0.1119, and 0.5728, respectively. These metrics remained consistent during the model testing phase, suggesting robust model performance. During the initial simulation experiment, the MAE and RMSE of the generated synthetic load profile were found to be 0.014 and 0.016, respectively, underscoring high model accuracy. Additional evaluation experiments showed that the developed machine learning application can generate realistic building load profiles using high-level parameters such as building type, average daily load, and peak demand. This study can aid in the development of demand-side management strategies and building energy management systems by providing realistic building electrical load profiles especially when real-world data is limited. For future work, researchers can consider integrating additional model features, refining data processing methods, and developing an agile version of the CRISP-ML(Q) framework.
{"title":"Generating synthetic building electrical load profiles using machine learning based on the CRISP-ML(Q) framework","authors":"J. B. Magdaong, A. Culaba, A. Ubando, N. S. Lopez","doi":"10.1088/1755-1315/1372/1/012082","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012082","url":null,"abstract":"\u0000 This study presents a machine learning application for generating synthetic building electrical load profiles. The implementation followed the Cross Industry Standard Process for the development of Machine Learning Applications with Quality assurance methodology, or CRISP-ML(Q) framework, to ensure a systematic machine learning development process. The model training performance was evaluated using the mean absolute error (MAE), root mean squared error (RSME), and coefficient of determination (R2) which were observed to be 0.0739, 0.1119, and 0.5728, respectively. These metrics remained consistent during the model testing phase, suggesting robust model performance. During the initial simulation experiment, the MAE and RMSE of the generated synthetic load profile were found to be 0.014 and 0.016, respectively, underscoring high model accuracy. Additional evaluation experiments showed that the developed machine learning application can generate realistic building load profiles using high-level parameters such as building type, average daily load, and peak demand. This study can aid in the development of demand-side management strategies and building energy management systems by providing realistic building electrical load profiles especially when real-world data is limited. For future work, researchers can consider integrating additional model features, refining data processing methods, and developing an agile version of the CRISP-ML(Q) framework.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141696794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012038
Yumarlin Mz, Sri Rahayu
Rivers play an essential role as vital water sources with roles spanning sanitation, hygiene, drinking, and agriculture, particularly in rural areas. However, Kabupaten Sleman’s river water quality, including its Kabupaten Sleman region in Yogyakarta, has severely degraded due to pollution from solid and liquid sources. Chemical contaminants have rendered the water unsafe, posing health risks. The primary objective of this study is to evaluate the water quality in the rivers of Bedog and Sembung located in Kabupaten Sleman. This evaluation utilizes Water Quality Criteria from the Republic of Indonesia Government Regulations Number 82 of 2001, alongside assigned weights. The research employs a diverse range of methodologies, including in-depth literature analysis, meticulous field observation, interviews, and comprehensive water quality assessment. A Decision Support System is adeptly employed as a strategic tool to grapple with the intricate facets inherent in the issue, thereby formulating pragmatic resolutions that facilitate judicious decision-making across diverse contexts. In addressing the dimension of water quality for communities along the Bedog and Sembung rivers, the study seamlessly integrates the SMART (Simple Multi-Attribute Rating Technique) approach. SMART’s agility in steering multi-attribute decisions expedites the decision-making process. SMART’s computational outcomes yield values of 0.304 and 0.395 for the Bedog and Sembung Rivers, respectively, both falling within the 0 to 0.49 range. This collective conclusion indicates that neither river meets the criteria for clean water quality, making it unsuitable for activities like sanitation, hygiene, drinking, and agriculture. The study underscores the urgency of rectifying river water quality, particularly in urban settings, to ensure safe and sustainable water sources for communities. The seamless integration of SMART as a decision-making tool amplifies the potential for effective interventions in navigating water quality management complexities.
{"title":"Decision support system for urban river water quality as a source of clean water using the SMART method","authors":"Yumarlin Mz, Sri Rahayu","doi":"10.1088/1755-1315/1372/1/012038","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012038","url":null,"abstract":"\u0000 Rivers play an essential role as vital water sources with roles spanning sanitation, hygiene, drinking, and agriculture, particularly in rural areas. However, Kabupaten Sleman’s river water quality, including its Kabupaten Sleman region in Yogyakarta, has severely degraded due to pollution from solid and liquid sources. Chemical contaminants have rendered the water unsafe, posing health risks. The primary objective of this study is to evaluate the water quality in the rivers of Bedog and Sembung located in Kabupaten Sleman. This evaluation utilizes Water Quality Criteria from the Republic of Indonesia Government Regulations Number 82 of 2001, alongside assigned weights. The research employs a diverse range of methodologies, including in-depth literature analysis, meticulous field observation, interviews, and comprehensive water quality assessment. A Decision Support System is adeptly employed as a strategic tool to grapple with the intricate facets inherent in the issue, thereby formulating pragmatic resolutions that facilitate judicious decision-making across diverse contexts. In addressing the dimension of water quality for communities along the Bedog and Sembung rivers, the study seamlessly integrates the SMART (Simple Multi-Attribute Rating Technique) approach. SMART’s agility in steering multi-attribute decisions expedites the decision-making process. SMART’s computational outcomes yield values of 0.304 and 0.395 for the Bedog and Sembung Rivers, respectively, both falling within the 0 to 0.49 range. This collective conclusion indicates that neither river meets the criteria for clean water quality, making it unsuitable for activities like sanitation, hygiene, drinking, and agriculture. The study underscores the urgency of rectifying river water quality, particularly in urban settings, to ensure safe and sustainable water sources for communities. The seamless integration of SMART as a decision-making tool amplifies the potential for effective interventions in navigating water quality management complexities.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"76 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141697538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012032
Nur Atiqah Mohamad Aziz, Yu Kai Ling, H. Mohamed, B. S. Zainal, H. Zaman, A. G. Alsultan
Palm oil mill effluent (POME) and oil palm empty fruit bunches (EFB) constitute the highest waste generated in the mill. This study investigates thermochemical approaches, specifically wet torrefaction and gasification, aiming to transform these wastes into higher-value products such as biochar. Wet torrefaction was initially applied to EFB and POME at 200 °C, with a heating rate of 5 °C/min for 30-min residence time under nitrogen-inert conditions, resulting in a solid yield of 82%. This process led to a notable increase in the heating value of raw EFB by 30.6%, from 17.3 to 22.6 MJ/kg. Subsequently, the product underwent gasification at various temperatures ranging from 600 to 800 °C, with a constant heating rate of 10 °C/min, gas flow rate of 20 ml/min, and a retention time of 30 min. The gasification reaction improved the solid yield and resulted in the generation of liquid products and syngas. The results indicated that 45-59% of biochar, 12-17% of bio-oil, and 30-39% of syngas were produced. The syngas composition, determined using gas chromatography, revealed the presence of CO2, H2, CH4, and CO. The solid product, characterised by a higher heating value, is a viable alternative for solid fuel. The findings suggested that both wet torrefaction and the gasification process have the potential to address the abundance of palm mill waste issues and offer an alternative approach for utilising and generating energy within the mill.
{"title":"Biochar and syngas from wet torrefaction of oil palm empty fruit bunches and palm oil mill effluent: A renewable energy approach","authors":"Nur Atiqah Mohamad Aziz, Yu Kai Ling, H. Mohamed, B. S. Zainal, H. Zaman, A. G. Alsultan","doi":"10.1088/1755-1315/1372/1/012032","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012032","url":null,"abstract":"\u0000 Palm oil mill effluent (POME) and oil palm empty fruit bunches (EFB) constitute the highest waste generated in the mill. This study investigates thermochemical approaches, specifically wet torrefaction and gasification, aiming to transform these wastes into higher-value products such as biochar. Wet torrefaction was initially applied to EFB and POME at 200 °C, with a heating rate of 5 °C/min for 30-min residence time under nitrogen-inert conditions, resulting in a solid yield of 82%. This process led to a notable increase in the heating value of raw EFB by 30.6%, from 17.3 to 22.6 MJ/kg. Subsequently, the product underwent gasification at various temperatures ranging from 600 to 800 °C, with a constant heating rate of 10 °C/min, gas flow rate of 20 ml/min, and a retention time of 30 min. The gasification reaction improved the solid yield and resulted in the generation of liquid products and syngas. The results indicated that 45-59% of biochar, 12-17% of bio-oil, and 30-39% of syngas were produced. The syngas composition, determined using gas chromatography, revealed the presence of CO2, H2, CH4, and CO. The solid product, characterised by a higher heating value, is a viable alternative for solid fuel. The findings suggested that both wet torrefaction and the gasification process have the potential to address the abundance of palm mill waste issues and offer an alternative approach for utilising and generating energy within the mill.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141702814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012100
R. K. Banik, H. J. Das
To overcome the operational difficulties associated with bubbling and circulating fluidized bed gasifiers, a new gasification technology termed dual fluidized bed gasification (DFBG) has evolved. To strengthen the understanding of the gasification and combustion processes in the DFBG system, a thorough analysis of bed hydrodynamics is of paramount importance. Furthermore, the complexity of the hydrodynamics escalates while incorporating diverse fuels like biomass and coal, along with bed materials fluidized in a single reactor due to its nonlinearity and transience. As a result, the study of hydrodynamics in such a system is indispensable. The present study focuses on the discrete element model (DEM) simulation of the bed hydrodynamic behaviour within the gasifier of a DFBG system. The simulation was conducted using Multiphase Flow with Interphase eXchanges (MFiX) software. The influence of superficial velocity on the number of particles in a gasifier was analyzed using the 2-D discrete element model (DEM). In this numerical investigation, transient variation of pressure drop, axial and radial solid volume fraction, and particle velocity was evaluated, and the data were analyzed using the ParaView software. The simulation results of the gasifier indicated an increase in the bed pressure drop with the rise in inlet air velocity. The effective height of solid volume fraction also increased with the surge in superficial velocity. The solid velocity profile and streamlines were also investigated to understand its variation pertaining to the location within the fluidized bed.
{"title":"MFIX–DEM simulation of gas-solid flow dynamics in a dual fluidized bed system","authors":"R. K. Banik, H. J. Das","doi":"10.1088/1755-1315/1372/1/012100","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012100","url":null,"abstract":"\u0000 To overcome the operational difficulties associated with bubbling and circulating fluidized bed gasifiers, a new gasification technology termed dual fluidized bed gasification (DFBG) has evolved. To strengthen the understanding of the gasification and combustion processes in the DFBG system, a thorough analysis of bed hydrodynamics is of paramount importance. Furthermore, the complexity of the hydrodynamics escalates while incorporating diverse fuels like biomass and coal, along with bed materials fluidized in a single reactor due to its nonlinearity and transience. As a result, the study of hydrodynamics in such a system is indispensable. The present study focuses on the discrete element model (DEM) simulation of the bed hydrodynamic behaviour within the gasifier of a DFBG system. The simulation was conducted using Multiphase Flow with Interphase eXchanges (MFiX) software. The influence of superficial velocity on the number of particles in a gasifier was analyzed using the 2-D discrete element model (DEM). In this numerical investigation, transient variation of pressure drop, axial and radial solid volume fraction, and particle velocity was evaluated, and the data were analyzed using the ParaView software. The simulation results of the gasifier indicated an increase in the bed pressure drop with the rise in inlet air velocity. The effective height of solid volume fraction also increased with the surge in superficial velocity. The solid velocity profile and streamlines were also investigated to understand its variation pertaining to the location within the fluidized bed.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"24 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141703038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012018
A. I. Firmansyah, Mukthasor, D. Satrio, S. Rahmawati, H. Ikhwani, W. A. Pratikto
The difference between sea water temperature at a depth of around 1000 m and sea water temperature at sea level is generally used as a parameter in the design of Ocean Thermal Energy Conversion (OTEC). In practice, electricity generation is determined by the difference between the temperature of the cold seawater coming out of the Cold Water Pipe (CWP) and the temperature of the seawater at the surface. The temperature of cold sea water increases due to heat transfer experienced by cold sea water flowing through the CWP, which comes into contact with surrounding sea water which has a higher temperature. This in turn provides a lower actual temperature difference, and therefore reduces the design power capacity. However, many previous studies did not consider these lower temperature differences. This may be acceptable for cases with practically small heat transfer such as CWP with low thermal conductivity combined with good insulation used in 1000 m CWP vertical floating systems. Unfortunately, this may not be the case for many of OTEC’s proposed alternative sites, which are located on land systems that require CWP lengths of five km or more. This raises the need for careful investigation to determine the temperature of the sea water coming out of the CWP, where it is necessary to calculate the temperature distribution of the cold sea water flowing through the CWP. This paper aims to estimate the temperature distribution of cold sea water flowing through the CWP and the increase in temperature of cold sea water leaving the CWP. Analysis based on the principles of mass and heat transfer was carried out in this research, where modelling was carried out numerically using a finite volume approach. For the case considered, the change in sea water temperature at CWP from depth to the surface occurs 1-3°C, which is the accumulation of each change in sea water depth. The results of this research illustrate that designing an OTEC system with a long CWP must consider the temperature distribution of cold sea water flowing through the CWP to produce a more realistic design.
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Pub Date : 2024-07-01DOI: 10.1088/1755-1315/1372/1/012101
P. D. Angeles, A. R. I. Bustamante, H. A. S. Sasil, D. E. D. Loresca, J. A. Paraggua
Clean and sustainable energy has turned towards electrochemical water splitting as a viable solution in minimizing carbon emissions. Electrolysis of water converts electrical energy to chemical energy, through the production of hydrogen and oxygen gases, which can be harnessed for potential applications without contributing to greenhouse emissions. While this energy storage process shows great potential, its efficiency is hindered by the sluggish kinetics of the oxygen evolution reaction (OER). As a result, its widespread application in green electrolytic technologies is limited hence investigations on improving OER kinetics are of utmost importance. Recent research breakthroughs indicate that alkali metal cations are more than passive observers. They play complex roles in the electric double layer (EDL), which positively influences the OER kinetics. The presence of numerous ions and their combinations presents a challenge of complexity. This study aims to delve into the impact of alkali metal cations on OER activity due to the variance in their hydration energies. Specific investigations focusing on different alkali metal cations in solution, such as Li+, Na+, and K+, was conducted on RuO2 to gain a deeper understanding of how these ions interact with both reactants and intermediate species in the reaction kinetics. Traditional electrochemical tests, including cyclic voltammetry (CV), linear sweep voltammetry (LSV), electrochemical impedance spectroscopy (EIS), and accelerated degradation test (ADT) measurements were employed to elucidate critical aspects such as surface activation, electric double layer interactions, catalytic activity and stability, ohmic resistance, and mass and charge transport.
清洁和可持续能源已转向电化学水分离，将其作为尽量减少碳排放的可行解决方案。电解水通过产生氢气和氧气，将电能转化为化学能。虽然这一储能过程显示出巨大的潜力，但其效率却受到氧进化反应（OER）缓慢动力学的阻碍。因此，它在绿色电解技术中的广泛应用受到了限制，而改善氧进化反应动力学的研究就显得尤为重要。最近的研究突破表明，碱金属阳离子不仅仅是被动的观察者。它们在电双层（EDL）中扮演着复杂的角色，对 OER 动力学产生了积极影响。众多离子的存在及其组合带来了复杂性的挑战。本研究旨在深入探讨碱金属阳离子的水合能量差异对 OER 活性的影响。针对溶液中不同的碱金属阳离子，如 Li+、Na+ 和 K+，在 RuO2 上进行了具体研究，以深入了解这些离子在反应动力学中如何与反应物和中间物种相互作用。研究采用了传统的电化学测试方法，包括循环伏安法 (CV)、线性扫描伏安法 (LSV)、电化学阻抗谱 (EIS) 和加速降解测试 (ADT)，以阐明表面活化、电双层相互作用、催化活性和稳定性、欧姆电阻以及质量和电荷传输等关键问题。
{"title":"Ion- and surface-sensitive interactions during oxygen evolution reaction in alkaline media","authors":"P. D. Angeles, A. R. I. Bustamante, H. A. S. Sasil, D. E. D. Loresca, J. A. Paraggua","doi":"10.1088/1755-1315/1372/1/012101","DOIUrl":"https://doi.org/10.1088/1755-1315/1372/1/012101","url":null,"abstract":"\u0000 Clean and sustainable energy has turned towards electrochemical water splitting as a viable solution in minimizing carbon emissions. Electrolysis of water converts electrical energy to chemical energy, through the production of hydrogen and oxygen gases, which can be harnessed for potential applications without contributing to greenhouse emissions. While this energy storage process shows great potential, its efficiency is hindered by the sluggish kinetics of the oxygen evolution reaction (OER). As a result, its widespread application in green electrolytic technologies is limited hence investigations on improving OER kinetics are of utmost importance. Recent research breakthroughs indicate that alkali metal cations are more than passive observers. They play complex roles in the electric double layer (EDL), which positively influences the OER kinetics. The presence of numerous ions and their combinations presents a challenge of complexity. This study aims to delve into the impact of alkali metal cations on OER activity due to the variance in their hydration energies. Specific investigations focusing on different alkali metal cations in solution, such as Li+, Na+, and K+, was conducted on RuO2 to gain a deeper understanding of how these ions interact with both reactants and intermediate species in the reaction kinetics. Traditional electrochemical tests, including cyclic voltammetry (CV), linear sweep voltammetry (LSV), electrochemical impedance spectroscopy (EIS), and accelerated degradation test (ADT) measurements were employed to elucidate critical aspects such as surface activation, electric double layer interactions, catalytic activity and stability, ohmic resistance, and mass and charge transport.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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