Alternative Energy Sources Research Articles

Battery Lifetime Prediction and Degradation Analysis with Machine Learning Method

Due to environmental pollution and climate crisis caused by fossil fuels, eco-friendly alternative energy sources are gaining attention. Particularly, electric vehicles (EVs) are being recognized as the next-generation means of transportation. The most crucial technologies in electric vehicles are lithium-ion batteries and Battery Management Systems (BMS). However, the extended lifespan of lithium-ion batteries leads to prolonged assessment periods, making it challenging to measure and improve performance over time. Additionally, the operation of batteries under various conditions makes it difficult to measure state of charge (SOC) and state of health (SOH) in real-time, introducing many variables. With recent advancements in predictive technology through machine learning, accurate predictions can be made without complex physical knowledge, leveraging high-quality data.In this study, machine learning techniques were applied using charge/discharge data from lithium-ion LiNi0.5Mn0.3Co0.2O2 (NMC532)/graphite pouch cell batteries. The values measured during the initial charge/discharge cycles were converted into variables that could assess battery degradation modes. Machine learning algorithms were then applied, followed by model tuning to reduce overfitting and enhance accuracy. This research contributes to real-time battery management system data using machine learning technology to predict the remaining useful life (RUL) of lithium-ion batteries with high accuracy, using only initial cycles. This approach enhances the efficiency of BMS data in real-world scenarios and contributes to the overall time efficiency of battery research. Acknowledgement This research was supported by National R&D Program through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT(NRF-2021K1A4A8A01079455).

Effects of Fuel Cell Operating Conditions on Electrochemical Pressure Impedance Spectroscopy (EPIS) Diagnostics

Fuel cells are versatile, low-emission alternative energy sources, but their optimization and failure analyses are complex due to their black-box nature. Conventional in-situ diagnostic techniques such as electrochemical impedance spectroscopy (EIS), are widely used to deconvolute transient processes within operating fuel cells. EIS is invaluable to understanding some of these processes, but other processes within the cell, such as mass transport and individual water fluxes, get overshadowed and are hard to detect.In an effort to provide information that is currently unattainable with conventional fuel cell diagnostic techniques, this project focuses on the further development of electrochemical pressure impedance spectroscopy (EPIS). EPIS is based on a pressure alternating frequency response analysis (pFRA). This diagnostic method is similar to EIS, except that it implements mechanical perturbations in the form of gas pressure oscillations, rather than voltage or current oscillations, to achieve an electrochemical response. Since EIS is based on electrical perturbations, the results are primarily based on the transport of electrons and provides electron-based performance metrics, including charge transfer, adsorption, diffusion, and double-layer behaviors. Conversely, the mechanical perturbations in EPIS enable the investigation of non-electron-based mechanisms, such as flow and gas transport resistances.This project builds from the work of Zang et al., who developed an experimental setup for EPIS and showed that pressure perturbations affect local reaction rates and transport phenomena within the cell, providing a sinusoidal voltage response.1 This study focused on systematically analyzing the effects of varying fuel cell operating conditions to better understand the benefits and limitations of EPIS as a diagnostic technique. The EPIS response and subsequent flow resistances and gas transport resistances were monitored to understand the effects of variations in the cathode inlet relative humidity, the cell inlet temperatures, and the oxygen stoichiometry (stoic). The goal is to improve the metrics by which fuel cells are measured by providing new methods to assist in the real-time probing of processes and failure mechanisms within operating cells. 1 Zhang, Q., Homayouni, H., Gates, B. D., Eikerling, M. H., & Niroumand, A. M. (2022). Electrochemical Pressure Impedance Spectroscopy for Polymer Electrolyte Fuel Cells via Back-Pressure Control. Journal of The Electrochemical Society, 169(4), 044510.

Long-term sustainability of the water-agriculture-energy nexus in Brazil's MATOPIBA region: A case study using system dynamics.

The global demand for agricultural commodities has driven extensive land conversion to agriculture in Brazil, especially in the MATOPIBA region. This area encompasses the Rio Grande Basin, a major tributary of the São Francisco Basin that is known for expanding intensive irrigated agriculture and hydropower generation. However, recent data reveal declining precipitation and aquifer recharge, potentially exacerbating ongoing water and land conflicts. This study investigates the long-term sustainability of agricultural expansion amid the worsening water scarcity using a system dynamics model. Findings suggest that rising costs and decreasing profits due to irrigation water shortages may hinder the expansion of irrigated land. By 2040, the irrigation demand may remain partly unmet, while downstream flow and baseflow could decrease. Additionally, agricultural expansion will significantly raise energy demand, posing a developmental challenge. We suggest that ensuring the sustainability of the Rio Grande Basin depends on improved water management and exploring alternative energy sources to address existing constraints.

Synthesis and characterization of azo cross‐linked polymer as a new catalyst for the production of hydrogen gas by methanolysis of NaBH4

AbstractThe intensive use of fossil fuels has profound impacts on all ecosystems, primarily contributing to global warming through greenhouse gas emissions. To mitigate these impacts, alternative energy sources like hydrogen are crucial. In this study, azo cross‐linked polymer with 4‐aminophenyl sulfone and resorcinol were synthesized by a green synthesis method. The polymer was extensively characterized by Fourier‐transform infrared spectroscopy, Brunner‐Emmett‐Teller analysis, thermogravimetric analysis, and scanning electron microscopy‐energy dispersive x‐ray spectroscopy analyses. Subsequently, the catalytic performance of the polymer in hydrogen production from NaBH4 via methanolysis was investigated. At this stage, the parameters affecting hydrogen production (catalyst and NaBH4 amounts, MeOH volume and temperature) were systematically studied to determine optimum conditions. The maximum HGR values of the polymer was 13,100 and 27,000 mL min−1 gcat−1 at 30 and 60°C, respectively and its activation energy was 10.45 kJ mol−1. After optimization, the reusability of azo polymer was tested with 5 cycles. The theoretical volume of hydrogen was produced in all 5 cycles. But with each cycle, the hydrogen production time increased. The main purpose of this study was to demonstrate novel azo‐linked polymers with high catalytic activity in hydrogen production. The results revealed significant potential of the polymer for hydrogen generation. Overall, this research highlights the promising role of azo cross‐linked polymers as effective catalysts for hydrogen production, offering new perspectives and pathways towards sustainable energy solutions.

Results of experimental development of a laboratory water distillation installation based on a heat pump and a photovoltaic panel

Modern technologies and the continuous rise in water consumption require efficient and environmentally friendly methods of its extraction. According to the energy development strategy of the Russian Federation until 2035, the use of alternative energy sources in industry is a priority task for production. The use of renewable resources to produce distilled water for the needs of enterprises is becoming increasingly important. The innovative technology of a laboratory installation, combining water distillation using a heat pump and a photovoltaic panel, allows not only to obtain purified water, but also to heat the coolant before chemical purification. To create a laboratory stand, it is necessary to study the operating principles of the installation, divide the device into units: the main stand and the vacuum distiller, then model a three-dimensional image of each part of the complex in the SolidWorks software package. Based on the obtained models, a functional diagram of the complex is developed to obtain a coolant of the given parameters, and an algorithm is compiled for predicting the temperature of the heated water in the heat pump. The obtained installation test results are processed, and compared with theoretical data from tables of refrigerant properties, and a conclusion is drawn. The technology for producing purified water is aimed at replacing imported technologies and using renewable energy sources. The development of technologies for producing clean water is a priority for the development of the Russian energy sector. The results obtained indicate the potential of the laboratory installation for use in various areas where a reliable and environmentally friendly supply of distilled water is required, for example, in coastal areas for industrial facilities or agricultural enterprises.

The Impact of Nuclear Energy Consumption, Green Technological Innovation, and Trade Openness on the Sustainable Environment in the USA

Nuclear energy, renewable energy, and alternative energy sources are all crucial for sustainable green energy. However, the existing literature often needs to pay more attention to the role of nuclear energy in achieving sustainable development goals. This study analyzes the impact of green technological innovation, nuclear energy consumption, and trade openness on environmental quality in the US. The authors used the ARDL bounds to identify cointegration relationships, which is appropriate for this study’s dataset as it works well with smaller samples. They also used the Toda–Yamamoto causality test to examine causal links. The ARDL cointegration results indicate a significant long-term relationship between CO2 emissions, green technological innovation, nuclear energy consumption, and trade openness. Green technological innovation has a negative impact on CO2 emissions. Higher nuclear energy consumption is associated with lower CO2 emissions, while greater trade openness is associated with higher CO2 emissions, although these effects are less certain. The results suggest promoting green technological innovation and nuclear energy can be effective strategies for reducing CO2 emissions, while the impact of trade openness requires careful consideration due to its potential to increase emissions.

Advancement of Bioenergy Technology in South Africa

South Africa has been experiencing an energy crisis since 2007 and continues to the present. This has resulted in load-shedding (action to interrupt electricity supply to avoid excessive load on the generating plant). One way to address this problem is to further explore the potential and contribution of bioenergy through research conducted and implementing energy reports. Therefore, the study aims to provide the state of bioenergy and its contribution to the country’s economic sector and to enhance the replacement of fossil fuels with bioenergy resources and technology. A total blackout of 15,913 h has been experienced since 2014, according to the weekly system status report released by ESKOM. The power utility (Eskom) responsible for power generation and utility has attributed this problem to insufficient generation and capacity. Based on this, the country is embarking on solving this problem. Although the country is dominated by coal (fossil fuel), constituting 73.8% of the total energy supply, this poses a serious environmental risk and health hazard. Renewable energy is considered an alternative energy source, and its introduction and implementation look promising in reducing and solving the current energy crisis. With abundant renewable energy potential, representing 8.7% of the total energy supply, around 85% is bioenergy. This review’s findings revealed that bioenergy contributed mainly towards heat, and fuels admit other energy sources, which is recommended. Therefore, its deployment on a large scale is promising and possible. This study will guide and further encourage the deployment of bioenergy projects in South Africa.

Abstract Tu133: Cardiac Adaptations and Mitochondrial Protection Through Long Noncoding RNAs Regulation in Mice on a Ketogenic Diet

Background: Heart failure, characterized by a metabolic imbalance, leads to impaired mitochondrial ATP production. Ketone bodies not only serve as an alternate energy source but also mitigate heart failure by reducing cardiac remodeling and inflammation. The role of long noncoding RNAs (lncRNAs) in cardiac remodeling and mitochondrial metabolism is increasingly appreciated, and this study examines the effect of ketogenic diet on cardiac lncRNA regulation and mitochondrial protection. Methods and Results: In a six-month study, 10-week-old male and female C57BL/6J mice were assigned to either a control diet (10% fat, 20% protein, 70% carbohydrate) or a ketogenic diet (Keto; 80% fat, 15% protein, 5% carbohydrate). Data were analyzed using unpaired two-tailed t-tests (GraphPad Prism) and reported as mean ± SE. The keto diet significantly increased blood ketone bodies (n=36/group), indicating ketosis, and led to weight gain as well as a significant decrease in heart mass relative to body weight, suggesting cardiac metabolic adaptation (Fig 1A-B) . The cardiac expression analysis of lncRNAs Anril, Caren, Carmn, Gm15441, Malat1, Miat, and Oip5-as1 via qPCR (n=13/group) revealed significant upregulation of Anril and Malat1 in the Keto hearts ( Fig 1C-D ), indicating their potential regulatory roles under ketogenic conditions. Sex-specific differences were not observed in the lncRNA expressions. Key proteins involved in mitochondrial biogenesis, protection, and metabolic adaptation, including Nrf2 and PGC1α, were significantly increased at both mRNA and protein levels (n=6-10) in the hearts of mice on keto diet ( Fig 1E-H ). Conclusion: A six-month ketogenic diet in mice promotes cardiometabolic adaptations characterized by a reduction in relative heart mass and activation of key proteins involved in mitochondrial biogenesis and protection possibly through lncRNAs Anril and Malat1. These findings shed light on novel molecular targets and the potential of ketogenic diet/ketone bodies in treating heart failure.

Fabrication of self‐supported catalysts via electrodeposition for proton exchange membrane water electrolysis: Emphasizing on the porous transport layers

AbstractThe potential of proton exchange membrane water electrolysis (PEMWE) is enormous in tackling worldwide environmental and energy issues in the face of increasing risks associated with climate change and energy scarcity. Nevertheless, the economic competitiveness of hydrogen production is hindered by the challenging operating conditions in acidic environments, resulting in a lower unit cost compared to alternative energy sources. Hence, numerous global research endeavors persist in enhancing the efficiency of essential components in PEMWE systems, specifically the porous transport layer (PTL). Additionally, investigating the interface between catalyst layer (CL) and PTL, which is directly associated with system performance, is imperative for future sustainability and cost reduction. This review focuses on the analysis of fabrication techniques, materials, and structural configurations to enhance the performance of PTLs. Additionally, we suggest the use of self‐supported catalysts as potential solutions to enhance mass and charge transfer at the interface between CLs and PTLs, hence facilitating the production of hydrogen on a wide scale. In the last section we provide an overview of the future trajectory and potential of next‐generation PEMWE in the context of efficient hydrogen production.

Production and characterization of coconut shell charcoal-based bio-briquettes as an alternative energy source for rural communities

The increasing demand for sustainable energy solutions has driven interest in the utilization of agricultural residues, such as coconut shells, for bio-briquette production. This study investigates the impact of binder types (cassava and corn) and concentrations (5 wt%, 10 wt%, 15 wt%) on the properties of bio-briquettes made from dried coconut shells with two particle sizes (40 mesh and 60 mesh). The experimental evaluation focuses on several performance indicators, including density, shatter index, percentage moisture content (PMC), percentage volatile matter (PVM), percentage ash content (PAC), percentage fixed carbon (PFC), higher heating value (HHV), ignition time, burning time, and boiling time. The results indicate that briquettes with 10 % fine charcoal cassava binder achieved the highest density of 0.764 g/cm³ due to improved compaction. Briquettes with 15 % coarse charcoal corn binder demonstrated the highest shatter resistance at 96.99 %, reflecting their superior structural integrity. The highest PMC and PVM values were observed in briquettes with 15 % coarse charcoal cassava binder, at 8.13 % and 31.25 %, respectively. Conversely, the highest PAC was 16.34 % for 5 % coarse charcoal cassava binder. Briquettes with 10 % fine charcoal corn binder exhibited the highest PFC of 70.79 % and HHV of 31.51 MJ/kg. Boiling times ranged from 15 min 53 s to 36 min 35 s, with the shortest boiling time for briquettes with 10 % fine charcoal corn binder. The findings highlight the superior mechanical properties and energy performance of bio-briquettes with specific binder concentrations and particle sizes. This study demonstrates the potential of coconut shell bio-briquettes as a viable and sustainable energy source, offering economic and environmental benefits through the effective utilization of agricultural waste and reduction of carbon emissions.

A mathematical model of an off-grid hybrid energy system utilizing the reversible solid oxide fuel cell

Abstract The current energy transition focuses on decentralizing energy systems by implementing alternative energy sources. Integrating distributed energy sources into functional hybrid energy systems has proven to be a difficult task. To solve this problem, it is important to conduct an in-depth analysis of the energy system through the preparation of a mathematical model. The study aims to model and simulate the operation of an off-grid self-sustainable energy storage system for single-family household use by utilizing solid oxide technology. The proposed system consists of photovoltaic modules and an energy storage system including batteries, reversible solid oxide fuel cells, and hydrogen storage tanks. To integrate these energy resources into one system, an energy management system, in which the solid oxide stack is used as a backup generator or a hydrogen production device, is implemented. Finally, a numerical simulation of the system’s operation is run to estimate the system’s performance over a one-year time period. The prepared model can find many practical applications, such as optimizing system costs, environmental impact, or the energy management system.

Forest Clearance and Fragmentation for Charcoal Production: The Case of Bimbia Bonadikombo Forest, South West Region, Cameroon

The exploitation activities of man on natural resources have hardly been sustainable. This study examined the implication of charcoal production on the Bimbia Bonadikombo forest and it’s environ. The study employed both direct field observation and questionnaire administration for data gathering. Questionnaires were administered to charcoal producers and persons involved in charcoal related activities. Persons were selected using snowball technique. A total of 42 copies of questionnaires were administered to charcoal producers and related activities. Tree species used for charcoal production were noted and identified. The questionnaire was divided into five sections:(i), socio-demographic characteristics of charcoal producers, (ii), methods of charcoal production and species selected (iii), aspects influencing charcoal production and the implication on the ecosystem, (iv), seasonal trends and challenges faced (v) mitigation strategies used). Data collected were organized in Microsoft Excel and Statistical Package for Social Sciences (SPSS) was used for the analyses. Pearson (ρ) correlation association was used for the relationship between variables of production and the demand of charcoal. The result revealed that, majority of the respondents, 78.57%, were males while females were least 21.43%. Majority of the respondents (54.76%) were between the ages of 31-46 while the least with ages > 47. Lophira alata 14 (35.71%) was the tree species ranked 1st while Irvingia gabonensis1 (2.38%) was the least and ranked 8th. The main aspect that influenced production was revenue generated 14 (33.33%) while weak institutions 2(4.76%) and crises situations 2(2(4.76%) were the least. Deforestation 12(28.57%) and habitats destruction 8(10.04%) were reported as the main effects caused by charcoal production. Production and the demand of charcoal variables showed a positive association (0.153±.361). The management strategies employed were: only matured trees were used for charcoal production, permanent charcoal pit kiln are dug out of forest canopy and only few tree species are used for charcoal production. For mitigation purposes used are: domestication, protecting wild charcoal trees in their farms and nurseries establishment. This study recommends that charcoal is a major source of energy and alternative source of energy when others failed or insufficient. Therefore, this source of energy can be enhanced to be more eco friendly and environmentally sustainable.

Exploiting Lubricant Formulation to Reduce Particle Emissions from Gas Powered Engines

The present paper illustrates the results of an experimental study aimed at evaluating the effect of lubricant oil features on the emissive behaviour of a heavy duty spark ignition engine fuelled with methane. The activity was performed within a research project between CNR-STEMS and TotalEnergies in which oils with different formulations were characterized, focusing on their potentiality in particle emission reduction. Considering the ultralow particle emission level in the exhaust of gas engines, a specific testing procedure was designed to guarantee highly reliable and accurate results. In particular, the engine was operated under transient conditions, along the World Harmonized Transient Cycle in cold- and hot-start conditions. The results of the test campaign clearly highlight that the lubricant formulation is a key technology for the control of particles, revealing this as an important aspect in view of the upcoming severe regulation limits on particle emissions. The experimental findings show the capability of reformulated oils to drop down the total particle number to 60–70% with respect to a baseline standard oil. The interest in the present study also lies in providing information extendable to more sustainable fuels, like hydrogen or biomethane, nowadays of great interest as alternative energy sources.

A Sustainable Free-Standing Triboelectric Nanogenerator Made of Flexible Composite Film forBrake Pattern Recognition in Automobiles.

In recent years, the automotive industry has made significant progress in integrating multifunctional sensors to improve vehicle performance, safety, and efficiency. As the number of integrated sensors keeps increasing, there is a growing interest in alternative energy sources. Specifically, self-powered sensor systems based on energy harvesting are drawing much attention, with a main focus on sustainability and reducing reliance on typical batteries. This paper demonstrates the use of triboelectric nanogenerators (TENGs) in a computer mouse for efficient energy harvesting and in automobile braking systems for safety applications using SrBi2Ta2O9 (SBTO) perovskite, blended PDMS composite operating in free-standing mode with an interdigitated patterned aluminum electrode. This self-powered sensor is capable of distinguishing between normal and abnormal braking patterns using digital signal processing techniques. It is noteworthy that the addition of 15%wt. of the SBTO in PDMS composite-based TENG delivered 13.5V, 45nA, and an output power of 0.98µW. This new combination of energy harvesting and safety applications enables real-time monitoring and predictive maintenance in the automotive industry.

Bioethanol: A Sustainable Liquid Fuel as Substitute to Gasoline

Abstract: Fossil fuel dependence is a growing concern due to its contribution to greenhouse gas emission, climatic change and environmental pollution. This highlights the urgency for alternative source of energy that is renewable, environmental friendly, stability in price, and attractive for sustainable development. Bioethanol, a biofuel has emerged as the most acceptable liquid fuel and as a promising alternative to gasoline. Bioethanol, derived from sugars and starch, has raised sustainability concern as it can lead to competition for land use and potentially driven-up food prices especially in developing countries. Meanwhile, Lignocellulosic biomass, a non-food resources, abundant in cellulose and hemicellulose, present a more sustainable feedstock for bioethanol production. This approach could offer advantages like affordability, environmental friendliness, reduce reliance on traditional fuels and compensate for fuel scarcity. Furthermore, bioconversion technology of lignocellulosic biomass to bioethanol is required to improve its efficiency and cost effectiveness, making it a highly attractive option for a greener energy in the future.

The Organic Waste Processing as an Alternative Energy Source of Bio- Briquettes For Kedung Klinter Citizen Surabaya

The Organic Waste Processing as an Alternative Energy Source of Bio- Briquettes For Kedung Klinter Citizen Surabaya

Effect of buoyancy force on buoyancy waterwheel efficiency using numerical flow simulation

In this work, the performance of a buoyant waterwheel to produce hydrokinetic power is investigated through analytical theory and computational fluid dynamics simulation. The impact of the buoyancy wheel is investigated by establishing the performance parameters through the use of a moving mesh approach and a realizable k-ε turbulence model. Transient simulation is required to comprehend the flow of physical processes. Using moving mesh as a transient methodology of the buoyancy waterwheel, numerical flow simulations and theoretical analytical methods are used in this study to assess the effect of buoyant force generated on the performance of the buoyancy wheel. The buoyancy waterwheel that will be put to the test has eight straight blades and a diameter of one meter. The pinwheel force and torque created in the numerical flow simulation (CFD) are 414.96 N and 207.48 Nm, respectively, whereas in the theoretical calculation they are 449.06 N and 224.53 Nm, according to the research findings. It is possible to compute the buoyancy wheel's power output and efficiency mathematically, yielding values of 1619.35 W and 68.07%. The buoyancy wheel's power output and efficiency, as determined by numerical flow simulation, are 1495.95 W and 62.88%, respectively. Based on theoretical and CFD study results, the buoyancy wheel generates a standard deviation of 7.62%. Thus, for the buoyancy wheel, a temporary method that makes advantage of the moving mesh characteristic is advised. This method can also be applied as a future alternative energy source for the Piko hydro turbine

Strategy for developing the utilization of organic waste as an alternative source of electricity in Indonesia

Background: Indonesia has pledged to reach its Net Zero Emission target by 2060, necessitating the shift to renewable energy sources. To achieve this, Indonesia must transition from its current reliance on fossil fuel power plants to renewable energy generators, ensuring the same or greater electricity capacity. One viable renewable energy source is organic waste. This study aims to explore strategies for developing organic waste as an alternative energy source to bolster Indonesia's energy resilience and environmental sustainability. Method: The research employs a qualitative approach, including literature reviews and qualitative descriptive analysis. Result: Waste to Energy (WtE) processes convert waste into electricity and/or heat, aiding in greenhouse gas reduction, improving waste management efficiency, and supporting sustainable development. WtE technologies can utilize both thermochemical and biochemical methods to convert waste into energy. The Indonesian government is known to have 12 projects to accelerate the installation of Waste Processing into Electrical Energy, both the Waste Power Plants that have been in operation and under construction and using gasification as the method. The development of WtE faces various challenges ranging from completeness and consistency of regulations, high tipping fees, complex cooperation mechanisms and business models, problems with the characteristics and nature of Indonesian waste that need special handling, and rejection from residents. Conclusion: Strategies that can be implemented in developing WtE in Indonesia include drafting policies and regulations, increasing public awareness, collaboration with the private sector, choosing the right technology, developing infrastructure, increasing the efficiency of waste collection, and international partnerships. Novelty/Originality of this study: This research offers concrete strategies to develop Waste to Energy (WtE) technology in Indonesia, including policy formulation, increasing public awareness, and collaboration with the private sector to utilize organic waste as a renewable energy source to support the 2060 Net Zero Emission target.

Optimizing calliandra (Calliandra calothyrsus) biomass pellets: Impact of particle size and bark composition

Calliandra biomass pellets offer a promising alternative energy source to replace fossil fuels. Typically, these pellets are produced by directly processing the stem and bark of the calliandra (Calliandra calothyrsus) plant without separation, aiming for manufacturing efficiency. This study investigated the quality differences between calliandra biomass pellets with and without bark and varying particle sizes. Particle sizes used were 20 mesh, 40 mesh, and 60 mesh. The pellets were made using a 12 mm diameter biomass pellet mold and a manual hydraulic press with a pressure of 3 tons. Characterization involved assessing proximate analysis, calorific value, physical and mechanical properties, and Fourier Transform Infrared analysis. The test results were compared with biomass pellet standards from Indonesia, Japan, Korea, and Germany. Results indicate that bark affects several properties, with higher ash content observed in pellets with bark due to the higher mineral content in bark. Volatile matter decreases with finer particle size, influencing combustion rate. Moisture content is higher in pellets with bark, impacting combustion efficiency and smoke production. Fixed carbon values are influenced by moisture and volatile matter content. Calorific values are generally higher in pellets without bark and smaller particle sizes. Density and compressive strength increase with decreasing particle size. FTIR analysis reveals differences in functional groups between pellets with and without bark, indicating variations in chemical composition. Overall, this research provides insight into the potential of calliandra biomass pellets with bark and without bark along with particle size as a renewable energy source.

Pemanfaatan Potensi Sekam Padi sebagai Sumber Energi Alternatif Ramah Lingkungan dan Meningkatkan Kualitas UMKM di Desa Beringin Kencana

The main problem faced by Beringin Kencana Village is the waste of rice husk waste, which is often burned or disposed of without further utilization. The purpose of this study is to optimize the potential of rice husks as an environmentally friendly alternative energy source and to improve the quality of MSMEs in the village. The methods used in this study include surveys and interviews with farmers and MSME actors, SWOT analysis, case studies on the application of technology, and trials of converting rice husks into energy. The results of the study show that the application of rice husk conversion technology has succeeded in reducing waste, providing efficient energy alternatives, and increasing MSME income by 20%. The application of this technology also has a positive impact on the environment by reducing carbon emissions and the use of fossil fuels. With these results, Beringin Kencana Village can be an example for other villages in utilizing agricultural waste sustainably.