Reduce Energy Consumption Research Articles

Analytical solutions and stability of periodic attitude motions of gyrostat spacecrafts in weakly elliptical orbits

This paper investigates the periodic attitude motion of a gyrostat spacecraft in weakly elliptical orbits, focusing on the derivation of approximate analytical solutions and their stability. Unlike circular orbits, which allow for three types of regular precession, elliptical orbits are limited to cylindrical precession. Notably, the research identifies stable periodic attitude motions with the period matching the orbital period near hyperbolic precession in weakly elliptical orbits. The approximate analytical solutions for these periodic motions are derived and validated through numerical simulations of the spacecraft's nonlinear attitude dynamics. Stability analysis reveals that non-resonant scenarios yield stable periodic attitude motions, while internal and combination resonances may induce instability. These findings provide valuable insights for the design of spacecraft systems, enhancing energy-efficient attitude control essential for long-duration missions and optimizing operational performance in various aerospace applications. By leveraging the natural stability of periodic motions in elliptical orbits, this approach has the potential to enhance control accuracy, reduce energy consumption, and extend mission lifespans.

AI-based processing of future prepared foods: Progress and prospects.

The prepared foods sector has grown rapidly in recent years, driven by the fast pace of modern living and increasing consumer demand for convenience. Prepared foods are taking an increasingly important role in the modern catering industry due to their ease of storage, transportation, and operation. However, their processing faces several challenges, including labor shortages, inefficient sorting, inadequate cleaning, unsafe cutting processes, and a lack of industry standards. The development of artificial intelligence (AI) will change the processing of prepared foods. This review summarizes the progress and prospects of AI applications in the sorting/classification, cleaning, cutting, preprocessing, and freezing of prepared foods, encompassing techniques such as mathematical modeling, chemometrics, machine learning, fuzzy logic, and adaptive neuro fuzzy inference system. For example, AI-powered sorting systems using computer vision have improved accuracy in ingredient classification, while deep learning models in cleaning processes have enhanced microbial contamination detection with high spectral imaging techniques. Despite challenges like managing large-scale data and complex models, AI has shown significant potential to inspire both industry practice and research. AI applications can enhance the efficiency, accuracy, and consistency of prepared foods processing, while also reducing labor costs, improving hygiene monitoring, minimizing resource waste, and decreasing environmental impact. Furthermore, AI-driven resource optimization has demonstrated its potential in reducing energy consumption and promoting sustainable food production practices. In the future, AI technology is expected to further improve model generalization and operation precision, driving the food processing industry toward smarter, more sustainable development. This study provides valuable insights to encourage further innovation in AI applications within food processing and technological advancement in the food industry.

Instant oxidase- and peroxidase-mimic activities of in-situ reductive coordinated Cu(I)-polytrithiocyanuric acid for H2S colorimetric detection and antibacterial

Integrating preparation and utilization of nanozymes in a “one-pot” approach offers advantages over conventional discrete synthesis and application methods by eliminating laborious syntheses, reducing energy consumption, and minimizing chemical waste. Herein, we revealed the instant oxidase- and peroxidase-mimic (OD-/POD-mimic) activities of in-situ formed Cu(I)-polytrithiocyanuric acid (i:Cu(I)-pTTCA) polymers. The polymers were assembled through reductive coordination between Cu2+ and trithiocyanuric acid and immediately exhibited intrinsic OD- or POD-mimic activities. The presence of unsaturated Cu(I)···S=C coordination moieties was identified as the underlying cause of the high OD-/POD-mimic activities of i:Cu(I)-pTTCA. This was confirmed by experiments and density functional theory calculations, which demonstrated that the coordination moieties facilitated the activation of O2 and H2O2 into reactive oxygen species. The i:Cu(I)-pTTCA was formed in-situ and directly employed for the colorimetric detection of H2S with a limit of detection of 0.032μM and the visual array discrimination of H2S and biothiols in the range of 0.5-10μM. The i:Cu(I)-pTTCA was further demonstrated as a self-prescribed antibacterial agent capable of inactivating up to 98% and 96% of E. coli and S. aureus, respectively. Our findings provide an in-depth understanding of the direct formation-structure-catalysis relationship of nanozymes.

Advancing Zero-Carbon community in China: Policy Analysis, implementation Challenges, and strategic recommendations

Zero-carbon community (ZCC) is essential in addressing critical social and environmental challenges, particularly in reducing energy consumption, lowering carbon emissions, and decreasing reliance on fossil fuels. However, several issues are still unclear, including inconsistent definitions of ZCC, the lack of detailed policy analyses, and limited exploration of implementation challenges and solutions persist. This study addresses these gaps by conducting a comprehensive analysis of the drivers and barriers to ZCC development in China. It begins with a detailed review of the definitions of ZCC, comparing and contrasting them from both domestic and international perspectives. Then, it evaluates existing incentives, categorizes them into policy documents, laws, and standards while assessing their evolution and real-world applications. This study also presents case studies of exemplary ZCC, including the Beddington Community in the UK and the Zero Carbon Pavilion at the Shanghai World Expo Park in China. These cases offer insights into practical approaches, societal impacts, and advanced practices, proposing a ZCC construction model tailored to China’s unique economic and policy environment. Furthermore, the study identifies key barriers to adopting ZCC in China and proposes targeted recommendations across five domains: administrative, economic, technological, socio-cultural, and environmental. A “macro-meso-micro” implementation pathway is developed, emphasizing stakeholder collaboration as a core element for successful execution. This study systematically reviews and critically analyzes current policies and practices related to ZCC, and offering valuable theoretical guidance for developing regulations and standards, along with practical solutions to address current implementation challenges.

Optimal task partitioning to minimize failure in heterogeneous computational platform

The increased energy consumption by heterogeneous cloud platforms surges the carbon emissions and reduces system reliability, thus, making workload scheduling an extremely challenging process. The dynamic voltage- frequency scaling (DVFS) technique provides an efficient mechanism in improving the energy efficiency of cloud platform; however, employing DVFS reduces reliability and increases the failure rate of resource scheduling. Most of the current workload scheduling methods have failed to optimize the energy and reliability together under a central processing unit - graphical processing unit (CPU-GPU) heterogeneous computing platform; As a result, reducing energy consumption and task failure are prime issues this work aims to address. This work introduces task failure minimization (TFM) through optimal task partitioning (OTP) for workload scheduling in the CPU-GPU cloud computational platform. The TFM-OTP introduces a task partitioning model for the CPU-GPU pair; then, it provides a DVFS- based energy consumption model. Finally, the energy-load optimization problem is defined, and the optimal resource allocation design is presented. The experiment is conducted on two standard workloads namely SIPHT and CyberShake workload. The result shows that the proposed TFA-OTP model reduces energy consumption by 30.35%, reduces makespan by 70.78% and reduces task failure energy overhead by 83.7% in comparison with energy minimized scheduling (EMS) approach.

Effects of low-salt stress on biological characteristics and transcriptomic profiles of Vibrio parahaemolyticus.

Studies have proved that halophilic Vibrio parahaemolyticus is widely detected in freshwater environments (salinity <0.5%). However, the growth and colonization of V. parahaemolyticus in low-salt environments remain unclear. This study was envisaged to assess the effects of low-salt stress on the growth, motility and biofilm formation of V. parahaemolyticus and the transcriptomic changes that the bacterium responds to such stress. The results indicated that low salt concentrations supported the growth (allowing growth to proceed, though at a lower speed) of V. parahaemolyticus, prolonged the lag time (LT), and decreased the maximum specific growth rate (μmax) of V. parahaemolyticus. Additionally, this low salinity inhibited its motility and enhanced its biofilm formation capacity. Notably, the growth of V. parahaemolyticus on both freshwater and marine-cultured Litopenaeus vannamei exhibited a similar trend, suggesting that V. parahaemolyticus might have adapted to thrive in freshwater food. Furthermore, the reasons for the support of V. parahaemolyticus growth in 0.25% NaCl was analyzed by transcriptome sequencing (RNA-seq). RNA-seq revealed that V. parahaemolyticus can improve resistance to adverse environments by reducing energy consumption and enhancing oxidative stress resistance to adapt to a low-salt environment. This study revealed that the freshwater environment supported the growth of V. parahaemolyticus and its influence on the growth of V. parahaemolyticus, providing valuable theoretical support for risk assessment.

Impact of dual-carbon attention competition from local government on regional carbon emissions in China.

Extreme climate change induced by carbon emissions has received extensive attention from governments worldwide. Strong competition in local governments' dual-carbon attention (GCA) produces an effective influence on the reduction of regional carbon emissions, confirming crucial policy implications. In this study, textual content analysis is employed to measure the GCA level and GCA competition, and the mechanism by which GCA competition reduces regional carbon emissions in China is explored from the perspective of competition behaviors. The findings demonstrate that the increase of GCA competition positively influences the reduction of regional carbon emissions. Influence mechanism analyses verify that increasing GCA competition primarily stimulates the greater reduction of regional carbon emissions by intensifying competition in energy consumption reduction and the optimization of the energy consumption structure. The influence of GCA competition on reduced regional carbon emissions is significantly related to industrial structure upgrading, the energy consumption structure, and environmental governance investment, as well as inter-government competition in these areas. The detailed findings of this research can provide economic and environmental benefits for policymakers, and can provide corporations with more targeted policy recommendations related to dual-carbon attention and carbon emission reduction.

Energy performance and decarbonization evaluation of a novel positive energy building using solar PV

Positive Energy Buildings (PEBs) are vital for reducing energy consumption and promoting renewable energy. This study introduces a progressive method to evaluate the energy performance and decarbonization of a PEB warehouse in Central Taiwan, utilizing Building Integrated Photovoltaic (BIPV) façades and recycled coal ash concrete. The research analyzes building energy performance and renewable energy generation through energy modeling, considering different ventilation configurations and BIPV arrangements. The findings emphasize that a VRF cooling system saves 16.39% energy compared to a chiller system. The study also revealed that improving the arrangement of BIPV on the building façade significantly enhances solar energy generation efficiency even with fewer photovoltaics (PVs). The decarbonization aspect is evaluated by estimating the embodied carbon and CO2 emissions during the operational period. The PEB is projected to have a 70-year operational lifespan, functioning as a PEB for approximately 42 years, a Net Zero Energy Building (NZEB) for the following 10 years, and maintaining energy efficiency for an additional 20 years. The BIPV system enables the building to remain carbon-free for up to 50 years of operation and achieve substantial carbon savings, with 90% CO2 emissions reduction after 70 years, amounting to 243,111 kgCO2e/year. The study concludes that adequate maintenance and preservation can significantly enhance building performance and longevity.

Combined ventilation mode in extra-long road tunnels: Energy efficient channel utilization with the inclined shafts

The ventilation mode plays a dominate role in addressing the feasibility of an extra-long tunnel. In this paper, a combined ventilation mode, i.e. energy efficient channel utilization with the inclined shafts, is proposed to ensure the air quality and fire safety in the extra-long road tunnel. Combined with the equations of ideal air, mass and energy conservation, and boundary conditions, the velocity of internal airflow and the energy consumption of tunnel can be analytically solved. As regards the case study in the Tongzi Tunnel in China, the scheme of combined ventilation mode of single channel and inclined shafts was proposed. The effects of natural wind pressure, traffic wind pressure and mechanical ventilation pressure on tunnel ventilation energy consumption were considered. In addition, the energy efficient channel is a strong substitution for shafts to enhance the efficiency of the ventilation. Based on the results, the position of the vertical shaft and single channel in combined ventilation was optimized. Compared with original ventilation scheme, the new method can save up to 40% ventilation energy consumption in daily operation, and saving 1.02 million CNY in electricity costs per year and improving long-term economic efficiency. In the fire emergency, the combined ventilation mode can more effectively control smoke for larger scale tunnel fires. In particular, when the power of the fire source exceeds 30 MW, the required critical wind speed increase rate is reduced to 0.01 m/s per MW. The analysis of ventilation mode undertaken here, has extended our knowledge of reducing energy consumption and maintenance costs in the extra-long tunnel operation.

Architectural coatings and temperature Adaptive radiative cooling strategies applied in ten climate zones in China: Annual energy consumption Reductions and potentials

This research evaluates the energy-saving potential of high-reflectivity building materials, including three common coating types—normal (absorptivity 0.8, emissivity 0.8), cooling (absorptivity 0.2, emissivity 0.9), supercooling (absorptivity 0.05, emissivity 0.95), and Temperature-Adaptive Radiative Cooling (TARC) materials across 49 representative cities within ten climate zones in China using computational fluid dynamics simulations combined with the Demand.ninja energy consumption model. The results reveal that optimal solar absorptivity varies significantly between different climate zones, with higher absorptivity benefiting colder regions and lower absorptivity benefiting hotter regions. Urban microclimate simulations confirm that low solar absorption materials effectively reduce wall temperatures during the daytime and boost overall cooling energy savings, despite a slight increase in ambient air temperature. Building height-to-width ratios also influenced energy efficiency, with the best performance observed at a ratio of unity for both cooling and supercooling materials. Additionally, tests on the Temperature-Adaptive Radiative Cooling (TARC) materials demonstrate that TARCs offer significant energy-saving advantages, achieving an annual saving of 23.1 billion kWh across China by effectively balancing heating and cooling demands across different seasons. This superior performance is primarily attributed to TARCs’ ability to mitigate increased heating energy demands often associated with conventional cooling materials, especially in regions with substantial winter heating needs. Present research has highlighted the importance of climate-specific building material strategies and the potential of innovative materials like TARC for reducing energy consumptions, and this could favour the low carbon urban development.

Non-sterile fermentation for enhanced lipid production by Cutaneotrichosporon oleaginosum using bifunctional benzamide as selective antibacterial agent and unique nitrogen source

The commercial success of micro-biodiesel is currently impeded by the high lipid production cost. Here, a novel non-sterile lipid fermentation strategy was successfully developed by using bifunctional benzamide as selective antibacterial agent and unique nitrogen source. DCW, lipid concentration, and lipid content reached 24.45 g/L, 15.85 g/L, and 64.80 % when Cutaneotrichosporon oleaginosum was cultured on 60 g/L glucose supplementing 1.5 g/L benzamide as sole nitrogen source under non-sterile condition in a 3-L bioreactor. Interestingly, the non-sterile fermentation containing high-loading of bacteria resulted in comparable lipid production with sterile fermentation. This non-sterile strategy could be expanded to inexpensive substrates including crude glycerol and cassava starch hydrolysate. The fatty acid compositions indicated lipids prepared by the non-sterile fermentation were suitable for biodiesel production. By avoiding the sterilization process, this strategy could effectively reduce energy consumption and simplify the production process, which was promising for improving the techno-economics of the lipid production technology.

Wireless sensor network for fire detection with network coding to improve security and reliability

This article proposes a wireless sensor network (WSN) for fire alarm systems that leverages network coding to enhance system reliability and security. The proposed WSN is designed to comply with European standards, with a particular focus on German standards, and enables the deployment of sensor nodes that automatically construct a robust and reliable network. The self-healing, redundant, decentralized routed network ensures uninterrupted functionality in case of a communication failure. The network coding technique is utilized to manage the surge in data traffic during hazard situations, reducing the overall number of telegrams while maintaining data integrity and reliability. By implementing network coding, the proposed WSN reduces energy consumption and enhances the efficiency and reliability of fire alarm systems, thereby contributing to greater safety in emergency situations. To further leverage the advantages of network coding, a new decentralized routing technique is introduced. This technique operates locally on nodes through the use of virtual cluster heads and an innovative Weighted Composite Value (WCV) Table, optimizing routing decisions for improved performance and scalability. This article provides a comprehensive exploration of the benefits of network coding in WSNs for fire alarm systems and presents a real-world implementation, demonstrating its potential for improving the performance of these systems.

Impacts of HVAC cleaning on energy consumption and supply airflow: A multi-climate evaluation

Energy-efficiency interventions are crucial for sustainable building operations to accommodate emerging indoor air quality (IAQ) criteria into their engineering life cycles. While several studies have addressed building energy consumption and IAQ considerations separately, few provide integrated analysis of these aspects in response to building hygiene practices. In response, this study evaluates the effectiveness of routine heating, ventilation, and air conditioning (HVAC) cleaning on energy consumption and supply airflow patterns in non-residential public buildings. This study juxtaposes HVAC energy consumption and ventilation performance before, during and after routine HVAC cleaning, across buildings situated in four different climate zones, while operating in cooling mode. Each site had nearly identical HVAC systems serving similar architectural features and occupational loads; these were segregated into an intervention (cleaned HVAC system) that could be compared to an otherwise identically operating HVAC (control system), which was not cleaned. Following prescriptive cleaning, HVAC systems exhibited significant energy consumption reductions and delivered higher airflows compared to their uncleaned counterparts. On average, intervention systems saved between 41 % and 60 % on conveyance (fan/blower) energy, with one exception, and supplied 10 % and 46 % more airflow compared to their uncleaned counterparts. This research demonstrates how a new generation of low-cost HVAC system monitors can compile Internet of Things (IoT) archives to show immediate energy consumption benefits associated with cleaning HVAC components and their associated ductwork serving relatively high occupancy commercial and educational spaces.

Energy-efficient Methods for Controlling Biofouling in Water Treatment Membranes and Future Directions

This paper aims to address the critical issue of biofouling in water treatment membrane systems, which decreases operational efficiency and increases energy consumption. The study explores energy-efficient biofouling control methods, focusing on established and emerging technologies. The review examines various approaches, including surface modification, antimicrobial nanomaterials, and photocatalytic membranes. Techniques using zwitterionic polymers, amphiphilic coatings, silver nanoparticles (nAg), and nanodiamonds (UDD) are analyzed for their effectiveness in mitigating biofouling. Photocatalytic membranes employing Metal-Organic Frameworks (MOFs) are also evaluated for their sustainable microbial inhibition capabilities. Surface modification techniques demonstrated the potential to alter membrane hydrophilicity, effectively preventing microbial adhesion and biofilm formation. Incorporating antimicrobial nanomaterials such as nAg and UDD disrupted microbial cell membranes and enhanced hydrophilicity, significantly increasing biofouling resistance. Photocatalytic membranes utilizing MOFs produced reactive oxygen species (ROS) under light exposure, providing a sustainable and energy-efficient approach to biofouling control. However, the integration of real-time monitoring systems and AI-based predictive models remains necessary to further optimize membrane performance and reduce energy consumption. The development of multifunctional membranes that combine biofouling resistance with resource recovery capabilities is essential to tackle the global water crisis and ensure access to clean water. Continued research in integrating advanced technologies such as AI and sustainable materials will be pivotal in advancing energy-efficient biofouling control.

Enhance Photovoltaic/Thermal (PV/T) System Performance by Using Nanofluid

High temperatures significantly degrade the performance of photovoltaic (PV) panels, particularly in hot regions. To mitigate this issue, hybrid PV/thermal systems have emerged, combining PV panels with thermal collectors. These systems utilize a cooling fluid to remove excess heat from the PV panels, improving their efficiency and enabling the recovery of thermal energy. This study investigates the potential of nanofluids as a superior cooling medium for hybrid PV/thermal systems. Nanofluids, engineered suspensions of nanoparticles in base fluids, offer enhanced thermal properties compared to conventional fluids. A numerical analysis using the finite volume method (FVM) based on Ansys software / CFD fluent was conducted to simulate the performance of a hybrid PV/thermal system under hot weather conditions. The study focused on natural convection cooling, eliminating the need for pumps and reducing energy consumption. Results indicate that decreasing the inlet velocity of the nanofluid significantly reduced the surface temperature of the PV panels. A reduction in inlet velocity to 0.0001 m/s led to a 4.5 K decrease in surface temperature, while a velocity of 0.00005 m/s resulted in a 6 K decrease. Conversely, the temperature of the nanofluid outlet increased by 16 K and 30 K for the respective velocities, signifying enhanced heat extraction. These findings demonstrate that optimizing the flow rate of the nanofluid can significantly improve the electrical and thermal performance of hybrid PV/thermal systems. This research contributes to the development of more efficient and sustainable solar energy technologies.

An improved golden jackal optimization - hybrid kernel extreme learning machine approach for fault diagnosis of chillers

Abstract In the context of the dual carbon target, it is particularly important to reduce energy consumption and carbon emissions in the building sector. Chillers, as the main source of energy consumption in building equipment, will significantly exacerbate the building's energy consumption in the event of a failure. In order to improve the detection rate of early chiller failure, an improved golden jackal optimization algorithm (IGJO)-hybrid kernel extremum learning machine (HKELM) chiller fault diagnosis model is proposed. Firstly, to address the problem of slow convergence speed and easy to fall into local optimization of the golden jackal algorithm (GJO), we introduce four strategies, namely, improved sine chaotic mapping, simplex method, fusion of golden sinusoidal formula and Cauchy's variant, and put forward the IGJO algorithm to improve the algorithm's convergence speed and global optimization ability; and then, we use the fast optimization search of the hyperparameters combinations of the HKELM using the IGJO, to build a data-driven model for chiller failure detection; and finally, we use the data-driven model of ASEAN to construct a data-driven model of HKELM. The data-driven model is then used to construct a data-driven model for chiller fault detection; finally, the performance of the proposed model is simulated using ASHRAE 1043-RP. The results show that the accuracy of the proposed IGJO-HKELM model for chiller fault diagnosis reaches 99.83%, which is an obvious advantage compared with other algorithms.

Multi-physics field coupling simulation and experimental study of new green and low energy consumption lithium molten salt electrolyser

ABSTRACT A new type of lithium molten salt electrolytic cell was studied by using multi-physics coupling numerical simulation method and verified by experiment. The distribution of temperature, potential, current density, fluid force and flow field in electrolytic cell was investigated. The results show that the minimum pole distance of the cell is 6 mm, which effectively reduces the pressure drop on the electrolyte to 0.1 V. The mixture of electrolyte and lithium metal can effectively transfer mass through the electrode gap, while the resulting chlorine gas acts as a power source for the entire electrolytic cell, and electric field analysis shows a significant reduction in energy consumption, validating the energy saving potential of the new structure. Pilot tests have determined an energy consumption of 28 KWH/kg of lithium with a current efficiency of 87.5%, a nearly 50% reduction in energy consumption and a more than 30% improvement in current efficiency compared to conventional systems.

Novel Nonaqueous PD/PZ/NMP Absorbent for Energy-Efficient CO2 Capture: Insights into the Crystal-Phase Regulation Mechanism of the Powdery Product.

Solid-liquid biphasic absorbents are a promising solution for overcoming the high-energy consumption challenge faced by liquid amine-based CO2 capture technologies. However, their practical applications are often hindered by difficulties in separating viscous solid-phase products. This study introduces a novel nonaqueous absorbent system (PD/PZ/NMP) composed of 4-amino-1-methylpiperidine (PD), piperazine (PZ), and N-methyl-2-pyrrolidone (NMP), engineered to produce easily separable powdery products. The PD/PZ/NMP absorbent achieves a CO2 loading of 0.86 mol-CO2/mol-amine, with 91% of CO2 concentrated in the solid phase. It demonstrates excellent cyclic stability, maintaining a regeneration efficiency of 91% after five regeneration cycles, and reduces energy consumption by 52% compared with the conventional monoethanolamine absorbent. Remarkably, PZ plays a crucial role in regulating the crystal composition of solid-phase products, transforming them from a viscous state to a crystalline powder. Characterization and density functional theory analysis explain the crystal-phase regulation mechanism: PD absorbs CO2 to form zwitterions (PDH+COO-), affording viscous products, and PZ forms protonated amines (PZH+) and monocarbamates (PZCOO-), which interact with PDH+COO- via hydrogen bonding to form a crystalline powder. These findings demonstrate the CO2 capture efficacy of the PD/PZ/NMP absorbent and provide a robust theoretical framework for fabricating solid-liquid biphasic absorbents tailored for practical applications.

Lightweight Aluminum Alloy for Energy Saving Green Vehicle

This study is devoted to the development of lightweight Aluminum alloy to reduce energy consumption and environment pollution in automobile sector. Aluminum alloy shows impressive strength though they are lightweight. The effect of Cu on Al-5.5Zn-2.5Mg-xCu alloy has been studied and improvement in mechanical properties within a range has been observed. The optical microstructure confirmed the formation of Cu enriched brittle phase by solid solution strengthening and it accelerates the hardness and tensile strength. After certain limit strength followed the opposite trend so the material can be used as high strength material when the Cu content will be in a certain limit. In automobile sector vehicle parts made with this alloy material has less weight than commonly used steel. The total weight reduction of a vehicle will reduce the energy consumption which will ultimately eliminate the emission of environment pollutant gas

Factors Influencing Purchase Intention To Buy Electric Motorcycles In Indonesia With Attitude As A Mediation Variable

The adoption of electric motorcycles in Indonesia requires further study. Electric vehicles (EVs) are widely regarded as the most suitable green technology for application in the automotive sector, offering a means to reduce energy consumption and CO2 emissions. This study develops a model of electric motorcycle adoption intention based on the Theory of Planned Behavior (TPB). The objective of this research is to identify the factors influencing consumer intentions to adopt electric motorcycles. Data were collected through a questionnaire distributed to 390 respondents. The research hypotheses were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that environmental concerns, perceived economic benefits, social influence, and brand awareness have a significant positive impact on consumer attitudes toward electric motorcycles. However, government policies do not significantly affect consumer attitudes or interest in purchasing electric motorcycles in Indonesia. Additionally, perceived risk demonstrates a negative correlation with attitudes, indicating that concerns such as limited range, inadequate charging infrastructure, and battery life issues negatively affect consumer perceptions. Meanwhile, consumer attitudes were found to have a significant positive influence on purchase intentions. These findings provide valuable insights for both the government and electric motorcycle manufacturers. Understanding consumer behavior is essential for designing effective strategies to promote electric motorcycle adoption in Indonesia.