Vehicle Fuel Research Articles

Application of Ant Colony Optimization for the Shortest Path Problem of Waste Collection Process

The search for the shortest path of the waste collection process is an interesting topic that can be applied to various cases, from a very practical basic problem to a complex automation system development. In a dense settlement, the waste collection system can be a challenging process, especially to determine the most optimized path. The obstacles can be circling streets, impassable roads, and dead-end roads. A wrong choice of method can result in wasteful consumption of energy. A possible method to solve the problem is the traveling salesman problem using ant colony search optimization, considering its relatively fast optimization process. Therefore, this paper proposes an application of ant colony and traveling salesperson problem in determining the shortest path of the waste collection process. The case study for the optimization algorithm application is the path UGM Sekip Lecturer Housing is considering. Firstly, the data was collected by measuring the distance between points. Then, the paths were modeled and then compared with the actual route used by waste transport vehicles. The last step is implementing the ant colony optimization and traveling salesman problem by determining the cost function and the parameters. The optimization process was conducted several times, considering the random generator within the algorithm. The simulation results show the probable shortest path with a value of about 752 meters so that the use of fossil fuels in waste transport vehicles can be more efficient. The results show that the algorithm can automatically recommend the minimized path length to collect waste.

Actions Speak Louder than Words: Investigating the Interplay between Descriptive and Injunctive Norms to Promote Alternative Fuel Vehicles

Environmental problems are escalating. Alternate fuel vehicles are a technologically viable solution to curb transport-related pollution and greenhouse gas emissions that cause environmental problems. Based on the theory of norms-driven behavior, this study explains how the underlying facets of subjective social norms (injunctive and descriptive) are linked with personal norms (integrated and introjected) and how this linkage leads to eco-socially conscious consumer behavior related to the choice and use of personal cars. Data were collected from 687 automobile customers from eight large cities in Pakistan. The partial least squares structural equation modeling approach was employed to test the hypothesized relationships of the study. The results showed that subjective norms are positively associated with personal norms, and both together lead to eco-socially conscious consumers’ behavior related to the choice and use of personal cars. Implications for marketers are suggested to promote alternate fuel vehicles and the eco-social use of personal cars.

Solid Oxide Cell Technology for Supply, Recovery, and Storage Energy

Fuel Cell Energy, Inc. (FCE) is advancing the current state of Solid Oxide Fuel Cell (SOFC) technology towards commercial deployment for efficient and nonpolluting generation of electric power from natural gas and biomass derived fuels. Additionally, FCE is utilizing the same solid oxide cell and stack technology in electrolysis of steam for production of hydrogen from renewable sources and other electric power sources, such as nuclear power plants during the curtailment periods. Additionally, FCE’s SOFC technology has shown to be a viable technology for storage of energy by cyclic charge and discharge operation.FCE’s SOFC technology is based on anode supported thin electrolyte planar cell platform chosen for its higher power density at reduced operating temperature (700-800°C). Traditional materials, such as Ni/YSZ anodes, YSZ electrolytes and perovskite cathodes have been utilized in a basic cell structure. Research and development focus has been placed on developing better electrochemical functional areas at both cathode/electrolyte and anode/electrolyte interfaces. This was achieved through material advancements, microstructure optimization, and manufacturing process integration.The solid oxide stack is comprised of planar solid oxide fuel cells with glass ceramic seals and sheet metal, bipolar plate interconnects; and has a mix of internal and external gas manifolds. Each cell is a 0.30 mm thick annular (donut shaped), cell with 81 cm2 active area made in a process consisting of tape casting, screen printing, and firing cell components. The full height stack consists of 350 repeat units and a set of non-repeat parts. A repeat unit includes one ceramic cell, inner and outer seals, and a metallic interconnect which incorporates flow fields for both fuel and oxidant. Non-repeat parts include the end plates, manifolds, and compression components. The stack is capable of producing 7kW power when fueled with natural gas, biogas, hydrogen, or other fuels. The same stack is capable of operating at higher power density in electrolysis mode, producing 25 kg/day hydrogen with 36 kW power input.FCE’s SOFC system design philosophy is based on using factory-assembled stack building blocks, which in turn may be used to fabricate larger multi-stack modules for applications in centralized natural gas and coal fueled power plants. An attractive pathway to deployment of SOFC systems is through near-term market opportunities in natural gas fueled distributed generation (DG) applications. FCE is planning to take the advantage of the scalability, modularity, and fuel flexibility of the SOFC technology to transition the technology from small (sub-MW) systems to megawatt class power plants for distributed generation, and ultimately (through aggregation of fuel cell modules) to large stationary power plants for base-load utility applications using coal and/or natural gas fuel.FCE has recently designed, fabricated, and tested a 200kW natural gas fueled packaged system. This autonomous unit is an outdoor rated power system with capabilities for both grid-connection as well as island operation.Electricity storage is a growing need given the increasing penetration of intermittent renewable sources of solar and wind. Traditional battery storage technology uses rare materials that could pose sourcing challenges and depletion with widespread adoption. Hydrogen based energy storage is the only practical way to store the GWh of energy that will need to be stored to enable significant penetration of intermittent renewable energy on the electricity grid. Another advantage of hydrogen based energy storage is that once hydrogen is stored it can be used to make power, or exported for another use such as vehicle fueling or industrial uses.

Experimental analysis of evaporative emissions of ethanol-blended gasoline in automotive tanks at different temperature conditions

Automobiles are major sources of Volatile Organic Compounds (VOCs) and Very Volatile Organic Compounds (VVOCs), which are emitted not only from their tailpipes while running but also as evaporative emissions from gasoline fueled vehicle tanks and supply systems; these emissions are the main source of pollution for both standard and hybrid vehicles. VOCs and VVOCs can have significant effects on human health and environment, so emissions are subject to many regulations, both European and international, that are becoming increasingly stringent every year. In this paper, an experimental activity has been carried out to evaluate the fuel vapor generation from gasoline-filled fuel tanks. These experimental tests have been conducted by means of a Variable Temperature mini-SHED in Stellantis N.V. laboratories, at the Pomigliano Technical Center, in Italy. Different conditions of temperature and filling levels have been analyzed by monitoring the fuel vapors coming from the tank to the carbon canister. Tests have been divided in two groups with both constant and variable temperatures, by following standard temperature cycles, defined by regulations. Results are presented in terms of vapor temperature profiles and canister mass variation; they demonstrate the high influence of the environment temperature and of the filling levels on the emission.

A Vehicle Fuel Consumption Model on Reconstructed Roads Based on the Roughness and Its Measurement Method

The fuel consumption model for a vehicle forms a basis and method for evaluating the social benefit of road reconstruction. Based on the theoretical fuel consumption model of vehicles, the influence mechanism of the apparent parameters of the road surface on the fuel consumption of vehicles and their sensitivity was analysed. The baseline state was defined on the basis of the roughness, a parameter with significant influence. In addition, a method for acquiring fuel consumption parameters was proposed to establish a one-parameter relational model for the roughness and fuel consumption of vehicles in the baseline state based on measured data. Moreover, by considering the effects of the friction coefficient, deflection of the road surface, and vehicle speed on the fuel consumption, a modified model for the fuel consumption of vehicles applicable to road reconstruction was established. Finally, a method for measuring the energy-saving benefit of vehicles was proposed based on the characteristics of reconstructed roads. The research provides a basis for evaluating the social benefit acquired from reconstructed roads.

Fuel Consumption and Emissions Analysis of a Light Vehicle Fuelled with Two Ethanol–Gasoline Blends in Urban Driving Conditions of Lima Metropolitana

We present a comparative study of fuel consumption, emissions factors, and vehicle-specific power of a light vehicle operating with two gasoline–ethanol blends as fuel: commercial gasohol (E7.8) and an alternative mix with 10% v/v of ethanol (E10). For this purpose, a vehicle in the city’s fleet was equipped with a central system of data acquisition, whose main function was to capture second-by-second data of the air intake of the engine, the emissions concentration levels in the exhaust, the distance traveled, vehicle speed, and environmental conditions during testing. The measuring campaign was carried out in the city of Lima Metropolitana. Fuel consumption was calculated indirectly, using air intake measurements. The vehicle’s engine emissions were analysed using the mass flow rates of CO2, CO, HC, and NOx, as well as the vehicle-specific power. The results show that, in traffic conditions, the change in fuels does not affect the consumption. On the other hand, a correlation was found between the vehicle-specific power and the emissions mass flow. During the comparison between fuels, the results showed an increase in the mass flow standard deviation when using E10.

IOT Based Self Vehicle Pollution Checking, Engine Temperature and Fuel Levels with Prediction Alerts

Pollution detection and ordinary tracking is extraordinarily good-sized errand in this point in time of in our present international. To make a higher and greater steady circumstance for individual, creatures, and plants. We ought to display screen and manage the infection via the Internet of factors innovation. This research proposes air infection and checking version which distinguishes infection in air primarily based totally on statistics mining calculation. The sensor System is used to apprehend the sensor regards from one of a kind fueloline sensors. The microcontroller is applied to trade the features from ADC to server. Information mining is applied to compute the pollution from numerous regions. ID3 set of rules is used to figuring the bottom of the traits on probability. Bluetooth module is applied to interface the controller with the purchaser and the purchaser related to the server via internet administrations. Remote sensors are applied to envision the extent of risky gases gives major all-round that, at last, offers a lower in infection. This framework now no longer simply computes the poisons gift major all-round yet, in addition, we are able to parent to preserve a strategic distance from destiny infection in and might ship the notification message to the particular dirtied location. Here we recall essentially the concoction Industry near Delhi and the metro city groups.These studies paper in particular centered at the evidence of pollutants tracking and locate on precise region or geographical area for an IOT bodily devices that collects statistics with admire to bodily parameters, making use of a complicated microcontroller stage, from one of a kind varieties of sensors, via various techniques of correspondence and after that transfers the statistics to the an internet. The displayed device has been supposed for far flung checking of weather numerous environments. These article facilities across the approach of moving received statistics at the internet with the intention that the device may be applied to remotely display screen weather parameters and in the end take a look at environmental extrade designs like temperature, humidity, Atmospheric Pressure. The paper additionally discusses the simple idea of Internet of Things and its capacity programs, specially for climate tracking.

Particle Number Emissions of Gasoline, Compressed Natural Gas (CNG) and Liquefied Petroleum Gas (LPG) Fueled Vehicles at Different Ambient Temperatures

Compressed natural gas (CNG) and liquefied petroleum gas (LPG) are included in the group of promoted transport fuel alternatives for traditional fossil fuels in Europe. Both CNG and LPG fueled vehicles are believed to have low particle number and mass emissions. Here, we studied the solid particle number (SPN) emissions >4 nm, >10 nm and >23 nm of bi-fuel vehicles applying CNG, LPG and gasoline fuels in laboratory at 23 °C and sub-zero (−7 °C) ambient temperature conditions. The SPN23 emissions in CNG or LPG operation modality at 23 °C were below the regulated SPN23 limit of diesel and gasoline direct injection vehicles 6×1011 1/km. Nevertheless, the limit was exceeded at sub-zero temperatures, when sub-23 nm particles were included, or when gasoline was used as a fuel. The key message of this study is that gas-fueled vehicles produced particles mainly <23 nm and the current methodology might not be appropriate. However, only in a few cases absolute SPN >10 nm emission levels exceeded 6×1011 1/km when >23 nm levels were below 6×1011 1/km. Setting a limit of 1×1011 1/km for >10 nm particles would also limit most of the >4 nm SPN levels below 6×1011 1/km.

Evaluating the CO2 emission reduction effect of China's battery electric vehicle promotion efforts

The rapid development of fuel vehicles (FVs) exacerbated greenhouse gas emissions. The Chinese government launched a series of policies to promote battery electric vehicles (BEVs) to slow down the greenhouse effect. Zero emissions of BEVs have been achieved in the driving phase but not in the charging phase. Whether BEVs can achieve emission reduction needs to be further verified compared with FVs.The paper considered evaluating the CO2 emission reduction effects after the promotion of BEVs by the Chinese government, which adopted the Well-to-Wheel (WTW) approach. Furthermore, the CO2 emission reduction impact factors of BEVs would be verified by sensitivity analysis with the number of BEVs and the Renewable Portfolio Standard (RPS).The results show that BEV emission reductions can reach 4.15 million tons by 2020, the CO2 emission reductions are mainly distributed in the areas with a high RPS ratio, such as East China, and the emission reduction of battery electric buses (BEBs) is better than private battery electric cars (PBECs) and battery electric taxis (BETs). The emission reduction of the three categories of BEVs is affected by the number of BEVs and the RPS.

Prediction of optimum Palm Oil Methyl Ester fuel blend for compression ignition engine using Response Surface Methodology

Electric mobility slowly catches up trend in automotive sales but still it has not got the wide expected reception as typical liquid fueled vehicle due to the electric vehicles range. But the high energy density of liquid fuel is still unmatched for the performance of an electric battery. Decreasing Air Quality Index (AQI) from use of conventional fuels are alarming due to its impact on human health. These facts thrust the need for deeper study into alternative fuel research area and Malaysia being one of the largest producers of Palm Oil Methyl Ester (POME), motivates us to proceed into investigative analysis of POME fueled engine using a mathematical technique called Response Surface Methodology (RSM). Highest BSFC attained was 508.9 g/kWhr and 546.5 g/kWhr for diesel and POME50 at 3850 rpm and 25% load. Lowest O2 emissions were recorded at 4.1% and 4.4% for diesel and POME10 respectively at 1600 rpm and 100% load. Optimized engine operation was predicted with 41.21% POME as the best blend giving the best compromise in best performance and low emissions.

The role of electricity mix and transportation sector in designing a green-growth strategy in Iran

This study used the Autoregressive Distributed Lag (ARDL), The Error Correction Model (ECM), and ECM-Granger Causality to investigate the short and long-run environmental impact of renewable power and the transportation sectors in Iran over 1971 to 2015. The robustness of the results was checked by estimating three cointegration regression models. The empirical finding of this study confirmed the long-run cointegration among the variables. Indeed, the positive and significant impact of real GDP per capita, the number of vehicles, and urbanization on the CO2 emissions per capita were supported. Furthermore, the potential for renewable electricity in improving the environmental quality was proved in the long-run. Residual diagnostic tests and sensitivity analysis supported the appropriateness of the model and the robustness of the results from the ARDL. The Granger Causality supported: (1) one-way causality flowing from the share of renewable electricity to the CO2 emissions per capita (2) the complementary linkage between the number of vehicles and CO2 emissions per capita; (3) the bidirectional causality between the share of renewable electricity and the real GDP per capita. Therefore, to achieve sustainable development goals, the government and policymakers need to: increase and promote the share of renewable electricity and shift away from Internal Combustible Engine Vehicles to Alternative Fuel Vehicle.

Enhancing Mechanical and Combustion Performance of Boron/Polymer Composites via Boron Particle Functionalization.

High-speed air-breathing propulsion systems, such as solid fuel ramjets (SFRJ), are important for space exploration and national security. The development of SFRJ requires high-performance solid fuels with excellent mechanical and combustion properties. One of the current solid fuel candidates is composed of high-energy particles (e.g., boron (B)) and polymeric binder (e.g., hydroxyl-terminated polybutadiene (HTPB)). However, the opposite polarities of the boron surface and HTPB lead to poor B particle dispersion and distribution within HTPB. Herein, we demonstrate that the surface functionalization of B particles with nonpolar oleoyl chloride greatly improves the dispersion and distribution of B particles within HTPB. The improved particle dispersion is quantitatively visualized through X-ray computed tomography imaging, and the particle/matrix interaction is evaluated by dynamic mechanical analysis. The surface-functionalized B particles can be uniformly dispersed up to 40 wt % in HTPB, the highest mass loading reported to date. The surface-functionalized B (40 wt %)/HTPB composite exhibits a 63.3% higher Young's modulus, 87.5% higher tensile strength, 16.2% higher toughness, and 16.8% higher heat of combustion than pristine B (40 wt %)/HTPB. The surface functionalization of B particles provides an effective strategy for improving the efficacy and safety of B/HTPB solid fuels for future high-speed air-breathing vehicles.

Demand Subsidy versus Production Regulation: Development of New Energy Vehicles in a Competitive Environment

In the competitive market environment, the growth of new energy vehicles (NEVs) faces many obstacles. Demand subsidy or production regulation-related policies are widely used to promote the development of NEVs. A comparative analysis of the effects of the two types of policies on the competitive vehicle market requires further study. To fill this gap, we investigate which type of policy is more preferable from the perspective of the social planner. In this paper, we construct a Stackelberg game with a welfare-maximizing social planner and two profit-maximizing manufacturers producing NEVs and fuel vehicles (FVs), respectively. Interestingly, although both types of policies can increase the quantity of NEVs, demand subsidy also promotes the growth of total vehicles at the same time; in contrast, production regulation reduces the total vehicles. Moreover, compared with the benchmark that no policy intervention, demand subsidy generally improves social welfare, while production regulation improves social welfare only with high consumer preference for NEVs. Nevertheless, production regulation always has a positive impact on the environment, whereas demand subsidy may have a positive impact only when the NEV is very environment friendly. The numerical results show that consumer environmental preferences and the regulation of environmental impact determine which type of policy dominates the other.

Heterogeneous Fleet Green Vehicle Routing Problem: A Literature Review

Transportation, as a part of the supply chain process, contributes to carbon emission which leads to climate change and global warming. This environmental issue gives an impact to decisions regarding the supply chain of a company. One way to deal with this issue is by analyzing their vehicle routing problem. In this study, the issue about routing problems in green supply chain by considering the heterogeneous fleet is being discussed. One variant of Green Vehicle Routing Problem (GVRP) reviewed in this paper is about Heterogeneous Alternative Fuel Vehicles for Green Vehicle Routing Problem (HAFVGVRP). The purpose of this study is to review the development of GVRP with heterogeneous alternative fuel vehicles and the gap or state-of-the-art on existing researches. The review was classified according to the objectives, type of fleet, and solution used. Moreover, this study also presents the trend and direction of further research.

The implications of facility design and enabling policies on the economics of dry anaerobic digestion.

Diverting organic waste from landfills provides significant emissions benefits in addition to preserving landfill capacity and creating value-added energy and compost products. Dry anaerobic digestion (AD) is particularly attractive for managing the organic fraction of municipal solid waste because of its high-solids composition and minimal water requirements. This study utilizes empirical data from operational facilities in California in order to explore the key drivers of dry AD facility profitability, impacts of market forces, and the efficacy of policy incentives. The study finds that dry AD facilities can achieve meaningful economies of scale with organic waste intake amounts larger than 75,000 tonnes per year. Materials handling costs, including the disposal of inorganic residuals from contaminated waste streams and post-digester mass (digestate) management, are both the largest and the most uncertain facility costs. Facilities that utilize the biogas for vehicle fueling and earn associated fuel credits collect revenues that are 4-6x greater than those of facilities generating and selling electricity and 10-12x greater than facilities selling natural gas at market prices. The results suggest important facility design elements and enabling policies to support an increased scale of organic waste handling infrastructure.

Forecasting Natural Gas Demand, Production and Analyzing the Future of CNG & LPG As an Alternatives of Vehicles Fuel in Bangladesh

Abstract
 Natural gas is one of the primary energy sources of Bangladesh. Demand of natural gas in Bangladesh increasing day by day in various sectors. But, due to limited resources, energy crisis increasing gradually. This research work deigned to find out the natural gas crisis via forecasting gas demand and production. At the end, it also analyzed the future of CNG and LPG based vehicles in Bangladesh as an alternative of natural gas dependency.
 The prediction of gas demand and production has been conducted based on the data from Petrobangla. And the future of CNG and LPG based vehicles were analyzed based on different CNG & LPG conversion company data. Demand forecasting presented three scenarios; “scenario A, scenario B and scenario C” and production forecasting has been displayed as three cases; “case A, case B, case C”. The Comparison of CNG and LPG has been made based on different parameters like conversion cost, calorific fuel value, fuel cost, mileage, risk of explosion of fuel cylinder, carbon emission etc. 
 The outcomes of gas demand forecasting represented that gas demand is growing in every scenario. The results of production forecasting denoted as existing gas fields production is decreasing gradually. It also indicated, if new reserves would be discovered, then the production will be maximized. On the other hand, CNG conversion rate will be declined due to the shortage of natural gas. In conclusion, the investigation of different parameter of CNG & LPG confirmed, LPG is suitable for cope up with the future crisis. Hence LPG based vehicles need to take place of CNG based vehicles.

Comparing Commercial Vehicle Fuel Consumption Models using Real-World Data under Calibration Constraints

Assessing commercial road vehicle fuel use at a high spatiotemporal resolution helps in understanding underlying usage patterns and informs future interventions toward fuel-efficient freight planning and operations. With the use of global navigation satellite systems in fleet tracking and advancements in driver activity surveys, instantaneous fuel consumption models can calculate fuel use in high resolution using inputs like speed and acceleration derived from GPS data. Given that several models exist, there is a need to compare fuel use estimates from different models, especially under the constraint of limited data for calibration. This study evaluates the accuracy of fuel use estimates from three fuel consumption models (COPERT 4, SIDRA TRIP, and MOVES) applied to 10 diesel commercial road vehicles in Singapore over a standardized drive cycle (NEDC) and real-world activity data derived from GPS traces using the method of space-time path segments and road grade obtained from a digital elevation model. Changes in model performance are examined when supplementary on-board diagnostics (OBD) data and payload information are used. The models gave varying fuel use estimates over the NEDC, especially for heavier vehicles in the sample. When applied to real-world data, SIDRA TRIP was found to be the most accurate for the context studied. SIDRA TRIP’s performance improved consistently when supplemented with OBD and payload information. This comparison approach allows analysts to select the most suitable model for a given context, and take steps toward more sustainable freight transportation.

Prioritizing key attributes influencing electric two-wheeler usage: A multi criteria decision making (MCDM) approach – A case study of Hyderabad, India

The rapid urbanization and subsequent growth of Motorized Two-wheelers (M2W) have significant negative implications on the environment through increased pollution levels in India. Replacing M2W with alternative fueled vehicles such as Electric Two-wheelers (E2W) might significantly minimize pollution. In this regard, this study has attempted to identify and prioritize the set of key E2W specific attributes based on the prospective users' perception. Initially, a comprehensive set of E2W specific attributes influencing users' perception towards E2W usage were identified from the literature. A user-perception-based questionnaire on a standard five-point Likert scale was designed to elicit prospective users' perceptions on the identified E2W attributes. Hyderabad, an Indian metropolitan city, was selected as the case study city to demonstrate the methodology. The users' perception data was then evaluated with the Meta Ranking function; it evaluates the aggregated rankings of the attributes based on the rank aggregation of the results obtained from multiple Multi Criteria Decision Making (MCDM) methods. The results obtained from the analysis have revealed that among the economy-related attributes, purchase cost and operating cost are perceived as the key attributes. Similarly, range and top speed are found to be the key influencing attributes among the vehicle-related attributes. Among the infrastructure-related attributes, the charging infrastructure and the parking infrastructure were important attributes. Finally, among the user-perceived benefits related attributes, health benefits, and reduction in tailpipe emission were perceived to be significantly influencing the users. Results also indicated a significant influence of socio-economic parameters on users' perception towards E2W attributes. Based on research findings, a set of policy interventions are proposed for devising key strategies for making E2W a more attractive mode.

Implication viability assessment of electric vehicles for different regions: An approach of life cycle assessment considering exergy analysis and battery degradation

The rapid urbanization witnessed in the last few decades has contributed to the increasing demand for vehicles worldwide. An overwhelming majority of these vehicles run on fossil fuels, leading to environmental degradation. Emissions from the transport sector are a major contributor to local as well as global air pollution and deterioration in air quality. Countries such as the United States of America, China, India, Indonesia, etc., having the largest number of registered vehicles, are also responsible for a higher proportion of vehicular emissions. As new technologies emerge, electric vehicles (EV) are being envisioned as a replacement to the conventional internal combustion engine (ICEV) vehicle fleet, thus directly reducing tailpipe emissions. However, their indirect emissions are dependent on the energy grid of that particular nation. This study aims to assess the viability of implementing electric vehicles in the nations with high vehicle population. The top ten countries with the highest number of vehicles were identified, along with their power grid characteristics. A detailed review of emission factors of various power generation sources was carried out considering exergy analysis. Furthermore, battery degradation models were used to estimate the lifetime emissions from the battery of electric vehicles. The viability index calculations include well to wheel (WTW) emissions for power generation sources, in case of EVs, and for conventional vehicle fuels. The study concludes that EV implementation has varying effect on nations’ air pollution, which depends upon their share of renewable sources in power generation. Implementation of EVs is found to be sustainably viable for France and Brazil, marginally viable for nations including China and India, while it is found to be not viable for Indonesia.

Modelling and simulation of multicomponent acetone-butanol-ethanol distillation process in a sieve tray column

Renewable energy sources are prospective solutions for addressing future energy needs arising from the ever-increasing population and dwindling petroleum reserves. Biobutanol is one of the most efficient biofuels for use as a mixture with motor vehicle fuels. Biobutanol is produced from the acetone-butanol-ethanol (ABE) fermentation process and is separated into the pure components via multicomponent distillation. Mathematical modelling of the continuous multicomponent distillation of ABE was carried herein out using an equilibrium-based model with the modified Hang-Wanke method in MATLAB R2020a programming language and compared with the simulation results using Aspen Plus V9. The variables of this study were the feed stage, number of trays, reflux ratio to butanol purity, butanol recovery, and energy load of the reboiler and condenser. Based on the simulation results, the operating conditions in columns 1 and 2 were recommended based on the butanol purity, recovery, and reboiler load; the recommended operating conditions for column 1 are as follows—feed stage: 4, reflux ratio: 4, number of trays: 20 trays, with a column efficiency of 55.43%. The recommended operating conditions for column 2 are as follows—feed stage: 2, reflux ratio: 0.4, number of trays: up to 10, with a column efficiency of 54.94%.