Hydrogen Gas Refuelling Infrastructure for Heavy-Duty Trucks: A Feasibility Analysis

2021 ◽  
pp. 1-48
Author(s):  
Wahiba Yaïci ◽  
Longo Michela

Abstract In view of serious environmental problems occurring around the world and in particular climate change caused significantly by dangerous CO2 emissions into the biosphere in the developmental process, it has become imperative to identify alternative and cleaner sources of energy. Compressed hydrogen is being considered as a potential fuel for heavy-duty applications because it will substantially reduce toxic greenhouse gas emissions and other pollutant emissions. The cost of hydrogen will be a main element in the acceptance of compressed hydrogen internal combustion engine (ICE) vehicles in the marketplace since of its effect on the levelized cost of driving. This paper investigates the feasibility of developing a nationwide network of hydrogen refuelling infrastructure with the aim to assist for a conversion of long-haul, heavy-duty (LHHD) truck fleet from diesel fuel to hydrogen. This initiative is taken in order to reduce vehicle emissions and support commitments to the climate plans reinforcing active transportation infrastructure together with new transit infrastructure and zero emission vehicles.Two methods based on constant and variable traffics, using data about hydrogen infrastructure and ICE vehicles, were created to estimate fuelling conditions for LHHD truck fleet. Furthermore, a thorough economic study was carried out on several test cases to evaluate how diverse variables affect the final selling price of hydrogen. This gave understanding of what elements go into pricing of hydrogen and if it can compete with diesel in the trucking market. Results revealed that the cost to purchase green hydrogen is the utmost part in the pump price of hydrogen. Due to the variety in hydrogen production, there is no defined cost, which renders estimates difficult. Moreover, it was found that the pump price of green hydrogen is on average 239% more expensive than diesel fuel. The methodology proposed and models created in this feasibility study may serve as a valuable tool for future techno-economics of hydrogen refuelling stations for other types of ICE fleets or fuel cell vehicles.

Author(s):  
Wahiba Yaïci ◽  
Michela Longo

Abstract In view of serious environmental problems occurring around the world and in particular climate change caused significantly by dangerous CO2 emissions into the biosphere in the developmental process, it has become imperative to identify alternative and cleaner sources of energy. It is now indisputable that there cannot be sustained development or meaningful growth without a commitment to preserve the environment. Compressed hydrogen is being considered as a potential fuel for heavy-duty applications because it will possibly substantially reduce toxic greenhouse gas emissions. The cost of hydrogen will be a main element in the acceptance of compressed hydrogen internal combustion vehicles in the marketplace since of its effect on the levelized cost of driving. The cost of hydrogen at the pump is determined by its production cost, which is mainly a function of the feedstock and process utilised, the distribution cost and the refuelling station cost. This paper investigates the feasibility of implementing a nationwide network of hydrogen refuelling infrastructure in order to accommodate a conversion of Canada’s long-haul, heavy-duty truck fleet from diesel fuel to hydrogen. This initiative is taken in order to reduce vehicle emissions and support Canada’s commitments to the climate plans supporting active transportation infrastructure, together with new transit infrastructure, and zero emission vehicles. Two methods, Constant Traffic and Variable Traffic, along with data about hydrogen infrastructure and vehicles, were developed to estimate fuelling requirements for Canada’s long-haul, heavy-duty truck fleet. Furthermore, a thorough economic study was conducted on various test cases to evaluate how diverse variables affects the final selling price of hydrogen. This provided insight with the understanding of what factors go into pricing hydrogen and if it can compete against diesel in the trucking market. Results revealed that the cost to purchase hydrogen is the greatest factor in the pump price of hydrogen. Due to the variability in hydrogen production, however, there is no precise cost, which makes predictions difficult. Moreover, it was found that the pump price of hydrogen is, on average, 239% more expensive than diesel fuel. Future work should concentrate on the costs and logistics of high-capacity hydrogen refuelling stations, which is required to deliver fuel to a fleet of long-haul, heavy-duty trucks. A breakdown of hydrogen production costs, with regard to the Canadian landscape and the requirements of a long-haul, heavy-duty truck fleet, may possibly give further accurate predictions of those made in this study.


Author(s):  
Wahiba Yaïci ◽  
Michela Longo

Abstract With environmental concerns and limited natural resources, there is a need for cleaner sources of energy in the transportation sector. Renewable natural gas (RNG) is being considered as a potential fuel for heavy-duty applications due to its comparable usage to diesel and gasoline in vehicles. The idea of compressed RNG vehicles is being proposed especially because it will potentially significantly reduce harmful emissions into the environment. This initiative is taken in order to decrease vehicle emissions and support Canada’s commitments to the climate plans reinforcing active transportation infrastructure, in concert with new transit infrastructure, and zero emission vehicles. This study examines the feasibility of implementing a nationwide network of compressed RNG refuelling infrastructure in order to accommodate a conversion of Canada’s long-haul, heavy-duty truck fleet from diesel fuel to RNG. Two methods, Constant Traffic and Variable Traffic, along with data about compressed RNG infrastructure and vehicles, were developed and used to predict fuelling requirements for Canada’s long-haul, heavy-duty truck fleet. Then, a detailed economic analysis was conducted on various test cases to estimate how different variables impact the final selling price of RNG. This provided insight with the understanding of what factors go into pricing RNG and if it can compete against diesel in the trucking market. Results disclosed that the cost to purchase RNG is the greatest factor in the final selling price of compressed RNG. Due to the variability in RNG production however, there is no precise cost, which makes predictions difficult. However, results revealed that it is possible for compressed RNG to be competitive with diesel, with the mean compressed RNG price being 16.5% cheaper than diesel, before being taxed. Future studies should focus on the feasibility of the production of RNG and the associated costs, with emphasis on the Canadian landscape. An in-depth analysis on operational and maintenance costs for compressed RNG refuelling stations may also provide predictions that are more accurate.


2020 ◽  
Vol 8 (1) ◽  
pp. 17-26
Author(s):  
Evi Noviasari ◽  
Richad Alamsyah

The purpose of this study were to know the role of calculation cost of goods manufactured and  determination of the selling price of shoes in the Heriyanto’s shoes MSME. To knowing the extent of differences in determination the cost of goods manufactured by using the company method and the full costing approach and compare the selling price according to the company's method with using the Cost Plus Pricing. The type of research used is qualitative research. The analytical method used in this study is qualitative descriptive analysis. The data used in this study are primary data. Data were obtained directly through observation and interviews with the Heriyanto’s shoes MSME and data in the form of information on production costs such as raw material costs, labor costs, and factory overhead costs MSME during December 2018. While for secondary data. Data were obtained from intermediary media such as books or literature, journals related to the title of the research, and can also be via the internet. The results of the study it can be concluded that the cost of goods manufactured calculation according Heriyanto’s MSME is lower than the cost of  goods manufactured calculation using the full costing method. The cost of goods manufactured according heriyanto’s MSME is Rp. 15.675/pair or Rp. 313.492/score (Hamer Material) and Rp. 14.600/pair or Rp. 291.992/score (Kavaro Material). While the cost of goods manufactured used the full costing method, which is Rp. 16.310/pair or Rp. 326.201/score (Hamer Material) and Rp. 15.235/pair or Rp. 304.701/score (Kavaro Material). This is caused  factory overhead costs that are not calculate by Heriyanto’s MSME such as electricity costs, gas costs, maintenance costs for machinery and factory vehicles, and depreciation costs.             Determination of selling price must be appropriately because the determination of selling prices that are too high will result in difficulty competition with similar products while the determination of selling prices too low will result in reduced income generated by Heriyanto’s MSME. The difference in determination the cost of good manufactured will affect the Heriyanto’s MSME in determining the selling price, because the cost of goods manufactured is the main element in determination selling price. Calculation of selling prices according Heriyanto’s MSME is Rp. 18.026/pair or Rp. 360.516/score (Hamer Material) and Rp. 16.790/pair or Rp. 335.791/score (Kavaro material). While the selling price used the Cost Plus Pricing method which is Rp. 18.814/pair or Rp. 376.281/score (Hamer Material) and Rp. 17.578/pair or Rp. 351.556/score (Kavaro material). Keywords : Cost of Goods manufactured, Selling Price, Full Costing, Cost Plus Pricing


2021 ◽  
pp. 1-43
Author(s):  
Wahiba Yaïci ◽  
Longo Michela

Abstract With environmental concerns and limited natural resources, there is a need for cleaner resources of energy in the transportation sector. Renewable natural gas (RNG) is being considered as a potential fuel for heavy-duty applications due to its comparable usage to diesel and gasoline in vehicles. The idea of compressed RNG vehicles is being proposed especially because it will significantly reduce harmful emissions into the environment. This study examines the feasibility of implementing a nationwide network of compressed RNG refueling infrastructure in order to accommodate a conversion of long-haul, heavy-duty (LHHD) truck fleet from diesel fuel to RNG. Two methods, Constant Traffic and Variable Traffic, along with data about compressed RNG infrastructure and vehicles, were developed and used to predict fuelling requirements for LHHD truck fleet. Then, a detailed economic analysis was conducted on various test cases to estimate how different variables impact the final selling price of RNG. This provided insight with the understanding of what factors go into pricing RNG and if it can compete against diesel in the trucking market. Results disclosed that the cost to purchase RNG is the greatest factor in the final selling price of compressed RNG. Due to the variability in RNG production however, there is no precise cost, which makes predictions challenging. However, results revealed that it is possible for compressed RNG to be competitive with diesel, with the mean compressed RNG price being 16.5% cheaper than diesel, before being taxed. Future studies should focus on the feasibility of the production of RNG and the associated costs. An in-depth analysis on operational and maintenance costs for compressed RNG refuelling stations may also provide predictions that are more accurate. The methodology developed in this feasibility analysis may serve as a useful tool for future techno-economics of RNG refuelling stations for other types of ICE fleets or those powered with alternative green fuels.


Author(s):  
Hongsheng Guo ◽  
W. Stuart Neill ◽  
Brian Liko

Remote communities in Canada heavily rely on reciprocating diesel generators for heat and power generation. These engines utilize diesel fuel that is imported at great expense and generate green-house gas (GHG) and pollutant emissions. Replacing diesel fuel in these engines by syngas derived from a thermo-chemical treatment of local renewable biomass can not only lower the fuel cost but also reduce GHG and pollutant emissions for remote communities. Besides, syngas-diesel dual fuel combustion can maintain the ability to revert back to diesel operation and therefore ensure reliable heat and power supply when syngas is not available. In this study, the combustion and emissions performance of a syngas-diesel dual fuel engine was investigated at low and medium loads. A single cylinder direct injection diesel engine was modified to operate using a dual fuel strategy. The diesel fuel was directly injected to the cylinder, while syngas was injected into the intake port. The effects of syngas fraction and composition on energy efficiency, cylinder pressure, exhaust temperature, and combustion stability were recorded and analyzed. The emissions data, including PM, NOx, CO, and unburned hydrocarbon, were also analyzed and reported in the paper. The results suggest that the substitution of diesel by a syngas caused a slight decrease in brake thermal efficiency and an increase in CO emissions. The effect of a syngas on soot emissions depended on the composition and/or quality. The inert component content of a syngas significantly affected NOx emissions in a syngas-diesel dual fuel internal combustion engine.


Games ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 63
Author(s):  
Ramzi Suleiman ◽  
Yuval Samid

Experiments using the public goods game have repeatedly shown that in cooperative social environments, punishment makes cooperation flourish, and withholding punishment makes cooperation collapse. In less cooperative social environments, where antisocial punishment has been detected, punishment was detrimental to cooperation. The success of punishment in enhancing cooperation was explained as deterrence of free riders by cooperative strong reciprocators, who were willing to pay the cost of punishing them, whereas in environments in which punishment diminished cooperation, antisocial punishment was explained as revenge by low cooperators against high cooperators suspected of punishing them in previous rounds. The present paper reconsiders the generality of both explanations. Using data from a public goods experiment with punishment, conducted by the authors on Israeli subjects (Study 1), and from a study published in Science using sixteen participant pools from cities around the world (Study 2), we found that: 1. The effect of punishment on the emergence of cooperation was mainly due to contributors increasing their cooperation, rather than from free riders being deterred. 2. Participants adhered to different contribution and punishment strategies. Some cooperated and did not punish (‘cooperators’); others cooperated and punished free riders (‘strong reciprocators’); a third subgroup punished upward and downward relative to their own contribution (‘norm-keepers’); and a small sub-group punished only cooperators (‘antisocial punishers’). 3. Clear societal differences emerged in the mix of the four participant types, with high-contributing pools characterized by higher ratios of ‘strong reciprocators’, and ‘cooperators’, and low-contributing pools characterized by a higher ratio of ‘norm keepers’. 4. The fraction of ‘strong reciprocators’ out of the total punishers emerged as a strong predictor of the groups’ level of cooperation and success in providing the public goods.


2021 ◽  
Vol 13 (14) ◽  
pp. 8066
Author(s):  
Thowayeb H. Hassan ◽  
Abu Elnasr E. Sobaih ◽  
Amany E. Salem

The cost of fuel and its availability are among the most major concerns for aircrafts and the aviation industry overall. Environmental difficulties with chemical pollutant emissions emitted by aviation machines are also connected to fuel consumption. As a result, it is crucial to examine factors that affect the overall fuel usage and consumption in the airport-based aviation industry. Several variables were investigated related to the total fuel consumed, such as dry operating weight (DOW) (KG), zero-fuel weight (ZFW), take-off weight (TOW), air distance (AIR DIST) (KM), and ground distance (GDN DIST). Analysis of the correlation between total fuel consumed as well as the extra fuel and selected variables was conducted. The results showed that the most positively associated factors with the total used fuel were the air distance (r2 = 0.86, p < 0.01), ground distance (r2 = 0.78, p < 0.01), TOW (r2 = 0.68, p < 0.01), and flight time (r2 = 0.68, p < 0.01). There was also a strong positive association between the average fuel flow (FF) and actual TOW (r2 = 0.74, p < 0.01) as well as ZFW (r2 = 0.61, p < 0.01). The generalized linear model (GLM) was utilized to assess the predictions of total energy usage after evaluating important outliers, stability of the homogeneity of variance, and the normalization of the parameter estimation. The results of multiple linear regression revealed that the most significant predictors of the total consumed fuel were the actual ZFW (p < 0.01), actual TOW (p < 0.01), and actual average FF (p < 0.05). The results interestingly confirmed that wind speed has some consequences and effects on arrival fuel usage. The result reflects that thermal and hydrodynamic economies impact on the flying fuel economy. The research has various implications for both scholars and practitioners of aviation industry.


Author(s):  
Frederico Finan ◽  
Maurizio Mazzocco

Abstract Politicians allocate public resources in ways that maximize political gains, and potentially at the cost of lower welfare. In this paper, we quantify these welfare costs in the context of Brazil’s federal legislature, which grants its members a budget to fund public projects within their states. Using data from the state of Roraima, we estimate a model of politicians’ allocation decisions and find that 26.8% of the public funds allocated by legislators are distorted relative to a social planner’s allocation. We then use the model to simulate three potential policy reforms to the electoral system: the adoption of approval voting, imposing a one-term limit, and redistricting. We find that a one-term limit and redistricting are both effective at reducing distortions. The one-term limit policy, however, increases corruption, which makes it a welfare-reducing policy.


Author(s):  
Shuonan Xu ◽  
David Anderson ◽  
Mark Hoffman ◽  
Robert Prucka ◽  
Zoran Filipi

Energy security concerns and an abundant supply of natural gas in the USA provide the impetus for engine designers to consider alternative gaseous fuels in the existing engines. The dual-fuel natural-gas diesel engine concept is attractive because of the minimal design changes, the ability to preserve a high compression ratio of the baseline diesel, and the lack of range anxiety. However, the increased complexity of a dual-fuel engine poses challenges, including the knock limit at a high load, the combustion instability at a low load, and the transient response of an engine with directly injected diesel fuel and port fuel injection of compressed natural gas upstream of the intake manifold. Predictive simulations of the complete engine system are an invaluable tool for investigations of these conditions and development of dual-fuel control strategies. This paper presents the development of a phenomenological combustion model of a heavy-duty dual-fuel engine, aided by insights from experimental data. Heat release analysis is carried out first, using the cylinder pressure data acquired with both diesel-only and dual-fuel (diesel and natural gas) combustion over a wide operating range. A diesel injection timing correlation based on the injector solenoid valve pulse widths is developed, enabling the diesel fuel start of injection to be detected without extra sensors on the fuel injection cam. The experimental heat release trends are obtained with a hybrid triple-Wiebe function for both diesel-only operation and dual-fuel operation. The ignition delay period of dual-fuel operation is examined and estimated with a predictive correlation using the concept of a pseudo-diesel equivalence ratio. A four-stage combustion mechanism is discussed, and it is shown that a triple-Wiebe function has the ability to represent all stages of dual-fuel combustion. This creates a critical building block for modeling a heavy-duty dual-fuel turbocharged engine system.


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