scholarly journals Four years of operational data for five hydrogen refueling stations

2022 ◽  
Vol 334 ◽  
pp. 06008
Author(s):  
Roberta Caponi ◽  
Andrea Monforti Ferrario ◽  
Enrico Bocci ◽  
Kristina Fløche Juelsgaard
Keyword(s):  
Fuel Cell ◽  
Standard Deviation ◽  
Energy Use ◽  
Utilization Factor ◽  
Operational Strategies ◽  
Average Mass ◽  
Safety Issues ◽  
Hydrogen Supply ◽  
Most Frequent Value ◽  
Operational Data

Worldwide about 550 hydrogen refueling stations (HRS) were in operation in 2021, of which 38%. were in Europe. With their number expected to grow even further, the collection and investigation of real-world station operative data are fundamental to tracking their activity in terms of safety issues, performances, costs, maintenance, reliability, and energy use. This paper shows and analyses the parameters that characterize the refueling of 350 bar fuel cell buses in four HRS within the 3Emotion project. The HRS are characterized by different refueling capacities, hydrogen supply schemes, storage volumes and pressures, and operational strategies. From data logs provided by the operators, a dataset of three years of operation has been created. In particular total hydrogen quantity, the fill amount dispensed to each bus, the refueling duration, the average mass flow rate, the number of refueling events and the daily number of refills, the daily profile, the utilization factor, and the availability are investigated. The results show similar hydrogen amount per fill distribution, but quite different refueling times among the stations. The average daily mass per bus is around 12.95 kg, the most frequent value 15 kg, the standard deviation 7.46. About 50% of the total amount of hydrogen is dispensed overnight and the refueling events per bus are typically every 24 hours. Finally, the station utilization is below 30% for all sites.

scholarly journals APPLICATION OF A HOLISTIC APPROACH OF HYDROGEN INTERNAL COMBUSTION ENGINE (HICE) BUSSES

2021 ◽  
Vol 1 ◽  
pp. 477-486
Author(s):  
Vahid Douzloo Salehi
Keyword(s):  
Fuel Cell ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Holistic Approach ◽  
Internal Combustion ◽  
Transport Sector ◽  
Driving Mode ◽  
Cell Technology ◽  
Fuel Cell Technology ◽  
Hydrogen Supply

AbstractHydrogen is a promising fuel to fulfil climate goals and future legislation requirements due to its carbon-free property. Especially hydrogen fueled buses and heavy-duty vehicles (HDVs) strongly move into the foreground. In contrast to the hydrogen-based fuel cell technology, which is already in commercial use, vehicles with hydrogen internal combustion engines (H2-ICE) are also a currently pursued field of research, representing a potentially holistic carbon-free drive train. Real applications of H2-ICE vehicles are currently not known but can be expected, since their suitability is put to test in a few insolated projects at this time. This paper provides a literature survey to reflect the current state of H2-ICEs focused on city buses. An extended view to HDVs and fuel cell technology allows to recognize trends in hydrogen transport sector, to identify further research potential and to derive useful conclusion. In addition, within this paper we apply green MAGIC as a holistic approach and discuss Well-to-Tank green hydrogen supply in relation to a H2-ICE city bus. Building on that, we introduce the upcoming Hydrogen-bus project, where tests of H2-ICE buses in real driving mode are foreseen to investigate Tank-to-Wheel.

Exergy Analysis of a Hybrid Micro Gas Turbine Fuel Cell System Based on Existing Components

2012 ◽  
Author(s):  
D. P. Bakalis ◽  
A. G. Stamatis
Keyword(s):  
Fuel Cell ◽  
Hybrid System ◽  
Exergy Analysis ◽  
Cell System ◽  
System Component ◽  
Utilization Factor ◽  
Fuel Cell Stack ◽  
Micro Gas Turbine ◽  
Partial Load ◽  
Set Up

A hybrid system based on an existing recuperated microturbine and a pre-commercially available high temperature tubular solid oxide fuel cell is modeled in order to study its performance. Individual models are developed for the microturbine and fuel cell generator and merged into a single one in order to set up the hybrid system. The model utilizes performance maps for the compressor and turbine components for the part load operation. The full and partial load exergetic performance is studied and the amounts of exergy destruction and efficiency of each hybrid system component are presented, in order to evaluate the irreversibilities and thermodynamic inefficiencies. Moreover, the effects of various performance parameters such as fuel cell stack temperature and fuel utilization factor are investigated. Based on the available results, suggestions are given in order to reduce the overall system irreversibility. Finally, the environmental impact of the hybrid system operation is evaluated.

Fuel Economy and Emission Performance of Fuel Cell-Based Diesel HEVs

2008 ◽  
Vol 5 (1) ◽  
Author(s):  
Daniel Crunkleton ◽  
Robert Strattan
Keyword(s):  
Fuel Cell ◽  
Fuel Economy ◽  
Energy Use ◽  
Hybrid Powertrain ◽  
Emission Analysis ◽  
Vehicle Architecture ◽  
Equivalent Fuel ◽  
And Performance ◽  
Hybrid Electric Powertrain ◽  
Powertrain Configuration

The fuel economy and emission advantages of diesel-electric hybrid powertrain modifications and an auxiliary fuel cell subsystem over those of a conventional midsize crossover SUV are discussed. The vehicle architecture is representative of one selected for the multiyear ChallengeX intercollegiate student design contest. To analyze the fuel economy, a simple “top-level” approach is used to estimate the fuel economy characteristics and performance potential to illustrate the advantages of the hybrid-electric powertrain configuration and the auxiliary fuel cells. Chained energy efficiency assumptions for the powertrain components lead to gasoline equivalent fuel mileage estimates. In the emission analysis, the greenhouse gases, regulated emissions, and energy use in transportation model is used to track the environmental impact of the powertrain on a well-to-wheels basis.

Reliable Performance Evaluation of Single Cells Through an Effective Experimental Test Rig and Measure Chain

2002 ◽  
Author(s):  
Piero Lunghi ◽  
Gianni Bidini
Keyword(s):  
Performance Evaluation ◽  
Fuel Cells ◽  
Fuel Cell ◽  
Single Cells ◽  
Experimental Tests ◽  
Clean Energy ◽  
Test Reliability ◽  
Test Procedures ◽  
Utilization Factor ◽  
Input Parameters

Fuel cells are known to be efficient and environmental friendly electricity generation devices. Great expectations are put on their contribution for future ultra-clean energy production. Nevertheless, the requests from deregulated energy market prompt fast commercialization of systems that are not yet fully optimized. Low efficiencies of first generation commercial fuel cell plants could result in failure when satisfying end users’ requirements thus creating an obstacle for subsequent market penetration. In this context, the availability of reliable data on fuel cells, necessary for their correct integration in full energy systems for plant optimization and feasibility assessment constitutes a priority. On the other hand, while measuring fuel cells performance is a difficult task nevertheless within reach for most research departments; the challenge for the scientific community is to reliably assess performance dependence on all the most relevant input parameters. As a result, most of the experimental data find on literature on fuel cells performances refer to voltage measures at increasing currents for fixed gas compositions and flow rates. In this work an experimental facility has been set up, test rigs have been designed and constructed both for fuel cells and reforming section testing; the main aim was to allow great operational flexibility. Great attention has been paid on test procedures and on input parameterisation as well on reliable advanced control systems. Dependence on the most relevant input parameters, i.e. current density, operating temperature, fuel and oxidant utilization factor, fuel humidification and dilution has been deeply analysed. Performances have been analysed both in terms of output voltage and efficiency and in terms of time degradation and expected total lifetime. The contribution of the work done consist in defining adimensional parameters which, thanks to their direct relation with the theoretical equations which govern a fuel cell, can greatly improve performance evaluation capability of experimental tests. Moreover those parameters can represent a way to standardize test procedures and constitute a means for comparing and exchanging results in a easier and effective way. A second contribution consist in designing and developing a unique control system that can improve test reliability thanks to the feature that allows to change single parameters while keeping the others constant and greatly enhance the number of experimental points that can be obtained in a test.

Optimization of Mean and Standard Deviation of Multiple Responses Using Patient Rule Induction Method

2018 ◽  
Vol 14 (1) ◽  
pp. 60-74 ◽  
Author(s):  
Jin-Kyung Yang ◽  
Dong-Hee Lee
Keyword(s):  
Data Mining ◽  
Standard Deviation ◽  
Large Volume ◽  
Rule Induction ◽  
Induction Method ◽  
Multiple Responses ◽  
Case Examples ◽  
Product And Process ◽  
Patient Rule Induction Method ◽  
Operational Data

In product and process optimization, it is common to have multiple responses to be optimized. This is called multi-response optimization (MRO). When optimizing multiple responses, it is important to consider variability as well as mean of the multiple responses. The authors call this problem as extended MRO (EMRO) where both of mean and variability of the multiple responses are optimized. In this article, they propose a data mining approach to EMRO. In these days, analyzing a large volume of operational data is getting attention due to the development of data processing techniques. Traditional MRO methods takes a model-based approach. However, this approach has limitations when dealing with a large volume of operational data. The authors propose a particular data mining method by modifying patient rule induction method for EMRO. The proposed method obtains an optimal setting of the input variables directly from the operational data where mean and standard deviation of multiple responses are optimized. The authors explain a detailed procedure of the proposed method with case examples.

Off-Design Performance Analysis of a Hybrid System Based on an Existing Molten Fuel Cell Stack

2003 ◽  
Vol 125 (4) ◽  
pp. 986-993 ◽  
Author(s):  
P. Bedont ◽  
O. Grillo ◽  
A. F. Massardo
Keyword(s):  
Fuel Cell ◽  
Gas Turbine ◽  
Hybrid System ◽  
Load Condition ◽  
Molten Carbonate Fuel Cell ◽  
Molten Carbonate ◽  
Utilization Factor ◽  
Micro Gas Turbine ◽  
Fixed Design ◽  
Stack Model

This paper addresses the off-design analysis of a hybrid system (HS) based on the coupling of an existing Ansaldo Fuel Cells (formerly Ansaldo Ricerche) molten carbonate fuel cell (MCFC) stack (100 kW) and a micro gas turbine. The MCFC stack model at fixed design conditions has previously been presented by the authors. The present work refers to an off-design stack model, taking into account the influence of the reactor layout, current density, air and fuel utilization factor, CO2 recycle loop, cell operating temperature, etc. Finally, the design and off-design model of the whole hybrid system is presented. Efficiency at part load condition is presented and discussed, taking into account all the constraints for the stack and the micro gas turbine, with particular emphasis on CO2 recycle control.

Fuel Cell for Portable Use : Hydrogen Supply Using Borohydride and Prototyping of Small Cells

2002 ◽  
Vol 2002.1 (0) ◽  
pp. 273-274
Author(s):  
Shuji TANAKA ◽  
Asa HIGASHITANI ◽  
Kei SUGIE ◽  
Masayoshi ESASHI
Keyword(s):  
Fuel Cell ◽  
Small Cells ◽  
Hydrogen Supply
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