Citation: Dominique Meekers , Raseliarison Ratovonanahary , Tokinirina Andrianantoandro , Hiangotiana Randrianarisoa. Using Survey Data to Identify Opportunities to Reach Women with An Unmet Need for Family Planning: The Example of Madagascar[J]. AIMS Public Health, 2016, 3(3): 629-643. doi: 10.3934/publichealth.2016.3.629
[1] | César A. C. Sequeira, David S. P. Cardoso, Marta Martins, Luís Amaral . Novel materials for fuel cells operating on liquid fuels. AIMS Energy, 2017, 5(3): 458-481. doi: 10.3934/energy.2017.3.458 |
[2] | Lawrence Moura, Mario González, Jéssica Silva, Lara Silva, Izaac Braga, Paula Ferreira, Priscila Sampaio . Evaluation of technological development of hydrogen fuel cells based on patent analysis. AIMS Energy, 2024, 12(1): 190-213. doi: 10.3934/energy.2024009 |
[3] | Sudesh Bekal, Shripad T Revankar . Self-draining bipolar plate: Experimentation with various catalyst-loading in a low temperature proton exchange membrane fuel cell. AIMS Energy, 2025, 13(2): 231-247. doi: 10.3934/energy.2025008 |
[4] | Hanlin Wang, Erkan Oterkus, Selahattin Celik, Serkan Toros . Thermomechanical analysis of porous solid oxide fuel cell by using peridynamics. AIMS Energy, 2017, 5(4): 585-600. doi: 10.3934/energy.2017.4.585 |
[5] | Taihana Paula, Maria de Fatima Marques . Recent advances in polymer structures for organic solar cells: A review. AIMS Energy, 2022, 10(1): 149-176. doi: 10.3934/energy.2022009 |
[6] | W. Prasadini, Kumudu S. Perera, Kamal P. Vidanapathirana . Performance of Zn/Graphite rechargeable cells with 1-ethyl-3-methylimidazolium trifluoromethanesulfonate based gel polymer electrolyte. AIMS Energy, 2018, 6(4): 566-575. doi: 10.3934/energy.2018.4.566 |
[7] | Christian Hellert, Christian Klemt, Uta Scheidt, Irén Juhász Junger, Eva Schwenzfeier-Hellkamp, Andrea Ehrmann . Rehydrating dye sensitized solar cells. AIMS Energy, 2017, 5(3): 397-403. doi: 10.3934/energy.2017.3.397 |
[8] | Nirwan Syarif, Dedi Rohendi, Ade Dwi Nanda, M. Try Sandi, Delima Sukma Wati Br Sihombing . Gas diffusion layer from Binchotan carbon and its electrochemical properties for supporting electrocatalyst in fuel cell. AIMS Energy, 2022, 10(2): 292-305. doi: 10.3934/energy.2022016 |
[9] | Eurico Moutinho, Daniele Macciò, Adriana Saccone, Margarida Mateus, Diogo Santos . Domestic wastewater treatment using Pt,Ni-RE (rare earth) electrodes. AIMS Energy, 2016, 4(6): 894-905. doi: 10.3934/energy.2016.6.894 |
[10] | O. Corigliano, G. De Lorenzo, P. Fragiacomo . Techno-energy-economic sensitivity analysis of hybrid system Solid Oxide Fuel Cell/Gas Turbine. AIMS Energy, 2021, 9(5): 934-990. doi: 10.3934/energy.2021044 |
The Fuel cell technology plays a major role in offering a pollution free alternative energy supply in contrast to burning fossil fuels [1,2,3,4,5,6]. Fuel cells are an applicable technology for mobile and stationary applications. A common example of mobile systems is the automotive sector, where polymer electrolyte membrane fuel cells (PEMFC) are considered the most favorable fuel cell type due to their high output power density and flexible operating conditions [7,8]. They are also suitable to provide combined heat and electric power in stationary energy systems to maximize efficiency [9,10].
Especially under critical operating conditions where accumulated product water causes flooding an optimization of the water transport in the PEMFC leads to an improved efficiency. Such conditions include temperatures below 60 ℃ as well as high current densities that both lead to increased water agglomerations [11,12,13].
There are many different materials used in PEMFCs, which affect the water transport in the cells. Through the material properties the interaction with liquid water during operation influences the cell performance. Optimization of the water transport in the fuel cell layers leads to enhance the efficiency especially under critical operation conditions that promote flooding. Such as temperatures below 60 ℃ as well as high currents. A more detailed understanding of the influence of material types was obtained by analyzing several materials [14,15,16,17]. So far, X-Ray based imaging methods have been applied to study the liquid water evolution and distribution also during cell operation [18,19,20,21,22,23,24,25,26].
Neutron imaging can be used as complementary method for fuel cell research because neutrons are strongly affected by hydrogen, imaging methods based on neutrons are very helpful to study hydrogen distributions within the cell materials [23,24,25,26,27]. For the same reason, neutron imaging is used to study the water distribution in operating fuel cells [14,28,29,30,31,32,33].
In this study, High-resolution neutron tomography has been used for the investigation of the water distribution in PEMFCs. The detector system was set to a pixel size of ~6.5 µm, which is enough to resolve even smaller water droplets in the GDL of the cells in sufficient detail. Even the catalyst can be observed, which is hardly possible with X-Rays due to the high absorbing platinum [11].
The neutron imaging beam line CONRAD Ⅱ (COld Neutron Radiography) is used in order to investigate material structure as well as dynamic processes of the water transport in the cell [27,28,29,30]. It allows to create radiographs using cold neutrons, which are product of the 10 MW research reactor BER Ⅱ and moderated in a cold neutron source containing liquid hydrogen. Subsequently they are transported through a neutron guide to the experiment. The neutron beam at CONRAD is polychromatic mainly with wavelengths between 2 and 6 Å and a maximum intensity at about 3.0 Å. The tomography measurements of the fuel cells discussed here are performed 5 m from the end of the neutron guide as shown in Figure 1 [31].
Behind the sample as close as possible a detector system consisting of a scintillator, mirror, lens and CCD camera is placed [31,32,33]. When neutrons, which are transmitted and scattered by the sample, hit the scintillator, photons in the visible spectrum are emitted. The scintillator used for the tomography measurements is a gadox screen (Gd2 O2S(Tb) with 20 µm thickness.
The photons are projected onto the camera by a mirror/lens combination. The used Andor DW436 camera contains a 16 bit chip with (2048 × 2048) pixels, each corresponding to a size of 6.5 µm. The CCD sensor is continuously cooled to –50 ℃ to ensure thermal noise being as low as possible. With the used optics an imaging field of view of (13 × 13) mm2 is chosen. Each projection is acquired with an exposure time of 15 s then the projections collected for each tomographic scan.
In both cells the regulation of the cell temperature is carried out by using a cooling circuit with deuterium oxide (D2O). Compared to hydrogen, the attenuation coefficient of deuterium is much smaller [34,35,36]. As a result, D2O hardly attenuates the neutron beam and can only be seen faintly in radiographs and tomography. The flow field of the cooling circuit is embedded in the backside of the bipolar plates and is connected with a secondary water coolant circuit via a heat exchanger to maintain a stable temperature distribution.
The two tomography cells have an active area of 5.4 cm2. One contains Sigracet® SGL 25BC GDLs and the other Freudenberg H14C10 GDLs.
Each cell is equipped with three flow field channels on anode and cathode side, respectively. 0.5 mm wide meander-shaped channels are milled into the graphite composite material, through which the supply gases, hydrogen on the anode and air on the cathode side, flow from top to bottom. More details of the fuel cell design can be found in previous works [37]. The presented measurements are conducted at a current density of 1 A.cm-2 and a cell temperature of 65 ℃, while the cell is supplied with gases of 120% relative humidity. Via gas flow controllers λ, the ratio of the supplied and consumed gases, is set to 5 for anode (H2) as well as cathode (air) side.
Figure 2A–C shows tomographic slices of the fuel cell equipped with Sigracet® SGL-25BC material and Figure 2D–F the cell with Freudenberg-H14C10 material. These are parallel to the active layer and positioned in the anode flow field (A and D), in the membrane electrode assembly MEA (B and E) and in the cathode flow field (C and F). It can be seen in the images of the cell with Sigracet® SGL-25BC material that the water accumulates in the corner of the anode channel turnings (see Figure 2A), while it blocks one channel on cathode side with a big droplet due to the high condensation because of the material type. In the MEA, basically in the two gas diffusion layers, water is appearing as small droplets, which are marked in figure 2B with white arrows. The water in the cell with the Freudenberg H14C10 material is distributed all over the cell channels in smaller droplets which aid in a homogeneous distribution of the water inside the cell and enhance the membrane humidity level (Figure 2D) while it is focused on the corners and edges of the cathode channels which will block the channel and reduce the level of the gases supply for a sufficient reaction finally that will aid in a reduction in the cell performance (Figure 2F). The water in Freudenbergs H14C10 appears more in big droplets compared to the Sigracet® SGL-25BC material as in the Figure 2E White arrows. Please note that by using tomography, there is the ability to observe the water in the gas diffusion layers separately from the channels, which is not possible by using radiography.
The graphs in Figure 3 show the water volume in both cells. It can be noted that the water volume contained in the Sigracet® SGL 25BC material is less compared to the cell with Freudenberg H1410 material, especially in the region of the MEA. The water in the Freudenberg H1410 material distributed all over the cell in the anode and cathode sides comparing to the water distribution in Sigracet® SGL 25BC material also more water can be found in the MEA region of Freudenberg H1410 material which can play a major role in humidify the membrane and enhance the cell performance comparing to cell containing the Sigracet® SGL 25BC material. Note that the water blocked a complete channel in the cathode side of the cell containing Sigracet® SGL 25BC also concentrated in the corner of the channels.
Despite the same operating parameters more water was found in the MEA of the cell containing the Freudenberg H14C10 material than in the MEA of the cell with Sigracet® SGL 25BC material (see Figure 3). This water is also more homogenously distributed. No larger water agglomerations were found that may yield as bottle necks either affecting the gas stream (e.g., flooding). As there were no bigger areas found without any water, which might affect the membrane humidification (dehydration). In contrast, in the MEA of the cell with Sigracet® SGL 25BC less water is found. It can be assumed that this may reduce humidification of the membrane in the top area and cause a dehydration effect. On the other hand, the larger overall water amount in the MEA of the cell containing Freudenberg H1410 material can also improve membrane humidity and thus ion conductivity at most locations in the cell.
Liquid water inside two cells with a specially adapted PEMFC design with a three-channel flow field system containing two different GDLs were studied. High resolution neutron tomography has the ability to detect the water in the MEA even inside the catalyst of the PEMFCs. The technique is a powerful tool to detect liquid water inside the components of PEMFCs. The following points can be concluded in this study:
(1) The spatially resolved water distribution in the flow fields, GDLs and MEA can be detected and studied using high-resolution neutron tomography.
(2) In the presented example we found an overall higher amount of liquid water in the cell containing Freudenbergs H14C10 GDL compared to SGLs 25BC GDL material.
This study provides insights in to the distribution of liquid water in complete operated fuel cells and is not hindered at the catalyst layer, which is still an obstacle when using X-Ray CT. High resolution neutron tomography may contribute to future simulation studies about the water distribution and transport processes in MEAs [38].
All authors declare no conflicts of interest in this paper.
[1] | Direction de la Démographie et des Statistiques Sociales. Institut National de la Statistique (INSTAT) [Madagascar], Macro International Inc. (1998) Enquête démographique et de santé, Madagascar 1997. Calverton, Maryland, U.S.A.: INSTAT; Macro International Inc. |
[2] | Institut National de la Statistique (INSTAT), ICF Macro (2010) Enquête démographique et de santé de Madagascar 2008–2009. Antananarivo, Madagascar: INSTAT; ICF Macro. |
[3] | Institut National de la Statistique (Madagascar). Direction de la démographie et de statistiques sociales, ORC Macro (2005) Enquête démographique et de santé Madagascar, 2003–2004. Antananarivo, Madagascar; Calverton, MD: Direction de la démographie et des statistiques sociales; ORC Macro. |
[4] | Refeno G, Victor R, Mboup G, et al. (1994) Enquête nationale démographique et sanitaire 1992. Antananarivo, Madagascar et Calverton, Maryland, U.S.A.: Centre National de Recherches sur l'Environnement; Demographic and Health Surveys, Macro International Inc. |
[5] | Institut National de la Statistique de Madagascar (INSTAT) (2014) l’Enquête nationale sur le suivi des indicateurs des Objectifs du Millénaire pour le Développement (ENSOMD): Améliorer la santé maternelle. Antananarivo, Madagascar: Institut National de la Statistique (INSTAT). |
[6] | Westoff C (2012) Unmet need for modern contraceptive methods. Calverton, MD: ICF International. |
[7] | Institut National de la Statistique de Madagascar (INSTAT) (2012) L'Enquete nationale sur le suivi des Objectifs du Millénaire pour le Développement (ENSOMD) de 2012–2014 de Madagascar. Draft de protocole d'accord. Antananarivo, Madagascar. |
[8] | Bradley S, Croft T, Fishel J, et al. (2012) Revising unmet need for family planning. Calverton, MD: ICF International. |
[9] | MEASURE DHS (2012) Description of the Demographic and Health Survey individual recode data file. MEASURE DHS (DHS V). Version 1.0. Calverton, MD: MEASURE DHS. |
[10] | StataCorp (2013) Stata survey data reference manual. Release 13. College Station, TX: Stata Press. |
[11] | Eltinge J, Scribney W (1996) svy2: Estimation of means, totals, ratios, and proportions for survey data. STATA Technical Bulletin STB-31: 6-23. |
[12] | Heeringa S, West B, Berglund P (2010) Applied survey data analysis. Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group. |
[13] | Samuels S (2011) DHS data in STATA: number of observations and population size. Available from: http://www.stata.com/statalist/archive/2011-05/msg00907.html. |
1. | Saad S. Alrwashdeh, Handri Ammari, Life cycle cost analysis of two different refrigeration systems powered by solar energy, 2019, 16, 2214157X, 100559, 10.1016/j.csite.2019.100559 | |
2. | Qadourah Abu, Ala'a Al-Falahat, Saad Alrwashdeh, Investigate the carbon footprints of three intermediate flooring systems: Cross-laminated timber, solid concrete, and hollow-core precast concrete, 2022, 20, 1451-4117, 377, 10.5937/jaes0-32783 | |
3. | Ralf F. Ziesche, Jennifer Hack, Lara Rasha, Maximilian Maier, Chun Tan, Thomas M. M. Heenan, Henning Markötter, Nikolay Kardjilov, Ingo Manke, Winfried Kockelmann, Dan J. L. Brett, Paul R. Shearing, High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells, 2022, 13, 2041-1723, 10.1038/s41467-022-29313-5 | |
4. | Saad S. Alrwashdeh, Energy sources assessment in Jordan, 2022, 13, 25901230, 100329, 10.1016/j.rineng.2021.100329 | |
5. | Ala’a M. Al-Falahat, Implementation of the dynamic balancing approach of a rotating composite hollow shaft, 2022, 2461-4262, 68, 10.21303/2461-4262.2022.002336 | |
6. | Ala'a Al-Falahat, Qadourah Abu, Saad Alrwashdeh, Economic feasibility of heating source conversion of the swimming pools, 2022, 20, 1451-4117, 230, 10.5937/jaes0-34474 | |
7. | Yuto Tsuzuki, Yutaro Akimoto, Keiichi Okajima, Preventive control method for stable operation of proton exchange membrane fuel-cell stacks, 2023, 11, 2333-8334, 64, 10.3934/energy.2023004 | |
8. | Haroon Yousuf, Mazen J. Al-Kheetan, Mujib M. Rahman, Seyed Hamidreza Ghaffar, Nuhu Braimah, Denis A. Chamberlain, Introducing a novel concept of wick drainage in masonry structures, 2022, 51, 23527102, 104332, 10.1016/j.jobe.2022.104332 | |
9. | Saad S. Alrwashdeh, Ala'a M. Al-Falahat, Henning Markötter, Ingo Manke, Visualization of water accumulation in micro porous layers in polymer electrolyte membrane fuel cells using synchrotron phase contrast tomography, 2022, 6, 26660164, 100260, 10.1016/j.cscee.2022.100260 | |
10. | Obieda R. Altarawneh, Alanood A. Alsarayreh, Ala'a M. Al-Falahat, Mazen J. Al-Kheetan, Saad S. Alrwashdeh, Energy and exergy analyses for a combined cycle power plant in Jordan, 2022, 31, 2214157X, 101852, 10.1016/j.csite.2022.101852 | |
11. | Saad S. Alrwashdeh, Investigation of the energy output from PV panels based on using different orientation systems in Amman-Jordan, 2021, 28, 2214157X, 101580, 10.1016/j.csite.2021.101580 | |
12. | Saad S. Alrwashdeh, Handri Ammari, Yazeed S. Jweihan, Jenan Abu Qadourah, Mazen J. Al-Kheetan, Ala’a M. Al-Falahat, Refurbishment of Existing Building toward a Surplus Energy Building in Jordan, 2022, 16, 1874-8368, 10.2174/18748368-v16-e2208150 | |
13. | Saad S. Alrwashdeh, Investigation of the effect of the injection pressure on the direct-ignition diesel engine performance, 2022, 10, 2333-8334, 340, 10.3934/energy.2022018 | |
14. | Saad S. Alrwashdeh, Jenan Abu Qadourah, Ala’a M. Al-Falahat, Investigation of the Effect of Roof Color on the Energy Use of a Selected House in Amman, Jordan, 2022, 8, 2297-3079, 10.3389/fmech.2022.897170 | |
15. | Saad S. Alrwashdeh, Energy profit evaluation of a photovoltaic system from a selected building in Jordan, 2023, 18, 25901230, 101177, 10.1016/j.rineng.2023.101177 | |
16. | Yechuan Chen, Genevieve Stelmacovich, Adrian Mularczyk, Dilworth Parkinson, Siddharth Komini Babu, Antoni Forner-Cuenca, Svitlana Pylypenko, Iryna V Zenyuk, A Viewpoint on X-ray Tomography Imaging in Electrocatalysis, 2023, 2155-5435, 10010, 10.1021/acscatal.3c01453 | |
17. | Nadeen A. Altarawneh, Talib K. Murtadha, Managing engineering challenges in the design and implementation of eco-friendly residential structures, 2023, 19, 25901230, 101363, 10.1016/j.rineng.2023.101363 | |
18. | Faisal B. Baz, Radwan M. Elzohary, Sameer Osman, S.A. Marzouk, Mahmoud Ahmed, A review of water management methods in proton exchange membrane fuel cells, 2024, 302, 01968904, 118150, 10.1016/j.enconman.2024.118150 | |
19. | Adam Zucconi, Jennifer Hack, Richard Stocker, Theo A. M. Suter, Alexander J. E. Rettie, Dan J. L. Brett, Challenges and opportunities for characterisation of high-temperature polymer electrolyte membrane fuel cells: a review, 2024, 2050-7488, 10.1039/D3TA06895A | |
20. | Sebastian J. Altus, Beverley J. Inkson, Jennifer Hack, Complementary X-ray and neutron imaging of water electrolysers for green hydrogen production, 2024, 2050-7488, 10.1039/D4TA02885F | |
21. | Saad S. Alrwashdeh, Mohammad R. Almajali, Falah Mustafa Alsaraireh, Ala’ M. Al-Falahat, Green performance enhancement of marine engines via turbocharger compression ratio optimization, 2024, 24, 25901230, 102989, 10.1016/j.rineng.2024.102989 | |
22. | Ala'a Al-Falahat, Saad S. Alrwashdeh, Comprehensive Engineering Analysis of PEMFC Gas Diffusion Layers: Simulation-Based Evaluation of Four Groundbreaking Structural Modifications, 2025, 25901230, 104298, 10.1016/j.rineng.2025.104298 |