Relative Humidity Ratio Research Articles

Optimisation of cooling performance and water consumption of a solid desiccant-assisted indirect evaporative cooling system using response surface methodology

Solid desiccant-assisted dew-point indirect evaporative cooling (SD-DPIEC) systems have gained considerable attention as a potential eco-friendly alternative to vapour-compression cooling systems in building cooling applications. However, one major drawback of these systems is their substantial water consumption during evaporative cooling. To tackle this issue, this study aims to improve the cooling efficiency and water utilisation of an SD-DPIEC system using response surface methodology (RSM). This research focuses on optimising four key parameters: supply air temperature, humidity ratio, water consumption rate and coefficient of performance (COP). The independent variables encompass the ambient temperature, relative humidity, regeneration temperature, and recirculation air ratio. Employing a multi-objective optimisation approach via the desirability function, the optimised SD-DPIEC system is subsequently tested in two prevalent weather patterns in Australia. The results demonstrated that the regression models derived from RSM exhibited commendable predictive capability, with the determination coefficient R2 and Adequate Precision exceeding 0.97 and 40.46, respectively. The outcomes revealed that the system attained its optimal performance with a supply air temperature of 20.36 °C, humidity ratio of 12.56 g kg-1, a water consumption rate of 3.11 kg/hr, and COP of 2.03 under the ambient temperature of 33.79 °C, relative humidity of 68.48 %, regeneration temperature of 51.78 °C, and recirculation air ratio of 60 %. Based on the optimisation results, a case study was undertaken to evaluate the system's applicability in representative Australian climates. The results demonstrated that the system could uphold air conditions with the supply air temperature below 19 °C and humidity ratio below 11.51 g kg-1 under the studied Australian climates.

Water accelerates parabolic oxidation of Pu-Ga alloy: from mechanism to model

The moisture accelerated oxidation can endanger the safety storage of plutonium, but experiments haven’t provided a complete mechanism explanation, let alone a prediction model. Based on first principles calculations, this work reveals the acceleration mechanism of water on Pu-Ga alloy oxidation in moist air and interprets available experimental findings. Specifically, the OH adsorption after H2O dissociation can promote the O-vacancy formation in PuO2 by the polaron interaction mechanism, and then facilitate the vacancy diffusion of the actual corrosion medium O after O2 dissociation. Therefore, the diffusion kinetics of O in Pu-oxide is decisive, which is correlated to the relative humidity (RH) and temperature (T). Based on the micro mechanisms and the available experiments, we propose a method to modify the oxidation kinetic model by taking into account the coupling effects of RH and T, this model provides a new way to evaluate and predicts the acceleration ratio of RH and T on the oxidation kinetics of Pu-Ga alloy. This work comprehensively reveals the acceleration mechanism of moisture and then proposes the oxidation kinetic model, which is significant to the storage and protective of nuclear materials.

Changes in Intergranular Air Properties and Chemical Parameters of Short-term Stored Bulk Shelled Corn with Slightly High Moisture Content

Objective: This study is to determine the main parameters influencing the storage of shelled corn with slightly high moisture content (MC) so that its quality can be maintained. Methods: The intergranular air properties and chemical changes was determined in 4,169 tonnes of shelled corn bulk with an average MC of 15.3% and a height of 5m, which was stored for 90 days in a large warehouse in Shandong Province, China, from winter to early spring. The intergranular air property parameters were calculated with self-compiled software. Results: Fans were used to achieve temperature-equalizing aeration at a low rate (5.87m3/h/t) after warehousing, which decreased the bulk temperature from 6.8 to 4.7℃. Afterwards, with the increase in ambient temperature, the surface-layer grain temperature increased drastically, while that of the bottom layer increased slowly and those of the middle layers increased even more slowly. The minimum and mean cumulative dry-bulb, wet-bulb and dew-point temperatures (DPT) increased in the order of middle layer˂ bottom layer˂ surface layer. Free fatty acid content, kernel breakage percentage, water adsorption rate, gelatinization enthalpy, peak enthalpy, and fatty acid profiles (C16:0, C18:0, C18:3n3, C20:0 and C20:1) were significantly related to the cumulative intergranular air properties of grain bulk. Conclusion: The above physio-chemical parameters were significantly influenced by the minimum and mean cumulative values of relative humidity, Humidity ratio and DPT in the bulk, and can be used to evaluate the quality of shelled corn with slightly high MC during short-term storage.

Effect of superabsorbent polymers and expansive agent on the properties and microstructures of self-stressing high performance concrete

In order to overcome the self-desiccation and high autogenous of high performance concrete (HPC), the superabsorbent polymers (SAP) and expansive agent (EA) are considered to be compositely incorporated, which has great significance to the HPC structures. This paper presents an experimental study on the compounded effect of SAP and EA on the properties of HPC. The workability, internal relative humidity (IRH), compressive strength and free expansive ratio as well as self-stress of HPC were examined. The influencing mechanism of SAP and EA on HPC was discussed. The results showed that the compressive strength of HPC generally decreases with the increases of EA and SAP contents and additional water ratio. The water release of SAP particles mainly occurs at 7–10 d to maintain a high IRH. The higher EA content induces the larger free expansive ratio and self-stress, caused by the increased hydration products of Aft and Ca(OH)2 bulks. For a low SAP content of 0.1%, the shrinkage is alleviated, but it becomes even worse for a higher SAP content. The total amount of pores increases with the inclusions of EA and SAP, except for the harm pores. The hydration products caused by EA could fill and compensate the pores left behind by the SAP particles, showing synergetic improvement effect. The self-stress values of HPC in this study are at the range of 2.73–3.44 MPa, From the present study, the SAP content of 0.1% is more recommended for the HPC in real engineering practices.

Performance analyses and optimization studies of desiccant wheel assisted atmospheric water harvesting system under global ambient conditions

A heat pump driven atmospheric water harvesting system, which can be operated under direct cooling mode and desiccant wheels assisted cooling mode, was proposed in this paper. Investigations were carried out to find out the optimal operation mode and operation parameters under different ambient conditions and daily water harvesting requirements. Optimization studies were firstly carried out on each operation mode to find the recommended operation parameters, namely evaporation temperature and daily operation hours, for different ambient conditions, daily water harvesting rate and maximum operating hours. Then, the optimal operation modes, which has lower daily power consumption under their own recommended operation parameters, were suggested on the psychrometric chart. The results showed that, for different combinations of daily water harvesting rate and maximum operating hours, there exist a critical humidity ratio and a critical relative humidity ratio for each case. When ambient air relative humidity and humidity are both higher than the critical values, it is recommended to use the direct cooling mode. Otherwise, the desiccant wheels assisted cooling mode should be used. Lastly, performances of the system in different climate zones were analyzed. Under the optimal operation mode, the annual average water harvesting efficiency was from 1.08 to 1.22 kg/kWh in Urumqi, from 1.50 to 1.78 kg/kWh in Beijing, and from 2.22 to 3.72 kg/kWh in Haikou, respectively, when daily water harvesting rate is from 50 to 200 kg/day and maximum operating hours is from 6 to 10 h.

Fuzzy Modelling and Optimization to Decide Optimal Parameters of the PEMFC

The main target is the maximization of the output power of PEM “proton exchange membrane” fuel cell via fuzzy modelling and optimization. In the beginning, using the experimental data, a robust fuzzy model is designed for simulating the PEM fuel cell using the relative humidity (%) and stoichiometric ratio at the anode and cathode. Then, the artificial ecosystem optimiser (AEO) is applied to determine the best values of the controlling input parameters. During the optimization process, the four controlling input parameters of the PEMFC are used as the decision variables, whereas as the cost function is required to be at the maximum of the output power density of the PEMFC. For the fuzzy model of the power, the RMSE values are 1.5588 and 3.1906, respectively, for training and testing data. The coefficient of determination values are 0.9826 and 0.8743 for training and testing, respectively. This confirms a successful modelling phase. Finally, the integration between fuzzy and AEO boosted the power of the PEMFC from 57.95 W to 78.44 W (by around 35%). Under this optimal condition, the controlling input parameters values are 26.65%, 56.77%, 1.14, and 1.68, respectively, for anode relative humidity, cathode relative humidity, anode stoichiometric ratio and cathode stoichiometric ratio. The present study, however, intends to highlight the importance of fuzzy modelling and metaheuristic algorithms in the development of digital twins to accelerate the commercialization of fuel cells as well as its applicability in diverse global economic sectors where a higher power requirement is needed. It is also aimed at informing the fuel cell research community and policy makers on strategies that could be adopted in boosting fuel cell performance and therefore could be a good reference source in decision-making for fuel cell commercialization and its practical implementation.

How Moisture Shapes Low‐Level Radiative Cooling in Subsidence Regimes

AbstractRadiative cooling of the lowest atmospheric levels is of strong importance for modulating atmospheric circulations and organizing convection, but detailed observations and a robust theoretical understanding are lacking. Here we use unprecedented observational constraints from subsidence regimes in the tropical Atlantic to develop a theory for the shape and magnitude of low‐level longwave radiative cooling in clear‐sky, showing peaks larger than 5–10 K/day at the top of the boundary layer. A suite of novel scaling approximations is first developed from simplified spectral theory, in close agreement with the measurements. The radiative cooling peak height is set by the maximum lapse rate in water vapor path, and its magnitude is mainly controlled by the ratio of column relative humidity above and below the peak. We emphasize how elevated intrusions of moist air can reduce low‐level cooling, by sporadically shading the spectral range which effectively cools to space. The efficiency of this spectral shading depends both on water content and altitude of moist intrusions; its height dependence cannot be explained by the temperature difference between the emitting and absorbing layers, but by the decrease of water vapor extinction with altitude. This analytical work can help to narrow the search for low‐level cloud patterns sensitive to radiative‐convective feedbacks: the most organized patterns with largest cloud fractions occur in atmospheres below 10% relative humidity and feel the strongest low‐level cooling. This motivates further assessment of favorable conditions for radiative‐convective feedbacks and a robust quantification of corresponding shallow cloud dynamics in current and warmer climates.

Evaporation coefficient determination during the capillary rise

Thermo-physiological comfort refers to the heat and moisture transport properties of clothing and how the clothing helps maintain the body's heat balance during various activities. To maintain the thermoregulation of the body, the resulting sweating should be absorbed by wicking fabrics close to the skin and evaporated to the ambient air. In this study, a mathematical model was developed considering evaporation during the capillary rise, based on the geometric configuration of a jersey-knitted fabric and taking evaporation into account. This model was used to calculate the evaporation coefficient. Based on the activities of the worker, sweat diffusion is controlled by capillary diffusion and moisture evaporation. The effect of air velocities of 0 m/s, 1 m/s, and 2 m/s, representing non-walking, walking, and running activities of a worker, respectively, was studied during capillary diffusion. The experiments were conducted at different relative humidities. The results show that the evaporation coefficient depends on the worker’s activities and the relative humidity ratio.

Changes in Intergranular Air Properties and Processing Quality of Paddy Stored in a Large Cooled Warehouse

This study investigated the relationship between the intergranular air properties of grain bulk and the quality of Japonica paddy stored in a large warehouse cooled by air conditioning (A/C) during oversummering. The psychrometric properties of the intergranular air such as relative humidity, humidity ratio, and wet-bulb temperature, were calculated by a software module. The 2569 tonnes of paddy with 14.5% moisture content (wet basis) was stored in a warehouse in Qihe County, Shandong Province, China, from 16 December 2019 to 9 September 2020. The grain temperature increased more rapidly near the top surface than in other layers of the paddy bulk, reaching the set temperature of 23 °C under A/C cooling, which started from storage day 174 (June 8, 2020). Two 14 kW A/C units (5.5 W t−1 paddy) were sufficient to maintain the set temperature of 23 °C in the headspace. The total electricity consumption was 9.2 kWh t−1 in the two cooling periods (June 8–August 10 and August 28–September 9). When the top surface was cooled by A/C, moisture transferred upwards from the bottom to top surface of the grain bulk, which created favorable conditions for insect growth and the whole grain bulk was fumigated from August 11 to 27. The quality indicators measured in different bulk layers did not change significantly during summer. Regression analysis shows that the percentages of milled rice and head rice, and the taste values and taste panel scores were significantly influenced by the cumulative intergranular air parameters in the paddy bulk. The results suggest that the cumulative intergranular air properties of the grain bulk are useful indicators for assessing the status of paddy stored in a large cooled warehouse.

Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation

Reference Evapotranspiration (ETo) is the basis for the conservation of irrigation water for sustainable development in agriculture. The FAO-56 Penman-Monteith (FAO-56 PM) is the standard method of ETo determination that is complex due to the involvement of many parameters. Many machine learning approaches were proposed to simplify ETo determination with limited parameters. The existing machine learning-based solutions rely on a fixed number of limited parameters for the determination of ETo. The study proposed a solution to determine the raw ETo with only temperature and optional optimization of the raw ETo according to the availability of Relative Humidity (RH), Wind Speed (WS), and sunshine duration ratio (n/N). The study proposed an ensembled Artificial Neural Network (ANN) model (Model-1) to determine ETo according to available minimal environmental parameters. The environmental conditions from the year 2001–2021 of Pakistan are used to develop a dataset with the FAO-56 PM method. The unique attribute of the proposed solutions is the flexibility in the use of environmental parameters for ETo determination according to the FAO-56 PM method. The performance of the proposed ensembled model (Model-1) is compared against the individual ANN model with all parameters (Model-2) and with the individual ANN model with only temperature (Model-3). The predictions by the proposed solution from Model-1 are also compared against the FAO-56 PM method. It is observed that the proposed Model-1 is more accurate with 91.44% accuracy, as compared to Model-2 and Model-3. The predictions by the proposed Model-1 are more correlated with the ETo by FAO-56 PM with a Pearson correlation of 0.996 as compared to the ETo predictions by Model-2 and Model-3.

A novel empirical model for predicting the carbon dioxide emission of a gas turbine power plant

Carbon dioxide (CO2) is a major greenhouse gas released by gas turbine power plants that is hazardous to the environment. Hence, it is vital to investigate the operational conditions that influence its emissions. Various research papers have utilized a variety of techniques to estimate CO2 emissions from fuel combustion in various power plants without taking into account the environmental operational characteristics which in turn may have a significant effect on the obtained output values. Therefore, the purpose of this research is to assess the carbon dioxide emissions while considering both external and internal functioning characteristics. In this paper, a novel empirical model for predicting the feasible amount of carbon dioxide emitted from a gas turbine power plant was developed based on ambient temperature, ambient relative humidity, compressor pressure ratio, turbine inlet temperature and the exhaust gas mass flow rate. The predictive model developed shows that the mass flow rate of CO2 emitted has a linear relationship with the turbine inlet temperature to ambient air temperature ratio, ambient relative humidity, compressor pressure ratio, and exhaust gas mass flow rate with a determination coefficient (R2) of 0.998. Results obtained shows that rise in ambient air temperature and air fuel ratio led to increase in CO2 emission, while increase in ambient relative humidity and compressor pressure ratio resulted in reduction of CO2 emission. Furthermore, the average emission of CO2 obtained for the gas turbine power plant was 644.893kgCO2/MWh and 634, 066, 348.44kgCO2/yr, of which the latter is within the guaranteed values of 726, 000, 000 kgCO2/yr. Thus, the model can be utilized to perform an optimal study for CO2 reduction in gas turbine power plants.

Empirical Model for Estimating Measured Monthly Average Global Solar Radiation in Lawra using TMY Data

In this study, simple and multiple regression models were developed to estimate the monthly average daily global solar radiation in Lawra, Ghana using ground measurement of global horizontal irradiance (Nov 2020–May 2022) and typical meteorological year (TMY) data (Jan 2017–Dec 2019). Various predictor variables such as sunshine ratio, minimum relative humidity and maximum relative humidity ratio, minimum and maximum temperature ratio, etc. were correlated from the TMY data. Many model equations were developed with the variables ranging from one to eight. The best model from each category was chosen and compared using statistical indices to determine the overall best model. We used the JMP statistical software’s ‘All Possible Models’ functionality to select the best model from each category. The selected models where then compared using the adjusted R-squared, mean absolute percentage error, and the root mean square error statistical indices. The best model equation correlated with eight independent variables with adjusted R-squared of 0.99. The equation can be used to estimate monthly global solar radiation in Lawra and in locations with similar climatic conditions where ground measurement of radiation data is unavailable but have access to the National Solar Radiation Database’s (NSRDB) TMY data.

A new method of retrieving atmospheric refractivity structure

ABSTRACT It is proposed to obtain information on atmospheric refractivity structure by measuring the angle of arrival (AoA) of radio signals routinely broadcast by commercial aircraft. The angle of arrival would be measured at hill-top sites using a simple two-element interferometer. Knowledge of the aircraft’s location (information conveniently contained within the broadcasts) and the AoA will enable the bending angle of the signals to be calculated. As measurable bending will only occur at grazing incidence, sources of signals either very close to the radio horizon, or at a similar height to the interferometer, are essential. The routine navigational data broadcasts from civil aircraft represent the ideal source. In areas of high air traffic density such as the UK, ~-bending angle measurements may be possible each day. Numerical weather prediction models routinely assimilate bending angles retrieved from GNSS radio occultation data, so it is anticipated that assimilation methods could be developed that are able to make good use of this new source of bending angle data. Sensitivity tests were performed to estimate the resolution of humidity retrievals assuming a target AoA accuracy of 0.01°. Simulated annealing was used to demonstrate the ability to retrieve relative humidity and mixing ratio vertical profiles using AoA measurements. It is shown that for observed AoA measurements with an accuracy of 0.01° it should be possible to retrieve relative humidity and mixing ratio vertical profiles with an accuracy of ~ and ~ g/kg respectively. An AoA accuracy of 0.01° should be achievable using hardware costing ~€10k, however further hardware development is still required.

Effect of operating conditions and air filters maintenance on the performance and efficiency of gas turbine power plant

The purpose of this study was to evaluate the thermal performance of a gas turbine unit under real weather conditions by applying the first law of thermodynamics and studying the effect of the cleanliness of the air filters. The unit operated with a design power of 265 MW under standard conditions (15 °C, 1 bar pressure, and 60 % relative humidity). The current study also included analyzing the power unit using the MATLAB simulation program to know the effect of external factors (temperature, relative humidity, and compression ratio) for a whole year (2019) on the performance of the turbine unit. The results showed that the highest efficiency was obtained during the month of November (34 %) at a temperature of 19 °C and the lowest efficiency was achieved in August (23 %) at the highest recorded temperature of 46 °C. The results also showed that when filters were replaced in November, the efficiency and air mass flow rate increased by 21 % and 40 %, respectively.

Investigation of the Parameters Influencing Baseline Ozone in the Western United States: A Statistical Modeling Approach

Ground-level ozone (O3) is a key atmospheric gas that controls the oxidizing capacity of the atmosphere and has significant health and environmental implications. Due to ongoing reductions in the concentrations of O3 precursors, it is important to assess the variables influencing baseline O3 to inform pollution control strategies. This study uses a statistical model to characterize daily peak 8 h O3 concentrations at the Mount Bachelor Observatory (MBO), a rural mountaintop research station in central Oregon, from 2006–2020. The model was constrained by seven predictive variables: year, day-of-year, relative humidity (RH), aerosol scattering, carbon monoxide (CO), water vapor (WV) mixing ratio, and tropopause pressure. RH, aerosol scattering, CO, and WV mixing ratio were measured at MBO, and tropopause pressure was measured via satellite. For the full 15-year period, the model represents 61% of the variance in daily peak 8 h O3, and all predictive variables have a statistically significant (p < 0.05) impact on daily peak 8 h O3 concentrations. Our results show that daily peak 8 h O3 concentrations at MBO are well-predicted by the model, thereby providing insight into what affects baseline O3 levels at a rural site on the west coast of North America.

Thermal performance analysis of a mixed-flow indirect evaporative cooler

This study experimentally investigates the performance of an indirect evaporative cooler based on the Maisotsenko cycle. It consists of a heat and mass exchanger (HMX) with a novel mixed-flow configuration. The de-sized cellulose rich cotton fabric is used as water-absorbing material, and aluminum sheets are used to fabricate the heat mass exchanger unit. The cooling performance indices of the system, namely dew point effectiveness (DPE), wet bulb effectiveness (WBE), and the coefficient of performance (COP), are evaluated at different inlet air temperatures (24 to 35 °C), volumetric flow rates (600 to 1050 m 3 /h), relative humidity (35 to 65%) and the extraction ratio (0.1 to 0.6). The results of the experimental study show that at a relative humidity of 35%, and inlet air temperature of 35 °C, the magnitude of the wet bulb and dew point effectiveness are highest and higher dew point and wet bulb effectiveness are observed at lower mass flow rates. The best cooling capacity and COP were obtained at an extraction ratio of 0.3 and are found to be highest at DBT of 35 °C. The maximum magnitude of CC was 2 kW with a COP of 16. Additionally, the convective heat transfer coefficient is calculated theoretically and compared with the experimental value. Further, a comparison of the obtained results for the mixed flow configuration considered in this study with those for other configurations reported in the literature reveals that the indirect evaporative cooler with mixed-flow configuration yields comparably good effectiveness. • Performance of indirect mixed flow evaporative cooler evaluated experimentally. • Effect of temperature, flow rate, relative humidity and extraction ratio are studied. • The optimum extraction ratio is observed to be 0.30. • Better performance is at higher inlet air temperature with lower humidity. • The maximum COP of 16 was observed at 35 °C with 35% relative humidity.

Hierarchically nanostructured Ag/ZnO/nBC for VOC photocatalytic degradation: Dynamic adsorption and enhanced charge transfer

The adsorption-photodegradation strategy can achieve continuous enrichment and efficient oxidation of volatile organic compounds (VOCs), but it requires a trade-off among adsorption, mass transfer, and charge transfer in this dynamic process. Therefore, the construction of an effective and stable catalytic system remains an immense challenge. Here, we report a strategy for constructing a hierarchically structured photocatalyst for efficiently degrading VOCs by assembling nanobiochar (nBC, ∼ 6.25 µm), the active center of ZnO (∼ 460 nm), and plasmonic-Ag nanoparticles (Ag NPs, ∼ 10 nm). Benefiting from its abundant surface functional groups (–OH, –CO, and –CO) and hierarchical structure-induced mesopores and macropores, VOCs can be quickly captured and dynamically diffused. Furthermore, Ag NPs build a charge transfer bridge and accumulate electrons to nBC from both the photogenerated electrons that are induced by ZnO and hot electrons from the local surface plasmon resonance (LSPR) effect of Ag NPs. Afterward, a desirable spatial separation of charge carriers and visible-light response can be achieved. Therefore, Ag/ZnO/nBC maximizes the reactive oxygen species (e.g., ·OH and ·O2−) and shows a 7.8 times higher degradation rate of formaldehyde than ZnO, and it also displays universality and stability with high photocatalytic efficiency. The photocatalytic performance was comprehensively determined based on the relative humidity, initial concentration, catalyst dose, and mass ratio of Ag NPs. This facile and universal strategy for architecting hierarchically structured photocatalysts provides an approach for enhancing photocatalytic performance for VOC degradation and environmental pollution treatment.

Effect of nickel slag on the basic tensile creep of alkali-activated slag/nickel slag mortars

Alkali-activated slag (AAS) is used as a green cementitious material with high strength and good durability, while the cracking damage due to high shrinkage limits the application of AAS in engineering project. The tensile stresses due to shrinkage can easily lead to the cracking of structures, while basic tensile creep can relax part of the tensile stresses and reduce the cracking risk. This study aims to investigate the effect of nickel slag (NS) on the basic tensile creep of alkali-activated slag/nickel slag mortars (ASNms). NS content refers to the weight ratio of NS to the summation of slag and NS. The properties of ASNms, including microstructure, hydration heat, internal relative humidity, mechanical properties, autogenous shrinkage and basic tensile creep, are studied. Results show that the mechanical properties of ASNms decrease with the increase in NS content. By reducing the hydration degree, the incorporation of NS decreases the amount of calcium aluminosilicate hydrate (C-(A-)SH) of ASNms, and the internal relative humidity and nominal crystal-binder ratio of ASNms are increased. As a result, the autogenous shrinkage of ASNms was significantly mitigated by incorporating NS. Autogenous shrinkage is the driving force of tensile creep. With the increase in NS content, the Na+ content absorbed by C-(A-)SH decrease, and therefore reduces the basic tensile creep of ASNms.

The Operating Parameters, Structural Composition, and Fuel Sustainability Aspects of PEM Fuel Cells: A Mini Review

This mini review discusses the sustainability aspects of various fuels for proton exchange membrane fuel cells (PEMFCs). PEMFCs operate by converting the chemical energy in a fuel into electrical energy. The most crucial parameters in the operation process are the temperature, pressure, relative humidity, and air stoichiometry ratio, as presented in this work. The classical structure of a PEMFC consists of a proton exchange membrane, anode electrode, cathode electrode, catalyst layers (CLs), microporous layer (MPLs), gas diffusion layers (GDLs), two bipolar plates (BPs), and gas flow channels (GFCs). The mechanical behavior and the conductivity of the protons are highly dependent on the structure of the MEAs. This review discusses the various fuels and their production paths from sustainable sources. For the fuel production process to be renewable and sustainable, a hydrogen electrolyzer could be powered from solar energy, wind energy, geothermal energy, or hydroelectric energy, to produce hydrogen, which in turn could be fed into the fuel cell. This paper also reviews biomass-based routes for sustainable fuel production.

Effects of small-scale storage on the cooking property and fatty acid profile of sea rice paddy

This research investigated the storability of sea rice paddy in an experimental silo for 11.5 months. Water was circulated in the silo walls from June 30 to maintain a grain bulk temperature of 23°C. The dry-bulb temperatures in three layers (top, middle, and bottom) of paddy bulk showed very small differences, but the intergranular air parameters such as relative humidity (RH), wet-bulb temperature and humidity ratio in middle and bottom bulk layers were significantly higher than those of top bulk layer, and storage insects occurred in these two bulk layers from August to September as a result that sulfuryl fluoride gas fumigation was done on September 30. During storage, the rice's water absorption rate and gruel solids loss decreased with storage time, while the peak temperature of gelatinization (Tp) increased, and water uptake ratio and taste panel score remained unchanged. Fatty acid profile analysis shows that the total, saturated, and unsaturated fatty acid concentrations decreased with storage time, while the unsaturated-to-saturated fatty acid ratio increased. Compared to top bulk layer, the bottom layer had lower water absorption rate and fatty acid concentration, and a similar Tp and better cooking property. Further compared with a short-grain Japonica paddy (cv. Yanfeng) stored in a large cooled warehouse before and after oversummering, sea rice paddy stored in the experimental silo had lower protein content, but had a higher Tp, poly-unsaturated fatty acid content and unsaturated-to-saturated fatty acid ratio, and similar amylose content and taste panel score. These results suggest that sea rice has good storability, and quasi-low-temperature storage (23°C) requires autumn chemical fumigation to control the storage insects.