International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Low operating temperature, compactness, high efficiency as well as low to zero emissions are features that cause large interest in Proton Exchange Membrane (PEM) fuel cells and are reasons that application of this technology is considered in many areas. However, for a massive deployment of the PEM fuel cell technology to the market, good control and monitoring are mandatory to increase efficiency and durability. For the control and monitoring of PEM fuel cell systems, appropriate system models are required. In this study, a review of modeling approaches to the PEM fuel cell systems is considered

Building up a low-carbon society has become one of the world’s common challenges. ‘Power to Gas’ efforts – to convert electric power derived from renewable energy into hydrogen – are being actively conducted, mainly in Germany. Similar efforts are

being made in Japan. For example, concerned Japanese cabinet members agreed on a ‘ Hydrogen basic strategy ‘ on Dec. 26 2017. This strategy, with a view to 2050, shows direction and vision toward the realization of a hydrogen society and compiles an action plan to achieve that goal. It aims to scale up hydrogen consumption volume from 0.4 ten thousand t (2020) to 30 ten thousand t (2030) and deduct the unit price of hydrogen from ￥100Nm³ (now) to ￥30Nm³ (2030).We will also try to construct a preliminary autonomous energy system using regenerative energy. In this paper, the operation and function of such a system is described.

In this study, microbial fuel cell’s energy conversion performance experimentally investigated from the chemical energy of the organic waste to electrical energy by means of microorganisms. Microbial fuel cell (MFC) consists of two cells which has 15x15x15 cm³ volume. One part of the cell conserves the mud (anode) the other part conserves the water (cathode). The membrane of the microbial fuel cell has 8×8 cm² area. Two different samples were used in the experiments which are active and settlement mud. The power, volt and current values of the active and settlement mud for different temperature, resistance and bubble were determined. The temperature values consist of ΔT = 8°C, ΔT = 10°C, ΔT = 12°C, ΔT = 14°C. ΔT=Tenvironment- Tmud. For every ΔT value 2 different bubble values were examined (High=21,5 g/h, low=3,5 g/h). For every bubble effect 7 different resistance values were determined (1. Resistance= 3,75 Ω; 2. Resistance =7,5 Ω; 3. Resistance =10,5; 4. Resistance = 14,5 Ω; 5. Resistance = 16 Ω; 6. Resistance = 19 Ω; 7. Resistance = 21,5 Ω) and the performance of the 8×8 cm2 membrane of the MFC is detected. As a result; with the increase of the temperature, resistance and bubble effect the voltage production increases and correspondingly the current decreases. When all the experimental results are evaluated,the highest voltage production (687 mV) occurred at ΔT = 14°C and 21,5 Ω with the high bubble effect in the settlement mud. Also, in this study, MFCs performances in terms of voltage, current, temperature, power was modeled with Rule-Based Mamdani-Type Fuzzy (RBMTF) modeling technique. Input parameters ΔT and time; output parameter power was described by RBMTF if-the rules. 1792 experimental data sets, which obtained for power according to ΔT and time, were used in the training step. The comparison between experimental data and RBMTF is done by using coefficient of multiple determination (R2). The actual values and RBMTF results indicated that RBMTF can be successfully used in MFC.