GRANT AGREEMENT
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1 GRANT AGREEMENT
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13 In the following sections, the tasks progress at the date of this report (end of April 2017), for each partner and the equipment associated, is evaluated.
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38 Component Model Comment PV panel Time series obtained from with the technical / parameter presented in next table Electrolyser Constant efficiency n = 0.53 (LHV) Efficiency of the electrolyser in nominal operation, provided by ITM Fuel cell Constant efficiency n = 0.6 Generic fuel cell efficiency Batteries Constant efficiency in charge and discharge / Electrolyser BoP Consumption = 0.3*stack consumption ITM Electrical load Time series defined as equal to 400W+x*3000W, x depending on FHA temperature and hours of the day Hydrogen storage Pressured tank FHA Hydrogen load Time series defined by user / Components main parameters, their values and their justifications are sum up in Table 35 below. Component Main Parameters Value and Unit Justification PV Electrolyser Electrolyser auxiliaries Fuel cell Battery Hydrogen storage PV panels DC peak power 60 kwp Maximum the project can afford Azimuth 180 (= direction South) FHA Degree of inclination 20 Electrolyser efficiency 62 kwh/kg (constant) ITM Electrolyser max power 50 kw ITM Electrolyser min power 1 kw ITM Nominal operating pressure 20 bar ITM Electrolyser BoP consumption 30% of the stack ITM Fuel cell max power 4,5 kw FHA 1 Fuel cell efficiency 0,05 kgh2/kwh Generic Fuel cell starting operation 2 0,3 battery State of Charge (SOC) CEA TECH hypothesis Fuel cell stopping 2 operation 0,4 battery SOC CEA TECH hypothesis Capacity of the batteries 30 kwh FHA 3 Cycle efficiency 0.75 Literature Minimal SOC 0.2 Literature FHA from D2.3 (minimal H2 Storage Volume 10 kg value required for safety purpose) Maximum mass flow rate of H2 storage 10 kg/h Generic Initial Pressure 10 bar FHA rack Maximal Pressure 350 bar FHA rack Compressor Efficiency 0.72 Generic
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62 Water consumption (m3/month) 2,5 2,0 1,5 1,0 0,5 0,0
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64 Context and objectives Presentation of the Odyssey platform organization
65 Presentation of the inputs and outputs of Odyssey
66 Presentation of the simulated energetic system Management strategies in Odyssey
67 Functioning of the software Steps of a simulation
68 Software functionalities: proceeding of a sensitivity analysis and an optimization
69 Once these different information completed, the user can launch the sensitivity analysis. This one is constituted of a succession of simulations. The algorithm used is a determinist and exhaustive algorithm. It consists in searching all the possible combinations of values of the parameters, depending on the minimal, maximal and step value chosen by the user. For each combination, Odyssey realizes a simulation and evaluates the chosen indicators. Then, these information are stored and Odyssey do the calculation for the next combination of
70 parameters. Results of the sensitivity analysis are presented in a table in which one each line is constituted of a combination of parameters and of the associated indicators values.
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