Exergoeconomic analysis of an HCCI engine polygeneration process
| Autor: | Ali Güngör, Robert Hegner, Dominik Schröder, Burak Atakan |
|---|---|
| Přispěvatelé: | Ege Üniversitesi |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Exergy
Work (thermodynamics) Hydrogen 020209 energy HCCI engine Energy Engineering and Power Technology chemistry.chemical_element 02 engineering and technology Maschinenbau 020401 chemical engineering Global sensitivity analysis Partial oxidation of methane 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering Process engineering Renewable Energy Sustainability and the Environment business.industry Homogeneous charge compression ignition Fuel Technology Nuclear Energy and Engineering chemistry Scientific method System parameters Hydrogen production Environmental science Exergoeconomic analysis Electricity business Polygeneration |
| Popis: | A polygeneration system producing hydrogen, electricity, process steam, and heating water is modeled and studied by conducting an exergoeconomic analysis. This system includes a homogeneous charge compression ignition (HCCI) engine burning a rich methane-air mixture, a water-gas shift reactor (WGSR) and a palladium membrane for hydrogen separation. Different cost-apportioning methods were considered in the present work in order to assess their suitability for the studied system. Furthermore, a global sensitivity analysis was used to identify the relevant system parameters as well as to quantify the influence that the input data uncertainty causes on the costs of the system products. It is shown that these costs are sensitive to the investment costs of only few system components and that the highest exergy destruction rates and costs occur in the engine. With the predicted cost of hydrogen ranging from 3.23 to 3.99 (sic)/kg at EGR ratios of up to 25%, the studied process is promising. Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [AT 24/13-2] This research was funded by Deutsche Forschungsgemeinschaft, grant number AT 24/13-2. |
| Databáze: | OpenAIRE |
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