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000827015 1001_ $$0P:(DE-Juel1)130467$$aKuckshinrichs, Wilhelm$$b0$$eCorresponding author$$ufzj
000827015 245__ $$aEconomic analysis of improved Alkaline Water Electrolysis
000827015 260__ $$aLausanne$$bFrontiers Media$$c2017
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000827015 520__ $$aAlkaline water electrolysis (AWE) is a mature hydrogen production technology and there exists a range of economic assessments for available technologies. For advanced AWEs, which may be based on novel polymer-based membrane concepts, it is of prime importance that development comes along with new configurations and technical and economic key process parameters for AWE which might be of interest for further economic assessments. This paper presents an advanced AWE technology referring to 3 different sites in Europe (Germany, Austria, Spain). The focus is on financial metrics, the projection of key performance parameters of advanced AWEs, and further financial and tax parameters. For financial analysis from an investor’s (business) perspective, a comprehensive assessment of a technology not only comprises cost analysis but also further financial analysis quantifying attractiveness and supply/market flexibility. Therefore, based on Cash Flow (CF) analysis, a comprehensible set of metrics may comprise Levelised Cost of Energy or, respectively, Levelised Cost of Hydrogen (LCH) for cost assessment, Net Present Value (NPV) for attractiveness analysis and Variable Cost (VC) for analysis of market flexibility. The German AWE site turns out to perform best in all three financial metrics (LCH, NPV, VC). Though there are slight differences in investment cost and operation and maintenance cost projections for the three sites, the major cost impact is due to the electricity cost. Although investment cost is slightly and labour cost is significantly lower in Spain, the difference can’t outweigh the higher electricity cost compared to Germany. Given the assumption that the electrolysis operators are customers directly and actively participating in power markets, and based on the regulatory framework in the three countries, in this special case electricity cost in Germany is lowest. However, as electricity cost is profoundly influenced by political decisions as well as the implementation of economic instruments for transforming electricity systems toward sustainability, it is hardly possible to further improve electricity price forecasts.
000827015 536__ $$0G:(DE-HGF)POF3-153$$a153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153)$$cPOF3-153$$fPOF III$$x0
000827015 7001_ $$0P:(DE-Juel1)156464$$aKetelaer, Thomas$$b1$$ufzj
000827015 7001_ $$0P:(DE-Juel1)158005$$aKoj, Jan Christian$$b2$$ufzj
000827015 773__ $$0PERI:(DE-600)2733788-1$$a10.3389/fenrg.2017.00001$$n1$$p1-21$$tFrontiers in energy research$$v5$$x2296-598X$$y2017
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