Browsing by Author "Romeo, Luis M."

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    Technical and economic feasibility evaulation of calcium looping with no CO2 recirculation
    (Elsevier, 2017-11-04) Hanak, Dawid P.; Erans, María; Nabavi, Seyed Ali; Jeremias, Michal; Romeo, Luis M.; Manovic, Vasilije
    Carbon capture and storage is expected to play a key role in decarbonisation of the power and industrial sectors, with calcium looping (CaL) being regarded as a well-developed technology that can reduce energy and economic penalties associated with mature technologies. Nevertheless, retrofits of CaL to coal-fired power plants result in net efficiency penalties of 5–8% points. The state-of-the-art CaL configurations assume that, similarly to oxy-fuel combustion systems, CO2 needs to be recycled to moderate the temperatures in the calciner. This study aims to assess the feasibility of CaL with no CO2 recirculation to the calciner via pilot plant testing and techno-economic analysis. The results collected during the experimental trials indicated that the temperatures inside of the calciner were within 930–950 °C, which were within the commonly reported operating temperature range of that reactor. Furthermore, the techno-economic analysis of the CaL retrofit to a conventional 580 MWel coal-fired power plant indicated that operation of CaL without CO2 recirculation will have a negligible effect on the net thermal efficiency of the entire system. Nevertheless, reduction in the size of the system resulted in a 21.7% reduction in the specific capital cost, and thus a 14.3% and 27.4% reduction in the levelised cost of electricity and cost of CO2 avoided, respectively. Therefore, CaL with no CO2 recirculation can be considered as a technically and economically feasible option to reduce the economic penalty associated with this emerging technology.
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    Techno-economic feasibility of power to gas–oxy-fuel boiler hybrid system under uncertainty
    (Elsevier, 2018-10-12) Bailera, Manuel; Hanak, Dawid P.; Lisbona, Pilar; Romeo, Luis M.
    One of the main challenges associated with utilisation of the renewable energy is the need for energy storage to handle its intermittent nature. Power-to-Gas (PtG) represents a promising option to foster the conversion of renewable electricity into energy carriers that may attend electrical, thermal, or mechanical needs on-demand. This work aimed to incorporate a stochastic approach (Artificial Neural Network combined with Monte Carlo simulations) into the thermodynamic and economic analysis of the PtG process hybridized with an oxy-fuel boiler (modelled in Aspen Plus®). Such approach generated probability density curves for the key techno-economic performance indicators of the PtG process. Results showed that the mean utilisation of electricity from RES, accounting for the chemical energy in SNG and heat from methanators, reached 62.6%. Besides, the probability that the discounted cash flow is positive was estimated to be only 13.4%, under the set of conditions considered in the work. This work also showed that in order to make the mean net present value positive, subsidies of 68 €/MWelh are required (with respect to the electricity consumed by PtG process from RES). This figure is similar to the financial aids received by other technologies in the current economic environment.