Title: Opportunities of Integrating CO2 Utilization with RES-E: a Power-to-Methanol Business Model with Wind Power Generation
Authors: GONZALEZ APARICIO IRATXEPEREZ FORTES MARIA DEL MARZUCKER ANDREASTZIMAS EVANGELOS
Citation: ENERGY PROCEDIA vol. 114 p. 6905-6918
Publisher: ELSEVIER BV
Publication Year: 2016
JRC N°: JRC104381
ISSN: 1876-6102
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC104381
DOI: 10.1016/j.egypro.2017.03.1833
Type: Articles in periodicals and books
Abstract: Under the need to reduce CO2 emissions, renewable energy sources for electricity (RES-E) and more efficient processes are needed to decrease GHG emission rates. Carbon dioxide utilization (CDU) for the production of fuels, chemicals and materials is becoming complementary to capture CO2 and a promising source of competitive advantage for the European industry. CDU processes are at conceptual design, up to small demonstration readiness level. Since the CDU process has to compete with well-established conventional synthesis processes, they may not be profitable at current market conditions. Moreover, to have lower carbon footprint than the benchmark process, it has been demonstrated that they need electricity from renewable sources when CO2 is combined with H2 as raw material [1]. This work explores the conditions to make the CDU process competitive in the power market as a chemical storage alternative. In particular, the study aims at evaluating the connection of a methanol CDU plant with a wind power portfolio, to elucidate under which conditions this relationship is advantageous for both: (i) the CDU plant as a source of low-cost and zero emission energy, and (ii) the wind producer for the maximization of its profit. The business model proposed here considers one system actor maximizing its profit. The system actor is a wind producer that sells its RES-E to the day-ahead power market or that uses its RES-E to synthesize and sell methanol. The intraday market is used as balancing market for the deviations of the wind power forecasting. The model lies in the methodology developed by [2], aiming at reducing the wind power forecasting uncertainty, between the closure of the day-ahead market and the first intraday bidding session in the Spanish power market. The business model has been implemented an ad-hoc linear programming optimization based in GAMS
JRC Directorate:Energy, Transport and Climate

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.