Barbero Roberto, Carnelli Lino, Simon Anna, Kao Albert, Monforte Alessandra d'Arminio, Riccò Moreno, Bianchi Daniele, Belcher Angela
Department of Biological Engineering, The David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 32 Vassar Street, Building 76-561, Cambridge, MA 02142, USA. Tel: +1 617 324 3400.
Eni s.p.a - Research Center for Non-Conventional Energy, Istituto Eni Donegani, Via Fauser, 4 - 28100 Novara (NO), Italy. ; Tel: +39 032 144 7614.
Energy Environ Sci. 2013 Feb 1;6(2):660-674. doi: 10.1039/C2EE24060B.
In this work, a biologically catalyzed CO mineralization process for the capture of CO from point sources was designed, constructed at a laboratory scale, and, using standard chemical process scale-up protocols, was modeled and evaluated at an industrial scale. A yeast display system in was used to screen several carbonic anhydrase isoforms and mineralization peptides for their impact on CO hydration, CaCO mineralization, and particle settling rate. Enhanced rates for each of these steps in the CaCO mineralization process were confirmed using quantitative techniques in lab-scale measurements. The effect of these enhanced rates on the CO capture cost in an industrial scale CO mineralization process using coal fly ash as the CaO source was evaluated. The model predicts a process using bCA2- yeast and fly ash is ~10% more cost effective per ton of CO captured than a process with no biological molecules, a savings not realized by wild-type yeast and high-temperature stable recombinant CA2 alone or in combination. The levelized cost of electricity for a power plant using this process was calculated and scenarios in which this process compares favorably to CO capture by MEA absorption process are presented.
在本研究中,设计了一种用于从点源捕获CO₂的生物催化CO₂矿化过程,在实验室规模进行构建,并使用标准化学过程放大协议,在工业规模上进行建模和评估。利用酵母展示系统筛选了几种碳酸酐酶同工型和矿化肽,以研究它们对CO₂水合、CaCO₃矿化和颗粒沉降速率的影响。通过实验室规模测量中的定量技术,证实了CaCO₃矿化过程中这些步骤的速率提高。评估了这些提高的速率对以粉煤灰为CaO源的工业规模CO₂矿化过程中CO₂捕获成本的影响。该模型预测,使用bCA2-酵母和粉煤灰的过程每吨捕获的CO₂成本效益比不使用生物分子的过程高约10%,野生型酵母和高温稳定重组CA2单独或组合使用均无法实现这种节省。计算了使用该过程的发电厂的平准化电力成本,并给出了该过程与MEA吸收过程捕获CO₂相比具有优势的情景。