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Development and Techno-economic Assessment of Algal-based CO2 Capture

基于藻类的二氧化碳捕集技术的开发和技术经济评估

基本信息

批准号：
1952554
负责人：
金额：
--
依托单位：
University of Sheffield
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1952554
关键词：
Development Techno economic Assessment Algal

项目摘要

The aim of this project is to evaluate the potential for efficient and cost effective carbon capture and utilisation (CCU) from industrial flue gases using photosynthetic microalgal cultures. A microalgal CCU system will be designed, operated and optimised for efficient carbon capture. Experimental data will be used to produce techno-economic assessments covering total cost, CapEx and OpEx, all of which will be used to optimise for lowest costs and highest carbon capture efficiencies.Currently, Chlorella sp. have been cultivated in different conditions of aeration to give reference point data for comparison with growth under elevated CO2 conditions. The next stage of experimental work will involve exposing the algal cultures to progressively higher concentrations of CO2, up to those seen by a range of CO2 emitters. The conditions under which the cultures are grown will then be optimised for highest CO2 removal, best growth and lowest cost. Parameters which will be considered include: media composition, light regime applied to the culture and the use of different and novel microalgal species.A TEA model for the microalgal CCU has been produced and the experimental data will be used to produce cost-analyses. A TEA will be conducted at each stage of the experimental work to compare each parameter change and the effect it has on the overall cost of the system with the aim of optimising the system for lowest cost and highest carbon capture efficiency.

该项目的目的是评估利用光合微藻培养物从工业烟气中高效和具有成本效益的碳捕获和利用（CCU）的潜力。将设计、操作和优化微藻CCU系统，以实现高效的碳捕获。实验数据将用于产生涵盖总成本、资本支出和运营支出的技术经济评估，所有这些都将用于优化最低成本和最高碳捕获效率。目前，小球藻已经在不同的曝气条件下进行了培养，以提供参考点数据，与CO2升高条件下的生长进行比较。下一阶段的实验工作将涉及将藻类培养物暴露在逐渐升高的二氧化碳浓度中，直到一系列二氧化碳排放者所看到的浓度。然后，培养物的生长条件将被优化为最高的CO2去除，最佳的生长和最低的成本。将考虑的参数包括：培养基组成、用于培养的光照制度以及不同和新的微藻物种的使用。微藻CCU的TEA模型已经建立，实验数据将用于成本分析。在实验工作的每个阶段，将进行TEA，以比较每个参数的变化及其对系统总体成本的影响，以优化系统，以实现成本最低和碳捕获效率最高的目标。