Carbon capturing is recognized as an essential solution for reducing greenhouse gas emissions, particularly produced by thermal power plants. The main disadvantage of the existing capturing technologies is the high capital and operating costs. This study presents a thermodynamic analysis of an ammonia-based carbon capturing system to produce ammonium bicarbonate as a valuable commodity to offset the high costs of carbon capturing. This system uses a renewable energy source to supply the power required for the carbon capturing system. A thermodynamic model of the carbon capturing system is established using the energy and exergy approaches. The results of the modeling work show that the present system offers a high carbon capturing efficiency of 95.5%, but the energy requirements are substantially high at a value of 14.3 MJ kg⁻¹ of carbon dioxide captured. The exergy analysis of this system shows that the proton-exchange membrane electrolyzer produces 88.3% of the total exergy destruction rate at a value of 1.99 kW when the carbon capturing system receives 5 kW of power input. The designed system is for a pilot-scale application. Even though the energy requirements are high, the value generation rate of this system can reach as high as C$158 in one hour of operation compared to typical carbon capture systems that have energy penalties that cause losses instead of economic gains. This study demonstrates the economic potential of using carbon capture systems that co-produce useful chemicals to not only compensate for the operation costs of carbon capturing but generate value in the process.

碳捕获被认为是减少温室气体排放的重要解决方案，尤其是热电厂产生的温室气体排放。现有捕集技术的主要缺点是资金和运营成本高。本研究对基于氨的碳捕获系统进行了热力学分析，以生产碳酸氢铵作为一种有价值的商品，以抵消碳捕获的高成本。该系统使用可再生能源为碳捕获系统提供所需的电力。使用能量和火用方法建立了碳捕获系统的热力学模型。建模工作的结果表明，本系统提供了 95.5% 的高碳捕获效率，但能量需求非常高，为 14.3 MJ kg^-1捕获的二氧化碳。该系统的火用分析表明，当碳捕获系统接收 5 kW 的功率输入时，质子交换膜电解槽产生 88.3% 的总火用破坏率，值为 1.99 kW。设计的系统用于中试规模的应用。尽管能源需求很高，但与典型的碳捕获系统相比，该系统的价值生成率在运行一小时内可高达 158 加元，而典型的碳捕获系统的能源惩罚会导致损失而不是经济收益。这项研究证明了使用共同生产有用化学品的碳捕获系统的经济潜力，不仅可以补偿碳捕获的运营成本，还可以在该过程中产生价值。