Multi-Objective Optimization of Integrated Solar-Driven CO 2 Capture System for an Industrial Building

Yongting Shen () and Hongxing Yang
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Yongting Shen: Renewable Energy Research Group (RERG), Research Institute for Smart Energy (RISE), Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Hongxing Yang: Renewable Energy Research Group (RERG), Research Institute for Smart Energy (RISE), Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Sustainability, 2022, vol. 15, issue 1, 1-25

Abstract: Industrial CO 2 emission, accounting for nearly a quarter of the total CO 2 emission, is a “hard-to-abate” emission sector, owing to the longstanding challenge in reducing CO 2 emission while not sacrificing industry economics. Herein, this research proposes an integrated solar-driven CO 2 capture system for application in industrial buildings to decarbonize factories’ CO 2 -rich exhaust gas generated from workers or manufacturing processes, and further conducts multi-objective optimization based on the NSGA-II algorithm. By setting the integrated system’s performances, including captured CO 2 mass, net levelized CO 2 cost-profit, generated electricity, and exergy efficiency, as the constrained multi-objectives, the effects of system working parameters on them are disentangled and articulated concerning the energy-mass balance principles. Research demonstrates that the captured CO 2 mass mainly depends on solar radiation and sorbent mass, net levelized CO 2 cost on sorbent mass, and exergy efficiency on the total solar input. For capturing the CO 2 from a light-CO 2 -intensity factory with CO 2 partial pressure of 1000 Pa by using 6.0 tons of Zeolite 13X, a CO 2 capacity of 0.79 mol/kg, levelized CO 2 cost of 128.4 USD/ton, and exergy efficiency of 5–10% can be achieved. Furthermore, sensitivity and scenario analysis are conducted to demonstrate the system’s stability and feasibility. Overall, this work provides comprehensive and objective-oriented guidance for policymakers and industry owners and paves the way for greening the ever-increasing industry needs.

Keywords: building-integrated solar energy; industrial CO 2 capture; multi-objective optimization; NSGA-II algorithm; techno-economic analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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