Facts

Publicatations

<2025>

33. Yoonjae Lee¹, Jaerak Ko¹, Oseok Kwon, Hoyoung Park, Hyeonjeong Lee, Sumin Jeong, Soonho Hwangbo*, and Jeehoon Han*. Biological-chemical conversion process design and machine learning-related life cycle assessment: Bio-lubricant production in a real case study of South Korea, Journal of Environmental Management

32. Jiwon Kim¹, Jaerak Ko¹, Yoonjae Lee, Hyeonjeong Lee, Sumin Jeong, Jiyun Yoo, Sang-A Lee, Gyeongtaek Gong, Young-Woong Suh, Sun-Mi Lee*, Jeehoon Han*, and Soonho Hwangbo*. High-yield oleic acid production through glucose-xylose co-fermentation process from lignocellulosic biomass: Techno-economic analysis and environmental evaluation on a large-scale case study, Chemical Engineering Journal

31. Hye Jin Lee¹, Yoonjae Lee¹, Eun-hyeok Yang, Jiyun Yoo, Seungjun Choi, Soonho Hwangbo, Young-Woong Suh, Jayeon Baek*, Jeehoon Han*, and Yong Jin Kim*. Environmentally friendly process design for furan-based long-chain diesters production aiming for bio-based lubricant, Green Chemistry

<2024>

30. Ergys Pahija¹, Soonho Hwangbo, Thomas Saulnier-Bellemare, and Gregory S. Patience*. Experimental methods in chemical engineering: Monte Carlo, The Canadian Journal of Chemical Engineering

29. Byeongmin Ha¹, Seolji Nam¹, Jaewon Byun, Jeehoon Han, and Soonho Hwangbo*. Stochastic techno-economic assessment of future renewable energy networks based on integrated deep-learning framework: A case study of South Korea, Chemical Engineering Journal

28. Taehyun Kim¹, Dongmin Lee, and Soonho Hwangbo*. A deep-learning framework for forecasting renewable electricity demands with variational auto-encoder and bidirectional long short-term memory, Sustainable Energy, Grids and Networks

27. SungKu Heo¹, Jaewon Byun¹, Pouya Ifaei, Jaerak Ko, Byeongmin Ha, Soonho Hwangbo*, and ChangKyoo Yoo*. Towards mega-scale decarbonized industrial park (Mega-DIP): AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry, Renewable & Sustainable Energy Reviews

<2023>

26. Taehyun Kim¹, Byeongmin Ha¹, and Soonho Hwangbo*. Online machine learning approach for system marginal price forecasting using multiple economic indicators: A novel model for real-time decision making, Machine Learning with Applications

25. Junghee Joo¹, Jiwon Kim¹, Jaewon Byun ¹, Yoonjae Lee, Taehyun Kim, Soonho Hwangbo*, Jeehoon Han*, Sung-Kon Kim*, and Jechan Lee*. Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach, Applied Energy

24. Junho Cha¹, Sujin Eom, Subin Lee, Changwon Lee, and Soonho Hwangbo*. Evaluation on large-scale biowaste process: Spent coffee ground along with real option approach, Clean Technology

<2022>

23. SungKu Heo¹, Jaerak Ko, SangYoun Kim, Soonho Hwangbo*, and ChangKyoo Yoo*. Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy, Journal of Cleaner Production

22. Yoonjae Lee¹, Byeongmin Ha¹, and Soonho Hwangbo*. Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy, Renewable Energy

21. Min Beom Kim¹, Soonho Hwangbo, Sungho Jang, and Yun Kee Jo*. Bioengineered co-culture of organoids to recapitulate host-microbe interactions, Materials Today Bio

20. Taehyun Kim¹, Yoonjae Lee¹, and Soonho Hwangbo*. Research on forecasting framework for system marginal price based on deep recurrent neural networks and statistical analysis models, Clean Technology

19. Soonho Hwangbo¹, SungKu Heo¹, and ChangKyoo Yoo*. Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical industry, Energy

<2021>

18. Gahee Rhee¹, Juin Yau Lim¹, Soonho Hwangbo*, and ChangKyoo Yoo*. Evaluation of an integrated microalgae-based biorefinery process and energy-recovery system from livestock manure using a superstructure model, Journal of Cleaner Production

17. Soonho Hwangbo^1,*, Resul Al, Xueming Chen, and Gürkan Sin. Integrated model for understanding N₂O emissions from wastewater treatment plants: A deep learning approach, Environmental Science & Technology

<2020>

16. Soonho Hwangbo^1,*, Resul Al, and Gürkan Sin. An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations, Computers & Chemical Engineering

15. Soonho Hwangbo^1,* and Gürkan Sin*. Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation, Computers & Chemical Engineering

14. Paulina Vilela¹, SungKu Heo¹, Soonho Hwangbo*, and ChangKyoo Yoo*. Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park, Korean Journal of Chemical Engineering

13. Juin Yau Lim¹, Bing Shen How, Gahee Rhee, Soonho Hwangbo*, and ChangKyoo Yoo*. Debottlenecking of localized renewable energy system towards sustainable hydrogen development planning: P-graph approach, Applied Energy

12. KiJeon Nam¹, Soonho Hwangbo¹, and ChangKyoo Yoo*. A deep learning-based forecasting model for renewable energy scenarios to guide renewable energy policy on Jeju Island, Renewable & Sustainable Energy Reviews

11. Soonho Hwangbo¹, Gürkan Sin, Gahee Rhee, and ChangKyoo Yoo*. Development of integrated waste-to-energy and multi-site utility network considering air pollutant emissions pinch analysis, Journal of Cleaner Production

<2019>

10. Qian Li¹, Jorege Loy-Benitez¹, Soonho Hwangbo*, Jouan Rashidi, and ChangKyoo Yoo*. Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks, Energy

9. Soonho Hwangbo¹, KiJeon Nam, SungKu Heo, and ChangKyoo Yoo*. Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms, Energy Conversion and Management

8. Tuan-Viet Hoang¹, Pouya Ifaei, Kijeon Nam, Jouan Rashidi, Soonho Hwangbo*, and ChangKyoo Yoo*. Optimal management of a hybrid renewable energy system coupled with a membrane bioreactor using enviro-economic and power pinch analyses for sustainable climate change adaption, Sustainability

<2018>

7. Gahee Rhee¹, Soonho Hwangbo, and ChangKyoo Yoo*. Fate analysis and impact assessment for vehicle polycyclic aromatic hydrocarbons (PAHs) emitted from metropolitan city using multimedia fugacity model, Korean Chemical Engineering Research

6. Soonho Hwangbo¹, KiJeon Nam, Jeehoon Han, In-Beum Lee, and ChangKyoo Yoo*. Integrated hydrogen supply networks for waste biogas upgrading and hybrid carbon-hydrogen pinch analysis under hydrogen demand uncertainty, Applied Thermal Engineering

5. Paulina Vilela¹, Hongbin Liu, SeungChul Lee, Soonho Hwangbo, KiJeon Nam, and ChangKyoo Yoo*. A systematic approach of removal mechanisms, control and optimization of silver nanoparticle in wastewater treatment plants, Science of the Total Environment

<2017>

4. Soonho Hwangbo¹, Seungchul Lee, and ChangKyoo Yoo*. Optimal network design of hydrogen production by integrated utility and biogas supply networks, Applied Energy

3. Seungchul Lee¹, Soonho Hwangbo, and ChangKyoo Yoo*. Gain scheduling based ventilation control with varying periodic indoor air quality (IAQ) dynamics for healthy IAQ and energy savings, Energy and Buildings

2. Soonho Hwangbo¹, In-Beum Lee, and Jeehoon Han*. Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty, Applied Energy

<2016>

1. Soonho Hwangbo¹, In-Beum Lee, and Jeehoon Han*. Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices, Energy