TR2025-106
Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering
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- "Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering", American Control Conference (ACC), July 2025.BibTeX TR2025-106 PDF
- @inproceedings{Zhang2025jul2,
- author = {Zhang, Qi and Avraamidou, Styliani and Paulson, Joel A. and Thakkar, Vyom and Wang, Zhenyu and Chiang, Leo and Braun, Birgit and Rathi, Tushar and Chakrabarty, Ankush and Sorouifar, Farshud and Tang, Wei-Ting and Guertin, France and Munoz, Paola and Sampat, Apoorva},
- title = {{Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering}},
- booktitle = {American Control Conference (ACC)},
- year = 2025,
- month = jul,
- url = {https://www.merl.com/publications/TR2025-106}
- }
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- "Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering", American Control Conference (ACC), July 2025.
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MERL Contact:
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Research Areas:
Abstract:
This paper provides an overview of recent re- search efforts on the role of Process Systems Engineering (PSE) in advancing sustainability initiatives, particularly in achieving net-zero emissions and carbon neutrality. The paper is organized as a collection of four domains where PSE methodologies contribute to sustainability: (i) carbon monetization and low-carbon supply chains, where optimization and systems modeling help design cost-effective decarbonization strategies; (ii) circular economy and sustainable manufacturing, which leverage system-level optimization to minimize resource consumption and maximize economic viability; (iii) sustain- able land management and ecosystem services, where PSE approaches aid in quantifying trade-offs between land use, emissions, and economic feasibility; and (iv) advanced control technology, particularly in building energy management, where data-driven control strategies enhance energy optimization under significant uncertainty. In addition to reviewing relevant literature, this paper highlights common challenges across these domains and discusses future opportunities for integrating emerging technologies, such as generative AI and mixed-integer programming, into PSE-driven sustainability strategies.
Related News & Events
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NEWS MERL researchers present 13 papers at ACC 2025 Date: July 8, 2025 - July 10, 2025
Where: Denver, USA
MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Purnanand Elango; Jordan Leung; Saviz Mowlavi; Diego Romeres; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Control, Dynamical Systems, Electric Systems, Machine Learning, Multi-Physical Modeling, RoboticsBrief- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.