Optimal scheduling of hydrogen energy hub for stable demand with uncertain photovoltaic and biomass
Single hydrogen production methods cannot meet the stable hydrogen demand for many
engineering applications under carbon emission requirements. This paper proposes a …
engineering applications under carbon emission requirements. This paper proposes a …
A mixed integer linear programming approach for the design of chemical process families
The need for rapid and widespread deployment of new technologies to address climate
change goals (eg, deep, economy-wide decarbonization) presents new opportunities for …
change goals (eg, deep, economy-wide decarbonization) presents new opportunities for …
Insights into the design of polymetallic ore flotation circuits, including tailing desulfurization
Flotation is a main mineral concentration technology, which is why the design of flotation
circuits has been extensively studied in the literature. However, studies on flotation circuit …
circuits has been extensively studied in the literature. However, studies on flotation circuit …
A Superstructure-Based Lignin Valorization Process Optimization Model for Lignocellulosic Biorefineries through Biological Upgrading
Y Wu, JM Restrepo-Flórez… - … Sustainable Chemistry & …, 2024 - ACS Publications
This study presents an optimization framework to identify economically viable pathways for
lignin valorization in biorefineries that employ biological upgrading. The economic potential …
lignin valorization in biorefineries that employ biological upgrading. The economic potential …
[HTML][HTML] A novel exact formulation for parallel machine scheduling problems
Abstract Machine scheduling is one of the most studied problems due to its technical
challenges and prevalence in real life. In the literature, continuous-and discrete-time …
challenges and prevalence in real life. In the literature, continuous-and discrete-time …
Extensions to generalized disjunctive programming: hierarchical structures and first-order logic
HD Perez, IE Grossmann - Optimization and Engineering, 2024 - Springer
Optimization problems with discrete–continuous decisions are traditionally modeled in
algebraic form via (non) linear mixed-integer programming. A more systematic approach to …
algebraic form via (non) linear mixed-integer programming. A more systematic approach to …
Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs
The optimization of chemical processes is challenging due to the nonlinearities arising from
process physics and discrete design decisions. In particular, optimal synthesis and design of …
process physics and discrete design decisions. In particular, optimal synthesis and design of …
Optimal planning of biofuel supply chains incorporating temporality of unconventional bioresources
PE Murillo-Alvarado, JM Ponce-Ortega - Environment, Development and …, 2024 - Springer
Most biofuels today come from sources that have some relationship with products of the
human diet, which has generated controversy regarding their feasibility for industrial-scale …
human diet, which has generated controversy regarding their feasibility for industrial-scale …
Optimal mitigation and control over power system dynamics for stochastic grid resilience
Optimal mitigation planning for highly disruptive contingencies to a transmission-level power
system requires optimization with dynamic power system constraints, due to the key role of …
system requires optimization with dynamic power system constraints, due to the key role of …
Modeling combinatorial disjunctive constraints via junction trees
We introduce techniques to build small ideal mixed-integer programming (MIP) formulations
of combinatorial disjunctive constraints (CDCs) via the independent branching scheme. We …
of combinatorial disjunctive constraints (CDCs) via the independent branching scheme. We …