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Recent developments and challenges in optimization-based process synthesis
This article first reviews recent developments in process synthesis and discusses some of
the major challenges in the theory and practice in this area. Next, the article reviews key …
the major challenges in the theory and practice in this area. Next, the article reviews key …
Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives
The active management of electricity demand, also referred to as demand side management
(DSM), has been recognized as an effective approach to improving power grid performance …
(DSM), has been recognized as an effective approach to improving power grid performance …
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems
With the increasing penetration of renewable generating units, especially in remote areas
not well connected with load demand, there are growing interests to co-optimize generation …
not well connected with load demand, there are growing interests to co-optimize generation …
Challenges in process optimization for new feedstocks and energy sources
Current and future challenges of optimization in the process industry are discussed. The gap
between academic research and industrial workflow is analyzed. Moreover, issues arising …
between academic research and industrial workflow is analyzed. Moreover, issues arising …
Tightening piecewise McCormick relaxations for bilinear problems
PM Castro - Computers & Chemical Engineering, 2015 - Elsevier
We address nonconvex bilinear problems where the main objective is the computation of a
tight lower bound for the objective function to be minimized. This can be obtained through a …
tight lower bound for the objective function to be minimized. This can be obtained through a …
Review of mixed‐integer nonlinear and generalized disjunctive programming methods
This work presents a review of the main deterministic mixed‐integer nonlinear programming
(MINLP) solution methods for problems with convex and nonconvex functions. An overview …
(MINLP) solution methods for problems with convex and nonconvex functions. An overview …
Game theory-based renewable multi-energy system design and subsidy strategy optimization
Renewable multi-energy systems have become a promising solution for deep
decarbonization. However, government subsidy is needed to incentivize the deployment of …
decarbonization. However, government subsidy is needed to incentivize the deployment of …
Air separation with cryogenic energy storage: optimal scheduling considering electric energy and reserve markets
The concept of cryogenic energy storage (CES) is to store energy in the form of liquid gas
and vaporize it when needed to drive a turbine. Although CES on an industrial scale is a …
and vaporize it when needed to drive a turbine. Although CES on an industrial scale is a …
Supplier selection in the processed food industry under uncertainty
This paper addresses an integrated framework for deciding about the supplier selection in
the processed food industry under uncertainty. The relevance of including tactical production …
the processed food industry under uncertainty. The relevance of including tactical production …
Sharing hydropower flexibility in interconnected power systems: A case study for the China Southern power grid
J Zhang, C Cheng, S Yu, H Wu, M Gao - Applied Energy, 2021 - Elsevier
In 2020, China pledged to become carbon neutral before 2060, which implies the
acceleration of China's low-carbon energy transition and development of new energy (wind …
acceleration of China's low-carbon energy transition and development of new energy (wind …