Optimization

Food security and sustainability are the most urgent problems in worldwide. In the present study, the combinations of egg albumen, pea protein, and gellan gum were optimized to fabricate an artificial steak for specific populations. The relationships among the different components on the texture profile analysis, sensory evaluation, viscoelastic properties, and thermal behavior were conducted. 3D printing food was an emerging issue, this study also investigated how to fabricated an artificial steak and mitigate the impacts of meat production.
Elsevier, Transportation Research Part E: Logistics and Transportation Review, Volume 157, January 2022
Humanitarian aid in disasters is critical to saving lives and alleviating human suffering. This paper presents a novel scenario-based robust bi-objective optimization model that integrates medical facility location, casualty transportation, and relief commodity allocation considering triage. The proposed model aims to minimize the total deprivation cost of casualties due to the delayed access to medical services and the total operation cost.
This study investigated the drying behaviour of purple-speckled Cocoyam and the effect of drying temperature (40 °C, 60 °C and 75 °C), slice thickness (4 mm, 7 mm and 10 mm) and pre-treatments (blanching in boiling water for 3 min, blanching in boiling water for 3 min followed by dipping in 0.1 per cent sodium metabisulfite for 5 min) and non-pre-treated slices. The process and quality criteria under consideration included the total drying time, rehydration ratio, colour difference, browning index and specific energy consumption.
In this paper, an integrated blockchain-based energy management platform is proposed that optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism. Physical constraints in the microgrid are respected by formulating an Optimal Power Flow (OPF) problem, which is combined with a bilateral trading mechanism in a single optimization problem. The Alternating Direction Method of Multipliers (ADMM) is used to decompose the problem to enable distributed optimization and a smart contract is used as a virtual aggregator.
Figure showing the spatio-temporal viewpoint of FEW nexus thinking.
This study identifies the key barriers to operationalizing FEW nexus at ground level and underlines the need for urban-rural shared perspectives in resource management.
Activities in the food-energy-water nexus require ecosystem services to maintain productivity and prevent ecological degradation. This work applies techno-ecological synergy concepts in an optimization formulation to design a system for co-producing food and energy under constraints on ecological sustainability. The system includes land use activities and biomass conversion processes for the production of energy carriers, as well as supporting ecosystems that increase the supply of key ecosystem services.
Most conventional scheduling problems use production efficiency, cost and quality as their preeminent optimization objectives. However, because of increasing costs of energy and environmental pollution, “low-carbon scheduling” as a novel scheduling model has received increasing attention from scholars and engineers. This scheduling model focuses on reducing energy consumption and environmental pollution at the workshop level.
Recent research on CO2 capture is focusing on the optimization of CO2 absorption using amines (mainly monoethanolamine-MEA) in order to minimize the energy consumption of this very energy-intensive process and improve the absorption efficiency. Process optimization is always required and this research is worth and necessary. However, the main concern arises when thinking of the overall process: solvent production, solvent use and regeneration, and environmental effects related to its use/emissions.
Capacity planners in developing countries frequently use screening curves and other system-independent metrics such as levelized cost of energy to guide investment decisions. This can lead to spurious conclusions about intermittent power sources such as solar and wind whose value may depend strongly on the characteristics of the system in which they are installed, including the overall generation mix and consumption patterns.