Analysis of biomass polygeneration integrated energy system based on a mixed-integer nonlinear programming optimization method

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

“…The optimization configuration of the CCHP system is commonly a complicated multidimensional optimization issue with a variety of objective functions and non-negligible constraints. Although the optimization methods for energy systems configuration are many and generally be divided into two categories: (1) metaheuristics, such as particle swarm optimization algorithm [17,18], moth-flame optimization algorithm [19], tunicate swarm algorithm [20] and genetic algorithm [21][22][23][24][25]; and (2) mathematical planning, including linear planning [26,27], nonlinear planning [28,29], and dynamic planning [30,31]. Compared with mathematical planning, metaheuristics can obtain the optimal solution quickly even if the optimal problem is complex.…”

Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design

“…Noorollahi et al [15] investigated the introduction of electric vehicles as the energy storage for optimal design of energy systems in an industrial zone. Wu et al [16] proposed a biomass polygeneration integrated energy system optimisation model and investigated the feasibility to various case regions, where the vital factor of the split ratios was further evaluated.…”

An Optimization Ensemble for Integrated Energy System Configuration Strategy Incorporating Demand–Supply Coordination

“…In application scenarios, the objective functions might be single or multiple, and the constraints can also be linear or nonlinear. Ergo, these tools for the IES optimization include linear programming (LP) [4], mixed-integer linear programming (MILP) [5], and mixed-integer nonlinear programming (MINLP) [6]. The mathematical programming approaches can generate precise outputs, whereas their efficiency and performance might be impacted since the diversities and complexities grow dramatically in an IES compared with a power grid.…”