Offshore platforms have had diverse applications in the marine industry, for example, oil or gas platforms can provide facilities to store the oil and gas before transport those to refineries. Offshore wind turbines are another well-known use of the offshore platform for generating power. As platforms encounter various strong forces from water and wind currents, the materials used for these structures are mainly steel or concrete. These platforms are classified into different types, according to the depth of water and their applications. In addition, offshore platforms, as artificial reefs may be used for decades at different marine conditions. Consequently, their design and maintenance are very important, otherwise, they can cause irreparable damage to the environment. This paper presents the latest and most significant design and monitoring methods, such as the optimal probabilistic seismic demand model, multi-objective optimization, dynamic response assessment, robust fault-tolerant control, etc., under different environmental and geographical conditions. Moreover, the effective factors on the life and failure of these offshore structures are comprehensively introduced to enhance awareness of them, which can be very helpful to improve the design and construction of more reliable and durable structures.

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Herein, optimal configuration and microgrid's energy control based on day-ahead planning is proposed. For this purpose, fossil fuel resources are equipped with carbon capture utilization and storage (CCUS) technologies, and INVELOX turbines are proposed in microgrid's planning. The microgrid's overall contamination and cost are considered as objective functions. To encourage the consumers to utilize renewable resources, obtained profit from CCUS is assigned as incentive programs for buying their extra energy. Also, the problem is modeled as a mixed-integer linear programming (MILP), and the epsilon constraint and fuzzy satisfying approach are utilized to tackle and accomplish the best and optimal solution. The outcomes show that overall costs and contamination are

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This paper provides innovation in wind turbine (WT) technology and its advantages in microgrid planning. The microgrid in this work includes various renewable and nonrenewable resources. The proposed low‐carbon strategy is implemented via two scenarios. In the first scenario, the uncertainty of selling and buying real‐time energy prices is investigated with and without the standard and portable (increased velocity) INVELOX turbines. In the second scenario, the authors study the operation of the microgrid assuming the buying price is higher or lower than the selling price for all time intervals, as well as the first scenario assumption. This article considers the total cost of microgrids and environmental pollution as objective functions. Finally, the environmental‐economic stochastic low‐carbon strategy is modeled via mixed‐integer linear programming; solving the problem using epsilon constraints and a fuzzy satisfying approach to select the best solution, respectively. By considering INVELOX WTs and portable INVELOX WTs, the cost reduction of the microgrid in the first and second scenarios is approximately 25%, and 64% higher than the conventional WTs, respectively. Additionally, a low‐carbon model is proposed by considering INVELOX and its efficiency is successfully shown. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd.

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