Synthesis, design and operation optimization of a combined cycle integrated energy system including optimization of the seasonal speed of a VLCC

Abstract

The study of an integrated energy system is presented in this article that will cover all types of energy loads (mechanical, electrical, thermal) on a Very Large Crude Carrier (VLCC) with the maximum technically possible and economically feasible exploitation of fuel energy, thus reducing the operating cost and environmental footprint of the ship. There may be a large variety of configurations, design specifications and operating states that can cover the loads, making it necessary to apply synthesis, design and operation optimization of the system. The net present value of the system is selected as the objective function. For this purpose, a superconfiguration of the system is considered, which includes a number of Diesel engines adapted for possible operation in a combined Diesel and Rankine cycle, heat recovery steam generators producing high and low pressure steam, steam turbines that can contribute to propulsion and/or to the electricity production, an exhaust gas boiler and auxiliary boilers, as well as Diesel-generator sets. The synthesis of the system, that is, the components that will finally exist in the system, and their interconnections, the design specification of the components and the operating properties at characteristic operating states of the ship are not predetermined, but they are the result of formal, mathematical optimization. In addition, the speed of the vessel in each state, an important operational variable that has a crucial effect on the propulsion power and thus on the fuel consumption, is also determined by the optimization. The hull characteristics, the loading condition and the weather state are taken into account for the calculation of the propulsion power. For the optimization, proper models of the various components have been developed and the optimization problem is solved by addressing the three levels (synthesis, design, and operation) at a single computational step. The benefits of optimization, as well as the conditions that make the combined cycle economically justified, are demonstrated through an application example. The numerical solution is obtained for various values of fuel price and freight rate, so that the effects of these two crucial parameters on the optimal solution are assessed.

A Low Carbon Economic Optimal Dispatching Model for Comprehensive Energy System Based on Improved Whale Algorithm, 1-12.

“…Sakalis et al proposed and designed an IES that covers all energy types on large crude oil transport ships to reduce the operating costs and environmental footprint of large crude oil transport ships. The model utilises net present value as the objective function, which enables the recovery of both high-pressure and lowpressure hot steam leading to an effective promotion of steam turbine, exhaust gas boiler, and auxiliary boiler [4]. To meet the diverse energy needs of customers, Yuan et al upgraded their energy structure using the multi energy coupling utilisation platform provided by IES and proposed a multi-criteria decision-making way on the basis of IES.…”

“…While the electricity price efficiency is high, the cooling load can be output. As expressed in (4).…”

A Contribution to the Discussion on the Future of Thermoeconomis

“…Of course, higher computer capabilities are required for such an approach. Further developments appear in [60][61] with the introduction of dynamic and intertemporal optimization in the SDO optimization. Dynamic and intertemporal optimization describes situations where subsequent decisions are affected by decisions taken earlier in the time horizon of the optimization problem.…”