Optimal Planning of Integrated Energy Systems for Offshore Oil Extraction and Processing Platforms

• Main Authors: Anan Zhang, Hong Zhang, Meysam Qadrdan, Wei Yang, Xiaolong Jin, Jianzhong Wu
• Format: Article
• Language: English
• Published: MDPI AG 2019-02-01
• Series: Energies
• Subjects: energy system; production system; uncertainty; generalized energy and material flow model; stochastic multi-objective optimization
• Online Access: https://www.mdpi.com/1996-1073/12/4/756

With the introduction of new technologies, such as waste heat recovery units (WHRU), associated gas utilization, the energy flow coupling relationship is further deepened within the energy system of the offshore oil and gas production platform. Besides, the energy system is closely linked with the oil and gas production system, and a closed-loop relationship between energy flow and material flow can be revealed. Uncertainties of energy supply and production process may lead to system-wide fluctuations, which threaten the stable operation of the platform. Therefore, an optimal planning model of integrated energy system for offshore oil and gas production platform is proposed in this paper. Firstly, a generalized energy and material flow model is proposed, three matrixes are defined based on laws of thermodynamics, including energy matrix, process matrix and feedback matrix. Secondly, the energy-material conversion relationship between the energy system and production system of a typical offshore oil and gas platform is quantitatively described, together with the coupling between the input and output of the two systems. Thirdly, considering the energy-material balance constraints and the uncertainties of production system, a multi-objective stochastic planning model for the offshore integrated energy system is established, which takes economics and environmental protection into consideration. A Monte Carlo simulation-based NSGA-II algorithm is proposed to solve the model. Finally, the validity and feasibility of the proposed methodology are demonstrated through an offshore oil and gas platform in Bohai, China. Compared with the traditional planning method, the total cost and CO₂ emissions of the proposed method are reduced by 18.9% and 17.3%, respectively.