系统仿真工程师

Wison Engineering Ltd., headquartered in Shanghai and listed on the Hong Kong Stock Exchange (stock code: 02236.HK), is a leading provider of chemical engineering, procurement, and construction management (EPC) services in China.

Specializing in petrochemical, coal-to-chemical, and oil refining industries, Wison delivers comprehensive project lifecycle services, including planning, consultation, engineering design, procurement, and operational support.

By leveraging global supplier networks and integrated fabrication solutions from its parent company, Wison offers cost-effective and sustainable project execution.

With a focus on innovation and environmental sustainability, Wison aspires to be a world-class provider of energy and chemical services while expanding into renewable energy and natural gas solutions.

1. Conduct research on capacity configuration optimization for wind-solar-hydrogen-ammonia/alcohol hybrid energy systems to achieve synergistic optimization of capacity planning and operation strategies; solve system nonlinear programming optimization problems based on methods such as Lagrangian relaxation and distributed optimization;

2. Construct a day-ahead to intra-day coordinated dispatch optimization model for wind-solar-hydrogen-ammonia/alcohol hybrid energy systems, integrating top-level dispatch with power grid transient stability control, and design an energy management strategy framework for new energy systems under both grid-connected and off-grid scenarios;

3. Develop cooperative control strategies for hydrogen production clusters to achieve dynamic load allocation and efficient coordinated operation of electrolyzer arrays exceeding 40MW, thereby improving overall system efficiency and extending equipment lifespan; optimize the operation mode of hydrogen production clusters by incorporating signals such as real-time meteorological forecasts, time-of-use electricity prices, and grid interaction requirements to ensure stable operation under grid-connected conditions;

4. Build a full-process dynamic simulation platform for wind-solar-hydrogen-ammonia/alcohol hybrid energy systems, integrating advanced algorithms such as Model Predictive Control (MPC) and Mixed-Integer Linear Programming (MILP) to achieve multi-time scale coordinated optimization; verify the response accuracy and real-time performance of dispatch and hydrogen production cluster control strategies, enhance system stability and resilience during grid-connected/off-grid mode switching, and provide technical support for efficient, safe, and low-carbon system operation.

5. Based on the technical requirements of large-scale fully off-grid projects and combined with the company's capabilities, carry out external technical cooperation or "software-hardware" joint development in the field of power electronics targeting system AC/DC conversion and the rotational inertia requirements of chemical units.

1.

Master's degree or above in Chemical Engineering, Process Systems Engineering, Energy and Power Engineering, Energy Engineering and Automation, or related majors; PhD with experience in electrolytic hydrogen production systems, chemical process optimization, or hybrid energy system research/projects is preferred;

2. Deep understanding of the process flows and principles of hydrogen production, methanol synthesis, and ammonia synthesis; proficient in system capacity planning theories and methods, including intelligent optimization algorithms, linear/nonlinear programming, etc.; familiar with the impact of key constraints such as energy supply stability and equipment performance on system capacity;

3.

Proficient in using system simulation and capacity calculation software such as HOMERPro and MATLAB, capable of independently completing modeling, simulation calculation, and analysis of hybrid energy systems;

4.

Solid programming foundation, proficient in MATLAB/Python; experience in new energy hydrogen production, chemical automation, or Energy Management System (EMS) development/project implementation is preferred;

5.

Familiar with chemical process simulation tools; proficiency in Aspen Plus, Aspen Dynamics, Aspen HYSYS, or other process simulation software is preferred;

6.

Possess certain organizational skills and experience, capable of leading a small team to complete project tasks.

岗位职责：

1、开展风光氢氨 / 醇多能源系统容量配置优化研究，实现容量规划与运行策略协同优化；基于拉格朗日松弛、分布式优化等方法，求解系统非线性规划优化问题；

2、构建风光氢氨 / 醇多能源系统日前 — 日内协同调度优化模型，融合顶层调度与电网暂态稳定控制，设计并网 / 离网双场景下的新能源系统能量管理策略架构；

3、研发制氢集群协同控制策略，实现40MW以上电解槽阵列负荷动态分配与高效协同运行，提升系统整体效率并延长设备寿命；结合实时气象预测、分时电价、与电网互动要求等信号，优化制氢集群运行模式，保障并网工况下稳定运行；

4、搭建风光氢氨 / 醇多能源系统全流程动态仿真平台，集成 MPC 模型预测控制、MILP 混合整数线性规划等先进算法，实现多时间尺度协调优化；验证调度策略与制氢集群控制策略的响应精度与实时性，提升系统并网 / 离网模式切换稳定性与韧性，为系统高效、安全、低碳运行提供技术支撑。

任职要求：

2、深入理解制氢、甲醇合成、氨合成工艺流程与原理，熟练掌握系统容量规划理论与方法，包括智能优化算法、线性 / 非线性规划等；熟悉能源供应稳定性、设备性能等关键约束对系统容量的影响；