LCoE (Levelized Cost of Electricity) is a common metric used to measure per unit electricity costs. It is calculated by dividing the full life cycle power generation cost by the full life cycle power generation.
Goldwind adopts an LCoE-based economic analysis model. The model is used to increase power generation, decrease investment costs, reduce O&M costs, and comprehensively optimize per unit electricity costs based on the specific conditions of a customer's project. This allows us to show the customer investment cost and profit projections for the entire project life cycle.
The offshore wind farm wind resource assessment service accurately identifies the characteristics of offshore wind resources, specifically analyzes the risks of tropical cyclones to avoid typhoon risks, and corrects data on monitoring station wind speed and direction by accounting for monitoring station locations, anemometer height, and atmospheric stability. Then, based on the selected turbine model, this service looks at the distribution of wind energy to choose optimal turbine locations, so as to reduce wake effects. By fully considering the effects of surrounding wind farms and terrain, it reduces the impact of turbulence in the field to reduce the fatigue load on turbines and extend the service lives of their parts. At the same time, this service considers the distribution of water depths and geological structures to design a reasonable layout that reduces the occupied sea area and the cost of power line and foundation construction within the farm. As a result, this service reduces construction and O&M costs, while increasing project revenue.
The integrated support structure design concept standardizes the work processes and documents of machine manufacturers and design companies. Goldwind has established a professional offshore construction team, which creates integrated models of the turbine, tower, and base to calculate the unit's load and provide the conditions for seamless strength testing. This allows reiterated support structure optimization and breaks out of the conservative designs produced by traditional methods. Using an integrated design solution reduces the engineering workload by 10%-15% compared to traditional design methods.
Goldwind offshore turbines, nacelles and towers have a completely sealed design. The nacelles and towers have independent environmental control systems, including independent and redundant cooling systems, dehumidification/heating systems, and salt spray protection systems. This ensures a safe and stable turbine operation environment. Goldwind turbine environmental control system covers the entire product life cycle from production to transport, and from wharf storage to erection, and throughout operations.
The Goldwind University Training Center has established an ocean survival training platform and turbine technical training platform based on the Global Wind Organization's Basic Safety Training Standard (GWO-BST) and Basic Technical Training Standard (GWO-BTT). We have established an international and integrated training platform that suits the actual offshore power conditions in China to increase the safety awareness and practical skills of offshore wind power personnel. Through these efforts, we aim to cultivate a professional team with diverse talents to ensure the continuous development of offshore wind power.
The harsh conditions that affect many offshore wind power projects mean that there are a few windows for actual construction operations, high work costs, many unpredictable factors, and high risks. By fully analyzing meteorological data in advance, we can cooperate with project owners to develop scientific construction plans and match them with optimal supply plans to ensure smooth on-site construction. By comprehensively monitoring logistics and transportation, we ensure the safe and on-time delivery of parts. At the same time, our efficient on-site hoisting processes and big data IoT technology allow us to make continuous improvements, to provide customers with the best possible delivery experience for their customized and integrated offshore wind power projects.
We create documentation to manage information throughout the life cycle of each wind turbine-from parts manufacturing and assembly, to on-site installation and operations. Based on parts operations data, we establish turbine key part fault models to transit from after-the-fact maintenance to preventative maintenance. We use machine learning, neural networks, and other methods to compare real-time operational data with design data for each part. This allows self-diagnosis of part faults and lets us determine when offshore maintenance is required. This results in significantly lower offshore O&M costs.
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