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广联达副总裁吉雅图:一体化数智平台+AI场景化赋能,破解新能源工程“增量不增利”困局
Core Insights - The forum focused on the integration of digital technology and new power systems to explore pathways for green energy development, contributing to carbon neutrality goals and high-quality energy development [1] - The shift from "scale expansion" to "value creation" is driven by an integrated digital platform and AI applications in the energy sector [1][3] Industry Challenges - The electricity sector faces dual pressures of "revenue uncertainty" and "cost control," exacerbated by market price fluctuations and operational complexities [3] - Key pain points include revenue volatility, grid connection limitations, accelerated technology iterations, and construction quality risks, leading to a situation where "incremental growth does not equate to increased profits" [3] Opportunities in the Energy Sector - The trend of "AI + Energy" signifies a transition towards data-driven, scenario-enabled, and intelligent decision-making processes in the renewable energy industry [3] - Digital construction must focus on profitability and project viability, aiming to reduce construction and operational costs per unit of electricity generated [3] AI and Digital Integration - The company is leveraging AI and digital technologies to enhance investment returns, optimize construction costs, and improve operational efficiency across various projects [5][6][7] - The integration of design, procurement, and construction processes aims to address industry inefficiencies and improve resource management [6][7] Practical Applications of AI - AI and simulation technologies are being used to reconstruct investment return models, significantly reducing design cycles and enhancing investment returns [5] - Cost savings have been achieved in construction through intelligent design optimizations, with specific projects reporting up to 10% savings on cable costs [5] Integrated Platform Development - The company is developing an integrated digital platform that supports high-quality construction and profitability in renewable energy projects [4][9] - The platform aims to create a closed data loop across design, construction, and operation, enabling AI to add value in new energy market scenarios [9] Future Directions - The company emphasizes the importance of focusing on business value rather than mere technological discussions, advocating for a clear path towards integrating high-quality data and AI to address core industry challenges [9]