清洁能源智能调度

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算法赋能智能化供电服务 破解植物工厂能源高耗与精准调控难题
Zhong Guo Neng Yuan Wang· 2025-06-24 09:19
Core Viewpoint - The "Smart Electric Photosynthesis" project integrates clean energy management, precision agriculture, and advanced planting technologies to create a new production model for agriculture, addressing high energy consumption issues in traditional farming [2][3][4]. Group 1: Innovation in Agriculture - The "Smart Electric Photosynthesis" solution leverages three main innovations: intelligent clean energy scheduling, lean production process management, and innovative planting techniques, representing a systemic reconstruction of agricultural production methods [3]. - The project aims to create a thinking energy system that goes beyond simple energy replacement, utilizing a self-developed smart energy regulation platform for dynamic monitoring and optimization [3][4]. Group 2: Energy Efficiency and Sustainability - The system achieves a 98% clean energy replacement rate, significantly reducing carbon emissions and energy costs for plant factories [4]. - The integration of AI algorithms and quantum encryption technology allows for real-time optimization of energy allocation based on environmental variables, enhancing energy efficiency [4]. Group 3: Technological Advancements - The smart production platform functions as a digital agronomist, utilizing a billion-parameter AI model to create a digital twin of crop growth, achieving a precision control error of just 0.5% [9]. - The innovative vertical planting system and full-spectrum lighting technology improve light utilization efficiency to 1.2 times the industry standard, while nutrient recycling achieves a 90% utilization rate [11]. Group 4: Economic Impact - The transformation of plant factories has led to a 25% reduction in electricity costs and a 50% decrease in labor costs, significantly enhancing economic benefits for local farmers [14]. - The model demonstrates strong replicability across various agricultural sectors, with potential annual savings of 50 million kilowatt-hours and a reduction of 47,000 tons in carbon emissions [17].