Leveraging Bioinformatics for Cost Management in Biomass Power Generation: Strategies for Commercial Biotechnology Enterprises

Abstract

This paper investigates the application of bioinformatics in the biomass power generation sector, focusing on its impact on cost assessment and control within the industry. Initially, an overview of the current status and industrial chain of biomass power generation enterprises is provided, with a detailed exploration of the cost components and characteristics unique to this new energy sector. Emphasizing straw power generation, the study examines three methods of power generation, identifies major cost factors, and assesses the influence of government compensation policies. A comprehensive evaluation and analysis of the costs associated with biomass power generation enterprises are conducted, highlighting how bioinformatics can optimize financial efficiency in light of subsidy impacts. The findings reveal that the cost for straw direct combustion power generation averages at 0.52 Yuan/kWh, with government subsidies reducing the net cost to producers by 0.13 Yuan/kWh, thereby enhancing economic viability. Cost comparisons among different generation methods— direct combustion, mixed combustion, and gasification—are also detailed, demonstrating the potential of bioinformatics to refine cost control strategies and facilitate more sustainable economic models in biomass power generation. These insights provide a foundation for developing advanced bioinformatic tools and strategies that not only reduce operational costs but also promote profitability and sustainability in the biotechnological approach to new energy production.