基于人工智能分析模型的小型电厂生物质共烧智能计算

Ruby Pant, Deepak Singh Bisht
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摘要

生物质共烧是燃煤电厂用生物质代替部分燃料的做法。它将有助于减少化石燃料燃烧产生的排放,部分解决印度日益严重的农业废物焚烧问题,减轻废物负担,并在农村地区创造就业机会。联邦电力部最近强制要求该国所有火力发电厂使用5 - 10%的生物燃料共烧。通过这样做,我们每年可以减少3800万吨的二氧化碳排放量。根据电力部关于生物质利用的政策,在7%共烧的情况下,每千兆瓦容量需要大约25- 30万吨生物质颗粒。因此,对于100吉瓦的容量,大约需要2500万至3000万吨生物质颗粒。大型火力发电厂需要的生物质是燃煤发电厂的两倍。基础设施的改变也需要带来和储存如此大量的生物质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Smart Computation of Biomass Co-Firing in Small Scale Power Plants by using Artificial Intelligence based Analysis Model
Biomass co-firing is the practice of replacing part of the fuel with biomass in coal-fired power plants. It will help reduce emissions from burning fossil fuels, partially address India's growing agricultural waste incineration problem, reduce waste burden and create jobs in rural areas. The Union Ministry of Power recently made it mandatory for every thermal power plant in the country to have 5–10 percent bio fuel co-firing. By doing this, we can reduce carbon dioxide emissions by 38 million tonnes per year. According to the Ministry of Power's policy on biomass utilization, approximately 0.25-0.3 million tonnes of biomass pellets are required for each giga watt of capacity at 7% co-firing. Therefore, for 100 GW of capacity, approximately 25–30 million tonnes of biomass pellets are required. Large thermal power plants require twice as much biomass as coal. Infrastructural change is also required to bring and store such large quantities of biomass..
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