Investigation into the Development of Waste to Energy as an Alternative Energy Source

IF 3.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2023-06-30 DOI:10.57041/jaic.v1i1.889
Shanza Khan, Aimen Haroon, Nageen Majeed
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Abstract

Pakistan, a developing nation, is facing a critical crisis regarding its fossil fuel resources and the production of electrical energy. The country's electricity demand has reached approximately 29,000 MW, while the generation capacity is only 22,000 MW. This significant gap between generation and demand has led to load-shedding. To address this issue, we are considering the development of waste-to-energy plants, which are waste management facilities that utilize combustion to generate electricity. Instead of relying on traditional fossil fuels like coal, oil, or natural gas, waste-to-energy plants use trash as a fuel source. By burning this fuel, heat is produced, which heats water to generate steam that drives a turbine, ultimately creating electricity. While waste-to-energy is often portrayed as a viable method for extracting energy from available resources, it does pose challenges to the circular economy. This approach generates toxic waste, contributes to air pollution, and exacerbates climate change. These plants emit chemicals such as mercury and dioxins, which pose risks to human and environmental health. To address these concerns, we aim to investigate the development of waste-to-energy as an alternative energy source while prioritizing creating a healthy environment. As part of this effort, we intend to implement a sensor network to detect the heat generated during incineration and monitor the emission of pollutants. Our overarching goal is to generate electricity while recycling waste materials as much as possible, thus promoting a sustainable and eco-friendly approach.
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废物转化为能源作为替代能源的发展研究
巴基斯坦是一个发展中国家,在化石燃料资源和电力生产方面正面临着严重的危机。该国的电力需求已达到约29,000兆瓦,而发电能力仅为22,000兆瓦。发电和需求之间的巨大差距导致了电力负荷的减少。为了解决这个问题,我们正在考虑开发废物发电厂,这是一种利用燃烧发电的废物管理设施。垃圾发电工厂使用垃圾作为燃料来源,而不是依赖传统的化石燃料,如煤、石油或天然气。通过燃烧这种燃料,产生热量,热量加热水产生蒸汽,蒸汽驱动涡轮机,最终产生电力。虽然废物发电通常被描述为从现有资源中提取能源的可行方法,但它确实对循环经济构成了挑战。这种方法产生有毒废物,造成空气污染,并加剧气候变化。这些工厂排放出汞和二恶英等化学物质,对人类和环境健康构成威胁。为了解决这些问题,我们的目标是研究将废物转化为能源作为替代能源的发展,同时优先考虑创造一个健康的环境。作为这项工作的一部分,我们打算实施一个传感器网络,以检测焚烧过程中产生的热量,并监测污染物的排放。我们的首要目标是在发电的同时尽可能地回收废物,从而促进可持续和环保的方法。
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来源期刊
Journal of Artificial Intelligence and Soft Computing Research
Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
7.00
自引率
25.00%
发文量
10
审稿时长
24 weeks
期刊介绍: Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
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