A Solution for Power Crisis and Environment Pollution from Electricity Generation - A Study of Sub-tropical Regions

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2021-01-02 DOI:10.1080/23080477.2021.1879430

Amit Rai, A. Shrivastava, K. Jana

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引用次数: 3

Abstract

ABSTRACT Air pollution is a primary environmental concern worldwide. The major sources of this pollution are the manufacturing industry, vehicles, diesel generators, and thermal power plants. For limiting this pollution, the resolution is adopted in Paris Climate Agreement to reduce the power dependency on thermal power plants. This work aims to find a solution for phasing out the thermal plant with solar plants for sub-tropical regions of the world. Moreover, the effect of the Air Pollution Index (API) on solar radiation is also predicted with time-series neural network. As a case study, to replace thermal power plant in sub-tropic regions, four metropolitan cities of India are selected. The performance ratio and energy yield of the proposed solar power plants have an average of 76.05% and 1,167,447 MWh/year values, respectively, which shows that the proposed power plants are a viable solution to address the aforementioned problem. The potential of the proposed power plant for pollution reduction is also quantified and discussed in detail, and the effect of PM2.5 on solar generation is also reported.

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电力危机与发电环境污染的解决方案——以亚热带地区为例

摘要空气污染是全世界关注的主要环境问题。这种污染的主要来源是制造业、汽车、柴油发电机和火力发电厂。为了限制这种污染，《巴黎气候协定》通过了该决议，以减少对火力发电厂的电力依赖。这项工作旨在为世界亚热带地区逐步淘汰热电厂和太阳能发电厂找到解决方案。此外，还利用时间序列神经网络预测了API空气污染指数对太阳辐射的影响。作为一个案例研究，选择了印度的四个大都市来取代亚热带地区的火力发电厂。所提出的太阳能发电厂的性能比和发电量平均分别为76.05%和1167447MWh/年，这表明所提出的发电厂是解决上述问题的可行解决方案。还对拟建发电厂减少污染的潜力进行了量化和详细讨论，并报告了PM2.5对太阳能发电的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Smart Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials