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RISS 인기검색어
- 검색키워드
- 저자 : Jean Chrysostome Biong Mayoko (검색결과 1 건)
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Jean Chrysostome Biong Mayoko 한동대학교 국제개발협력대학원 2023 국내석사
Electricity is a critical resource in the daily life of a population, industry, business, or any type of organization since it enables the investments, innovations, and new sectors that drive job creation, inclusive growth, and shared prosperity across entire economies (World Bank, 2022). There is no development without electricity because many sectors of life deal with it. Congo, the Democratic Republic of, is one of the largest Countries around the world, second in Africa, and in addition, the richest country in terms of natural resources with a population estimated at around 90 to 100 million inhabitants. However, it is among of low electrification rates country in the world less than 20% of the Congolese population has access to electricity. In the same line of thought, every day, DR Congo produces a huge quantity of solid waste generated in the country without a suitable management system. It is widely accepted that the primary causes of waste generation are urbanization, economic growth, and population growth. Kinshasa metropolises city produces around 11900 tons of MSW per day. Taking out all kind of waste could not be used for energy production, the estimated amount of waste is around 451.21 tons from 24 of municipalities, with production average of 208.41 tons each township. This situation raises concerns about the long-term management of waste capacity. Besides this, the absence of an effective management system results in flooding, air pollution emissions from household waste burning, and an increase in the number of mosquitos, causing public health concerns. Furthermore, Solid waste could be used as a source of energy and that power generation from waste can play an important role in reducing the impacts of municipal solid waste (MSW) on the ecosystem. In addition, various methods currently accomplish waste management including incineration, landfills, biochemical conversion, and others. However, among of these processes, some are not environmentally friendly because waste reduction efficiency is low and causes health risks. Under this situation, appropriate and sustainable environment waste-to-energy conversion technologies are critical for attempting to address the massive amount of Solid waste produced and energy trustworthiness sustainable and responsible, resulting in the transformation of a habitable environment. The objective of this research focused on a suitable electricity production source while automatically ensuring energy balance between production source and distribution throughout a smart grid on one hand and providing a new way or technique to overcome the shortcomings of current solid waste treatment methods to solve environmental pollution and its consequences on man in another hand. Thereby, the study examined the feasibility of the implementation of hybrid plasma technology through a gasification process as a suitable or eco-friendly waste-to-energy technology in the city of Kinshasa. The physical composition analysis in Kinshasa city was conducted and findings show that the city has the diverse type of waste depending on the season. In accordance with the findings, Aspen plus software was able to produce Syngas from the simulation and the result show Mass fraction of H2, N2, H2O, CO, CO2, CH4 with a mass density of 0.37 kg/cum. Thereby, the expectation capacity to install from this pilot project is about 11.82 MW/h PE-IGCC power plant. In addition, from this capacity of energy produced using plasma gasification, Machine learning model, especially LSTM RNNs and Simple RNN for automatically learning features from sequence data which support multiple-variate data for multi-step forecasting provided a best automatic control system for energy forecast between a residential and industrial area based on data from Kaggle considering day and nighttime. The result of the ML model shows a best performance of learning with 96% of accuracy. Based on findings, the microwave hybrid plasma technology and AI techniques proposed in this research handle both crises efficiently, including environmental pollution, waste disposal issues, and power reliability.
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