Renewable Energy for Sustainable Growth Assessment. Группа авторов
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Название: Renewable Energy for Sustainable Growth Assessment

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Физика

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isbn: 9781119785446

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СКАЧАТЬ Jawaharlal Nehru national solar mission MCDM Multicriteria decision making MCS Monte Carlo simulation MW Megawatt NIWE National institute of wind energy PROMETHEE Preference ranking organization method for enrichment evaluation PV Solar photovoltaic RE Renewable energy TOPSIS Technique for order of preference by similarity to ideal solution WSM Weighted sum method

      Fossil fuels-based generation contributes the maximum towards electricity generation in most parts of the world [1]. The increased use of energy from fossil fuels is the major cause of the environmental problem which the world is facing today. To improve the environmental conditions along with economic and social development, both developed and developing countries have already initiated the adoption of suitable energy systems to achieve sustainable development. Development is not possible without energy and sustainable development is not possible without sustainable energy. Thus, it becomes important that the sustainable energy system should be efficient and at the same time limit emissions.

      Global warming as a result of increased greenhouse gas (GHG) emissions from fossil fuel-based generation has led the world to gradually switch to renewable energy (RE) based generation. RE sources e.g., wind, solar, hydropower, ocean, geothermal, biomass, etc., have been recognized as a key player in reducing GHG emissions and a path towards a sustainable future [2]. Today one of the most important goals towards achieving sustainability is the transformation to an RE-based economy [3]. However, there are various factors that help to attain sustainable development. For example, the energy sources should be readily available in the long term, should be efficient, and should not cause any form of social impacts while they are being utilized [2].

      India along with many other countries has already taken many initiatives to develop and promote RE-based generation [4]. The regular increasing energy demand in India is met by both commercial and RE sources. In India, the RE supports the government in meeting the country’s three important energy policy objectives, i.e., energy access, energy security, and climate change mitigation, along with reducing dependency on the importing of fossil fuels [5, 6].

      Sustainability assessment of RE technologies at a national scale involves a range of conflicting technological, economic, environmental, and economic indicators. Multicriteria decision-making (MCDM) methods are the best tool that can address these conflicts and choose the most suitable alternative from the pool of many alternatives. In the present study, the indicators such as response to peak demand, social acceptability, environmental risks, and social risks are accessed qualitatively. These qualitative data are generally associated with uncertainties and a fuzzy approach is the best to address these uncertainties. Further, it has been reviewed that sustainability indicators’ values vary widely for each RE technology and there is a great possibility of uncertainties for all input values.

      As far as the sustainability assessment of RE technologies in the context of India is considered there are limited studies done [13, 14]. However, neither of these studies have addressed any form of uncertainties associated with input data. Thus, this study aims to address these uncertainties of input data in two ways. Firstly, the RE technologies in the context of India were assessed and ranked using fuzzy-TOPSIS (a technique for order of preference by similarity to ideal solution) to address the uncertainties associated with qualitative data. Secondly, to deal with the uncertainties link with a wide range in input values, the TOPSIS method is run using Monte Carlo simulation (MCS) and probabilistic ranking is obtained. Further, both the fuzzy-TOPSIS and probabilistic ranking are compared with that obtained from the TOPSIS method and the impact of these uncertainties is studied on the overall ranking of RE technologies.

Schematic illustration of a pie chart showing the electricity generation scenario in India as on 31/01/2021.

      2.2.1 Large Hydropower

      Hydropower is an important RE resource in India for electricity generation. The potential of hydropower in India is immense and the country is ranked 6th in the world for hydropower installed capacity [1]. In India, only about 30% of the vast hydropower potential of 150 GW has been tapped so far. Hydropower projects require long planning and land acquisition procedure. In addition to this, due to the resettlement process, lack of transmission infrastructure, inadequate market scope, and long-term financing process, many hydropower projects in India are in a slow pace of development and suffering from schedule overrun. To fast track the hydropower projects, especially the 50 GW hydroelectric initiative, the central electricity authority (CEA), and the Power Ministry are closely monitoring these priority schemes [19].

      To promote a large hydropower sector, the government of India has declared large hydropower projects under the renewable category in March 2019, and since then, large hydropower has accounted for the RE target. To assist the power sale from large hydropower projects, the Ministry of Power has issued a memorandum to notify Hydropower Purchase Obligation (HPO) [20]. The HPO covers all the large hydropower projects commissioned after the issue of this memorandum.

      2.2.2 СКАЧАТЬ