ENERGY EFFICIENCY OF SOLAR POWER GENERATION PLANTS: A DEA-OLS BASED STUDY OF ‘SAI MITRA’

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The paper studies energy efficiency of solar power generation plants using a two-stage DEA-OLS framework, analyzing performance data from “Sai Mitra,” a multi-capacity solar power system in India. The authors report that efficiency assessment should rely on a holistic management approach using key ratios that jointly incorporate desirable and non-desirable performance parameters. A major caveat is that the work is presented as a Research Square preprint and explicitly notes it has not been peer reviewed. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract The demand for renewable energy sources has grown significantly due to the increasing environmental damage caused by pollution and high carbon emissions by traditional sources of energy. Energy efficiency plays a crucial role in solar power generation, a highly effective form of renewable energy. This paper aims to explore energy efficiency in solar power generation plants through a two-stage DEA-OLS approach using data from Sai Mitra, a multi-capacity solar power generation system in India. The findings of the study underscore the significance of adopting a holistic management approach for solar power plants, utilizing key ratios that combine desirable and non-desirable performance parameters.
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ENERGY EFFICIENCY OF SOLAR POWER GENERATION PLANTS: A DEA-OLS BASED STUDY OF ‘SAI MITRA’ | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article ENERGY EFFICIENCY OF SOLAR POWER GENERATION PLANTS: A DEA-OLS BASED STUDY OF ‘SAI MITRA’ Rameswar Prusty, Prof N. Sivakumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5749753/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The demand for renewable energy sources has grown significantly due to the increasing environmental damage caused by pollution and high carbon emissions by traditional sources of energy. Energy efficiency plays a crucial role in solar power generation, a highly effective form of renewable energy. This paper aims to explore energy efficiency in solar power generation plants through a two-stage DEA-OLS approach using data from Sai Mitra, a multi-capacity solar power generation system in India. The findings of the study underscore the significance of adopting a holistic management approach for solar power plants, utilizing key ratios that combine desirable and non-desirable performance parameters. Energy efficiency Sai Mitra DEA-OLS solar energy management Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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