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Amit Atri
Manav Rachna International Institute of Research and Studies, Vaish College of Engineering
Research areas: Energy · Energy Engineering and Power Technology · Anaerobic Digestion and Biogas Production · Hybrid Renewable Energy Systems · Municipal Solid Waste Management
Employment
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Manav Rachna International Institute of Research and Studies Assistant Professor2012 - Present
Education
- 2019 - 2024
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Vaish College of Engineering Bachelors of Engineering2003 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Economic analysis of rooftop solar PV installation for obtaining clean energy in Delhi Save
- Development of Food Redistribution Platform Using Supabase and PostgreSQL Save
- Solar and Biomass Based Hybrid Power System for Institutions in Delhi-NCR Save
- Artificial Intelligence–Based Architecture for Smart Operation of a Medium Capacity Sewage Treatment Plant Save
- Municipal Solid Waste as a Resource for Generating Electricity: A Case Study of Harare Save
- A Techno Economic Analysis of Power Generation System in Public Park Save
- A Case Study of Solar Photovoltaic and Biomass-Based Hybrid Power System in Educational Institutes in Delhi-NCR Save
- Power Generation from Food and Garden Waste in Educational Institute Save
- Biogas Generation from Animal Waste: A Case Study of Village Wazirpur Save
- Solar Photovoltaic Installation in Eight Educational Institutions in District Faridabad: A Case Study Save
- Intelligent Power Generation from Anaerobic Digestion of Municipal Solid Waste: A Case Study of Faridabad, India Save
- A Review of Water Electrolysis, Fuel Cells and Its Use in Energy Storage Save
- Power Generation Using Municipal Solid Waste: A Review Save
- Proposed Solar PV System in Educational Campus in Faridabad, India Save
- 19 MWp Solar PV Plant Installation in Educational Institute in Delhi-NCR: A case study Save
- A Case Study for Analyzing the Power Generation from Wastes Save
- A Review of Load Frequency Control of Hybrid Power System Save
- Speed control of DC motor using neural network configuration Save