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Reducing Electrical Consumption in Stationary Long-Haul Trucks
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作者 Kajal Sheth dhvanil patel Gautam Swami 《Open Journal of Energy Efficiency》 2024年第3期88-99,共12页
On average, long-haul trucks in the U.S. use approximately 667 million gallons of fuel each year just for idling. This idling primarily facilitates climate control operations during driver rest periods. To mitigate th... On average, long-haul trucks in the U.S. use approximately 667 million gallons of fuel each year just for idling. This idling primarily facilitates climate control operations during driver rest periods. To mitigate this, our study explored ways to diminish the electrical consumption of climate control systems in class 8 trucks through innovative load reduction technologies. We utilized the CoolCalc software, developed by the National Renewable Energy Laboratory (NREL), which integrates heat transfer principles with extensive weather data from across the U.S. to mimic the environmental conditions trucks face year-round. The analysis of the CoolCalc simulations was performed using MATLAB. We assessed the impact of various technologies, including white paint, advanced curtains, and Thinsulate insulation on reducing electrical demand compared to standard conditions. Our findings indicate that trucks operating in the eastern U.S. could see electrical load reductions of up to 40%, while those in the western regions could achieve reductions as high as 55%. Such significant decreases in energy consumption mean that a 10 kWh battery system could sufficiently manage the HVAC needs of these trucks throughout the year without idling. Given that many long-haul trucks are equipped with battery systems of around 800 Ah (9.6 kWh), implementing these advanced technologies could substantially curtail the necessity for idling to power air conditioning systems. 展开更多
关键词 Long-Haul Trucks Electricity Consumption Idling Reduction HVAC Systems Climate Control Energy Efficiency
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Strategic Placement of Charging Stations for Enhanced Electric Vehicle Adoption in San Diego, California
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作者 Kajal Sheth dhvanil patel 《Journal of Transportation Technologies》 2024年第1期64-81,共18页
California mandated that 100% of vehicles sold must be electric by 2035. As electric vehicles (EVs) reach a higher penetration of the car sector, cities will need to provide publicly accessible charging stations to me... California mandated that 100% of vehicles sold must be electric by 2035. As electric vehicles (EVs) reach a higher penetration of the car sector, cities will need to provide publicly accessible charging stations to meet the charging demand of people who do not have access to a private charging spot like a personal garage. We have chosen to limit our scope to San Diego County due to its non-trivial size, well-defined shape, and dependence on personal vehicles;this project models 100% of current vehicles as electric, roughly 2.5 million. By planning for the future, our model becomes more useful as well as more equitable. We anticipate that our model will find locations that can service multiple population centers, while also maximizing distance to other stations. Sensitivity analysis and testing of our algorithms are conducted for Coronado Island, an island with 24,697 residents. Our formulation is then scaled to set the parameters for the whole county. 展开更多
关键词 Electric Vehicles Charging Stations Energy Policy Infrastructure Planning Environmental Sustainability
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PV Capacity Evaluation Using ASTM E2848: Techniques for Accuracy and Reliability in Bifacial Systems
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作者 Gautam Swami Kajal Sheth dhvanil patel 《Smart Grid and Renewable Energy》 2024年第9期201-216,共16页
A variety of test methodologies are commonly used to assess if a photovoltaic system can perform in line with expectations generated by a computer simulation. One of the commonly used methodologies across the PV indus... A variety of test methodologies are commonly used to assess if a photovoltaic system can perform in line with expectations generated by a computer simulation. One of the commonly used methodologies across the PV industry is an ASTM E2848. ASTM E2848-13, 2023 test method provides measurement and analysis procedures for determining the capacity of a specific photovoltaic system built in a particular place and in operation under natural sunlight. This test method is mainly used for acceptance testing of newly installed photovoltaic systems, reporting of DC or AC system performance, and monitoring of photovoltaic system performance. The purpose of the PV Capacity Test and modeled energy test is to verify that the integrated system formed from all components of the PV Project has a production capacity that achieves the Guaranteed Capacity and the Guaranteed modeled AEP under measured weather conditions that occur when each PV Capacity Test is conducted. In this paper, we will be discussing ASTM E2848 PV Capacity test plan purpose and scope, methodology, Selection of reporting conditions (RC), data requirements, calculation of results, reporting, challenges, acceptance criteria on pass/fail test results, Cure period, and Sole remedy for EPC contractors for bifacial irradiance. 展开更多
关键词 Photovoltaic System Capacity ASTM E2848 Bifacial PV Modules PV Capacity Testing PVSyst Simulation Solar Energy Performance Regression Modeling
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Comprehensive Examination of Solar Panel Design: A Focus on Thermal Dynamics
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作者 Kajal Sheth dhvanil patel 《Smart Grid and Renewable Energy》 2024年第1期15-33,共19页
In the 21st century, the deployment of ground-based Solar Photovoltaic (PV) Modules has seen exponential growth, driven by increasing demands for green, clean, and renewable energy sources. However, their usage is con... In the 21st century, the deployment of ground-based Solar Photovoltaic (PV) Modules has seen exponential growth, driven by increasing demands for green, clean, and renewable energy sources. However, their usage is constrained by certain limitations. Notably, the efficiency of solar PV modules on the ground peaks at a maximum of 25%, and there are concerns regarding their long-term reliability, with an expected lifespan of approximately 25 years without failures. This study focuses on analyzing the thermal efficiency of PV Modules. We have investigated the temperature profile of PV Modules under varying environmental conditions, such as air velocity and ambient temperature, utilizing Computational Fluid Dynamics (CFD). This analysis is crucial as the efficiency of PV Modules is significantly impacted by changes in the temperature differential relative to the environment. Furthermore, the study highlights the effect of airflow over solar panels on their temperature. It is found that a decrease in the temperature of the PV Module increases Open Circuit Voltage, underlining the importance of thermal management in optimizing solar panel performance. 展开更多
关键词 Solar Photovoltaic (PV) Modules Thermal Efficiency Analysis Open Circuit Voltage Computational Fluid Dynamics (CFD) Solar Panel Temperature Profile
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From Ground to Grid: The Environmental Footprint of Minerals in Renewable Energy Supply Chains
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作者 Gautam Swami Kajal Sheth dhvanil patel 《Computational Water, Energy, and Environmental Engineering》 2025年第1期16-36,共21页
Renewable energy technologies, while often labeled as clean or net-zero alternatives to fossil fuels, involve substantial use of critical minerals in products like electric vehicles, solar panels, wind turbines, and b... Renewable energy technologies, while often labeled as clean or net-zero alternatives to fossil fuels, involve substantial use of critical minerals in products like electric vehicles, solar panels, wind turbines, and battery storage systems. This aspect is frequently underappreciated, yet studies indicate it could be a significant area of environmental impact. For instance, research has shown that a typical electric vehicle needs around six times the mineral resources of a conventional vehicle, while an onshore wind turbine requires nine times the mineral input compared to a gas power plant of similar capacity. This paper seeks to analyze the environmental effects linked to the critical minerals required by certain renewable energy technologies. The study begins with an estimation of the future megawatt capacities for each type of renewable technology. Next, it calculates the specific mineral quantities necessary for each model, followed by an assessment of the environmental repercussions tied to their extraction and processing. The results highlight the unique environmental challenges posed by the rising demand for minerals in solar and wind energy systems, taking into account various adoption scenarios. 展开更多
关键词 Clean Energy Transitions Mineral Extraction Environmental Impacts Solar Photovoltaic (PV) Life Cycle Assessment (LCA) Carbon Emissions
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