A5102806817- Vehicle emissions and performance
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- Air Quality and Health Impacts
- Energy and Environment Impacts
- Advanced Queuing Theory Analysis
- Complexity and Algorithms in Graphs
- Invertebrate Immune Response Mechanisms
- Acute Myeloid Leukemia Research
- Structural Health Monitoring Techniques
- Advanced Measurement and Detection Methods
- Energy Efficiency and Management
- Environmental Justice and Health Disparities
- Scheduling and Optimization Algorithms
- Optimization and Search Problems
- Hybrid Renewable Energy Systems
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Statistical Process Monitoring
- Management and Optimization Techniques
- Housing Market and Economics
- Reliability and Maintenance Optimization
- Electric Power System Optimization
- Advanced Battery Technologies Research
- Gas Sensing Nanomaterials and Sensors
- Optimization and Packing Problems
Stanford University
2019-2024
San Jose State University
2023
Carnegie Mellon University
1988-2020
Indian Institute of Science Bangalore
2004-2019
University of Michigan
1990
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTPerformance Metrics Required of Next-Generation Batteries to Electrify Commercial AircraftAlexander BillsAlexander BillsDepartment Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United StatesMore by Alexander Billshttp://orcid.org/0000-0001-7992-8837, Shashank SripadShashank SripadDepartment Sripadhttp://orcid.org/0000-0003-1785-2042, William Leif FredericksWilliam FredericksDepartment...
Emissions from electric vehicles depend on when they are charged and which power plants meet the electricity demand. We introduce a new metric, critical emissions factors (CEFs), as intensity of that needs to be achieved charging ensure achieve lifecycle greenhouse gas parity with some most efficient gasoline hybrid across United States. use consequential framework, consider 2018 our reference year, account for effects temperature drive cycle vehicle efficiency regional climate conditions....
Abstract Light-duty transportation continues to be a significant source of air pollutants that cause premature mortality and greenhouse gases (GHGs) lead climate change. We assess PM 2.5 emissions its health consequences under large-scale shift electric vehicles (EVs) or Tier-3 internal combustion (ICVs) across the United States, focusing on implications by states for fifty most populous metropolitan statistical areas (MSA). find both ICVs EVs reduce 80%–93% compared current light-duty...
Ensuring reliable and affordable access to modern energy services, especially for the poorer deprived section of population, is a basic requisite sustainable development. Given that majority energy-deprived population lives in rural regions developing countries, an effective electrification critical bridging rural-urban divide. Building on intervention, implementing productive services can influence next stages development through livelihood activities, microenterprises, lifestyle...
The authors present models that explicitly take account of yield losses and show how available chip sites should be allocated among various types chips to meet the demand a set with maximum probability. A key result is proportion each type varies total number sites. allocation model also provides tradeoff curve between assigned for production highest attainable level confidence in meeting demand; this valuable when more than one competing same resources. influence wafer loss rework on...
Abstract California contributes 0.75% of global greenhouse gas (GHG) emissions and has a target reaching economy-wide net zero by 2045, requiring all sectors to rapidly reduce emissions. Nearly 8% California’s GHG are from the heavy-duty transportation sector. In this work, we simulate decarbonization strategies for vehicle (HDV) fleet using detailed turnover air quality models track evolution fleet, criteria pollutant emissions, resulting health impacts across sociodemographic groups. We...
Random yield in semiconductor manufacturing poses a major challenge for production planning. The task becomes even more difficult if the demand is terms of set components. Here, model are presented which explicitly take account losses and show how available chip sites should be allocated among various types chips to meet with maximum probability. This allocation also provides tradeoff curves between number assigned highest attainable level confidence meeting demand. models here can used at...
Census data is crucial to understand energy and environmental justice outcomes such as poor air quality which disproportionately impact people of color in the U.S. Wwith advent sophisticated personal datasets analysis, Bureau considering adding top-down noise (differential privacy) post-processing 2020 census reduce risk identification individual respondents. Using 2010 demonstration pollution data, I find that compared original census, differentially private (DP) significantly changes...
Required response spectra (RRS) are commonly used as dynamic-test specifications in product qualification. RRS specification for a is normally developed by considering the operating environment of product. This paper presents technique to improve qualification test employing available dynamic information on object. Specifically, model object subjected support-motion inputs employed. In practice, can be conveniently determined experimental modal analysis or finite element method. The method...