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Featured researches published by Nihan Karali.


Archive | 2014

Greenhouse Gas Mitigation Options in ISEEM Global Energy Model: 2010-2050 Scenario Analysis for Least-Cost Carbon Reduction in Iron and Steel Sector

Nihan Karali; Tengfang Xu; Jayant Sathaye

E RNEST O RLANDO L AWRENCE B ERKELEY N ATIONAL L ABORATORY Greenhouse Gas Mitigation Options in ISEEM Global Energy Model: 2010-2050 Scenario Analysis for Least- Cost Carbon Reduction in Iron and Steel Sector Nihan Karali Tengfang Xu Jayant Sathaye Environmental Energy Technologies Division December 2013 This work was supported by the Climate Economics Branch, Climate Change Division, U.S. Environmental Protection Agency through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.


china international conference on electricity distribution | 2016

Benefits analysis of smart grid demonstration projects

Nihan Karali; Dong Zhang; GuoQi Ren; Brendan Shaffer; Kevin Clampitt; Jiancheng Yu; Robert Yinger; Chris Marnay

Three example benefits analyses of smart grid demonstration projects are reported. Two U.S. projects are both in Irvine, CA. Southern California Edisons Irvine Smart Grid Demonstration project achieved excellent results for Volt-VAR control, but 9 demonstration zero net energy homes proved far from economic. A microgrid controller being developed for the U.C. Irvine campus promises valuable reliability benefits, and its combined heat and power plant delivers significant ongoing benefits. At the Tianjin Eco-city, multiple demonstrations have been effective technically, but fall short of economic viability.


Archive | 2017

Improved heavy-duty vehicle fuel efficiency in India, benefits, costs and environmental impacts

Anand Gopal; Nihan Karali; Ben Sharpe; Oscar Delgado; Anup Bandivadekar; Mehul Garg

The main objectives of this analysis are to examine the benefits and costs of fuel-saving technologies for new heavy-duty vehicles (HDVs) in India over the next 10 years and, to explore how various scenarios for the deployment of vehicles with these technologies will impact petroleum consumption and carbon dioxide (CO2) emissions over the next three decades. The study team developed simulation models for three representative HDV types—a 40-tonne tractor-trailer, 25-tonne rigid truck, and 16-tonne transit bus—based on top-selling vehicle models in the Indian market. The baseline technology profiles for all three vehicles were developed using India-specific engine data and vehicle specification information from manufacturer literature and input from industry experts. For each of the three vehicles we developed a comprehensive set of seven efficiency technology packages drawing from five major areas: engine, transmission and driveline, tires, aerodynamics, and weight reduction. Our analysis finds that India has substantial opportunity to improve HDV fuel efficiency levels using cost-effective technologies. Results from our simulation modeling of three representative HDV types—a tractor-trailer, rigid truck, and transit bus—reveal that per-vehicle fuel consumption reductions between roughly 20% and 35% are possible with technologies that provide a return on the initial capital investment within 1 to 2 years. Though most of these technologies are currently unavailable in India, experiences in other more advanced markets such as the US and EU suggest that with sufficient incentives and robust regulatory design, significant progress can be made in developing and deploying efficiency technologies that can provide real-world fuel savings for new commercial vehicles in India over the next 10 years. Bringing HDVs in India up to world-class technology levels will yield substantial petroleum and GHG reductions. By 2030, the fuel and CO2 reductions of the scenarios range from 10% to 34%, and at the end of 2050, these reductions grow to 13% and 41%. If we constrain the analysis to select the most efficient technology package that provides the fleets with payback times of 3 years or less, there are annual fleet-wide savings of roughly 11 MTOE of diesel and 34 MMT of CO2 in 2030, and this grows to 31 MTOE and 97 MMT by 2050.


Applied Energy | 2014

Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector

Nihan Karali; Tengfang Xu; Jayant Sathaye


Applied Energy | 2014

Undertaking high impact strategies: The role of national efficiency measures in long-term energy and emission reduction in steel making

Tengfang Xu; Nihan Karali; Jayant Sathaye


Mitigation and Adaptation Strategies for Global Change | 2016

Developing long-term strategies to reduce energy use and CO2 emissions—analysis of three mitigation scenarios for iron and steel production in China

Nihan Karali; Tengfang Xu; Jayant Sathaye


Applied Energy | 2017

Modeling technological change and its impact on energy savings in the U.S. iron and steel sector

Nihan Karali; Won Young Park; Michael A. McNeil


Archive | 2017

A Review of the American Recovery and Reinvestment Act Smart Grid Projects and Their Implications for China

Xu Liu; Chris Marnay; Wei Feng; Nan Zhou; Nihan Karali


Energy: Expectations and Uncertainty,39th IAEE International Conference,Jun 19-22, 2016 | 2016

Uncertainty in Benefit-cost Analysis of Smart Grid Demonstration Projects in the U.S., China and Italy

Nihan Karali; Jiancheng Yu; Silvia Vitiello; Chris Marnay; Gianluca Flego; Dong Zhang


Archive | 2015

Using learning curves on energy-efficient technologies to estimate future energy savings and emission reduction potentials in the U.S. iron and steel industry:

Nihan Karali; Won Young Park; Michael A. McNeil

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Chris Marnay

Lawrence Berkeley National Laboratory

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Jayant Sathaye

Lawrence Berkeley National Laboratory

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Tengfang Xu

Lawrence Berkeley National Laboratory

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Michael A. McNeil

Lawrence Berkeley National Laboratory

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Virginie Letschert

Lawrence Berkeley National Laboratory

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Kevin Clampitt

Southern California Edison

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Robert Yinger

Southern California Edison

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Won Young Park

Lawrence Berkeley National Laboratory

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Dong Zhang

State Grid Corporation of China

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Jiancheng Yu

State Grid Corporation of China

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