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Featured researches published by Hongyou Lu.


Science of The Total Environment | 2013

Quantifying the co-benefits of energy-efficiency policies: A case study of the cement industry in Shandong Province, China

Ali Hasanbeigi; Agnes Lobscheid; Hongyou Lu; Lynn Price; Yue Dai

In 2010, Chinas cement industry accounted for more than half of the worlds total cement production. The cement industry is one of the most energy-intensive and highest carbon dioxide (CO2)-emitting industries, and thus a key industrial contributor to air pollution in China. For example, it is the largest source of particulate matter (PM) emissions in China, accounting for 40% of industrial PM emissions and 27% of total national PM emissions. In this study, we quantify the co-benefits of PM10 and sulfur dioxide (SO2) emission reductions that result from energy-saving measures in the cement industry in Shandong Province, China. We use a modified form of the cost of conserved energy (CCE) equation to incorporate the value of these co-benefits. The results show that more than 40% of the PM and SO2 emission reduction potential of the electricity-saving measures is cost effective even without taking into account the co-benefits for the electricity-saving measures. The results also show that including health benefits from PM10 and/or SO2 emission reductions reduces the CCE of the fuel-saving measures. Two measures that entail changing products (production of blended cement and limestone Portland cement) result in the largest reduction in CCE when co-benefits were included, since these measures can reduce both PM10 and SO2 emissions, whereas the other fuel-saving measures do not reduce PM10.


Lawrence Berkeley National Laboratory | 2010

Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

Lynn Price; Ali Hasanbeigi; Hongyou Lu; Wang Lan

E RNEST O RLANDO L AWRENCE B ERKELEY N ATIONAL L ABORATORY Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China (Revision) Lynn Price, Ali Hasanbeigi, Hongyou Lu China Energy Group, Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Wang Lan China Building Materials Academy October 2009 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Funding for LBNL collaborators was provided by the World Bank through the Energy and Transport Sector Unit of the East Asia and Pacific Region (EASTE). The U.S. Government retains, and the publisher, by accepting the article for publication, acknowledges, that the U.S. Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes.


Science | 2015

Understanding China's non–fossil energy targets

Joanna I. Lewis; David Fridley; Lynn Price; Hongyou Lu; John Romankiewicz

Methodology standardization will improve comparability More than 130 countries have targets for increasing their share of renewable or nonfossil energy (1). These shares and targets are often reported without clear articulation of which energy accounting method was used to convert nonfossil electricity into units that allow comparison with other energy sources (2–4). Three commonly used conversion methods are well documented by organizations dealing in energy statistics, but often, the method is not clearly stated when countries translate national targets into international pledges or when organizations track and compare targets across nations. China—the worlds largest energy producer, energy consumer, and emitter of energy-related carbon dioxide (CO2)—uses a distinct fourth method that is unique, not well documented in the literature, and not transparent in policy documents. A single, standardized, and transparent methodology for any targets that are pledged as part of an international agreement is essential.


Lawrence Berkeley National Laboratory | 2008

China Energy Databook -- User Guide and Documentation, Version 7.0

David Fridley; Nathaniel Aden; Hongyou Lu; Nina Zheng

China Energy Databook User Guide and Documentation Access 2003 Standalone Version Version 7.0 October 2008 Editors: David Fridley and Nathaniel Aden Associate Editors: Hongyou Lu and Nina Zheng *Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory This work was supported by the US Department of Energy under contract number DE-AC02-05CH11231.


Archive | 2016

A Bottom-up Energy Efficiency Improvement Roadmap for China’s Iron and Steel Industry up to 2050

Qi Zhang; Ali Hasanbeigi; Lynn Price; Hongyou Lu; Marlene Arens

Author(s): Zhang, Qi; Hasanbeigi, Ali; Price, Lynn; Lu, Hongyou; Arens, Marlene | Abstract: Iron and steel manufacturing is energy intensive in China and in the world. China is the world largest steel producer accounting for around half of the world steel production. In this study, we use a bottom-up energy consumption model to analyze four steel-production and energy-efficiency scenarios and evaluate the potential for energy savings from energy-efficient technologies in China’s iron and steel industry between 2010 and 2050. The results show that China’s steel production will rise and peak in the year 2020 at 860 million tons (Mt) per year for the base-case scenario and 680 Mt for the advanced energy-efficiency scenario. From 2020 on, production will gradually decrease to about 510 Mt and 400 Mt in 2050, for the base-case and advanced scenarios, respectively. Energy intensity will decrease from 21.2 gigajoules per ton (G/t) in 2010 to 12.2 GJ/t and 9.9 GJ/t in 2050 for the base-case and advanced scenarios, respectively. In the near term, decreases in iron and steel industry energy intensity will come from adoption of energy-efficient technologies. In the long term, a shift in the production structure of China’s iron and steel industry, reducing the share of blast furnace/basic oxygen furnace production and increasing the share of electric-arc furnace production while reducing the use of pig iron as a feedstock to electric-arc furnaces will continue to reduce the sector’s energy consumption. We discuss barriers to achieving these energy-efficiency gains and make policy recommendations to support improved energy efficiency and a shift in the nature of iron and steel production in China.


Archive | 2016

Low-Carbon City Policy Databook: 72 Policy Recommendations for Chinese Cities from the Benchmarking and Energy Savings Tool for Low Carbon Cities

Lynn Price; Nan Zhou; David Fridley; Stephanie Ohshita; Nina Khanna; Hongyou Lu; Lixuan Hong; Gang He; John Romankiewicz; Hu Min

Author(s): Price, Lynn; Zhou, Nan; Fridley, David; Ohshita, Stephanie; Khanna, Nina; Lu, Hongyou; Hong, Lixuan; He, Gang; Romankiewicz, John; Min, Hu


Archive | 2015

Curbing Air Pollution and Greenhouse Gas Emissions from Industrial Boilers in China

Bo Shen; Lynn Price; Hongyou Lu; Xu Liu; Katherine Tsen; Wei Xiangyang; Zhang Yunpeng; Guan Jian; Hou Rui; Zhang Junfeng; Zhuo Yuqun; Xia Shumao; Han Yafeng; Liu Manzhi

Author(s): Shen, Bo; Price, Lynn K; Lu, Hongyou; Liu, Xu; Tsen, Katherine; Xiangyang, Wei; Yunpeng, Zhang; Jian, Guan; Rui, Hou; Junfeng, Zhang; Yuqun, Zhuo; Shumao, Xia; Yafeng, Han; Manzhi, Liu


Energy Policy | 2011

Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan

Lynn Price; Mark D. Levine; Nan Zhou; David Fridley; Nathaniel Aden; Hongyou Lu; Michael A. McNeil; Nina Zheng; Yining Qin; Ping Yowargana


Energy | 2010

Analysis of energy-efficiency opportunities for the cement industry in Shandong Province, China: A case study of 16 cement plants

Ali Hasanbeigi; Lynn Price; Hongyou Lu; Wang Lan


Habitat International | 2013

Development of a Low-Carbon Indicator System for China

Lynn Price; Nan Zhou; David Fridley; Stephanie Ohshita; Hongyou Lu; Nina Zheng; Cecilia Fino-Chen

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Lynn Price

Lawrence Berkeley National Laboratory

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David Fridley

Lawrence Berkeley National Laboratory

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Ali Hasanbeigi

Lawrence Berkeley National Laboratory

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Nan Zhou

Lawrence Berkeley National Laboratory

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Bo Shen

Lawrence Berkeley National Laboratory

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Cecilia Fino-Chen

Lawrence Berkeley National Laboratory

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Qi Zhang

Northeastern University

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Nina Zheng

Lawrence Berkeley National Laboratory

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Stephanie Ohshita

Lawrence Berkeley National Laboratory

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