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Abstract: The pulp and paper industry is one of the most energy-intensive industries worldwide. In 2007, it accounted for 5% of total global industrial energy consumption and 2% of direct industrial carbon dioxide (CO2) emissions. An energy audit is a primary step toward improving energy efficiency at the facility level. This paper describes a plant-wide energy audit aimed at identifying energy conservation and CO2 mitigation opportunities at a paper mill in Guangdong province, China. We describe the energy audit methods, relevant Chinese standards, methods of calculating energy and carbon indicators, baseline energy consumption and CO2 emissions of the audited paper mill, and nine energy-efficiency improvement opportunities identified by the audit. For each of the nine options, we evaluate the energy conservation and associated CO2 mitigation potential. The total technical energy conservation potential for these nine opportunities is 967.8terajoules (TJ), and the total CO2 mitigation potential is equal to 93,453tonnes CO2 annually, representing 14.4% and 14.7%, respectively, of the mill’s total energy consumption and CO2 emissions during the audit period. [Copyright &y& Elsevier]

Abstract: In March 2011, China’s central government set a new challenging target of reducing its energy intensity by 16% during 2011–2015, after it had achieved a reduction of 19.1% during 2006–2010. And this new target was assigned to provincial authorities in August 2011. However, China’s provincial energy-economic developments are unbalanced and different provinces have different key sectors for energy conservation. Most previous studies focused on provincial energy efficiency at the aggregate level, or the three-industry level (or one-digit level). However, whether for policy decision or academic research, it is necessary to further subdivide the sectors. In this paper, we use three indicators (Gini Coefficient, energy consumption share and energy intensity) to compare provincial energy conservation potentials at the two-digit sector level. To our knowledge, this paper is the first one to identify the keys for energy conversation across the 31 provinces×65 sectors. And the results are shown in visualized maps and matrix tables to help identify the key province×sectors for energy conservation easier. This also helps the central and provincial governments to distinguish key sectors when they monitor the energy conservation progress. [Copyright &y& Elsevier]

Abstract A full understand of the influential mechanism concerning electricity consumption has a crucial political reference significance for the implementation of energy conservation and consumption reduction policies. To solve the lack of correlation between the empirical results of the research regions in present researches, this paper takes China's electricity consumption from 1995 to 2016 as the research subject, uses Multi-period ST-LMDI model by setting a unified reference province as a benchmark for different regions in China to completely decompose the changes in China's electricity consumption, and further analyzes the influence mechanism of China's electricity consumption changes by combining the characteristics of the departments and regions. As the result, it's found that the economic growth has a strong impetus for power consumption while the technological progress can effectively curb it. Meanwhile, results of studying electricity consumption from the perspective of industry and region show that the economic structure and consumption intensity have obviously different influences in the eastern, central and western regions. So when it comes to formulate the policy for electricity development and reform, the characteristics of industrial structure as well as the regional differences must be taken into consideration. Highlights • We apply Multi-period ST-LMDI to decompose China's electricity consumption. • The expansion of the economy is the main factor for the growth of electricity consumption. • Decline in electricity consumption intensity restrain the growth of power consumption. • All industrial sectors basically had positive effects on electricity consumption. [ABSTRACT FROM AUTHOR]

Abstract: There are many kinds of methods to estimate the energy requirement or fuel consumption in the optimal design and minimize the life cost of a building. The bin method is one of the most popular ways to estimate the energy performance of a building, which is based on the hourly-based outdoor dry-bulb temperatures of all days in a whole year. There is lack of information about the bin weather data in China. In this paper, the ambient temperature bin data for 26 cities in China are generated. Based on the method used in this paper, the bin data can be calculated with the long-term daily weather record or TMY weather data, the deviation between them is acceptable. The bin data given in this paper may have the positive impact on building energy conservation in China. [Copyright &y& Elsevier]

Electric power industry is a typical industry with high energy consumption and high emissions in China. To relieve the increasing environmental pressures and promote the sustainable development of China’s economy and society, it is urgent to take actions to reduce energy consumption and pollution emissions of China’s electric power industry. In this paper, we first present an overview of the development status of China’s electric power industry, including the total power generating capacity and proportions of different power generation methods, the development of renewable energy power generation, as well as the average utilization hours of different power generation equipment. Then, the development of energy conservation and emissions reduction of China’s electric power industry is studied. The indicators of energy conservation include coal consumption for power supply, power consumption rate of power plants and comprehensive line loss rate; while the contents of emissions reduction include desulfurization, emissions control and the comprehensive utilization of solid waste. Finally, suggestions in five aspects to promote energy conservation and emissions reduction of China’s electric power industry are presented. The five suggestions are improving power generation technologies, expanding renewable energy power generation, optimizing power generation process, strengthening monitoring and regulation, and promoting power generation rights and emissions trading. [ABSTRACT FROM AUTHOR]

With low energy intensity and great potential for growth, the commercial sector has become one of the key sectors for energy conservation and emission reduction in the context of China's rapid urbanization process. Based on the EIA (Energy Information Administration) statistical methods, this paper calculates the energy consumption of China's commercial sector from 1981 to 2012, specifies the determinants of commercial energy demand, forecasts future energy consumption and estimates the energy conservation potentials using the Johansen co-integration methodology. The results indicate: (i) GDP (Gross Domestic Product) and urbanization have positive effects on the energy consumption of the commercial sector while labor productivity and energy price contribute to reduction in the sector's energy consumption. (ii) Under the basic scenario, energy consumption of the commercial sector will be 317.34 and 469.84 Mtce (million tons of coal equivalent) in 2015 and 2020 respectively. (iii) Under the moderate and advanced scenario, about 187.00 and 531.45 Mtce respectively of the energy consumption of the commercial sector can be conserved from 2013 to 2020. The findings have important implications for policy-makers to enact energy-saving policies. [ABSTRACT FROM AUTHOR]