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Dive into the research topics where Qie Sun is active.

Publication


Featured researches published by Qie Sun.


IEEE Internet of Things Journal | 2016

A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks

Qie Sun; Hailong Li; Zhanyu Ma; Chao Wang; Javier Campillo; Qi Zhang; Fredrik Wallin; Jun Guo

The significant increase in energy consumption and the rapid development of renewable energy, such as solar power and wind power, have brought huge challenges to energy security and the environment, which, in the meantime, stimulate the development of energy networks toward a more intelligent direction. Smart meters are the most fundamental components in the intelligent energy networks (IENs). In addition to measuring energy flows, smart energy meters can exchange the information on energy consumption and the status of energy networks between utility companies and consumers. Furthermore, smart energy meters can also be used to monitor and control home appliances and other devices according to the individual consumers instruction. This paper systematically reviews the development and deployment of smart energy meters, including smart electricity meters, smart heat meters, and smart gas meters. By examining various functions and applications of smart energy meters, as well as associated benefits and costs, this paper provides insights and guidelines regarding the future development of smart meters.


International Journal of Green Energy | 2016

Analysis of secondary energy in China’s iron and steel industry – An approach of industrial metabolism

Qie Sun; Hailong Li; Bo Xu; Lin Cheng; Ronald Wennersten

ABSTRACT This study developed a conceptual model based on the industrial metabolism approach and the generic model can be used to analyze the energy flows for the iron and steel (Is) industry. based on the general situation of china’s is industry, the energy flows with the focus on secondary energy reuse were analyzed for each of the is production process. by applying the model to a china’s is enterprise, it was found that corporation a recovered and reused 46.6% of its secondary energy in 2010, while there was still a large potential of secondary energy to explore, i.e. about 25.7 × 1015 joule. concerning the general situation in china’s is industry, over 1500 × 1015 joule of secondary energy could be further recovered, without the need of technological breakthroughs or unaffordable investments.


Journal of Cleaner Production | 2015

The Future Potential for Carbon Capture and Storage in Climate Change Mitigation : An overview from perspectives of technology, economy and risk

Ronald Wennersten; Qie Sun; Hailong Li


Energy and Buildings | 2014

Statistical analysis of energy consumption patterns on the heat demand of buildings in district heating systems

Zhanyu Ma; Hailong Li; Qie Sun; Chao Wang; Aibin Yan; Fredrik Starfelt


Energy Procedia | 2016

Agent-based Modeling of Electricity Consumption in an Office Building under a Tiered Pricing Mechanism☆

Haiyang Lin; Qinxing Wang; Yu Wang; Ronald Wennerstern; Qie Sun


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2015

Investigations on the temperature warnings of the Alpha Magnetic Spectrometer on the International Space Station

Kun Wang; Qie Sun; Lipeng Song; Zheng Cui; Naihua Wang; Lin Cheng


ieee conference energy internet and energy system integration | 2017

Agent-based modeling of high-resolution household electricity demand profiles: A novel tool for policy evaluating

Yu Wang; Haiyang Lin; Yiling Liu; Ronald Wennersten; Qie Sun


Energy Procedia | 2016

How can the Gradual Development of More Sustainable Energy Systems Be Integrated in Urban Planning in China

Ronald Wennersten; Qie Sun; Martin de Jong


Energy Procedia | 2016

A Comparative Cost Assessment of Energy Production from Central Heating Plant or Combined Heat and Power Plant

Victor Nian; Qie Sun; Zhanyu Ma; Hailong Li


ieee conference energy internet and energy system integration | 2017

Prediction of short-term output of photovoltaic system based on generalized regression neural network

Luyao Liu; Yi Zhao; Qie Sun; Ronald Wennersten

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Hailong Li

Mälardalen University College

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Zhanyu Ma

Beijing University of Posts and Telecommunications

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