Innovative power engineering

Centers, which is covered with a wide range of areas, including solar energy, wind power, biomass energy, Battery & Fuel Cell, smart grid, energy efficiency and so on.

2) The State Key Laboratory of Coal Combustion (SKLCC)

The SKLCC in HUST is an advanced Clean Coal Technology Institute in China. It was established by the Chinese central government in 1988 and applied R&D on developing advanced, efficient and clean coal combustion technologies. Many high level scientists and researchers have been brought up in the laboratory. The key research areas in the laboratory include: Coal combustion and reactive multiphase turbulent fluid mechanics; Pollutant formation and control; Advanced technologies of thermal energy utilization and conversion; Diagnostics, optimization and system synthesis of thermal power equipment and systems. There are three platforms in SKLCC: ChinaUS Clean Energy Research Center, National Energy Coal Clean and Low-carbon Power Generation R&D Center and CCUS Industry Promotion Center.

There are many outstanding achievements in sklcc, such as: Zhaoli Guo etc. Discrete lattice effects on the forcing term in the

lattice Boltzmann method [7].

Yang, Haiping etc. Characteristics of hemicellulose, cellulose and lignin pyrolysis [8].

Liu Huan etc. Catalytic role of conditioner CaO in nitrogen transformation during sewage sludge pyrolysys [9].

3) 35MWth Oxy-fuel Combustion Demonstration System The fig. 5 shows the scene of the actual oxy-combustion.

Coal accounts for about 70 % in our energy mix, thus lead to great potential output of CO2 to the environment. While oxy-combustion provide a possible method to deal with the settlement of CO2 in the plant.

This 35 MW oxy-combustion industrial demonstration project is a key step (0.4 MWth M 3 MWth M 35 MWth M 200 MWe M 600 MWe) for the oxy-combustion capture technology to reach commercial operation. Supported by the National Key Technology R&D Program and based on the National Energy Coal Clean and Low-

41

carbon Power Generation R&D (Experiment) Center, the total investment of the project is over RMB 100 Million. Its construction started on 2012.12.31 in Yingcheng City, Hubei Province with the main construction finished at the end of 2014 and commissioning started on 2015.01.28. When the project is completed, it will obtain the objectives of the concentration of CO2 in the flue gas over 80 % and the rate of CO2 capture over 90 %. Based on above, industrialized amplification will be carried out for the applications of oxygen-combustion technology to 200~600 MW power plants to achieve large scale of emission reduction and CO2 utilization in China.

Fig. 5. the scene of 35MW oxy-combustion

International cooperation

1) China-EU Institute for Clean and Renewable Energy (ICARE) ICARE at HUST is the third China–EU educational institute

jointly established by Chinese government and European Commission in China. In July 2010, the European Commission approved the ICARE programme in HUST. ICARE was built together by 10 universities and 1 institute from 7 countries, they are Paris Tech, Universität Kassel, HUST, Southeast University, Wuhan University of Technology, National Technical University of Athens, University of Zaragoza, Northumbria University, University of Rome, University of Perpignan and International Office for Water [10].

42

ICARE provides highly quality China-EU double master programme, joint doctorate programme, vocational training, research and project consulting activities. It aims to facilitate the exchange and cooperation between China and Europe in clean and renewable energy, boost the developments and applications of clean and renewable energy business in China, promote the sustainable economic and social development, and enhance the education in clean and renewable energy in China. As is shown in table 4, we have already obtained lots of achievements in recent 3 years.

Fig. 6. Achievements of ICARE

2) China-US Clean Energy Research Center (CERC)

In November 2009, China and US Presidents announced the establishment of the Clean Energy Research Center. On November 17, U.S. Secretary of Energy Steven Chu, Chinese Minister of Science and Technology Wan Gang, and Chinese National Energy Administrator Zhang Guobao signed the Protocol, launching the CERC. There are three consortia in CERC, Advanced Coal Technology, Clean vehicle, and Efficient Building. The Clean Coal including CCS program addresses technology and practices for clean coal utilization and carbon capture, utilization, and storage. HUST was selected as the host institute of Advanced Coal Technology Consortia (ACTC). The team consists of several famous universities (Tsinghua University, HUST, West Virginia University, etc.), world class laboratories (Lawrence Livermore National Laboratory, Los Alamos National Laboratory, etc.) and enterprises (Alstom, General Electric (GE), American Electric

43

Power (AEP), China HuaNeng Group, Shenhua Group, etc.) from both of China and US, figure7 shows all the participated members.

Fig. 7. Participated members [11]

Conclusion

China's development must regard the sustainable energy as a precondition. We have to make adjustment to adjust the proceeding world, we need international partners to cope with the energy problem together. Russia is the biggest natural gas exporting country, and playing a very important role in the world energy structure. To cooperate with Russia is an excellent choice either in resource aspect or in technology aspect. HUST has strong research strength in the field of energy and has experience to do international research combined with foreign partners. We hope to expand cooperation with universities in Russia, and to make contribution to the energy field together.

44

References

1.International Energy Agency. – URL: http://www.iea.org/stats/ WebGraphs/CHINA4.pdf.

2.Boqiang Lin, Xiaoling Ouyang, Energy demand in China: Comparison of characteristics between the US and China in rapid urbanization stage // Energy Conversion and Management. – March 2014. – Vol. 79. – P. 128–139.

3.Jinshuang Gong. China’s oil market review in 2014 and outlook in 2015. – 2015. – Vol. 02. – P. 31–35.

4.Qiang Wang. Effects of urbanisation on energy consumption in China // Energy Policy. – February 2014. – Vol. 65. – P. 332–339.

5.URL: http://hust.edu.cn/

6.URL:http://baike.haosou.com/doc/5071012-5298554.html

7.Discrete lattice effects on the forcing term in the lattice Boltzmann method / Z. Guo, C. Zheng [et al.] // Physical Review E. – 2002. – Vol. 65(4).

8. Characteristics of hemicellulose, cellulose and lignin pyrolysis /

H.Yang, R. Yan [et al.]. – 2007. – Fuel 86(12–13): 1781–1788.

9.Catalytic role of conditioner CaO in nitrogen transformation during sewage sludge pyrolysis / H. Liu, Q. Zhang [et al.]. // Proceedings of the Combustion Institute. – 2015. – Vol. 35(3): 2759–2766.

10.URL: http://www.ceicare.edu.cn/

11.URL: http://sklcc.hust.edu.cn/

45

SEMAS: SMART ENERGY MONITORING

AND ANALYSIS SYSTEM

A.B. Petrochenkov, A.V. Kychkin

Perm National Research Polytechnical University, Perm, Russia

The process of energy data (parameters) monitoring and analyzing as an element of geographically distributed power system is connected, first of all, with the development and testing of algorithms for efficient process control, manufacturing, electrical systems and networks. Given the wide range of energy data, complexity of formalizing relations between them, and as a consequence, the objective function of objects management in general, the most effective, and sometimes the only real way to increase efficiency (reliability) of the test operation of technological and electrical facilities and systems, as well as reducing the cost of operation is to improve the means and methods of monitoring and analysis on the basis of mathematical modeling using intelligent information processing technologies.

From the existing complex power plants monitoring systems the most adequate systems based on standard technology of energy flows automated technical accounting, but they has disadvantages in terms of system intelligence complex lifecycle management (related set) technology and electrical facilities. The full study (setting, commissioning, operation, diagnostics, testing, etc.) technological and electrical installations and distributed energy systems based on them require significant time and cost, it is often inefficient identification parameters and characteristics of the equipment in local areas difficult to obtain an overall assessment of the state of energy network. Therefore, the creation of a new widely available (national coverage) technologies for efficient and long-term monitoring and intelligent analysis of the technological processes, production, electrical systems and networks is very important for energy, engineering, transport and other sectors in the country.

Centralized storage of monitoring and analysis results of technological and electrical facilities parameters in the practice of

46

distributed complex systems management can provide new scientific and practical results and contribute to the development of new techniques to detect deviations in the power equipment, the formation of effective operation methods of distributed energy systems based on observation history and forecasting. Monitoring and research of the equipment energy performance in the active-adaptive networks that are based on distributed generation, will provide a holistic picture of information and energy and create effective network management modes.

One of the proposed project significance factor is also the possibility to introduce in the educational practices of the federal state budgetary educational institution of higher education “Perm National Research Polytechnic University” (PNRPU) new and improved quality innovative educational programs for engineering, scientific and managerial personnel in the aviation, energy and aerospace, network companies, housing and communal services and related industries.

Aims and expected results. The key aim is the formation of engineering, research, and educational solutions to assess the state of technological processes, production, electrical systems and networks based on effective monitoring and analysis energy data.

The main expected results of scientific research should be:

1.Set the local and global efficiency criterion intelligent system monitoring and analysis of complex technical systems energy data.

2.Conceptual model of effective monitoring and analysis of complex technical systems energy data.

3.Technique of smart technologies using to improve the efficiency of energy data monitoring and analysis.

4.The method of constructing HIL simulation and experimental systems, processes, facilities, electrical systems and networks based on dynamic multi-mode simulation model.

5.The software package for modeling elements of technological processes, production, electrical systems and networks on the basis of an information system with a modular reconfigurable architecture, and support advanced protocols for collecting information.

6.Laboratory and research complex of modular devices and

automated system components for collecting and processing

47

information about objects of technological processes, production, electrical systems and networks.

7.The model of knowledge representation about the state of distributed processes, manufacturing, electrical systems and networks.

8.The complex of interrelated formal procedures integrated logistics support in distributed power systems.

9.Recommendations and methods for evaluating the effectiveness of the decisions on the application of advanced energy-saving technologies.

3.The main tasks. Actuality the problem of increasing the

efficiency of geographically distributed energy systems based on remote monitoring intellectualization necessitates solving scientific and applied problems:

–Unification of technologies for collecting energy and process data;

–Harmonization of protocols and communication interfaces, data transmission methods between systems of the upper and lower levels, like shown in Fig. 1;

Fig. 1. IT infrastructure of energy data monitoring solution from Envidatec GmbH

–Unification of program blocks data processing and analysis;

–Creation on the basis of existing approaches to the construction of a cross-platform accounting systems monitoring technology devices and networks (up to several tens of thousands of units);

–Development of the intelligent system monitoring and energy

data analysis architecture;

48

–Selection of criteria and construct a model of efficiency for complex technical systems remote monitoring;

–Analytical review and scientific substantiation of approaches to the intelligent technologies using to improve the efficiency of distributed technical systems remote condition monitoring;

–Development of algorithms and protocols for collecting measurement, geographic and attribute information for the formation of knowledge representation model about the state of distributed complex power units (Fig. 2);

Fig. 2. Visualization of the geographic and attribute information

– Research and development of long-term monitoring in real time network model, taking into account uncertainty;

49

–Development of modular reconfigurable architecture software using the latest protocols for collecting information;

–The development of seminatural and simulation models of power and process equipment technique construction;

–Creation of stable local information networks for data collection.

4. The key participants and their roles. The project is a complex

and interdisciplinary, with the participation of leading specialists of the microprocessor automation equipment department of PNRPU, specialists of scientific-educational center of energy conservation (NOTSES) and other departments PNRPU, researchers at the University of Applied Sciences Hamburg (Hamburg, Germany) and specialists Envidatec GmbH (Hamburg, Germany), which is PNRPU industrial partner.

Hamburg University of Applied Sciences is a leader in problems of approaches to monitoring and technical diagnostics of electrical systems research.

There is a need to carry out research elements of the material and technical base: an active laboratory-adaptive networks (PNRPU, microprocessor automation equipment department), the laboratory of the automated electric in the microprocessor automation equipment department, energy monitoring laboratory SmartJEVisLab, based on the OpenJEVis community (Fig. 3) and developed jointly with the University of Applied Sciences Hamburg Envidatec GmbH.

An integrated approach that combines Russian and European experience, allows you to use both already available in the department of microprocessor automation equipment department laboratory facilities, and energy monitoring developed by the laboratory to simulate various modes of monitoring the parameters of the simulated power system, various debugging options for technical performance, configuration and composition of structural elements. Network poster complex will provide both HIL testing and software testing (developed data processing algorithms), iteratively complementing each other in the mode of access through the Internet.

50