Showing posts with label 2016 at 10:28AM. Show all posts
Showing posts with label 2016 at 10:28AM. Show all posts

Saturday, November 12, 2016

Renewable Energy Global Innovations features: Strategical location map for photovoltaic power systems from environmental view point

Significance Statement

It’s well known that there are abundant sunlight and huge land in deserts. For example, comparing annual irradiation in Tokyo and in Sahara desert, the Sahara has 2685 kWh/m2 which is twice as 1268 kWh/m2 in the Tokyo. The deserts must be good for photovoltaic power systems. This is the first idea to start this research. Japanese research team started a feasibility study of installation of the photovoltaic power systems in deserts in large-scale use, which should be considered distance to the desert for transport and power transmission, and the harshness of desert. It was two decades ago. At that period, photovoltaic power systems were very expensive, and was used for remote area where it is not easy to install transmission lines.

The team built up international expert members under the umbrella of the Photovoltaic Power System Programme (PVPS) in the International Energy Agency (IEA). Members are not only electrical engineers but also financial, agricultural, soil and environmental expert were gotten together. The study was so interesting and good experiences of communication. However it was successfully finalized. Their four reports titled ‘Energy from the Desert’ were published, and the last version is available for free on the website of the IEA/PVPS.

This paper is continuation of the study. By the end of the Task 8, two research topics had been done. One is life-cycle assessment (LCA) of the very-large scale photovoltaic power systems (VLS-PV) installed in deserts, and remote sensing using satellite images to find stable land condition to identify suitable location for the VLS-PV in deserts. An irradiation map shows center of desert is the best place. However, it takes a lot of energy to transport huge amount of equipment, and need long transmission lines to cities. From the environmental and economical view point, it should be not good. Therefore, my paper focuses on the distance to include for an economical and environmental study. For this purpose, a geographical information system (GIS) was introduced to calculate differences of locations.

This figure is a map of CO2 emissions of Photovoltaic systems. This is calculated from four type of data. They are results from LCA, irradiation data, City location for power transmission and Ports to import equipment. All they got together, and the map was published. It is easy to know locations where the Photovoltaic system can generate electricity with lower CO2 emissions. Very high potential locations could be obtained in North Chili, east and west Sahara, and Mexico.

 Life cycle assessment and cost analysis of very large-scale photovoltaic power systems and suitable locations in the world. Renewable Energy Global Innovations

About The Author

Masakazu Ito, He is an associate professor at the Advanced Collaborative Research Organization for Smart Society (ACROSS) in the Waseda University in Japan. He is researching Life-Cycle Assessment of PV systems, Geographical Information Systems, and the smart grid technologies, especially those with PV systems, wind power and energy storages. He earned his Ph.D. from the Tokyo University of Agriculture and Technology. He was a Research Fellow of Japan Society for the Promotion of Science (JSPS) while he was Ph.D. student. He started as an assistant professor in the Tokyo Institute of Technology, and then became a JSPS overseas research fellow at the CEA at INES in France, researching the Life Cycle Analysis (LCA) and remote sensing for Very Large Scale Photovoltaic Systems.

He was a member of International Energy Agency (IEA), Photovoltaic Power System Programme (PVPS), Task8: Very large scale photovoltaic power generation systems in remote areas and Task12: PV environmental health and safety. He awarded several prize; Academic Researcher Award by the Tokyo University of Agriculture and Technology in 2004, Naoaki Ito Award (Special Encouragement Award) by Japan Solar Energy Society in 2012, Young Researcher Award by 17th International Photovoltaic Science and Engineering Conference (PVSEC-17) in 2007, Young Researcher Award by 3rd World Conference on Photovoltaic Energy Conversion (WCPEC-3) in 2003, and so on. 

Journal Reference

Masakazu Ito1, Sylvain Lespinats1, Jens Merten1,Philippe Malbranche1, Kosuke Kurokawa2. Life cycle assessment and cost analysis of very large-scale PV systems and suitable locations in the worldProgress in Photovoltaics: Research and Applications, Vol 24 Issue 2, 2016.

Show Affiliations
  1. Laboratory for Solar Systems, Institut National d’Energie Solaire (INES), CEA, Le Bourget du lac Cedex, France
  2. AES Center, Tokyo Institute of Technology, Tokyo, Japan

 

 

Go To Progress in Photovoltaics: Research and Applications

 

 

 

Read more research excellence studies on: Renewable Energy Global Innovations (http://ift.tt/21cCPA4)

Renewable Energy Global Innovations features: Adjustment of wind farm power output through flexible turbine operation using wind farm control

Significance Statement

With high penetration of wind power, the power generated by wind farms can no longer simply be that dictated by the wind speed. It will be necessary for wind farms to provide services to the grid including spinning reserve, frequency support and assistance with supply-demand matching. In these circumstances, to regulate the power generated by the wind farm to match the grid requirements, a wind farm controller, causing the power generated by each turbine to be adjusted, is required.

This study proposes a flexible, hierarchic, decentralized and scalable approach to wind farm control that can be used to maximize the aggregated wind farm power output and/or to follow a reference for the aggregated wind farm power output, taking into account fatigue loading on each wind turbine. It is capable of providing fast and accurate control of the power generated by the wind farm in the below and above rated wind speed without compromising the turbines’ own full envelope controllers through enclosing them in an additional feedback.

The wind farm controller has two elements, the Network Wind Farm Controller (NWFC) and the Turbine Wind Farm Controller (TWFC). The NWFC acts on information regarding the state of the power network to determine the required power output from the wind farm and hence the adjustment relative to the wind speed dictated wind farm power output, which would arise with no adjustment. The TWFC acts on information regarding the state of the wind farm and the turbines therein to allocate adjustments to each turbine relative to the wind speed dictated turbine power output.

The simulation results in Matlab/SIMULINK® and DNV GL BLADED demonstrate that the wind farm power output could be curtailed for an unlimited period of time and increased for a limited period of time to match the wind farm power demand while keeping each turbine in a safe operating region. It is also demonstrated in the frequency domain that the wind-farm controller does not cause a significant feedback effect that could compromise the effectiveness of the turbines full envelope controllers; that is, redesigning or re-tuning of the existing full envelope controller is not necessary.

 

 

adjustment-of-wind-farm-power-output-through-flexible-turbine-operation-using-wind-farm-control1-renewable-energy-global-innovations

 

Adjustment of wind farm power output through flexible turbine operation using wind farm control. Renewable Energy Global Innovations

 

 

Adjustment of wind farm power output through flexible turbine operation using wind farm control. Renewable Energy Global Innovations

 

About The Author

Dr. Sung-ho Hur received the B.Eng. degree in Electronics and Electrical Engineering (EEE) from the University of Glasgow in 2004 and the M.Sc. degree (with Distinction) in EEE from the University of Strathclyde in 2005. He then worked as a Research Assistant in the Industrial Control Centre (ICC) within the Department of EEE at the University of Strathclyde before undertaking a Ph.D. in the ICC in 2006.

During the Ph.D., which was fully supported by an EPSRC Industrial CASE scholarship with DuPont Teijin Films UK Ltd, he conducted research on modelling, cross-directional control and fault monitoring of a plastic film manufacturing process.

Since completing his Ph.D. in 2010, he has been working as a Research Associate in the wind energy group at the University of Strathclyde, researching in control, modelling and anomaly detection of wind turbines and farms. 

 

About The Author

Prof. Bill Leithead joined the Department of Electronic and Electrical Engineering at the University of Strathclyde in 1986 and has been Professor of Systems and Control Engineering since 1999 and Director of the Industrial Control Centre since 2006.

The wind energy group, which he established in 1988, is now one of the largest in the world with more than 70 researchers. He is Director of EPSRC Centre for Doctoral Training in Wind Energy and Marine Systems, which was established in October 2009, and Chair of Supergen Wind Hub. He has published more than 200 publications and been the recipient of more than 40 research grants. 

 

Journal Reference

Sung-ho Hur,William E. Leithead. Adjustment of Wind Farm Output Through Flexible Turbine Operation Using Wind Farm Control. Wind Energy, 2016, Volume 19, pp 1667-1686.  

Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK.

 

Go To Wind Energy

 

 

 

Read more research excellence studies on: Renewable Energy Global Innovations (http://ift.tt/21cCPA4)