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- Satya Kiran Raju Alluri
- Trishanu Shit
- G. Dhinesh
- Devender Gujjula
- S. V. S. Phani Kumar
- Umakanta Pradhan
- Subrat Naik
- Mehmuna Begum
- S. Sujith Kumar
- Uma Sankar Panda
- Pravakar Mishra
- Subimal Ghosh
- Subhankar Karmakar
- Anamitra Saha
- Mohit Prakash Mohanty
- Shees Ali
- Satya Kiran Raju
- Vrinda Krishnakumar
- Maneesha Sebastian
- Manasa Ranjan Behera
- R. Ashrit
- P. L. N. Murty
- K. Srinivas
- B. Narasimhan
- Tune Usha
- P. Thiruvengadam
- J. Indu
- D. Thirumalaivasan
- John P. George
- S. Gedam
- A. B. Inamdar
- B. S. Murty
- P. P. Mujumdar
- M. Mohapatra
- Arun Bhardwaj
- Swati Basu
- Shailesh Nayak
- Basanta Kumar Jena
- J. Rajkumar
- Aruna Kumar Avula
- K. Jossia Joseph
- Vijaya Ravichandran
- Mullai Vendhan
- A. S. Kiran
- Shyamala Varthini
- T. Abhishek
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Ramana Murthy, M. V.
- Offshore Wind to Meet Increasing Energy Demands in India
Abstract Views :223 |
PDF Views:90
Authors
Satya Kiran Raju Alluri
1,
Trishanu Shit
1,
G. Dhinesh
1,
Devender Gujjula
1,
S. V. S. Phani Kumar
1,
M. V. Ramana Murthy
1
Affiliations
1 National Institute of Ocean Technology, Chennai 600 100, IN
1 National Institute of Ocean Technology, Chennai 600 100, IN
Source
Current Science, Vol 113, No 04 (2017), Pagination: 774-781Abstract
Offshore wind provides a scalable alternative to conventional energy resources. It can be a potential source to meet the increasing energy demand in developing countries like India, for which an attractive policy framework is required. The aim of this study is to provide an insight for evolving onshore wind policy in India and suggest suitable strategies for development of offshore wind sector. Various wind resource maps were reviewed and potential sites identified as Rameswaram and Kanyakumari along Tamil Nadu coast. Suitability analysis was conducted to identify the type of wind turbine recommended at potential sites to achieve high plant load factor, considering the uncertainty in wind speeds. Commercial viability studies were carried out to identify appropriate incentives for development of offshore wind sector in India. Results indicate a levelized cost of energy of Rs 10.8 and Rs 9.6/Kwh at Rameswaram and Kanyakumari for an internal rate of return of 14%.Keywords
Commercial Viability, Offshore Wind Energy, Wind Potential Assessment.References
- European Wind Energy Association, The European offshore wind industry-key trends and statistics, 2014, 2015.
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- FOWIND, Offshore Wind Policy And Market Assessment, December 2014.
- Energy Next, http://www.energynext.in/japan-to-increase-its-offshore-wind-capacity-to-40-timesby-2020/, Energy Next, March 2013 (online).
- London Array, http://www.londonarray.com/wp-content/uploads/London-Array-Brochure.pdf, London Array, 2013 (online).
- A national offshore wind strategy: creating an offshore wind energy industry in the United States, US Department of Energy (DOE), February 2011.
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- Mani, A., Wind Energy Resource Survey in India III, Allied Publishers, New Delhi, 1997.
- Mani, A. and Mooley, D. A., Wind Energy Data for India, Allied Publishers, New Delhi, 1983.
- Earnest, J. and Wizelius, T., Wind Power Plant and Project Development, PHI Learning Private Limited, 2011.
- IRENA-GWEC, 30 Years of Policies for Wind Energy: Lessons from 12 Wind Energy Markets, International Renewable Energy Agency, UAE, 2013.
- Spratt, S., Dong, W., Krishna, C., Sagar, A. and Ye, Q., What Drives Wind and Solar Energy Investment in India and China? Evidence Report 87, 2014.
- Loy, D. and Gaube, J, Producing Electricity from Renewable Energy Sources: Energy Sector Framework in 15 Countries in Asia, Africa and Latin America, Deutsche Gesellschaft fur Technische Zusammenarbeit (GTZ) GmbH, Berlin, 2002.
- Soonee, S. K., Gar, M. and Prakash, S., Renewable energy certificate mechanism in India. In 16th National Power Systems Conference, 15–17 December 2010, Hyderabad.
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- Cwet, Riso DTU, The Indian Wind Atlas, Chennai, Centre for Wind Energy Technology, 2010.
- International Electrotechnical Commission, IEC 61400: Wind turbine – Part 3 design requirements for offshore wind turbines, Geneva, 2009.
- International Electrotechnical Commission, ‘IEC 61400: Wind turbine – Part 1 design requirement’, Geneva, 2005.
- Harikumar, R., Sabique, L., Balakrishnan Nair, T. M. and Shenoi, S. S. C., Report on the assessment of wind energy potential along the Indian coast for offshore wind farm advisories, Indian National Centre for Ocean Information Services, INCOIS-MOG&ISG-TR-2011-07, Hyderabad, 2011.
- Roeth, J., Wind Resource Assessment Handbook, New York State Energy Research and Development Authority, 2010.
- Ray, M. L., Rogers, A. L. and McGowan, J. G., Analysis of Wind Shear Models and Trends in Different Terrains, University of Massachusetts, Department of Mechanical & Industrial Engineering, Renewable Energy Research Laboratory, Amherst.
- Ernst, B. and Seume, J. R., Investigation of site-specific wind field parameters and their effect on loads of offshore wind turbines. Energies, 2012, 5, 3835–3855.
- Senvion, Complete Safety for Your Wind (online); available: http://www.senvion.com/windenergy-solutions/operation/service/onshore-maintenance/isp/isp/ (accessed 1 January 2015).
- Sanderse, B., Aerodynamics of Wind Turbine Wakes – Literature Review, Energy Research Centre of the Netherlands, 2009.
- Madariaga, A., Martínez de Ilarduya, C. J., Ceballos, S., Martínez de Alegría, I. and Martín, J. L., Electrical losses in multi-MW wind energy conversion systems. In International Conference on Renewable Energies and Power Quality, Spain, 2012.
- Olives Daxton, Analysing the effect of earthquake on wing turbine, MS thesis, Civil Engineering, Reykjavik University, June 2014.
- IS1893 (part I): 2002, Criteria for earth quake resistant design of structures, Bureau of Indian Standards, New Delhi.
- Dicorato, M., Forte, G., Pisani, M. and Trovato, M., Guidelines for assessment of investment cost for offshore wind generation. Renewable Energies, 2011, 36, 2043–2051.
- Bernd, M., Lixuan, H., Reinhard, L. and Frede, H., Evaluation of offshore wind resource by scale of development. Renewable Energy, 2012, 48, 314–322.
- Vamsidhar, K., Eshwarswaroop, D. A., Ayyappapreamkrishna, K. and Gopinath, R., Study and rate analysis of escalation in construction industry. J. Mech. Civil Eng., 2014, 11(2), 14–25.
- Indian Renewable Energy Development Agency, Financing norms and schemes, 26 July 2014 (online). available: http://www.ireda.gov.in/writereaddata/Financing%20Norms%20%20Schemes-%20_%2026%2007%202014.pdf (accessed 1 January 2015).
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- Marine Litter:Post-Flood Nuisance for Chennai Beaches
Abstract Views :316 |
PDF Views:91
Authors
Umakanta Pradhan
1,
Subrat Naik
1,
Mehmuna Begum
1,
S. Sujith Kumar
1,
Uma Sankar Panda
1,
Pravakar Mishra
1,
M. V. Ramana Murthy
1
Affiliations
1 National Centre for Coastal Research (NCCR), Ministry of Earth Sciences, Government of India, NIOT Campus, PaUikaranai, Chennai 600 100, IN
1 National Centre for Coastal Research (NCCR), Ministry of Earth Sciences, Government of India, NIOT Campus, PaUikaranai, Chennai 600 100, IN
Source
Current Science, Vol 115, No 8 (2018), Pagination: 1454-1455Abstract
Anthropogenic litter on the coastal beaches, sea surface and seabed has increased in the recent decades across global oceans1. Also, massive plastic production and usage have accumulated plastic waste of 4.8-12.7 million metric tonnes (MMT) annually2, posing a serious threat to marine ecosystem and beach aesthetics3. Recently, production and usage of plastic in India have increased manifold. Nearly 8 million tonnes of plastic products is being used annually, generating about 1.5 million tonnes of plastic waste with less than a quarter of it being collected and treated4. Marine litter originating from untreated urban sewage, tourism, fishing, ports and other activities usually finds its way to the coast through rivers, creeks and waterways. Hence, it becomes necessary to quantify the amount of solid waste that contributes towards polluting the coastal environment. Usually, after a spell of heavy rains, flooding of waterways causes huge amounts of garbage to pile up along the coastline. As a part of the coastal clean up programme under the aegis of the Swachh Bharat Abhiyan (Clean India Mission) campaign, an attempt was made to quantitatively and qualitatively assess the litter reaching Chennai beaches, so that the on-going management practices can be suitably adapted.References
- Ryan, P. G., In Marine Anthropogenic Litter (eds Bergmann, M., Gutow, L. and Klages, M.), Springer, Switzerland, 2015, pp. 1-25.
- Jambeck, J. R. et al., Science, 2015, 347, 768-771.
- Barnes, D. K. A., Galgani, F., Thompson, R. C. and Barlaz, M., Phi/os. Trans. R. Soc., 2009, 364, 1985-1998.
- Singh, P. and Sharma, V. P., Proc. Environ. Sci., 2016, 35, 692-700.
- Computed from report on ‘District wise daily/seasonal rainfall distribution for Tamil Nadu and Puducherry of date 11 November 2017’, India Meteorological Department, Government of India, Ministry of Earth Sciences, Regional Meteorological Centre, Chennai.
- Development of India’s First Integrated Expert Urban Flood Forecasting System for Chennai
Abstract Views :272 |
PDF Views:75
Authors
Subimal Ghosh
1,
Subhankar Karmakar
2,
Anamitra Saha
1,
Mohit Prakash Mohanty
3,
Shees Ali
1,
Satya Kiran Raju
4,
Vrinda Krishnakumar
1,
Maneesha Sebastian
1,
Manasa Ranjan Behera
1,
R. Ashrit
5,
P. L. N. Murty
6,
K. Srinivas
6,
B. Narasimhan
7,
Tune Usha
4,
M. V. Ramana Murthy
4,
P. Thiruvengadam
1,
J. Indu
1,
D. Thirumalaivasan
8,
John P. George
5,
S. Gedam
9,
A. B. Inamdar
9,
B. S. Murty
7,
P. P. Mujumdar
10,
M. Mohapatra
11,
Arun Bhardwaj
12,
Swati Basu
12,
Shailesh Nayak
13
Affiliations
1 Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
2 Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai 400 076, IN
3 Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
4 National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, IN
5 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, A-50, Sector-62, Noida 201 309, IN
6 Indian National Centre for Ocean Information Services, Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, IN
7 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN
8 Institute of Remote Sensing, Anna University, Chennai 600 040, IN
9 Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
10 Department of Civil Engineering, Indian Institute of Science, Bengaluru 560 012, IN
11 India Meteorological Department, New Delhi 110 003, IN
12 Office of the Principal Scientific Adviser to the Government of India, Vigyan Bhavan Annexe, Maulana Azad Road, New Delhi 110 011, IN
13 National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, IN
1 Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
2 Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai 400 076, IN
3 Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
4 National Centre for Coastal Research, NIOT Campus, Velacherry–Tambaram Main Road, Pallikaranai, Chennai 600 100, IN
5 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, A-50, Sector-62, Noida 201 309, IN
6 Indian National Centre for Ocean Information Services, Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, IN
7 Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, IN
8 Institute of Remote Sensing, Anna University, Chennai 600 040, IN
9 Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, IN
10 Department of Civil Engineering, Indian Institute of Science, Bengaluru 560 012, IN
11 India Meteorological Department, New Delhi 110 003, IN
12 Office of the Principal Scientific Adviser to the Government of India, Vigyan Bhavan Annexe, Maulana Azad Road, New Delhi 110 011, IN
13 National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 741-745Abstract
Floods are the most common and recurring natural hazards faced by humans since time immemorial. They pose a severe threat to the population, environment and economy in many places across the world, especially urban areas. Urbanization caused due to increasing migration into the floodplains has substantially increased the trend of devastation due to floods in a developing country like India. In Chennai and the surrounding suburban areas, torrential rainfall associated with low-pressure systems engulfed the city during December 2015, affecting more than 4 million people along with economic damages that cost around 3 billion USD.References
- Sarkar, A., Paromita Chakraborty, John P. George and Rajagopal, E. N., Report, NMRF/TR/02/2016, 2016; https://www.ncmrwf.gov.in/Reports-eng/NMRF_TR2_ 2016.pdf
- Shastri, H., Ghosh, S. and Karmakar, S., J. Geophys. Res. Atmos., 2017, 122(3), 1617–1634.
- Thiruvengadam, P., Indu, J. and Ghosh, S., Adv. Water Resour., 2019, 126, 24–39.
- Luettich Jr, R. A. and Westerink, J. J., Int. J. Numer. Methods Fluids, 1991, 12(10), 911–928; https://doi.org/10.1002/fld.1650121002.
- Mohanty, M. P., Sherly, M. A., Karmakar, S. and Ghosh, S., Water Resour. Manage., 2018, 32(14), 4725–4746.
- Simulated Wave Climate and Variability Over the North Indian Ocean
Abstract Views :241 |
PDF Views:82
Authors
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1746-1752Abstract
The wave parameters and long-term statistics of wave height are important parameters required for coastal/ offshore engineering design and analysis. The 20-year wave simulation has been carried out using MIKE-21 spectral wave model developed by the Danish Hydraulic Institute. The model was forced with the wind data from ECMWF operational archive wind data from 1998 to 2017. The MIKE C-MAP bathymetry data for less than 250 m depth in the North Indian Ocean and ETOPO1 for above 250 m depth were utilized for model bathymetry. The wave measurements available at various depths in the North Indian Ocean were utilized to validate model result. Wave parameters extracted at 27 locations at an interval of 1 degree at 25 m water depth were used for showing monthly variability of significant wave height, average wave period and mean wave direction. The extreme value analysis of significant wave height was carried out using Weibull analysis for 2, 5, 20 and 50 years return period. The maximum wave height of 5.7 m near Odisha coast in 50 years return period was calculated from the extreme value analysis.Keywords
Extreme Value Analysis, Numerical Model, Wave Direction, Wave Height, Wave Period.References
- Chandramohan, P., Sanilkumar, V., Nayak, B. U. and Anand, N. M., Wave Atlas for the Indian Coast, National Institute of Oceanography, Goa, 1991.
- Chin, T. M., Milliff, R. F. and Large, W. G., Basin-scale highwave number sea surface wind fields from multi-resolution analysis of scatterometer data. J. Atmos. Ocean Technol., 1998, 15, 741–763.
- Sterl, A. and Caires, S., Climatology, variability and extrema of ocean waves – the web-based KNMI/ERA-40 wave atlas. Int. J. Climatol., 2005, 25(7), 963–997; doi:10.1029/joc.1175.
- Taebi, S., Golshani, A. and Chegini, V., An approach towards wave climate study in the Persian Gulf and the Gulf of Oman: simulation and validation. J. Mar. Eng., 2008, 4(7), 2008.
- Zhang, H. M., Reynolds, R. W. and Bates, J. J., Blended and gridded high resolution global sea surface wind speed and climatology from multiple satellites: 1987 – Present. In 2006 Annual Meeting, American Meteorological Society, Atlanta, GA, 29 January–2 February 2006.
- Barstow, S. et al., World waves: fusion of data from many sources in a user-friendly software package for timely calculation of wave statistics in global coastal waters. In 13th International Offshore and Polar Engineering Conference, ISOPE2003, Honolulu, Hawaii, USA, 2003.
- Young, I. R. and Holland, G. J., Atlas of the Oceans: Wind and Wave Climate, Pergamon, 1996.
- Vethamony, P., Rao, L. V. G., Rajkumar, Sarkar, A., Mohan, M. Sudheesh, K. and Karthikeyan, S. B., Wave climatology of the Indian Ocean derived from altimetry and wave model. In PORESEC Proceedings, Goa, India, 5–8 December 2000, vol. 1, pp. 301–304.
- Sivakholundu, K. M., Jossia, K. and Jena, B. K., Wave Atlas of the Indian Coast, ESSO-NIOT, ISBN:81-901338-4-5.
- MIKE 21 Spectral Wave Model User Guide, 2011.
- Shore Protection Measures along Indian Coast – Design to Implementation Based on Two Case Studies
Abstract Views :240 |
PDF Views:85
Authors
M. V. Ramana Murthy
1,
Vijaya Ravichandran
1,
Mullai Vendhan
1,
A. S. Kiran
1,
Satya Kiran Raju
1,
Aruna Kumar Avula
1,
Shyamala Varthini
1,
T. Abhishek
1
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1768-1773Abstract
Coastal areas of the country are subjected to shoreline erosion due to natural and anthropogenic activities. Climate change-induced effects like sea level rise, extreme waves and increased storm activity exacerbate the erosion and causes the shoreline to retreat landwards. In India, mostly conventional concepts like sea walls and groins are used which protects the shoreline but cannot restore the lost beaches. This article discusses success stories of two novel concepts implemented for restoration of beach along the east coast of India – Kadalur Periyakuppam, a fishing village with gentle slope and Puducherry with steep slope protected by seawall.Keywords
Beach Restoration, Geo-Textile, Kadalur Village, Puducherry, Submerged Reef.References
- Durusoju, H. P. and Nandyala, D. K., Coastal erosion studies – a review. Int. J. Geosci., 2014, 5, 341–345.
- Natesan, U., Parthasarathy, A., Vishnunath, R., Edwin Jeba Kumar, G. and Vincent, A. F., Monitoring long term shoreline changes along Tamil Nadu, India using geospatial techniques. In International Conference on Water Resources, Coastal and Ocean Engineering, 2015, vol. 4, pp. 325–332.
- Kankara, R. S., Ramana Murthy, M. V. and Rajeevan, M., National assessment of shoreline changes along Indian Coast – A status report for 26 years 1990–2016, NCCR Publication, 2018.
- Sriganesh, J., Management of coastal erosion along Pondicherry Coast, India – EU Workshop III: Coastal Zone Management and Impacts on Society, 2014.
- Gummadi, A. K., Satya Kiran Raju, A. and Ramana Murthy, M. V., Estimation of nearshore wave climate along Pondicherry coast using numerical modelling, OSICON 2017, August 2017.
- Kiran, A. S., Vijaya, R. and Aruna, K. A., Design of an environmental friendly shore protection measure for Kadalur Periyakuppam, Tamil Nadu using hydrodynamic model studies. Indian J. Geo-Mar. Sci., 2014, 43(7), 1306–1310.
- Kiran, A. S., Prince, P. J., Vijaya, R. and Abhishek, T., Detached segmented submerged breakwater made of geosynthetic tubes for Kadalur Periyakuppam coast, Tamil Nadu: A sustainable shoreline management solution. Int. J. Earth Sci. Eng., 2016, 9, 2688–2694.
- Offshore Wind Projects for the Indian Coast – Experiences and Challenges for its Realization
Abstract Views :176 |
PDF Views:83
Authors
Satya Kiran Raju Alluri
1,
Devender Gujjula
1,
G. Dhinesh
1,
S. V. S. Phani Kumar
1,
M. V. Ramana Murthy
1
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1774-1777Abstract
Offshore wind energy is gaining significance around the world as the most suitable source of renewable energy. India, blessed with 7500 km of coastline has already announced the offshore wind energy policy based on feasibility studies for offshore wind potential. National Institute of Wind Energy (NIWE) and M/s Suzlon Energy Limited have installed first LiDAR-based offshore measurement platform with the technical expertise of the National Institute of Ocean Technology (NIOT), MoES in the Gulf of Khambhat and the Gulf of Kachchh. This article illustrates the analysis, design methodology and various innovative strategies involved in the installation of LiDAR-based measurement platforms.Keywords
Challenges, Installation, LiDAR Platform, Offshore Wind Energy.References
- Hawkes, P. J., Joint probability analysis for estimation of extremes. J. Hydr. Res., 2008, 46(S2), 246–256.
- Yeh, S. P., Ou, S. P., Doong, D. J., Kao, C. C. and Hsieh, D. W., Joint probability analysis of waves and water level during typhoons. In Proceedings of the Third Chinese–German Joint Symposium on Coastal and Ocean Engineering, November 2006.
- Gujjula, D., Alluri, S. K. R., Dhinesh, D., Panneer Selvam, R. and Ramana Murthy, M. V., Developing the installation methodology for monopile of offshore wind turbine in high tidal environment along Indian coast. In International Conference on Ocean Engineering, February 2018.
- Alluri, S. K. R., Gujjula, D., Krishnaveni, B., Ganapathi, D., Phanikumar, S. V. S., Ramana Murthy, M. V. and Atmanand, M. A., Offshore Wind Feasibility Studies in India, Stability Control and Reliable Performance of Wind Turbines, Intech Open, 2019.