Current Science

Open Access Open Access  Restricted Access Subscription Access

Analysis of future wind and solar potential over India using climate models


Affiliations
1 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India, India
2 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Center for Prototype Climate Modeling, New York University, Abu Dhabi 129188, UAE, India
 

Climate change is expected to impact future renewable energy production. Therefore, investors in this sector should understand and consider possible changes due to climate change. Here, we analyse the future wind and solar energy potential over the Indian landmass using climate model ensembles. Our analyses reveal that, in future, seasonal and annual wind speed is likely to decrease over North India and increase along South India. On the other hand, solar radiation is estimated to decrease (10–15 Wm–2) over the next 50 years during all seasons. With the estimated decrease in future wind and solar potential, expanded and more efficient networks of wind and solar farms are needed to increase renewable energy production.

Keywords

Blasting, Ground Vibration, Limestone Quarry, Peak Particle Velocity, Threshold Levels
User
Notifications
Font Size

  • Uysal, O., Erarslan, K., Cebi, M. A. and Akcakoca, H., Effect of barrier holes on blast induced vibration. Int. J. Rock Mech. Min. Sci., 2008, 45(5), 712–719.

  • Ozdemir, K., Kahriman, A., Tuncer, G., Akgundogdu, A., Elver, E. and Ucan, O. N., Fragmentation assessment using a new image processing technique based on adaptive neuro fuzzy inherence systems. In Proceedings of the Annual Conference on Explosives and Blasting Technique, International Society of Explosives Engineers, 2004, vol. 2, pp. 181–188.

  • Felice, J. J., Applications of modelling to reduce vibration and airblast levels. In International Symposium on Rock Fragmentation by Blasting, Vienna, 1993, pp. 145–151.

  • Tuncer, G., Kahriman, A., Ozdemir, K., Guven, S., Ferhatoglu, A. and Gezbul, T., The damage risk evaluation of ground vibration induced by blasting in Naipli Quarry. In Third International Conference Modern Management of Mine Producing, Geology and Environmental Protection, Varna, Bulgaria, 2003, pp. 9–13.

  • Erarslan, K., Uysal, Ö., Arpaz, E. and Cebi, M. A., Barrier holes and trench application to reduce blast induced vibration in Seyitomer coal mine. J. Environ. Geol., 2008, 54(6), 1325–1331.

  • Uysal, O. and Cavus, M., Effect of a pre-split plane on the frequencies of blast induced ground vibrations. Acta Montan. Slovaca, 2013, 18(2), 101–109.

  • Görgülü, K., Arpaz, E., Uysal, Ö., Durutürk, Y. S., Yüksek, A. G., Koçaslan, A. and Dilmaç, M. K., Investigation of the effects of blasting design parameters and rock properties on blast-induced ground vibrations. Arab. J. Geosci., 2015, 8(6), 4269–4278.

  • Amiri, M., Hasanipanah, M. and Amnieh, H. B., Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining. J. Neural Comput. Appl., 2020, 9, 1–9.

  • Zouari, H., Geodynamic evolution of centro meridional atlas of Tunisia. Stratigraphy, geometric analysis, cinematic and tectonosedimentary. Ph D thesis, University of Tunis II, Tunisia, 1995.

  • Görgülü, K., Arpaz, E., Demirci, A., Koçaslan, A., Dilmaç, M. K. and Yüksek, A. G., Investigation of blast-induced ground vibrations in the Tülü boron open pit mine. Bull. Eng. Geol. Environ., 2013, 72(3–4), 555–564.

  • Ozer, U., Kahriman, A., Aksoy, M., Adiguzel, D. and Karadogan, A., The analysis of ground vibrations induced by bench blasting at Akyol quarry and practical blasting charts. J. Environ. Geol., 2008, 54(4), 737–743.

  • Azizabadi, H. R., Mansouri, H. and Fouché, O., Coupling of two methods, waveform superposition and numerical, to model blast vibration effect on slope stability in jointed rock masses. J. Comput. Geotech., 2014, 61, 42–49.

  • Saadat, M., Khandelwal, M. and Monjezi, M., An ANN-based approach to predict blast-induced ground vibration of Gol-EGohar iron ore mine, Iran. J. Rock Mech. Geotech. Eng., 2014, 6(1), 67–76.

  • Ambraseys, N. N. and Hendron, A. J., In Dynamic Behaviour of Rock Masses, John Wiley, London, 1968.

  • Langefors, U. and Kihlström, B., The Modern Technique of Rock Blasting, John Wiley, New York, 1978, p. 438.

  • Ghosh, A. and Daemen, J. K., A simple new blast vibration predictor of ground vibrations induced predictor. In Proceedings of the 24th US Symposium on Rock Mechanics, Texas, USA, 1983.

  • Roy, P. P., Vibration control in an opencast mine based on improved blast vibration predictors. J. Min. Sci. Technol., 1991, 12(2), 157–165.

  • Singh, V. K., Singh, D. and Singh, T. N., Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks. Int. J. Rock Mech. Min. Sci., 2001, 38(2), 269–284.

  • Singh, T. N., Kanchan, R., Saigal, K. and Verma, A. K., Prediction of p-wave velocity and anisotropic property of rock using artificial neural network technique. Council of Scientific and Industrial Research, 2004.

  • Kosko, B., Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence, Prentice Hall, Englewood Cliffs, NJ, 1992, p. 449.

  • Meulenkamp, F. and Grima, M. A., Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness. Int. J. Rock Mech. Min. Sci., 1999, 36(1), 29–39.

  • Khandelwal, M. and Singh, T. N., Evaluation of blast-induced ground vibration predictors. J. Soil Dyn. Earthq. Eng., 2007, 27(2), 116–125.

  • Siskind, D. E., Structure, response and damage produced by ground vibration from surface mine blasting. US Department of the Interior, Bureau of Mines, New York, USA, 1980.

  • GSO, Vibrations in building construction. DIN 4150, German Standards Organization, Berlin, 1984.

  • Adhikari, G. R., Jain, N. K., Roy, S., Theresraj, A. I., Balachander, R., Venkatesh, H. S. and Rn, G., Control measures for ground vibration induced by blasting at coal mines and assessment of damage to surface structures. J. Rock Mech. Tunnel. Technol., 2006, 12(1), 3–19.

  • Abdel-Rasoul, E. I., Measurement and analysis of the effect of ground vibrations induced by blasting at the limestone quarries of the Egyptian cement company. ICEHM 2000, Cairo University, Egypt, 2000, pp. 54–71.

  • Dowding, C. H., Suggested method for blast vibration monitoring. Int. J. Rock Mech. Min. Geomech. Abstr., 1992, 29(2), 143–156.

  • Monjezi, M., Rizi, S. H., Majd, V. J. and Khandelwal, M., Artificial neural network as a tool for backbreak prediction. J. Geotech. Geol. Eng., 2014, 32(1), 21–30.

  • Zhongya, Z. and Xiaoguang, J., Prediction of peak velocity of blasting vibration based on artificial neural network optimized by dimensionality reduction of FA-MIV. J. Math. Prob. Eng., 2018,12.

  • Lawal, A. I. and Idris, M. A., An artificial neural network-based mathematical model for the prediction of blast-induced ground vibrations. Int. J. Environ. Stud., 2020, 77(2), 318–334.

  • Leondes, C. T., Neural network systems techniques and applications. In Advances in Theory and Applications, Academic Press, 1998.

  • Blackwell, W. J. and Chen, F. W., Neural Networks in Atmospheric Remote Sensing, Artech House, 2009, pp. 78–90.

  • Nicholls, H. R., Blasting vibrations and their effects on structures. US Department of the Interior, Bureau of Mines, 1971, pp. 656–660.

  • Rorke, A. J., Blasting impact assessment for the proposed new largo colliery based on new largo mine plan 6. J. AJR NL001 2011 Rev., 2011.

  • Aloui, M., Bleuzen, Y., Essefi, E. and Abbes, C., Ground vibrations and air blast effects induced by blasting in open pit mines: case of Metlaoui Mining Basin, south western Tunisia. J. Geol. Geophys., 2016, 5(3), 1–8.

  • Ak, H., Iphar, M., Yavuz, M. and Konuk, A., Evaluation of ground vibration effect of blasting operations in a magnesite mine. J. Soil Dyn. Earthq. Eng., 2009, 29(4), 669–676.

  • DGMS, Damage of structures due to blast induced ground vibrations in the mining area. Directorate General of Mines and Safety, Technical (S&T) Circular No. 7, 1997, pp. 9–12.


Abstract Views: 210

PDF Views: 133




  • Analysis of future wind and solar potential over India using climate models

Abstract Views: 210  |  PDF Views: 133

Authors

T. S. Anandh
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India, India
Deepak Gopalakrishnan
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Center for Prototype Climate Modeling, New York University, Abu Dhabi 129188, UAE, India
Parthasarathi Mukhopadhyay
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India, India

Abstract


Climate change is expected to impact future renewable energy production. Therefore, investors in this sector should understand and consider possible changes due to climate change. Here, we analyse the future wind and solar energy potential over the Indian landmass using climate model ensembles. Our analyses reveal that, in future, seasonal and annual wind speed is likely to decrease over North India and increase along South India. On the other hand, solar radiation is estimated to decrease (10–15 Wm–2) over the next 50 years during all seasons. With the estimated decrease in future wind and solar potential, expanded and more efficient networks of wind and solar farms are needed to increase renewable energy production.

Keywords


Blasting, Ground Vibration, Limestone Quarry, Peak Particle Velocity, Threshold Levels

References





DOI: https://doi.org/10.18520/cs%2Fv122%2Fi11%2F1268-1278