Potential Zones Identification to Effectively Exploit Solar and Wind Energy in the State of Assam-A MCDA Approach Using GIS and Remote Sensing

被引:0
|
作者
Raj, P. Taniya [1 ]
Prasad, N. S. R. [2 ]
机构
[1] Cent Univ Karnataka, Kalaburagi, India
[2] NIRDPR, Hyderabad, India
关键词
MCDA-Multiple-Criteria Decision Analysis; AHP-Analytic Hierarchy Process;
D O I
10.1007/978-981-99-8568-5_30
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
With the frequent coal shortages, increased demand and rising global warming comes the need to switch to renewable sources of energy. Assam being rich in terms of Solar and Wind potential, the untapped energy needs to be harnessed in a sustainable manner. In this study the requirements for solar to produce maximum possible output will be understood and using the tools of GIS the best locations for solar and wind system installation will be found using the criterions for efficient harnessing of renewable energy. In order to accomplish this, 10 different criterions for Solar are considered that include Horizontal Irradiance, Average Annual Temperature, Distance from Power Transmission Lines, Distance from Residential Area, Elevation, Slope, Average Annual Cloud Cover, Humidity, Aspect. Similarly, for Wind 7 different criterions are considered which includes Wind Speed, distance from power transmission lines, Distance from Roads, Distance from Residential Area, Slope, Distance from Airports, Bird Sites. By performing weighted overlay analysis using AHP model, the suitable areas are defined and undesirable regions are excluded from suitability map for both Wind and Solar results.
引用
收藏
页码:409 / 425
页数:17
相关论文
共 50 条
  • [1] Potential zones identification for harvesting wind energy resources in desert region of India - A multi criteria evaluation approach using remote sensing and GIS
    Jangid, Jayant
    Bera, Apurba Kumar
    Joseph, Manoj
    Singh, Vishal
    Singh, T. P.
    Pradhan, B. K.
    Das, Sandipan
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 65 : 1 - 10
  • [2] Identification of groundwater potential zones of Idukki district using remote sensing and GIS-based machine-learning approach
    Khan, Zohaib Ahmed
    Jhamnani, Bharat
    WATER SUPPLY, 2023, 23 (06) : 2426 - 2446
  • [3] Identification of Groundwater Potential Zones using Remote Sensing and GIS of K-J Watershed, India
    B. S. Chaudhary
    Sanjeev Kumar
    Journal of the Geological Society of India, 2018, 91 : 717 - 721
  • [4] Identification of Groundwater Potential Zones in Sri Lanka Using Arial Photography,Remote Sensing and GIS Techniques
    Ashvin Wickramasooriya
    地学前缘, 2009, (S1) : 2 - 3
  • [5] Identification of Groundwater Potential Zones using Remote Sensing and GIS of K-J Watershed, India
    Chaudhary, B. S.
    Kumar, Sanjeev
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2018, 91 (06) : 717 - 721
  • [6] Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya, Jammu and Kashmir
    Junaid Qadir
    M. Sultan Bhat
    Akhtar Alam
    Irfan Rashid
    GeoJournal, 2020, 85 : 487 - 504
  • [7] Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya, Jammu and Kashmir
    Qadir, Junaid
    Bhat, M. Sultan
    Alam, Akhtar
    Rashid, Irfan
    GEOJOURNAL, 2020, 85 (02) : 487 - 504
  • [8] Estimation of Hong Kong's solar energy potential using GIS and remote sensing technologies
    Wong, Man Sing
    Zhu, Rui
    Liu, Zhizhao
    Lu, Lin
    Peng, Jinqing
    Tang, Zhaoqin
    Lo, Chung Ho
    Chan, Wai Ki
    RENEWABLE ENERGY, 2016, 99 : 325 - 335
  • [9] LithoSFR Model for Mapping Groundwater Potential Zones Using Remote Sensing and GIS
    Shaban, Amin
    Farhat, Nasser
    El-Hage, Mhamad
    Fadel, Batoul
    Sheib, Ali
    Bitar, Alaa
    Darwish, Doha
    WATER, 2024, 16 (14)
  • [10] Identification of Groundwater Potential Zones of a Tropical River Basin (Kerala, India) Using Remote Sensing and GIS Techniques
    Sabu Preeja K. R.
    Jobin Joseph
    Journal of the Indian Society of Remote Sensing, 2011, 39 : 83 - 94