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Site Suitability Analysis of Solar Energy Plants in Stony Wasteland Area: A Case Study of Trans-Yamuna Upland Region, Allahabad District, India

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Abstract

Installation of solar power plant units in wasteland areas is not only helpful for land resource management but also expected to create some job opportunities for the local population, infrastructure development, water resource conservation and energy revenue generation. In the present study, the suitable region for installation of the solar PV power plant is identified through the AHP method in combination with cost distance function by considering existing infrastructure in the Trans-Yamuna upland region of Allahabad District. Research finding indicates that it has an insolation value of 1194–1859 h of the sunshine and 498.16–703.73 kW h/m2/day of solar radiation. Thus, the total capacity of the study region is 6263.71 MW (126.74 km2) if 1 km2 area has installed capacity of 49.42 MW, which is further validated with Jalaun Solar Power Plant (Uttar Pradesh) and Bhadla Power Plant (Rajasthan) having 50 MW and 1365 MW solar capacity with an area of 1.012 km2 and 40 km2, respectively. The actual project cost ranges from ₹ 0.04 to 0.1 billion, and the range of difference between the actual and estimated cost is ₹ ± 0.03 billion, while the estimated project cost is ₹ 0.06 billion. Thus, it shows a good comparison agreement between the actual and estimated project cost, and further the present methodology could be useful to install the solar PV power plant in other regions as well.

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References

  • Carrion, A. J., Estrella, E. A., Dols, A. F., Toro, Z. M., Rodriquez, M., & Ridao, R. A. (2008). Environmental decision-support systems for evaluating the carrying capacity of land areas: optimal site selection for grid-connected photovoltaic power plants. Renew Sustain Energy Rev,12, 2358–2380.

    Article  Google Scholar 

  • Georgiou, A., & Skarlatos, D. S. (2016). Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems.

  • Kontos, Th, Komilis, D., & Halvadakis, K. (2005). Sitting MSW landfills with a spatial multiple criteria analysis methodology. Waste Manag,25, 818–832.

    Article  Google Scholar 

  • Kumar, B. S., & Sudhakar, K. (2015). Performance evaluation of 10 MW grid-connected solar photovoltaic power plant in India. Energy Rep,1(2015), 184–192.

    Article  Google Scholar 

  • Mishra, D., & Singh, B. N. (2017). Classification and assessment of land use land cover in Trans-Yamuna upland region of Allahabad District using Sentinel-2 satellite imagery. In Conference paper, 38th Asian conference on remote sensing—space application: Touching human lives, ACRS.

  • Perzina, R., & Jaroslave, R. (2013). DAME-microsoft excel add-in for solving multicriteria decision problems with scenarios.

  • Physical Progress-Achievements. (2018). Ministry of New & Renewable Energy, 2018. Retrieved July 18, 2018.

  • Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation (p. 287). New York: McGraw-Hill.

    Google Scholar 

  • Saaty, T. L. (1996). Decision making with dependence and feedback, the analytic network process. Pittsburgh: RWS Publications.

    Google Scholar 

  • Saaty T. L. (1999). Fundamentals of the analytic network process. In International symposium of the analytic hierarchy process (ISAHP), Kobe, Japan.

  • Saaty, T. L. (2004). Fundamentals of the analytic network process—Multiple networks with benefits, costs, opportunities, and risks. Journal of Systems Science and Systems Engineering,13(3), 348–379.

    Article  Google Scholar 

  • Tegou, L. I., Polatidis, H., & Haralambopoulos, D. (2010). Environmental management framework for wind farm sitting: Methodology and case study. Journal of Environmental Management,91, 2134–2147.

    Article  Google Scholar 

  • The share of Solar Rises to 7.46% of India’s Total Installed Power Capacity, 2018. Retrieved October 18, 2018.

  • Tisza, K. (2014). GIS-based suitability modeling and multi-criteria decision analysis for utility scale solar plants in four states in the Southeast USA. All Theses Paper 2005.

  • Tsang, Y. K. (2016). Site suitability analysis: Small-scale fixed axis ground mounted photovoltaic power plants in Fresno, CA.

  • Uttar Pradesh solar power policy. (2017). Department of Additional Sources of Energy, Government of Uttar Pradesh, Uttar Pradesh New & Renewable Energy Development Agency. http://www.upneda.org.in.

  • http://www.suncyclopedia.com.

  • Solar power project list, Department of Economic Affairs, PPP cell, Infrastructure Division, https://www.pppinindia.gov.in.

Download references

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Correspondence to Deeksha Mishra.

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Appendices

Appendix 1

 

Estimate for construction of CC road

     
 

(Estimate based on CG PWD ROAD 2013)

     

SOR No.

Particulars of items

L*B

Qty.

Unit

Rate

Amount

4.1(A)b.1

Granular subbase as per table: 400-1 Construction of granular subbase by providing graded material, carriage of mixed material to work site spreading in uniform layers with motor grader of prepared surface watering, rolling and compacting with vibratory power roller at OMC to achieve the desired density complete as per clauses 401. Plant mix method (with mechanically crushed stones only) For subbase-cum-drainage layer or upper subbase with Grading V Material

1500 * 6.1

1647

Cum

1372

2,259,684

4.10

Wet mix macadam (providing, laying, spreading and compacting graded stone aggregate to wet mix macadam specification including premixing the material with water at OMC in mechanical mix plant carriage of mixed material by tipper to site, laying in uniform layers with paver in subbase/base course on well-prepared surface and compacting with vibratory roller to achieve the desired density as per clause 406)

1500 * 5.7

1282.5

Cum

1434

1,839,105

5.1(i)

Prime coat (providing and applying primer coat with oil-based bitumen emulsion (SS-1, grade confirming to IS-8887) on prepared surface of granular base including clearing of road surface and spraying primer using mechanical means as per clause 502. (i) on WBM/WMM surface@0.85 kg/sqm

1500 * 6.1

8250

Sqm

64

528,000

5.2(ii)

Tack coat: providing and applying tack coat with bitumen emulsion (RS-1, grade confirming to IS-8887) using emulsion pressure distributor on the prepared bituminous/granular surface cleaned with mechanical broom and as per clause 503. (iii) Granular surfaces treated with primes @ 0.30 kg/Sqm

1500 * 5.5

8250

Sqm

17

140,250

5.4 B(i)

Dense bituminous macadam (providing and laying dense bituminous macadam with minimum 40–50 TPH capacity HMP using crushed aggregates of specified grading, premixed with bituminous binder @ 4.0–4.5% by weight of total mix of mix and filter, transporting the hot mix to work site, laying with a hydrostatic paver finisher to the required grade, level and alignment, rolling with smooth-wheeled, vibratory and tandem rollers to achieve the desired compaction as per MORTH specification clause No. 505 complete in all respects.) With mechanical paver finisher (i) for Grading I (37.5 mm nominal size, bitumen content 4.0%)

1500 * 5.5

453.75

Cum

7269

3,298,309

5.5 (B) (i)

Bituminous concrete (providing and laying bituminous concrete with minimum 40–60 TPH capacity hot mix plant using crushed aggregates of specified grading, premixed with bituminous binder @ 5.0–6.0% by weight of total mix of mix and filler, transporting the hot mix to work site, laying with a hydrostatic paver finisher with sensor control to the required grade, level and alignment, rolling with smooth-wheeled, vibratory and tandem rollers to achieve the desired compaction as per MORTH specification clause No. 507 complete in all respects)

With mechanical paver finisher (i) for Grading I (19 mm nominal size) with bitumen 5.5%

1500 * 5.5

247.5

Cum

9282

2,297,295

3.12

Construction of embankment with material obtained from borrow pits/borrow area (construction of embankment with approved material/selected soil having CBR > 5 (unless specified otherwise in the contract) obtained from borrow pits with all lifts and leads, transporting to site, spreading, grading to required slope and compacting to meet requirement of table 300-2)

1500 * (10.04 + 8.50)/2

1254.68

Cum

223

279,793

4.13(B)

Construction of shoulders (construction of shoulders as per clause 408 with selected soil from borrow pits/borrows area having CBR not less than 12 and shall have LL and PI not more than 25% and 6%, respectively, inclusive of all leads and lifts, including clearing and scrapping of existing surface, providing required cross fall, compacting, watering, rolling and royalty charges, etc., complete. With smooth-wheeled roller

1500*(1.80 + 1.50)/2

742.5

Cum

277

205,673

3.11

Scarifying existing bituminous surface to a depth of 50 mm (scarifying the existing bituminous road surface to a depth of 50 mm and disposal of scarified material with all lifts and lead up to 1000 meters) as per clause 305.4.3

140 *3

420

Sqm

23

9660

 

Estimated cost for 1.50-KM road (in ₹)

    

10,857,769

 

Estimated cost for 1.00-KM road (in ₹)

    

7,238,513

 

Estimated cost for 1.00-KM road (₹ in Lakh)

    

72.39

Appendix 2

See Table 6.

Table 6 Abstract of schedule of rates for 2014–2015: cost data per km of 33/11 kV/LT lines

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Mishra, D. Site Suitability Analysis of Solar Energy Plants in Stony Wasteland Area: A Case Study of Trans-Yamuna Upland Region, Allahabad District, India. J Indian Soc Remote Sens 48, 659–673 (2020). https://doi.org/10.1007/s12524-020-01111-w

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