An Integrated Approach of AHP and TOPSIS for Optimum Selection of Renewable Energy Source

Authors

  • Monayem Parvej M.Tech. Scholar, Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India
  • Soupayan Mitra Associate Professor, Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India
  • Shankha Shubhra Goswami Ph.D. Research Scholar, Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Odisha, India https://orcid.org/0000-0002-0033-3089

Keywords:

AHP, TOPSIS, MCDM, renewable energy

Abstract

MCDM technique is a tool to take a decision among various criteria and sub criteria, which are often conflicting in manner. In many situations, like to select a product, process or strategy, it becomes quite complex to ascertain the best possible decision since the ‘decision’ may depend on a variety of factors having varying degree of importance and also, the deciding factors may have different degree of conflicts or, dependence among themselves. In the present investigation selection of best possible renewable energy source for power production is done considering different influencing factors having various degrees of preferences following AHP-TOPSIS Hybrid MCDM methodology. The factors considered are capital cost, energy generation magnitude, tariff cost, emission, efficiency, maintenance cost and land requirement. The validity of the obtained results is duly verified. The investigation, though considered with Indian data, can easily be applied for other countries as well. 

Author Biographies

Monayem Parvej, M.Tech. Scholar, Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

Monayem Parvej received his Bachelor of Technology in Mechanical Engineering from Techno India University, Saltlake Sector v, Kolkata. He is presently pursuing his Master of Technology in production technology and management from Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India. His area of interest includes Decision Making, Optimization.

Soupayan Mitra, Associate Professor, Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

Dr. Soupayan Mitra, PhD, an Associate Professor in the department of Mechanical Engineering of Jalpaiguri Government Engineering College, West Bengal, India has more than two decades of teaching and industrial experience in the field of thermal engineering and energy studies and has supervised a numbers of M. Tech. and two PhD scholars and also has published and presented a good quantity of papers in India and abroad journals and conferences. His current research interest includes thermal engineering, renewable energy applications and decision optimization studies.

Shankha Shubhra Goswami, Ph.D. Research Scholar, Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Odisha, India

Shankha Shubhra Goswami received his Diploma in Mechanical Engineering from Engineering Institute for Junior Executives, Dalalpukur, Howrah, West Bengal, India and Bachelor of Technology as well as Master of Technology in Mechanical Engineering from Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India. He is presently pursuing his PhD from Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India. His area of interest includes Operations Research, Decision Making, Optimization techniques

References

T.L. Saaty. The analytic Hierarchy Process. New York: McGraw-Hill, 1980. [2] S. Mitra, S. Kundu. 2017. Application of Analytic Hierarchy Process for Domestic Refrigerator Selection. International Journal of Emerging Technologies in Engineering Research (IJETER) 05(12):126–132.

S. Mitra, S.S. Goswami. 2019. Selection of the Desktop Computer Model by AHP-TOPSIS Hybrid MCDM Methodology. International Journal of Research and Analytical Reviews 6(1):784–790.

A. Jayant and J. Sharma. 2018. A Comprehensive literature Review of MCDM Techniques ELECTRE, PROMETHEE, VIKOR And TOPSIS Application in Business Competitive environment. International Journal of Current Research. 10(02):65464–77.

S. Mitra, S.S. Goswami. 2019. Application of Integrated MCDM Technique (AHP-SAW) for the Selection of Best Laptop Computer Model. International Journal for Research in Engineering Application & Management. 4(12):1–6.

S. Mitra, S.S. Goswami and M. Parvej. 2019. Selection of the Best Laptop Model by the Application of Fuzzy-AHP Methodology. i- manager’s Journal on Management. 14(1): 33–43.

N. Munier, E. Hontoria and F. Jiménez-Sáez. 2019. Strategic Approach in Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios. International Series in Operations Research & Management Science. Springer.

E. Triantaphyllou. 2000. Multi- Criteria Decision Making Methods: A Comparative Study. Applied Optimization series. Springer Science+Business Media Dordrecht 44.

Ministry of new and renewable energy. Available at: https://mnre.gov.in/sites/default/files/ uploads/faq_Geothermal_0.pdf [10] N.Y. Amponsah, M.T., B. Kington, I. Aalders, and R.L. Hough. 2014. Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations. Renewable and Sustainable Energy Reviews 39:461–75. http://dx.doi.org/10.1016/j.rser.2014. 07.087.

India Wind Energy. Available at: http://www.eai.in/ref/ae/win/win.html

Making money out of thin air. Available at: https://www.rediff.com/money/2006/ jan/12wind.htm

Ministry of new and renewable energy. Available at: https://mnre.gov.in/sites/default/files/ uploads/faq_Geothermal_0.pdf. [14] IRENA. Available at: https://www.irena.org//media/Files/I RENA/Agency/Publication/2019/Ma y/IRENA_Renewable-Power- Generations-Costs-in-2018.pdf.

Published

2021-02-27

Issue

Section

Articles