Advertisement

Life Cycle Assessment of a 100 kWp Solar PV-Based Electric Power Generation System in India

  • N. Leela PrasadEmail author
  • P. Usha Sri
  • K. Vizayakumar
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

A solar PV-based electric power generation system may be used to exploit renewable energy from the sun in order to supplement the India’s growing need for electricity despite its inherent deficiencies, such as low conversion efficiencies, high capital cost, large land usage and seasonal variation in solar insolation as these techno-economic factors are expected to improve in future. This paper explores the energy performance and environmental impact assessment of a 100 kWp solar PV-based electric power generation system located in India with the help of embodied energy data available in the worldwide literature and by modeling and simulating an equivalent system on SimaPro 8.2 LCA software with ECOINVENT 3.0 as database. As part of this study, a detailed inventory analysis will be carried out on a multi-crystalline silicon (mc-Si) solar PV cell/module-based roof-top electric power generation system for the raw materials extracted, energy inputs used, energy output generated and the number of residuals consequently released to the environment. System’s energy performance results are usually expressed in the form of a widely used energy metric called energy payback time (EPBT). Further, the environmental impact assessment will cover an important category such as global warming potential (GWP). These LCA results help the policy makers and energy planners to compare various power generating options available in India and justify any planned investments in renewable energy sector so that the future demand for electricity is met in a more sustainable manner.

Keywords

Life cycle assessment (LCA) Net energy analysis (NEA) Embodied energy Global warming potential (GWP) Energy payback time (EPBT) Balance of system (BOS) 

References

  1. 1.
    International Organization for Standardization (ISO) series: ISO14040: 1997 Environmental Management—Life Cycle Assessment—Principles and FrameworkGoogle Scholar
  2. 2.
    Meier PJ (2002) Life-cycle assessment of electricity generation systems and applications for climate change policy analysis, PhD Dissertation, University of Wisconsin–MadisonGoogle Scholar
  3. 3.
    Marimuthu C, Kirubakaran V (2013) Carbon payback period for solar and wind energy project installed in India: a critical review. Renew Sustain Energy Rev 23:80–90CrossRefGoogle Scholar
  4. 4.
    Hammond G, Jones C (2011) Inventory of Carbon and Energy (ICE), Ver 2.0. Sustainable Energy Team, University of Bath, UKGoogle Scholar
  5. 5.
    du Can SR, Letschert V, McNeil M, Zhou N, Sathaye J (2009) Residential and Transport Energy Use in India: Past Trend and Future Outlook. Environmental Energy Technologies Division, Ernest Orlando Lawrence Berkeley National LaboratoryGoogle Scholar
  6. 6.
    System Construction and Materials Data, Novus Green Energy Systems, Hyderabad (2015)Google Scholar
  7. 7.
    Alsema EA, de Wild-Scholten MJ (2006) Environmental impacts of crystalline silicon photovoltaic module production. In: 13th CIRP International Conference on Life Cycle Engineering, LeuvenGoogle Scholar
  8. 8.
    ECOINVENT 3.0 Database. The Ecoinvent Centre, Swiss Centre for Life Cycle Inventories: Duebendorf, Switzerland (2015)Google Scholar
  9. 9.
    Muneer T, Asif M, Munawwar S (2005) Sustainable production of solar electricity with particular reference to the Indian economy. Renew Sustain Energy Rev 9:444–473CrossRefGoogle Scholar
  10. 10.
    Software SimaPro 8.2., PRé Consultants, Amersfoort, NL (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringVignan Institute of Technology and ScienceHyderabadIndia
  2. 2.Department of Mechanical EngineeringOsmania UniversityHyderabadIndia
  3. 3.Mechanical EngineeringBapatla Engineering CollegeBapatlaIndia

Personalised recommendations