Performance assessment of state-owned electricity distribution utilities in India

Sarangi, Gopal K.; Pradhan, Abhilas Kumar; Taghizadeh–Hesary, Farhad

doi:10.1016/j.eap.2021.06.005

Cited by 5 publications

(1 citation statement)

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“…The global energy demand is increasing profusely due to the growing population and economic growth 1 . In a developing country like India, rapid industrialization, urbanization and the introduction of new programs such as the Saubhagya—Sahaj Bijil Har Ghar Yojna (2018), which aims to supply electricity to all villages in India 2,3 . The conventional electricity generation is mainly dependent on fossil fuels.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic studies on the variable compression ratio dual fuel diesel‐producer gas CI engine utilizing different biomass feedstocks

Percy

Edwin

2022

Env Prog and Sustain Energy

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In this study, a techno-economic analysis for a 3.75 kW biomass gasification power generation system (BMPGS) was conducted by exploiting available biomass resources such as rice husk, coconut shell, and rubber shell as feedstock. Payback time (PBT), net present value (NPV), and life cycle cost are the economic criteria that are delivered by an economic model for a BMPGS. Experimental results obtained on the technical parameters of a BMPGS, show that the rubber shell operated BMPGS has the highest overall efficiency (15.5%), maximum diesel savings (48%), and least biomass consumption (3.3 kg/h). Even though the capital cost of the producer gas driven dual fuel CI engine is higher than the standalone diesel genset power production system, it has the lowest running cost and cost savings per year, making it an excellent choice for power generation in remote locations. The rubber shell operated BMPGS system show a minimum PBT of 2.9 years which is desirable as the cost for installation of the proposed system can be regained within a short period of time. A positive NPV of Rs. 3,90,000 is attained for rubber shell, which clearly indicates in acceptance of rubber shell as biomass feedstock for BMPGS. The sensitivity analysis proves that the uncertainty in input parameters such as the cost of a biomass gasifier, dual fuel VCR engine, labor cost, and the cost of biomass feedstock influence the output parameters of the capital cost, operating cost, and PBT.

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Section: Introductionmentioning

confidence: 99%