Open Access
Table 1
Literature summary related to life cycle costing.
Ref | Data source | Duration of data | Number of plants studied | Specification | Parameters considered | Major findings |
---|---|---|---|---|---|---|
[10] | Bangladesh’s subdistricts of Paba in the Rajshahi district and Kalihati, Ghatail, and Bhuapur in the Tangail district | 2016–2017 | 20 | 40, 50, 65, 75, 85 Wp | Energy payback time, cost payback period | 6.53 and 7.57 years energy payback time, cost payback period 2.55–4.03 years |
[29] | Rajasthan, Tamil Nadu, Gujarat, Andhra Pradesh, Karnataka, and New Delhi | 2010–2020 | 06 | 3.3 MW, 1 MW, 10 MW, 15 MW, 10 MW, 5 MW | LCOE, LCE, LCC | The project’s payback duration is less than 8 years, and it depends on the initial investment and the Power Purchase Agreement (PPA) rate. Techno-economic viability is strong in India. |
[13] | ISO standards-based advice obtained from China’s typical photovoltaic enterprises | single | 200 Wp multi-crystalline silicon (multi-Si) m | Energy payback time and primary energy demand (EPBT) | Best-suited areas in China were proposed for installation. | |
[12] | Building rooftop in Singapore | 1 year | 36 | 2.7 kWp, monocrystalline | LCA, EPBT, LCCA | Fossil energy use and GHG emission factors were taken into account for LCA and LCCA |
[11] | Malaysia | 30 years | – | 100 kWp CdTe PV (cadmium telluride photovoltaic) | Potential for global warming, use of fossil fuels, energy payback period, and CO2 payback period | There is a 0.94-year energy payback time and a 0.76-year CO2 payback time. The CdTe PV system has a higher energy return on investment than the Si system, and environmental factors are taken into account in the life cycle assessment. |
[37] | China company, literature | – | – | mcSi | Environmental impact | Environmental impact: the shift in environmental impacts linked to the export of Chinese photovoltaic modules made of multi-crystalline silicon is considered. |
[38] | 2 years | – | 3 kWp rooftop silicon PV plant | Repowering time (ecotoxicity, freshwater, land and resource usage, minerals, metals, climate change) | For the PV installations under investigation, the optimal repowering period is estimated to be between 15 and 21 years on average. | |
[9] | Southern India is warm and humid | 1 year | 3,773 panels | 1 MW rooftop, mono-crystalline | LCCA, net present value (NPV), internal rate of return (IRR), simple payback period (SPP), and discounted payback period (DPP) | The payback period lengthens by 70–120%, and the actual power generated is roughly one-third less than ideal. |
[8] | Iran (Tehran and Bandar Abbas) | – | – | 3 kWp, Taiwan, polycrystalline | LCCA based on the payback period | The PV system’s payback period is mostly influenced by its maintenance expenses; when current power rates and initial costs are taken into account, the payback period of PV systems is longer than their technical life span. |
[39] | Phoenix, Arizona | 7700 | c-Si | Energy payback time | Environmental indicators such as emissions, land transformation, and water withdrawal were investigated in terms of LCC. | |
[40] | Field data from the Indian industry | 20 | m-Si, p-Si | GHG emission rate, energy return on investment (EROI), and energy payback time (EPBT) | Three phases of solar PV systems are considered: production, construction, and operation. | |
[34] | Solar plant in Bhubaneswar | 1 year | 80 panels | 30.24 kW | Payback period | A machine learning model for solar power prediction was developed, and the LCC of the rooftop plant was calculated. |
[29] | Solar plants in Karnataka, Gujarat, Andhra Pradesh, Tamil Nadu, New Delhi and Rajasthan | – | 6 panels | 3.3 MW, 1 MW, 10 MW, 15 MW, 10 MW | Payback period | For a project with a life cycle of about 25 years, the payback period is usually shorter than 8 years. |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.