Energy Payback Time and CO2 Emissions of 1.2 kWp Photovoltaic Roof-Top System in Brazil

Fukurozaki, Sandra Harumi; Zilles, Roberto; Sauer, Ildo Luís

doi:10.12720/sgce.2.2.164-169

Cited by 28 publications

(15 citation statements)

References 5 publications

(9 reference statements)

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“…The entire PV system life cycle (transport, operation, electric installation, construction and production phase) is considered to calculate the CO 2 emissions for solar panels. Previous studies have also obtained similar values when computing the entire CO 2 emissions for a PV system [66,67]. • Scenario 2: Solar Panels and batteries.…”

supporting

confidence: 55%

Eco-Sim: A Parametric Tool to Evaluate the Environmental and Economic Feasibility of Decentralized Energy Systems

et al. 2019

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Due to climate change and the need to decrease the carbon footprint of urban areas, there is an increasing pressure to integrate renewable energy and other components in urban energy systems. Most of the models or available tools do not provide both an economic and environmental assessment of the energy systems and thus lead to the design of systems that are sub-optimal. A flexible and modular simulation tool, Eco-Sim, is thus developed in the current study to conduct a comprehensive techno-economic and environmental assessment of a distributed energy system considering different configuration scenarios. Subsequently, an intermodel comparison is conducted with the Hybrid Optimization Model for Electric Renewable (HOMER) Pro as well as with a state-of-the-art industrial tool. Eco-Sim is then extended by including the heating demand, thermal conversion (by using heat pumps and solar thermal) methods and thermal storage. A parametric analysis is conducted by considering different capacities of solar photovoltaics (PV), solar thermal panels and energy storage technologies. The levelized cost of electricity, the autonomy level and the CO 2 emissions are used as the key performance indicators. Based on the analysis of a study case conducted in a neighbourhood in Geneva, Switzerland, the study reveals that, with the present market prices for batteries and seasonal changes in solar energy potential, the combination of solar PV with battery storage doesn’t bring a significant autonomy to the system and increases the CO 2 emissions of the system. However, the integration of thermal storage and solar thermal generation is shown to considerably increase the autonomy of the neighbourhood. Finally, multiple scenarios are also run in order to evaluate the sensitivity of economic parameters on the performance indicators of the system. Under the assumptions of the model, to foster investments in solar PV and battery installations, falling installation costs or stronger policies in favor of renewable energy seem necessary for the future.

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supporting

confidence: 55%

Eco-Sim: A Parametric Tool to Evaluate the Environmental and Economic Feasibility of Decentralized Energy Systems

et al. 2019

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“…Fukurozaki et al [26] examined a 1.2 kW p sc-Si PV (efficiency of the cell of 15.3%) mounted on a rooftop, in Brazil. The authors considered separately all processes, from metallurgical silicon grade (MG-Si) production to panel fabrication, including transportation, installation, and operation.…”

Section: First Generation Solar Cells Reviewmentioning

confidence: 99%

“…The impact associated with BOS can be negligible for the first generation PV because the impacts related to the production of the solar cells or modules were generally much higher: according to different studies, the impacts connected to BOS were lower in most of the impact categories. For example, considering GWP and CED [26], BOS had an impact of 46 kg CO 2eq (≈5% of total GWP) and 750 MJ eq (≈5% of total CED). In the work of Kim et al [27], GWP due to BOS was 5-7% (1.35-1.45 g CO 2eq /kWh) of the impact of PV module, and the same happened for the life cycle fossil fuel consumption.…”

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confidence: 99%

Review on Life Cycle Assessment of Solar Photovoltaic Panels

et al. 2020

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The photovoltaic (PV) sector has undergone both major expansion and evolution over the last decades, and currently, the technologies already marketed or still in the laboratory/research phase are numerous and very different. Likewise, in order to assess the energy and environmental impacts of these devices, life cycle assessment (LCA) studies related to these systems are always increasing. The objective of this paper is to summarize and update the current literature of LCA applied to different types of grid-connected PV, as well as to critically analyze the results related to energy and environmental impacts generated during the life cycle of PV technologies, from 1st generation (traditional silicon based) up to the third generation (innovative non-silicon based). Most of the results regarded energy indices like energy payback time, cumulative energy demand, and primary energy demand, while environmental indices were variable based on different scopes and impact assessment methods. Moreover, the review work allowed to highlight and compare key parameters (PV type and system, geographical location, efficiency), methodological insights (functional unit, system boundaries, etc.), and energy/environmental hotspots of 39 LCA studies relating to different PV systems, in order to underline the importance of these aspects, and to provide information and a basis of comparison for future analyses.

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“…Moreover, PV systems, for example, are scalable for applications ranging from watts to megawatts [54]. By 2050, it would be possible to meet around 20 percent of the current level of electricity demand in Switzerland through the use of 20 photovoltaic systems only [44].…”

Section: Introductionmentioning

confidence: 99%

“…The entire PV system life cycle (transport, operation, electric installation, construction and production phase) is considered to calculate the CO 2 emissions for solar panels. Previous studies [20,34] showed that the 225 entire CO 2 emissions for PV system is 702.5 kg/kWp. The CO 2 emissions can be multiplied with the capacity for a given scenario according to the Equation (6) over a lifetime of 20 years.…”

mentioning

confidence: 99%

A parametric tool to evaluate the environmental and economic feasibility of decentralized energy systems.

Siraganyan¹,

Mauree²,

Perera³

et al. 2018

Preprint

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A simulation tool is developed to make a comprehensive techno-economic and environmental assessment of a case study under different scenarios. Different capacity of solar and storage technologies are considered. The model calculates the levelized cost of electricity, the autonomy level and the CO 2 emissions. We demonstrate that the economic profitability of solar and battery system is in very good agreement with HOMER and the autonomy level is validated by using a simulation tool created by SI-REN. We show that combining solar PV with battery system doesn't bring additional autonomy to the model for Geneva considering the present market prices for batteries and seasonal changes in solar energy potential. The validated tool is then extended to include the thermal demand and generation by adding heat pumps and solar thermal. The availability of thermal storage at a large scale and the generation over a neighbourhood are shown to increase the autonomy of the neighbourhood. Finally, multiple scenarios are also run by changing the input parameters to perform a sensitivity analysis of these parameters on the performance of the model. Under the assumptions of the model, to foster investments in solar PV and battery installations, falling investments costs seem necessary for the future.

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Energy Payback Time and CO2 Emissions of 1.2 kWp Photovoltaic Roof-Top System in Brazil

Cited by 28 publications

References 5 publications

Eco-Sim: A Parametric Tool to Evaluate the Environmental and Economic Feasibility of Decentralized Energy Systems

Eco-Sim: A Parametric Tool to Evaluate the Environmental and Economic Feasibility of Decentralized Energy Systems

Review on Life Cycle Assessment of Solar Photovoltaic Panels

A parametric tool to evaluate the environmental and economic feasibility of decentralized energy systems.

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