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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Sustainable Energy T...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Sustainable Energy Technologies and Assessments
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Optimal design and economic analysis of a PV system operating under Net Metering or Feed-In-Tariff support mechanisms: A case study in Poland

Authors: Ryszard Górnowicz; Rui Castro;

Optimal design and economic analysis of a PV system operating under Net Metering or Feed-In-Tariff support mechanisms: A case study in Poland

Abstract

Abstract The paper focuses on the cost-effective design of a grid-connected rooftop photovoltaic (PV) system in Poland. The work aims to find the optimal system configuration, indicated by the highest Net Present Value (NPV), for the scenario of Net-Metering (NM) and Feed-In-Tariff (FIT) support mechanisms. PVsyst software was used to simulate the performance of various system sizes, tilts of the modules, as well as types and capacities of PV panels and inverters. Financial analysis was performed, by treating PV generation data in an economic evaluation model. At first, it was necessary to determine the building’s electricity demand, using the bottom-up method. Preliminary analysis, based on generic components, allowed to estimate the optimal size range of the system. Detailed simulations were later conducted in the specified ranges. Results of the simulation showed that the system capacity-optimized for NM was nearly twice bigger than for FIT, but the NM support system proves to be more beneficial, as it generates significantly larger NPVs. The sensitivity analysis showed that the three parameters most affecting the NPV of the systems studied were: electricity prices, the building's electricity demand, and capital expenditures.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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