Dataset for Assessing the Economic Performance of a Residential PV Plant: The Analysis of a New Policy Proposal
Abstract
:1. Summary
- The identification of data is a critical step in a green project.
- The collection of data is determined by literature analysis and can be replied in developed markets.
- The policy proposals significantly influence the economic model of a green project assigning a key-weight to values associated with these data.
- Both input data and the model are oriented to result in the economic assessment of a PV plant.
2. Data Description
- The identification of data according to literature analysis.
- The identification of data based on an expert panel.
- The definition of data elaborated by subjective considerations.
- Decree FER1 (Renewable Energy Source).
- Revival Decree.
3. Methods
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
- Masoudinejad, M. Data-sets for indoor photovoltaic behavior in low lighting conditions. Data 2020, 5, 32. [Google Scholar] [CrossRef] [Green Version]
- Eichhorn, M.; Scheftelowitz, M.; Reichmuth, M.; Lorenz, C.; Louca, K.; Schiffler, A.; Keuneke, R.; Bauschmann, M.; Ponitka, J.; Manske, D.; et al. Spatial distribution of wind turbines, photovoltaic field systems, bioenergy, and river hydro power plants in Germany. Data 2019, 4, 29. [Google Scholar] [CrossRef] [Green Version]
- D’Adamo, I.; Falcone, P.M.; Gastaldi, M.; Morone, P. The economic viability of photovoltaic systems in public buildings: Evidence from Italy. Energy 2020, 207, 118316. [Google Scholar] [CrossRef]
- D’Adamo, I.; Gastaldi, M.; Morone, P. The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants. Energy Policy 2020, 147, 111910. [Google Scholar] [CrossRef] [PubMed]
- Chiacchio, F.; Famoso, F.; D’Urso, D.; Cedola, L. Performance and Economic Assessment of a Grid-Connected Photovoltaic Power Plant with a Storage System: A Comparison between the North and the South of Italy. Energies 2019, 12, 2356. [Google Scholar] [CrossRef] [Green Version]
- Cerino Abdin, G.; Noussan, M. Electricity storage compared to net metering in residential PV applications. J. Clean. Prod. 2018, 176, 175–186. [Google Scholar] [CrossRef]
- Luthander, R.; Widén, J.; Munkhammar, J.; Lingfors, D. Self-consumption enhancement and peak shaving of residential photovoltaics using storage and curtailment. Energy 2016, 112, 221–231. [Google Scholar] [CrossRef]
- Talavera, D.L.; Muñoz-Cerón, E.; Ferrer-Rodríguez, J.P.; Pérez-Higueras, P.J. Assessment of cost-competitiveness and profitability of fixed and tracking photovoltaic systems: The case of five specific sites. Renew. Energy 2019, 134, 902–913. [Google Scholar] [CrossRef]
- Ramli, M.A.M.; Hiendro, A.; Sedraoui, K.; Twaha, S. Optimal sizing of grid-connected photovoltaic energy system in Saudi Arabia. Renew. Energy 2015, 75, 489–495. [Google Scholar] [CrossRef]
Acronym | Variable | Value |
---|---|---|
Acell | Active surface | 7 m2/kWp |
Unitary bonus (incentive) | 10–25–40 €/MWh | |
Cae | Administrative/electrical connection cost | 250 € |
Cinv,unit | Unitary investment cost | 1700–1900–2100 €/kW |
dEf | Decreased efficiency of a system | 0.7% |
inf | Rate of inflation | 2% |
infel | Rate of energy inflation | 1.5% |
kf | Optimum angle of tilt | 1.13 |
N | Lifetime of a PV system | 20 years |
Ndebt | Period of loan | 10 years |
NBonus | Period of bonus | 5–10 years |
NTaxD | Period of tax deduction | 5–10 years |
ƞbos | Balance of system efficiency | 85% |
ƞf | Number of PV modules to be installed | function of S |
ƞm | Module efficiency | 16% |
pc | Electricity purchase price | 17–19–21 cent€/kWh |
PCass | Percentage of assurance cost | 0.4% |
PCi | Percentage of inverter cost | 15% |
PCm | Percentage of maintenance cost | 1% |
PCtax | Percentage of taxes cost | 40% |
pf | Nominal power of a PV module | function of S |
ps | Electricity selling price | 0–6 cent€/kWh |
r | Opportunity cost of capital | 5% |
rd | Interest rate on a loan | 3% |
S | Plant size | 3 kW |
tr | Average annual insolation | 1300–1450–1600 kWh/m2 × y |
TaxDu | Unitary tax deduction | 36%–50%–110% |
Vat | Value added tax | 10% |
wself,c | Percentage of energy self-consumption | 0%–10%–20%–30%–40%–50%–60%–70%–80%–90%–100% |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
D’Adamo, I.; Gastaldi, M.; Morone, P. Dataset for Assessing the Economic Performance of a Residential PV Plant: The Analysis of a New Policy Proposal. Data 2020, 5, 101. https://doi.org/10.3390/data5040101
D’Adamo I, Gastaldi M, Morone P. Dataset for Assessing the Economic Performance of a Residential PV Plant: The Analysis of a New Policy Proposal. Data. 2020; 5(4):101. https://doi.org/10.3390/data5040101
Chicago/Turabian StyleD’Adamo, Idiano, Massimo Gastaldi, and Piergiuseppe Morone. 2020. "Dataset for Assessing the Economic Performance of a Residential PV Plant: The Analysis of a New Policy Proposal" Data 5, no. 4: 101. https://doi.org/10.3390/data5040101