Abstract
Renewable energy sources are mainly used in the electrical sector. Electricity is not a storable commodity. Hence, it is necessary to produce the requested quantity and distribute it through the system in such a way as to ensure that electricity supply and demand are always evenly balanced. This constraint is actually the main problem related to the penetration of new renewables (wind and photovoltaic power) in the context of complex energy systems. The paper analyzes some aspects in connection with the problem of new renewable energy penetration. The case of Italian scenario is considered as a meaningful reference due to the characteristic size and the complexity of the same. The various energy scenarios are evaluated with the aid of a multipurpose software taking into account the interconnections between the different energetic uses. In particular, it is shown how the penetration of new renewable energies is limited at an upper level by technological considerations and it will be more sustainable if an integration of the various energy use (thermal, mobility and electrical) field will be considered.
Similar content being viewed by others
Abbreviations
- C ICE :
-
Internal combustion engine vehicles consumption as km/kWh
- C elv :
-
Electric vehicles consumption as km/kWh
- E ind :
-
Primary energy consumption in industrial sector
- E t :
-
Industrial thermal energy demand
- E tr :
-
Primary energy consumption for internal combustion engines vehicles
- E TP :
-
Primary energy consumption in conventional thermal plants
- ElecCHP :
-
Electricity from CHP plants
- ElecRH :
-
Electric energy produced by river hydropower plants
- ElecIR :
-
Electric energy produced by intermittent renewable
- ElecPV :
-
Electric energy produced by photovoltaic plants
- ElecWIND :
-
Electric energy produced by wind power plants
- f :
-
Objective function
- g :
-
Inequality constraints
- h :
-
Equality constraints
- p :
-
Parameters
- P grid :
-
Power required on the grid
- s :
-
Kilometers of traffic by internal combustion engine vehicles substituted by electric vehicles
- x, y, w:
-
Variables
- X, Y, W:
-
Vector of variables
- Δelv :
-
Additional energy saving due to the introduction of electric vehicles
- ΔE elv,tot :
-
Overall energy saving due to the introduction of electric vehicles
- ΔCHP :
-
Loss of energy saving in cogeneration scenario
- ΔE elv :
-
Energy saving due to greater efficiency of electric vehicles compared to internal combustion engines
- η E :
-
Mean efficiency of the plants connected to the electric grid
- η t :
-
Conventional thermal energy production efficiency
- η E,CHP :
-
CHP electrical efficiency
- η t,CHP :
-
CHP thermal efficiency
- AEEG:
-
(Italian)authority for electric energy and gas
- CAES:
-
Compressed air energy storage
- CEEP:
-
Critical excess energy production
- CHP:
-
Combined heat and power (industrial cogeneration)
- DH:
-
District heating
- EEEP:
-
Exportable excess electricity production
- EU:
-
European union
- IR:
-
Intermittent renewables
- PES:
-
Primary energy saving
- PV:
-
Photovoltaic
- RES:
-
Renewable energy sources
- RH:
-
River hydropower plants
- T.E.:
-
Thermoelectric (power plants)
- GW:
-
=109 W
- MW:
-
=106 W
- KWh:
-
=3.6 MJ
- Tpe:
-
Tonns of oil equivalent primary energy (1 Tpe = 41.86 GJoules)
References
Campoccia, A., Dusonchet, L., Telaretti, E., & Zizzo, G. (2009). Comparative analysis of different supporting measures for the production of electrical energy by solar PV and Wind systems: Four representative European cases. Solar Energy, 83, 287–297.
Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010). A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 87, 1059–1082.
Energy Information Agency. (2009). International energy outlook 2009. OE/EIA-0484(2009) available on the web at www.eia.doe.gov/oiaf/ieo/index.html (Accessed July 2010).
ENEA. (2009). Italian energy and environment report, 2007–2008, available on the web at http://www.enea.it/produzione_scientifica/volumi/REA_2007/REA2007_Dati_Prima.html#nazionali (Last Accessed July 2010).
Fthenakis, V., Mason, J. E., & Zweibel, K. (2009). The technical, geographical, and economic feasibility for solar energy to supply the energy needs of the US. Energy Policy, 37, 387–399.
Frangopoulos, C., von Spakovsky, M., & Sciubba, E. (2002). A brief review of methods for the design and synthesis optimization of energy systems. International Journal of Applied Thermodynamics, 5, 151–160.
Greenblatt, J. B., Succar, S., Denkenberger, D. C., Williams, R. H., & Socolow, R. H. (2007). Baseload wind energy: Modeling the competition between gas turbines and compressed air energy storage for supplemental generation. Energy Policy, 35, 1474–1492.
Henning, D. (1997). MODEST—An energy-system optimisation model applicable to local utilities and countries. Energy, 22, 1135–1150.
Hoogwijk, M., van Vuuren, D., de Vries, B., & Turkenburg, W. (2007). Exploring the impact on cost and electricity production of high penetration levels of intermittent electricity in OECD Europe and the USA, results for wind energy. Energy, 32, 1381–1402.
Lund, H., & Clark, W. W. (2002). Management of fluctuations in wind power and CHP comparing two possible Danish strategies. Energy, 27, 471–483.
Lund, H. (2005). Large-scale integration of wind power into different energy systems. Energy, 30, 2402–2412.
Lund, H. (2009). Renewable energy systems—The choice and modeling of 100% renewable solutions. Burlington: Elsevier.
Østergaard, P. A. (2008). Geographic aggregation and wind power output variance in Denmark. Energy, 33, 1453–1460.
Salg, G., & Lund, H. (2008). System behaviour of compressed-air energy-storage in Denmark with a high penetration of renewable energy sources. Applied Energy, 85, 182–189.
Salza, P. (2010). Strategies for optimization of energy production and utilization systems in presence of meaningful penetration of renewable energies, Master Thesis in Energy Engineering, University of Pisa, Italy (in Italian). http://etd.adm.unipi.it/theses/available/etd-01182010-140621/ (Accessed August 2010).
Stadler, I. (2008). Power grid balancing of energy systems with high renewable energy penetration by demand response. Utilities Policy, 16, 90–98.
Terna Sp.A. (2010a). Electric system. Statistical data on electricity synthesis in Italy 2008: Gross maximum capacity of power plants in major countries of the world at 31 December 2007. http://www.terna.it/LinkClick.aspx?fileticket=7sOZrtBJvzE%3d&tabid=811 (Accessed April 2010).
Terna S.p.A. (2010b). Electric system. Statistical data on electricity synthesis in Italy 2008: Loads of Italian Electric Power System. http://www.terna.it/LinkClick.aspx?fileticket=E80QiIDTCdE%3d&tabid=811 (Accessed April 2010).
Wille-Haussmann, B., Erge, T., & Wittwer, C. (2010). Decentralised optimisation of cogeneration in virtual power plants. Solar Energy, 84, 604–611.
Author information
Authors and Affiliations
Corresponding author
Additional information
Readers should send their comments on this paper to BhaskarNath@aol.com within 3 months of publication of this issue.
This article has been retracted by the Editor-in-Chief due to severe and unexplained overlap in text and figures with “Strategies for optimal penetration of intermittent renewables in complex energy systems based on techno-operational objectives,” (Received 29 April 2010, Accepted 28 July 2010, Available online 21 August 2010), an article authored by Franco and Salza in Elsevier’s journal Renewable Energy. The articles were submitted to and under review by both Environment, Development, and Sustainability and Renewable Energy during overlapping periods, which violates the ethics policies of both journals. The article in Renewable Energy will remain in publication as the version of record.
An erratum to this article can be found online at http://dx.doi.org/10.1007/s10668-015-9726-y.
About this article
Cite this article
Franco, A., Salza, P. RETRACTED ARTICLE: Perspectives for the long-term penetration of new renewables in complex energy systems: the Italian scenario. Environ Dev Sustain 13, 309–330 (2011). https://doi.org/10.1007/s10668-010-9263-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10668-010-9263-7