Back to Search
Start Over
Decentralized generation in urban districts: Optimal planning considering uncertainties
- Source :
- 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper proposes a decision model for the planning of decentralized energy production in urban areas. The approach aims at finding the optimal mix and sizing of the generation units to be installed in a number of sites, given the characteristics of each location in terms of radiation, wind potential, electrical and thermal loads, etc. Both dispatchable and renewable (non-dispatchable) energy sources are taken into account; in particular, in the present application the sources considered for installation include cogeneration microturbines, photovoltaic plants and wind turbines. As both renewable sources and loads are stochastic in nature, a proper approach is used to evaluate the effects of the related uncertainties. The proposed model is applied to a neighborhood in Savona, Italy. The goal of the technique is to represent a tool for a decision maker when planning investments in different urban areas, in the context of the transition from a traditional city to a "smart" one.
- Subjects :
- Engineering
Environmental Engineering
Operations research
020209 energy
Energy Engineering and Power Technology
Context (language use)
02 engineering and technology
Industrial and Manufacturing Engineering
Cogeneration
Wind turbines
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Dispatchable generation
Wind power
business.industry
Environmental engineering
Renewable energy
Optimal planning
Distributed generation
Photovoltaic
Smart districts
business
Energy source
Decision model
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
- Accession number :
- edsair.doi.dedup.....352553f70b49d75c25341f9c6ca66220
- Full Text :
- https://doi.org/10.1109/eeeic.2017.7977463