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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nunes da Rocha, J.E. Cavalcanti Pacheco, M.A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. de Eng. Eletr., PUC-Rio, Rio de Janeiro, Brazil (Nunes da Rocha, J.E.; Cavalcanti Pacheco, M.A.) |
| Abstract | This paper investigates a new methodology which, considering the technical and economic uncertainties, performs a more comprehensive and realistic analysis of the complex business scenario involving the Energy Efficiency Projects in Brazil. The methodology is based on intelligent techniques to optimize diagnostic and economic evaluation of Energy Efficiency Projects Managed by Demand Side (DSM), applied to the power electric sector in Brazil. The methodology is applied in an Energy Efficiency Project for the end use o fair conditioning in a consumer unit of the commercial category, located in the city of Rio de Janeiro and connected to the distribution system at medium voltage (13.8 kV). The results revealed that from the application of genetic algorithms in energy diagnoses optimization were able to build subprojects originated from a larger project, maintaining or even widening the Cost vs. Benefit Value (CBV). And, by contributing to the viability of alternative optimal designs that encourage the implementation of Energy Efficiency Projects in Brazil. |
| Sponsorship | IEEE Spain Sect. IE/PEL Joint Chapt. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1304066 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479938667 |
| DOI | 10.1109/SSD.2014.6808767 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-02-11 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | measurement & verification RNA Heating Sociology evolutionary computing Statistics Energy Efficiency Contracts risk analysis energy diagnosis |
| Content Type | Text |
| Resource Type | Article |
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