Impact of Electric Vehicles Consumption on Energy Efficient and Self-Sufficient Performance in Building: A Case Study in the Brazilian Amazon Region
Ana Carolina Dias Barreto de Souza (),
Filipe Menezes de Vasconcelos,
Gabriel Abel Massunanga Moreira,
João Victor dos Reis. Alves,
Jonathan Muñoz Tabora,
Maria Emília de Lima Tostes,
Carminda Célia Moura de Moura Carvalho and
Andreia Antloga do Nascimento
Additional contact information
Ana Carolina Dias Barreto de Souza: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Filipe Menezes de Vasconcelos: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Gabriel Abel Massunanga Moreira: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
João Victor dos Reis. Alves: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Jonathan Muñoz Tabora: Electrical Engineering Department, National Autonomous University of Honduras (UNAH), Tegucigalpa 04001, Honduras
Maria Emília de Lima Tostes: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Carminda Célia Moura de Moura Carvalho: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Andreia Antloga do Nascimento: Amazon Energy Efficiency Center (CEAMAZON), Federal University of Pará, Belém 66075-110, Brazil
Energies, 2024, vol. 17, issue 16, 1-32
Abstract:
The growth of electric vehicles (EVs) and their integration into existing and future buildings bring new considerations for energy efficiency (EE) and balance when combined with renewable energy. However, for buildings with an energy efficiency label, such as Near Zero Energy Building (NZEB) or Positive Energy Building (PEB), the introduction of EVs may result in the declassification of the EE label due to the additional energy required for the charging infrastructure. This underscores the increasing relevance of demand-side management techniques to effectively manage and utilize energy consumption and generation in buildings. This paper evaluates the influence of electric vehicle (EV) charging on NZEB/PEB-labeled buildings of the Brazilian Building Labeling Program (PBE Edifica). Utilizing on-site surveys, computational modeling, and thermos-energetic analysis with software tools such as OpenStudio v. 1.1.0 and EnergyPlus v. 9.4.0, an energy classification was conducted in a building in the city of Belem, State of Para, Brazil. Subsequently, power flow simulations employing probabilistic models and Monte Carlo approaches were executed in the OpenDSS software v. 10.0.0.2 to examine the impact of EV integration, both with and without the implementation of demand-side management techniques. Analyses using the labeling methodology demonstrated that the building has EE level C and NZEB self-sufficiency classification. The assessment of the impact of EV integration on the building’s total energy consumption in the base (current) scenario was carried out in two scenarios, with (2) and without (1) supply management. Scenario 01 generated a 69.28% increase in energy consumption, reducing the EE level to D and resulting in the loss of the NZEB class. Scenario 02 resulted in a smaller increase in energy consumption of 40.50%, and guaranteed the return of the NZEB class lost in scenario 1, but it was not enough to return the EE level to class C. The results highlight the need for immediate and comprehensive energy management strategies, as the findings show that the two scenarios present a difference of 41.55% in energy consumption. Nonetheless, these strategies are not enough if other consumption restrictions or energy efficiency measures are not applied to other building systems.
Keywords: labeling; NZEB/PEB buildings; Monte Carlo; PBE Edifica; power flow (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/17/16/4060/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/16/4060/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:16:p:4060-:d:1457291
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().