CONSIDERAÇÕES INICIAIS SOBRE A UTILIZAÇÃO DE OTIMIZAÇÃO MULTIOBJETIVO EM UM PROJETO-PADRÃO PROINFÂNCIA IMPLANTADO NA ZONA BIOCLIMÁTICA 2
DOI:
https://doi.org/10.46421/entac.v18i.785Keywords:
Computer simulation, Simulation-based optimization, Multi-objective optimization, Energy efficiencyAbstract
The low thermoenergetic performance of buildings is directly related to inadequate architectural planning. In the case of school buildings, the standardization of the project can generate an even greater problem and not only related to its energy performance. With methodologies that combine computer simulation and optimization engines, it is possible to identify possible parameters for improving the performance of these buildings through one or more objectives, as in the case of multi-objective solutions. In this study, the performance analysis of a multi-objective optimization strategy will be presented, with changes in the thermal transmittance parameters of the external walls, the floor and the roof, as well as the solar orientation of the building and the absorbances of the external walls and the roof. This cutout corresponds to the initial part of a research that aims to define adaptation measures, of the thermal envelope of the Proinfância type 2 standard project, for implantation in the bioclimatic zone 2. In the analysis of results, it was possible to observe a principle of convergence towards the optimum point already among the first generations of the algorithm, where the best cases were found. In addition, issues of improvement of the optimization technique were also identified, so that even more efficient results are achieved in the future.
References
ABNT ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS. NBR 15.220: Desempenho Térmico de Edificações – Parte 2: Métodos de cálculos da transmitância térmica, da capacidade térmica, do atraso térmico e do fator solar de elementos e componentes de edificações. Rio de Janeiro, 2005.
ASADI, E.; SILVA, M. G. da; ANTUNES, C. H.; DIAS, L. A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB. Building and Environment, v.56, p.370–378, 2012.
BRASIL. Fundo Nacional para o Desenvolvimento da Educação (FNDE), Ministério da Educação. Resolução nº 6, 24 abril2007. Programa Nacional de Reestruturação e Aparelhagem da Rede Escolar Pública de Educação Infantil. Brasília: MEC/FNDE 2007.
BALBONI, M. D. C. et al. Geração de uma população inicial para análise multiobjetivo de simulações termoenergéticas em HIS. In: ENCONTRO NACIONAL DE CONFORTO DO AMBIENTE CONSTRUÍDO, 2019, João Pessoa. Anais... João Pessoa, 2019.
CBE - CENTER FOR THE BUILT ENVIRONMENT. About mixed-mode. Disponível em: < https://cbe.berkeley.edu/mixedmode/index.html> . Acesso em: 13 mar. 2020.
COAKLEY, D.; RAFTERY, P.; KEANE, M. A review of methods to match building energy simulation models to measured data. Renewable and sustainable energy reviews, v.37, p.123–141, 2014.
CORBELLA, O. Em busca de uma arquitetura sustentável para os trópicos: conforto ambiental. Editorial Revan, 2003.
DALBEM, R. et al. Discussão do desempenho da envoltória de uma passive house adaptada à zona bioclimática 2 em acordo com o RTQ-R. Ambiente Construído, Porto Alegre, v. 17, n. 1, mar. 2017.
DAHLAN, N.; ARIS, A. Optimizing Energy Baseline for Medium Size Office Using Hybrid EnergyPlus-Evolutionary Programming (EP). Journal of Telecommunication, Electronic and Computer Engineering (JTEC), v.10, n.1-4, p.59–65, 2018.
ECHENAGUCIA, T. M. et al. The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis. Applied Energy, v.154, p.577–591, 2015.
INMETRO. Regulamento Técnico da Qualidade para o Nível de Eficiência Energética de Edificações Residenciais, RTQ-R. Instituto Nacional de Metrologia, Normalização e Qualidade Industrial, Rio de Janeiro, 2010.
KIRIMTAT, A. et al. Multi-objective energy and daylight optimization of amorphous shading devices in buildings. Solar Energy, v.185, p.100–111, 2019.
KNOP, S. et al. Otimização simplificada do desempenho de uma residencia unifamiliar localizada na ZB2. In: ENCONTRO NACIONAL DE CONFORTO DO AMBIENTE CONSTRUÍDO, 2019, João Pessoa. Anais... João Pessoa, 2019.
KOWALTOWSKI, D. C. Arquitetura escolar: o projeto do ambiente de ensino. Oficina de textos, 2011.
LEITZKE, R. K. et al. Optimization of the Traditional Method for Creating a Weather Simulation File: The Pelotas.epw Case. Journal of Civil Engineering and Architecture, v. 12, p. 741-756, 2018.
LI, X.; MALKAWI, A. Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions. Energy, v.112, p.1194–1206, 2016.
NIMLYAT,P.; DASSAH, E.; ALLU, E. Computer simulations in buildings: implications for building energy performance. Computer, v.4, n.03, 2014.
OCHOA, J. H.; ARAÚJO, D. L.; SATTLER, M. A. Análise do conforto ambiental em salas de aula: comparação entre dados técnicos e a percepção do usuário. Ambiente Construído, v.12, n.1, p.91–114, 2012.
SOUSA, J. Energy simulation software for buildings: review and comparison. In: INTERNATIONAL WORKSHOP ON INFORMATION TECHNOLOGY FOR ENERGY APPLICATONS-IT4ENERGY, LISBON, 2012. Anais… Lisboa, 2012.
TONG, Z. et al. Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building. Environment international, v.89, p.138 146, 2016.
YAN, C. et al. A seasonal cold storage system based on separate type heat pipe for sustainable building cooling. Renewable energy, v.85, p.880 889, 2016.
YU, W. et al. Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design. Energy and Buildings, v.88, p.135–143, 2015.
ZHAI, Y. et al. A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance. Renewable Energy, v.134, p.1190–1199, 2019.
ZHANG, Y.; KOROLIJA, I. Performing complex parametric simulations with jEPlus. In SET2010-9TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY TECHNOLOGIES, 2010. Anais…Shangai, China, 2010.