TY - GEN
T1 - Energy efficiency in buildings by using evolutionary algorithms
T2 - 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
AU - Santos, Ricardo
AU - Matias, J. C. O.
AU - Abreu, António
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2018.
PY - 2018
Y1 - 2018
N2 - Energy efficiency can be achieved, by making optimal choices of household appliances, based on specific rules for consumption and use. However, it’s not always possible to achieve good solutions, since in general, an efficient equipment, with an economic consumption savings during his life cycle, is usually an expensive one, with a high initial investment. Additionally, the interaction of these choices, associated with consumer behavior, could lead toward to efficient losses during the lifecycle of the equipment, and then to a situation of indirect rebound effect. In this work, it is presented an approach, applied to the residential buildings, by using evolutionary algorithms to support consumer decisions. The approach presented here, could promote energy efficiency by providing the consumer with several optimal and feasible solutions, and at the same time, with information about the impact of his choices made on future.
AB - Energy efficiency can be achieved, by making optimal choices of household appliances, based on specific rules for consumption and use. However, it’s not always possible to achieve good solutions, since in general, an efficient equipment, with an economic consumption savings during his life cycle, is usually an expensive one, with a high initial investment. Additionally, the interaction of these choices, associated with consumer behavior, could lead toward to efficient losses during the lifecycle of the equipment, and then to a situation of indirect rebound effect. In this work, it is presented an approach, applied to the residential buildings, by using evolutionary algorithms to support consumer decisions. The approach presented here, could promote energy efficiency by providing the consumer with several optimal and feasible solutions, and at the same time, with information about the impact of his choices made on future.
KW - Energy efficiency
KW - Evolutionary algorithms
KW - Indirect rebound effect
KW - Life cycle cost analysis
UR - http://www.scopus.com/inward/record.url?scp=85046542323&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-78574-5_12
DO - 10.1007/978-3-319-78574-5_12
M3 - Conference contribution
AN - SCOPUS:85046542323
SN - 978-3-319-78573-8
T3 - IFIP Advances in Information and Communication Technology
SP - 120
EP - 129
BT - Technological Innovation for Resilient Systems
A2 - Camarinha-Matos, Luís M.
A2 - Adu-Kankam, Kankam O.
A2 - Julashokri, Mohammad
PB - Springer
CY - Cham
Y2 - 2 May 2018 through 4 May 2018
ER -
