Intelligent multi-objective optimization for building energy and comfort management
| Autor: | Elena-Lavinia Niederhäuser, Ludovic Favre, Frederick Gonon, Robyr Jean-Luc |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Optimization
Engineering Mathematical optimization Energy management 020209 energy 0211 other engineering and technologies Trade-off Context (language use) 02 engineering and technology Energy engineering Energy storage Reduction (complexity) 021105 building & construction Genetic algorithm 0202 electrical engineering electronic engineering information engineering Random optimization Buildings Simulation Engineering(all) Energy business.industry General Engineering Comfort Management Renewable energy lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General) business |
| Zdroj: | Journal of King Saud University: Engineering Sciences, Vol 30, Iss 2, Pp 195-204 (2018) |
| ISSN: | 1018-3639 |
| DOI: | 10.1016/j.jksues.2016.03.001 |
| Popis: | The rapid economic and population growth in developing countries, effective and efficient energy usage has turned out to be crucial due to the rising concern of depleting fossil fuels, of which, one-third of primary energy is consumed in buildings and expected to rise by 53% up to 2030. This roaring sector posing a challenge, due to 90% of people spend most of their time in buildings, requires enhanced well-being of indoor environment and living standards. Therefore, building operations require more energy because most of the energy is consumed to make the indoor environment comfortable. Consequently, there is the need of improved energy efficiency to decrease energy consumption in buildings. In relation to this, the primary challenge of building control systems is the energy consumption and comfort level are generally conflicting to each other. Therefore, an important problem of sustainable smart buildings is to effectively manage the energy consumption and comfort and attain the trade-off between the two. Thus, smart buildings are becoming a trend of future construction that facilitates intelligent control in buildings for the fulfillment of occupant’s comfort level. In this study, an intelligent multi-objective system has been developed with evolutionary multi-objective genetic algorithm (MOGA) optimization method. The corresponding case study simulation results for the effective management of users’ comfort and energy efficiency have been carried out. The case study results show the management of energy supply for each comfort parameter and maintain high comfort index achieving balance between the energy consumption and comfort level. Keywords: Energy, Buildings, Comfort, Management, Optimization, Trade-off |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|