A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance

Taehoon Hong, Jimin Kim and Minhyun Lee

Energy, 2019, vol. 174, issue C, 823-834

Abstract: Buildings are becoming considerably more energy-efficient and thus achieving greater thermal comfort. This study was conducted to develop an optimization model that simultaneously takes into consideration the occupants' thermal comfort, thermal energy consumption, and life cycle economic-environmental values. To this end, a multidisciplinary approach was adopted involving the analysis of the thermal comfort and thermal energy consumption through the EnergyPlus, and the quantification of the economic-environmental values through a life cycle cost analysis and life cycle assessment analysis. For the validation of the proposed model, a case study was conducted. A library facility in a monsoon climate as the target was chosen for this. A total of 4.26 × 1012 possible building design scenarios (31 window types × two ventilation types × 812 (eight set points: 18–25 °C, 1 °C intervals per month)) were generated and used to calculate the optimal building design solution. Based on the tables for making a better decision, trade-off analyses among the five optimization objectives were conducted. In terms of efficiency, the results showed that the time required for determining the optimal solution was only 2 s for each scenario, excluding the EnergyPlus running time. The proposed model may therefore be applied to other energy-saving techniques and buildings.

Keywords: Multi-objective optimization; Occupant behavior; Indoor environmental quality; Thermal comfort; Energy; Economic and environmental assessment (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219302245
Full text for ScienceDirect subscribers only

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:eee:energy:v:174:y:2019:i:c:p:823-834

DOI: 10.1016/j.energy.2019.02.035

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().