Login | Register

An Integrated Model for Position-based Productivity and Energy Costs Optimization in Offices


An Integrated Model for Position-based Productivity and Energy Costs Optimization in Offices

Mofidi, Farhad ORCID: https://orcid.org/0000-0001-6798-0419 and Akbari, Hashem (2019) An Integrated Model for Position-based Productivity and Energy Costs Optimization in Offices. Energy and Buildings . ISSN 03787788 (In Press)

[thumbnail of In press, accepted manuscript]
Text (In press, accepted manuscript) (application/pdf)
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Official URL: http://dx.doi.org/10.1016/j.enbuild.2018.11.009


In shared spaces, occupants may have varied thermal and visual preferences for the indoor environmental conditions. Moreover, an occupant's perception of the indoor environment, such as her thermal and visual sensations, depends on her position inside an enclosed space. There is a strong relationship between occupants’ comfort conditions and their level of productivity, hence, improving the productivity of occupants in offices offers significant economic benefits. The main interest of this research is to propose a Multi-Objective Optimization (MOOP) method for position-based energy and comfort management in offices. The proposed method accounts for personalized thermal and visual preferences of occupants and their positions within an office space, and simultaneously optimizes energy consumption costs and collective productivity of office workers, by proposing Pareto optimal solutions for the automated control of the indoor environment. Occupants’ thermal and visual preferences and positions, their productivity rates, thermal and visual behavior, Indoor Air Quality (IAQ) of the space, energy exchanges processes across the building, indoor and outdoor environmental parameters, and energy prices, are considered in this optimization. Application of the proposed method under varied occupancy scenarios is analyzed by energy performance simulation of a multi-zone office building, located in Montreal, Canada. The proposed method (1) has the flexibility to account for the diversity among occupants’ environmental preferences, (2) manages the indoor environmental conditions based on office workers’ positions and preferences, and (3) simultaneously optimizes energy costs and office workers’ productivity.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Authors:Mofidi, Farhad and Akbari, Hashem
Journal or Publication:Energy and Buildings
Date:17 November 2019
  • Natural Sciences and Engineering Research Council of Canada (NSERC)
Digital Object Identifier (DOI):10.1016/j.enbuild.2018.11.009
Keywords:Energy Management; Building Simulation; Integrated Building Control; Productivity; Multi-Objective Optimization; Occupant Behavior Modeling
ID Code:984711
Deposited By: Monique Lane
Deposited On:28 Nov 2018 15:47
Last Modified:03 Nov 2020 02:00


CIBSE CIBSE Guide F: Energy efficiency in buildings Chartered Institution of Building Services Engineers, London, England (2012)

J.Li.H. Wong, S. Wang Intelligent building research: a review Automation in Construction, 14 (1) (2005), pp. 143-159

A. Dounis, D. Manolakis Design of a fuzzy system for living space thermal-comfort regulation Applied Energy, 69 (2) (2001), pp. 119-144

R. Alcala, J. Casillas, O. Cordon, A. Gonzalez, F. Herrera A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
Engineering Applications of Artificial Intelligence, 18 (3) (2005), pp. 279-296

D. Kolokotsa, G. Stavrakakis, K. Kalaitzakis, D. Agoris Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks Engineering Applications of Artificial Intelligence, 15 (5) (2002), pp. 417-428

R.T. Marler, J.S. Arora Survey of multi-objective optimization methods
Structural and Multidisciplinary Optimization, 26 (April 2004), pp. 369-395

P. Shaikh, N. Nor, P. Nallagownden, I. Elamvazuthi, T. Ibrahim A review on optimized control systems for building energy and comfort management of smart sustainable buildings
Renewable and Sustainable Energy Reviews, 34 (2014), pp. 409-429

R. Yang, L. Wang Multi-objective optimization for decision-making of energy and comfort management in building automation and control Sustainable Cities and Society, 2 (1) (2012), pp. 1-7

Z. Wang, R. Yang, L. Wang Multi-agent control system with intelligent optimization for smart and energy-efficient buildings IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, Glendale, AZ, USA (2010)

C. Dai, L. Lan Method for the determination of optimal work environment in office buildings considering energy consumption and human performance Energy and Buildings, 76 (June 2014), pp. 278-283

A. Nguyen, S. Reiter, P. Rigo A review on simulation-based optimization methods applied to building performance analysis Applied Energy, 113 (2014), pp. 1043-1058

F. Ascione, N.De Bianco, C. Stasio, G. Mauro, G. Vanoli Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort Energy and Buildings, 111 (2016), pp. 131-144

A. Brownlee, J. Wright Solution analysis in multi-objective optimization First Building Simulation and Optimization Conference, Loughborough, UK (2012)

S. Carlucci, C. Cattarin, F. Causone, L. Pagliano Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II) Energy and Buildings, 104 (2015), pp. 378-394

ANSI/ASHRAE Standard 55-2013 Thermal environmental conditions for human occupancy
American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, Georgia (2013)

P.O. Fanger Thermal comfort - Analysis and applications Danish Technical Press, Copenhagen (1970)

R. Yao, B. Li A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV) Building and Environment, 44 (10) (2009), pp. 2089-2096

J. Veitch Psychological processes influencing lighting quality Journal of the Illuminating Engineering Society, 30 (1) (2001), pp. 124-140

W. Jang, W. Healy, M. Skibniewski Wireless sensor networks as part of a web-based building environmental monitoring system Automation in Construction, 17 (6) (2008), pp. 729-736

S. Noh, K. Kim, Y. Ji Design of a room monitoring system for wireless sensor networks
International Journal of Distributed Sensor Networks, 2013 (2013)

K. Qian, X. Ma, C. Peng, Q. Ju, M. Xu A ZigBee-based building energy and environment monitoring system integrated with campus GIS International Journal of Smart Home, 8 (2) (2014), pp. 107-114

F. Haldi, D. Robinson On the behaviour and adaptation of office occupants Building and Environment, 43 (12) (2008), pp. 2163-2177

F. Jazizadeh, A. Ghahramani, B. Becerik-Gerber, T. Kichkaylo, M. Orosz Human-building interaction framework for personalized thermal comfort-driven systems in office buildings
Journal of Computing in Civil Engineering, 28 (1) (2014), pp. 2-16

K. Parsons, UK London Human thermal environment Taylor & Francis (1993)

D. Wyon Indoor environmental effects on productivity, IAQ 96 Paths to better building environments/Keynote address ASHRAE Journal, 1 (1996), pp. 1-15

R. Kosenen, F. Tan Assessment of productivity loss in air-conditioned buildings using PMV index Energy and Buildings, 36 (10) (2004), pp. 987-993

L. Berglund Comfort and humidity ASHRAE Journal (August 1998)

O. Seppanen, W.J. Fisk Some quantitative relations between indoor environmental quality and work performance or health HVAC&R Research, 12 (4) (2006), pp. 957-973

K. Jensen, J. Toftum A Bayesian network approach to the evaluation of building design and its consequences for employee performance and operational costs Building and Environment, 44 (3) (2004), pp. 456-462

W.J. Fisk, D. Black, G. Brunner Benefits and costs of improved IEQ in U.S. offices
Indoor Air, 21 (5) (2011), pp. 357-367

ANSI/ASHRAE Standard "Energy standard for buildings except low-rise residential buildings American Society of Heating, Refrigerating and Air-Conditioning Engineers, 90, Atlanta, Georgia (2016), pp. 1-2016

Government of Canada National Climate Data and Information Archive
Environment Canada http://www.climate.weatheroffice.gc.ca/ (2016)

F. Mofidi, H. Akbari Personalized energy costs and productivity optimization in offices
Energy and Buildings, 143 (15) (May 2017), pp. 173-190

F. Mofidi, H. Akbari Integrated optimization of energy costs and occupants’ productivity in commercial buildings Energy and Buildings, 129 (1) (October 2016), pp. 247-260

F. Incropera, T. Bergman, A. Lavine, D. DeWitt Fundamentals of heat and mass transfer
Wiley, New Jersey (2011)

F. Haldi Towards a unified model of occupants' behaviour and comfort for building energy simulation École polytechnique fédérale de Lausanne, Lausanne (2010)

D. Daum, F. Haldi, N. Morel A personalized measure of thermal comfort for building controls
Building and Environment, 46 (1) (2011), pp. 3-11

O. Seppanen, W.J. Fisk, Q.H. Lei Ventilation and performance in office work Indoor Air, 16 (1) (2006), pp. 28-36

Comfy, "Comfy App," Comfy, [Online]. Available: https://www.comfyapp.com/?home. [Accessed 18 9 2018].

"The Asana Blog -The official blog for Asana news, tips, and updates
The Asana Blog (2016) [Online]. Available: https://blog.asana.com/
[Accessed 24 November 2016]

Task Management Software | Producteev by Jive Producteev.com https://www.producteev.com/ (2016)
[Accessed 24 November 2016]
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top