Maintenance plan optimization in building retrofitting with interacting energy efficiency effects

This paper discusses a maintenance plan optimization problem for a building energy efficiency retrofitting project in which interactions exist among energy subsystems. The interactions between lighting and air conditioning systems are investigated. The coupled energy and reliability performances of a group of lighting units and a group of air conditioners, where items from the same group reveal similar energy and reliability performances, is modelled. The population and performance dynamics of the two groups is then formulated as a state-space model with coupled non-linear equations. Thereafter, the maintenance plan optimization problem is cast into an optimal control problem. The control objective is to maximize the overall energy savings and financial payback of the retrofitting project during a finite time period. Simulation results of a case study illustrate the effectiveness of the proposed approach.

[1]  Herman Carstens,et al.  Improvements to longitudinal Clean Development Mechanism sampling designs for lighting retrofit projects , 2014 .

[2]  M. A. Mian Project Economics and Decision Analysis , 2011 .

[3]  H. Khatib IEA World Energy Outlook 2011—A comment , 2012 .

[4]  Xiaohua Xia,et al.  Optimal maintenance planning for sustainable energy efficiency lighting retrofit projects by a control system approach , 2015 .

[5]  Xiaohua Xia,et al.  A multiple objective optimisation model for building energy efficiency investment decision , 2013 .

[6]  Seunghwan Yoo,et al.  Effect of LED lighting on the cooling and heating loads in office buildings , 2014 .

[7]  Bo Wang,et al.  Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives , 2015 .

[8]  Xiaohua Xia,et al.  A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings , 2014 .

[9]  Xiaohua Xia,et al.  Mathematical description for the measurement and verification of energy efficiency improvement , 2013 .

[10]  Evangelos Grigoroudis,et al.  Towards a multi-objective optimization approach for improving energy efficiency in buildings , 2008 .

[11]  Patrick D. T. O'Connor,et al.  Practical Reliability Engineering: O'Connor/Practical Reliability Engineering , 2011 .

[12]  James E. Braun,et al.  Common faults and their impacts for rooftop air conditioners , 1998 .

[13]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[14]  Akira Takakusagi,et al.  Development of an optimal preventive maintenance model based on the reliability assessment for air-conditioning facilities in office buildings , 2004 .

[15]  Luis C. Dias,et al.  Multi-objective optimization for building retrofit strategies: A model and an application , 2012 .