Selection of optimization objectives for decision-making in building energy retrofits

Abstract Building energy retrofitting has emerged as a primary strategy for reducing energy use and carbon emissions. The decision about which retrofit measures should be implemented in a particular project is a single- or multi-objective optimization problem subject to many constraints and limitations. Different objective(s) have been used in the literature, however the identification and selection of the objective(s) for this optimization problem is still a challenge. This study develops a decision matrix that guides decision-makers on how to select the objective(s) for a single- or multi-objective optimization problem that results in the selection of the best energy retrofitting strategy, by considering and defining the “investor benefits” term, the type of potential investors, and the type of potential benefits of building energy retrofits. Four types of investors are considered in this study: owner-occupant, absent owner, leaser, and external investor. In addition, a case study is used to illustrate how different types of investors may affect the selection of objective functions and, therefore, the final decisions for optimum energy retrofits. Results show that when the investor is the owner-occupant, a higher investment is suggested for energy retrofits to achieve optimum benefits.

[2]  M. Fesanghary,et al.  Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm , 2012 .

[3]  Carol C. Menassa,et al.  Evaluating sustainable retrofits in existing buildings under uncertainty , 2011 .

[4]  Chen Wei,et al.  Uncertainty Analysis by Monte Carlo Simulation in a Life Cycle Assessment of Water-Saving Project in Green Buildings , 2013 .

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

[6]  Vanessa Valentin,et al.  SUSTAINABLE IMPACT OF BUILDING ENERGY RETROFIT MEASURES , 2017 .

[7]  Matt Syal,et al.  Information Framework for Intelligent Decision Support System for Home Energy Retrofits , 2014 .

[8]  Nannan Wang,et al.  Monte Carlo simulation approach to life cycle cost management , 2012 .

[9]  Alex K. Jones,et al.  A Materials Life Cycle Assessment of a Net-Zero Energy Building , 2013 .

[10]  Jan Hensen,et al.  A new methodology for investigating the cost-optimality of energy retrofitting a building category , 2015 .

[11]  Khaled A El-Rayes,et al.  Optimal Trade-Offs between Social Quality of Life and Life-Cycle Cost in Housing Units , 2014 .

[12]  Eike Musall,et al.  Zero Energy Building A review of definitions and calculation methodologies , 2011 .

[13]  Kenneth M. Wallingford,et al.  The National Institute for Occupational Safety and Health Indoor Environmental Evaluation Experience. Part Three: Associations between Environmental Factors and Self-Reported Health Conditions , 1996 .

[14]  Robert P. Berrens,et al.  Estimating the Economic Value of Energy Improvements in U.S. Residential Housing , 2017 .

[15]  Luis C. Dias,et al.  A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB , 2012 .

[16]  R. Kansal,et al.  Green Buildings: An Assessment of Life Cycle Cost , 2011 .

[17]  Amirhosein Jafari,et al.  Decision-making life-cycle cost analysis model for energy-efficient housing retrofits , 2015 .

[18]  Karen Allacker,et al.  Sustainability assessment of energy saving measures: A multi-criteria approach for residential buildings retrofitting—A case study of the Spanish housing stock , 2016 .

[19]  Vanessa Valentin,et al.  An Investment Allocation Approach for Building Energy Retrofits , 2016 .

[20]  Vanessa Valentin,et al.  Assessment of Social Indicators in Energy Housing Retrofits , 2016 .

[21]  F. J. Bromilow,et al.  Life cycle cost of university buildings , 1987 .

[22]  D P Wyon,et al.  The effects of indoor air quality on performance and productivity. , 2004, Indoor air.

[23]  Federico Noris,et al.  Indoor environmental quality benefits of apartment energy retrofits , 2013 .

[24]  Nannan Wang,et al.  Lifecycle assessment for sustainable design options of a commercial building in Shanghai , 2010 .

[25]  Edward Morofsky,et al.  A screening methodology for implementing cost effective energy retrofit measures in Canadian office , 2011 .

[26]  Vanessa Valentin,et al.  Probabilistic Life Cycle Cost Model for Sustainable Housing Retrofit Decision-Making , 2014 .

[27]  Christopher Goodacre,et al.  Integrating energy efficiency with the social agenda in sustainability , 2002 .

[28]  Rasmus Lund Jensen,et al.  Early stage decision support for sustainable building renovation – A review , 2016 .

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

[30]  Gonzalo Guillén-Gosálbez,et al.  Multi-objective optimization coupled with life cycle assessment for retrofitting buildings , 2014 .

[31]  Constantine E. Kontokosta.  Modeling the energy retrofit decision in commercial office buildings , 2016 .

[32]  John Yen,et al.  BIM Server Requirements to Support the Energy Efficient Building Lifecycle , 2012 .

[33]  Liang Y. Liu,et al.  OPTIMAL SELECTION OF SUSTAINABILITY MEASURES TO MINIMIZE BUILDING OPERATIONAL COSTS , 2014 .

[34]  Vanessa Valentin,et al.  An optimization framework for building energy retrofits decision-making , 2017 .

[35]  Christopher Kennedy,et al.  Comparing life cycle implications of building retrofit and replacement options , 2005 .

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

[37]  Paul Cooper,et al.  Existing building retrofits: Methodology and state-of-the-art , 2012 .

[38]  Evangelos Grigoroudis,et al.  A multi-objective decision model for the improvement of energy efficiency in buildings , 2010 .

[39]  Emily Moder.  A Decision-Making Model for Building Energy Retrofits , 2013 .

[40]  Arpad Horvath,et al.  Life-Cycle Environmental Effects of an Office Building , 2003 .

[41]  Hugo Hens,et al.  Energy savings in retrofitted dwellings: economically viable? , 2005 .

[42]  Ruchi Choudhary,et al.  Optimum building energy retrofits under technical and economic uncertainty , 2013 .

[43]  Stig-Inge Gustafsson,et al.  Optimisation and simulation of building energy systems , 2000 .

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

[45]  Luis C. Dias,et al.  Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application , 2014 .