A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings

Wang, Bo; Xia, Xiaohua; Zhang, Jiangfeng

doi:10.1016/j.enbuild.2014.03.025

Cited by 157 publications

(83 citation statements)

References 28 publications

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“…One major topic in this area is the energy efficiency retrofitting in existing buildings. The focuses of energy efficiency retrofitting research at the current stage are the implementation of energy conservation technologies [1,2,3,4,5,6] and the optimization of retrofitting plans [7,8,9,10,11,12]. However, only a few studies have been conducted on the maintenance part of an energy efficiency project [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives

Wang

Xia

2015

Energy and Buildings

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This paper discusses the maintenance plan optimization problem for the energy efficiency purpose in the building energy efficiency retrofitting context. A subproblem namely the Building Retrofitted Facilities Corrective Maintenance Planning (BRFCMP) problem is proposed, where the corrective maintenance for malfunctioning retrofitted items are involved. The aggregate performances of the homogeneous retrofitted item groups, instead of the individual item performances, are the main consideration of the optimization issue. An aggregate population level optimization model is proposed to address the BRFCMP problem. When further taking into account the uncertainties, the optimization problem is cast into an optimal control problem to reduce the consequent adverse impact, given the dynamic nature of the aggregate performances of the item groups during operation. Both the optimization and control system approaches are applied to solve the BRFCMP problem without or considering uncertainties. An actual building retrofitting project is used as the case study to investigate the important role of maintenance to the building energy efficiency. The effectiveness of the proposed approaches is verified by simulation results.

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Section: Introductionmentioning

confidence: 99%

Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives

Wang

Xia

2015

Energy and Buildings

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“…However, the existing studies only consider the effects after the retrofit to choose optimal building retrofit materials, and ignore specific building retrofit planning [10,11]. Detailed scheduling for building retrofits is required due to the lead time of a building retrofit.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Integer Programing Model for Building Retrofit Planning for Energy Saving in South Korea

2017

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Due to the heightened concerns of global environmental problems caused by the heavy use of fossil fuels, the sharp increase of energy use in the building sector has been recognized as an important environmental issue. One solution for efficient energy consumption in the building sector is building retrofits. This study proposes a two-stage integer programing model to select building retrofit materials and retrofit planning. The first model is based on a multi-objective optimization that derives an optimal retrofit strategy considering both energy savings and retrofit costs. Using the results of the first model, the second model finds an optimal retrofit plan to minimize losses for the building owner. Based on a real general hospital building in Korea, a simplified case building was used to verify the proposed models and for experimental analyses. According to the results of the second model, the building owner could adopt a building retrofit with less than 30-40% of the initial budget when compared to the total retrofit costs.

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“…According to the literature, in developed and developing countries it constitutes about 40% of the total energy consumption [1][2][3][4][5][6][7][8]. Residential buildings are responsible for a major part of the energy consumption of the building sector [9].…”

Section: Introductionmentioning

confidence: 99%

“…Some researches apply multi-objective [2,5,6,25,26,[36][37][38][39][40] or multi-criterion [41,42] optimization models. In the study conducted by Ascione et al [39], a procedure that combines EnergyPlus simulation and a genetic algorithm was implemented to determine the best solutions for the HVAC system control in a residential building.…”

Section: Introductionmentioning

confidence: 99%

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Ferdyn-Grygierek

Grygierek

2017

Energies

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Abstract:The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance of buildings. The paper presents the multi-variable optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs (LCC) is analyzed. Optimal selection of the design parameters is carried out using genetic algorithms by coupling the building performance simulation program EnergyPlus with optimization environment. The simulations were conducted for seven optimization cases. The analysis is performed for two variants of a building with heating and cooling systems and with a heating system only. Depending on the analyzed case, the life cycle costs decreased from 7% to 34% LCC value of the reference building. In the case of temperate climate, the building optimization (in terms of heat demand only) substantially reduces the heating costs, yet the summer thermal comfort conditions deteriorate significantly.

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A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings

Cited by 157 publications

References 28 publications

Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives

Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives

Two-Stage Integer Programing Model for Building Retrofit Planning for Energy Saving in South Korea

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

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