The Experts below are selected from a list of 11259 Experts worldwide ranked by ideXlab platform
Bo Wang - One of the best experts on this subject based on the ideXlab platform.
-
A Preliminary Study on the Robustness of Grouping Based Maintenance Plan Optimization in Building Retrofitting
Energy Procedia, 2017Co-Authors: Bo Wang, Xiaohua XiaAbstract:Abstract In the recent years, a series of studies which investigate the Building Retrofitting and maintenance plan optimization have been proposed. In these studies, items are categorized into several homogeneous groups to address the complexity. However, the grouping method involves the impacts of the groupings to the optimization results. This paper investigates the robustness of the maintenance plan performances with different groupings. A mathematical description is illustrated, including the definition of grouping, the grouping based control system formulation and the definition of the performance robustness. Taking advantage of the definitions and a sensitivity analysis approach, the performance robustness in practical maintenance plan optimization can be evaluated.
-
optimal maintenance planning for Building energy efficiency Retrofitting from optimization and control system perspectives
Energy and Buildings, 2015Co-Authors: Bo Wang, Xiaohua XiaAbstract:Abstract 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.
-
a multi objective optimization model for the life cycle cost analysis and Retrofitting planning of Buildings
Energy and Buildings, 2014Co-Authors: Bo Wang, Jiangfeng ZhangAbstract:The Building sector contributes a large proportion of the world's total final energy consumption. As a result, considerable attention has been paid to energy efficiency in the Building sector. At the current stage, Building Retrofitting is the most feasible and cost-effective method to improve Building energy efficiency. This paper presents a multi-objective optimization model for life-cycle cost analysis and Retrofitting planning of Buildings. A net present value (NPV) based economic analysis taking life-cycle cost into account is introduced to formulate the objective functions. In addition, a combination of multiple alternative measures for each Retrofitting intervention is considered in determining the optimal solution. The presented model aims at maximizing both energy savings and economic benefits during a selected time frame. It allows decision makers to make best use of the available budget. A differential evolution (DE) algorithm is proposed to solve this optimization problem. The result of the case study illustrates the effectiveness of the multi-objective optimization model to support the planning of energy-efficient and cost-effective Building Retrofitting projects.
-
a control system approach to corrective maintenance planning of Building retrofitted facilities
IFAC Proceedings Volumes, 2014Co-Authors: Bo WangAbstract:Abstract Traditional Building Retrofitting planning is a decision making process prior to the Building Retrofitting investment. Although the long term energy and financial issues of the Retrofitting project are considered in some cases, the energy efficiency potentials due to the maintenance and operation of the retrofitted facilities are not sufficiently explored in existing studies. In the broad field of Building facilities maintenance, a corrective maintenance planning for energy efficiency refers to the decisions over a sustainability period of a Building Retrofitting project concerning the replacements or repairs of the failed retrofitted facilities at scheduled maintenance intervals. This paper presents a control system approach to the Building Retrofitted Facilities Corrective Maintenance Planning (BRFCMP) problem. The totality of homogeneous population classes of the retrofitted facilities instead of individual items becomes the main issue of consideration, and a control system framework is proposed, based on which the optimization of BRFCMP is transformed to an optimal control problem. A Model Predictive Control (MPC) approach is then applied to solve the BRFCMP problem with and without consideration of uncertainties and disturbances. An actual Building Retrofitting project is used as the case study. Simulation results prove the feasibility and the effectiveness of the control system approach, revealing a further energy efficiency potential by optimizing the corrective maintenance of Building retrofitted facilities.
Xiaohua Xia - One of the best experts on this subject based on the ideXlab platform.
-
A Preliminary Study on the Robustness of Grouping Based Maintenance Plan Optimization in Building Retrofitting
Energy Procedia, 2017Co-Authors: Bo Wang, Xiaohua XiaAbstract:Abstract In the recent years, a series of studies which investigate the Building Retrofitting and maintenance plan optimization have been proposed. In these studies, items are categorized into several homogeneous groups to address the complexity. However, the grouping method involves the impacts of the groupings to the optimization results. This paper investigates the robustness of the maintenance plan performances with different groupings. A mathematical description is illustrated, including the definition of grouping, the grouping based control system formulation and the definition of the performance robustness. Taking advantage of the definitions and a sensitivity analysis approach, the performance robustness in practical maintenance plan optimization can be evaluated.
-
optimal maintenance planning for Building energy efficiency Retrofitting from optimization and control system perspectives
Energy and Buildings, 2015Co-Authors: Bo Wang, Xiaohua XiaAbstract:Abstract 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.
Frank De Troyer - One of the best experts on this subject based on the ideXlab platform.
-
design and experimental study of a low cost prefab trombe wall to improve indoor temperatures in social housing in the biobio region in chile
Solar Energy, 2020Co-Authors: Leonardo Agurto, Karen Allacker, Adelqui Fissore, Cristobal Agurto, Frank De TroyerAbstract:Abstract A renewed interest in bioclimatic strategies for Building Retrofitting is noticed because more than 40% of the total annual world energy consumption is used in Buildings. In Chile, the social housing stock is more than 5.5 million units built with government subsidies. Thermal regulations improvement started in 2000, nevertheless, solar passive strategies are still not present on the immediate Retrofitting agenda. The Bioclimatic Prosthesis Project aims to design-develop prefabricated small scale passive solar systems for the refurbishment of social housing reducing their energy use. These systems should be affordable and easy to build and install. This paper focuses on an adaptable and low-cost prefabricated Trombe wall with a vertical storage system. Mobile insulation during winter nights and external shading during summer were also tested. The system was built and installed in a test cell similar to the most used area of a social housing. The thermal efficiency of it, was monitored and compared to a similar test cell without the passive component. Two different microclimate scenarios were tested: in the coast and in the interior valley. Results show the addable Trombe wall can reduce energy demands and winter firewood consumption by nearly 33%, increasing the indoor temperature in 5 °C in the better cases measured during the cold season. In winter, the indoor thermal comfort hours are increased by 69.35% for the city in the central valley (Chillan). For the coastal city (Coronel), the results were 56.29%. In summer, the comfort hours were also increased by 10% on the coast, and in almost 19.5% in the interior valley, adding an external shading element to solve the overheating risk.
Jiangfeng Zhang - One of the best experts on this subject based on the ideXlab platform.
-
a multi objective optimization model for the life cycle cost analysis and Retrofitting planning of Buildings
Energy and Buildings, 2014Co-Authors: Bo Wang, Jiangfeng ZhangAbstract:The Building sector contributes a large proportion of the world's total final energy consumption. As a result, considerable attention has been paid to energy efficiency in the Building sector. At the current stage, Building Retrofitting is the most feasible and cost-effective method to improve Building energy efficiency. This paper presents a multi-objective optimization model for life-cycle cost analysis and Retrofitting planning of Buildings. A net present value (NPV) based economic analysis taking life-cycle cost into account is introduced to formulate the objective functions. In addition, a combination of multiple alternative measures for each Retrofitting intervention is considered in determining the optimal solution. The presented model aims at maximizing both energy savings and economic benefits during a selected time frame. It allows decision makers to make best use of the available budget. A differential evolution (DE) algorithm is proposed to solve this optimization problem. The result of the case study illustrates the effectiveness of the multi-objective optimization model to support the planning of energy-efficient and cost-effective Building Retrofitting projects.
-
a multiple objective optimisation model for Building energy efficiency investment decision
Energy and Buildings, 2013Co-Authors: Esrom Mahlatsi Malatji, Jiangfeng ZhangAbstract:A multiple objective optimisation model is formulated to help decision makers to make an optimal decision when investing in energy-efficient Building Retrofitting. The objectives are to maximise the energy savings and minimise the payback period for a given fixed initial investment. The model is formulated as a multi-objective optimisation problem with the net present value (NPV), initial investment, energy target and payback period as constraints and it is solved using genetic algorithms (GAs). The optimal decision is reached by choosing the most optimal actions during energy retrofit in Buildings. The model is applied to a case study of a Building with 25 facilities that can be retrofitted that illustrates the potential of high energy savings and short payback periods. The sensitivity analysis is also performed by analysing the influence of the auditing error of the facilities, wrongly specified energy savings, the initial investment, changes in interest rate and the changes of electricity prices on the payback period, the maximum energy saved and NPV of the investment. The outcome of this analysis proves that the model is robust.
Leonardo Agurto - One of the best experts on this subject based on the ideXlab platform.
-
design and experimental study of a low cost prefab trombe wall to improve indoor temperatures in social housing in the biobio region in chile
Solar Energy, 2020Co-Authors: Leonardo Agurto, Karen Allacker, Adelqui Fissore, Cristobal Agurto, Frank De TroyerAbstract:Abstract A renewed interest in bioclimatic strategies for Building Retrofitting is noticed because more than 40% of the total annual world energy consumption is used in Buildings. In Chile, the social housing stock is more than 5.5 million units built with government subsidies. Thermal regulations improvement started in 2000, nevertheless, solar passive strategies are still not present on the immediate Retrofitting agenda. The Bioclimatic Prosthesis Project aims to design-develop prefabricated small scale passive solar systems for the refurbishment of social housing reducing their energy use. These systems should be affordable and easy to build and install. This paper focuses on an adaptable and low-cost prefabricated Trombe wall with a vertical storage system. Mobile insulation during winter nights and external shading during summer were also tested. The system was built and installed in a test cell similar to the most used area of a social housing. The thermal efficiency of it, was monitored and compared to a similar test cell without the passive component. Two different microclimate scenarios were tested: in the coast and in the interior valley. Results show the addable Trombe wall can reduce energy demands and winter firewood consumption by nearly 33%, increasing the indoor temperature in 5 °C in the better cases measured during the cold season. In winter, the indoor thermal comfort hours are increased by 69.35% for the city in the central valley (Chillan). For the coastal city (Coronel), the results were 56.29%. In summer, the comfort hours were also increased by 10% on the coast, and in almost 19.5% in the interior valley, adding an external shading element to solve the overheating risk.
