The Experts below are selected from a list of 38265 Experts worldwide ranked by ideXlab platform
Y Hong - One of the best experts on this subject based on the ideXlab platform.
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coordinated energy environmental economic optimisation of building Retrofits for optimal energy performance on a macro scale a life cycle cost based evaluation
Energy Conversion and Management, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, Y Tang, Y JinAbstract:Abstract Given that energy-efficiency policies focus on meso- or macro-scale interventions, it is imperative to establish a macro-scale evaluation approach for building Retrofits to support policymaking in building energy conservation, management and sustainability. This study applies the generic idea of optimising the energy, economic and environmental outputs to propose a facile framework for evaluating the prospects of building Retrofits on a macro-scale. Here, an extensive optimisation approach integrating life cycle cost evaluation and an environmental assessment is formulated, involving coordinated on-site survey, modelling and data analytics. The model framework is corroborated by a case study analysis focused on identifying the optimal Retrofit solution for low-rise office buildings in Shanghai. Simulation results show that modifications in occupancy regime, improvements in natural ventilation, heating and cooling systems, cool roofs insulation and installation of renewable energy systems (such as geothermal and solar/photovoltaics) are the basic Retrofit measures for a macro-scale intervention to attain maximum life-cycle benefits. Individually, an estimated investment cost for each Retrofit project varied within RMB 1 – 5 million with a payback period
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a target driven decision making multi layered approach for optimal building Retrofits via agglomerative hierarchical clustering a case study in china
Building and Environment, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, H Zhao, Y TangAbstract:Abstract The optimization of energy, environmental and economic (3E) outcomes is the principal approach to identifying Retrofit solutions for a sustainable built environment. By applying this approach and defining a set energy performance target, this study proposes a makeshift decision framework that integrates a data mining procedure (agglomerative hierarchical clustering (AHC)) into the decision-making process to provide a simplified 3E assessment of building Retrofits on a macro-scale. The framework comprises of three model layers: (1) a building stock aggregation model, (2) an individualistic 3E model that provides the sensitivity analysis for (3) a life cycle cost-environmental assessment model. The framework is demonstrated and validated with a case study aimed at achieving the set energy targets for low-rise office buildings (LOB) in Shanghai. The model defines 4 prototypical buildings for the existing LOB blocks, which are used for the individual evaluation of 12 commonly applied Retrofit measures. Subsequently, a simplified LCC-environmental assessment was performed to evaluate the 3E prospects of 2048 possible Retrofit combinations. The results uniquely identify Retrofit solutions to attain the set energy performance targets and optimal building performance. Furthermore, the decision criteria for different investment scenarios are discussed. Overall, this study provides building investors an innovative framework for a facile and holistic assessment of a broader range of Retrofit alternatives based on set performance targets.
Y Tang - One of the best experts on this subject based on the ideXlab platform.
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coordinated energy environmental economic optimisation of building Retrofits for optimal energy performance on a macro scale a life cycle cost based evaluation
Energy Conversion and Management, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, Y Tang, Y JinAbstract:Abstract Given that energy-efficiency policies focus on meso- or macro-scale interventions, it is imperative to establish a macro-scale evaluation approach for building Retrofits to support policymaking in building energy conservation, management and sustainability. This study applies the generic idea of optimising the energy, economic and environmental outputs to propose a facile framework for evaluating the prospects of building Retrofits on a macro-scale. Here, an extensive optimisation approach integrating life cycle cost evaluation and an environmental assessment is formulated, involving coordinated on-site survey, modelling and data analytics. The model framework is corroborated by a case study analysis focused on identifying the optimal Retrofit solution for low-rise office buildings in Shanghai. Simulation results show that modifications in occupancy regime, improvements in natural ventilation, heating and cooling systems, cool roofs insulation and installation of renewable energy systems (such as geothermal and solar/photovoltaics) are the basic Retrofit measures for a macro-scale intervention to attain maximum life-cycle benefits. Individually, an estimated investment cost for each Retrofit project varied within RMB 1 – 5 million with a payback period
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a target driven decision making multi layered approach for optimal building Retrofits via agglomerative hierarchical clustering a case study in china
Building and Environment, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, H Zhao, Y TangAbstract:Abstract The optimization of energy, environmental and economic (3E) outcomes is the principal approach to identifying Retrofit solutions for a sustainable built environment. By applying this approach and defining a set energy performance target, this study proposes a makeshift decision framework that integrates a data mining procedure (agglomerative hierarchical clustering (AHC)) into the decision-making process to provide a simplified 3E assessment of building Retrofits on a macro-scale. The framework comprises of three model layers: (1) a building stock aggregation model, (2) an individualistic 3E model that provides the sensitivity analysis for (3) a life cycle cost-environmental assessment model. The framework is demonstrated and validated with a case study aimed at achieving the set energy targets for low-rise office buildings (LOB) in Shanghai. The model defines 4 prototypical buildings for the existing LOB blocks, which are used for the individual evaluation of 12 commonly applied Retrofit measures. Subsequently, a simplified LCC-environmental assessment was performed to evaluate the 3E prospects of 2048 possible Retrofit combinations. The results uniquely identify Retrofit solutions to attain the set energy performance targets and optimal building performance. Furthermore, the decision criteria for different investment scenarios are discussed. Overall, this study provides building investors an innovative framework for a facile and holistic assessment of a broader range of Retrofit alternatives based on set performance targets.
Alexandra Troi - One of the best experts on this subject based on the ideXlab platform.
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energy Retrofit and conservation of a historic building using multi objective optimization and an analytic hierarchy process
Energy and Buildings, 2017Co-Authors: Francesca Roberti, Ulrich Filippi Oberegger, Elena Lucchi, Alexandra TroiAbstract:Abstract When deciding on the best historic building Retrofit, energy savings and thermal comfort can be quantitatively evaluated using an energy model, whereas conservation compatibility is intrinsically qualitative and reflects the perspective of the local heritage authority. We present a methodology that permits finding and comparing optimal Retrofits for historic buildings in a multi-perspective and quantitative way. We use an analytic hierarchy process to quantify conservation compatibility by distilling a conservation score from the opinions of 10 experts in the field. This score, along with energy needs for heating and cooling and thermal comfort, are the three targets of a multi-objective optimization aimed at identifying optimal Retrofits for a medieval building in the north of Italy, destined to become a museum. Retrofit measures considered were different kinds of external and internal envelope insulation, improvement of airtightness, replacement of windows, and ventilative cooling. The result is a portfolio of optimal Retrofits that cover the whole range of conservation compatibility. We show that in the analyzed case heritage preservation is compatible with a four-fold reduction in energy needs at a high thermal comfort level. Even higher energy savings are only achievable at the cost of heritage degradation.
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energy Retrofit and conservation of a historic building using multi objective optimization and an analytic hierarchy process
Energy and Buildings, 2017Co-Authors: Francesca Roberti, Ulrich Filippi Oberegger, Elena Lucchi, Alexandra TroiAbstract:Abstract When deciding on the best historic building Retrofit, energy savings and thermal comfort can be quantitatively evaluated using an energy model, whereas conservation compatibility is intrinsically qualitative and reflects the perspective of the local heritage authority. We present a methodology that permits finding and comparing optimal Retrofits for historic buildings in a multi-perspective and quantitative way. We use an analytic hierarchy process to quantify conservation compatibility by distilling a conservation score from the opinions of 10 experts in the field. This score, along with energy needs for heating and cooling and thermal comfort, are the three targets of a multi-objective optimization aimed at identifying optimal Retrofits for a medieval building in the north of Italy, destined to become a museum. Retrofit measures considered were different kinds of external and internal envelope insulation, improvement of airtightness, replacement of windows, and ventilative cooling. The result is a portfolio of optimal Retrofits that cover the whole range of conservation compatibility. We show that in the analyzed case heritage preservation is compatible with a four-fold reduction in energy needs at a high thermal comfort level. Even higher energy savings are only achievable at the cost of heritage degradation.
Collins I Ezeh - One of the best experts on this subject based on the ideXlab platform.
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coordinated energy environmental economic optimisation of building Retrofits for optimal energy performance on a macro scale a life cycle cost based evaluation
Energy Conversion and Management, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, Y Tang, Y JinAbstract:Abstract Given that energy-efficiency policies focus on meso- or macro-scale interventions, it is imperative to establish a macro-scale evaluation approach for building Retrofits to support policymaking in building energy conservation, management and sustainability. This study applies the generic idea of optimising the energy, economic and environmental outputs to propose a facile framework for evaluating the prospects of building Retrofits on a macro-scale. Here, an extensive optimisation approach integrating life cycle cost evaluation and an environmental assessment is formulated, involving coordinated on-site survey, modelling and data analytics. The model framework is corroborated by a case study analysis focused on identifying the optimal Retrofit solution for low-rise office buildings in Shanghai. Simulation results show that modifications in occupancy regime, improvements in natural ventilation, heating and cooling systems, cool roofs insulation and installation of renewable energy systems (such as geothermal and solar/photovoltaics) are the basic Retrofit measures for a macro-scale intervention to attain maximum life-cycle benefits. Individually, an estimated investment cost for each Retrofit project varied within RMB 1 – 5 million with a payback period
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a target driven decision making multi layered approach for optimal building Retrofits via agglomerative hierarchical clustering a case study in china
Building and Environment, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, H Zhao, Y TangAbstract:Abstract The optimization of energy, environmental and economic (3E) outcomes is the principal approach to identifying Retrofit solutions for a sustainable built environment. By applying this approach and defining a set energy performance target, this study proposes a makeshift decision framework that integrates a data mining procedure (agglomerative hierarchical clustering (AHC)) into the decision-making process to provide a simplified 3E assessment of building Retrofits on a macro-scale. The framework comprises of three model layers: (1) a building stock aggregation model, (2) an individualistic 3E model that provides the sensitivity analysis for (3) a life cycle cost-environmental assessment model. The framework is demonstrated and validated with a case study aimed at achieving the set energy targets for low-rise office buildings (LOB) in Shanghai. The model defines 4 prototypical buildings for the existing LOB blocks, which are used for the individual evaluation of 12 commonly applied Retrofit measures. Subsequently, a simplified LCC-environmental assessment was performed to evaluate the 3E prospects of 2048 possible Retrofit combinations. The results uniquely identify Retrofit solutions to attain the set energy performance targets and optimal building performance. Furthermore, the decision criteria for different investment scenarios are discussed. Overall, this study provides building investors an innovative framework for a facile and holistic assessment of a broader range of Retrofit alternatives based on set performance targets.
Wu Deng - One of the best experts on this subject based on the ideXlab platform.
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coordinated energy environmental economic optimisation of building Retrofits for optimal energy performance on a macro scale a life cycle cost based evaluation
Energy Conversion and Management, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, Y Tang, Y JinAbstract:Abstract Given that energy-efficiency policies focus on meso- or macro-scale interventions, it is imperative to establish a macro-scale evaluation approach for building Retrofits to support policymaking in building energy conservation, management and sustainability. This study applies the generic idea of optimising the energy, economic and environmental outputs to propose a facile framework for evaluating the prospects of building Retrofits on a macro-scale. Here, an extensive optimisation approach integrating life cycle cost evaluation and an environmental assessment is formulated, involving coordinated on-site survey, modelling and data analytics. The model framework is corroborated by a case study analysis focused on identifying the optimal Retrofit solution for low-rise office buildings in Shanghai. Simulation results show that modifications in occupancy regime, improvements in natural ventilation, heating and cooling systems, cool roofs insulation and installation of renewable energy systems (such as geothermal and solar/photovoltaics) are the basic Retrofit measures for a macro-scale intervention to attain maximum life-cycle benefits. Individually, an estimated investment cost for each Retrofit project varied within RMB 1 – 5 million with a payback period
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a target driven decision making multi layered approach for optimal building Retrofits via agglomerative hierarchical clustering a case study in china
Building and Environment, 2021Co-Authors: Y Hong, Collins I Ezeh, Wu Deng, Sh Hong, H Zhao, Y TangAbstract:Abstract The optimization of energy, environmental and economic (3E) outcomes is the principal approach to identifying Retrofit solutions for a sustainable built environment. By applying this approach and defining a set energy performance target, this study proposes a makeshift decision framework that integrates a data mining procedure (agglomerative hierarchical clustering (AHC)) into the decision-making process to provide a simplified 3E assessment of building Retrofits on a macro-scale. The framework comprises of three model layers: (1) a building stock aggregation model, (2) an individualistic 3E model that provides the sensitivity analysis for (3) a life cycle cost-environmental assessment model. The framework is demonstrated and validated with a case study aimed at achieving the set energy targets for low-rise office buildings (LOB) in Shanghai. The model defines 4 prototypical buildings for the existing LOB blocks, which are used for the individual evaluation of 12 commonly applied Retrofit measures. Subsequently, a simplified LCC-environmental assessment was performed to evaluate the 3E prospects of 2048 possible Retrofit combinations. The results uniquely identify Retrofit solutions to attain the set energy performance targets and optimal building performance. Furthermore, the decision criteria for different investment scenarios are discussed. Overall, this study provides building investors an innovative framework for a facile and holistic assessment of a broader range of Retrofit alternatives based on set performance targets.
