The Experts below are selected from a list of 96 Experts worldwide ranked by ideXlab platform
Yikai Juan - One of the best experts on this subject based on the ideXlab platform.
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optimal decision model for sustainable hospital building Renovation a case study of a vacant school building converting into a community public hospital
International Journal of Environmental Research and Public Health, 2016Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel CastrolacoutureAbstract:Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable Renovation strategies, considering trade-offs among minimal Renovation Cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly declining birth rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital Renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.
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GAA-Based Decision Approach for Hospital Building Renovation Management
Advanced Materials Research, 2011Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Guang Bin WangAbstract:More and more attention has been paid to hospital facilities since modern pandemics have emerged such as SARS and avian influenza. Energy consumption by buildings accounts for 20-40% of energy use in developed countries, so many global organizations make efforts to develop sustainable technologies or materials to create a sustainable environment, and to reduce energy consumption when renovating building. Therefore, maintaining high standards of hygiene and reducing energy consumption has become the major task for hospital buildings. This study develops an integrated decision support system to assess existing hospital building conditions and to recommend an optimal scheme of sustainable Renovation actions, considering trade-offs between Renovation Cost, improved building quality, and environmental impacts. A hybrid approach that combines the A* graph search algorithm with genetic algorithms (GA) is used to analyze all possible Renovation actions and their trade-offs to develop the optimal solution. A simulated hospital Renovation project is established to demonstrate the system. The result reveals the system can solve complicated and large-scale combinational, discrete and determinate problems such as the hospital Renovation project, and also improve traditional building condition assessment to be more effective and efficient.
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a hybrid decision support system for sustainable office building Renovation and energy performance improvement
Energy and Buildings, 2010Co-Authors: Yikai Juan, Jie WangAbstract:Abstract Energy consumption of buildings accounts for around 20–40% of all energy consumed in advanced countries. Over the last decade, more and more global organizations are investing significant resources to create sustainably built environments, emphasizing sustainable building Renovation processes to reduce energy consumption and carbon dioxide emissions. This study develops an integrated decision support system to assess existing office building conditions and to recommend an optimal set of sustainable Renovation actions, considering trade-offs between Renovation Cost, improved building quality, and environmental impacts. A hybrid approach that combines A* graph search algorithm with genetic algorithms (GA) is used to analyze all possible Renovation actions and their trade-offs to develop the optimal solution. A two-stage system validation is performed to demonstrate the practical application of the hybrid approach: zero-one goal programming (ZOGP) and genetic algorithms are adopted to validate the effectiveness of the algorithm. A real-world Renovation project is introduced to validate differences in energy performance projected for the Renovation solution suggested by the system. The results reveal that the proposed hybrid system is more computationally effective than either ZOGP or GA alone. The system's suggested Renovation actions would provide substantial energy performance improvements to the real project if implemented.
Federica Zagarella - One of the best experts on this subject based on the ideXlab platform.
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Costs Assessment for Building Renovation Cost-optimal Analysis☆
Energy Procedia, 2015Co-Authors: Simone Ferrari, Federica ZagarellaAbstract:Abstract In the frame of the IEA-EBC project “Cost-Effective Energy and Carbon Emissions Optimization in Building Renovation”, the Politecnico di Milano research group elaborated the information required to perform the Renovation measures Cost-optimal analysis of two case study buildings, representative of the most common ones of the Italian residential stock. Renovation Costs have been composed accurately and, additionally, an analysis of several references has been accomplished for collecting national energy consumptions and GHG emissions values, current and projected, and energy career indexes. Adopted approach can provide insights for analogous researches and outcomes can be considered for similar retrofit cases in Italy.
Simone Ferrari - One of the best experts on this subject based on the ideXlab platform.
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Costs Assessment for Building Renovation Cost-optimal Analysis☆
Energy Procedia, 2015Co-Authors: Simone Ferrari, Federica ZagarellaAbstract:Abstract In the frame of the IEA-EBC project “Cost-Effective Energy and Carbon Emissions Optimization in Building Renovation”, the Politecnico di Milano research group elaborated the information required to perform the Renovation measures Cost-optimal analysis of two case study buildings, representative of the most common ones of the Italian residential stock. Renovation Costs have been composed accurately and, additionally, an analysis of several references has been accomplished for collecting national energy consumptions and GHG emissions values, current and projected, and energy career indexes. Adopted approach can provide insights for analogous researches and outcomes can be considered for similar retrofit cases in Italy.
Daniel Castrolacouture - One of the best experts on this subject based on the ideXlab platform.
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optimal decision model for sustainable hospital building Renovation a case study of a vacant school building converting into a community public hospital
International Journal of Environmental Research and Public Health, 2016Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel CastrolacoutureAbstract:Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable Renovation strategies, considering trade-offs among minimal Renovation Cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly declining birth rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital Renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.
Ergo Pikas - One of the best experts on this subject based on the ideXlab platform.
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energy and investment intensity of integrated Renovation and 2030 Cost optimal savings
Energy and Buildings, 2014Co-Authors: Jarek Kurnitski, Kalle Kuusk, Teet Tark, Aivar Uutar, Targo Kalamees, Ergo PikasAbstract:Abstract Energy and investment intensity of integrated Renovation variants were studied to determine Cost optimal energy savings by 2030 as a part of new Estonian energy roadmap preparation. For major residential and non-residential building types, 3–4 Renovation variants with different ambition were defined, all including the installation of adequate ventilation system in order not to compromise indoor climate. Cost optimal energy performance level of Renovation corresponded in most cases to minimum energy performance requirements of new buildings. In most of building types Cost optimal Renovation Cost was slightly below or higher of 200 €/m2 which could be seen as major barrier in residential buildings needing support schemes in order to realize the potential. Cost optimal energy savings were remarkable in heating energy, which was reduced by factor of 3 to 4, but electricity use tended to increase in most of building types while retail and industrial buildings showed strong electricity reduction potential. The reduction in electricity use by 2030 was without and with new construction 7 and −8%, respectively. By 2030 Cost optimal Renovation saved 16% of final energy, but with the inclusion of new construction the reductions in final energy and non-renewable primary energy were 8% and 0% respectively.