The Experts below are selected from a list of 86895 Experts worldwide ranked by ideXlab platform
Hiroaki Kondo - One of the best experts on this subject based on the ideXlab platform.
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influence of air conditioning waste heat on air temperature in tokyo during summer numerical experiments using an urban canopy model coupled with a Building Energy model
Journal of Applied Meteorology and Climatology, 2007Co-Authors: Yukitaka Ohashi, Hiroaki Kondo, Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Yujiro HiranoAbstract:Abstract A coupled model consisting of a multilayer urban canopy model and a Building Energy Analysis model has been developed to investigate the diurnal variations of outdoor air temperature in the office areas of Tokyo, Japan. Observations and numerical experiments have been performed for the two office areas in Tokyo. The main results obtained in this study are as follows. The coupled model has accurately simulated the air temperature for a weekday case in which released waste heat has been calculated from the Energy consumption and cooling load in the Buildings. The model has also simulated the air temperature for a holiday case. However, the waste heat from the Buildings has little influence on the outdoor temperatures and can be neglected because of the low working activity in the Buildings. The waste heat from the air conditioners has caused a temperature rise of 1°–2°C or more on weekdays in the Tokyo office areas. This heating promotes the heat-island phenomenon in Tokyo on weekdays. Thus, it is ...
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development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban Buildings Energy demands
Applied Energy, 2003Co-Authors: Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Hiroaki KondoAbstract:One of the detrimental effects caused by the urban warming phenomena is the increase of Energy consumption due to the artificial air-conditioning of Buildings in summer. In greater Tokyo, the temperature sensitivity of the peak electricity demand reaches up to 3%/°C in recent years, and about 1.5 GW of new demand is required as the daily maximum temperature increases by 1.0 °C. This huge demand for summer electricity is considered to be one of the common characteristics of big cities in Asian countries. In order to simulate this increase in cooling Energy demands and to evaluate urban warming countermeasures from the viewpoint of Buildings' Energy savings, a numerical simulation system was developed adopting a new one-dimensional urban canopy meteorological model coupled with a simple sub-model for the Building Energy Analysis. Then, the system was applied to the Ootemachi area, a central business district in Tokyo. Preliminary verification of the simulation system using observational data on the outdoor and indoor thermal conditions showed good results. Simulations also indicated that the cut-off of the anthropogenic heat from air-conditioning facilities could produce a cooling Energy saving up to 6% with the outdoor air-temperature decrease by more than 1 °C in the summer urban canopy over Ootemachi area.
Wei Tian - One of the best experts on this subject based on the ideXlab platform.
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comparative study on machine learning for urban Building Energy Analysis
Procedia Engineering, 2015Co-Authors: Lai Wei, Wei Tian, Elisabete A Silva, Ruchi Choudhary, Qingxin Meng, Song YangAbstract:There has been an increasing interest in applying machine learning methods in urban Energy assessment. This research implemented six statistical learning methods in estimating domestic gas and electricity using both physical and socio-economic explanatory variables in London. The input variables include dwelling types, household tenure, household composition, council tax band, population age groups, etc. Six machine learning methods are two linear approaches (full linear and Lasso) and four non-parametric methods (MARS multivariate adaptive regression spline, SVM support vector machine, bagging MARS, and boosting). The results indicate that all the four non-parametric models outperform two linear models. The SVM models perform the best among these models for both gas and electricity. The bagging MARS performs only a little worse than the SVM for gas use prediction. The Lasso model has similar predictive capability to the full linear model in this case.
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A review of sensitivity Analysis methods in Building Energy Analysis
Renewable and Sustainable Energy Reviews, 2013Co-Authors: Wei TianAbstract:Sensitivity Analysis plays an important role in Building Energy Analysis. It can be used to identify the key variables affecting Building thermal performance from both Energy simulation models and observational study. This paper is focused on the application of sensitivity Analysis in the field of Building performance Analysis. First, the typical steps of implementation of sensitivity Analysis in Building Analysis are described. A number of practical issues in applying sensitivity Analysis are also discussed, such as the determination of input variations, the choice of Building Energy programs, how to reduce computational time for Energy models. Second, the sensitivity Analysis methods used in Building performance Analysis are reviewed. These methods can be categorized into local and global sensitivity Analysis. The global methods can be further divided into four approaches: regression, screening-based, variance-based, and meta-model sensitivity Analysis. Recent research has been concentrated on global methods because they can explore the whole input space and most of them allow the self-verification, i.e., how much variance of the model output (Building Energy consumption) has been explained by the method used in the Analysis. Third, we discuss several important topics, which are often overlooked in the domain of Building performance Analysis. These topics include the application of sensitivity Analysis in observational study, how to deal with correlated inputs, the computation of the variations of sensitivity index, and the software issues. Lastly, the practical guidance is given based on the advantages and disadvantaged of different sensitivity Analysis methods in assessing Building thermal performance. The recommendations for further research in the future are made to provide more robust Analysis in assessing Building Energy performance.
Yukihiro Kikegawa - One of the best experts on this subject based on the ideXlab platform.
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influence of air conditioning waste heat on air temperature in tokyo during summer numerical experiments using an urban canopy model coupled with a Building Energy model
Journal of Applied Meteorology and Climatology, 2007Co-Authors: Yukitaka Ohashi, Hiroaki Kondo, Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Yujiro HiranoAbstract:Abstract A coupled model consisting of a multilayer urban canopy model and a Building Energy Analysis model has been developed to investigate the diurnal variations of outdoor air temperature in the office areas of Tokyo, Japan. Observations and numerical experiments have been performed for the two office areas in Tokyo. The main results obtained in this study are as follows. The coupled model has accurately simulated the air temperature for a weekday case in which released waste heat has been calculated from the Energy consumption and cooling load in the Buildings. The model has also simulated the air temperature for a holiday case. However, the waste heat from the Buildings has little influence on the outdoor temperatures and can be neglected because of the low working activity in the Buildings. The waste heat from the air conditioners has caused a temperature rise of 1°–2°C or more on weekdays in the Tokyo office areas. This heating promotes the heat-island phenomenon in Tokyo on weekdays. Thus, it is ...
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development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban Buildings Energy demands
Applied Energy, 2003Co-Authors: Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Hiroaki KondoAbstract:One of the detrimental effects caused by the urban warming phenomena is the increase of Energy consumption due to the artificial air-conditioning of Buildings in summer. In greater Tokyo, the temperature sensitivity of the peak electricity demand reaches up to 3%/°C in recent years, and about 1.5 GW of new demand is required as the daily maximum temperature increases by 1.0 °C. This huge demand for summer electricity is considered to be one of the common characteristics of big cities in Asian countries. In order to simulate this increase in cooling Energy demands and to evaluate urban warming countermeasures from the viewpoint of Buildings' Energy savings, a numerical simulation system was developed adopting a new one-dimensional urban canopy meteorological model coupled with a simple sub-model for the Building Energy Analysis. Then, the system was applied to the Ootemachi area, a central business district in Tokyo. Preliminary verification of the simulation system using observational data on the outdoor and indoor thermal conditions showed good results. Simulations also indicated that the cut-off of the anthropogenic heat from air-conditioning facilities could produce a cooling Energy saving up to 6% with the outdoor air-temperature decrease by more than 1 °C in the summer urban canopy over Ootemachi area.
F Varela - One of the best experts on this subject based on the ideXlab platform.
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Building Energy Analysis bea a methodology to assess Building Energy labelling
Energy and Buildings, 2007Co-Authors: Francisco J Rey, E Velasco, F VarelaAbstract:Abstract The Building sector, one of the fastest growing in terms of Energy consumption, accounts for over 40% of final Energy, a figure which is growing. Building Energy legislation at EU level is found in EU Directive 93/73/CEE [Directive 93/73/EEC of the Council of 13 September 1993 on the Limitation of the Carbon Dioxide Emissions through the Improvement of Energy Efficiency (SAVE) 1993], EU directive 2002/91/CE called Energy Performance of Buildings Directive EPBD [Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the Energy Performance of Buildings] and the EU Green Paper [Commission of the European Committees, Green Paper, Towards an European Strategy for the Security of Energy Supply, Brussels, 2000]. This give a clear view of the need and priority that the EU has for reducing Energy consumption in the Building sector, both for furthering in compliance of international agreements (Kyoto protocol and forthcoming commitments) as well as for reducing its Energy dependency, and hence for leading its development towards sustainability. The implementation of the EPBD has as its primary aim the establishment and application of Energy certification programs. The aim of Energy certification programs is to guarantee Energy saving and to reduce CO2 emission as a consequence of the EU commitment to comply with the Kyoto protocol. Obtaining Energy effectiveness labelling means the achievement of Energy quality, allowing a decrease in CO2 kilograms emitted from lighting, heating and cooling Buildings without any loss in terms of comfort. This work proposes a new methodology called Building Energy Analysis (BEA) that allows implementation of EPBD on Energy certification of Buildings. In this paper we analyse the different steps of BEA methodology (heat and cooling load, Energy demand, Energy consumption and CO2 emission). The program ends with Energy labelling of the Building. In addition, we present a practical study of a small health centre that is analyzed with BEA methodology and we compare it with other Energy simulation programs like Hourly Analysis Program (HAP) and PowerDOE. The results of Energy labelling are very similar for both simulation programs.
Yutaka Genchi - One of the best experts on this subject based on the ideXlab platform.
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influence of air conditioning waste heat on air temperature in tokyo during summer numerical experiments using an urban canopy model coupled with a Building Energy model
Journal of Applied Meteorology and Climatology, 2007Co-Authors: Yukitaka Ohashi, Hiroaki Kondo, Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Yujiro HiranoAbstract:Abstract A coupled model consisting of a multilayer urban canopy model and a Building Energy Analysis model has been developed to investigate the diurnal variations of outdoor air temperature in the office areas of Tokyo, Japan. Observations and numerical experiments have been performed for the two office areas in Tokyo. The main results obtained in this study are as follows. The coupled model has accurately simulated the air temperature for a weekday case in which released waste heat has been calculated from the Energy consumption and cooling load in the Buildings. The model has also simulated the air temperature for a holiday case. However, the waste heat from the Buildings has little influence on the outdoor temperatures and can be neglected because of the low working activity in the Buildings. The waste heat from the air conditioners has caused a temperature rise of 1°–2°C or more on weekdays in the Tokyo office areas. This heating promotes the heat-island phenomenon in Tokyo on weekdays. Thus, it is ...
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development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban Buildings Energy demands
Applied Energy, 2003Co-Authors: Yukihiro Kikegawa, Yutaka Genchi, Hiroshi Yoshikado, Hiroaki KondoAbstract:One of the detrimental effects caused by the urban warming phenomena is the increase of Energy consumption due to the artificial air-conditioning of Buildings in summer. In greater Tokyo, the temperature sensitivity of the peak electricity demand reaches up to 3%/°C in recent years, and about 1.5 GW of new demand is required as the daily maximum temperature increases by 1.0 °C. This huge demand for summer electricity is considered to be one of the common characteristics of big cities in Asian countries. In order to simulate this increase in cooling Energy demands and to evaluate urban warming countermeasures from the viewpoint of Buildings' Energy savings, a numerical simulation system was developed adopting a new one-dimensional urban canopy meteorological model coupled with a simple sub-model for the Building Energy Analysis. Then, the system was applied to the Ootemachi area, a central business district in Tokyo. Preliminary verification of the simulation system using observational data on the outdoor and indoor thermal conditions showed good results. Simulations also indicated that the cut-off of the anthropogenic heat from air-conditioning facilities could produce a cooling Energy saving up to 6% with the outdoor air-temperature decrease by more than 1 °C in the summer urban canopy over Ootemachi area.
