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Carbonell Jordi - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring and modelling energy efficiency of municipal public buildings: case study in Catalonia region
    2020
    Co-Authors: Cipriano Xavier, Carbonell Jordi
    Abstract:

    Energy efficiency benchmarking can be used to monitor changes in the overall efficiency of buildings. Benchmarking models, based on energy efficiency indicators, are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management. For the last decade, some governments have used these tools to define their building regulations (Santamouris, M., et al., 2005. Energy performance of residential buildings book. UK: James and James/Earthscan. ISBN: 1-902916-49-2, Chung, W., Hui, Y.V., and Miu Lam, Y., 2006. Benchmarking the energy efficiency of commercial buildings. Applied Energy, 83, 1–14). This paper tries to go further, integrating a benchmarking and a modelling process, into the same energy efficiency analysis. The connections between the energy use intensities (EUIs) and the characteristic building factors are modelled using neural network techniques. The process is divided into two stages: the data acquisition stage and the benchmarking and modelling stage. The benchmarking and modelling stage is focused on the adjustment of these EUIs within the climatic conditions (with a severity climate index method) and the development of a prediction model for calculating the relationship between these climate-adjusted EUIs and the significant factors of a building. In order to validate this methodology, an application to schools in Catalonia is presented. Additionally, the use of the artificial neural network (ANN) benchmark model for predicting potential energy savings from retrofit projects was evaluated. Some of the input variables were modified to reflect potential energy savings from a retrofit project, and the new input set was simulated with the ANN model. The preliminary results show that the developed ANN model can be used to predict energy savings from retrofit project

Qunfang Huang - One of the best experts on this subject based on the ideXlab platform.

  • Urban heat island research from 1991 to 2015: a bibliometric analysis
    Theoretical and Applied Climatology, 2017
    Co-Authors: Qunfang Huang
    Abstract:

    A bibliometric analysis based on the Science Citation Index-Expanded (SCI-Expanded) database from the Web of Science was performed to review urban heat island (UHI) research from 1991 to 2015 and statistically assess its developments, trends, and directions. In total, 1822 papers published in 352 journals over the past 25 years were analyzed for scientific output; citations; subject categories; major journals; outstanding keywords; and leading countries, institutions, authors, and research collaborations. The number of UHI-related publications has continuously increased since 1991. Meteorology atmospheric sciences, environmental sciences, and construction building technology were the three most frequent subject categories. Building and Environment, International Journal of Climatology, and Theoretical and Applied Climatology were the three most popular publishing journals. The USA and China were the two leading countries in UHI research, contributing 49.56% of the total articles. Chinese Academy of Science, Arizona State University, and China Meteorological Administration published the most UHI articles. Weng QH and Santamouris M were the two most prolific authors. Author keywords were classified into four major groups: (1) research methods and indicators, e.g., remote sensing, field measurement, and models; (2) generation factors, e.g., impervious urban surfaces, urban geometry, waste heat, vegetation, and pollutants; (3) environmental effects, e.g., urban climate, heat wave, ecology, and pollution; and (4) mitigation and adaption strategies, e.g., roof technology cooling, reflective cooling, vegetation cooling, and urban geometry cooling. A comparative analysis of popular issues revealed that UHI determination (intensity, heat source, supporting techniques) remains the central topic, whereas UHI impacts and mitigation strategies are becoming the popular issues that will receive increasing scientific attention in the future. Modeling will continue to be the leading research method, and remote sensing will be used more widely. Additionally, a combination of remote sensing and field measurements with models is expected.

J. Carbonell - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring and modelling energy efficiency of municipal public buildings: case study in Catalonia region
    International Journal of Sustainable Energy, 2009
    Co-Authors: Xavier Cipriano, J. Carbonell, Jordi Cipriano
    Abstract:

    Energy efficiency benchmarking can be used to monitor changes in the overall efficiency of buildings. Benchmarking models, based on energy efficiency indicators, are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management. For the last decade, some governments have used these tools to define their building regulations (Santamouris, M., et al., 2005. Energy performance of residential buildings book. UK: James and James/Earthscan. ISBN: 1-902916-49-2, Chung, W., Hui, Y.V., and Miu Lam, Y., 2006. Benchmarking the energy efficiency of commercial buildings. Applied Energy, 83, 1–14). This paper tries to go further, integrating a benchmarking and a modelling process, into the same energy efficiency analysis. The connections between the energy use intensities (EUIs) and the characteristic building factors are modelled using neural network techniques. The process is divided into two stages: the data acquisition stage and the benchmarking and mode...

  • Monitoring and modelling the energy efficiency of municipal public buildings- case study in Catalonia
    2007
    Co-Authors: Xavier Cipriano, J. Carbonell
    Abstract:

    Energy-efficiency benchmarking can be used to moni tor changes in overall efficiency of buildings. Bench marking models, based on energy-efficiency indicators are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management . For the last decade, some governments have used these tools to define their building reg ulations (M. Santamouris, 2005, W. Chung 2005). This paper tries to goes further, integrating a benchmarking and a modelling process, in the same energy efficiency analysis. The connections between the energy-use intensities (EUIs) and the characteristic building factors are modelled using network techniques. The process is divided in two stages: the data acquisition stage, and the benchmarking and modelling stage. The benchmarking and modelling stage is focused in the adjustment of these EUIs within the climate conditions (with a degree days modified method) and the develop ment of a prediction model for calculating the relationship between these climate adjusted EUI and the significant factors of a building. In order to validate this methodology, an application to schools in Catalonia is presented .

Xavier Cipriano - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring and modelling energy efficiency of municipal public buildings: case study in Catalonia region
    International Journal of Sustainable Energy, 2009
    Co-Authors: Xavier Cipriano, J. Carbonell, Jordi Cipriano
    Abstract:

    Energy efficiency benchmarking can be used to monitor changes in the overall efficiency of buildings. Benchmarking models, based on energy efficiency indicators, are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management. For the last decade, some governments have used these tools to define their building regulations (Santamouris, M., et al., 2005. Energy performance of residential buildings book. UK: James and James/Earthscan. ISBN: 1-902916-49-2, Chung, W., Hui, Y.V., and Miu Lam, Y., 2006. Benchmarking the energy efficiency of commercial buildings. Applied Energy, 83, 1–14). This paper tries to go further, integrating a benchmarking and a modelling process, into the same energy efficiency analysis. The connections between the energy use intensities (EUIs) and the characteristic building factors are modelled using neural network techniques. The process is divided into two stages: the data acquisition stage and the benchmarking and mode...

  • Monitoring and modelling the energy efficiency of municipal public buildings- case study in Catalonia
    2007
    Co-Authors: Xavier Cipriano, J. Carbonell
    Abstract:

    Energy-efficiency benchmarking can be used to moni tor changes in overall efficiency of buildings. Bench marking models, based on energy-efficiency indicators are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management . For the last decade, some governments have used these tools to define their building reg ulations (M. Santamouris, 2005, W. Chung 2005). This paper tries to goes further, integrating a benchmarking and a modelling process, in the same energy efficiency analysis. The connections between the energy-use intensities (EUIs) and the characteristic building factors are modelled using network techniques. The process is divided in two stages: the data acquisition stage, and the benchmarking and modelling stage. The benchmarking and modelling stage is focused in the adjustment of these EUIs within the climate conditions (with a degree days modified method) and the develop ment of a prediction model for calculating the relationship between these climate adjusted EUI and the significant factors of a building. In order to validate this methodology, an application to schools in Catalonia is presented .

Jordi Cipriano - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring and modelling energy efficiency of municipal public buildings: case study in Catalonia region
    International Journal of Sustainable Energy, 2009
    Co-Authors: Xavier Cipriano, J. Carbonell, Jordi Cipriano
    Abstract:

    Energy efficiency benchmarking can be used to monitor changes in the overall efficiency of buildings. Benchmarking models, based on energy efficiency indicators, are valuable tools for both public and private stakeholders because they allow an improvement in the building energy management. For the last decade, some governments have used these tools to define their building regulations (Santamouris, M., et al., 2005. Energy performance of residential buildings book. UK: James and James/Earthscan. ISBN: 1-902916-49-2, Chung, W., Hui, Y.V., and Miu Lam, Y., 2006. Benchmarking the energy efficiency of commercial buildings. Applied Energy, 83, 1–14). This paper tries to go further, integrating a benchmarking and a modelling process, into the same energy efficiency analysis. The connections between the energy use intensities (EUIs) and the characteristic building factors are modelled using neural network techniques. The process is divided into two stages: the data acquisition stage and the benchmarking and mode...