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Building Energy Performance Research – Current Approaches and Future Trends
Energy is a central issue in the sustainability debate affecting all three of its components, environmental, social, and economic sustainability. Buildings account for about 30% of global energy use and more than 55% of global electricity consumption. In the US, the building sector, including both residential and commercial buildings, accounts for 39% of the total US primary energy use. While significant improvements have been achieved in building energy efficiency, societal use of energy in the US and across the world is still projected to increase due to a combination of population and economic growth. A strong need exists for building energy performance research to better define and understand existing challenges and barriers facing the needed evolution to net-zero energy buildings and to develop methods of overcoming them. Building energy performance research methodologies can be categorized into four main categories: lab experiments, simulation, field experiments, and field studies. Each of these methodological approaches offers a range of opportunities and limitation. This chapter provides an overview of these different methodologies and offers guidance on how to select an appropriate methodology for research projects. The chapter also provides an overview of important and emerging areas of energy performance research, as well as a discussion of the tools and equipment typically used in these projects. Three case studies representing applied examples of each of these methodological approaches are also presented to further illustrate the advantages and disadvantages of each.
Building Energy Performance Research – Current Approaches and Future Trends
Energy is a central issue in the sustainability debate affecting all three of its components, environmental, social, and economic sustainability. Buildings account for about 30% of global energy use and more than 55% of global electricity consumption. In the US, the building sector, including both residential and commercial buildings, accounts for 39% of the total US primary energy use. While significant improvements have been achieved in building energy efficiency, societal use of energy in the US and across the world is still projected to increase due to a combination of population and economic growth. A strong need exists for building energy performance research to better define and understand existing challenges and barriers facing the needed evolution to net-zero energy buildings and to develop methods of overcoming them. Building energy performance research methodologies can be categorized into four main categories: lab experiments, simulation, field experiments, and field studies. Each of these methodological approaches offers a range of opportunities and limitation. This chapter provides an overview of these different methodologies and offers guidance on how to select an appropriate methodology for research projects. The chapter also provides an overview of important and emerging areas of energy performance research, as well as a discussion of the tools and equipment typically used in these projects. Three case studies representing applied examples of each of these methodological approaches are also presented to further illustrate the advantages and disadvantages of each.
Building Energy Performance Research – Current Approaches and Future Trends
Azari, Rahman (editor) / Rashed-Ali, Hazem (editor) / Rashed-Ali, Hazem (author)
Research Methods in Building Science and Technology ; Chapter: 3 ; 51-70
2021-09-10
20 pages
Article/Chapter (Book)
Electronic Resource
English
Building performance , Energy efficiency , Energy performance research , Whole building energy simulation , Laboratory experiments , Field experiments , Field studies , Post occupancy evaluation , Energy use simulation software , Performance simulation plug ins , Augmented reality , Cool roofs , Performance monitoring Engineering , Building Construction and Design , Building Materials , Building Repair and Maintenance , Data-driven Science, Modeling and Theory Building
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