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2014 | OriginalPaper | Chapter

High Performance Buildings: Measures, Complexity, and Current Trends

Author : Bryan Eisenhower

Published in: Cities for Smart Environmental and Energy Futures

Publisher: Springer Berlin Heidelberg

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Abstract

Most people are intimately involved with the built environment, while unfamiliar with detailed aspects of its design and operation. Buildings are everywhere and are designed and equipped using an agglomeration of many different design elements or puzzle pieces. With the recent trends towards a more energy efficient world, there has been an attempt to make buildings more efficient by using highly efficient pieces of the design puzzle. Not always does the integration of these subsystems result in an efficient building as a whole. The goal of this chapter is to highlight some of these boundaries and current engineering trends to surpass these obstacles. The discussion will be focused on large commercial buildings in the United States, while similar concerns are prevalent in other building types and in other global locations. We start by highlighting different ways that performance is measured and review the different design elements and equipment choices that are available to construct a building. The large number of interacting components creates complexity and a challenge to obtain a high performance structure. Specifically, technology barriers to realizing high performance buildings through this integration process lie in the ability to create useful models, data analysis tools, and effective control strategies. The chapter concludes with some current applied research in building systems that address the complexities in building systems and methods being developed to overcome the barriers that lie in the way.

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Literature
go back to reference Anderson M, Buehner M, Young P, Hittle D, Anderson C, Tu J, Hodgson D (2008) MIMO robust control for HVAC systems. IEEE Trans Control Syst Technol 16(3):475–483CrossRef Anderson M, Buehner M, Young P, Hittle D, Anderson C, Tu J, Hodgson D (2008) MIMO robust control for HVAC systems. IEEE Trans Control Syst Technol 16(3):475–483CrossRef
go back to reference ASHRAE (2010) ANSI/ASHRAE 62.2-2010,ventilation and acceptable indoor air quality in low-rise residential buildings (ANSI/ASHRAE approved). American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta ASHRAE (2010) ANSI/ASHRAE 62.2-2010,ventilation and acceptable indoor air quality in low-rise residential buildings (ANSI/ASHRAE approved). American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta
go back to reference ASHRAE (2012) High performance buildings. American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta ASHRAE (2012) High performance buildings. American Society of Heating, Refrigerating and Air Conditioning Engineers, Atlanta
go back to reference Baker N, Steemers K (2000) Energy and environment in architecture. Taylor and Francis, London/New York Baker N, Steemers K (2000) Energy and environment in architecture. Taylor and Francis, London/New York
go back to reference Braun J, Montgomery K, Chaturvedi N (2001) Evaluating the performance of building thermal mass control strategies. HVAC&R Res 7(4):403–428CrossRef Braun J, Montgomery K, Chaturvedi N (2001) Evaluating the performance of building thermal mass control strategies. HVAC&R Res 7(4):403–428CrossRef
go back to reference Corbin CD, Henze GP, May-Ostendorp P (2012) A model predictive control optimization environment for real-time commercial building application. J Build Perform Simul 6(3):159–174CrossRef Corbin CD, Henze GP, May-Ostendorp P (2012) A model predictive control optimization environment for real-time commercial building application. J Build Perform Simul 6(3):159–174CrossRef
go back to reference Du Z, Jin X, Wu L (2007) PCA-FDA-Based fault diagnosis for sensors in VAV systems. HVAC&R Res 13(2):349CrossRef Du Z, Jin X, Wu L (2007) PCA-FDA-Based fault diagnosis for sensors in VAV systems. HVAC&R Res 13(2):349CrossRef
go back to reference Eisenhower B, Maile T, Fisher M, Mezić I (2010) Decomposing building system data for model validation and analysis using the koopman operator ibpsa national conference. In: Proceedings of the third national conference of IBPSA-USA, New York Eisenhower B, Maile T, Fisher M, Mezić I (2010) Decomposing building system data for model validation and analysis using the koopman operator ibpsa national conference. In: Proceedings of the third national conference of IBPSA-USA, New York
go back to reference Eisenhower B, O’Neill Z, Fonoberov V, Mezic I (2012a) Uncertainty and sensitivity decomposition of building energy models. J Build Perform Simul 5(3):171–184CrossRef Eisenhower B, O’Neill Z, Fonoberov V, Mezic I (2012a) Uncertainty and sensitivity decomposition of building energy models. J Build Perform Simul 5(3):171–184CrossRef
go back to reference Eisenhower B, O’Neill Z, Narayanan S, Fonoberov V, Mezic I (2012b) Methodology for meta-model based optimization in building energy models. Energy Build 47:292–301CrossRef Eisenhower B, O’Neill Z, Narayanan S, Fonoberov V, Mezic I (2012b) Methodology for meta-model based optimization in building energy models. Energy Build 47:292–301CrossRef
go back to reference Fanger PO (1970) Thermal comfort. Danish Technical Press. Copenhagen Fanger PO (1970) Thermal comfort. Danish Technical Press. Copenhagen
go back to reference Friedman (2012) A fundamentals of sustainable dwellings. Island Press, Washington, DC Friedman (2012) A fundamentals of sustainable dwellings. Island Press, Washington, DC
go back to reference Jain N, Li B, Keir M, Hencey B, Alleyne A (2010) Decentralized feedback structures of a vapor compression cycle system. IEEE Trans Control Syst Technol 18(1):185–193CrossRef Jain N, Li B, Keir M, Hencey B, Alleyne A (2010) Decentralized feedback structures of a vapor compression cycle system. IEEE Trans Control Syst Technol 18(1):185–193CrossRef
go back to reference Kämpf J, Wetter M, Robinson D (2010) A comparison of global optimization algorithms with standard benchmark functions and real-world applications using energyplus. J Build Perform Simul 3(2):103–120CrossRef Kämpf J, Wetter M, Robinson D (2010) A comparison of global optimization algorithms with standard benchmark functions and real-world applications using energyplus. J Build Perform Simul 3(2):103–120CrossRef
go back to reference Katipamula S, Brambley MR (2005) Methods for fault detection, diagnostics, and prognostics for building systems a review, part I and II. HVAC&R Res 11(1):3–25CrossRef Katipamula S, Brambley MR (2005) Methods for fault detection, diagnostics, and prognostics for building systems a review, part I and II. HVAC&R Res 11(1):3–25CrossRef
go back to reference Ma Y, Kelman A, Daly A, Borrelli F (2012) Predictive control for energy efficient buildings with thermal storage. IEEE Control Syst Mag 32(1):44–64CrossRef Ma Y, Kelman A, Daly A, Borrelli F (2012) Predictive control for energy efficient buildings with thermal storage. IEEE Control Syst Mag 32(1):44–64CrossRef
go back to reference Oldewurtel F, Parisio, A, Jones C, Gyalistras D, Gwerder M, Stauch V, Lehmann B, Morari M (2012) Use of model predictive control and weather forecasts for energy efficient building climate control. Energy Build 45:15–27CrossRef Oldewurtel F, Parisio, A, Jones C, Gyalistras D, Gwerder M, Stauch V, Lehmann B, Morari M (2012) Use of model predictive control and weather forecasts for energy efficient building climate control. Energy Build 45:15–27CrossRef
go back to reference Ruch D, Chen L, Haberl J, Claridge D (1993) A change-point principle analysis (CP/PCA) method for predicting energy usage in commercial buildings: the PCA model. J Sol Energy Eng 115:77–84CrossRef Ruch D, Chen L, Haberl J, Claridge D (1993) A change-point principle analysis (CP/PCA) method for predicting energy usage in commercial buildings: the PCA model. J Sol Energy Eng 115:77–84CrossRef
go back to reference Smith PF (2007) Sustainability at the cutting edge. Elsevier, Amsterdam Smith PF (2007) Sustainability at the cutting edge. Elsevier, Amsterdam
go back to reference Trcka M, Hensen JL (2010) Overview of HVAC system simulation. Autom Constr 19(2):93–99CrossRef Trcka M, Hensen JL (2010) Overview of HVAC system simulation. Autom Constr 19(2):93–99CrossRef
go back to reference Turner C, Frankel M (2008) Energy performance of leed for new construction buildings. Tech. rep., U.S. Green Building Council Turner C, Frankel M (2008) Energy performance of leed for new construction buildings. Tech. rep., U.S. Green Building Council
go back to reference Wetter M (2009) Modelica-based modeling and simulation to support research and development in building energy and control systems. J Build Perform Simul 2(2):143–161CrossRef Wetter M (2009) Modelica-based modeling and simulation to support research and development in building energy and control systems. J Build Perform Simul 2(2):143–161CrossRef
Metadata
Title
High Performance Buildings: Measures, Complexity, and Current Trends
Author
Bryan Eisenhower
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37661-0_8