Energy performance analysis of variable thermal resistance envelopes in residential buildings

Energy and Buildings - Tập 103 - Trang 317-325 - 2015
Benjamin Park1, Wil V. Srubar1, Moncef Krarti1
1Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder, ECOT 441 UCB 428, Boulder, CO 80309-0428 USA

Tài liệu tham khảo

Pérez-Lombard, 2008, A review on buildings energy consumption information, Energy Build., 40, 394, 10.1016/j.enbuild.2007.03.007 Sadineni, 2011, Passive building energy savings: a review of building envelope components, Renew. Sustain. Energy Rev., 15, 3617, 10.1016/j.rser.2011.07.014 Tuhus-Dubrow, 2010, Genetic-algorithm based approach to optimize building envelope design for residential buildings, Build. Environ., 45, 1574, 10.1016/j.buildenv.2010.01.005 Kalnæs, 2014, Vacuum insulation panel products: a state-of-the-art review and future research pathways, Appl. Energy, 116, 355, 10.1016/j.apenergy.2013.11.032 Jelle, 2011, Traditional, state-of-the-art and future thermal building insulation materials and solutions – properties, requirements and possibilities, Energy Build., 43, 2549, 10.1016/j.enbuild.2011.05.015 Jelle, 2010, The path to the high performance thermal building insulation materials and solutions of tomorrow, J. Build. Phys., 34, 99, 10.1177/1744259110372782 Hagentoft, 2001 ASHRAE, 2005 Braun, 2002, An inverse gray-box model for transient building load prediction, HVAC&R Res., 8, 73, 10.1080/10789669.2002.10391290 Seem, 1987 Dewson, 1993, Least squares parameter estimation of a reduced order thermal model of an experimental building, Build. Environ., 28, 127, 10.1016/0360-1323(93)90046-6 Wang, 2006, Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm, Energy Convers. Manage., 47, 1927, 10.1016/j.enconman.2005.09.011 Fux, 2011