Computer-aided building energy analysis techniques |
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| Affiliation: | 1. GREA Innovació Concurrent, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain;2. Departament d’Enginyeria Mecànica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain;3. Center for Advanced Study of Lithium and Industrial Minerals (CELiMIN), University of Antofagasta, Av. Universidad de Antofagasta 02800, Campus Coloso, Antofagasta, Chile;4. Solar Energy Research Center (SERC), Av. Tupper 2007, 4th Floor, Santiago, Chile;1. Mitsidi Projetos, Rua Pedro Taques 129, Consolação, São Paulo, SP, Brazil;2. Laboratory for Energy Efficiency in Buildings (LabEEE), Department of Civil Engineering, Federal University of Santa Catarina, Florianópolis, SC 88040-900, Brazil;3. Building Physics and Systems, Eindhoven University of Technology, P.O. Box 513, Eindhoven, NL-5600 MB, The Netherlands;1. School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, PR China;2. Center for Environment, Health and Field Sciences, Chiba University, Kashiwa-no-ha 6-2-1, Kashiwa, Chiba 277-0882, Japan |
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| Abstract: | Buildings are slowly replacing long-term investments that consume a lot of energy. Given current economic, as well as environmental constraints on energy resources, the energy issue plays an important role in the design and operation of buildings. Careful long-term decisions in the design and operation of buildings can significantly improve their thermal performance and thus reduce their consumption of energy. Alternative building design strategies, standards compliance and economic optimization can be evaluated using available energy analysis techniques. These range from simplified manual energy analysis methods for approximate energy use estimates to detailed computerized hourly simulation. The availability and ease of use of today’s computers make them effective tools in the decision-making process of building design. This paper reviews the most common building energy analysis techniques and the potential applications of computer technology in the energy simulation and optimization of buildings. |
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