Advances in Building Energy Research: Volume 1 by Mat Santamouris

By Mat Santamouris

'Several prime quality clinical journals are released within the quarter of establishing strength and indoor/outdoor setting; in spite of the fact that, one has been lacking. Advances in construction strength examine fills the space. i like to recommend ABER to all technical libraries, study institutes and universities. it may even be utilized by development businesses and people production development fabrics and development products.' Professor Olli Sepp�nen, President of REHVA (Federation of Heating and Air-conditioning institutions) 'Advances in development strength learn is a different index. it is going to be an inexhaustible source for strength comparable sciences and a continuing suggestion for architects round the world.' N. Fintikakis, Architect and Director of UIA-ARES WP (Architecture and Renewable power assets) Advances in development strength learn (ABER) bargains state of the art details at the environmental technological know-how and function of constructions, linking new applied sciences and methodologies with the newest learn on structures, simulations and criteria. As stringently reviewed as a magazine yet with the breadth of a booklet, this annual quantity brings jointly invited contributions from the key overseas specialists on strength potency and environmental caliber of constructions. Spanning a huge variety of technical topics, this can be a 'must have' reference on worldwide advancements within the box, appropriate for architects and development engineers, environmental engineers, execs, scholars, lecturers and researchers in development technology, technical libraries and laboratories.

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All the above parameters are interlinked. For example indoor thermal comfort is influenced by the ventilation requirements and all influence energy consumption and cost. The first attempts of introducing fuzzy logic to buildings intelligence in the early 1990s focused on just one of the above parameters. Recent work deals with the application of fuzzy logic to more than one field (that is, the combination of thermal comfort and indoor air quality). Moreover, other AI techniques are also used in combination with fuzzy logic to provide more innovative applications and results.

Moreover, Gouda et al (2001) used the PMV to control the indoor temperature of a space by setting it at a point where the PMV index becomes zero and the predicted PPD achieves a maximum threshold of 5 per cent compared to a tuned PID controller. 2 presents a summary of the analysis. Discussion Almost all researchers evaluate the performance of the fuzzy controllers for the regulation of the indoor thermal comfort versus classical controllers. Another criterion for the evaluation of thermal comfort control using fuzzy logic is the energy conservation achieved.

1 Summary of fuzzy logic in thermal sensation modelling AI TECHNIQUES Fuzzy modelling Neuro-fuzzy adaptive networks Fuzzy regression analysis Fuzzy gradient-based optimization PERFORMANCE AND REMARKS The difference between Fanger’s PMV (Fanger, 1970) and the fuzzy PMV values is very small The neuro-fuzzy approach represents linguistically vague issues regarding comfort Extraction of optimum membership functions. The non-linearity is revealed Minimization of individual people dissatisfied REFERENCES Feriadi and Hien, 2003; Hamdi et al, 1999; Wen and Zhao, 1998 Chen et al, 2006b Chen et al, 2006a; Shimizu and Jindo, 1995 Ari et al, 2005 ADVANCES IN BUILDING ENERGY RESEARCH ■ 2007 ■ VOLUME 1 ■ PAGES 29–54 ABER_CH_02 4/4/07 3:33 PM Page 33 Artificial Intelligence in Buildings 33 CONTROL OF THE THERMAL ENVIRONMENT State of the art The second major research area for fuzzy logic in thermal comfort is the control of the thermal environment.

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