Passive House model for quantitative and qualitative analyses and its intelligent system

Kaklauskas, Artūras; Rutė, Jevgenija; Zavadskas, Edmundas Kazimieras; Daniūnas, Alfonsas; Pruskus, Valdas; Bivainis, Juozas; Gudauskas, Renaldas; Plakys, Vytautas

doi:10.1016/j.enbuild.2012.03.008

Cited by 68 publications

(42 citation statements)

References 21 publications

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“…3-7) along with colleagues (Kaklauskas et al 2010(Kaklauskas et al , 2011(Kaklauskas et al , 2012(Kaklauskas et al , 2013b are able to merge in various forms the existing information, data and knowledge. Figure 1.5 is an example relevant to merged Systolic blood pressure, diastolic blood presure, heart rate and skin humidity determine stress level.…”

Section: Integration Of Artificial Intelligent and Dbms Technologiesmentioning

confidence: 97%

Introduction to Intelligent Decision Support Systems

Kaklauskas

2014

Intelligent Systems Reference Library

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This chapter presents definitions and descriptions of intelligent decision support systems (IDSSs) and analyzes the technology and AI methods, which serve as bases of the IDSS. Scholars have offered various definitions of IDSS. Every one of them accents that an intelligent decision support system is a DSS, which makes extensive use of artificial intelligence techniques. Artificial intelligence techniques can be utilized in all the components of IDSSs, such as in the data base, knowledge base, model base, user interface and the rest. Therefore this chapter deliberates the intelligent databases, hardware (sensors, iris camera hardware, hardware for fingerprint biometric identification, etc.) and computer human interfaces (gesture, intelligent user, motion tracking, voice and natural-language interfaces) in intelligent decision support systems.

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Section: Integration Of Artificial Intelligent and Dbms Technologiesmentioning

confidence: 97%

Introduction to Intelligent Decision Support Systems

Kaklauskas

2014

Intelligent Systems Reference Library

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“…Passive house model for quantitative and qualitative analyses and its intelligent system (Kaklauskas et al 2012) The optimal alternative is at the minimum distance from the ideal solution while the maximum distance from the ideal solution means the worst option.…”

Section: Copras (Complex Proportional Assessment Of Alternatives)mentioning

confidence: 99%

Complex Assessment of Structural Systems Used for High-Rise Buildings

Tamošaitienė

Gaudutis

2013

Journal of Civil Engineering and Management

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Today, increasingly more attention is given to reduction of the negative impacts of human activities on the surrounding environment during different stages of a building life cycle, which should be estimated during the design stage of the building. Selection of a structural system for a high-rise building remains a complex task that requires estimating a large amount of data such as structural system parameters, architectural solutions, engineering system requirements and construction process peculiarities. Decision-making problems in civil engineering often involve a complex decision-making process, in which multiple requirements and conditions have to be taken into consideration simultaneously. It means that such problems deal with sets of multiple criteria. The accuracy of performance measures in COPRAS (COmplex PRoportional ASsessment) method assumes direct and proportional dependence of the significance and utility degree of investigated alternatives on a system of criteria adequately describing the alternatives as well as on values and weights of the criteria. The research has concluded that the COPRAS-G method is appropriate for assessment of structural systems of high-rise buildings.

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“…Indeed, approximately 80% of the total thermal energy consumption of buildings is consumed because of heat losses (Pupeikis et al 2010). The costs attributed to the thermal energy needs in buildings is strongly influenced by the characteristics of the building envelope (Zavadskas et al 2005(Zavadskas et al , 2008Kaklauskas et al 2012;Kanapeckiene et al 2011).…”

Section: Introductionmentioning

confidence: 99%

A Numerical Solution That Determines the Temperature Field Inside Phase Change Materials: Application in Buildings

Ciulla

Brano

Messineo

et al. 2013

Journal of Civil Engineering and Management

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The use of novel building materials that contain active thermal components would be a major advancement in achieving significant heating and cooling energy savings. In the last 40 years, Phase Change Materials or PCMs have been tested as thermal mass components in buildings, and most studies have found that PCMs enhance the building energy performance. The use of PCMs as an energy storage device is due to their relatively high fusion latent heat; during the melting and/or solidification phase, a PCM is capable of storing or releasing a large amount of energy. PCMs in a wall layer store solar energy during the warmer hours of the day and release it during the night, thereby decreasing and shifting forward in time the peak wall temperature.\ud In this paper, an algorithm is presented based on the general Fourier differential equations that solves the heat transfer problem in multi-layer wall structures, such as sandwich panels, that includes a layer that can change phase. In detail, the equations are proposed and transformed into formulas useful in the FDM approach (finite difference method), which solves the system simultaneously for the temperature at each node. The equation set proposed is accurate, fast and easy to integrate into most building simulation tools in any programming language.\ud The numerical solution was validated using a comparison with the Voller and Cross analytical test proble

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Passive House model for quantitative and qualitative analyses and its intelligent system

Cited by 68 publications

References 21 publications

Introduction to Intelligent Decision Support Systems

Introduction to Intelligent Decision Support Systems

Complex Assessment of Structural Systems Used for High-Rise Buildings

A Numerical Solution That Determines the Temperature Field Inside Phase Change Materials: Application in Buildings

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