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Indoor Environmental Quality Assessment Model IEQ Developed in ITB. Part 1. Choice of the Indoor Environmental Quality Sub-Component Models DOI:10.15199/9.2018.6.3

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1. Introduction and aim While building design process it is easy to marginalize occupant’s indoor comfort and every-day life satisfaction. Unfortunately, this simple truth is very actual for national construction practice. Maintaining suitable indoor climate conditions in the opinion of authors is a “must" for the occupants’ well being, while requiring very strictly environmental conditions. This issue importance is clearly expressed by the European Energy Performance of Buildings Directive 2002/92/EC together with the later Recasts, which underlines that the expression of a the energy consumption assessment of a building should be always joint with the corresponding indoor environmental quality level required. To this aim, the concept of indoor environmental quality (IEQ) model together with sub-categories were developed and discussed. IEQ refers to the quality of a building’s environment in relation to the occupants’ thermal comfort (TC), health and well-being. IEQ is determined by many complex interconnected parameters. Understanding the sources of indoor environmental discomfort and their adequate modeling can often 224 CIEPŁOWNICTWO, OGRZEWNICTWO, WENTYLACJA 49/6 (2018) help prevent many problems ahead of time, during a design process. Building designers can increase the value of the building and satisfaction of future occupants by considering optimization of sub-components of IEQ. Within the framework of a major European project OFFICEAIR Study the questionnaire survey tests were performed the percent participation of building related health symptoms (in Building Symptom Index BSI-19 system), on the example of almost seven and a half thousand office workers. The results of which given in the EC FP7 project [1] and in the Japan by profesor Azuma [2] reports are illustrated in Figure 1. Combined exposure to pollutants and unsatisfactory environmental conditions may evoke presented health [...]

Indoor Environmental Quality Assessment Model IEQ Developed in ITB. Part 2. Model Reliability Analysis DOI:10.15199/9.2018.7.3

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The Indoor Environmental Quality index (IEQ)index was designed according to EN15251:2014 [1], for calculating the percentage of people satisfied with indoor environmental quality. It is recommended as a function of the four parameters of air quality, as well as the user perception of thermal, acoustic and visual comfort. In fact, the characteristics of the IEQ model should also contain the synergy effect of environmental parameters included in sub- -components and their sensory perception, as suggested by ASHRAE Guideline 10 [2], and the effect of measurement accuracy on the IEQ sub-component parameters. This research included: (1) an overview of the objective methods and tools for assessment of IEQ values calculated for prediction purposes, (2) a review of the metrological analysis of the IEQ sub-components [3], (3) a discussion of the weaknesses of the IEQ model structure because of an integral incongruity condition (integral incongruity syndrome) and (4) proposal for using a crude weighting scheme. The IEQ index as it was presented in study [4] contains a recommended set of sub-component models. Table 1 presents the input equations (IEQ subcomponent models) and input parameters for determining the IEQindex subcomponents of indoor air quality IAQindex, thermal comfort TCindex, acoustics ACcindex and lighting quality Lindex. The IEQ sub-component model assessment approach revealed that there are estimated x-value standard uncertainties and y-value standard uncertainties (x are input values of physical parameters and y are output values of PD(SIi)). The model values of the IEQ sub-indices for the reference 262 CIEPŁOWNICTWO, OGRZEWNICTWO, WENTYLACJA 49/7 (2018) state were multiplied by the weights adopted from all the weighting schemes (Table 2). The specific IEQindex values, with their standard deviations SD, are plotted in graphs inserted into Table 1. The correlation of all functions SIi= f(x) with physical environmen[...]

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