Response of conventional and energy-saving buildings to design and human dependent factors

Filippín, Celina; Larsen, Silvana Flores; Beascochea, Alicia; Lesino, Graciela

doi:10.1016/j.solener.2004.05.021

Cited by 35 publications

(16 citation statements)

References 4 publications

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“…This level of energy reduction by refurbishment with local materials is in agreement with several studies in Argentina [10][11][12]. When improved design and passive solar are also considered, the reductions can reach 70% to 75%, with low cost investment [9,13]. Most areas in Argentina have a winter season and heating load, but it is in cold regions where the absolute reductions would be larger.…”

Section: Introductionsupporting

confidence: 87%

“…It only needs to be better known by the public and put into practice massively. Many features of solar building design can have a great impact on energy efficiency in buildings in Argentina, both for households and for public buildings [13,30,31]. Taken advantage of orientation and climate-related effects is also relevant in planning energy reductions.…”

Section: Solar Design Of Buildings and Use Of Renewable Energies Shoumentioning

confidence: 99%

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Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency

González

2009

Energies

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Natural gas is the main energy resource for buildings in Argentina. Since 2002, subsidies have kept the prices of this fuel between 9 and 26 times lower than regular prices in other countries. The lowest prices are the result of climate-related subsidies. In cold areas, heating uses several times more energy than locations in Europe with a similar climate. A potential for consumption reductions of up to 70% suggests a very low building thermal performance. The main barriers to finding a solution are the heavy subsidies and public unawareness. Users, government officials, and construction professionals do not identify the very low thermal efficiency. Energy policies to encourage improvements are proposed.

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Section: Introductionsupporting

confidence: 87%

Section: Solar Design Of Buildings and Use Of Renewable Energies Shoumentioning

confidence: 99%

Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency

González

2009

Energies

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“…The building energy demand can be alleviated through improved/optimized building design to reduce the thermal load of the buildings [3][4][5]. Thermal load and thermal comfort of buildings are affected by a number of factors, among which thermal mass (in particular the thickness of the concrete slab), insulation level, absorptance of solar radiation of the exterior walls/roof, and glazing ratio (also known as the window-to-wall ratio) are four factors that have important impacts [6]: (1) thermal mass can affect the fluctuation of the daily temperature inside the house; (2) insulation can affect the a building with a high indoor thermal comfort level and low thermal load.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization Considering Variable Thermal Mass, Insulation, Absorptance of Solar Radiation, and Glazing Ratio Using a Prediction Model and Genetic Algorithm

et al. 2018

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This paper presents the optimization of building envelope design to minimize thermal load and improve thermal comfort for a two-star green building in Wuhan, China. The thermal load of the building before optimization is 36% lower than a typical energy-efficient building of the same size. A total of 19 continuous design variables, including different concrete thicknesses, insulation thicknesses, absorbance of solar radiation for each exterior wall/roof and different window-to-wall ratios for each façade, are considered for optimization. The thermal load and annual discomfort degree hours are selected as the objective functions for optimization. Two prediction models, multi-linear regression (MLR) model and an artificial neural network (ANN) model, are developed to predict the building thermal performance and adopted as fitness functions for a multi-objective genetic algorithm (GA) to find the optimal design solutions. As compared to the original design, the optimal design generated by the MLRGA approach helps to reduce the thermal load and discomfort level by 18.2% and 22.4%, while the reductions are 17.0% and 22.2% respectively, using the ANNGA approach. Finally, four objective functions using cooling load, heating load, summer discomfort degree hours, and winter discomfort degree hours for optimization are conducted, but the results are no better than the two-objective-function optimization approach.

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“…Different research studies of post-occupancy evaluation of buildings' energy performance [3][4][5][6][7][8][9] have shown how occupants' behaviours have a huge influence over energy consumption in both domestic and non-residential buildings. In particular, Haas [3] and Filippin [4] stated that occupant behaviour affects energy use to the same extent as mechanical parameters. New automated controls and energy management systems could have great potential to improve individual comfort and reduce energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Accounting for the Uncertainty Related to Building Occupants with Regards to Visual Comfort: A Literature Survey on Drivers and Models

2016

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Abstract:The interactions between building occupants and control systems have a high influence on energy consumption and on indoor environmental quality. In the perspective of a future of "nearly-zero" energy buildings, it is crucial to analyse the energy-related interactions deeply to predict realistic energy use during the design stage. Since the reaction to thermal, acoustic, or visual stimuli is not the same for every human being, monitoring the behaviour inside buildings is an essential step to assert differences in energy consumption related to different interactions. Reliable information concerning occupants' behaviours in a building could contribute to a better evaluation of building energy performances and design robustness, as well as supporting the development of occupants' education to energy awareness. The present literature survey enlarges our understanding of which environmental conditions influence occupants' manual controlling of the system in offices and by consequence the energy consumption. The purpose of this study was to investigate the possible drivers for light-switching to model occupant behaviour in office buildings. The probability of switching lighting systems on or off was related to the occupancy and differentiated for arrival, intermediate, and departure periods. The switching probability has been reported to be higher during the entering or the leaving time in relation to contextual variables. In the analysis of switch-on actions, users were often clustered between those who take daylight level into account and switch on lights only if necessary and people who totally disregard the natural lighting. This underlines the importance of how individuality is at the base of the definition of the different types of users.

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Response of conventional and energy-saving buildings to design and human dependent factors

Cited by 35 publications

References 4 publications

Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency

Energy Subsidies in Argentina Lead to Inequalities and Low Thermal Efficiency

Design Optimization Considering Variable Thermal Mass, Insulation, Absorptance of Solar Radiation, and Glazing Ratio Using a Prediction Model and Genetic Algorithm

Accounting for the Uncertainty Related to Building Occupants with Regards to Visual Comfort: A Literature Survey on Drivers and Models

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