Analysis of Energy Efficiency from the Use of Heat-Reflective Window Screens in Different Regions of Russia and France

Tyutikov, V. V.; Smirnov, Nikolay; Lapateev, D.A.

doi:10.1016/j.proeng.2016.07.147

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…The principle of illumination of LED lamps allows us to use safe components in the production and operation of the lamp itself. Tyutikov et al highlighted the significant impact of direct solar radiation on the indoor climate of the buildings in Russian climate conditions [9]. Thus, it enhances cooling load during the summer period, but it contributes to passive heating during cold time.…”

Section: Internal Loads and Lighting Conditionsmentioning

confidence: 99%

Energy modeling of a single-family house with photovoltaics for the Russian Federation

Shiryaev

Benuzh

2019

E3S Web Conf.

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Residential sector in Russia makes up a significant part in the total energy demand of the country. The article demonstrates sensible energy saving potential in case of a single-family house in different climate conditions of the Russian Federation. Modern tools of building energy performance simulation and renewable energy modeling demonstrated a significant effect of the complex energy efficiency technologies, such as using of modern highly insulated constructional materials, installation of efficient heating, ventilation and air conditioning systems, and implementation of sustainable energy. Annual energy use dramatically declines in comparing with buildings built according to outdated technologies. In particular, the use of photovoltaic modules can meet more than half of the building's energy demand and ensure the autonomy of a building during the warm season. These values differ depending on the location due to the large territory and diverse climatic conditions from the Mediterranean in the south to the Arctic ones in the north.

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Section: Internal Loads and Lighting Conditionsmentioning

confidence: 99%

Energy modeling of a single-family house with photovoltaics for the Russian Federation

Shiryaev

Benuzh

2019

E3S Web Conf.

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“…In recent years, extant literature on this topic has emerged and has considered a variety of factors, including energy structure [6], energy price [7][8][9], foreign direct investment [8], sectoral energy efficiency [10,11], demand structure [10,12], production structure [10,13,14], urbanization [15][16][17], industrialization [18], technological factors [7,14,18], energy saving materials [19], education [20] and so on. However, little attention has been paid to the impact of public infrastructure on energy intensity.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach

Jia

Zeng

2019

Sustainability

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Public infrastructure not only promotes economic growth, but also influences energy intensity, which plays an important role in the strategies related to energy. Therefore, infrastructure policy can be used as an important instrument to reconcile the dilemma of energy, economy, and environment in China. However, few studies have been made to assess the effect of public infrastructure on energy intensity in China. This paper presents an analysis of how three typical types of public infrastructure (i.e., transportation, energy, and information infrastructure) affect energy intensity for 30 Chinese provinces, from 2001 to 2016. To account for nonlinearities, we adopt the panel smooth transition regression (PSTR) approach. The results show that transportation infrastructure has a significantly negative effect on energy intensity, and this negative effect gradually strengthens when the transportation infrastructure stock exceeds the threshold value. Adversely, energy infrastructure has a significantly positive effect on energy intensity, and this positive effect gradually strengthens with the development of energy infrastructure. Our results also suggest that the development of information infrastructure could not only strengthen its own significantly negative effect on energy intensity, but also could promote the negative effect of transportation infrastructure on energy intensity. Moreover, the positive impact of energy infrastructure on energy intensity gradually decreases when the stock of information infrastructure surpasses the larger threshold value. Our findings suggest that policy makers could reduce energy intensity by accelerating the development of transportation and information infrastructure. Furthermore, they could strengthen the negative effects of transportation and information infrastructure on energy intensity and weaken energy infrastructure’s positive effect on energy intensity by increasing their information infrastructure investment.

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“…Instead, general research is conducted on the methods for determining the light reflectance value for reflective materials that are useful for interior finishing [28]. However, aluminum foil has been used to reflect the heat from building partitions to reduce the energy losses from a building [25]. In agriculture, various screen materials are widely used to save energy by reducing the heat radiation losses during the night and to reduce the solar radiation during the day [7].…”

Section: Introductionmentioning

confidence: 99%

Diversification of Lighting Intensity in a Dusty Livestock Room During the Cleaning Process of Reflector Screens

Żelazny¹

2019

J. Ecol. Eng.

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The livestock rooms with the systems for feeding dry feeds using feeder pipelines are characterized by a relatively high concentration of dust. The studies on the shaping of artificial lighting intensity were carried out in an experimental, non-bedding pig fattening house. In order to improve the lighting, the animal room was modernized by lining the ceiling and walls with aluminum foil. It constitued a reflector screen when light was on, which, however, over time became covered with dust coming from the mechanically fed dry feeders. For the assessment of brightness in the production hall, five equally spaced measuring stations were placed in the pens and five similarly spaced stations were set in the corridor. The intensity of lighting (brightness) was measured with the L-20A lux-meter. The measurements were carried out after a six-month use of the liner, when it was significantly contaminated with the dry fodder particles. As part of operational tests, the differentiation of brightness between the individual stands and gradual changes in lighting at various stages of aluminum foil cleaning were checked: washing the external wall with detergents, washing all the walls in the room and the entire interior, including the ceiling was carried out. Before wet cleaning the reflector screens, a significant differentiation of the brightness between the stands in the pens was observed-it ranged from 134.1 Lx to 176.0 Lx, which indicates uneven pollution of the internal surfaces of building partitions. Similarly, significant discrepancies in the lighting intensity were found on the corridor floor. The values ranged between 50.3 Lx and 65.8 Lx. When washing the next partitions, the average illumination values in the pen area dropped unexpectedly, and the final drop after removing the dust from all the walls and ceiling was 2.8%. A similar tendency was observed in the communication-drive corridor. In this area, the brightness decreased by as much as 4.1%. The reason for the decrease in visual comfort was the mattifying of screens caused by grinding of particles during washing. Therefore, it would be necessary to undertake the research on the removal of dust from the reflector screens using another method, for example mechanical dusting.

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Analysis of Energy Efficiency from the Use of Heat-Reflective Window Screens in Different Regions of Russia and France

Cited by 7 publications

References 2 publications

Energy modeling of a single-family house with photovoltaics for the Russian Federation

Energy modeling of a single-family house with photovoltaics for the Russian Federation

Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach

Diversification of Lighting Intensity in a Dusty Livestock Room During the Cleaning Process of Reflector Screens

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