scholarly journals STUDI PENGARUH BAHAN PENUTUP ATAP TERHADAP KONDISI TERMAL PADA RUANG ATAP

2017 ◽  
Vol 1 (1) ◽  
pp. 35
Author(s):  
Amat Rahmat ◽  
Eddy Prianto ◽  
Setia Budi Sasongko
Keyword(s):  
Surface Temperature ◽  
Energy Use ◽  
Residential Buildings ◽  
Thermal Conditions ◽  
Heat Radiation ◽  
Air Cooling ◽  
Roof Shape ◽  
Roofing Material ◽  
Roofing Materials ◽  
Selection Of

Abstract:. The uncomfortable thermal conditions in the building are complained of by the inhabitants due to the inappropriate selection of roofing materials, thus making the building unable to achieve the expected thermal conditions. Selection of appropriate roofing material will help in air cooling process and minimize energy use for cooling space. This study was conducted to determine the thermal conditions of roof space generated from various types of roofing materials that have been determined. The study object of this study is the roof space in residential buildings with a saddle roof shape with a slope of 30O roof angle. Roofing material is tile, asbestos and zinc. The results data show that the average thermal spaces of roof space on tile roofs are 1.91OC-2.31OC lower than the asbestos roof and zinc. Roof tile is also more able to withstand the sun's heat radiation. The average surface tile roof temperature is 0.28˚C lower than the surface temperature of the asbestos roof and 1.55˚C lower than the zinc roof surface temperature. However, the average profile of the lowest roof surface temperature during the daytime is on the asbestos roof (38.71˚C). Keyword: Roofing material, Thermal condition, Roof room Abstrak: Kondisi termal yang tidak nyaman pada bangunan banyak dikeluhkan oleh penghuni karena pemilihan material atap yang tidak sesuai, sehingga menjadikan bangunan tidak dapat mencapai kondisi termal yang diharapkan. Pemilihan material penutup atap yang tepat akan membantu di dalam proses pendinginan udara serta meminimalisir penggunaan energi untuk pendinginan ruang. Penelitian ini dilakukan untuk mengetahui kondisi termal ruang atap yang dihasilkan dari berbagai jenis bahan material atap yang sudah ditentukan. Objek studi dari penelitian ini adalah ruang atap pada bangunan rumah tinggal dengan bentuk atap pelana dengan kemiringan sudut atap 30O. Bahan penutup atap adalah genteng, asbes dan seng. Data hasil penelitian menunjukkan bahwa rata-rata termal ruang atap pada atap genteng lebih rendah 1.91OC-2.31OC dari atap asbes dan seng. Atap genteng juga lebih dapat menahan radiasi panas matahari. Rata-rata nilai temperatur permukaan atap genteng lebih rendah 0.28˚C dari temperatur permukaan atap asbes dan 1.55˚C lebih rendah dari temperature permukaan atap seng. Namun rata-rata profil temperatur permukaan atap terendah saat siang hari adalah pada atap asbes  (38.71˚C).Kata Kunci: Bahan penutup atap, Kondisi termal, Ruang atap

The Optimum Energy Saving Measures for Retrofitting Residential Buildings

2016 ◽  
Vol 41 (1) ◽  
pp. 88-92
Author(s):  
Rong-Yue Zheng ◽  
Jian Yao
Keyword(s):  
Energy Saving ◽  
Energy Savings ◽  
Residential Buildings ◽  
Thermal Conditions ◽  
High Energy ◽  
Cold Winter ◽  
Efficiency Measures ◽  
Optimum Energy ◽  
Potential Energy Saving ◽  
Selection Of

A large number of residential buildings in hot summer and cold winter zone of China are non-energy efficient with poor indoor thermal conditions. Retrofitting residential buildings with energy efficiency measures is thus important for residents. However, this work progressed slowly because practically applicable measures that not only have high energy savings but also improve indoor thermal performance have not been studied. Thus, this paper carried out a simulation study on the selection of suitable energy saving measures for residential buildings in hot summer and cold winter zone of China. Five potential energy saving options are considered and the energy, indoor thermal comfort and economic performance are compared. The results show that adding movable solar shades is the optimum option with all performance indices ranking first. Meanwhile, this measure is also the only acceptable energy saving solution for residents since its payback period is less than the lifespan of a building. As a conclusion, it is recommended to use movable solar shades as a first priority when retrofitting residential buildings.

scholarly journals Analysis of Roof Collapse Cases Caused by Snow Loads in Russia (2001–2021)

2021 ◽  
Vol 13 (24) ◽  
pp. 13580
Author(s):  
Valentina Lobkina
Keyword(s):  
Structural Damage ◽  
Residential Buildings ◽  
Cumulative Number ◽  
Building Vulnerability ◽  
Roof Collapse ◽  
Industrial Buildings ◽  
Roof Shape ◽  
Roofing Material ◽  
Snow Loads ◽  
The Impact

Cases of building decay and structural damage caused by the impact of snow loads are registered every year throughout the world. Such destruction not only results in property loss, but also leads to human losses. A database on 266 cases of roof collapse caused by snow loads in Russia for the period from 2001 to 2021 was collated for this study. The data were analyzed by date and place of collapse, building data, and number of victims. The analysis showed that civilian buildings are the most vulnerable, comprising 78% of the total number of collapses, followed by industrial buildings with 15% and agricultural buildings with only 7%. The relationships between roof shape, roofing material, number of floors, and type of collapsed building were determined. The data processing results showed that low-rise residential buildings (one to two floors) with a gable roof covered with fiber cement should be considered the most vulnerable. A linear relationship was revealed between a collapse area of more than 150 m2 and the cumulative number of collapse cases. The obtained results have practical application for rating building vulnerability to natural hazards and assessing the risk of emergencies associated with snow loads.

A building’s thermal assessment using dynamic simulation

2016 ◽  
Vol 27 (2) ◽  
pp. 173-183 ◽  
Author(s):  
Norma A Rodríguez-Muñoz ◽  
Mario Nájera-Trejo ◽  
Olivia Alarcón-Herrera ◽  
Ignacio R Martín-Domínguez
Keyword(s):  
Dynamic Simulation ◽  
Air Conditioning ◽  
Operating Parameter ◽  
Thermal Conditions ◽  
Simulation Software ◽  
Air Cooling ◽  
Dynamic Simulations ◽  
Köppen Climate Classification ◽  
Selection Of ◽  
Storey Building

A thermal analysis of a two-storey building was made using a dynamic simulation software (TRNSYS). Thermal performance of a 2000 m2 building was examined by means of several dynamic simulations. The building is located in a region within the BS climate (steppe) according to the Köppen climate classification, where both air cooling and heating are needed to provide comfortable thermal conditions through the entire year. This weather often represents an energy saving challenge, where heat gains and heat losses need to be efficiently managed. A selection of common construction and glazing materials was implemented, and a simple but effective ventilating strategy was tested. Six thermal zones were defined in the building and a comfort temperature range was established as an operating parameter. The results show hourly mean temperatures and energy consumption due to air conditioning throughout a year.

scholarly journals Overheating Risk and Energy Demand of Nordic Old and New Apartment Buildings during Average and Extreme Weather Conditions under a Changing Climate

2021 ◽  
Vol 11 (9) ◽  
pp. 3972
Author(s):  
Azin Velashjerdi Farahani ◽  
Juha Jokisalo ◽  
Natalia Korhonen ◽  
Kirsti Jylhä ◽  
Kimmo Ruosteenoja ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Living Room ◽  
Extra Energy ◽  
Cooling Unit ◽  
Indoor Conditions

The global average air temperature is increasing as a manifestation of climate change and more intense and frequent heatwaves are expected to be associated with this rise worldwide, including northern Europe. Summertime indoor conditions in residential buildings and the health of occupants are influenced by climate change, particularly if no mechanical cooling is used. The energy use of buildings contributes to climate change through greenhouse gas emissions. It is, therefore, necessary to analyze the effects of climate change on the overheating risk and energy demand of residential buildings and to assess the efficiency of various measures to alleviate the overheating. In this study, simulations of dynamic energy and indoor conditions in a new and an old apartment building are performed using two climate scenarios for southern Finland, one for average and the other for extreme weather conditions in 2050. The evaluated measures against overheating included orientations, blinds, site shading, window properties, openable windows, the split cooling unit, and the ventilation cooling and ventilation boost. In both buildings, the overheating risk is high in the current and projected future average climate and, in particular, during exceptionally hot summers. The indoor conditions are occasionally even injurious for the health of occupants. The openable windows and ventilation cooling with ventilation boost were effective in improving the indoor conditions, during both current and future average and extreme weather conditions. However, the split cooling unit installed in the living room was the only studied solution able to completely prevent overheating in all the spaces with a fairly small amount of extra energy usage.

scholarly journals Optimal Control Strategies for Switchable Transparent Insulation Systems Applied to Smart Windows for US Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2917
Author(s):  
Mohammad Dabbagh ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Control Strategies ◽  
Residential Buildings ◽  
Residential Building ◽  
Optimization Approach ◽  
Optimal Controls ◽  
Peak Demand ◽  
Smart Windows ◽  
Insulation Systems ◽  
Rule Set

This paper evaluates the potential energy use and peak demand savings associated with optimal controls of switchable transparent insulation systems (STIS) applied to smart windows for US residential buildings. The optimal controls are developed based on Genetic Algorithm (GA) to identify the automatic settings of the dynamic shades. First, switchable insulation systems and their operation mechanisms are briefly described when combined with smart windows. Then, the GA-based optimization approach is outlined to operate switchable insulation systems applied to windows for a prototypical US residential building. The optimized controls are implemented to reduce heating and cooling energy end-uses for a house located four US locations, during three representative days of swing, summer, and winter seasons. The performance of optimal controller is compared to that obtained using simplified rule-based control sets to operate the dynamic insulation systems. The analysis results indicate that optimized controls of STISs can save up to 81.8% in daily thermal loads compared to the simplified rule-set especially when dwellings are located in hot climates such as that of Phoenix, AZ. Moreover, optimally controlled STISs can reduce electrical peak demand by up to 49.8% compared to the simplified rule-set, indicating significant energy efficiency and demand response potentials of the SIS technology when applied to US residential buildings.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

scholarly journals Evaluation of Urban-Scale Building Energy-Use Models and Tools—Application for the City of Fribourg, Switzerland

2021 ◽  
Vol 13 (4) ◽  
pp. 1595
Author(s):  
Valeria Todeschi ◽  
Roberto Boghetti ◽  
Jérôme H. Kämpf ◽  
Guglielmina Mutani
Keyword(s):  
Machine Learning ◽  
Energy Use ◽  
Residential Buildings ◽  
Building Energy ◽  
Energy Performance ◽  
Space Heating ◽  
Engineering Model ◽  
Building Energy Use ◽  
The Impact ◽  
The City

Building energy-use models and tools can simulate and represent the distribution of energy consumption of buildings located in an urban area. The aim of these models is to simulate the energy performance of buildings at multiple temporal and spatial scales, taking into account both the building shape and the surrounding urban context. This paper investigates existing models by simulating the hourly space heating consumption of residential buildings in an urban environment. Existing bottom-up urban-energy models were applied to the city of Fribourg in order to evaluate the accuracy and flexibility of energy simulations. Two common energy-use models—a machine learning model and a GIS-based engineering model—were compared and evaluated against anonymized monitoring data. The study shows that the simulations were quite precise with an annual mean absolute percentage error of 12.8 and 19.3% for the machine learning and the GIS-based engineering model, respectively, on residential buildings built in different periods of construction. Moreover, a sensitivity analysis using the Morris method was carried out on the GIS-based engineering model in order to assess the impact of input variables on space heating consumption and to identify possible optimization opportunities of the existing model.

scholarly journals A Rapid Review on Community Connected Microgrids

2021 ◽  
Vol 13 (12) ◽  
pp. 6753
Author(s):  
Moiz Masood Syed ◽  
Gregory M. Morrison
Keyword(s):  
Literature Review ◽  
Urban Areas ◽  
Energy Use ◽  
Residential Buildings ◽  
Optimal Solution ◽  
Building Energy ◽  
Rapid Review ◽  
Solar Pv ◽  
Electricity Cost ◽  
Building Energy Use

As the population of urban areas continues to grow, and construction of multi-unit developments surges in response, building energy use demand has increased accordingly and solutions are needed to offset electricity used from the grid. Renewable energy systems in the form of microgrids, and grid-connected solar PV-storage are considered primary solutions for powering residential developments. The primary objectives for commissioning such systems include significant electricity cost reductions and carbon emissions abatement. Despite the proliferation of renewables, the uptake of solar and battery storage systems in communities and multi-residential buildings are less researched in the literature, and many uncertainties remain in terms of providing an optimal solution. This literature review uses the rapid review technique, an industry and societal issue-based version of the systematic literature review, to identify the case for microgrids for multi-residential buildings and communities. The study describes the rapid review methodology in detail and discusses and examines the configurations and methodologies for microgrids.

Sign in / Sign up

Export Citation Format

Share Document