Empirical modeling between degree days and optimum insulation thickness for external wall

Kallioğlu, Mehmet Ali; Ercan, Umut; Avcı, Ali; Fidan, Cihad; Karakaya, Hakan

doi:10.1080/15567036.2019.1651797

Cited by 13 publications

(3 citation statements)

References 17 publications

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“…Many studies have defined the DD as the difference between a baseline temperature and the average daily outdoor air temperature [25][26][27][28][29][30][31][32]. Two different DD values can be set:…”

Section: Economic Studymentioning

confidence: 99%

Experimental Study of Thermal Conductivity of Concrete with Biosourced Material for Saved Energy in Buildings

Necib

Belatrache

Goutar

et al. 2022

Annals of West University of Timisoara - Physics

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This study aims to improve the thermal efficiency of concrete slabs by introducing a plant material. This can contribute to the improvement of internal thermal comfort for buildings and this by lower energy consumption. For this, several experiments were carried out at the laboratory, to find the thermal properties of a new innovative building material produced by inserting ALFA (STIPA TENACISSIMA) into a concrete slab. Several mass percentages of ALFA relative to the total mass of the concrete slab (0%, 0.4%, 0.8%, 1.2% and 1.6%) were studied to see the effect of the introduced quantity of this plant on the thermal conductivity of concrete. It was concluded that the insertion of ALFA in the concrete, decreases considerably the thermal conductivity. The best results are noticed for 1.2% of ALFA, whose thermal conductivity of the concrete is reduced up to 50.61%. As a result, heat gains and losses, through wall or slab, are significantly reduced, which reduces the energy consumed by cooling and heating of homes. In addition, the degree-day method was used to calculate the costs of cooling and heating energy for 58 regions in Algeria. The lowest total energy cost is noticed in the TENES region, while the highest energy cost is noticed in the BORDJ B. MOKHTAR region.

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Section: Economic Studymentioning

confidence: 99%

Experimental Study of Thermal Conductivity of Concrete with Biosourced Material for Saved Energy in Buildings

Necib

Belatrache

Goutar

et al. 2022

Annals of West University of Timisoara - Physics

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show abstract

“…Another study by the Ministry of Industry and Electricity, Kingdom of Saudi Arabia [5], mentions that the energy requirement for the cooling and heating of buildings is responsible for ~50% of the total electric energy consumption in the Kingdom of Saudi Arabia. Karakaya et al [6] analyzed the heating and cooling performance of different insulating materials and fuel types in various geographic regions of Turkey. These analyses were performed using different values of insulation thickness, annual gains, payback periods, and emissions analyses.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Monte Carlo Simulation and the Deterministic Model to Analyze Thermal Insulation Costs

Montufar Benítez,

Mora Vargas,

Castro Esparza

et al. 2024

AppliedMath

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The main purpose of this paper is to implement a simulation model in @RISKTM and study the impact of incorporating random variables, such as the degree days in a traditional deterministic model, for calculating the optimum thickness of thermal insulation in walls. Currently, green buildings have become important because of the increasing worldwide interest in the reduction of environmental pollution. One method of saving energy is to use thermal insulation. The optimum thickness of these insulators has traditionally been calculated using deterministic models. With the information generated from real data using the degree days required in a certain zone in Palestine during winter, random samples of the degree days required annually in this town were generated for periods of 10, 20, 50, and 70 years. The results showed that the probability of exceeding the net present value of the cost calculated using deterministic analysis ranges from 0% to 100%, without regard to the inflation rate. The results also show that, for design lifetimes greater than 40 years, the risk of overspending is lower if the building lasts longer than the period for which it was designed. Moreover, this risk is transferred to whomever will pay the operating costs of heating the building. The contribution of this research is twofold: (a) a stochastic approach is incorporated into the traditional models that determine the optimum thickness of thermal insulation used in buildings, by introducing the variability of the degree days required in a given region; (b) a measure of the economic risk incurred by building heating is established as a function of the years of use for which the building is designed and the number of years it is actually used.

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“…For example, in Malatya [10], Denizli [15,18,22], Erzurum [17], İstanbul [20], Bilecik [23], Bursa [24], İzmir and Ankara [25], Diyarbakır [26]. Moreover, some studies are carried out by selecting only one [27][28][29][30][31][32][33][34][35][36] or more [11][12][13][37][38][39] cities from each climatic zone; furthermore, by merely opting for cold towns [9,14] in Turkey. In most of them, different parameters (types of bricks, insulation materials, and fuels) are investigated by economic and environmental analysis to find the ideal configuration.…”

Section: Introductionmentioning

confidence: 99%

Optimisation on the thermal insulation layer thickness in buildings with environmental analysis: an updated comprehensive study for Turkey’s all provinces

Aktemur

Bilgin

Tunçkol

2021

Journal of Thermal Engineering

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This study determines the optimum insulation layer thickness to be applied to external building walls considering the heating degree-day (HDD) method, then energy saving costs, payback periods, and carbon dioxide (CO 2 ) emissions are calculated accordingly. The optimisation analysis is performed for four different thermal insulation materials (glass wool, rock wool, extruded polystyrene, and expanded polystyrene). Natural gas is chosen as fuel for heating purposes, and horizontal perforated brick is preferred in the wall. One of the original features in this study is environmental analysis to determine the CO 2 emission for the insulated wall in Turkey provinces. Another feature is that it has the most up-to-date data about HDD values and fuel and insulation material costs. The worst and best insulation materials are obtained as rock wool and glass wool, respectively. The optimum insulation layer thickness for the best case is varied between 0.07 m and 0.23 m, depending on the HDD values of provinces. The annual total energy saving cost is in the range of 4.4-53.5 $/(m 2 year), and the payback period is 0.11-0.38 years. Besides, the reduction in annual CO 2 emission is changed between 53.2% and 94% for the best case, compared to the uninsulated wall.

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Empirical modeling between degree days and optimum insulation thickness for external wall

Cited by 13 publications

References 17 publications

Experimental Study of Thermal Conductivity of Concrete with Biosourced Material for Saved Energy in Buildings

Experimental Study of Thermal Conductivity of Concrete with Biosourced Material for Saved Energy in Buildings

Comparative Study of Monte Carlo Simulation and the Deterministic Model to Analyze Thermal Insulation Costs

Optimisation on the thermal insulation layer thickness in buildings with environmental analysis: an updated comprehensive study for Turkey’s all provinces

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