Life cycle cost analysis for determining optimal insulation thickness in Palestinian buildings

Alsayed, Mohammed; Tayeh, Rawan A.

doi:10.1016/j.jobe.2018.11.018

Cited by 77 publications

(31 citation statements)

References 16 publications

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“…Küçüktopcu and Cemek (2018) reported that CO 2 emissions were reduced by 39.82% in Antalya when extruded polystyrene (12–81 mm) and natural gas were used, whereas Erzurum had the highest value (83.98%) for expanded polystyrene (20–118 mm) and LPG as a fuel. In addition, Alsayed and Tayeh (2019) had investigated the impact of fuel price variation on optimum insulation thickness for Palestine building, which was varying in between 40 and 90 mm depending on insulation materials and fuel types. Huang et al (2019) investigated that the fuel source of the heating system installed in the building had a significant impact on optimum insulation thickness for exterior wall such as 161.8 and 83.5 mm for natural gas and coal, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Many studies are conducted to estimate the heat transmission loss through the building walls and roof using dynamic heat transmission (Daouas, 2011; Feng et al, 2019; Ozel, 2019; Ramin et al, 2016; Saafi and Daouas, 2018), experimental (Cuce et al, 2014), and degree-day/hour methods (Alsayed and Tayeh, 2019; Feng et al, 2019; Huang et al, 2019; Küçüktopcu and Cemek, 2018; Vincelas et al, 2017; Yuan et al, 2017a, 2017b), which are fed in life-cycle cost (LCC) analysis to determine the optimum insulation thickness corresponding to maximum cost savings (sum of insulation cost and operation cost). For instance, the dynamic heat transfer and the LCC analysis were conducted by Daouas (2011) to calculate optimum insulation thickness for single-layered brick wall considering different orientation.…”

Section: Introductionmentioning

confidence: 99%

“…Huang et al (2019) investigated that the fuel source of heating system installed in building had significant impact on optimum insulation thickness for exterior wall such as 161.8 and 83.5 mm for natural gas and coal, respectively. Alsayed and Tayeh (2019) calculated the optimum insulation thickness of the wall using degree-days method and LCC analysis considering the volatility of electricity cost. They found that the use of polyurethane in Palestinian buildings was most economic option depending on degree-days, electricity price, economic conditions, and performance of heating and cooling systems.…”

Section: Introductionmentioning

confidence: 99%

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Life-cycle cost analysis of building wall and insulation materials

Kumar

Zou

Memon

et al. 2019

Journal of Building Physics

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Heat transfer through building opaque envelope is responsible for approximately half of the total heat loss and gain to and from the surroundings. Therefore, insulation materials are commonly used in the building envelope to reduce the heat transfer. Recently, lightweight wall materials with lower thermal conductivity are used in construction along with the commonly used materials such as heavy concrete and earthen materials. In this perspective, there is a need to understand the optimum insulation thickness for different types of building construction materials to minimize unnecessary usage of insulation materials. This study investigated the optimum insulation thickness for different construction materials following a life-cycle approach, where an analytical optimization methodology based on the degree-days method and life-cycle cost analysis was used. In total, 4 insulation materials and 15 building construction materials were considered in the optimization study. The objective function was to minimize life-cycle cost corresponding to the decision variables including insulation thickness and the thermal conductivity of insulation and wall materials. The results showed that the use of insulation in lightweight wall materials is not economically feasible because of their negligible cost-saving potential (below US$2.5/m2-year). However, the walls with heavy concrete and earthen materials that have high thermal mass must be insulated due to their highest cost-saving potential (US$14–26.39/m2-year).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Life-cycle cost analysis of building wall and insulation materials

Kumar

Zou

Memon

et al. 2019

Journal of Building Physics

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“…A few articles consider economically optimum insulation thickness of building construction affected by extreme climatic conditions of Asian regions [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Primary energy consumption for insulating

Terekh

Tretyakova

2020

E3S Web Conf.

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In this article a mathematical model for thermal protection level analysis is developed. It is based on the consumption rate of primary energy. It allows to calculate the relevant thickness of the selected insulation material under any climatic and economic conditions with any constant layers of building envelope taken from structural considerations. The key factors influencing the model are also evaluated. The main factors to influence the energy model are the region degree-days and the energy consumption rate for the production, transportation and installation of the insulation material. The following results were reached: this approach requires the data, which sometimes has no public access, provides us with an objective assessment criteria when comparing the level of building thermal protection in different countries.

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“…Different building shapes were investigated and some features were considered in the optimization analysis including wall and roof constructions, foundation types, insulation levels, and window types and areas. Alsayed and Tayeh [11] determined an optimal insulation thickness, which considers climatic conditions, wall structure, type and cost of insulation, cost of energy, and other economic parameters using an economic model, based on life-cycle cost analysis over a building lifetime of 20 years. Energy savings and payback periods analysis were performed for expanded polystyrene (EPS) and polyurethane foam (PU) and the results showed better performance of polyurethane foam for the cases studied.Grygierek and Grygierek [12] presented a multi-objective optimization of the selected design parameters in a single-family building in temperate climate conditions with natural ventilation.…”

mentioning

confidence: 99%

Genetic Algorithm Applied to Multi-Criteria Selection of Thermal Insulation on Industrial Shed Roof

Stamoulis¹,

Santos²,

Lenz³

et al. 2019

Buildings

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The rational use of energy has motivated research on improving the energy efficiency of buildings, which are responsible for a large share of world consumption. A strategy to achieve this goal is the application of optimized thermal insulation on a building envelope to avoid thermal exchanges with the external environment, reducing the use of heating, ventilation and air-conditioning (HVAC) systems. In order to contribute to the best choice of insulation applied to an industrial shed roof, this study aims to provide an optimization tool to assist this process. Beyond the thermal comfort and cost of the insulation, some hygrothermic properties also have been analysed to obtain the best insulation option. To implement this optimization technique, several thermo-energetic simulations of an industrial shed were performed using the Domus software, applying 4 types of insulation material (polyurethane, expanded polystyrene, rockwool and glass wool) on the roof. Ten thicknesses ranging from 0.5 cm to 5 cm were considered, with the purpose of obtaining different thermal comfort indexes (PPD, predicted percentage dissatisfied). Posteriorly, the best insulation ranking has been obtained from the weights assigned to the parameters in the objective function, using the technique of the genetic algorithm (GA) applied to multi-criteria selection. The optimization results showed that polyurethane (PU) insulation, applied with a thickness of 1 cm was the best option for the roof, considering the building functional parameters, occupant metabolic activity, clothing insulation and climate conditions. On the other hand, when the Brazilian standard was utilized, rock wool (2 cm) was considered the best choice.Buildings 2019, 9, 238 2 of 12 play a crucial role in the thermal performance of the buildings. In this context, the choice of the best insulation is difficult due to the various parameters that should be analyzed such as performance, cost, uncertainties related to hygrothermal properties, sustainability issues, etc. In this line of research, Adamczyk and Dylewski [3] proposed a methodology for assessing the environmental and economic benefits of thermal insulation. The results indicated that this investment is beneficial for ecological and economic reasons. Soares et al. [4] provided a survey of the main methods to measure the thermal transmittance and thermal behavior of construction elements such as the insulation materials.In order to promote the most adequate choice, other scientific works found in the literature can also be cited. Firstly, a literature review on determining the optimal thickness of the thermal insulation material in a building envelope and its effect on energy consumption has been carried out by Kaynakli [5]. Kaynakli [6] also investigated some parameters that affect the optimal insulation thickness, such as inflation and discount rates, lifetime, energy costs, the heating/cooling loads, and the properties of the insulation material. The optimal thickness and payback period was determined through an econo...

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Life cycle cost analysis for determining optimal insulation thickness in Palestinian buildings

Cited by 77 publications

References 16 publications

Life-cycle cost analysis of building wall and insulation materials

Life-cycle cost analysis of building wall and insulation materials

Primary energy consumption for insulating

Genetic Algorithm Applied to Multi-Criteria Selection of Thermal Insulation on Industrial Shed Roof

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