Thickness optimization of exterior wall insulation for different climatic regions in Morocco

Benallel, Abderrahim; Tilioua, Amine; Mellaikhafi, Abdellah; Hamdi, Moulay Ahmed Alaoui

doi:10.1016/j.matpr.2022.03.324

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…Several studies have focused on thermal insulation materials to search for material optimization (Axaopoulos et al, 2019; Benallel et al, 2022; Braulio-Gonzalo and Bovea, 2017; Nematchoua et al, 2017; Özel et al, 2015) or selection (Ayyildiz and Erdogan, 2022; Civic and Vucijak, 2014; Rocchi et al, 2018; Seddiki et al, 2016; Streimikiene et al, 2020; Zhang et al, 2021a) with material type, criteria, and method variations. Özel et al (2015) studied the glass wool and rock wool thermal insulation materials by focusing on the life cycle cost and environmental impact of materials.…”

Section: Introductionmentioning

confidence: 99%

“…Axaopoulos et al (2019) focused on the optimum insulation thickness for external walls through a single objective function approach by combining the operational and embodied CO 2 levels. Benallel et al (2022) analyzed thermal insulation material’s economic and environmental parameters for different climate regions regarding the amount of energy savings and payback periods. The optimization method has been commonly used for single-objective functions or multi-objective functions with two criteria.…”

Section: Introductionmentioning

confidence: 99%

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A multi-criteria decision-making method for thermal insulation material selection in nZEB level questioned affordable multifamily housings

Yilmaz,

Acun Özgünler,

Yilmaz

2024

Journal of Building Physics

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An affordable multifamily housing building archetype project was researched to improve the building envelope’s thermo-physical performance based on thermal insulation configurations to optimize the energy use, life-cycle cost, environmental impact, and thermal comfort with questioning nZEB concept. Five thermal insulation materials as extruded polystyrene (XPS), expanded polystyrene (EPS), rockwool (RW), glass wool (GW), and cellular glass (CG), were studied with four> attribute variations (thermal comfort, density, embodied carbon, and embodied energy) and five thickness variations (0.04, 0.08, 0.12, 0.16, 0.20 m). A total of 100 alternative scenarios> were obtained for the decision-making process, with four performance criteria to be evaluated in terms of energy, cost, thermal comfort, and environmental impact. Equal weights method (EWM), weighted sum method (WSM), and analytical hierarchy process (AHP) were examined for the multi-criteria decision-making among 46 scenariosvel. The analysis beyond the cost-optimal energy efficiency level, which varies between 64.89 and 72.62 kWh/m2a for primary energy use with a potential 10% further reduction, ensures the European Commission’s recommendations that target 50–70 kWh/m2a of primary energy use for housings in the continental climate to achieve nZEB. The best scenarios cover significantly the XPS at the head due to lover investment costs, where RW, GW, and EPS are followed among the best 10 scenarios, respectively. Besides, AHP provides a more effective distribution of weighting factors than the WSM where the best scenarios of the AHP covers 12 cm thermal insulation alternatives by balancing the investment costs and energy efficiency levels. The paper provides insight into thermal insulation material selection while searching for the advantages and priorities of thermal insulation materials’ attributes beyond the cost-optimal energy efficiency level to reach the nZEB range.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A multi-criteria decision-making method for thermal insulation material selection in nZEB level questioned affordable multifamily housings

Yilmaz,

Acun Özgünler,

Yilmaz

2024

Journal of Building Physics

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“…Their study was based on life cycle cost analysis, in which they found that the optimal insulation thickness varies significantly depending on the insulation material selected. Benallel et al [22] presented research using six Moroccan climatic regions, applying the concept of degree days and a life-cycle cost analysis to compare the economic and environmental evaluation of various thermal insulation materials integrated in the middle of a typical double wall. The results obtained show that the optimal insulation thicknesses increase with the increase in the total number of degree-days of heating and cooling; this translates into increased cost savings and a shorter payback period.…”

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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Evidence-based numerical building model enhancement and building energy efficiency evaluation in the case of Morocco

Es-sakali,

Idrissi Kaitouni,

Ait Laasri

et al. 2023

Case Studies in Thermal Engineering

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Thickness optimization of exterior wall insulation for different climatic regions in Morocco

Cited by 7 publications

References 18 publications

A multi-criteria decision-making method for thermal insulation material selection in nZEB level questioned affordable multifamily housings

A multi-criteria decision-making method for thermal insulation material selection in nZEB level questioned affordable multifamily housings

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

Evidence-based numerical building model enhancement and building energy efficiency evaluation in the case of Morocco

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