2019
DOI: 10.1016/j.conbuildmat.2019.02.006
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Optimizing the insulation thickness of external wall by a novel 3E (energy, environmental, economic) method

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Cited by 59 publications
(11 citation statements)
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“…A exch,y A liv (32) where EC exis heat,y and EC reno heat,y are the annual heating energy costs per unit of exchange surface of element y of the existing and renovated buildings, respectively, in €/m 2 •year, and are calculated using Equation 28; EC exis cool,y and EC reno cool,y are the annual cooling energy costs per unit of exchange surface of element y of the existing and renovated buildings, respectively, in €/m 2 •year, and are calculated using Equation (29). EC exis cool,y and EC reno cool,y in Equation (32) are zero when the optimum insulation thickness that minimizes the total heating cost is used.…”
Section: Estimation Of the Energy Parameters To Achieve Nzebmentioning
confidence: 99%
“…A exch,y A liv (32) where EC exis heat,y and EC reno heat,y are the annual heating energy costs per unit of exchange surface of element y of the existing and renovated buildings, respectively, in €/m 2 •year, and are calculated using Equation 28; EC exis cool,y and EC reno cool,y are the annual cooling energy costs per unit of exchange surface of element y of the existing and renovated buildings, respectively, in €/m 2 •year, and are calculated using Equation (29). EC exis cool,y and EC reno cool,y in Equation (32) are zero when the optimum insulation thickness that minimizes the total heating cost is used.…”
Section: Estimation Of the Energy Parameters To Achieve Nzebmentioning
confidence: 99%
“…To calculate the amount of energy required to satisfy the heating and cooling demand in the simulation building, the Energy-Plus software utilized many program modules that operated simultaneously. This software calculates the heat load according to the thermal balance method, which can take into account the climatic characteristics over time, thereby considering the complete thermal balance of the inner and outer surfaces and the transient heat conduction through the building [45,46]. In this study, the time step was set as 30 min.…”
Section: Analysis Methods and Conditions 221 Energy Simulationmentioning
confidence: 99%
“…Many authors considered the optimization of the insulation thickness of the external envelope considering three different aspects: environmental, energy and, economic [44]. The performance of the buildings was compared in terms of the energy demand for heating and cooling respectively (kWh/(m 2 year) and MWh/year), net cost for energy for heating and cooling ($/m 2 ) [45][46][47], the global warming potential (GWP) for the evaluation of CO 2 emissions into the atmosphere, the total cost including energy and environmental cost [48,49], and the payback period [50,51]. For instance, D'Agostino et al [46], through a cost-optimal analysis for the optimization of the insulation layer in an office building, showed that excessive insulation in a Mediterranean climate does not always lead to an advantage in terms of energy savings, mainly due to the increased energy requirements for cooling during the summer season.…”
Section: State Of the Artmentioning
confidence: 99%