Energy efficiency and economic profitability between standard and high energy performance dwellings in a semi-arid climate

Errebai, Farid Boudali; Derradji, Lotfi; Limam, Amel; Amara, Mohamed

doi:10.1080/01430750.2021.1874525

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…For example, in countries with high temperatures, the use of air conditioning and ventilation systems can increase, which translates into an increase in electricity demand (Dell et al, 2012). On the other hand, in countries with low temperatures, the use of heating systems may increase, which may also increase energy demand (Errebai et al, 2022). In this regard, it could be thought that an increase in temperature could have a positive impact on the financial profitability of companies in the energy sector, as it could increase the demand for energy and, therefore, increase the profits of these companies.…”

Section: Weather Conditionsmentioning

confidence: 99%

“…Therefore, understanding the relationship between macroeconomic and climate variables and financial profitability is essential for making informed investment decisions and for the sustainable growth of companies in the energy sector (Eboli et al, 2010;Huang et al, 2021). Europe is a clear example of the current external issues affecting the generation, distribution, and commercialization of energy.…”

Section: Introductionmentioning

confidence: 99%

“…The review of the existing literature on the subject shows that there are previous studies that have evaluated the effect of climate variables on the financial profitability of energy sector companies (Errebai et al, 2022;Jalilzadehazhari et al, 2020). For example, some studies have evaluated the impact of temperature on wind and solar energy production.…”

Section: Introductionmentioning

confidence: 99%

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How do Climate and Macroeconomic Factors Affect the Profitability of the Energy Sector?

Joaqui-Barandica

Manotas-Duque

2023

IJEEP

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This research identifies the significant relationships between climate and macroeconomic variables with the financial profitability (ROA) of energy sector companies in Germany, Norway, France and Spain. We work under the hypothesis of the existence of non-linear relationships for which we fit a Generalized Additive Model (GAM) for each country. We find that macroeconomic variables are often considered more important for modeling profitability than climate variables. This is because general economic conditions, such as interest rates and commodity prices, can have a broader and deeper impact on a firm's financial performance than local climate variations. However, climatic conditions are relevant if the specific industry consists of renewable energy companies. The results of this study can be very useful for financial analysts and investors, as they can adjust their business strategies to improve their financial performance.

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Section: Weather Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How do Climate and Macroeconomic Factors Affect the Profitability of the Energy Sector?

Joaqui-Barandica

Manotas-Duque

2023

IJEEP

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“…Energy efficiency in the building sector has become a major concern of energy and climate policies as it represents 40% [1] of global worldwide energy consumption. In Algeria, Building sector presents about 43% of final energy consumption [2], which is mainly related to the use of heating and cooling equipment [3]. The improvement of the energy efficiency of the buildings contributes to the preservation of the environment.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Daylight Factor Model for Window Size Optimization and Energy Efficient Building Envelope Designs

Mebarki

Djakab

Mokhtari³

et al. 2021

Journal of Daylighting

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Based on a new approach for the prediction of the Daylight Factor (DF), using existing empirical models, this research work presents an optimization of window size and daylight provided by the glazed apertures component for a building located in a hot and dry climate. The new approach aims to improve the DF model, considering new parameters for daylight prediction such as the orientation, sky conditions, daytime, and the geographic location of the building to fill in all the missing points that the standard DF, defined for an overcast sky, presents. The enhanced DF model is considered for the optimization of window size based on Non dominated Sorting Genetic Algorithm (NSGA II), for heating and cooling season, taking into account the impact of glazing type, space reflectance and artificial lighting installation. Results of heating and cooling demand are compared to a recommended building model for hot and dry climate with 10% Window to Wall Ratio (WWR) for single glazing. The optimal building model is then validated using a dynamic convective heat transfer simulation. As a result, a reduction of 48% in energy demand and 21.5% in CO2 emissions can be achieved. The present approach provides architects and engineers with a more accurate daylight prediction model considering the effect of several parameters simultaneously. The new proposed approach, via the improved DF model, gives an optimal solution for window design to minimize building energy demand while improving the indoor comfort parameters.

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Energy Management of Smart Buildings in the Era of Connected Innovation and Technology

2024

Connected Innovation and Technology X.0 1

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Energy efficiency and economic profitability between standard and high energy performance dwellings in a semi-arid climate

Cited by 8 publications

References 34 publications

How do Climate and Macroeconomic Factors Affect the Profitability of the Energy Sector?

How do Climate and Macroeconomic Factors Affect the Profitability of the Energy Sector?

Improvement of Daylight Factor Model for Window Size Optimization and Energy Efficient Building Envelope Designs

Energy Management of Smart Buildings in the Era of Connected Innovation and Technology

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