Green Envelop Impact on Reducing Air Temperature and Enhancing Outdoor Thermal Comfort in Arid Climates

Wahba, Sherine; Kamil, Basil; Nassar, Khaled; Abdelsalam, Ahmed

doi:10.28991/cej-2019-03091317

Cited by 40 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4) Socio economic drought: In which drought causes economic and social negative effects on people's lives. For example, farmers' income decreases [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Copula Based Spatial Analysis of Drought Return Period in Southwest of Iran

Kavianpour¹,

Seyedabadi²,

Moazami³

et al. 2020

Period. Polytech. Civil Eng.

View full text Add to dashboard Cite

In the past years, Khuzestan province which is located in the southwest of Iran has experienced severe droughts. Drought can be explained by its characteristics known as duration or severity. However, combination of the two features by probabilistic approach is appeared to be a well improved method to describe the phenomena. The aim of this study is to provide a more accurate statistical method of determining drought based on simultaneous analysis of two drought characteristics. Here, precipitation data from twenty stations were used to determine drought characteristics, by Standardized Precipitation Index (SPI). Joint probability function of two variables were built via copula functions. The drought return period was calculated in the form of two scenarios. The first scenario is, based on an assumption that drought is recognized by at least one of the two specific characteristics. Drought in the second scenario is distinguished by the two characteristics in a joint probabilistic form. According to research results, there was no significant difference between the north and south of Khuzestan in the study of single characteristics of drought. While analyzing two characteristics of the drought, the return period in the north was shorter than the south. The return period of droughts in the east was always shorter than in the west. The drought return period varies from 30 to 52 months and 50 to 87 months for the first and second scenarios, respectively.

show abstract

“…4) Socio economic drought: In which drought causes economic and social negative effects on people's lives. For example, farmers' income decreases [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Copula Based Spatial Analysis of Drought Return Period in Southwest of Iran

Kavianpour¹,

Seyedabadi²,

Moazami³

et al. 2020

Period. Polytech. Civil Eng.

View full text Add to dashboard Cite

show abstract

“…The measurements taken to reduce energy consumption in residential building should not affect thermal comfort conditions. Some authors have suggested and studied the effect of facade shading and green roofs in conserving thermal comfort with less consumed energy [14][15][16]. These different modeling techniques have different strengths, weaknesses, capabilities, and applicabilities.…”

Section: Overview Of Modeling Methodologiesmentioning

confidence: 99%

A Study of Modeling Techniques of Building Energy Consumption

Zerroug

Dzelzītis

2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

Residential energy consumption accounts for more than 40% of the total energy consumed in the world. The residential sector is the biggest consumer of energy in every country, and therefore focusing on the reduction of energy consumption in this sector is very important. The energy consumption characteristics of the residential sector are very complicated and the variables affecting the consumption are wide and interconnected, so more detailed models are needed to assess the impact of adopting efficient and renewable energy technologies suitable for residential applications. The aim of this paper is to review some of the techniques used to model residential energy consumption. They are gathered in two categories: top-down and bottom-up. The top-down approach considers the residential sector as an energy sink and does not take into account the individual end-uses. The bottom-up approach uses the estimated energy consumption of a representative set of individual houses and extrapolates it to regional and national levels. Based on the strengths, shortcomings, and purposes, an analytical review of each technique, is provided along with a review of models reported in the literature.

show abstract

“…is effectively solving above issue [24][25][26]. In addition, some new technologies are used to solve problems of energy consumption (such as technology of green envelop, driving technologies) [27,28].…”

Section: Author Copymentioning

confidence: 99%

Energy Consumption and Growth of China’s Logistics Industry: an Empirical Analysis Based on “Growth Drag”

Ju¹,

Tang²

2021

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Logistics is China's core industry. However, excessive energy dependence restricts its growth rate and leads to environmental pollution problems. It can help to deal with the above problems by studying the relationship between the growth of the logistics industry and energy consumption. This study firstly constructed a model for calculating the growth drag of energy consumption, and then the empirical analysis was conducted by collecting data. The main results show that the marginal contribution rate of various energy sources (i.e. coal, crude oil, natural gas and clean electricity) to the growth of the logistics industry was -0.052581, -0.011915, 0.257324, and 0.011479, respectively. The growth drag of various energy sources was 0.005252, 0.001184, 0.21806, and 0.001880, respectively. The above results revealed that the consumption of coal and crude oil not only slow down the growth rate of the logistics industry, but also had a negative impact on the industry. Compared with theabove conclusion, while natural gas and clean electricity restricted the growth rate, they had positive impact on the industry. Finally, relevant policy implications were proposed according to the above conclusions.

show abstract

Green Envelop Impact on Reducing Air Temperature and Enhancing Outdoor Thermal Comfort in Arid Climates

Cited by 40 publications

References 18 publications

Copula Based Spatial Analysis of Drought Return Period in Southwest of Iran

Copula Based Spatial Analysis of Drought Return Period in Southwest of Iran

A Study of Modeling Techniques of Building Energy Consumption

Energy Consumption and Growth of China’s Logistics Industry: an Empirical Analysis Based on “Growth Drag”

Contact Info

Product

Resources

About