Landscape framework for the exploitation of renewable energy resources and potentials in urban scale (case study: Iran)

Norouzi, Maryam; Yeganeh, Mansour; Yusaf, Talal

doi:10.1016/j.renene.2020.08.051

Cited by 25 publications

(9 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this article, as demonstrated in Figure 1, we performed a dimensional visualization of the distribution of fine particulate matter trends according to climate conditions such as relative humidity and temperature parameters in Tehran. This section involved data preparation for the regression model (Yeganeh et al, 2018;Yeganeh, 2020;Norouzi et al, 2021). Next, several machine learning models were used to predict the concentration of PM2.5: simple regression, build polynomial model, and Linear Support Vector Machines with different kernels.…”

Section: Introductionmentioning

confidence: 99%

Urban buildings configuration and pollutant dispersion of PM 2.5 particulate to enhance air quality

Shamsabadi¹,

Yeganeh²,

Pourmahabadian³

2022

Front. Sustain. Food Syst.

Self Cite

View full text Add to dashboard Cite

A pivotal element for metropolitan planning and an essential component describing the urban design is block typology, affecting the pollution concentration. Consequently, this research examines the influence of various urban block typologies on urban pollutant distribution. Four typologies are simulated by ENVI-MET software. These typologies are cubic-shaped, L-shaped, C-shaped, and linear-shaped models. Urban air quality was assessed using relative humidity, temperature, and pollution PM2.5 concentration. The performance of typologies in terms of temperature, relative humidity, and reduction of air permeability is strongly dependent on the blocks' orientation, the block shape's rotation concerning the horizontal and vertical extensions, the height of the blocks, and the type of typology. According to these parameters, the performance is different in each of these studied typologies. Regression models propose a more reliable prediction of PM2.5 when the independent variables are temperature, relative humidity, and height of buildings, among various block typologies. Hence, this article suggests a machine learning approach, and the model evaluation shows that the Polynomial Linear Regression (PLR) model is excellent for measuring air pollution and temperature.

show abstract

Section: Introductionmentioning

confidence: 99%

Urban buildings configuration and pollutant dispersion of PM 2.5 particulate to enhance air quality

Shamsabadi¹,

Yeganeh²,

Pourmahabadian³

2022

Front. Sustain. Food Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…(2021) Cultural Howard et al ( 2013 ), Moussa and Mahmoud ( 2017 ); Moussa ( 2018 ), Delina ( 2020 ), de Jong and Stremke (2020), Moussa et al ( 2020 ), Moussa and Dewidar ( 2020 ), Cronin et at. (2021), Norouzi et al ( 2021 ) …”

Section: The Application Of Energy-scape Concept: Literature Reviewmentioning

confidence: 98%

“…(The case of Italy was addressed.) Norouzi et al ( 2021 ) analysed possibilities to exploit Iran's renewable energy resources in the context of landscape design.…”

Section: The Application Of Energy-scape Concept: Literature Reviewmentioning

confidence: 99%

Energy-space concept for the transition to a low-carbon energy society

Siksnelyte-Butkiene

Štreimikienė

Agnusdei

et al. 2022

Environ Dev Sustain

View full text Add to dashboard Cite

Urban and regional development is indispensable from energy systems that function in a sustainable and resilient manner. The generation of renewable energy has seen significant upturn in the last decade. Renewables can be exploited to meet the global energy needs and climate change mitigation goals. Therefore, development of urban and regional energy systems must take into account the possibilities and challenges posed by the increasing penetration of the renewable. The achievement of goals of the energy system in the context of transition to low-carbon energy society rises numerous complex decisions over development of infrastructure and technologies. Although renewable energy devices generate clean energy, they also change landscape. The term of energy-scape encourages discussion about interactions between the energy system and the environment, and other ecosystem services at local level. The paper reviews previous studies analysing energy-scape elements and provides the insights towards the transition to low-carbon energy and low-carbon society in general. The systematic literature review allows clearly outlining the problem and gives reliable background for further studies. The main contribution of the article to the existing literature is the creation of framework for the analysis and assessment of new renewable energy technologies installation and infrastructure. The presented framework can be applied for all renewable energy technologies and infrastructure in both urban and rural areas and allows to attain a decision acceptable to the local community.

show abstract

“…Poudyal et al [30] presented an up-to-date perspective on the present energy crisis in Nepal. Norouzi et al [31] provided a meta-analysis of renewable landscape energies in Iran. Baky MA et al [32] presented a systematic review of the future potentials and present status of renewable energy sector in Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

Potential assessment of renewable energy resources and their power plant capacities in Iran

Ahmadi

2022

new n.a. exploit. and appl.

View full text Add to dashboard Cite

Today, most developed and developing countries utilize renewable energy to meet their needs. The use of renewable energy prevents environmental pollution. A concern of the governments is to deal with environmental pollution. In this paper, the types of renewable energy used in electricity generation in Iran have been studied. Studies show that during the last 20 years, 1.5% of the amount of electricity produced in Iran is supplied by renewable energy. Iran also has a much greater potential for utilizing renewable energy. By 2020, Iran has a potential of 42000 MW use of renewable energies. However, the capacity of renewable power stations constructed in Iran is 800 MW. Different regions of Iran have high wind, solar and geothermal energy potential, which unfortunately has not been used enough to meet industrial needs.

show abstract

Landscape framework for the exploitation of renewable energy resources and potentials in urban scale (case study: Iran)

Cited by 25 publications

References 49 publications

Urban buildings configuration and pollutant dispersion of PM 2.5 particulate to enhance air quality

Urban buildings configuration and pollutant dispersion of PM 2.5 particulate to enhance air quality

Energy-space concept for the transition to a low-carbon energy society

Potential assessment of renewable energy resources and their power plant capacities in Iran

Contact Info

Product

Resources

About