Solar photovoltaic power generation in Iran: Development, policies, and barriers

Gorjian, Shiva; Zadeh, Babak Nemat; Eltrop, Ludger; Shamshiri, Redmond R.; Amanlou, Yasaman

doi:10.1016/j.rser.2019.02.025

Cited by 123 publications

(39 citation statements)

References 45 publications

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“…The annual establishment in 2018 was about 5% greater than in 2017, enlarging the PV power to 505 GW at the end of 2018 [12]. Solar power is an environmentally friendly opportunity because of the energy consumption and emissions reduction [13][14][15]. At present, the European Commission states the emissions reduction for 2050 as one of its significant targets [16].…”

Section: Introductionmentioning

confidence: 99%

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Pardo

Fernández²,

Jódar-Abellán

2020

Energies

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The efficient management of water and energy is one challenge for managers of water pressurized systems. In a scheme with high pressure on the environment, solar power appears as an opportunity for nonrenewable energy expenditure reduction and emissions elimination. In Spain, new legislation that eliminates old taxes associated with solar energy production, a drop in the cost of solar photovoltaic modules, and higher values of irradiance has converted solar powered water systems into one of the trendiest topics in the water industry. One alternative to store energy (compulsory in standalone photovoltaic systems) when managing pressurized urban water networks is the use of head tanks (tanks accumulate water during the day and release it at night). This work intends to compare the pressurized network running as a standalone system and a hybrid solution that incorporates solar energy supply and electricity grids. The indicator used for finding the best choice is the net present value for the solar power water system lifespan. This study analyzed the possibility of transferring the energy surplus obtained at midday to the electricity grid, a circumstance introduced in the Spanish legislation since April 2019. We developed a real case study in a small town in the Alicante Province, whose findings provide planning policymakers with very useful information in this case and similar case studies

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Section: Introductionmentioning

confidence: 99%

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Pardo

Fernández²,

Jódar-Abellán

2020

Energies

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“…Recently, Iranian policymakers developed a five-year development plan forcing the government to add 5000 MW to the total renewable energy capacity in each plan by 2021. Ever since fortunately this enforcement has resulted in achieve 4.1% and 5.7% of the two five-year consecutive plans [77]. Figure 8a demonstrates the growing trend of renewable energy capacity in Iran.…”

Section: Share Of Renewable Energy Sources In Final Energy Consumptionmentioning

confidence: 99%

Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors

et al. 2020

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Energy has a strategic role in the economic and social development of countries. In the last few decades, energy demand has been increasing exponentially across the world, and predicting energy demand has become one of the main concerns in many countries. The residential and commercial sectors constitute about 34.7% of global energy consumption. Anticipating energy demand in these sectors will help governments to supply energy sources and to develop their sustainable energy plans such as using renewable and non-renewable energy potentials for the development of a secure and environmentally friendly energy system. Modeling energy consumption in the residential and commercial sectors enables identification of the influential economic, social, and technological factors, resulting in a secure level of energy supply. In this paper, we forecast residential and commercial energy demands in Iran using three different machine learning methods, including multiple linear regression, logarithmic multiple linear regression methods, and nonlinear autoregressive with exogenous input artificial neural networks. These models are developed based on several factors, including the share of renewable energy sources in final energy consumption, gross domestic production, population, natural gas price, and the electricity price. According to the results of the three machine learning methods applied in our study, by 2040, Iranian residential and commercial energy consumption will be 76.97, 96.42 and 128.09 Mtoe, respectively. Results show that Iran must develop and implement new policies to increase the share of renewable energy supply in final energy consumption.

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“…The huge transfer of funds and technology will bring new employment opportunities. The highly concentrated fossil energy industry will be transformed into a much more diversified renewable energy industry including wind and solar energy sectors, which will give the economy of green technology an opportunity to grow (Gorjian et al, 2019) Regarding environmental issues, countries should jointly control the unlimited expansion of cities, discuss methods of improving the efficiency of urban land use, develop new urban planning programmes and protect forest areas and ecological functions (Fujii et al, 2017). In this regard, exchanges and cooperation should occur between European countries, such as France and Germany, and developing countries.…”

Section: Strengthening Cooperation To Achieve Sustainable Carbon Redumentioning

confidence: 99%

Balancing Carbon Emission Reductions and Social Economic Development for Sustainable Development: Experience from 24 Countries

et al. 2020

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The impact of human carbon emissions on climate has generated widespread global concern. We selected 24 countries as research objects and analysed the changes in carbon emissions in different countries between the establishment of emission reduction actions in 1990 and 2014. Then, we selected 19 factors representing four categories (economy, population, technology and energy) to explore the key factors that led to changes in carbon dioxide (CO 2 ) emissions in different countries. Emission reduction actions since 1990 did not lead to marked improvements, and only five countries (Russia, Germany, the United Kingdom, Italy and France) achieved reductions in carbon emissions. The factors that influenced CO 2 emissions varied among countries. In most developing countries, reductions in CO 2 emissions were caused by reductions in poverty and inherent natural conditions. Moreover, the extent of influence of a given factor on CO 2 emissions differed among countries. The global economic crisis may cause similar fluctuations in CO 2 emissions in many countries. Adjustments to energy and industrial structures are the main reason for the reduction in carbon emissions, whereas economic growth and urbanization are the two major contributors to the growth of carbon emissions. According to historical carbon emissions data, a green energy revolution must be implemented to address global climate change and ensure the sustainable development of human societies.

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Solar photovoltaic power generation in Iran: Development, policies, and barriers

Cited by 123 publications

References 45 publications

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Converting a Water Pressurized Network in a Small Town into a Solar Power Water System

Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors

Balancing Carbon Emission Reductions and Social Economic Development for Sustainable Development: Experience from 24 Countries

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