Potential Of Solar Power Generation Research Articles

Assessing the potential of solar power generation in Turkey: A PESTLE analysis and comparative study of promising regions using PVsyst software

Renewable energy sources have a tremendous amount of potential in Turkey. In the previous year, 43.2% of the country's electricity was generated from renewable energy sources. Solar photovoltaic (PV) energy accounted for 4.7% of the electricity generation and the installed capacity was 9.425 GW with 9353 solar power plants of various types. This paper provides an overview of the current state of solar PV potential in Turkey, evaluates its capacity to meet the country’s energy demand, and discusses its future prospects. The PESTLE analysis is performed based on political (P), economic (E), social (S), technological (T), legal (L), and environmental (E) factors to study the sustainable development of solar energy potential in Turkey. Furthermore, a comparative analysis of the solar energy potential between the Konya and Diyarbakır regions which are recognized as promising areas for harnessing the country's abundant solar resources has been conducted using the PVsyst software. The electricity consumption in Turkey will be 380.2 TWh in 2025, 455.3 TWh in 2030, and 510.5 TWh in 2035, according to the Turkey National Energy Plan. Hence, it is essential to maximize the use of solar energy capacity in the production of electricity tomeet the increased energy demand. The main objective of this study is to help strategic and systematic evaluation of the solar energy resource potential affecting large and small-scale solar power projects in Turkey.

Key technologies for photovoltaic power generation

In the face of the increasingly serious energy and environmental problems in the world, it is imperative to develop renewable energy, including photovoltaic power generation. The fact that photovoltaics is still in their infancy suggests that they have a lot of potential. Wide-ranging potential for solar power generation opens up a lot of room for the advancement of photovoltaic technology and industrial growth. Solar energy is mainly used for photovoltaic power generation system (PV system). Its main components are solar cells, batteries, controllers and inverters. Solar cells and MPPT technology are the two main structure in PV system. The development of solar photovoltaic power generation is the premise of the development of photovoltaic technology, because he is an important element of photoelectric conversion, which is related to the energy conversion of the entire system. MPPT voltage is a very critical parameter in the design of photovoltaic power plants. In this article, advantages and disadvantages of four different types of solar cells and their improvement methods will be exponded, while the MPPT technology starts from the traditional algorithm and the intelligent algorithm, with the introduction of several different algorithms. The final prospect of the two key technologies is given at the end of this paper.

Techno-economic analysis of photovoltaic rooftop system on car parking area in Rayong, Thailand

The intensity of solar radiation in Thailand is sufficient to produce electricity, thus the government has unconditionally promoted electricity production from solar energy, known as photovoltaic power system. Although it can reduce energy costs, it should also be environmentally friendly. This research aims to design and evaluate the photovoltaic rooftop system by concerning economic feasibility, cost of energy, and the compensation for carbon dioxide emissions. The research methodology also calculates the installation area and the solar power generation potential. Carbon dioxide emissions compensation and cost-effectiveness tools are used to evaluate the overall system. The results revealed that the photovoltaic rooftop system had the production capacity of 31.49 kilowatt-hours with an installation area of 184 m2. Solar panels orient to north direction with 11 degrees tilt from horizontal plane. The PV rooftop system generated the highest electricity around 137.103 kilowatt-hours per year and electricity production per installed system size is 4.354 kilowatt-hours per kilowatt-power. Within the period of 25 years and interest rate of 6.3145 percent, this project would be worthwhileness for the investment because the payback period is 6.83 years, the net present value is 1,523,571.70 baht, internal rate of return is 17.85 percent, benefit–cost​ ratio is 1.77, cost of energy is 2.31 baht per kilowatt-hour, in addition to the project can reduce carbon dioxide emissions by up to 643.77 tons of carbon dioxide equivalent. The promotion of electricity production from solar energy will increase the sustainability of energy and environment. In addition, the project sensitivity study indicated that initial cost, interest rate, and electricity price will be the important factors in making a decision to initiate a project.

CEA 모델을 활용한 아파트 에너지 사용량 및 태양광 잠재량 분석 : 혼합형 아파트 구조를 대상으로

Purpose: This study is to derive energy demand and solar power generation potential through CEA(City Energy Analyst) modeling for mixed type apartments in Gangnam-gu, where energy consumption is high. Method: For urban building energy modeling, EPW(EnergyPlus Weather) files were used to analyze the building energy demand and potential after installation of solar panels through CEA modeling. In the case of building energy and solar panels, solar radiation and energy-use types are derived for each building through the Solar Radiation and Schedule model in the CEA model. Result: The cooling and heating energy of buildings in the study site is greatly affected by ambient temperature and humidity, and it was found that there was a large fluctuation by season due to changes in solar radiation due to dynamics with surrounding building s and building structure.The study site had a mixed type apartment structure, so it was found that the potential for soloar power was high when mainly installed on the east wall. Using the results of this study, it is expected to be used as apreliminary data for stakeholders in future decision-making and research by presenting the necessity of research on building energy structure in cities for efficient building energy consumption and solar power generation.

A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling

SummaryWe develop and present a k-nearest neighbor space-time simulator that accounts for the spatiotemporal dependence in high-dimensional hydroclimatic fields (e.g., wind and solar) and can simulate synthetic realizations of arbitrary length. We illustrate how this statistical simulation tool can be used in the context of regional power system planning under a scenario of high reliance on wind and solar generation and when long historical records of wind and solar power generation potential are not available. We show how our simulation model can be used to assess the probability distribution of the severity and duration of energy “droughts” at the network scale that need to be managed by long-duration storage or alternate energy sources. We present this estimation of supply-side shortages for the Texas Interconnection.

Economic analysis and impact on national grid by domestic photovoltaic system installations in Pakistan

Pakistan is facing an increasing energy crisis with every passing year due to a growing population and increased industrial zones. Moreover, the energy cost is very high as it is mostly generated from conventional energy sources. Conversely, Pakistan has excellent potential for solar power generation as it lies near the equator. Due to the recent decrease in solar Photovoltaic (PV) costs, Pakistan is moving towards these solutions for both on-grid and off-grid systems. Therefore, this article focuses on the solar irradiance behavior and computation of the PV panel’s optimum angle for maximum energy harvesting in Pakistan. Moreover, the domestic economic analysis of rooftop solar PV systems is conducted based on investment cost, payback period, electricity bills reduction, and optimal metering scheme selection. Furthermore, the impact of domestic PV systems on the power grid is evaluated based on a reduction in the electrical load. This study has the potential to encourage consumers to gain monetary benefits from the investments in domestic PV systems by selling excess energy to the local distribution company. All simulations are performed in sol-metric sun-eye software. These simulations results are more versatile and meaningful under the ground conditions and actualities of Pakistan.

An assessment of the regional potential for solar power generation in EU-28

In this study we aim at assessing the potential of European regions to solar power generation and its comparison with recent European Union (EU) incentives for the development of this renewable energy source. In this study we use a multi-criteria assessment (MCA) supported by Geographical Information System (GIS) to combine already existing information on solar radiation with other geographical factors such as slope, land use, urban extent and population distribution, as well as proximity to the power grid to generate a suitability map for photovoltaic (PV) power plants across the EU at high spatial resolution. A validation exercise showed that the resulting suitability map is a good predictor of appropriate locations for the deployment of PV power plants. The suitability map was in addition compared to the regional distribution of European funds for development of solar energy from the EU Cohesion policy (2007–2013 programme). Regions were classified according their overall suitability for solar energy power systems and the allocated solar investments by the EU Cohesion policy. This analysis allowed to identify potential mismatches between fund allocations and actual regional suitability for solar energy. It is recommended that future fund allocations take into account suitability criteria for solar energy for optimised results of public policies.

Solar energy potential in Pakistan

In view of the growing needs of energy in Pakistan, the efficient use and development of renewable energy sources has become a major issue in the country. This has brought the intention of several national and multinational companies to design and implement a major work plan for energy conservation and construction of renewable energy sources like wind mills and solar panels. Fortunately, Pakistan is among those countries in which sun warms the surface throughout the year and therefore has a strong potential for solar power generation. This study was conducted to explore those areas which are most suitable for solar energy potential using fifty eight meteorological stations covering the whole country. Angstrom equation and Hargreaves formula was used to calculate monthly solar energy potential by utilizing monthly climatical data of bright sunshine hours, mean maximum and minimum temperatures. The lowest solar radiation intensity 76.49 W/m2 observed at Cherat during December and highest 339.25 W/m2 at Gilgit. The average monthly solar radiation intensity remains 136.05 to 287.36 W/m2 in the country. The results indicate that the values of solar radiation intensity greater than 200 W/m2 were observed in the months: February to October in Sindh, March to October in almost all regions of Balochistan, April to September in NWFP, Northern Areas and Kashmir regions while March to October in Punjab. For 10 h a day, average solar radiation intensity ranges from 1500 W/m2/day to 2750 W/m2/day in Pakistan especially in southern Punjab, Sindh and Balochistan regions throughout the year. In an area of 100 m2, 45 MW to 83 MW power per month may be generated in the above mentioned regions.