Statistical evaluation of using the new generation of wind turbines in South Africa

Mostafaeipour, Ali; Jahangiri, Mehdi; Haghani, Ahmad; Dehshiri, Seyyed Jalaladdin Hosseini; Dehshiri, Seyyed Shahabaddin Hosseini; Issakhov, Alibek; Sedaghat, Ahmad; Saghaei, Hamed; Akinlabi, Esther T.; Sichilalu, Sam M.; Chowdhury, Shahariar; Techato, Kuaanan

doi:10.1016/j.egyr.2020.09.035

Cited by 70 publications

(15 citation statements)

References 25 publications

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“…In recent research works, therefore, MCDM methods have been used and covered various sources of renewable energy: solar, onshore wind, offshore wind, wave, and tidal. For the field of renewable energy site selection, the first systematic and latest review of MCDM applications and related criteria were performed in [29]: analytic hierarchy process (AHP) [33][34][35][36][37], technique for order preference by similarity to ideal solution (TOPSIS) [38][39][40][41][42], elimination and choice translating reality (ELECTRE) [43,44], data envelopment analysis (DEA) [45][46][47][48], and other MCDM methods [49,50]. Among these, it is found that AHP has been the most commonly used method for weighting criteria, especially for renewable energy site selection and the field of solar energy evaluation in particular.…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

et al. 2021

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At the heart of Covid-19 responses, the transition from fossil sources to green energy is an urgent issue for nations to address the crisis and secure sustainable economies. As a country in a seismically active zone that relies heavily on imported fossil fuels, Taiwan is vigorously taking the next step in renewable energy development, which is pivotal to securing its position in global supply chains. Solar energy is today the most suitable renewable energy source for Taiwan. However, land prices and policies, and challenges of scale still hinder its development. In this context, identifying optimal sites for solar photovoltaic (PV) construction is a crucial task for major energy stakeholders. In this paper, a two-stage approach, combining the data envelopment analysis (DEA) models and the analytic hierarchy process (AHP), has been done for the first time to identify the most suitable locations among 20 potential cities and counties of Taiwan for constructing solar PV farms. DEA models were applied to filter out the areas with the most potential by measuring their efficiency indices with temperature, wind speed, humidity, precipitation, and air pressure, as inputs, and sunshine hours and insolation, as outputs. The locations with perfect efficiency scores were then ranked with the AHP method. Five selected evaluation criteria (site characteristics, technical, economic, social, and environmental) and sub-criteria of each were utilized to prioritize the locations with solar energy potential. AHP was used to determine the relative weights of the criteria and sub-criteria and the final weights of the areas. For criteria weighting results, "support mechanisms," "electric power transmission cost," and "electricity consumption demand" with weights of 0.332, 0.122, and 0.086, respectively, were found as the most significant sub-criteria. The final ranking suggests Tainan, Changhua, and Kaohsiung as the top three most suitable cities for constructing solar PV energy systems.INDEX TERMS Renewable energy, Taiwan, solar photovoltaic (PV) power plant, site selection, decision making, DEA, AHP.

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Section: Literature Reviewmentioning

confidence: 99%

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

et al. 2021

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“…This problem can be solved by either expanding power grids or building off-grid power generation systems. While a large portion (roughly 75%) of the world's electricity still comes from fossil fuel sources [2], the problems associated with overreliance on these fuels, including environmental degradation and climate change due to CO 2 emissions [3], have turned renewable energy sources such as wind [4,5], solar [6], and geothermal [7,8] into viable alternative sources of energy. However, there are still many problems with the use of standalone off-grid renewable systems to meet localized power demand, most notably high investment costs and low reliability due to the inherent uncertainty of renewable energy sources [9].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this study is a technical, economic, and environmental evaluation of the use of HRES to power a rural area in southern Iran. The objectives and innovations of this study are as follows: (1) this is the first study on the use of HRES to power remote areas without grid access in Iran; (2) this is the first study to optimize the components of HRES for this purpose; (3) the results can be used for neighboring villages and other underdeveloped areas with similar climate (e.g., in Afghanistan); (4) a sensitivity analysis with 27 parameter settings has been performed on the parameters that might influence the price of generated electricity; (5) this is the first study to investigate hydrogen production from HRES built-in remote areas as a risk reduction solution. Regarding the last item, it should be explained that the government tends to not take the risk of investing in renewable energy in remote rural areas that could become uninhabited in the future, but by bringing hydrogen production into the picture, the present study offers a way to hedge this risk and raise the confidence in the viability of this investment.…”

Section: Introductionmentioning

confidence: 99%

Use of a Hybrid Wind—Solar—Diesel—Battery Energy System to Power Buildings in Remote Areas: A Case Study

et al. 2021

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The emerging environmental consequences of overdependence on fossil fuels have pushed many countries to invest in clean and renewable sources of power. Countries like Iran where these sources can be found in abundance can take advantage of this potential to reduce their dependence on fossil fuels. This study investigated the feasibility of the standalone use of a hybrid renewable energy system (HRES) to power buildings in the Bostegan village in the Hormozgan province of Iran. Technical, economic, and environmental assessments were performed with the help of the Hybrid Optimization of Multiple Energy Resources (HOMER) software, and the optimal configuration for the system components was determined accordingly. The results showed that the simultaneous use of wind and solar systems with a converter and a backup system comprised of a diesel generator and batteries will be the most economic option, offering electricity at a cost of 1.058 USD/kWh and with a renewable fraction of 64%. After selecting the most optimal system using the step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS) techniques, a sensitivity analysis with 27 parameter settings was performed to determine the effect of fuel price fluctuations and the uncertainty in the renewable energy potentials on the results. This analysis showed that in the worst-case scenario, the price of electricity will reach as high as 1.343 $/kWh. In the end, the study investigated an alternative scenario where the generated power is used for hydrogen production, which showed that the system output can be used to produce 643.63 ton-H2/year.

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“…Buildings contribute a lot to pollution production and energy consumption (Jahangiri et al, 2016;Mostafaeipour et al, 2020;Kalbasi et al, 2021;Parsa, 2021;Song et al, 2021). Many solutions have been recommended by various researchers to reduce energy consumption (Ahmadi et al, 2017;Ahmad et al, 2018;Nwaji et al, 2019;Sarafraz et al, 2019;Azimi Fereidani et al, 2021;Nundy et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Loading PCM Into Buildings Envelope to Decrease Heat Gain-Performing Transient Thermal Analysis on Nanofluid Filled Solar System

et al. 2021

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The high share of buildings in energy consumption and carbon dioxide emission has led researchers to seek techniques to reduce energy consumption in this sector. In this study, considering a hot and arid climate region, the wall’s heat gain was investigated. To reduce energy demand, three techniques of adding PCM, combining absorption chiller with a solar system and dispersing nanoparticles were used and the results were evaluated transiently. In July, the addition of PCM to the building's walls reduced the heat exchange between interior and exterior spaces up to 21%. To cool the interior spaces, the combination of absorption chiller + fan coil was used and several flat plate collectors were integrated with it to reduce energy demand. By collecting energy in solar collectors and using a stratified tank, energy consumption in the generator section was reduced by 450 kWh. Nanoparticles were used to improve the solar system performance and it was found that loading ZnO and Al2O3 nanoparticles is useful. Dispersing ZnO into water increased the energy-saving by 9.5% while the second nanoparticle improved it by 14.5%.

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Statistical evaluation of using the new generation of wind turbines in South Africa

Cited by 70 publications

References 25 publications

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

A Two-Stage Multiple Criteria Decision Making for Site Selection of Solar Photovoltaic (PV) Power Plant: A Case Study in Taiwan

Use of a Hybrid Wind—Solar—Diesel—Battery Energy System to Power Buildings in Remote Areas: A Case Study

Loading PCM Into Buildings Envelope to Decrease Heat Gain-Performing Transient Thermal Analysis on Nanofluid Filled Solar System

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