Distributed wind and solar power for grid sustainability and emission reduction

Noorollahi, Younes; Kalantari, Amir; Saifoddin, Amirali; Yousefi, Hossein

doi:10.1002/ep.13686

Cited by 6 publications

(7 citation statements)

References 39 publications

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“…On the other hand, the relationship collapses when globalization is coupled with nonrenewable energy sources. Several other studies have corroborated the correlation between wind and solar energy demand and the capping of carbon emissions [56][57][58][59]. The results further revealed that increased coal and brown coal consumption increases carbon intensity worldwide.…”

Section: Resultssupporting

confidence: 53%

Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development

et al. 2021

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The global energy mix is shifting from fossil fuels to combinations of multiple energy storage and generation types. Hybrid energy system advancements provide opportunities for developing and deploying innovative green technology solutions that can further reduce emissions and achieve net-zero emissions by 2050. This study examined the impact of an increasing share of wind and solar electricity production on reducing carbon intensity by controlling coal and lignite domestic consumption and the production of refined oil products in a world aggregated data panel. Data covering the last three decades were used for the analysis by the ARDL bounds testing approach. The results showed that an increasing share of wind and solar electricity production would be helpful to decrease carbon intensity in the short and long term. On the other hand, a 1% increase in coal and domestic lignite consumption increased carbon intensity by 0.343% in the short run and 0.174% in the long run. The production of refined oil products decreases carbon intensity by 0.510% in the short run and 0.700% in the long run. However, refining oil products is associated with positive and negative environmental externalities. The positive aspect depends upon the removal of harmful pollutants and the production of cleaner-burning fuels, while the negative part is related to the operational side of refineries and processing plants that may release contaminants into the atmosphere, affecting global air and water quality. Hence, it is crucial to improve processing and refining capacity to produce better-refined oil products by using renewable fuels in energy production. It is proposed that these are the most cost-effective pathways to achieve industrial decarbonization.

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Section: Resultssupporting

confidence: 53%

Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development

et al. 2021

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“…Weibull distribution is a suitable model for determining the frequency distribution in the studied locations. It is defined by the following equation [10][11][12]:…”

Section: Wind Characteristicmentioning

confidence: 99%

Temperature and Wind Distribution Effects on Wind Energy Production in Adrar Region (Southern Algeria)

Benmedjahed¹,

Dahbi²,

Hadidi³

et al. 2021

IJSDP

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The hottest transitions occur in the summer, as we notice during this period the peak of electricity consumption in Adrar, where the electricity network must use all kinds of energy, especially the wind energy produced by Cabertein wind farm. We evaluated the effect of temperature and wind distribution on the energy produced by one of Gamesa G52 wind turbines, and this was done by studying the wind distribution and determining the number of hours per year according to five cases. Finally, to estimate the monthly produced energy, we used a logical temperature equation, and then we determined the seasonal and annual energy. Low winds are the only reason why wind turbines are unable to produce electricity for a monthly period ranging from 152 An hour (May) to 274 hours (September), meaning that the seasonal production stop, for this reason, ranges between 590 hours (spring) and 779 hours (summer), with an average of 2736 hours per year, while temperatures did not constitute an obstacle to electricity production except. In three months for a short period of 2 hours (June and July) and 22 hours (August), affecting production in the summer season, with an estimated time of 26 hours.

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“…So, it is predicted that the demands and installations of grid‐connected distributed generation (DG) systems will increase rapidly 7–10 . The distributed photovoltaic energy system reduce reliance on upstream distribution systems, annual energy losses and carbon dioxide emission 11 …”

Section: Introductionmentioning

confidence: 99%

“…[7][8][9][10] The distributed photovoltaic energy system reduce reliance on upstream distribution systems, annual energy losses and carbon dioxide emission. 11 Electrical distribution system (EDS) can manage and meet the rising demand of load by integration of distributed energy generation resources. [12][13] Distributed generation resources like photovoltaic system and electric load are integrated with the energy storage system (ESS) in the EDS.…”

mentioning

confidence: 99%

Photovoltaic distributed generation integrated electrical distribution system for development of sustainable energy using reliability assessment indices and levelized cost of electricity

Tamoor

Tahir

Zaka³

et al. 2022

Env Prog and Sustain Energy

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Reliability assessment index is one of the main performance indicator for analyzing the impact of distributed energy generation system in the utility distribution system and minimize the costs associated with energy interruptions. In this study, sustainable energy development by using integrated photovoltaic distributed generation (DG) system considering reliability assessment indices and levelized cost of energy are presented. Electrical transient and analysis program simulation software are used for evaluation and assessment of the reliability indices based on the failure rate, average annual power interruption/outage time and repair time. The analytical method are used to evaluate the expected interruption cost (ECOST) of the system. HelioScope software is a photovoltaic simulation tool are used to design and calculate the energy generation (kWh) as well as global horizontal irradiation (kWh/m2) of the photovoltaic system. Experimental test system is a radial distribution network consisting of an 11.0 kV feeder emanating from 132.0 kV distribution grid station Satiana. According to the reliability evaluation and assessment of experimental test system before integration of photovoltaic distributed energy generation, the average service availability index (ASAI) is 0.9648 per unit. Then, the expected energy not supplied (EENS) is 772.0308 MWh per year and ECOST is 386,652,468.18 PKR per year. After integration of Photovoltaic DG, ASAI is 0.9741 per unit, then the EENS is 563.8584 MWh per year and integration ECOST is 227,087,143.39 PKR per year. The results showed that integrated PV DG system improve the reliability of conventional energy distribution systems.

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Distributed wind and solar power for grid sustainability and emission reduction

Cited by 6 publications

References 39 publications

Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development

Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development

Temperature and Wind Distribution Effects on Wind Energy Production in Adrar Region (Southern Algeria)

Photovoltaic distributed generation integrated electrical distribution system for development of sustainable energy using reliability assessment indices and levelized cost of electricity

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