Techno-economic and environmental assessment to mitigating climate change and building energy security: a study on willingdon island

Sajith, Shambhu; Dhingra, Tarun; Kumar, Anil; Bhat, Mohammad Younus; Aswani, R S

doi:10.1080/14786451.2022.2119973

Cited by 4 publications

(2 citation statements)

References 52 publications

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“…Assorted studies have been conducted to find the optimal renewable sources based on the availability of renewable energy with different techniques (Mohamed et al, 2015). Utilizing iterative optimization to size an off-grid hybrid PV/wind/diesel/battery energy system, the researchers' main objective was to find the optimum size of each component for the cheapest produced energy and the cheapest dummy energy at the maximum level of reliability, and they used 10 types of wind turbines to choose the best type (Shambhu et al, 2021). This study provides two optimal options for each on-grid and off-grid case for fully renewable energy and diversified energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal techno-economic-environmental study of using renewable energy resources for Yanbu city

et al. 2023

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The world’s attention is increasingly focused on the growing need to diversify energy sources. Saudi Arabia is under natural pressure to seize the opportunity in the renewable energy sector. Since renewable natural resources such as wind and solar energy are less expensive and environmentally friendly, most countries like to move away from the use of fossil fuels. This paper focuses on a techno-economic-environmental study of supplying Yanbu city in Saudi Arabia with a hybrid energy system consisting of solar energy, wind energy, and storage batteries. This has been carried out by considering an off-grid system or a system connected to the grid. In order to find the best solution from technical, economic, and environmental perspectives to supply the city, 15 options were considered. Photovoltaic (PV) and wind turbines (WT) connected to a grid make up the grid-connected system. The off-grid system considers the development of a load profile for Yanbu city. In both systems, an energy storage system (ESS) is essential (off-grid and grid-connected). The results show that the 850-MW PV system connected to the grid without an ESS is the best option both economically and technically.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal techno-economic-environmental study of using renewable energy resources for Yanbu city

et al. 2023

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“…Their geographical isolation imposes the need to import fossil fuels for electricity generation and internal transportation, thereby driving the exploration of autonomous and environmentally friendly energy solutions [1,2]. The progressive integration of renewable sources, such as photovoltaic (PV) and wind power (WP) systems, has represented a transformative step towards energy self-sufficiency [3,4].…”

Section: Introductionmentioning

confidence: 99%

Innovative Power Smoothing Technique for Enhancing Renewable Integration in Insular Power Systems Using Electric Vehicle Charging Stations

Villa-Ávila,

Arévalo,

Ochoa-Correa

et al. 2023

Applied Sciences

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The reliance on imported fuels for electricity generation and internal transportation in insular electrical systems has historically posed a significant challenge due to their geographic isolation. The vulnerability of insular ecosystems to pollution has driven the need to transition toward renewable energy sources. Despite their inherent variability, wind and solar energy have gained acceptance. Integrating these renewable technologies into insular grids presents technical challenges that impact the quality of the power supply, particularly with the increasing presence of electric vehicles. Nevertheless, the batteries of these vehicles provide an opportunity to enhance network performance. This article introduces an innovative power smoothing technique that utilizes electric vehicle batteries to optimize self-consumption and reduce power fluctuations. The proposed method is an enhanced version of the ramp-rate energy smoothing method, incorporating adaptability through real-time control of the ramp-rate using fuzzy logic. It employs an aggregated model of lithium-ion batteries with a bidirectional power electronic converter. Experimental validation is carried out in the Micro-Grid Laboratory of the University of Cuenca, Ecuador. Experimental results demonstrate a significant 14% reduction in energy generation variability, resulting in a more stable electrical supply profile. Additionally, there is a marginal improvement in energy delivery, with an additional injection of 0.23 kWh compared to scenarios without the participation of electric vehicle batteries in power smoothing tasks. These findings support the effectiveness of the proposed approach in optimizing the integration of intermittent renewable generators and electric vehicle charging in insular energy systems.

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Love it or hate it? Deconstructing consumers' attitudes towards AI enabled voice shopping

Kamoonpuri,

Sengar

2024

J of Consumer Behaviour

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The conversational, social and intelligent capabilities of Artificial Intelligence (AI) enabled voice assistants (VAs) to assist humans have grown. However, their use still remains limited for complex tasks such as shopping. While some studies find that consumers are willing to use them, others report negative reactions that lead to rejection, especially for complex activities. This study aims to bridge the gap between the dichotomous streams of literature by investigating the overall attitude towards the use of AI VAs for a multi‐step task that is, shopping. We first identify 27 attitudinal criteria through a comprehensive literature review in light of the Uncanny Valley Theory and the Self Determination Theory. The criteria are organized using the cognitive, affective and conative framework of attitude, and ranked using the Fuzzy Analytical Hierarchy Process. Sensitivity analysis is done to affirm the robustness of the framework. Findings reveal that the behavioral intentions to use (conative criteria) are the strongest, followed by feelings evoked during use (affective criteria), followed by beliefs people hold regarding AI VAs (cognitive criteria). Intention to use AI voice assistants during all stages of the purchase journey takes precedence over negative feelings such as loss of control, unfulfillment and vulnerability. This study reconciles the existing stream of literature on conversational AI and provides managerial implications based on the dimensions of attitude.

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Techno-economic and environmental assessment to mitigating climate change and building energy security: a study on willingdon island

Cited by 4 publications

References 52 publications

Optimal techno-economic-environmental study of using renewable energy resources for Yanbu city

Optimal techno-economic-environmental study of using renewable energy resources for Yanbu city

Innovative Power Smoothing Technique for Enhancing Renewable Integration in Insular Power Systems Using Electric Vehicle Charging Stations

Love it or hate it? Deconstructing consumers' attitudes towards AI enabled voice shopping

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