scholarly journals Acceptance of Main Power Generation Sources among Japan’s Undergraduate Students: The Roles of Knowledge, Experience, Trust, and Perceived Risk and Benefit

2021 ◽  
Vol 13 (22) ◽  
pp. 12416
Author(s):  
Lingling Wang ◽  
Tsunemi Watanabe ◽  
Kyohei Wakui

In Japan, graduates who become independent professionals in society have the right to choose energy providers given the liberalization of the electricity market in the country. This issue renders student perceptions regarding various types of energy generation a critical factor for decision making. Accordingly, we explored the risk and benefit perceptions of undergraduates regarding Japan’s main energy resources, namely, liquid natural gas (LNG), coal, hydropower, solar and nuclear resources, and petroleum. We also assessed energy acceptance among the target population and its influencing factors, such as student age and gender, school department, hometown, knowledge and experience of main power sources in Japan, and trust in government and power plant operation. These objectives were accomplished through field surveys and empirical characterizations of energy acceptance determinants. Compared with risk perception, benefit perception regarding all kinds of power generation was significantly predicted by knowledge. Experience explained only the perception of benefit from coal power generation, and benefit perception more strongly predicted energy acceptance than did risk perception. The findings suggested the necessity of university energy education programs for increased student knowledge of energy sources. Energy companies should increase energy benefits from economic, environmental, and energy security and safety perspectives to enhance energy acceptance among students. On the basis of the results, we classified energy sources in Japan into obscure (LNG and petroleum), well-known (coal and nuclear), and exploratory (hydropower and solar) resources—a first in the energy field and contributory to energy education design.

2021 ◽  
Vol 13 (18) ◽  
pp. 10261
Author(s):  
J. Sadhik Basha ◽  
Tahereh Jafary ◽  
Ranjit Vasudevan ◽  
Jahanzeb Khan Bahadur ◽  
Muna Al Ajmi ◽  
...  

This critical review report highlights the enormous potentiality and availability of renewable energy sources in the Gulf region. The earth suffers from extreme air pollution, climate changes, and extreme problems due to the enormous usage of underground carbon resources applications materialized in industrial, transport, and domestic sectors. The countries under Gulf Cooperation Council, i.e., Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates, mainly explore those underground carbon resources for crude oil extraction and natural gas production. As a nonrenewable resource, these are bound to be exhausted in the near future. Hence, this review discusses the importance and feasibility of renewable sources in the Gulf region to persuade the scientific community to launch and explore renewable sources to obtain the maximum benefit in electric power generation. In most parts of the Gulf region, solar and wind energy sources are abundantly available. However, attempts to harness those resources are very limited. Furthermore, in this review report, innovative areas of advanced research (such as bioenergy, biomass) were proposed for the Gulf region to extract those resources at a higher magnitude to generate surplus power generation. Overall, this report clearly depicts the current scenario, current power demand, currently installed capacities, and the future strategies of power production from renewable power sources (viz., solar, wind, tidal, biomass, and bioenergy) in each and every part of the Gulf region.


A simple and economic performance analysis of varied MPPT dominant techniques for standalone renewable energy sources presented during this paper. These years so as to satisfy the event in power demands and to shrink the overall warming, sustainable power sources based generally framework is functioning. Out of the sustainable power sources, sunlight based power is the prime cause. For the efficient use of yield vitality of PV array, it's fundamental to work PV frameworks inside maximum point tracking(MPPT). This work introduces an overall investigation of control calculations. The DC bus energy is reliably maintained to accomplish the consistent electrical yield. The Model of the structure is formulated in Matlab/Simulink to look at the work analysis of the techniques.


2020 ◽  
Author(s):  
Renato Frey

What drives people’s perceptions of risks and benefits associated with novel technologies? Although various psychological models of risk perception have been proposed, it has not yet been systematically tested how well such models can account for interindividual differences in large population samples, as well as for intraindividual variability that may occur across time. This article capitalizes on the current deployment of 5G—the latest generation of cellular network technology—as a topical case study to model the psychological drivers of risk perception and its associations with policy-related attitudes (e.g., voting intention). Study 1 collected a representative population sample (N = 2,919) to directly compare three psychological models of risk perception, finding that predictors such as trust, feelings of dread, and objective knowledge provide a good account for interindividual differences in perceived risk and benefit, which in turn were strongly associated with policy-related attitudes. Study 2 corroborated these findings in a cross-sectional sample (N = 960); moreover, in a longitudinal sample (N = 780), variations in the same psychological drivers were also systematically associated with intraindividual changes in perceived risk and benefit—and consequently, with policy-related attitudes. In sum, this article provides a systematic investigation of the drivers of risk perception at the level of individual participants, and corroborates the important role of risk perception in shaping policy-related attitudes.


2018 ◽  
Vol 73 (3) ◽  
pp. 374-388 ◽  
Author(s):  
Vikas Gupta ◽  
Kavita Khanna ◽  
Raj Kumar Gupta

Purpose This study aims to find out various dimensions of the risk and benefit perceptions of the consumers of street food vendors. It will identify the reasons which affect consumer’s attitude and consumption patterns towards street foods, which bring about changes in their behavioural intentions (repurchase intention and word of mouth intention). Design/methodology/approach Five risk and two benefit factors were tested on a factor model by exploratory factor analysis using 26 constructs. Two-step approach was followed in which measurement model, having six constructs with 17 measurement items, were assessed, followed by the structural model. This study explained that the consumer attitude is affected by perceived risks and benefits. Further, the risk perception negatively affects the behavioural intentions. A conceptual model was framed to depict the relationships among variables and was empirically tested. Findings The results indicate that risk and benefit perception of consumers are not only inter-related but also responsible for their changes in attitudes towards the street foods. In the factorial analysis, it was found that perceived benefit factors, i.e. convenience and value, are responsible for positively influencing the attitude of consumers towards street food. The findings indicate that reducing risk perception and increasing benefit perception will positively change the patron’s attitude. Originality/value The data collection was done through a structured questionnaire specifically drafted to collect the relevant data for the study from the 658 street food consumers in Delhi. To examine the factorability of 26 items of risk/benefit perception, 586 observations were used.


Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 186
Author(s):  
Krishan Arora ◽  
Ashok Kumar ◽  
Vikram Kumar Kamboj ◽  
Deepak Prashar ◽  
Bhanu Shrestha ◽  
...  

There is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost, a clean environment, and are available almost throughout the year. Some of the widespread renewable energy sources are tidal energy, geothermal energy, wind energy, and solar energy. Among many renewable energy sources, wind and solar energy sources are more popular because they are easy to install and operate. Due to their high flexibility, wind and solar power generation units are easily integrated with conventional power generation systems. Traditional generating units primarily use synchronous generators that enable them to ensure the process during significant transient errors. If massive wind generation is faltered due to error, it may harm the power system’s operation and lead to the load frequency control issue. This work proposes binary moth flame optimizer (MFO) variants to mitigate the frequency constraint issue. Two different binary variants are implemented for improving the performance of MFO for discrete optimization problems. The proposed model was evaluated and compared with existing algorithms in terms of standard testing benchmarks and showed improved results in terms of average and standard deviation.


2007 ◽  
Vol 2 (4) ◽  
Author(s):  
A. Hurlimann

This paper reports results from a study comparing perceived risk associated with various recycled water uses in two Australian locations, both in the state of Victoria: the capital city Melbourne, and Bendigo a regional urban centre. Both locations are experiencing ‘drought’, but Bendigo is experiencing this in a more acute manner. A case study is used in each location. Both case studies involve future use of recycled water in new commercial buildings. An on-line survey was used to measure attitudes to recycled water of the future occupants of both buildings. The study found perceived risk associated with 11 uses of recycled water increased as the use became increasingly personal. Interestingly, no difference in perceived risk associated with 11 uses of recycled water was found between locations. Prior experience (use) of recycled water was found to be a significant and positive factor in reducing risk perception. Various attitudinal variables were found to be significant influences on perceived risk. Results indicate that reducing perceived risk of recycled water use may increase satisfaction with its use.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3860
Author(s):  
Priyanka Shinde ◽  
Ioannis Boukas ◽  
David Radu ◽  
Miguel Manuel de Manuel de Villena ◽  
Mikael Amelin

In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated.


Catalysts ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 944
Author(s):  
Anil C. Banerjee

Methane (the major component of natural gas) is one of the main energy sources for gas-powered turbines for power generation, and transport vehicles [...]


Author(s):  
Jifei Wu ◽  
Xiangyun Zhang ◽  
Yimin Zhu ◽  
Grace Fang Yu-Buck

The purpose of this study was to examine the effect of the COVID-19 pandemic on customer–robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19 has a positive influence on customer–robot engagement. The positive effect is mediated by social distancing and moderated by attitudes towards risk. Specifically, the mediating effect of social distancing between the perceived risk of COVID-19 and customer–robot engagement is stronger for risk-avoiding (vs. risk-seeking) customers. Our results provide insights for hotels when they employ service robots to cope with the shock of COVID-19 pandemic.


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