Article
Environmental Sciences
Dylan Bugden, Richard Stedman
Summary: Research comparing two waves of survey data on the social acceptance of smart grid technologies demonstrates that social acceptance may actually decrease over time, challenging optimistic views of smart grid technology and broader theoretical arguments in the literature. Factors shaping acceptance also change over time.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Green & Sustainable Science & Technology
Rodica Ianole-Calin, Elena Druica
Summary: This study employs the risk technology acceptance model to explain the intention to use smart grid technologies in Romania. The results indicate that perceived usefulness and perceived ease of use have a positive impact on the intention to use, while perceived risk has a negative impact. Furthermore, the study finds that perceived risk determines perceived usefulness, rather than the other way around.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Multidisciplinary
Raz Kamaran Radha
Summary: This study establishes practical guidelines for designing Flexible Smart Home Models based on the lifestyle requirements of Smart Home inhabitants in Sulaymaniyah, Iraq. The results show that younger people are more accepting of high technology and flexible spatial integration of public and private zones.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Gamal Alkawsi, Nor'ashikin Ali, Yahia Baashar
Summary: The rapid development of smart technologies and data analytics is facilitating the rapid diffusion of smart metering technology in the energy sector, but consumer acceptance of smart meters remains a challenge. To better understand consumers' acceptance of smart meters, researchers have developed a smart meter acceptance model to evaluate the moderating role of experience and personal innovativeness factors among residential consumers.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Joy Billanes, Peter Enevoldsen
Summary: Lack of willingness to adopt Smart Energy Technologies (SETs) can hinder their application in buildings. This study integrates literature and applies the Technology Acceptance Model (TAM) to investigate the factors influencing behavioral intention (BI) towards SETs. The findings suggest significant effects of TAM factors and external factors on BI, providing valuable insights for promoting the adoption of SETs in residential buildings.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Ala Nekouvaght Tak, Burgin Becerik-Gerber, Lucio Soibelman, Gale Lucas
Summary: We developed a framework to investigate the drivers for and barriers against adopting integrated smart home technologies to encourage broader adoption of these technologies that can significantly reduce the environmental impact of residential buildings. The results showed that performance expectancy, effort expectancy, habit, and trust had significant effects on adoption intent. Privacy and transparency were found to be predictors of trust, and interaction adequacy and customizability had a strong effect on effort expectancy.
BUILDING AND ENVIRONMENT
(2023)
Article
Education & Educational Research
Ameer Alhasan, Mahmood H. Hussein, Lukman Audah, Ammar Al-Sharaa, Ishaq Ibrahim, Moamin A. Mahmoud
Summary: Recently, there has been increased interest in the adoption of IoT services in the education sector. However, empirical studies on IoT services in the smart classroom are limited. This study proposes an integrated model to examine students' intention to use IoT services in the smart classroom. The findings show that compatibility, discomfort, enjoyment, and self-efficacy significantly influence students' perceived ease of use and perceived usefulness of IoT services. The study also highlights the impact of innovativeness and insecurity on students' intention to use IoT services.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Review
Business
Martin Rochi
Summary: Artificial intelligence has a growing influence on our daily lives, raising concerns about technology paternalism (TP) where algorithms make decisions without user consent and potentially threaten users' well-being. However, TP has been neglected in recent scientific debates, and little is known about how smart products affect user perceptions of autonomy and control. This paper summarizes the state of knowledge on TP and develops a theoretical framework for understanding its relationship with technology acceptance and resistance, using psychological reactance theory (PRT) to propose future research directions and highlight challenges in studying the acceptance of smart products.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Business
Paolo Gerli, Jessica Clement, Giovanni Esposito, Luca Mora, Nathalie Crutzen
Summary: This paper explores how psychological factors affect skill development in the context of smart farming technologies based on the theoretical framework of the Technology Acceptance Model (TAM). Through interviews with multiple stakeholders, a new conceptual model is developed to understand the complex interplay between skills and psychological factors. The findings highlight the importance of considering the interplay between cognitive and emotional components in decision-making regarding the adoption and use of smart technologies, and emphasize the need for policy initiatives that address cognitive and emotional barriers.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Muneer Nusir, Mohammad Alshirah, Rayeh Alghsoon
Summary: This study investigates the factors influencing citizens' intention to adopt smart city technologies in the Arab world. A questionnaire was distributed to 312 end users in Amman, the capital city of Jordan. Advanced statistical techniques were used to test a technology acceptance model that includes factors such as perceived usefulness, ease of use, security and privacy, ICT infrastructure, internet connectivity, social influence, and demographics. The results indicate that ease of use and ICT infrastructure and internet connectivity are positively associated with citizens' intention to adopt smart city services in Jordan. This study provides theoretical implications and practical insights for smart city service adoption.
PEERJ COMPUTER SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Yuho Shimizu, Shin Osaki, Takaaki Hashimoto, Kaori Karasawa
Summary: Efforts to implement smart cities have been increasing globally. However, the social acceptance of smart cities, particularly regarding the collection and utilization of personal information, faces challenges such as concerns about data privacy and misuse. This study analyzed the factors influencing social acceptance in smart cities, with trust being the most significant factor. The findings contribute to practical implementations of smart cities and provide insights for future research directions.
Article
Psychology, Multidisciplinary
Kaifeng Liu, Da Tao
Summary: This study investigated the roles of trust and three AI-specific characteristics in public acceptance of smart healthcare services based on an extended Technology Acceptance Model, with results showing the importance of perceived usefulness, perceived ease of use, and AI-specific characteristics in shaping public acceptance. The study also demonstrated the critical roles of personalization, loss of privacy, and anthropomorphism in shaping public trust and acceptance of smart healthcare services, offering important theoretical and practical implications for the design and implementation of such services.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Fahimeh Hateftabar
Summary: This paper constructs an integrated model to examine the adoption of online tourism purchases and how it is influenced by individual perceptions of tourism value and personal innovativeness. The results show that effort expectancy, performance expectancy, and social influence significantly influence the online purchasing intentions of tourists, and these relationships vary due to different perception of tourism.
CURRENT ISSUES IN TOURISM
(2023)
Review
Energy & Fuels
Joy Billanes, Peter Enevoldsen
Summary: The paper provides an overview of the development of the Technology Acceptance Model (TAM) and identifies ten key factors influencing individual technology acceptance and adoption. This research aims to assist businesses and governments in developing more successful strategies and policies for technology adoption.
Article
Hospitality, Leisure, Sport & Tourism
Huijun Yang, Hanqun Song, Catherine Cheung, Jieqi Guan
Summary: This study investigates the impact of technology readiness and technology amenities on hotel consumers' intentions to visit smart hotels, finding that technology readiness affects intention to visit while technology amenities do not.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
(2021)
Article
Business
Hannah Danner, John Thogersen
Summary: Consumers sharing opinions online affects consumer judgment and decision-making, with topics like animal welfare and biodiversity in organic food playing a significant role in shaping consumer decisions and attitudes. The salience of topics discussed online can potentially influence consumer behavior towards sustainable consumption.
INTERNATIONAL JOURNAL OF CONSUMER STUDIES
(2022)
Article
Environmental Studies
Sascha Kuhn, Florian Kutzner, John Thogersen
Summary: This paper explores how to enhance the impact of energy efficiency labels in middle-income countries, finding that energy efficiency is valued more by those with higher environmental concern and knowledge. Additionally, appealing to immediate attitude functions and social-adjustive benefits can increase the effectiveness of energy efficiency labels, while appeals to delayed monetary savings may reduce their impact. These results suggest the need for contextually adapted campaigns to maximize the impact of energy efficiency labeling.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Business
Susanne Pedersen, Ting Zhang, Yanfeng Zhou, Jessica Aschemann-Witzel, John Thogersen
Summary: Imports are necessary to meet the diverse demand for organic food from consumers. In developed economies, consumers tend to prefer domestic products, while consumers in developing and emerging economies prefer imported products. A comparative study in China and Germany found that Chinese consumers have a slight bias towards domestic organic food, although smaller than in Germany, and they trust the organic standards of developed countries more. Chinese consumers prioritize food quality and safety concerns when choosing organic foods, while German consumers prefer domestic and geographically close imports due to environmental concerns. The results suggest that consumer trust in institutions in developed countries is a competitive advantage for producers in both domestic and global organic food markets.
JOURNAL OF MACROMARKETING
(2023)
Article
Environmental Sciences
Arild Vatn, Marianne Aasen, John Thogersen, Riley E. Dunlap, Dana R. Fisher, Ottar Hellevik, Paul Stern
Summary: Food choices play an important role in reducing greenhouse gas emissions. This study examines the factors influencing red meat consumption in Norway, with a focus on climate concerns. The results show that habits, beliefs about the qualities of red meat, and social norms supporting red meat consumption are the key factors explaining the variation in consumption.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Review
Engineering, Environmental
Lina Fogt Jacobsen, Susanne Pedersen, John Thogersen
Summary: This paper provides a systematic review of research on drivers and barriers of consumers' plastic packaging waste avoidance and recycling in economically developed countries. The study finds that environmental concern and task-specific benefits are the most important drivers, while lack of knowledge and understanding, as well as lack of opportunities, inconvenience, and task difficulty are the most important barriers.
Article
Green & Sustainable Science & Technology
Marianne Aasen, John Thogersen, Arild Vatn, Riley Dunlap, Dana Fisher, Ottar Hellevik, Paul Stern
Summary: This study examines how people's climate change concern and norms influence their leisure air travel by surveying a representative sample of Norwegians. The findings suggest that leisure air travel is habituated and part of a lifestyle supported by social norms, self-enhancement values, and urban residency. Although personal norms for reducing greenhouse gas emissions from flying are beginning to emerge, their effect on leisure air travel is small and only indirect. Interventions are needed to complement the emerging moralization process and support the development of new travel habits to substantially reduce emissions from leisure air travel.
JOURNAL OF SUSTAINABLE TOURISM
(2023)
Article
Behavioral Sciences
Louise Randers, John Thogersen
Summary: Excessive consumption of meat poses challenges to global food security and environmental sustainability. Identity theory suggests that individuals hold multiple identities at different levels of abstraction, and this study explores how these identities interact and potentially determine intentions and behavior related to meat consumption. The findings suggest that more abstract identities primarily influence intentions to consume meat indirectly, mediated by more behavior-specific identities. However, some higher-order identities also have a direct impact on meat consumption intentions, indicating a less hierarchical structure manifesting itself.
Article
Environmental Studies
Vanja Medugorac, Geertje Schuitema
Summary: Previous research has found that bottom-up governance approaches are more accepted by communities than top-down approaches, but the reasons for this remain unclear. This survey-based field study in an Irish community transitioning to renewable energy examined two scenarios: a top-down scenario proposed by the government and industry, and a bottom-up scenario proposed by local community members. The results showed that the bottom-up scenario was more acceptable, increased collective psychological ownership, and was perceived as more fitting to the community. Mediation analysis confirmed that these effects were mediated by collective psychological ownership and perceptions of place-technology fit. These findings suggest that bottom-up governance approaches strengthen community acceptance by enhancing collective psychological ownership and perceptions of place-technology fit.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Environmental Sciences
Marvin Helferich, John Thogersen, Magnus Bergquist
Summary: This study conducted a meta-analysis to examine the relationships between different norm constructs and pro-environmental behavior. The results showed that personal norms were consistently the strongest predictor of pro-environmental behavior, and that injunctive and descriptive norms influenced behavior through personal norms. Additionally, collectivism and behavioral cost did not moderate the predictive strength of social norms on pro-environmental behavior.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2023)
Article
Environmental Studies
Louise Randers, John Thogersen
Summary: The reciprocal relationship between a person's identity and behavior is not well-studied, particularly the process of identity formation. Our research suggests that changes in behavior first lead to attitude changes before eventually leading to the adoption of a new identity. This has important implications for promoting pro-environmental behaviors and reducing meat consumption.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2023)
Article
Environmental Studies
Aparajita Banerjee, Geertje Schuitema
Summary: As many countries aim to transition to a low-carbon society, energy production from fossil fuels is gradually being phased out. This transition has implications for people and communities, particularly those heavily reliant on the fossil fuel industry. In order to address the negative impacts of industry closures, it is argued that a just transition must include a spatial justice approach that considers the rehabilitation of workers, regions, and communities affected. By examining the closure of peat-based electricity production in rural Ireland, this paper demonstrates how a spatial justice approach can inform and address the practical challenges faced by local communities, as well as the deeper issues impacting the resiliency of fossil fuel-dependent regions.
ENVIRONMENT AND PLANNING C-POLITICS AND SPACE
(2023)
Review
Agricultural Economics & Policy
John Thogersen
Summary: Research on the importance of food origin to consumers, its influence on consumer choices, and their understanding and trust in it is fragmented and contradictory. This systematic review provides strong evidence that origin information significantly impacts consumers' food decisions. Consumers generally prefer domestic or local/regional products over imported ones, regardless of country or product. However, origin becomes less important when trade-offs need to be made or when other quality cues, such as organic or eco-labels, are present. The review also highlights a strong ethnocentric bias among consumers, as well as a knowledge deficit in understanding origin information.
Article
Environmental Studies
Sascha Kuhn, John Thogersen, Florian Kutzner
Summary: Defaults, or pre-selected options, have been found to strongly influence choices. This study shows that trust in the choice architect plays a role in default effects, but even when the choice architect is untrustworthy, the default effect remains robust.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2023)
Article
Environmental Studies
Isadora do Carmo Stangherlin, John Thogersen, Marcia Dutra de Barcellos
Summary: The transition to a circular economy requires consumers to take responsibility for acquiring and disposing of products. Recycling and buying circular products can reduce landfill waste and increase resource reuse. There is a mutual influence between consumers' emphasis on recycling and their inclination to buy circular products, and this behavioral influence is mediated through the strengthening of waste reduction goals.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2023)
Article
Business
Gabriele Torma, John Thogersen
Summary: The current sustainability labeling landscape is accused of causing confusion among consumers due to excessive, complex, similar, and ambiguous information. Meta-sustainability labeling is proposed as a solution and this study provides evidence on its added value based on a survey conducted in the USA and Germany. The study confirms the preference for sustainability-labeled products in both countries, with the new common label design outperforming traditional labeling in the USA. In Germany, both the common labeling design and the meta label improved the effectiveness of sustainability labeling for certain consumer segments.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
