Article
Environmental Studies
Sagit Dominitz, Avi Parush, Daniel Metcalfe
Summary: This research investigates a design intervention through a prototype of a digital interactive electricity bill to reduce domestic electricity consumption. The study finds that the innovative bill is more understandable and useful compared to traditional bills, which can enhance users' empowerment, sense of control, curiosity, and energy literacy. The research provides a direction for further studying the connection between design and smarter energy consumption.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Ch. Sravan, Prajna Paramita Mishra
Summary: In the era of globalization, electricity plays a vital role in achieving high economic growth. Renewable electricity, due to its sustainability, serves as a driving force for environmentally friendly economic growth compared to other forms of electricity. However, in countries with insufficient domestic electricity production, importing electricity becomes crucial to meet the increasing demand. This study explores the causal relationships between renewable electricity production, electricity imports, and electricity consumption in India. Using a Vector Error Correction model and Wald-Granger causality test, analysis reveals that greenhouse gas emissions and natural resource rents positively influence renewable electricity production. Increasing electricity consumption leads to higher electricity imports, but does not significantly impact renewable production. The results call for a focus on developing renewable electricity production systems from both producers and consumers to combat rising emission levels. Minimizing imports is recommended to maintain electricity self-sufficiency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Economics
Jason Harold, Valentin Bertsch, Harrison Fell
Summary: The study suggests that there is potential for flexibility from curtailable electricity contracts. Consumers are generally indifferent to curtailable contracts compared to their current contracts. The type of household appliance in these contracts has the most influence on preferences, with contracts at low event frequencies that include advance notice and an opt out being most preferred.
Article
Construction & Building Technology
Diana Bogin, Meidad Kissinger, Evyatar Erell
Summary: This study compares two clustering approaches in segmenting population by lifestyle, finding that household characteristics method is more effective than electricity use behavior method in classifying households into sub-groups of similar size with significantly distinct annual electricity consumption.
ENERGY AND BUILDINGS
(2021)
Article
Ecology
Elke D. Groh, Andreas Ziegler
Summary: This paper empirically examines the relevance of multiple explanatory factors for electricity consumption based on data from over 3700 citizens in Germany. The study finds that individual housing and dwelling characteristics as well as socio-demographics have a significant impact on electricity consumption.
ECOLOGICAL ECONOMICS
(2022)
Article
Chemistry, Multidisciplinary
Blanca Nydia Perez-Camacho, Gustavo Rodriguez Gomez, Juan Manuel Gonzalez-Calleros, Francisco J. Martinez-Lopez
Summary: This research proposes a methodology that uses mathematical modeling and simulator development to optimize residential electrical consumption in the context of IoT. It addresses the oversight of citizen awareness and behavior change regarding electricity consumption in existing systems.
APPLIED SCIENCES-BASEL
(2022)
Article
Food Science & Technology
P. J. Alanis, G. C. Miranda-de la Lama, M. A. Mariezcurrena-Berasain, A. Barbabosa-Pliego, A. A. Rayas-Amor, L. X. Estevez-Moreno
Summary: The study found that Mexican consumers have unique perceptions of sheep meat, considering it to come from healthy animals with traditional qualities, and they are willing to pay extra for safe and additive-free products.
Article
Social Issues
Stefan Hoffmann, Wassili Lasarov, Hanna Reimers
Summary: To combat climate change, consumers should reduce their carbon emissions. Apps that track and report individual consumption can help consumers control and decrease their carbon footprint. This study finds that expected hedonic, social, and utilitarian benefits drive consumers' intention to adopt carbon footprint tracking apps. However, the impact of utilitarian benefits is influenced by consumers' perception of transaction costs, such as ease of use and willingness to share private data.
TECHNOLOGY IN SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Kaifang Luo, Yueming (Lucy) Qiu, Bo Xing
Summary: This study examines the electricity consumption behavior of commercial consumers and finds that they respond to both marginal and average prices, with higher-usage consumers more responsive to average prices and lower-usage consumers more sensitive to marginal prices. The study also highlights the importance of tailoring energy conservation policies based on the characteristics of commercial electricity consumers and industry sectors.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Anne Immonen, Maria Kopsakangas-Savolainen
Summary: This paper examines the consumption behavior and intention of Finnish electricity consumers to support carbon neutrality. The study finds that consumers have low awareness of their consumption behavior, but there is a clear intention to support the environment and save energy. However, consumers are not aware of the available data and existing services that could help improve their energy efficiency. Therefore, more motivation and communication are needed to affect electricity consumption behavior.
Article
Business
Jimmy Wong, Ashok K. Lalwani, Jessie J. Wang
Summary: This article explores how consumers' psychological power and self-construal impact their preference for logo size. Through six studies, it is found that low-power consumers prefer larger logos when an independent self-construal is salient due to a greater tendency for self-deceptive enhancement. On the other hand, low-power consumers prefer smaller logos when an interdependent self-construal is salient due to a greater tendency for impression management.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Food Science & Technology
Ruby Saine, Miao Zhao
Summary: Loneliness, whether from social deprivation or lack of emotional attachment, has been shown to lead to unhealthy food consumption and obesity. Different types of loneliness have asymmetrical effects on individuals' food attitudes and actual consumption, mediated by self-regulation. This research has significant implications for public health, consumer well-being, and social campaigns.
FOOD QUALITY AND PREFERENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Ruochen Chen, Caiyun Jiang, Xingzheng Li, Xuefeng Shi, Longyu Zhuang, Wenbin Zhou, Chen Zhou, Lin Xuan, Guiyun Xu, Jiangxia Zheng
Summary: This study investigated the characteristics of egg consumption and the production of functional eggs in China. It found that pink eggs were the most popular and most consumers preferred eggs weighing 48-58 grams. Functional eggs had low awareness among Chinese consumers. Based on the survey results, the researchers produced small, pink functional eggs that met the preferences of Chinese consumers through a specific diet.
Article
Food Science & Technology
Silvia Lourenco, Susana Mendes, Andreia Raposo, Pedro M. Santos, Ana S. Gomes, Rui Ganhao, Jose L. Costa, Maria M. Gil, Ana Pombo
Summary: Sea urchin roe is a globally appreciated delicacy, with Portugal being the third largest consumer nation, but it is not widely recognized as a seafood by coastal communities in the country. A survey conducted among participants of gastronomic festivals revealed that many consumers are willing to eat sea urchin roe in restaurants, but about half of them are not motivated to buy it in supermarkets.
INTERNATIONAL JOURNAL OF GASTRONOMY AND FOOD SCIENCE
(2021)
Article
Environmental Studies
Do-Hyeon Ryu, Kwang-Jae Kim
Summary: As electricity consumption in residential buildings has increased, AMIs have been widely installed and used for developing services and policies. This research finds a difference between actual and perceived electricity consumption and identifies household characteristics that influence this difference.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Review
Computer Science, Information Systems
Qie Sun, Hailong Li, Zhanyu Ma, Chao Wang, Javier Campillo, Qi Zhang, Fredrik Wallin, Jun Guo
IEEE INTERNET OF THINGS JOURNAL
(2016)
Article
Energy & Fuels
Muhammad Naqvi, Erik Dahlquist, Jinyue Yan
Article
Thermodynamics
Lana Vassileva, Javier Campillo
Article
Thermodynamics
Oscar Pupo-Roncallo, Javier Campillo, Derek Ingham, Kevin Hughes, Mohammed Pourkashanian
Article
Green & Sustainable Science & Technology
Juan A. Dominguez-Jimenez, Javier E. Campillo, Oscar Danilo Montoya, Enrique Delahoz, Jesus C. Hernandez
Proceedings Paper
Computer Science, Theory & Methods
Oscar Montoya, Walter Gil-Gonzalez, Federico Serra, Juan Dominguez, Javier Campillo, J. C. Hernandez
PROCEEDINGS OF THE XXII 2020 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2020), VOL 4
(2020)
Proceedings Paper
Computer Science, Theory & Methods
J. A. Dominguez-Jimenez, O. D. Montoya, J. Campillo, W. Gil-Gonzalez
PROCEEDINGS OF THE XXII 2020 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2020), VOL 4
(2020)
Proceedings Paper
Engineering, Industrial
J. A. Dominguez, A. W. Dante, K. Agbossou, N. Henao, J. Campillo, A. Cardenas, S. Kelouwani
2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
(2020)
Article
Multidisciplinary Sciences
Oscar Pupo-Roncallo, Javier Campillo, Derek Ingham, Kevin Hughes, Mohammed Pourkashanian
Proceedings Paper
Computer Science, Interdisciplinary Applications
Luis Alejandro Rojas, Oscar Danilo Montoya, Javier Campillo
APPLIED COMPUTER SCIENCES IN ENGINEERING (WEA 2019)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Oscar Danilo Montoya, Luis Fernando Grisales-Norena, William Tadeo Amin, Luis Alejandro Rojas, Javier Campillo
APPLIED COMPUTER SCIENCES IN ENGINEERING (WEA 2019)
(2019)
Proceedings Paper
Energy & Fuels
O. D. Montoya, J. E. Campillo, W. Gil-Gonzalez, A. Garces
2018 IEEE 9TH POWER, INSTRUMENTATION AND MEASUREMENT MEETING (EPIM)
(2018)
Review
Instruments & Instrumentation
Jan Skvaril, Konstantinos G. Kyprianidis, Erik Dahlquist
APPLIED SPECTROSCOPY REVIEWS
(2017)
Article
Energy & Fuels
Iana Vassileva, Javier Campillo, Sebastian Schwede
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.
