Article
Energy & Fuels
Laszlo Zsolt Gergely, Tamas Csoknyai, Miklos Horvath
Summary: Integration of renewable energy sources is crucial for climate goals. This study introduces two new indicators, self-production and grid-liability, for sizing domestic photovoltaic plants. Simulations show that the optimal capacities from the perspective of self-production and grid-liability are much lower than the capacity needed to meet the household's electricity demands.
Article
Economics
M. Amine Masmoudi, Leandro C. Coelho, Emrah Demir
Summary: This paper investigates the problem of designing refuse vehicle routes for commercial waste collection and proposes a Hybrid Threshold Acceptance algorithm to solve the problem. Extensive computational experiments confirm the good performance of the proposed algorithm and demonstrate the benefits of using hybrid electric refuse vehicles in terms of operational costs and total distance traveled.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Environmental Studies
Polina Alexeenko, Eilyan Bitar
Summary: We conducted a real-world pilot study to investigate a new pricing and control mechanism for coordinating residential EV charging loads. The mechanism offers EV owners a range of pricing options based on their willingness to delay their charging completion times. By optimizing the real-time power drawn by EVs, a smart charging system minimizes strain on the grid while ensuring all EVs are charged by user-requested deadlines. Our findings show that, on average, customers were willing to delay their charging by over eight hours, allowing the smart charging system to flatten the aggregate load curve and eliminate demand spikes. Importantly, customer participation rates remained stable throughout the study, indicating the viability of this mechanism as a non-wires alternative to meet the increasing electricity demand from EVs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Shelly Clemente, Solene Beauchene, Elyes Nefzaoui
Summary: This paper presents a method for generating aggregated electric load profiles for plug loads in office buildings based on field-measured load profiles of individual appliances and a field survey covering office building occupants. The results show that the aggregated load curves scale up differently depending on the considered appliances, providing unique insights on plug load aggregated load profile shapes.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Umar Hanif Ramadhani, Reza Fachrizal, Mahmoud Shepero, Joakim Munkhammar, Joakim Widen
Summary: Several studies have proposed electric vehicle smart charging schemes to improve temporal matching between photovoltaic generation and electric vehicle charging, with a focus on minimizing net-load variance. Probabilistic methods are more suitable for grid impact analyses of smart charging schemes, with concentrated allocation having more severe impacts at lower penetration levels. This study highlights the potential benefits of smart charging schemes in improving distribution system performance and increasing correlations between network nodes.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Construction & Building Technology
Zhenyu Yu, Fei Lu, Yu Zou, Xudong Yang
Summary: This paper focuses on the flexibility assessment and optimal dispatch of commuter PEVs within a microgrid system. A virtual microgrid system was established including residential buildings, an office, distributed generation, and commuter PEVs, and a generic framework was proposed to quantify the flexibility potential of PEVs along with several indicators to identify the flexibility characteristics. A mixed-integer linear programming model was developed to schedule the charging and discharging processes of PEVs and calculate the flexibility indicators.
ENERGY AND BUILDINGS
(2022)
Article
Green & Sustainable Science & Technology
H. Martin, R. Buffat, D. Bucher, J. Hamper, M. Raubal
Summary: Switzerland is making rapid progress in decarbonizing the transport and energy sectors through the introduction of battery electric vehicles (BEV) and the expansion of rooftop photovoltaic (PV) power generation. An empirical analysis of the charging and mobility behavior of 78 BEV users in Switzerland reveals that controlled charging strategies greatly increase the utilization of PV generation, thereby reducing the climate impact of BEVs.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Electrical & Electronic
Zhijian Hu, Shichao Liu, Ligang Wu
Summary: The article discusses the importance of accurately and economically acquiring frequency signals of plug-in electric vehicles, proposing a credibility-based distributed frequency estimation scheme and designing a distributed load frequency control strategy to effectively detect and isolate compromised PEVs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Environmental Sciences
Patrick Ploetz, Cornelius Moll, Georg Bieker, Peter Mock
Summary: The study shows that the real-world average CO2 emissions of PHEVs vary depending on factors such as all-electric range, user group, and country. For private vehicles, the real-world CO2 emissions are significantly higher than test cycle values, mainly due to low charging frequency.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Energy & Fuels
Ahmet Mandev, Patrick Plotz, Frances Sprei, Gil Tal
Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.
Article
Energy & Fuels
Yitong Shang, Man Liu, Ziyun Shao, Linni Jian
Summary: The paper proposes a centralized V2G scheme with distributed computing capability using internet of smart charging points (ISCP). The scheme is successfully verified under the distribution grid of the SUSTech campus, achieving load peak-shaving and valley-filling effects.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Operations Research & Management Science
Sina Rastani, Bulent Catay
Summary: Range anxiety is a major barrier to the adoption of electric vehicles in logistics operations. The weight of the load carried plays a crucial role in the operational efficiency and routing decisions of electric vehicles.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
S. Gupta, A. Maulik, D. Das, A. Singh
Summary: This study focuses on the optimal coordinated operation of a grid-connected AC microgrid consisting of controllable and uncontrollable power sources, battery storage units, considering plug-in hybrid electric vehicles and demand response programs. Through a nested stochastic optimization algorithm, a coordinated optimal operating strategy is proposed, which effectively reduces operating costs and system losses.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Francesco Nicoletti, Mario Antonio Cucumo, Natale Arcuri
Summary: This study investigates the combination of heat pumps with photovoltaic systems and batteries for sustainable heating/cooling. Through energy simulations and parametric analysis, an optimal solution is obtained, and it is found that the size of the PV plant is independent of solar source availability, but strongly depends on building thermal demands.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Hassan Shojaeefard, Morteza Mollajafari, Nima Edalat Pishe, Seyyed Mohsen Mousavi
Summary: This study evaluates the cooling system of a fuel cell vehicle under various operating conditions and investigates the impact of changing the control system on vehicle performance and cooling efficiency. The optimization results show that increasing the battery capacity extends the range of the vehicle and reduces energy consumption.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
