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
Green & Sustainable Science & Technology
Sami Ben Slama
Summary: This study proposes a method that combines home energy management systems and vehicle-to-home technology to control household energy demand by scheduling household appliances. The results demonstrate that this technology can effectively reduce energy demand under solar-load volatility.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Xuebo Liu, Yingying Wu, Hongyu Wu
Summary: This study proposed a new residential energy management system that integrates residential PV and EVs by considering occupants' behaviors and concerns to reduce energy costs while maintaining comfort.
Article
Energy & Fuels
Arshad Mohammad, Mohd Zuhaib, Imtiaz Ashraf
Summary: This research proposes a home energy management system that integrates renewable energy sources, energy storage system, and electric vehicle to optimize residential electrical consumption. The results demonstrate significant reductions in electricity costs and peak to average ratio, along with additional economic benefits.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: On-board batteries from electric vehicles can be used as an auxiliary source of energy in domestic installations. Home Energy Management systems are crucial in future smart grids to efficiently use energy in residential applications. However, managing uncertainties caused by intermittent renewable generation, uncertain prices, and behaviors of electric vehicles requires further research. This paper proposes a fully robust Home Energy Management model that accounts for all uncertainties and validates its effectiveness through a case study.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Musik Park, Zhiyuan Wang, Lanyu Li, Xiaonan Wang
Summary: With increasing concerns over carbon dioxide emissions, the concept of Zero Energy Building (ZEB) and Electric Vehicles (EVs) have emerged to address environmental issues. This paper develops a new framework to find the optimal energy system design that meets EV charging demand and ZEB requirements, using machine learning models to predict charging demand and Genetic Algorithm and PROBID method to optimize costs and self-sufficiency ratio. The study finds that EV charging demand significantly affects energy system design, especially in small-size buildings.
Article
Thermodynamics
David Borge-Diez, Daniel Icaza, Emin Acikkalp, Hortensia Amaris
Summary: The research presents a novel combined use of V2H and V2B, where energy is charged at night in workers' homes and delivered to buildings during the day, reducing peak demand, decreasing carbon intensity, and saving energy costs. This innovative approach greatly contributes to improving energy efficiency, reducing peak demand in buildings, and increasing the penetration of electric vehicles in commuting.
Article
Chemistry, Analytical
Ohoud Almughram, Sami Ben Slama, Bassam Zafar
Summary: This article investigates the integration of V2H centralized photovoltaic systems and proposes an HCPV scheduling algorithm to improve energy sustainability in smart homes. A multi-agent system ensures proper system operation and meets the power requirements of various devices. Experimental results demonstrate the potential benefits of V2H technology as a unit storage solution.
Article
Chemistry, Analytical
Min Wang, Modawy Adam Ali Abdalla
Summary: This study proposes an optimal energy management solution for smart homes based on the Jaya algorithm, aiming to reduce electricity costs while meeting household load demand and energy requirements for electric vehicle travel. The simulation results demonstrate significant cost savings by optimizing energy scheduling.
Article
Construction & Building Technology
Truong Hoang Bao Huy, Huy Truong Dinh, Daehee Kim
Summary: Recent innovations in smart grid technology have increased the utilization of advanced techniques and control methods, allowing consumers to purchase and sell electricity more flexibly. To support residential consumers in consuming energy efficiently, achieving high satisfaction levels, and meeting grid specifications, a comprehensive home energy management system (HEMS) is urgently needed. Existing studies have suggested simple HEMS models with limited objectives, but we propose a multi-objective HEMS model that fully utilizes different capabilities and optimizes energy cost, peak-to-average ratio (PAR), and discomfort index (DI).
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Junyan Ma, Roza Poursoleiman
Summary: The home energy management system plays a critical role in managing energy consumption and costs. This study introduces a smart renewable-based system that participates in the demand response program and examines its operations in grid-connected and islanded modes. The use of optimization algorithms helps reduce energy costs.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
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
Thermodynamics
Hasan Mehrjerdi
Summary: This paper explores battery swapping and energy resilience in a building integrated with electric vehicles, reserve batteries, and solar energy. By coordinating the EV and reserve battery for battery swapping, the building is able to operate under both off-grid and grid-tied states, improving energy resilience.
Article
Green & Sustainable Science & Technology
Modawy Adam Ali Abdalla, Wang Min, Gehad Abdullah Amran, Amerah Alabrah, Omer Abbaker Ahmed Mohammed, Hussain Alsalman, Bassiouny Saleh
Summary: This study proposes an energy utilization optimization strategy for charging electric vehicles in a smart home. The strategy utilizes a vehicle-to-home system and household energy storage system to improve energy utilization and reduce electricity bills. Different scenarios are examined to investigate the role of these technologies in reducing costs and smoothing the load curve.
Article
Energy & Fuels
Mohd Syahmi Hashim, Jia Ying Yong, Vigna K. Ramachandaramurthy, Kang Miao Tan, Muhamad Mansor, Mohd Tariq
Summary: This study presents a new method to minimize grid load variance by optimizing the scheduling of electric vehicles to the power grid, which can operate in three different modes to enhance power system reliability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Shintaro Negishi, Takashi Ikegami
Summary: This paper proposes a robust scheduling method for pumping water in a water distribution system, aiming to provide regulation reserves under uncertainty. The method optimizes power system operation by integrating factors such as electric energy prices, regulation reserves, hourly water demand, water flow quantity, and electricity consumption of water pumps. Simulation results show a decrease in operational costs when water pumps provide regulation reserves, highlighting the feasibility of this approach.
Article
Thermodynamics
Shuhei Yamano, Takashi Nakaya, Takashi Ikegami, Masayuki Nakayama, Atsushi Akisawa
Summary: This study aims to model the optimal operation and maintenance plan of CCHP combining High-speed type and Medium-speed type gas engines, considering the effectiveness of actual maintenance schedule from an economic perspective. Results show that the proposed methodology decreases annual operation costs and optimizes maintenance work quantity by controlling engine operation hours through detailed maintenance optimization. Combining two types of engines is better than using one type, indicating the effectiveness of the proposed methodology in deriving the optimal configuration of CCHP.
Article
Energy & Fuels
Chiyori T. Urabe, Tetsuo Saitou, Kazuto Kataoka, Takashi Ikegami, Kazuhiko Ogimoto
Summary: This study investigated short-term fluctuations, long-term fluctuations, and their relationships in wind power output in different regions of Japan. The results showed a correlation between short-term fluctuations and long-term fluctuations, which is influenced by wind power capacity in the region. This finding suggests that power system flexibility can be estimated based on wind power predictions, which could potentially facilitate the design of the balancing market in Japan.
Article
Engineering, Mechanical
Akane Uemichi, Kan Mitani, Yudai Yamasaki, Shigehiko Kaneko
Summary: This study investigated the method to reproduce the change of oscillating frequency due to the difference of fuel. The transfer matric method that incorporates a linear temperature gradient was employed to model flame dynamics. Four methods for axial representative temperatures were proposed and the Nyquist plot method was used to calculate resonant frequency and growth rate.
JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Electrical & Electronic
Shintaro Negishi, Keisuke Kimura, Ikumi Suzuki, Takashi Ikegami
Summary: In this paper, a new model of electric power supply-demand analysis based on a clustered unit commitment (CUC) model is proposed. This method enables the derivation of daily generation plans in multiple areas by minimizing daily generation cost. The proposed model is formulated using Mixed Integer Linear Programming (MILP). A numerical experiment on annual supply-demand analysis was conducted to evaluate the feasibility of the proposed model. The results demonstrate the feasibility of the proposed model in terms of calculation time and operational outcomes.
ELECTRICAL ENGINEERING IN JAPAN
(2022)
Article
Thermodynamics
Kento Sasaki, Hirohisa Aki, Takashi Ikegami
Summary: This study proposed a scheme using time-of-use electricity rates as an incentive to encourage residential prosumers to provide more flexibility by controlling distributed energy resources. Numerical simulations showed that the developed model could integrate prediction errors and provide flexibility to the grid, while also evaluating the economies of the aggregator and prosumers.
Article
Energy & Fuels
Akane Uemichi, Ryo Oikawa, Yudai Yamasaki, Shigehiko Kaneko
Summary: This study examines the impact of private generators in hospital buildings on supply-demand balance and power quality during disaster conditions. It found that the fluctuation of photovoltaic panel output can be suppressed by increasing the moving average time and reducing the feedback gain of storage batteries.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Energy & Fuels
Akane Uemichi, Naoki Kaito, Yudai Yamasaki, Shigehiko Kaneko
Summary: A new optimization method that considers the balance of power supply and demand in the stand-alone operation of on-site generators during power outages was proposed and applied in case studies. The results showed that equipment configurations considering supply-demand balance effectively improved the expected power shortage rate.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2023)
Article
Engineering, Mechanical
Yusuke Kawai, Akane Uemichi
Summary: In this study, a lumped model was developed to consider the frictional heat produced by the rapid rotation of the shaft in turbocharger bearings, aiming at efficient automotive energy management.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Computer Science, Information Systems
Chiyori T. Urabe, Takashi Ikegami, Kazuhiko Ogimoto
Summary: This paper focuses on the short-term fluctuations (STFs) in wind power total outputs in several balancing areas (BAs) in Japan. Five methods are proposed to mitigate STFs without the need for additional systems or equipment, and without requiring predictions of the wind power output. One of the proposed methods effectively mitigated STFs in the total wind power output.
Proceedings Paper
Acoustics
Akane Uemichi, Yifan Lyu, Jin Kusaka, Shigehiko Kaneko
Summary: Experimental and modeling analysis successfully predicted the combustion oscillation frequency under the 100% natural gas condition, but failed to accurately predict the frequency under the hydrogen-natural gas condition.
PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 1
(2021)
Article
Energy & Fuels
Ryo Abe, Daisuke Tomofuji, Takashi Ikegami, Atsushi Akisawa
Summary: This study aims to evaluate the impact of distributed energy resources responding to Demand Response (DR) in reducing PV curtailment and increasing energy efficiency. The results indicate that DR has the potential to utilize over 40% of estimated PV curtailment in both Kyushu and Tohoku electric power tube areas.
JOURNAL OF THE JAPAN INSTITUTE OF ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
