Article
Energy & Fuels
Lili Cheng, Dingxuan Zhao, Tianyu Li, Yao Wang
Summary: This paper investigates the utilization of energy for electric forklifts and proposes a battery-supercapacitor hybrid energy management method. By analyzing the working conditions and energy flow of forklifts, a power demand forecasting model for electric forklift power systems is developed. Predictive control methods based on Markov chain and neural network are used to optimize the energy management. Simulation results show that this method effectively stabilizes the charge and discharge rate of the battery.
Article
Engineering, Electrical & Electronic
George K. Farinis, Fotios D. Kanellos
Summary: This paper proposes an energy management system for microgrids of building prosumers based on a hierarchical multi-agent system (MAS) and solved with particle swarm optimization (PSO). The system aims to minimize operation cost and ensure optimal scheduling for grid-connected and autonomous operation while meeting various technical constraints effectively.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Construction & Building Technology
Daniel Fernando Espejel-Blanco, Jose Antonio Hoyo-Montano, Jaime Arau, Guillermo Valencia-Palomo, Abel Garcia-Barrientos, Hector Ricardo Hernandez-De-Leon, Jorge Luis Camas-Anzueto
Summary: This paper introduces a design approach to control the HVAC system of a building using a Raspberry Pi as a coordinator node and wireless connection with sensor nodes. The proposed PMV-based temperature control system achieves energy savings ranging from 33% to 44%.
Article
Construction & Building Technology
Yangze Zhou, Xiangning Tian, Chaobo Zhang, Yang Zhao, Tingting Li
Summary: This paper proposes an elastic weight consolidation-based sliding window fine-tuning method for dynamic building energy load prediction. The method achieves high accuracy, low computational costs, and low data storage costs. Experimental results demonstrate significant reduction in mean absolute error and better stability compared to other methods.
ENERGY AND BUILDINGS
(2022)
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
Environmental Sciences
Qingbo Tan, Xiangguang Li, Wei Fan, Huaqing Wang, Jiacheng Yang
Summary: The key to dual carbon lies in low-carbon energy systems. The energy internet can coordinate upstream and downstream source network load storage to break energy system barriers and promote carbon reduction in energy production and consumption processes. This article introduces the basic concepts and key technologies of the energy internet and proposes creating a coordinated and complementary source network load storage energy internet to construct a new type of power system with six new characteristics. It also analyzes the value creation and business type innovation of the energy internet and looks ahead to the future direction of energy internet construction.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Zhanwei He, Javad Khazaei, James D. Freihaut
Summary: The emergence of vehicle-to-building (V2B) technology allows electricity to be exported from electric vehicle (EV) batteries to buildings, aiding in meeting building energy demands. The optimal number of EVs interacting with a building depends on factors such as EV driving patterns, seasonal solar output, building demand profiles, and grid electricity prices. These factors impact the daily electricity bills, V2B capacity, charging loads, and stationary battery energy storage system (BESS) capacity. Simulation results show that the optimal number of EVs varies across seasons and solar irradiance scenarios, suggesting the importance of day-ahead solar energy forecasting for planning EV integration.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Thermodynamics
Zhiwen Ma, Xingchao Wang, Patrick Davenport, Jeffrey Gifford, Korey Cook, Janna Martinek, Jason Schirck, Aaron Morris, Matthew Lambert, Ruichong Zhang
Summary: Energy storage is crucial for maintaining reliable power supply and improving grid resilience. Long-duration energy storage can replace coal power generation and increase renewable power supply. A novel thermal energy storage system using solid particles as storage media has been developed, with low storage cost and high thermal efficiency. Key components have been designed and modeled, and laboratory-scale prototypes have been fabricated and tested.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Zuxun Xiong, Xinwei Shen, Qiuwei Wu, Qinglai Guo, Hongbin Sun
Summary: This paper proposes a stochastic planning method for the low-carbon building integrated energy system (IES), which takes into account the Vehicle to Grid (V2G) technology to increase the flexibility of low-carbon buildings. The proposed method optimizes the investment, operation costs, and CO2 emissions of the building IES to achieve maximum benefits and carbon neutrality.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Chemistry, Analytical
Liu Fei, Muhammad Shahzad, Fazal Abbas, Hafiz Abdul Muqeet, Muhammad Majid Hussain, Li Bin
Summary: This paper investigates the impact of dynamic demand response on operational cost in the energy management of large-scale buildings. By integrating renewable energy resources and storage and using strategies such as real-time pricing, critical peak pricing, and time of use, the operational cost and greenhouse gas emissions are effectively reduced.
Article
Construction & Building Technology
Muhammad Uzair, Syed Ali Abbas Kazmi
Summary: This research investigates the application of multi-criteria decision making techniques in optimizing energy management in buildings. By deploying sensor systems, solar power usage can be controlled in real-time for maximum efficiency and effectiveness. The study also develops a decision-making framework to assist consumers in identifying optimal combinations of energy efficiency, cost-saving, and Indoor Environmental Quality improvement strategies for buildings in Pakistan.
ENERGY AND BUILDINGS
(2023)
Review
Green & Sustainable Science & Technology
F. Naseri, S. Karimi, E. Farjah, E. Schaltz
Summary: Recent advances in energy storage systems have accelerated the development of electric vehicles and renewable energy systems. Supercapacitors have gained interest due to their unique features, but managing hundreds of high-capacity cells poses challenges in terms of uniformity and durability. This paper provides an overview of Supercapacitor Management Systems (SMSs) and their key requirements, filling the gaps in the existing international standards. The survey covers modeling, estimation, control, and protection aspects of supercapacitors, and also reviews their vehicular applications.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Green & Sustainable Science & Technology
Chun Sing Lai, Giorgio Locatelli, Andrew Pimm, Xiaomei Wu, Loi Lei Lai
Summary: Driven by the demand for intermittent power generation, Energy Storage (ES) will be widely adopted in future electricity grids to provide flexibility and resilience. However, existing models are inadequate to address grids with a high percentage of renewables and ES, and there is a challenge in integrating short-term temporal changes in LEPSMs due to model complexity and computational cost. Therefore, there is a need for a novel long-term electrical power system modeling framework that can effectively incorporate ES and low-carbon power generation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Asmae Berrada
Summary: This study models and assesses the financial performance of a novel energy storage system called gravity energy storage (GES), and compares it with other large-scale energy storage systems. The results show that GES has good performance metrics and is cost-effective compared to its competitors in terms of energy cost.
Article
Engineering, Chemical
Andrea Mangel Raventos, Gerard Kluivers, J. W. Haverkort, Wiebren de Jong, Fokko M. Mulder, Ruud Kortlever
Summary: The developed battolyser system can meet different time scale energy requirements, and the model shows that the properties of individual components have a significant impact on overall energy efficiency. Based on the model results, the electrode thickness and porosity of the nickel-iron battery prototype were optimized, while the electrolyte conductivity and gap thickness had minimal effect on efficiency.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)