Article
Thermodynamics
Ramesh Kumar, Francisco J. Montero, Tauseef-ur Rehman, Ravita Lamba, Manish Vashishtha, Sushant Upadhyaya
Summary: This study explores radiative cooling and heat sink as passive methods for thermal regulation in photovoltaic systems. A comprehensive two-dimensional model is developed and analyzed, and four different system configurations are compared. The results show that the photovoltaic + heat sink + radiative cooling system is the most efficient.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Thermodynamics
Yue Wu, Zhiwu Huang, Heath Hofmann, Yongjie Liu, Jiahao Huang, Xiaosong Hu, Jun Peng, Ziyou Song
Summary: This paper proposes a hierarchical model predictive control framework for electric vehicles to optimize power demand and energy management, improving energy efficiency and driving safety.
Article
Thermodynamics
A. A. Kandil, Mohamed M. Awad, Gamal I. Sultan, Mohamed S. Salem
Summary: Using a beam-splitting system can enhance electricity generation by harnessing full-spectrum solar radiation. An experimental and theoretical study was conducted to evaluate the performance of two configurations: a standalone photovoltaic system and a photovoltaic/thermoelectric generator hybrid system with a beam-splitting configuration. The results show that the hybrid system significantly improves the power output compared to the standalone system.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Anna H. Schleifer, Caitlin A. Murphy, Wesley J. Cole, Paul Denholm
Summary: This study explores the evolution of the energy and capacity values of PV-plus-battery systems over time, finding that low-cost renewable energy technologies can increase the economic viability of these systems. The study also suggests that future system designs will focus on increasing battery power capacity to enhance energy value.
Article
Thermodynamics
Filip Grubisic Cabo, Ivo Marinic-Kragic, Tonko Garma, Sandro Nizetic
Summary: This study focused on the development of a thermo-electrical numerical model for freestanding photovoltaic panels exposed to the hot-spot effect. Through experimental validation in a Mediterranean climate, the comparison of results between measured and simulated values showed a good match.
Article
Energy & Fuels
Mustapha Habib, Elmar Bollin, Qian Wang
Summary: In recent years, photovoltaic (PV) with energy storage systems (ESS) have been widely adopted in buildings for meeting growing power demands and gaining financial benefits. However, the building automation system (BAS) has limited computing resources and cannot handle complex algorithms for real-time energy optimization. This article proposes an improved approach based on edge computing technology to upgrade the data analytics capability of BAS and implement an optimization-based EMS for the PV/ESS hybrid system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Analytical
Tareq Alnejaili, Sami Labdai, Larbi Chrifi-Alaoui
Summary: This paper introduces an energy management strategy for an off-grid hybrid energy system using LSTM-based forecasting to predict available PV and battery power. The proposed strategy significantly increases the efficiency of forecasting and reduces the energy deficit of the system.
Article
Chemistry, Physical
Nora Schopp, Viktor V. Brus, Jaewon Lee, Guillermo C. Bazan, Thuc-Quyen Nguyen
Summary: The study introduces a new method to quantify exciton photogeneration, geminate and non-geminate recombination losses, and determine the mobility-lifetime product as an integrated parameter for charge transport and non-geminate recombination in organic solar cells. By utilizing common experimental methods and optical transfer matrix simulations, the new method accurately predicts the optimal active layer thickness.
ADVANCED ENERGY MATERIALS
(2021)
Article
Construction & Building Technology
Mahmoud Ben Amara, Moncef Balghouthi
Summary: Standard building integrated photovoltaic systems are components of building envelopes that convert solar energy into electricity. However, their aesthetic appeal is limited. This research paper investigates the use of colored optical filters to improve the architectural acceptance of these systems.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Chemistry, Physical
Mingyun Luo, Xuemin Lin, Jinxin Feng, Ziye Ling, Zhengguo Zhang, Xiaoming Fang
Summary: Low temperature is a major issue for electric cars in high latitudes. A conductive phase change material (cPCM)-based self-preheating system is proposed to address this problem. The system utilizes the internal resistance of cells and the external resistance of the cPCM to generate heat simultaneously, achieving a high heating rate and temperature uniformity. The system can safely preheat the battery and significantly increase the effective electric energy. An energy conversion model is developed to optimize the preheating strategy and maximize the discharge energy.
JOURNAL OF POWER SOURCES
(2023)
Review
Construction & Building Technology
D. Mariano-Hernandez, L. Hernandez-Callejo, A. Zorita-Lamadrid, O. Duque-Perez, F. Santos Garcia
Summary: Building energy use is expected to grow by more than 40% in the next 20 years, emphasizing the need for strategies to improve energy efficiency in both residential and non-residential buildings. Building energy management systems play a crucial role in increasing energy efficiency, with different management strategies needed for different types of buildings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Computer Science, Information Systems
Ahmet Gundogdu
Summary: In this study, a new MPPT method called SI-based polynomial ARV was proposed for a PV system under uniform irradiance. By using a polynomial model, this method can effectively obtain the reference voltage and has shown high performance in simulation studies.
Article
Computer Science, Interdisciplinary Applications
Florian Fuhrmann, Alexander Schirrer, Martin Kozek
Summary: This paper presents a novel modular model predictive energy management system (EMS) specifically designed for industrial thermal batch processes. The EMS, consisting of a two-layer mixed-integer model predictive controller and an online load predictor, addresses the main challenges in industry regarding high implementation costs and potential reduction in production reliability. The modular formulation of the optimization problem allows for easy implementation of the EMS without the need for time-consuming modeling tasks and parameter tuning. The online load predictor estimates pulse-like heat loads in batch processes, ensuring reliable production and maximum flexibility in power demand. The utilization of real-time data enhances robustness against uncertainties caused by human operators. The performance of the EMS is evaluated through a case study of an existing food plant.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Thermodynamics
Yue Wang, Keqiang Li, Xiaohua Zeng, Bolin Gao, Jichao Hong
Summary: This paper proposes a method for constructing and predicting driving conditions based on energy consumption characteristics. It uses neural network and wavelet transform to process data under a connected vehicular-cloud environment, extracts characteristic parameters, and develops driving condition construction and prediction. Energy management based on this information can significantly improve energy economy.
Article
Thermodynamics
Qing Yuan, Yuyao Gao, Yiyang Luo, Yujie Chen, Bohong Wang, Jinjia Wei, Bo Yu
Summary: In this study, a general operation optimization model with the optimal goal of minimum energy cost is established for a heated oil pipeline system considering mixed discrete-continuous decision variables and complex constraint conditions. An intelligent optimization method combining the hybrid binary-real-coded genetic algorithm (BRCGA) and the penalty method coupled with the simulation of a heated oil pipeline system is proposed to solve the optimization model. The optimization model and solution method are applied to the operation optimization of a complex actual heated oil pipeline system, and an optimal operation scheme is intelligently determined, resulting in a significant saving of 18.7% in energy cost.