Article
Thermodynamics
Seyed Reza Safavi, Colin Copeland, Taco Niet, Gordon McTaggart-Cowan
Summary: Considering the urgency of global warming, this study evaluates the feasibility of using a combined cooling, heat, and power system fueled with blends of hydrogen and natural gas for commercial applications in a maritime temperate climate. The system was optimized to minimize costs and greenhouse gas emissions, and compared to a conventional system using grid electrical supply and natural gas. The results show that the combined system can provide economic and emissions benefits, with potential cost savings of 5% and reduction in CO2 intensity of up to 12% when adding hydrogen to the fuel blend.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Yaohong Li, Ran Tian, Mingshan Wei
Summary: This paper proposes an interactive operation strategy based on the energy complementarity characteristics, which greatly improves the performance of the ICCHP system through the interaction between different loads. The study also analyzes the system performance and effect mechanisms of interactive operation between different users, showing that interactive CCHP systems with different loads achieve better performance than systems with the same loads.
Article
Chemistry, Multidisciplinary
Yanju Wei, Ruiheng Du, Yajie Zhang, Huzaifa Jamil, Zengqiang Zhu, Shenghua Liu
Summary: This study proposes a novel method based on the operation of an internal combustion engine to achieve a controllable heat/electricity ratio. The results show that this method allows for independent control of the heat and electricity ratio under different load conditions.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
B. Talebjedi, A. Behbahaninia
Summary: The efficient and correct design of an Energy Hub (EH) can improve energy conversion efficiency and profitability. Combining thermo-economic analysis with reliability and risk assessment has the potential to greatly enhance overall system performance, leading to reductions in system energy cost, demand penalty cost, operation cost, and total cost.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Thermodynamics
Farzad Pourfattah, Majid Sabzpooshani, Davood Toghraie, Amin Asadi
Summary: The study optimized heat transfer and fluid flow in a three-dimensional channel using a genetic algorithm and numerical simulation, incorporating MWCNT-water nanofluid and vertical twisted tapes for heat transfer enhancement. Experimental investigation was conducted under various design parameters to maximize heat transfer rate and minimize pressure loss, with promising results achieved under specific conditions.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Multidisciplinary Sciences
Yu Zhang, Yan Deng, Zimin Zheng, Yao Yao, Yicai Liu
Summary: This paper aims to enhance the overall performance of the CCHP-GSHP system by using a battery to propose a new operation strategy. The power generation unit has two modes, non-operation and rated efficiency operation, controlled by the storage electricity battery. Compared with the traditional CCHP-GSHP system without a battery, the new operation strategy yields better performance.
SCIENTIFIC REPORTS
(2023)
Article
Green & Sustainable Science & Technology
Shuozhuo Hu, Zhen Yang, Jian Li, Yuanyuan Duan
Summary: The coupling of integrated energy systems with waste-to-power can significantly improve overall performance and reduce emissions. It is more suitable for areas with higher electricity load or load close to heat/cold.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
John Carlo S. Garcia, Hiroki Tanaka, Niccolo Giannetti, Yuichi Sei, Kiyoshi Saito, Mamoru Houfuku, Ryoichi Takafuji
Summary: This paper investigates the multiobjective optimization of a flat-tubed microchannel heat exchanger to reduce its volume and fan power. By implementing a weight-based genetic algorithm and developing correlations for performance evaluations, significant reductions in volume and fan power were achieved by optimizing design variables.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Muhammed Musthafa, Indranil Ghosh
Summary: This paper presents a genetic algorithm based optimization method for spirally wound two-fluid stream exchangers, which can optimize weight, height, or thermo-hydraulic performances according to customer requirements. The study explores the effects of minimum weight or height and variation in pressure drop constraints on the optimized design.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Yongliang Shen, Yunqi Liu, Shuli Liu, Abdur Rehman Mazhar
Summary: The study proposed a method for optimizing the performance of cascaded latent heat storage systems. Results showed that the mass of PCM and the number of transfer units should not always be the same under different objective functions. Furthermore, the objective function based on charged exergy was found to be more effective than other criteria.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Muhammad Shahzad Nazir, Fahad M. Almasoudi, Ahmad N. Abdalla, Chang Zhu, Khaled Saleem S. Alatawi
Summary: In order to achieve the net-zero carbon target, the low carbon transition requires increased penetration of renewable generation in energy systems. Adequate flexible resources are essential to prevent curtailment of energy systems with high intermittent renewable output. This study focuses on the optimal dispatching model of a combined cooling, heating, and power microgrid with power-to-gas technology. The model demonstrates that power-to-gas improves the wind abandonment capacity of the microgrid and reduces environmental costs, resulting in economic benefits.
Article
Energy & Fuels
N. Ding, K. Prasad, T. T. Lie
Summary: This paper introduces a hybrid EMS system for PHEV, using a rule-based control strategy and genetic algorithm optimization technique to overcome battery limitations. Simulation studies have shown significant improvements in emissions control with the proposed system.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Hossein Akhlaghi Garmejani, Siamak Hossainpour
Summary: This study focuses on the optimization design of an automotive exhaust thermoelectric power generation system, analyzing the system performance through numerical algorithms and calculating key objective functions. It is found that multi-objective optimization methods can achieve good results in reducing investment while improving efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Jiyong Li, Yasai Wang, Yifei Zheng, Chengye Liu, Xiaoshuai Xu, Ran Chen
Summary: This paper proposes an optimal dispatching strategy for a park-level integrated energy system based on Stackelberg game, aiming to allocate benefits among stakeholders and improve renewable energy accommodation. It constructs the benefit and cost models for each stakeholder and establishes a master-slave game model. Additionally, a distributed algorithm is proposed by enhancing the performance of the standard coyote optimization algorithm.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2022)
Article
Thermodynamics
F. M. Melo, F. S. Magnani, M. Carvalho
Summary: This work presents a decision-making method based on a multi-objective optimization model that integrates renewable and nonrenewable energy equipment and considers environmental and financial combined gains. Parametric studies optimize the system for other energy tariffs, and an investment risk analysis provides additional information about the systems identified by the decision-making method and in the parametric studies. This high adaptability led to low investment risks.
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)