Editorial: Advancements and future directions in process design for sustainable energy systems

Abstract

The process design and optimization play a critical role in the development and implementation of sustainable energy systems. It entails the systematic identification, optimization, and integration of various components, technologies, and processes to achieve efficient and environmentally friendly energy production and utilization. The primary objective of process design for sustainable energy systems is to minimize resource consumption, reduce emissions, and maximize overall system performance.The specific objectives can be summerised as follows: Presenting research outcomes from multidisciplinary fields, especially through optimizing the process for Sustainable Energy Systems. Updating the current state of research in the field based on the special research topic. Summarizing the findings from the papers reviewed. Identifying the future directions for new development.Key Words: Optimisation, energy efficiency, MATLAB, energy management, Renewable Energy SystemsIn the framework of this special research topic, we have received six full papers. All these passed a peer review. However, two of these papers were deemed unsuitable for publication within the context of this research topic.The four accepted papers that were received underwent peer review and successfully passed the evaluation process. These papers include: In this reserch work, the authors investigated the influence of the energy management strategy (EMS) on the energy efficiency and environmental sustainability of fuel-cell hybrid electric vehicles (FCHEVs). The proposed EMS introduces an integration between the equivalent consumption minimization strategy (ECMS) and the Artificial Hummingbird Algorithm (AHA). The findings demonstrate that the proposed EMS surpasses other optimizers in reducing fuel consumption, potentially achieving a 48.62% reduction, while also enhancing overall system efficiency by 15.45%.In this review, the authors analyze the energy demands and increasing environmental concerns within educational institutions. This comprehensive review summarizes the complex relationship between Energy Efficiency and Renewable Energy Systems (EERES) within the sphere of educational institutions. A notable aspect of this research is the innovative correlation drawn between energy consumption metrics and the comfort levels experienced in university environments throughout both summer and winter seasons.Beyond technical intricacies, this study scrutinizes the economic feasibility, environmental advantages, and educational significance of these integrated systems. Various factors, including the institution's category, energy source, facility nature, building construction, internal activities, weather conditions, and user behavior, significantly impact energy usage. This study offers a nuanced exploration, shedding light not only on the technical dimensions but also on the broader economic, environmental, and educational implications associated with the adoption of EERES.Mikhail A. Gorkavyy et.al (Brief research report):"Automated method based on a neural network model for searching energy efficient complex movement trajectories of industrial robot in a differentiated technological process";In this study, the authors have examined the possibility of developing a method to enhance the energy efficiency of a diverse robotic technological process (RTP) in the food industry. The proposed approach is based on principles of object-oriented design and the potential for categorizing RTP. By synthesizing energy consumption models of robots within varied RTP scenarios, such as load stacking, in a simplified format, neural network techniques were employed to identify nonlinear relationships. The training dataset for intelligent modules was established using traditional experimental planning algorithms. The synthesis of methods, models and procedures was implemented on the basis of high level programming languages C++and MATLAB. As a result, a mathematical model and automa