AIMS Energy最新文献

Our aim is to develop a hierarchical framework that assesses the interdependence of digital metrics impacting clean energy in the European energy market. The framework is evaluated to determine its applicability to clean energy and implementation. We utilize a taxonomy of digital metrics with the MICMAC ("Matrice d'Impacts Croisés-Multiplication Appliquée à un Classement") methodology and a questionnaire-based survey using DEMATEL to validate the framework. This results in an efficient hierarchy and contextual relationship between key metrics in the European energy industry. We investigate and simulate ten key metrics of digital conversion for clean energy in the energy domain, identifying the most significant effects, including the "decision-making process" the "sustainable value chain" the "sustainable supply chain", "sustainable product life cycle", and the "interconnection of diverse equipment". The MICMAC methodology is used to classify these parameters for a better understanding of their structure, and DEMATEL is employed to examine cause-and-effect relationships and linkages. The practical implications of this framework can assist institutions, experts, and academics in forecasting essential metrics and can complement existing studies on digital conversion and clean energy. By prioritizing these key parameters, improvements in convenience, efficiency, and the reduction of product fossilization can be achieved. The value and originality of this study lie in the novel advancements in analyzing digital conversion metrics in the European energy industry using a cohesive ISM, MICMAC, and DEMATEL framework.

Pyrolysis is a complex energy conversion reaction due to the multiple stages of the process, the interaction of kinetics, mass and heat transfer and thermodynamics. The feedstock, temperature, heating rate, residence time, and reactor design are only a few factors that might impact the final product during the pyrolysis process. This study focuses on the temperature analysis of pyrolysis with sheep manure as feedstock, which includes reactor, pipes and condenser. The examination of the temperature distribution within a pyrolysis system can contribute to the preservation of product quality, the maintenance of heat balance, and the enhancement of energy efficiency. Based on the analysis, the degradation temperature of sheep manure is between 210–500 ℃. Consequently, it is crucial to control the reactor temperature at a desirable temperature that aligns with the degradation temperature of sheep manure. To ensure optimal condensation and maximize bio-oil yield, it is also necessary to control the condenser temperature. This study aims to determine the characteristics of temperature changes in pyrolysis systems using atomic models. The atomic model was built in OpenModelica using the Modelica language. The atomic model was validated with experiment, and it was found that there was a significant difference in reactor temperature. Complex processes occur in the reactor where pyrolysis occurs and various factors can impact the temperature of the reaction. The temperature in the multistage condenser gradually decreases by 1–3 ℃. In the principle of condensation, this temperature drop is considered less than optimal because the cooling fluid in the pyrolysis condensation system is air coolant, which is entirely reliant on ambient temperature. The accuracy of the atomic model is evaluated using error analysis and the mean absolute percentage error (MAPE). A value of 13.6% was calculated using the MAPE. The atomic model can be applied because this value is still within the tolerance range.

Green hydrogen is produced from water and solar, wind, and/or hydro energy via electrolysis and is considered to be a key component for reaching net zero by 2050. While green hydrogen currently represents only a few percent of all produced hydrogen, mainly from fossil fuels, significant investments into scaling up green hydrogen production, reaching some hundreds of billions of dollars, will drastically change this within the next 10 years with the price of green hydrogen being expected to fall from today's US＄ 5 per kg to US＄ 1–2 per kg. The Australian Government announced a two billion Australian dollar fund for the production of green hydrogen, explicitly excluding projects to produce hydrogen from fossil fuels, like methane. This article reviews current perspectives regarding the production of green hydrogen and its carbon footprint, potential major applications of green hydrogen, and policy considerations in regards to guarantee of origin schemes for green hydrogen and hydrogen safety standards.

In 2022, the global electricity consumption was 4,027 billion kWh, steadily increasing over the previous fifty years. Microgrids are required to integrate distributed energy sources (DES) into the utility power grid. They support renewable and nonrenewable distributed generation technologies and provide alternating current (AC) and direct current (DC) power through separate power connections. This paper presents a unified energy management system (EMS) paradigm with protection and control mechanisms, reactive power compensation, and frequency regulation for AC/DC microgrids. Microgrids link local loads to geographically dispersed power sources, allowing them to operate with or without the utility grid. Between 2021 and 2028, the expansion of the world's leading manufacturers will be driven by their commitment to technological advancements, infrastructure improvements, and a stable and secure global power supply. This article discusses iterative, linear, mixed integer linear, stochastic, and predictive microgrid EMS programming techniques. Iterative algorithms minimize the footprints of standalone systems, whereas linear programming optimizes energy management in freestanding hybrid systems with photovoltaic (PV). Mixed-integers linear programming (MILP) is useful for energy management modeling. Management of microgrid energy employs stochastic and robust optimization. Control and predictive modeling (MPC) generates energy management plans for microgrids. Future microgrids may use several AC/DC voltage standards to reduce power conversion stages and improve efficiency. Research into EMS interaction may be intriguing.