1,721,155 research outputs found
Cost, energy efficiency, and environmental impact analysis of orange juice pasteurization: comparing pulsed electric fields with traditional thermal treatment
No full textThis study conducts a comprehensive analysis to
assess the feasibility of integrating pulsed electric field
technology for pasteurizing orange juice with heat recovery,
aiming to offer a sustainable electrical alternative to
conventional high-temperature short-time treatment. The
evaluation encompasses energy, economic, and sustainability
aspects, including cost analysis, energy efficiency, and
environmental impact assessment. Despite higher initial costs,
the comparison analysis demonstrates significant utility savings
and enhanced sustainability with the electric technology
compared to the conventional thermal method. An analysis of
energetic scenarios identifies the electrical solution with a
preheating temperature of 40°C and thermal recovery of 20%
as the most energy-efficient and sustainable option, with
reduced water consumption and emissions. Overall, the findings
suggest that electrical technology holds promise as a viable and
environmentally friendly approach to orange juice
pasteurization, contributing to the advancement of sustainable
food processing practices
PV Advancements & challenges. Forecasting techniques, real applications, and grid integration for a sustainable energy future
No full textThe rapid increase in solar power generation requires accurate forecasting of photovoltaic (PV) energy production for effective grid integration and energy market participation. This paper presents state-of-the-art forecasting techniques and models, including statistical and time series models, machine learning models, deep learning models, probabilistic forecasting models, and data-driven feature engineering and selection. In addition, applications of PV energy production forecasting in grid integration and energy market operations such as load balancing, generation planning, transmission and distribution planning, energy storage optimisation, bidding strategies, and renewable energy certificate trading are presented. Furthermore, challenges persist in PV power generation forecasting are presented, including data quality and availability, model uncertainty, forecast horizon and time resolution, and integration of multiple data sources and models. Finally, this article focusses on providing insight into the current PV energy production forecasting landscape and guiding future research and development efforts to address these challenges, enhance forecasting capabilities, and facilitate the global transition to a more sustainable and low-carbon energy future
Microgrids in view of forecasting and management. Challenges & opportunities considering emerging technologies integration
No full textMicrogrids provide a promising path toward a more flexible, and sustainable energy system. This article provides a comprehensive overview of forecasting and management of microgrinds, including monitoring and control techniques and focus on integrating new technologies and trends. Under the investigation the load and generation forecasting, energy storage management has been considered. In addition, we explore the challenges and opportunities of integrating electric vehicles, the Internet of Things, peer-to-peer energy trading platforms as weel as microforntend architecture into microgrids
Various aspects of energy transition. technologies, economy, and social synergies to sustainable future
No full textThis paper examines the multi-dimensional aspects of the transition to renewable energy, concentrating on the interaction between technology, economics and society. It examines the current state of renewable energy technologies, regional requirements for sustainable solutions, the scope for international cooperation, and new trends forming the future of renewable energy. We also discuss the challenges and opportunities for a just transition, highlighting the need for fair access, workforce development, local value creation, environmental justice and innovative financing mechanisms. Taking a comprehensive and integrated approach, this paper aims to provide insights and guidance for policymakers, industry stakeholders and researchers working toward a cleaner, more sustainable and inclusive energy future
Integration of supervision and monitoring systems of microgrids - a case study from lambda microgrid for correlation analysis
No full textIn the article, the implementation of Node-RED to a multi-platform, multi-protocol real system was presented. Node-RED is an open-source development and control platform, that enables to create a single system that communicates simultaneously on different protocols, collecting data from devices that would be unlikely to communicate on a single system. The object of investigation was a Lambda Microgrid, that operates at Sapienza University of Rome. After the application of Node-Red to collect data, the real electrical and weather condition data was obtained. That data was used to perform correlation analysis in point of microgrid working conditions and weather
Comparison between DFT, Adpative Window DFT and EDFT for Power Quality Frequency Spectrum Analysis
No full textSpectral leakage and picket-fence effects associated with the system fundamental frequency variation and improperly selected sampling time window prevents a direct application of the DFT algorithm with a constant sampling rate. In particular it’s very difficult to detect low level interharmoincs and subharmonics. In this paper we compare two methods, proposed in literature, evaluating the detection capability and accuracy in frequency spectrum estimation. Several tests in different condition has been effected for the comparison
A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities
No full textThis paper proposes a heuristic method for calculating the capacity of a set of residential photovoltaic-battery systems in providing upward flexibility services to the grid in an energy communities framework. The proposed method has been designed to calculate the upward service capacity in a few minutes, assuming a scenario where the grid operator urgently needs an upward service in a specific area. The proposed method calculates the service capacity by exploiting the PV overgeneration and the state of charge of batteries, adopting a distributed approach. If the service capacity varies relevantly over time, a centralized approach is considered allowing the service capacity to remain constant over time. An algorithm is provided that implements the proposed heuristic method that can be easily translated into a software code and solved even in the absence of specific skills and expensive high-level computational tools, i.e. using cost-effective single-board computers. The main benefits and advantages of the proposed method are due to its applicability in real-time problems and to its simplicity which makes it easy to be translated into software code and solved even in the absence of specific skills and high-level computational tools. Therefore, it is a simple and advantageous solution, especially for small energy communities. The numerical results demonstrate the effectiveness of the proposed method and algorithm, studying a set of four residential photovoltaic-battery systems and real input data. For this test case, the algorithm returns a flat service capacity of approximately 8 kW which remains perfectly constant for 1-hour. Lastly, the performance of the proposed heuristic method is compared with the solution of two optimization problems aiming at the same scope
Detection of Voltage Dips and Micro Interruptions Using the Hilbert Transform
No full textIn electrical energy power networks, disturbances can cause problems in electronic devices so their monitoring is fundamental in Power Quality. In this paper we address the problem of disturbances estimation by using the Hilbert Transform (HT). It is employed as an effective technique for tracking the voltage waveforms in electrical distribution systems. The mathematical simplicity of the proposed technique, compared with the commonly used algorithms from the literature, renders them competitive candidate for the on-line tracking of disturbances. The accurate tracking of the HT facilitates its implementation for the control of disturbances mitigation devices. Simulation results are provided to verify the tracking capabilities of the algorithm and this has been tested under different conditions: voltage dip with phase jump, noise and frequency changes shows that the Hilbert Transform can be used as a valid methodology for this type of phenomena
Evaluation of Compensation Devices of DC Arc Furnaces Using Advanced Spectrum Estimation Methods
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