- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES) - Kremenchuk, Ukraine (2019.9.23-2019.9.25)] 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES) - Economic Efficiency of a Photovoltaic Power Plants
摘要： This paper presents the development of an intelligent dynamic energy management system (I-DEMS) for a smart microgrid. An evolutionary adaptive dynamic programming and reinforcement learning framework is introduced for evolving the I-DEMS online. The I-DEMS is an optimal or near-optimal DEMS capable of performing grid-connected and islanded microgrid operations. The primary sources of energy are sustainable, green, and environmentally friendly renewable energy systems (RESs), e.g., wind and solar; however, these forms of energy are uncertain and nondispatchable. Backup battery energy storage and thermal generation were used to overcome these challenges. Using the I-DEMS to schedule dispatches allowed the RESs and energy storage devices to be utilized to their maximum in order to supply the critical load at all times. Based on the microgrid’s system states, the I-DEMS generates energy dispatch control signals, while a forward-looking network evaluates the dispatched control signals over time. Typical results are presented for varying generation and load profiles, and the performance of I-DEMS is compared with that of a decision tree approach-based DEMS (D-DEMS). The robust performance of the I-DEMS was illustrated by examining microgrid operations under different battery energy storage conditions.
关键词： microgrid,Adaptive dynamic programming,reinforcement learning,evolutionary computing,dynamic energy management system (DEMS),renewable energy,neural networks
更新于2025-09-16 10:30:52
-
[IEEE 2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) - Noordwijk, Netherlands (2019.10.2-2019.10.4)] 2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) - Fault Tolerant Photovoltaic Array: A Repair Circuit Based on Memristor Sensing
摘要： Solar energy is one of the most important sources of renewable energy. Photovoltaic arrays are a widely employed systems used to harvest solar energy. In such systems, the presence of faulty cells negatively affect the energy production of the entire array. The design of fault tolerant solar arrays is therefore attracting a growing interest. In this work, we propose a hardware implementation of a fault-recovery algorithm for solar cell arrays. The proposed system detects cells with degraded performance using a memristor as sensing device. With the aim of improving energy production ef?ciency, the connections among solar cells are recon?gured according to the array health status. The designed system automatically activates spare cells in the segments of the array to eventually increase energy production. The proposed solution can be adapted to arrays of any size and be applied to different types of solar cells. We show through simulations that the solution here proposed signi?cantly increases the energy production in presence of faults.
关键词： Photovoltaic arrays,fault tolerance,renewable energy,solar energy,memristor sensing
更新于2025-09-16 10:30:52
-
[IEEE 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) - Vellore, India (2019.3.22-2019.3.23)] 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) - Numerical modeling and Simulation of Thermophotovoltaic Cell using COMSOL
摘要： In recent years, Thermophotovoltaics (TPV) have become a hot and essential research area due to the increase in requirement of electrical energy at global level as well as the scarcity on other fossil fuels. TPV is a technology which uses the application of photovoltaic diodes for generating electricity from thermal radiation. This process is generally achieved by using thermal emitters that are heated to a temperature greater than 800o C. In this work, we have designed a circular TPV cell using Silicon Carbide as an emitter and Gallium Antimonide as solar PV cells. The emitter is operated at a heat varying from 1000 K to 2000 K using parametric solver at a regular interval of 100 K. We have analyzed how the heat transfers with surface to surface radiation at a stationary condition. The temperature distribution and electrical power output of TPV cell is also observed. It is observed that the proposed TPV cell produces a maximum of 27000 W/m2 electrical power output at an emitter temperature of 1700 K and solar temperature of 1300 K.
关键词： Solar cell,Electrical energy,Thermophotovoltaic cell,Photovoltaic cell,Heat transfer,Renewable energy
更新于2025-09-16 10:30:52
-
[IEEE 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Daejeon, Korea (South) (2019.7.28-2019.8.1)] 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Room-temperature bonding of organic films using ultrathin Au intermediate layers for organic integrated optical devices
摘要： Powering cellular base stations with renewable energy are one of the long-term strategies for achieving green networks and reducing their operational costs. As an energy provider, the power grid is evolving into a smarter one, which allows more energy-efficient cellular networks and enables cooperation and interaction with the smart grid. On one hand, cellular networks can use harvested renewable energy and on-site energy storage to reduce their energy costs. On the other hand, the price of electricity depends on the energy load, which will eventually contribute to decreasing the peak consumption and global energy cost. In this paper, we propose new integration architecture for renewable energy-powered cellular networks and the smart grid. The proposed architecture is designed based on the classification and the analysis of the existing proposals and the requirements of the smart grid, renewable energy systems, and cellular networks.
关键词： energy efficiency,integration architecture,Cellular networks,smart grid,renewable energy
更新于2025-09-16 10:30:52
-
Validation of autonomous renewable energy hybrid wind/photovoltaic/RHFC prototype for the cell tower industry using MATLAB/Simulink
摘要： A large number of telecommunication base stations operate on unreliable grid or no grid at all, and rely on batteries or diesel generators for primary or back-up energy. This paper proposes an autonomous renewable energy micro-grid, using Solar Photovoltaics and Wind Turbine to generate electricity, and a Regenerative Hydrogen Fuel Cell as back-up power for up to 10 days. The system is validated using MATLAB/Simulink software and real-life weather data and optimized for a 25kW micro-grid near Dakar, Senegal. The simulations show a smart load-following system that instantaneously recognizes the cheapest source of electricity to power the load. Levelised Cost of Electricity based on the outcomes of the MATLAB/Simulink model show the economic potential of an RHFC as back-up for micro-grids, allowing cheap and reliable electricity to rural areas in developing countries, with a LCOE of 6.71 p/kWh, RHFC is by far the cheapest back-up for this application.
关键词： Simulation,Energy Storage,Hydrogen,Fuel Cell,Renewable Energy
更新于2025-09-16 10:30:52
-
Review of the Legislative Framework for the Remuneration of Photovoltaic Production in Spain: A Case Study
摘要： Spain is among the European countries with the greatest photovoltaic potential. During the first decade of the 2000s, Spain was a European leader in installed photovoltaic power and job creation in the renewable energy sector, strongly influenced by a very favorable regulatory framework and public subsidies at a time of economic growth. That situation would be completely reversed with the regulatory changes introduced in 2012 to combat the tariff deficit and the instability in the electricity supply system, problems accentuated by the economic crisis. The main objective of this study is to present an exhaustive review of the legislative changes that have affected photovoltaic energy in Spain. Using real data on electricity production and the remuneration of a typical photovoltaic plant, we show that there was a very significant fall in the economic returns that investors had come to expect, within a system that prioritized, first and foremost, the initial investment rather than the levels of electricity production. The changes to the legislative framework affecting a typical 100 kWp photovoltaic (PV) facility that entered into service before 2007 provoked a significant decrease of 8.7% in expected revenues, calculated from real data of production and income. These economic losses can be even higher, with a drop in revenue of almost 25% if the entire period of the installation’s useful life is analyzed. Public support for renewable energy is important for its introduction into the electricity market, but so is regulatory stability that offers investment security and predictability for maintaining investment and development in the renewable energy sector.
关键词： energy sector,legislative framework,renewable energy,photovoltaic production
更新于2025-09-16 10:30:52
-
[IEEE 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Paris, France (2019.9.1-2019.9.6)] 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Flexible control of broadband terahertz radiations from laser plasmas
摘要： This paper presents a novel energy-management method for a microgrid that includes renewable energy, diesel generators, battery storage, and various loads. We assume that the microgrid takes part in a pool market and responds actively to the electricity price to maximize its pro?t by scheduling its controllable resources. To address various uncertainties, a risk-constrained scenario-based stochastic programming framework is proposed using the conditional value at risk method. The designed model is solved by two levels of stochastic optimization methods. One level of optimization is to submit optimal hourly bids to the day-ahead market under the forecast data. The other level of optimization is to determine the optimal scheduling using the scenario-based stochastic data of the uncertain resources. The proposed energy management system is not only bene?cial for the microgrid and customers, but also applies the microgrid aggregator and virtual power plant. The results are shown to prove the validity of the proposed framework.
关键词： microgrid,Controllable load,risk management,smart grid,stochastic optimization,electricity market,renewable energy,energy management
更新于2025-09-16 10:30:52
-
Technical analysis of photovoltaic energy generation for supplying the electricity demand in Brazilian dairy farms
摘要： In many Brazilian dairy farms, the supply of electrical energy does not fully meet the demands of the production systems and/or presents frequent fluctuations and interruptions, making the expansion of production chain unfeasible. These and other barriers have motivating the adoption of renewable and independent energy sources, installed directly in the farms. The present study was conducted to perform a technical analysis of photovoltaic energy generation required for supplying the electricity demand in dairy farms located at Minas Gerais State, Brazil. Daily global radiations on tilted panels were estimated by mathematical models and long-term meteorological database (greater than 33 years). Electrical energy generated by grid-connected photovoltaic systems was predicted considering minimum, average, and maximum daily global radiation conditions. Electrical energy demands were monitored in small (66 cows), medium (106 cows), and large (158 cows) dairy farms. The direct use of electrical energy in operations performed at Brazilian dairy farms were 4, 28, 15, 39, and 15%, on average, for lighting, milking, water heating/pumping, milk cooling/refrigeration, and miscellaneous, respectively. The estimated energy consumptions were 0.96, 0.87, and 0.81 kWh cow?1 day?1 for farms with 66, 106, and 158 cows, respectively. The photovoltaic panel area varied considerably among small, medium, and large dairy farms in order to meet 80% of renewable fraction for the electricity demand.
关键词： Solar radiation models,Photovoltaic panels,Grid-connected photovoltaic system,Energy consumption,Renewable energy,Farm building
更新于2025-09-16 10:30:52
-
Advances in solar photovoltaics: Technology review and patent trends
摘要： Against the pressing challenges of climate change and fossil fuel depletion, renewable energy sources such as solar photovoltaics (PV) are considered a clean and sustainable alternative. PV technologies have grown into a substantial field of research and development through large stocks of scientific publications and patents. Besides cell technologies, the balance of system (BoS) components such as panels, electronics and energy storage form an important research area. The present article studies the development of the PV technological system using patent indicators. It is composed of three parts: First, it defines the system by thoroughly reviewing the various cell and BoS technologies. Second, it introduces a novel methodical approach for identifying its relevant patents. In that sense, the paper contributes with an accurate inventory of international patent classes for PV system. Finally, the geographical, organizational and technical trends over the past six decades are analysed along with a review of the most influential inventions. The analysis shows that 95% of the PV patent applications were filed by inventors from seven countries: Japan, Korea, China, USA, Germany, Taiwan, and France. Most patents were filed by companies and related to thin-film and crystalline-silicon cells as well as panel encapsulation and supporting structures. The analysis reviews the quantity, quality and technological specialization within countries’ patent profiles. It further provides an overview of the technological landscape and freedom-spaces available for manufacturers.
关键词： PV cell technologies,IPC classes inventory,Renewable energy,Balance of system,Solar photovoltaics,Sectoral identification,Patent trends
更新于2025-09-16 10:30:52
-
-carboline alkaloids in Dye sensitized solar cell. Electrochemical and spectroscopic characterization
摘要： Dye-sensitized solar cell (DSSC) technology represents a valuable source for renewable energy production. Although with a rather low conversion efficiency, the continuous improvement of the price/performance ratio is making this technology more competitive than other sources of electrical power generation. To date, one of the major challenges is the search of novel and low-cost photosensitizers, a key player in the overall photo-conversion process. Natural dyes have shown to be an excellent alternative that still needs to be further explored. In this work, the spectroscopic and electrochemical properties of two different families of naturally occurring pigments (i.e, β-carboline alkaloids (βCs) and the red protein R-phycoerythrin (R-PE)) as well as their role in DSSCs are addressed. DSSC assemblies show that R-PE represents a highly suitable photosensitizer showing quite a high stability with a relative high solar energy to electricity conversion efficiency (η = 0.11 %) when comparing with other recombinant proteins (η = 0.30 %). Algae extracts used without further purification showed herein the highest efficiencies. The latter fact has a concomitant positive effect on the overall production cost of these photovoltaic cells. Surprisingly, and despite their positive effect on the coating of the semiconductor surface, the use of βCs as additive decreases the overall conversion efficiency of the R-PE based DSSCs evaluated. Data support the hypothesis these alkaloids would be blocking the incident UVB/UVA radiation.
关键词： β-carboline alkaloids,Photosensitizer,R-phycoerythrin,Renewable energy,Dye-sensitized solar cell
更新于2025-09-16 10:30:52