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Engineering 2023年第7期26卷 198-213,I0008页

作者： Marco Massano Enrico Macii Andrea Lanzini Edoardo Patti Lorenzo Bottaccioli Interuniversity Department of Regional and Urban Studies and Planning Politecnico di TorinoTorino 10129Italy Department of Energy“Galileo Ferraris” Politecnico di TorinoTorino 10129Italy Department of Control and Computer Engineering Politecnico di TorinoTorino 10129Italy

The rising awareness of environmental issues and the increase of renewable energy sources(RESs)has led to a shift in energy production toward RES,such as photovoltaic(PV)systems,and toward a distributed generation(DG)model of energy production that requires systems in which energy is generated,stored,and consumed locally.In this work,we present a methodology that integrates geographic information system(GIS)-based PV potential assessment procedures with models for the estimation of both energy generation and consumption profiles.In particular,we have created an innovative infrastructure that co-simulates PV integration on building rooftops together with an analysis of households’electricity demand.Our model relies on high spatiotemporal resolution and considers both shadowing effects and real-sky conditions for solar radiation estimation.It integrates methodologies to estimate energy demand with a high temporal resolution,accounting for realistic populations with realistic consumption profiles.Such a solution enables concrete recommendations to be drawn in order to promote an understanding of urban energy systems and the integration of RES in the context of future smart cities.The proposed methodology is tested and validated within the municipality of Turin,Italy.For the whole municipality,we estimate both the electricity absorbed from the residential sector(simulating a realistic population)and the electrical energy that could be produced by installing PV systems on buildings’rooftops(considering two different scenarios,with the former using only the rooftops of residential buildings and the latter using all available rooftops).The capabilities of the platform are explored through an in-depth analysis of the obtained results.Generated power and energy profiles are presented,emphasizing the flexibility of the resolution of the spatial and temporal results.Additional energy indicators are presented for the self-consumption of produced energy and the avoidance of CO_(2) emissions.

关键词： Energy informatics Geographic information system Load estimation Open data photovoltaic Residential Urban planning Co-simulation

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Aging phenomena of backsheet materials of photovoltaic systems for future zero-carbon energy and the improvement pathway

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Journal of Materials Science & Technology 2023年第22期153卷 106-119页

作者： Jia-Wei Zhang Weihang Deng Zifan Ye Sombel Diaham Chatchai Putson Xing Zhou Jingbo Hu Zhonggang Yin Rong Jia School of Electrical Engineering Xi’an University of TechnologyXi’an710048China Universitéde Toulouse UPSINPTLAPLACE(Laboratoire Plasma et Conversion d’Energie)118 route de NarbonneF-31062 cedex 9ToulouseFrance Materials Physics Laboratory Division of Physics ScienceFaculty of SciencePrince of Songkla University(PSU)Songkhla90112Thailand Faculty of Printing Packing Engineering and Digital Media TechnologyXi’an University of TechnologyXi’an710054China

The insulation degradation in polymeric backsheets has been identified as a main cause of catastrophic accidents induced by short circuit or ground faults in photovoltaic module.To ensure quality,the photovoltaic industry is therefore faced with urgent demand in discovering degradation mechanisms.Moreover,the development of environmental-friendly backsheets and the establishment of backsheets recycling specifications are vital to fulfilling the requirements of a future reliable photovoltaic system with improved productivity.In this review,we innovatively summarize the detection methods of insulation deterioration from the viewpoints of spectroscopic,thermal and mechanical approaches.The corresponding ambient conditions in measurement and their accelerating effect on the degradation of photovoltaic backsheets are discussed.Subsequently,emerging novel materials and structures for enhancing insula-tion properties,antiaging performance and optical-electrical energy conversion efficiency of photovoltaic cell are summarized.It offers a comprehensive strategy to design materials with optimal structures in photovoltaic module for a future zero-carbon energy system.

关键词： photovoltaic Polymeric backsheets Degradation Environmental-friendly design Zero-carbon

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Decoupled photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 932-940页

作者： Jose Miguel Riquelme-Dominguez Francisco M.Gonzalez-Longatt Sergio Martinez Electrical Engineering Department Escuela Tecnica Superior de Ingenieros IndustrialesUniversidad Politecnica de Madrid28006 MadridSpain Department of Electrical Engineering Information Technology and CyberneticsUniversity of South-Eastern Norway3918 PorsgrunnNorway

As photovoltaic energy increasingly penetrates in power systems,transmission system operators have started to request its participation in providing ancillary services.One of the demanded services is the power ramp-rate control(PRRC),which attempts to limit the power ramps produced by intermittent irradiance conditions.In order to achieve the desired objective,solutions based on storage systems or modifying the maximum power point tracking(MPPT)in perturb and observe(P&O)algorithms are commonly adopted.The starting point in PRRC is the determination of the instantaneous power ramprate,and different methods have been proposed in the literature for its calculation.However,the accuracy and computational speed of existing procedures can be improved,which may be critical in situations with rapid irradiance fluctuations.In this paper,a decoupled photovoltaic power ramp-rate calculation method is presented,in which the effect of variable irradiance and the P&O algorithm are computed separately.The proposed method has been theoretically demonstrated and tested through simulation and experimental tests.Simulation results show that it can improve the previous methods in terms of accuracy and computation time.Experimental validation with hardware-inthe-loop demonstrates the suitability of the proposed method for real-time applications,even in presence of noisy measurements.

关键词： Hardware-in-the-loop maximum power point tracking perturb and observe photovoltaic power ramp-rate control ramp-rate calculation method

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Comprehensive energy, economic, environmental assessment of a building integrated photovoltaic-thermoelectric system with battery storage for net zero energy building

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Building Simulation 2022年第11期15卷 1923-1941页

作者： Yongqiang Luo Nan Cheng Shicong Zhang Zhiyong Tian Guozhi Xu Xinyan Yang Jianhua Fan School of Environmental Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Institute of Building Environment and Energy China Academy of Building ResearchBeijing 100013China Department of Civil Engineering Technical University of DenmarkLyngbyDK2800Denmark

To realize the goal of net zero energy building(NZEB),the integration of renewable energy and novel design of buildings is needed.The paths of energy demand reduction and additional energy supply with renewables are separated.In this study,those two are merged into one integration.The concept is based on the combination of photovoltaic,thermoelectric modules,energy storage and control algorithms.Five types of building envelope systems,namely PV+TE(S1),Grid+TE(S2),PV+Grid+TE(S3),PV+Battery+TE(S4)and PV+Grid+Battery+TE(S5)are studied,from aspects of energy,economic and environmental(E3)performance.The new envelope systems can achieve thermal load reduction while providing additional cooling/heating supply,which can promote advance of NZEBs.It is found that there is a typical optimum setting of thermal energy load for each one of them with minimum annual power consumption.Except for the S1 system,the rest can realize negative accumulated power consumption in a year-round operation,which means the thermal load of building envelope could be zero.The uniform annual cost for S1 to S5 under interest rate of 0.04 are 19.78,14.77,23.83,60.53,64.94$/m2,respectively.The S5 system has the highest environmental effect with 3.04 t/m2 reduction of CO_(2) over 30 years of operation.

关键词： net zero energy building photovoltaic thermoelectric cooling building envelope energetic-economic-environmental analysis

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A review on high performance photovoltaic cells and strategies for improving their efficiency

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Frontiers in Energy 2022年第4期16卷 548-580页

作者： Muni Raj MAURYA John-John CABIBIHAN Kishor Kumar SADASIVUNI Kalim DESHMUKH Mechanical and Industrial Engineering Department College of EngineeringQatar UniversityDoha 2713Qatar Center for Advanced Materials Qatar University Doha 2713Qatar Center for Advanced Materials Qatar UniversityDoha 2713Qatar New Technologies-Research Center University of West BohemiaPlzen 30100Czech Republic

The introduction of a practical solar cell by Bell Laboratory,which had an efficiency of approximately 6%,signified photovoltaic technology as a potentially viable energy source.Continuous efforts have been made to increase power conversion efficiency(PCE).In the present review,the advances made in solar cells(SCs)are summarized.Material and device engineering are described for achieving enhanced light absorption,electrical properties,stability and higher PCE in SCs.The strategies in materials and coating techniques for large area deposition are further elaborated,which is expected to be helpful for realizing high-efficiency SCs.The methods of lightharvesting in SCs via anti-reflecting coatings,surface texturing,patterned growth of nanostructure,and plasmonics are discussed.Moreover,progress in mechanical methods that are used for sun tracking are elaborated.The assistance of the above two protocols in maximizing the power output of SCs are discussed in detail.Finally,further research efforts needed to overcome roadblocks in commercialization were highlighted and perspectives on the future development of this rapidly advancing field are offered.

关键词： photovoltaic efficiency large area deposition light harvesting sun tracker

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Large photovoltaic effect with ultrahigh open-circuit voltage in relaxor-based ferroelectric Pb(In_(1/2)Nb_(1/2))O_(3)-Pb(Mg_(1/3)Nb_(2/3))O_(3)-PbTiO_(3)ceramics

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Journal of Materials Science & Technology 2022年第9期104卷 119-126页

作者： Xudong Qi Kai Li Enwei Sun Bingqian Song Da Huo Jiaming Li Xianjie Wang Rui Zhang Bin Yang Wenwu Cao Condensed Matter Science and Technology Institute School of Instrumentation Science and EngineeringHarbin Institute of TechnologyHarbin 150080China Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationSchool of Physics and Electronic EngineeringHarbin Normal UniversityHarbin 150025China School of Physics Harbin Institute of TechnologyHarbin 150001China Department of Mathematics and Materials Research Institute The Pennsylvania State UniversityUniversity ParkPennsylvania 16802USA

Recently,the anomalous photovoltaic effect of ferroelectric materials has attracted considerable attention in the construction of efficient solar cells owing to the above-bandgap photovoltage of these materials.In this study,we investigate the anomalous photovoltaic effect of relaxor-based ferroelectric Pb(In_(1/2)Nb_(1/2))O_(3)-Pb(Mg_(1/3)Nb_(2/3))O_(3)-PbTiO_(3)(PIMN-PT)ceramics with large remnant polarization and a narrow optical bandgap.Excellent photovoltaic performance with an ultrahigh open-circuit voltage of 23 V(575 V/cm)is achieved,which is higher than the open-circuit voltages of all reported polycrystalline materials with similar thickness.The phase structure,microstructure morphology,domain structure,ferroelectric and optical characteristics are analyzed,which could provide clues to the origin of the ultrahigh open-circuit voltage of PIMN-PT ceramics.The results suggest that the relaxor-based ferroelectric PIMNPT system is a potential candidate for photovoltaic solar energy conversion devices.

关键词： photovoltaic Ferroelectric PIMN-PT ceramics Open-circuit voltage Domain structure

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Power enhancement using improved maximum power point tracking for solar photovoltaic systems under partial shading

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Clean Energy 2022年第6期6卷 810-816页

作者： Chandrakant D.Bhos Javed Sayyad Paresh Nasikkar Department of Electronics and Telecommunication Engineering Symbiosis Institute of Technology(SIT)Symbiosis International(Deemed University)(SIU)LavalePune412115MaharashtraIndia Department of Robotics and Automation Engineering Symbiosis Institute of Technology(SIT)Symbiosis International(Deemed University)(SIU)LavalePune412115MaharashtraIndia

One of the key reasons contributing to a reduction in the performance of a solar photovoltaic(SPV)system is the presence of partial shade on the solar panels.It is necessary to use maximum power point tracking(MPPT)in SPV systems to get around the non-linear behaviour of photovoltaic panels.This research analyses the reduction in power output of SPV systems caused by partial shading.In the latter part of the paper,the improved dynamic behaviour-based ant colony optimization MPPT approach under the effect of module-level partial shading is implemented in MATLAB®/Simulink®.Various partial shading levels were applied to SPV modules to evaluate the system performance.The proposed system follows the maximum power point with 99.9%accuracy and a response time of 2 ms.The addition of a weight coefficient accelerates the convergence of the algorithm.

关键词： solar photovoltaic MPPT shading optimization

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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with photovoltaic

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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV users.This paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power grid.The proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,simultaneously.Afterwards,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling problem.Finally,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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Prediction of photovoltaic power output based on different non-linear autoregressive artificial neural network algorithms

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Global Energy Interconnection 2022年第2期5卷 226-235页

作者： Adriano Pamain P.V.Kanaka Rao Frank Nicodem Tilya Department of Physics The University of DodomaDodomaTanzania

Prediction of power output plays a vital role in the installation and operation of photovoltaic modules.In this paper,two photovoltaic module technologies,amorphous silicon and copper indium gallium selenide installed outdoors on the rooftop of the University of Dodoma,located at 6.5738°S and 36.2631°E in Tanzania,were used to record the power output during the winter season.The average data of ambient temperature,module temperature,solar irradiance,relative humidity,and wind speed recorded is used to predict the power output using a non-linear autoregressive artificial neural network.We consider the Levenberg-Marquardt optimization,Bayesian regularization,resilient propagation,and scaled conjugate gradient algorithms to understand their abilities in training,testing and validating the data.A comparison with reference to the performance indices:coefficient of determination,root mean square error,mean absolute percentage error,and mean absolute bias error is drawn for both modules.According to the findings of our investigation,the predicted results are in good agreement with the experimental results.All the algorithms performed better,and the predicted power out of both modules using the Bayesian regularization algorithm is observed to exhibit good processing capabilities compared to the other three algorithms that are evident from the measured performance indices.

关键词： photovoltaic Artificial neural network Training algorithms Ambient parameters Power output

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Techno-economic-environmental comparison of floating photovoltaic plant with conventional solar photovoltaic plant in northern Iran

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Clean Energy 2022年第2期6卷 353-361页

作者： Sina Semeskandeh Mehrdad Hojjat Mohamad Hosseini Abardeh Department of Electrical and Computer Engineering Shahrood BranchIslamic Azad UniversityShahroodIran

photovoltaic(PV)systems can be used to generate electricity due to the potential for solar energy in Iran.Applying floating photovol-taic(FPV)systems is a new approach to utilizing PV systems in water.Most of Iran’s energy consumption is supplied from fossil fuels,especially oil and gas.In recent years,Iran has faced environmental problems and air pollution.Electricity generation using fossil fuels has led to increased environmental pollution.Accordingly,PV systems can be used to generate electricity due to the potential for solar energy in Iran.The interest in predicting the energy production of PV power plants has increased in recent years.In this regard,the techno-economic-environmental study of constructing PV power plants is a basic process to encourage people to use solar energy.A techno-economic-environmental feasibility study has been performed to construct a 5-kW FPV and ground PV(GPV)power plant in a northern city of Iran.Also,the FPV system is compared with the ground PV system using MATLAB^(■)Simulink and RETScreen^(■)software.In this study,the effects of wind and water temperature have been considered.Also,a sensitivity analysis was performed due to the uncertainty in climatic conditions and the amount of PV energy generation.The simulation results show that due to the cooling effect for panels in the FPV system,the production capacity and panels’efficiency are respectively 19.47%and 27.98%higher than the those of the GPV system.In addition,the FPV system was found to have a 16.96%increase in the annual performance ratio.Overall,using the FPV system reduces the equity payback to 6.3 years(a 22.2%reduction compared to the GPV power plant).

关键词： photovoltaic solar energy floating feasibility environmental

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