The Energy Efficiency Research on Solar Photovoltaic and Photo-Thermal PV/T System

2013 ◽  
Vol 448-453 ◽  
pp. 1502-1508
Author(s):  
Zhi Gang Zhang ◽  
Jin Cui

Photovoltaic and photo-thermal integration PV/T system can efficiently produce heat using solar energy as well as generate electricity in a large scale. Based on the comparison test of solar efficiency between PV/T system with heat pipe cooling and tube plate PV/T system, whereas get the advantage for different PV/T systems in solar utilization.

2021 ◽  
pp. 0958305X2110571
Author(s):  
J. Charles Rajesh Kumar ◽  
MA Majid

The 18,000 square kilometers of water reservoirs in India can generate 280 GW of solar power through floating solar photovoltaic plants. The cumulative installed capacity of FSPV is 0.0027 GW, and the country plans to add 10 GW of FSPV to the 227 GW renewable energy target of 2022. The FSPV addition is small related to the entire market for solar energy, but each contribution is appreciated in the renewable energy market. FSPV could be a viable alternative for speeding up solar power deployment in the country and meeting its NDC targets. So far, the country has achieved the world's lowest investment cost for a floating solar installation. Despite the lower costs, generalizations are still premature because FSPV is still in its initial stages of market entry. Continuous innovation and timely adoption of innovative ideas and technology will support India in meeting its solar energy goals and progressing toward a more sustainable future. Governments must establish clear and enforceable policies to assist developers in reducing risks and increasing investor confidence in the sector. Economic and financial feasibility are examined, and various difficulties in technology, design, finances, environment, maintenance, and occupational health that impact the FSPV deployment are discussed. Based on the research, effective and comprehensive FSPV policy suggestions are included to support establishing an appropriate market, fostering competition and innovation, and attracting large-scale investment. This paper aims to stimulate interest among various policy developers, energy suppliers, industrial designers, ergonomists, project developers, manufacturers, health and safety professionals, executing agencies, training entities, and investment institutions of the FSPV plant to implement effective governance planning and help them to participate in their ways to assure sustainable growth.


2021 ◽  
Vol 261 ◽  
pp. 01060
Author(s):  
Jianfu Xu ◽  
Zhiqiang Liu ◽  
Haifeng Jiang

In recent years, the construction of large-scale electromechanical facilities and smart roads in the highway network has not only improved the level of operation safety but also generated a huge demand for electric energy, the highway transportation industry has become one of the key energy consumption industries second only to industry and construction. Solar energy has become a kind of green energy that has attracted more and more attention among various new energy sources due to its energy-saving, clean, zero-emission, wide-ranging and safe characteristics. This paper analyzes the distribution of solar photovoltaic resources in China’s highway network; puts forward the solar energy three-dimensional clean energy supply network technology which is suitable for highway scene, fully relying on and optimize the use of road network linear areas such as road surface space, three-dimensional space along the road to develop solar photovoltaic resources. Solar-powered roads, solar photovoltaic slopes, photovoltaic sound barriers, photovoltaic isolation barriers, etc. can be developed along the line, so as to build a three-dimensional road solar clean energy network that combines “points, lines and sections”, so that green and clean energy can be provided to a large number of electricity facilities and equipment along the highway, as well as to surrounding cities and villages, making the highway become the transport network carrying the flow of people and logistics, vehicle-road cooperative intelligent information network and clean energy supply network.


2021 ◽  
Vol 13 (2) ◽  
pp. 711 ◽  
Author(s):  
Chelsea Schelly ◽  
Don Lee ◽  
Elise Matz ◽  
Joshua M. Pearce

Solar photovoltaic (PV) energy technology can play a key role in decreasing the amount of carbon emissions associated with electrical energy production, while also providing an economically justifiable alternative to fossil fuel production. Solar energy technology is also extremely flexible in terms of the size and siting of technological development. Large scale PV farms, however, require access to large tracts of land, which can create community-scale conflict over siting solar energy development projects. While previous scholarship offers frameworks for understanding the mechanisms at play in socio-technological system transitions, including the renewable energy transition, those frameworks fail to center community priorities, values, and concerns, and therefore often do not provide an effective means of addressing community conflict over solar siting. This paper provides a conceptual exploration of how a proposed framework can guide decision making for solar development across multiple scales and settings, while also illuminating the potential barriers and bottlenecks that may limit the potential of solar energy development to occur in scales and forms that receive community acceptance and at the pace necessary to address the greenhouse gas emissions currently contributing to the rapidly changing global climate.


2021 ◽  
Author(s):  
Komal Pawar ◽  
Pratiksha Kumbhar ◽  
Nikita Pawar ◽  
Pratidnya Sawant ◽  
Akash Patil ◽  
...  

A new control algorithm for the proposed system is also presented in order to control the power delivery between the solar PV, battery and grid which simultaneously provides maximum power point tracking (MPPT) operation for the solar PV . Using this systems save solar energy, reduce pollution ,less total harmonic distortion (THD) ,as well as and lower maintenance .Cost also efficient .We used solar energy plays an important role in electricity generation in our project .Solar photovoltaic (PV) system and battery storage, which is implemented using a three level neutral-point-clamped (NPC) inverter. An inverter is an electrical device that converts direct current (DC) to alternating current (AC); the resulting AC can be at any required voltage and frequency with the use of appropriate transformers, switching, and control circuits. Renewable energy (solar energy) plays an important role in electricity generation. Proposed work . The solar inverter consist of solar panel , controller , inverter & batteries , all of which can function independently without utility . The solar system are now being used widely in different fields, like street lighting , traffic , telecommunications base ,large scale billboards & home power. In this paper, a novel configuration of a three-level neutral-point-clamped (NPC) inverter that can integrate solar photovoltaic (PV) with battery storage in a grid-connected system is proposed. The strength of the proposed topology lies in a novel, extended unbalance three-level vector modulation technique that can generate the correct ac voltage under unbalanced dc voltage conditions.


2018 ◽  
Author(s):  
Tao Wang ◽  
Yuhua Li ◽  
Huan Liu ◽  
Lei Zhang ◽  
Yuyan Jiang ◽  
...  

Author(s):  
Mark Endrei ◽  
Chao Jin ◽  
Minh Ngoc Dinh ◽  
David Abramson ◽  
Heidi Poxon ◽  
...  

Rising power costs and constraints are driving a growing focus on the energy efficiency of high performance computing systems. The unique characteristics of a particular system and workload and their effect on performance and energy efficiency are typically difficult for application users to assess and to control. Settings for optimum performance and energy efficiency can also diverge, so we need to identify trade-off options that guide a suitable balance between energy use and performance. We present statistical and machine learning models that only require a small number of runs to make accurate Pareto-optimal trade-off predictions using parameters that users can control. We study model training and validation using several parallel kernels and more complex workloads, including Algebraic Multigrid (AMG), Large-scale Atomic Molecular Massively Parallel Simulator, and Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. We demonstrate that we can train the models using as few as 12 runs, with prediction error of less than 10%. Our AMG results identify trade-off options that provide up to 45% improvement in energy efficiency for around 10% performance loss. We reduce the sample measurement time required for AMG by 90%, from 13 h to 74 min.


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