The Effects of Green Energy Production on Farmland: A Case Study in Yunlin County, Taiwan

Towards a labelling for green energy production units: Case study of off-grid solar PV systems

Energy ◽

10.1016/j.energy.2020.118149 ◽

2020 ◽

Vol 208 ◽

pp. 118149

Author(s):

Yao K. Azoumah ◽

Alain K. Tossa ◽

Rock A. Dake

Keyword(s):

Energy Production ◽

Green Energy ◽

Solar Pv ◽

Pv Systems

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The European transition to a green energy production model: Italian feed-in tariffs scheme & Trentino Alto Adige mini wind farms case study

Small Business International Review ◽

10.26784/sbir.v4i2.246 ◽

2020 ◽

Vol 4 (2) ◽

pp. 39-52

Author(s):

Javier Heredia Yzquierdo ◽

Antonio Sánchez-Bayón

Keyword(s):

Energy Production ◽

Wind Farms ◽

Legal Framework ◽

Green Energy ◽

Production Model ◽

Eu Member States ◽

Green Power ◽

Europe 2020 ◽

Europe 2020 Strategy

The Europe 2020 Strategy is aimed at making the EU into a smart, sustainable and inclusive economy by 2020. This Strategy has to promote environmental policies and economic opportunities. Back in 2007 Italy was performing slightly below average and way below the most advanced EU Member States as far as percentage of green energy of the total energy produced in Italy. Measures were taken and though the Italian regulation around green energies has been hectic though effective. Italian legislation recently passed will put emphasis on the relevance of a Green Power strategy by guarantying an attractive minimum price per Kw produced through clean and environmental friendly sources, notably from Wind energy sources. Within the sector a new area is grafting attention: the mini wind farms. The Trentino Alto Adige region in Northern Italy has taken particularly profit of the national legal framework and has develop a further regional frame that has placed the region on top of the Italian green energy production charts. The local idiosyncrasy is making of the mini wind farms a case study

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Assessment of Fruit and Vegetable Residues Suitable for Renewable Energy Production: GIS-Based Model for Developing New Frontiers within the Context of Circular Economy

Applied System Innovation ◽

10.3390/asi4010010 ◽

2021 ◽

Vol 4 (1) ◽

pp. 10

Author(s):

Roberta Selvaggi ◽

Francesca Valenti

Keyword(s):

Renewable Energy ◽

Circular Economy ◽

Energy Production ◽

Renewable Energy Sources ◽

Green Energy ◽

Regulatory Framework ◽

Fruit And Vegetable ◽

New Frontier ◽

Vegetable Wastes

Due to the necessity of developing renewable energy sources, the anaerobic digestion for producing biomethane has developed significantly in the last years, since it allows to both reduce disposal treatment and produce green energy. In this field, fruit and vegetable wastes have been recently put forward, since they could represent a suitable resource for producing biomethane as a new frontier within the context of a circular economy. This study aims at filling the gap in the knowledge of the production, quantities and biogas potential production of these residues. On this basis, a GIS-based model was developed and applied to the Sicily region by investigating the specific regulatory framework as well as by analysing descriptive statistics. The results of the GIS analyses enabled the localisation of the highest productive territorial areas and highlighted where fruit and vegetable wastes are abundantly located. In this regard, about 7 million Nm3 of biogas could be produced by reusing only the fruit and vegetable residues coming from the three most representative Sicilian wholesale markets among those considered. Finally, the regulatory framework is of crucial importance in inhibiting or supporting the use of the selected biomass in a specific sector, with regard to the case study considered.

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MANAGEMENT PLANNING METHOD FOR SUSTAINABLE ENERGY PRODUCTION FROM FOREST BIOMASS: DEVELOPMENT OF AN OPTIMIZATION SYSTEM AND CASE STUDY FOR A FINNISH ENERGY PLANT

Environmental Engineering and Management Journal ◽

10.30638/eemj.2018.069 ◽

2018 ◽

Vol 17 (3) ◽

pp. 685-696

Author(s):

Teijo Sakari Palander ◽

Ari Hietanen

Keyword(s):

Energy Production ◽

Sustainable Energy ◽

Forest Biomass ◽

Planning Method ◽

Management Planning ◽

Optimization System ◽

Energy Plant

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Wind Farm Cable Connection Layout Optimization with Several Substations

Energies ◽

10.3390/en14123615 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3615

Author(s):

Adelaide Cerveira ◽

Eduardo J. Solteiro Pires ◽

José Baptista

Keyword(s):

Energy Production ◽

Wind Farm ◽

Programming Model ◽

Optimal Solution ◽

Wind Farms ◽

Green Energy ◽

Fossil Energy ◽

Proposed Model ◽

Short Time ◽

Cable Connection

Green energy has become a media issue due to climate changes, and consequently, the population has become more aware of pollution. Wind farms are an essential energy production alternative to fossil energy. The incentive to produce wind energy was a government policy some decades ago to decrease carbon emissions. In recent decades, wind farms were formed by a substation and a couple of turbines. Nowadays, wind farms are designed with hundreds of turbines requiring more than one substation. This paper formulates an integer linear programming model to design wind farms’ cable layout with several turbines. The proposed model obtains the optimal solution considering different cable types, infrastructure costs, and energy losses. An additional constraint was considered to limit the number of cables that cross a walkway, i.e., the number of connections between a set of wind turbines and the remaining wind farm. Furthermore, considering a discrete set of possible turbine locations, the model allows identifying those that should be present in the optimal solution, thereby addressing the optimal location of the substation(s) in the wind farm. The paper illustrates solutions and the associated costs of two wind farms, with up to 102 turbines and three substations in the optimal solution, selected among sixteen possible places. The optimal solutions are obtained in a short time.

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Optimization of Low Head Axial-Flow Turbines for an Overtopping BReakwater for Energy Conversion: A Case Study

Energies ◽

10.3390/en14154618 ◽

2021 ◽

Vol 14 (15) ◽

pp. 4618

Author(s):

Antonio Mariani ◽

Gaetano Crispino ◽

Pasquale Contestabile ◽

Furio Cascetta ◽

Corrado Gisonni ◽

...

Keyword(s):

Energy Conversion ◽

Control Strategy ◽

Energy Production ◽

San Antonio ◽

Axial Flow ◽

Complex Process ◽

Low Head ◽

Wave Power Conversion ◽

And Control

Overtopping-type wave power conversion devices represent one of the most promising technology to combine reliability and competitively priced electricity supplies from waves. While satisfactory hydraulic and structural performance have been achieved, the selection of the hydraulic turbines and their regulation is a complex process due to the very low head and a variable flow rate in the overtopping breakwater set-ups. Based on the experience acquired on the first Overtopping BReakwater for Energy Conversion (OBREC) prototype, operating since 2016, an activity has been carried out to select the most appropriate turbine dimension and control strategy for such applications. An example of this multivariable approach is provided and illustrated through a case study in the San Antonio Port, along the central coast of Chile. In this site the deployment of a breakwater equipped with OBREC modules is specifically investigated. Axial-flow turbines of different runner diameter are compared, proposing the optimal ramp height and turbine control strategy for maximizing system energy production. The energy production ranges from 20.5 MWh/y for the smallest runner diameter to a maximum of 34.8 MWh/y for the largest runner diameter.

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Photovoltaic Cleaning Optimization: A Simplified Theoretical Approach for Air to Water Generator (AWG) System Employment

Energies ◽

10.3390/en14144271 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4271

Author(s):

Lucia Cattani ◽

Paolo Cattani ◽

Anna Magrini

Keyword(s):

Energy Loss ◽

Energy Production ◽

New Technologies ◽

Optimization Procedure ◽

System Size ◽

Design Tool ◽

Semiempirical Model ◽

Photovoltaic Panel ◽

Water Amount

Photovoltaic panel efficiency can be heavily affected by soiling, due to dust and other airborne particles, which can determine up to 50% of energy production loss. Generally, it is possible to reduce that impact by means of periodic cleaning, and one of the most efficient cleaning solutions is the use of demineralized water. As pauperization of traditional water sources is increasing, new technologies have been developed to obtain the needed water amount. Water extracted from the air using air to water generator (AWG) technology appears to be particularly suitable for panel cleaning, but its effective employment presents issues related to model selection, determining system size, and energy efficiency. To overcome such issues, the authors proposed a method to choose an AWG system for panel cleaning and to determine its size accordingly, based on a cleaning time optimization procedure and tailored to AWG peculiarities, with an aim to maximize energy production. In order to determine the energy loss due to soiling, a simplified semiempirical model (i.e., the DIrt method) was developed as well. The methodology, which also allows for energy saving due to an optimal cleaning frequency, was applied to a case study. The results show that the choice of the most suitable AWG model could prevent 83% of energy loss related to soling. These methods are the first example of a design tool for panel cleaning planning involving AWG technology.

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Robotics Application in Remote Data Acquisition and Control for Solar Ponds

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.253-255.705 ◽

2012 ◽

Vol 253-255 ◽

pp. 705-715 ◽

Cited By ~ 1

Author(s):

Mohamed Elbanhawi ◽

Milan Simic

Keyword(s):

Data Acquisition ◽

Real Time ◽

Energy Production ◽

Green Energy ◽

Industrial Robots ◽

Sampling Station ◽

Monitoring And Control ◽

Solar Ponds ◽

And Control ◽

Remote Data

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.

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