Investigation of Carbon Footprint Effect of Renewable Power Plants Regarding Energy Production: A Case Study of a City in Turkey

2022 ◽  
Author(s):  
Alper Kerem
Keyword(s):  
Carbon Footprint ◽  
Energy Production ◽  
Power Plants ◽  
Renewable Power ◽  
Footprint Effect

scholarly journals Elektroenergetski lokalni ugljikov otisak turizma na otocima Cresu i Lošinju

Geoadria ◽  
2012 ◽  
Vol 17 (2) ◽  
pp. 235
Author(s):  
Hrvoje Grofelnik
Keyword(s):  
Sustainable Development ◽  
Carbon Footprint ◽  
Energy Production ◽  
Electrical Energy ◽  
Theoretical Level ◽  
Human Influence ◽  
Northern Adriatic ◽  
Environmental Burden ◽  
Electrical Energy Production

The paper presents valuation of the local electro-energetic carbon footprint on the islands of Cres and Lošinj (The Northern Adriatic, Republic of Croatia). In the form of a case study the article isolates the locally allocated but globally present environmental burden caused by CO2 emission into the atmosphere as the result of electrical energy production. Within the environmental burden, the residents’ footprint and the footprint generated by tourism have been isolated. The hypothesis the article is based on presumes that the local electro-energetic carbon footprint is dominantly under the influence of tourism and shows annual oscillations closely related to the number of tourists on the islands. The article's contribution on theoretical level is the actualization of partial tourist footprints isolation, while on applicative level its contribution is in footprint calculations as a foundation for articulation of sustainable development strategies and spatial planning based on the actual human influence on the environment. The overall aim of the work is to contribute to revitalization and sustainable development of the islands as exceptionally valuable naturally preserved areas.

scholarly journals Utilization of Crop Residue for Power Generation: The Case of Ukraine

2019 ◽  
Vol 11 (24) ◽  
pp. 7004 ◽  
Author(s):  
Yongzhong Jiang ◽  
Valerii Havrysh ◽  
Oleksandr Klymchuk ◽  
Vitalii Nitsenko ◽  
Tomas Balezentis ◽  
...  
Keyword(s):  
Power Generation ◽  
Energy Production ◽  
Power Plants ◽  
Crop Residue ◽  
Crop Residues ◽  
Electricity Production ◽  
Energy Crop ◽  
Energy Potential ◽  
Renewable Power ◽  
Renewable Power Generation

Renewable energy is expected to play a significant role in power generation. The European Union, the USA, China, and others, are striving to limit the use of energy crop for energy production and to increase the use of crop residue both on the field and for energy generation processes. Therefore, crop residue may become a major energy source, with Ukraine following this course. Currently in Ukraine, renewable power generation does not exceed 10% of total electricity production. Despite a highly developed agriculture sector, there are only a small number of biomass power plants which burn crop residues. To identify possibilities for renewable power generation, the quantity of crop residues, their energy potential, and potential electricity generation were appraised. Cluster analysis was used to identify regions with the highest electricity consumption and crop residue energy potential. The major crops (wheat, barley, rapeseed, sunflower, and soybean) were considered in this study. A national production of crop residue for energy production of 48.66 million tons was estimated for 2018. The availability of crop residues was analyzed taking into account the harvest, residue-to-crop ratio, and residue removal rate. The crop residue energy potential of Ukraine has been estimated at 774.46 PJ. Power generation technologies have been analyzed. This study clearly shows that crop residue may generate between 27 and 108 billion kWh of power. We have selected preferable regions for setting up crop residue power plants. The results may be useful for the development of energy policy and helpful for investors in considering power generation projects.

scholarly journals Improving the Environmental Sustainability of Flash Geothermal Power Plants—A Case Study

2015 ◽  
Vol 7 (11) ◽  
pp. 15262-15283 ◽  
Author(s):  
Lorenzo Bruscoli ◽  
Daniele Fiaschi ◽  
Giampaolo Manfrida ◽  
Duccio Tempesti
Keyword(s):  
Environmental Sustainability ◽  
Power Plants ◽  
Geothermal Power

scholarly journals Electromechanical Design of Synchronous Power Controller in Grid Integration of Renewable Power Converters to Support Dynamic Stability

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2115
Author(s):  
Mostafa Abdollahi ◽  
Jose Ignacio Candela ◽  
Andres Tarraso ◽  
Mohamed Atef Elsaharty ◽  
Elyas Rakhshani
Keyword(s):  
Dynamic Stability ◽  
Power Plants ◽  
Power Converters ◽  
Power Grids ◽  
Synchronous Generators ◽  
Power Controller ◽  
Renewable Power ◽  
Grid Connection ◽  
Control Technologies ◽  
Control Layer

Nowadays, modern power converters installed in renewable power plants can provide flexible electromechanical characteristics that rely on the developed control technologies such as Synchronous Power Controller (SPC). Since high renewable penetrated power grids result in a low-inertia system, this electromechanical characteristic provides support to the dynamic stability of active power and frequency in the power generation area. This goal can be achieved through the proper tuning of virtual electromechanical parameters that are embedded in the control layers of power converters. In this paper, a novel mathematical pattern and strategy have been proposed to adjust dynamic parameters in Renewable Static Synchronous Generators controlled by SPC (RSSG-SPC). A detailed dynamic modeling was obtained for a feasible design of virtual damping coefficient and virtual moment of inertia in the electrometrical control layer of RSSG-SPC’s power converters. Mathematical solutions, modal analysis outcomes, time-domain simulation results, and real-time validations of the test in IEEE-14B benchmark confirm that the proposed method is an effective procedure for the dynamic design of RSSG-SPC to provide these dynamic stability supports in grid connection.

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

scholarly journals Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 900
Author(s):  
Ioanna Skoulidou ◽  
Maria-Elissavet Koukouli ◽  
Arjo Segers ◽  
Astrid Manders ◽  
Dimitris Balis ◽  
...  
Keyword(s):  
Power Plant ◽  
Data Assimilation ◽  
Energy Production ◽  
Power Plants ◽  
Transport Model ◽  
A Priori ◽  
Filter Method ◽  
Nox Emissions ◽  
A Posteriori ◽  
Data Assimilation Technique

In this work, we investigate the ability of a data assimilation technique and space-borne observations to quantify and monitor changes in nitrogen oxides (NOx) emissions over Northwestern Greece for the summers of 2018 and 2019. In this region, four lignite-burning power plants are located. The data assimilation technique, based on the Ensemble Kalman Filter method, is employed to combine space-borne atmospheric observations from the high spatial resolution Sentinel-5 Precursor (S5P) Tropospheric Monitoring Instrument (TROPOMI) and simulations using the LOTOS-EUROS Chemical Transport model. The Copernicus Atmosphere Monitoring Service-Regional European emissions (CAMS-REG, version 4.2) inventory based on the year 2015 is used as the a priori emissions in the simulations. Surface measurements of nitrogen dioxide (NO2) from air quality stations operating in the region are compared with the model surface NO2 output using either the a priori (base run) or the a posteriori (assimilated run) NOx emissions. Relative to the a priori emissions, the assimilation suggests a strong decrease in concentrations for the station located near the largest power plant, by 80% in 2019 and by 67% in 2018. Concerning the estimated annual a posteriori NOx emissions, it was found that, for the pixels hosting the two largest power plants, the assimilated run results in emissions decreased by ~40–50% for 2018 compared to 2015, whereas a larger decrease, of ~70% for both power plants, was found for 2019, after assimilating the space-born observations. For the same power plants, the European Pollutant Release and Transfer Register (E-PRTR) reports decreased emissions in 2018 and 2019 compared to 2015 (−35% and −38% in 2018, −62% and −72% in 2019), in good agreement with the estimated emissions. We further compare the a posteriori emissions to the reported energy production of the power plants during the summer of 2018 and 2019. Mean decreases of about −35% and−63% in NOx emissions are estimated for the two larger power plants in summer of 2018 and 2019, respectively, which are supported by similar decreases in the reported energy production of the power plants (~−30% and −70%, respectively).

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