Using Wood Waste in Slovakia and its Real Energy Potential

2014 ◽  
Vol 1001 ◽  
pp. 131-140 ◽  
Author(s):  
Michal Cehlár ◽  
Zuzana Jurkasová ◽  
Dušan Kudelas ◽  
Róbert Tutko ◽  
Ján Mendel
Keyword(s):  
Energy Recovery ◽  
Energy Production ◽  
Wood Waste ◽  
Energy Potential ◽  
Ecological Benefits ◽  
Efficient Energy ◽  
Wood Processing ◽  
National Economic ◽  
Processing Plants ◽  
Environmental Burdens

Energy production from previously unused wood waste, which is produced by mining and manipulation in forestry, wood processing plants and in plants and also more efficient energy recovery firewood in the total amount of about 500 000 t, can annually replace the same amount of brown sorted coal. This has a significant national- economic importance in saving precious fuel but the financial effect greatly exceeding the environmental- ecological benefits resulting from the reduction of environmental burdens, exhausts and incombustible solid residues. These are only a few advantages and also the reasons why it is necessary especially at present days to deal with biomass and wood waste as well. The article therefore outlines a comparison of the previous use of this energy source as well as its possible future development.

scholarly journals Energy Recovery Potential in Industrial and Municipal Wastewater Networks Using Micro-Hydropower in Spain

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 691
Author(s):  
Aida Mérida García ◽  
Juan Antonio Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Recovery ◽  
Energy Production ◽  
Municipal Wastewater ◽  
Distribution Networks ◽  
Total Power ◽  
Energy Potential ◽  
Total Energy Consumption ◽  
Recovery Potential

The use of micro-hydropower (MHP) for energy recovery in water distribution networks is becoming increasingly widespread. The incorporation of this technology, which offers low-cost solutions, allows for the reduction of greenhouse gas emissions linked to energy consumption. In this work, the MHP energy recovery potential in Spain from all available wastewater discharges, both municipal and private industrial, was assessed, based on discharge licenses. From a total of 16,778 licenses, less than 1% of the sites presented an MHP potential higher than 2 kW, with a total power potential between 3.31 and 3.54 MW. This total was distributed between industry, fish farms and municipal wastewater treatment plants following the proportion 51–54%, 14–13% and 35–33%, respectively. The total energy production estimated reached 29 GWh∙year−1, from which 80% corresponded to sites with power potential over 15 kW. Energy-related industries, not included in previous investigations, amounted to 45% of the total energy potential for Spain, a finding which could greatly influence MHP potential estimates across the world. The estimated energy production represented a potential CO2 emission savings of around 11 thousand tonnes, with a corresponding reduction between M€ 2.11 and M€ 4.24 in the total energy consumption in the country.

Bio Enhanced Energy Recovery Technology for Clean and Efficient Energy Production

2018 ◽  
Author(s):  
Langbauer Clemens ◽  
Hofstätter Herbert ◽  
Mukhamedzianova Albina
Keyword(s):  
Energy Recovery ◽  
Energy Production ◽  
Efficient Energy

CHP and its role in efficient energy production: a feasibility assessment model

2012 ◽  
Vol 23 (5) ◽  
pp. 546-565 ◽  
Author(s):  
Alexander Nock ◽  
Udechukwu Ojiako ◽  
Tolga Bektas ◽  
Max Chipulu
Keyword(s):  
Energy Production ◽  
Assessment Model ◽  
Efficient Energy ◽  
Feasibility Assessment

Preliminary results on the determination of solar energy potential using LiDAR technology

2015 ◽  
Vol 6 (1) ◽  
pp. 11-17 ◽  
Author(s):  
G. Szabó ◽  
P. Enyedi ◽  
Gy. Szabó ◽  
I. Fazekas ◽  
T. Buday ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Energy Production ◽  
Alternative Energy ◽  
Surface Model ◽  
Solar Panels ◽  
Energy Potential ◽  
Potential Surfaces ◽  
Large Power ◽  
Automatic Data

According to the challenge of the reduction of greenhouse gases, the structure of energy production should be revised and the increase of the ratio of alternative energy sources can be a possible solution. Redistribution of the energy production to the private houses is an alternative of large power stations at least in a partial manner. Especially, the utilization of solar energy represents a real possibility to exploit the natural resources in a sustainable way. In this study we attempted to survey the roofs of the buildings with an automatic method as the potential surfaces of placing solar panels. A LiDAR survey was carried out with 12 points/m2 density as the most up-to-date method of surveys and automatic data collection techniques. Our primary goal was to extract the buildings with special regard to the roofs in a 1 km2 study area, in Debrecen. The 3D point cloud generated by the LiDAR was processed with MicroStation TerraScan software, using semi-automatic algorithms. Slopes, aspects and annual solar radiation income of roof planes were determined in ArcGIS10 environment from the digital surface model. Results showed that, generally, the outcome can be regarded as a roof cadaster of the buildings with correct geometry. Calculated solar radiation values revealed those roof planes where the investment for photovoltaic solar panels can be feasible.

scholarly journals Research on Energy Recovery Method of Virtual Track Train Based on Working Conditions Segmentation Strategy

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
CUI Hongming ◽  
◽  
PENG Anjin ◽  
SONG Pengyun ◽  
SUN Mengmeng ◽  
...  
Keyword(s):  
Energy Management ◽  
Energy Recovery ◽  
Working Condition ◽  
Simulation Analysis ◽  
Power Demand ◽  
Recovery Method ◽  
Efficient Energy ◽  
Segmentation Strategy ◽  
Power Battery ◽  
Management Method

In order to improve the efficiency of energy recovery of hybrid virtual track train, an energy management method based on the strategy of working condition segmentation is proposed under the condition of known line information. This method adjusts the power allocation of power battery and supercapacitor in different power modes of virtual track train. Based on the environment of MATLAB/Simulink, a simulation system for energy recovery of virtual track train is developed. Then this paper carries on the simulation analysis. The simulation results show that the proposed energy management method can achieve more efficient energy recovery under the condition of meeting the train power demand. After optimization, the power output of the train's power battery is reduced by 9.9%, and the recovery rate of the train's braking energy is increased by 9.3%.

scholarly journals Evaluation of Waste Potential in TPST Bantargebang Through Modified Triangular Method

2018 ◽  
Vol 67 ◽  
pp. 02040
Author(s):  
Budiman R Saragih ◽  
Sri R H Siregar ◽  
Adi Surjosatyo
Keyword(s):  
Power Plant ◽  
Energy Recovery ◽  
Reduction Potential ◽  
Waste Treatment ◽  
Landfill Gas ◽  
Electrical Energy ◽  
Economic Potential ◽  
Energy Potential ◽  
Emission Reduction Potential ◽  
Triangular Method

The landfill gas technology has been implemented in some landfill in urban area of Indonesia. Bantargebang integrated waste treatment (TPST Bantargebang) is the first landfill completed with energy recovery facility, landfill gas technology. TPST Bantargebang power plant established in 2010 and supplied electricity to grid. The electrical energy supplied tend to decrease and only reaches 2.4 GWh in 2017. Energy potential is important to evaluated for knowing the performance of TPST Bantargebang power plant. By using Modified Triangular Method, obtained the results that the electricity energy potential equal to 4.5 GWh. The calculation also estimate the emission reduction potential about 4325.88 tCO2/year, and economic potential from sales of electricity about 3.7 billion rupiah.

Energy recovery of glued wood waste – A review

Fuel ◽  
2020 ◽  
Vol 262 ◽  
pp. 116520 ◽  
Author(s):  
E. Cesprini ◽  
G. Resente ◽  
V. Causin ◽  
T. Urso ◽  
R. Cavalli ◽  
...  
Keyword(s):  
Energy Recovery ◽  
Wood Waste

Wind resource assessment and wind farm modeling in Mossobo-Harena area, North Ethiopia

2020 ◽  
pp. 0309524X2092540
Author(s):  
Addisu Dagne Zegeye
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Power Density ◽  
Energy Production ◽  
Wind Farm ◽  
Ground Level ◽  
Energy Potential ◽  
Mean Power ◽  
Wind Energy Potential

Although Ethiopia does not have significant fossil fuel resource, it is endowed with a huge amount of renewable energy resources such as hydro, wind, geothermal, and solar power. However, only a small portion of these resources has been utilized so far and less than 30% of the nation’s population has access to electricity. The wind energy potential of the country is estimated to be up to 10 GW. Yet less than 5% of this potential is developed so far. One of the reasons for this low utilization of wind energy in Ethiopia is the absence of a reliable and accurate wind atlas and resource maps. Development of reliable and accurate wind atlas and resource maps helps to identify candidate sites for wind energy applications and facilitates the planning and implementation of wind energy projects. The main purpose of this research is to assess the wind energy potential and model wind farm in the Mossobo-Harena site of North Ethiopia. In this research, wind data collected for 2 years from Mossobo-Harena site meteorological station were analyzed using different statistical software to evaluate the wind energy potential of the area. Average wind speed and power density, distribution of the wind, prevailing direction, turbulence intensity, and wind shear profile of the site were determined. Wind Atlas Analysis and Application Program was used to generate the generalized wind climate of the area and develop resource maps. Wind farm layout and preliminary turbine micro-sitting were done by taking various factors into consideration. The IEC wind turbine class of the site was determined and an appropriate wind turbine for the study area wind climate was selected and the net annual energy production and capacity factor of the wind farm were determined. The measured data analysis conducted indicates that the mean wind speed at 10 and 40 m above the ground level is 5.12 and 6.41 m/s, respectively, at measuring site. The measuring site’s mean power density was determined to be 138.55 and 276.52 W/m2 at 10 and 40 m above the ground level, respectively. The prevailing wind direction in the site is from east to south east where about 60% of the wind was recorded. The resource grid maps developed by Wind Atlas Analysis and Application Program on a 10 km × 10 km area at 50 m above the ground level indicate that the selected study area has a mean wind speed of 5.58 m/s and a mean power density of 146 W/m2. The average turbulence intensity of the site was found to be 0.136 at 40 m which indicates that the site has a moderate turbulence level. According to the resource assessment done, the area is classified as a wind Class IIIB site. A 2-MW rated power ENERCON E-82 E2 wind turbine which is an IEC Class IIB turbine with 82 m rotor diameter and 98 m hub height was selected for estimation of annual energy production on the proposed wind farm. 88 ENERCON E-82 E2 wind turbines were properly sited in the wind farm with recommended spacing between the turbines so as to reduce the wake loss. The rated power of the wind farm is 180.4 MW and the net annual energy production and capacity factor of the proposed wind farm were determined to be 434.315 GWh and 27.48% after considering various losses in the wind farm.

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