Analysis Of Energy Potential Research Articles

Impact of Sustainable Electricity for Cameroonian Population through Energy Efficiency and Renewable Energies

Access to electricity and a reliable supply of energy are essential elements of local economic development and poverty reduction. To address these challenges, appropriate policies and mechanisms at the national and regional levels need to be implemented. In this study, we used Johanson cointegration and Granger causality techniques to examine the different cointegration and causal relationships that exist between the growth of electricity consumption (CE) and socio-economic parameters (GDP, tertiary GDP, GDP per capita, number of households, number of subscribers and population) in Cameroon during the period from 1975 to 2011. The results from the software Eviews 7.2 show that there are cointegration relationships between electricity consumption and socio-economic indicators (LGDPH, LPO and LS) thus reflecting the long-term relationship between socio-economic growth and electricity consumption (CE). Consumption growth could, therefore, follow socio-economic growth. In addition, the analysis of the Granger causality test results reveals that there is a unidirectional causal relationship of macroeconomic indicators towards electricity consumption. That is, LGDPG to LCE, LGDPH to LCE, and LGDPT to LCE. There is also a unidirectional relationship between LCE and the demographic indicators that is the relationship of LCE to LS (number of subscribers). We can, therefore, conclude that the indicators that have a better influence on electricity consumption are the overall GDP for the macroeconomic indicators and the population for the socio-demographic indicators respectively. In addition, the analysis of renewable energy potential (EnRs) shows us that Cameroon enjoys good irradiation throughout its territory, hence its high solar potential. The wind speed is unevenly distributed over the territory, it has an average speed in the region of the very north of the country, but a low speed in the rest of the territory, which justifies the low wind potential in the country. We also noticed that the forest is concentrated in the southernmost part of the country, mainly in the eastern and southern regions. After study, we concluded that it is possible to truncate thermal power plants with renewable energy plants. We proposed to trade the thermal power stations of additions by biomass plants. We also offer hybrid solar-biomass power plants for isolated power plants; and solar-wind hybrid power plants for the Far North region of the country, given its strong wind power potential. We also identified the sources of over-consumption and estimated the amount of energy that could be saved by developing an energy efficiency plan (10%) with the standard scenario that would take into account good energy-saving practices. We then estimated at 336,938 Kg the gain in CO2 emissions if we exchanged the thermal power stations into EnRs. Recommendations are then suggested for the successful implementation of an energy efficiency plan and implementation of renewable energy in Cameroon.

Utilization of unfiltered LPG-burner exhaust-gas emission using microalga Coelastrella sp.

This present study evaluated the potential of an untapped thermo-tolerant microalga, Coelastrella sp. FI69 as a promising candidate for scalability, CO2 bio-sequestration and biomass production. The microalga is preliminarily cultivated in elevated CO2 and finite NO3− growth habitat at outdoor field, and developed from lower to higher volume culture. The scaled up culture is eventually used as seed (in two different initial inoculum density, 0.01 and 0.1 g L−1 DW11Dry weight), in 200 L open rectangular pond (ORP22Open rectangular pond) reactor aerated with LPG combusted exhaust-gas streams (10 vol. % of CO2, 150 ppm of nitrogenous gases at atmospheric pressure and 30–40 °C) for 8–10 days for biomass production. The biomass production rate (BPR33Biomass production rate), maximum specific growth rate (μmax44Maximum specific growth rate), CO2 bio-fixation rate (CBFR55CO2 bio-fixation rate) and maximum biomass density (DB-max66Maximum biomass density) of the microalga culture achieved in the exhaust-gas aeration at 0.01 and 0.1 g L-1 are found as 0.065 ± 0.005 and 0.116 ± 0.011 g DW L-1, 0.467 ± 0.014 and 0.426 ± 0.007 day-1, 0.112 ± 0.008 and 0.202 ± 0.002 g CO2 L-1 day-1, and 0.529 ± 0.037 and 1.047 ± 0.022 g DW L-1, respectively. The harvested biomass had heating values of 20.2–21.7 MJ kg-1, contained 16–20% of lipids, and a theoretical methane potential of 586.2 mL CH4 gVS-1. From the biomass energy potential analysis, the microalga cultivation system, which designed to utilize the combustion-gases for biomass production, could reach a promising higher net energy ratio. This study mostly highlights the significance of using the strain for utilization of CO2-rich gas streams.

Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system

Wind energy is an increasing concern for wind farm administrators. Effective wind energy potential analysis and accurate forecasting can reduce the operating cost of wind farms. However, many previous studies have been restricted to analyses of wind energy potential analysis and wind speed forecasting, which may result in poor decisions and inaccurate power scheduling for wind farms. This study develops a wind energy decision system based on swarm intelligence optimization and data preprocessing, which includes two modules: wind energy potential analysis and wind speed forecasting. In the wind energy potential analysis module, the parameters of the Weibull distribution are optimized by a multiple swarm intelligence optimization algorithm, which can provide better wind energy assessment results. In the wind speed forecasting module, the data preprocessing method can effectively eliminate the noise of the original wind speed time series, maintain the characteristics of the wind speed data, and improve the accuracy of the forecasting model. The numerical results show that the wind energy decision system not only provides an effective wind energy assessment, but can also satisfactorily approximate the actual wind speed forecasting. Therefore, it can serve as an effective tool for wind farm management and decision-making.

Preliminary study of pellets Refuse Derived Fuel (RDF-5) based on Durian waste for feedstock in fast pyrolysis

The abundance of durian waste in Indonesia encourages the energy potential analysis of waste as a renewable source of energy. Fast pyrolysis had employed to convert the durian waste into gas and bio-oil. Peel and seed of durian (durian waste) was processed into pellets RDF-5 with the natural adhesive material. The RDF-5 in this study was cylindrical with 15 mm diameter and 50 mm length. The analysis of the energy potential of RDF-5 based on durian waste was conducted in different variations of the composition by using bomb calorimeter. Meanwhile, to explore the optimum parameters that affected on the fast pyrolysis process had conducted experiments in different variations of temperature 4000C-6000C. The results showed that the composition ratio between durian waste and natural adhesive material affected to the caloric value of RDF-5. Similarly, the quality and quantity of bio-oil and gas were affected by the temperature. When the temperature increases, the quality and quantity of bio-oil and gas also increases. This paper will be discussed the pyrolysis parameters on the fast pyrolysis process of RDF-5 based on durian waste in detail.

Integrated approach for the determination of an accurate wind-speed distribution model

The distribution model of wind-speed data is critical for the assessment of wind-energy potential because it reduces uncertainties in the estimation of wind power output. Thus, an accurate distribution model for describing wind-speed data should be determined before a detailed analysis of energy potential is conducted. In this study, information from several goodness-of-fit criteria, e.g., the R2 coefficient, Kolmogorov–Smirnov statistic, Akaike’s information criterion, and deviation in skewness/kurtosis were integrated for the conclusive selection of the best-fit distribution model of wind-speed data. The proposed approach integrates standardized scores and subjects each criterion to multiplicative aggregation. The approach was applied in a case study to fit eight statistical distributions to hourly wind-speed data collected at two stations in Malaysia. The results showed that the proposed approach provides a good basis for the selection of the optimal wind-speed distribution model. Furthermore, graphical representations agreed with the analytical results.

Wave Energy Potential Assessment and Feasibility Analysis of Wave Energy Converters. Case Study: Spanish Coast

Lopez-Gutierrez, J.S.; Esteban, M.D., and Negro, V., 2018. Wave Energy Potential Assessment and Feasibility Analysis of Wave Energy Converters. Case Study: Spanish Coast. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp.1291–1295. Coconut Creek (Florida), ISSN 0749-0208.Wave energy is one of the marine renewable energy types, essential to achieve a sustainable development. Coastal countries need to know the wave energy potential along their coasts, so its contribution to the future electricity market is estimated. Spain has noticeable variations in its average wave climate, so it is essential to analyse numerous locations. For research purposes, wave energy potential is estimated based on data from the 15 Spanish State Port buoys currently in operation in deep waters. Because these buoys were set up at different times, with some moored around 2005, the sample between 2005 and 2015 is studied with the purpose of comparing results. REDEXT buoys, arranged from highest to lowest wave energy potential, are: Villano-Sisargas (56.84 kW/m), Cabo Silleiro (53.50 kW/m), Estaca de Bares (53.36 kW/m), Cabo de Penas (39.66 kW/m), Bilbao-Vizcaya (39.09 kW/m), Gran Canaria (23.71 kW/m), Mahon (16.21 kW/m), Cabo de Begur (13.95 kW/m), Golfo de Cadiz (12.70 kW/m), Dragonera (10.16 kW/m), Cabo de Gata (8.43 kW/m), Cabo de Palos (8.17 kW/m), Tenerife Sur (6.93 kW/m), Tarragona (6.14 kW/m) and Valencia (5.42 kW/m). Some buoys were moored in the 1990s allowing an analysis to be made of how the average wave climate has changed over the last years. Furthermore, a study is undertaken analysing the feasibility of different wave energy converters, specifically Pelamis 750 kW, Oyster 300 kW, Aquabuoy 250 kW, and SSG 20,000 kW, in the 15 buoy locations. Energy production and the capacity factor of all devices for the 15 locations are calculated, obtaining as a result that the most suitable device for all the locations studied is Oyster, and the least suitable is SSG. All the results are shown in different comparative tables and figures, with a summary of the most emphasizing information in each buoy.

Flow of guineal river within the framework of local energy development

Although currently, more than 70% of the energy generated in Ecuador is of hydraulic origin, in the province of Manabi the source of basic generation is still thermal, with a high cost of kWh generated and with high rates of CO2 emissions to the atmosphere. However, in the territory of the province, several rivers can provide potential water energy that has could use in the generation of electricity. The work shows the results of the analysis of the Guineal River's energy potential, which has was carried out by applying the study of the river flow in 18 sampling points that are close to rural communities where the quality of the electric service has deficiencies. The results obtained were presented in tables that have can be used to generate projects aimed at introducing electricity generation technology, constituting a local development solution to the energy problem.

A software tool development study for solar energy potential analysis

Analysis of solar radiation on buildings at the urban or individual scale has an important share in the formation of a sustainable environment. The accuracy of solar radiation analysis in buildings depends on the holistic analysis of the buildings and the efficiency of the model. Traditional solar radiation analysis approaches use some technologies such as LIDAR, ALS, aerial photographs, satellite images, and MLS. These technologies are expensive and not suitable for non-existing structures. In this paper, a novel approach is presented to evaluate the potential direct and diffuse solar radiation aggregated on 3D structures which can be either in planning stage or completed at the urban or individual scale. During the study, Angstrom–Prescot model is validated for the target region, and it is used for estimating the global solar radiation potential at specific points. Dynamical changes of shadow areas on building surfaces affect solar energy estimations, different algorithms are required for precise radiation analyzes on 3D buildings. In the proposed approach, finite element method, back-face detection and ray-tracing algorithms are utilized to obtain more precise results. Thus, real-time shadow analysis and analysis of the desired sensitivity and time scale can be obtained using the proposed approach. In the last phase of the study, a nearby site with various building layout scenarios is designated as test bed. Each scenario is analyzed separately using the proposed approach and the results are presented in the paper. The proposed work-model creates an ideal tool for urban planners, architects, civil engineers and energy investors.

The research on spatial load forecasting model and method of electricity energy alternative based on cloud theory in distribution network

The research on electrical energy alternative mainly focus on alternative energy potential, expanding strategy and benefit analysis due to lack of historical data. This paper presents the total spatial load forecasting model in distribution network based on the proposed electrical energy alternative development coefficient which is generated by electricity energy objective issued by governments. To deal with fuzzy and uncertain in load forecasting for electric boiler and heater, the cloud theory and the regularity in the process of electrical energy alternative popularization are used. The component of electrical alternative spatial load forecasting is presented in sequence. The proposed method is verified in a typical case.

THE ANALYSIS OF PROBLEMS OF INCREASE OF INNOVATION RECEPTIVITY OF SUBJECTS OF ENERGY INDUSTRY TECHNOLOGIES RENEWABLE ENERGY

In the article the analysis of energy potential of Ukraine, the use of economic methods of management of the energy sector, development of "green" energy. Consider ways of improving the reliability and quality of power supply, the use of alternative and renewable energy sources, the impact of power quality on technical-economic indicators.Energy-efficiency concerns remain at the centre of world attention. The shortage of fuel and energy resources in the country, increasing prices and competition the most relevant and effective way to increase the efficiency of enterprises and the economy national economy as a whole is saving.One of the promising areas of energy saving and energy security in the conditions of the world increasing scarcity and growing cost of energy is the use of alternative and renewable sources of energy.The urgent problem of energy saving in Ukraine, one of the solutions is the use of non-traditional renewable energy technologies strongly requires the development of an approach to the analysis and evaluation of synergy opportunities in the study of the innovation projects of non-conventional renewable energy, leading to the creation of exogenous (external) and endogenous (internal) mechanisms, methods and activities to increase innovative susceptibility of the enterprises to non-traditional renewable energy technologies. Thus, a complex scientific and practical problem of increase of innovative receptivity of enterprises to non-traditional renewable energy technologies is important.

Renewable energy potential analysis in non-interconnected islands. Case study: Isla Grande, Corales del Rosario Archipelago, Colombia

Energy supply is one of the most critical problems that affect small and remote islands economic and social development. Alternative energy solutions are promising and favorable for small island purposes as they can be used in small-scale applications. In Colombia, most of the island territories lack energy access, and specific solutions need to be implemented for electricity supply. The Corales del Rosario Archipelago (Colombian Caribe) is a National Park of ecological importance due to its biodiversity and coral reef formation. It consists of 27 islands, from which Isla Grande is the larger one, and concentrates the human settlements (such as the Orika village, with about 500 inhabitants) and touristic activities. In this paper, we explore the energy situation and renewable energy potential in small non-interconnected islands around the world, to later focus on Colombian non-interconnected islands. As a case study, we evaluate the energetic situation in Isla Grande, and propose how renewable energy solutions could be implemented in the island. Primary and secondary information were collected from surveys with the local community, and supported by bibliography, and include information regarding energy demand and supply, hydrology (wave, tidal and sediment transport regimes) and meteorology conditions that could influence renewable energy resources (wind and solar radiation). Land coverage maps were constructed from satellite images, and used to delimitate shadow and no-shadow regions. A typical local house was selected for the energy demand calculations (8.05 kWh/day) and to propose renewable energy solutions. The hydrology analysis confirms no potential for wave and tidal energy solutions, while wind speed regimes are also not favorable for wind power implementation. Solar photovoltaic energy is, however, a promising solution for this island, where some individuals already have solar systems for self-consumption, while others use diesel generators. Individual home solutions should require about 11.6 m2 photovoltaic panels, while a system that could provide electricity to the whole community should require about 1590 m2.

Appraisement of geographic information systems as tool supporting energy management in the cities

Polish international obligations, in particular the European Union and European Commission directives, pose a real challenge for Poland to radically reduce emissions of atmospheric pollutions and significantly increase the usage of energy coming from renewable sources in the overall energy balance of the country. These goals seem to be difficult to achieve, nevertheless the development and implementation of innovative concepts is always a step forward. Nowadays the renewable energy sources seem to be the panacea for the problems of pollutions and energy saving. Many inventors and scientists work on concept of smart grid technology. The basic concept of this technology is producing energy directly in the cities. It seems to be a good idea but often in urban areas there is no place for new installations or cost of land is the barrier. Therefore to produce and manage energy directly in the cities, we have to take into account many aspects such as cost of land, location, available renewable energy sources, number of inhabitants, electrical network, terrain obstacles, and local plans. Here is the good place to use geographic information system technology which can help us to analyze all these issues and combine spatial, satellite, and statistical data to create one coherent concept of managing various sources of energy in the cities. The aim of this study is to consider opportunities of using geographic information systems in supporting process of energy management in the cities. It was taken into account many important elements: solar conditions, impact of cloudiness on value of solar radiation, spatial data, buildings and electrical network, obstacles, and number of inhabitants. It is all for identify the advantages and disadvantages of geographic information system in the analysis of solar energy potential in the city.

Wind energy potential analysis for Thailand: Uncertainty from wind maps and sensitivity to turbine technology

ABSTRACTRapid development of wind energy has been witnessed in Thailand. However, different wind resource maps (over land) have brought great uncertainty to wind energy planning. Here, four important mesoscale wind maps were considered: DEDP (2001), World Bank (2001), Manomaiphiboon et al. (2010) of JGSEE, and DEDE (2010). The wind maps were first harmonized to a common grid at 100 m and then compared. The earlier wind maps (DEDP and World Bank) are shown to represent the lower and upper limits of predicted speed, respectively, while JGSEE and DEDE tend to be more moderate with predictions statistically closer to observations. A consolidated wind map was constructed based on their median and shown to have the best prediction performance. It was then used for the technical potential analysis, in which three large (2-MW) turbine models (two conventional and one designed for low wind speed) were considered. By GIS techniques, any land areas not feasible for large wind turbines were excluded, and the corresponding overall onshore technical potential ranges between 50 and 250 GW, depending on map and turbine model. Considering only economically feasible turbines (with capacity factors of 20%) and the median-based map, the final technical potential equals 17 GW when using the low-wind-speed model but is reduced to 5 GW with the conventional models, adequately meeting the national wind energy target of 3 GW by the year 2036. The results suggest a strong sensitivity of estimated technical potential to turbine technology and a suitability of low-wind-speed turbines for wind conditions in Thailand.

Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

This paper investigated the wind energy potential by analysing a certain amount of gathered 10-min measured data at four stations located at coastal sites in Malaysia, i.e., Kudat, Mersing, Kijal, and Langkawi. The wind data are collected from a total of four new wind measurement masts with sensors mounted at various heights on the tower. The measured data have enabled the establishment of wind resource maps and the power law indexes (PLIs) analysis. In addition, the dependence of PLI upon surface temperature and terrain types is studied, as they are associated to the form of exponential fits. Moreover, the accuracy of exponential fits is assessed by comparing the results with the 1/7 law via the capacity factor (CF) discrepancies. In order to do so, the wind turbine with a hub-height similar to the maximum height of the measured data at each site is selected to simulate energy production. Accordingly, the discrepancy of CF based on the extrapolated data by employing 1/7 laws and exponential fits, in spite of being computed using measured data, is determined as well. Furthermore, the large discrepancy of the wind data and the CF, which has been determined with the application of 1/7, is compared to the exponential fits. This is because; discrepancy in estimation of vertical wind speed could lead to inaccurate CF computation. Meanwhile, from the energy potential analysis based on the computed CF, only Kudat and Mersing display a promising potential to develop a medium capacity of wind turbine power, while the other sites may be suitable for wind turbines at a small scale.

Super-insulate or use renewable technology? Life cycle cost, energy and global warming potential analysis of nearly zero energy buildings (NZEB) in a temperate oceanic climate

There are numerous strategies available to design and construct a low energy or nearly zero energy building (NZEB). However, the design strategy for a building depends on a high number of factors including location, climate, cost, available resources, etc. For instance, for countries like Ireland, which have a temperate oceanic climate, a key to achieving NZEB is a high thermal and air tightness performance of the building envelope, installing highly efficient space and water heating systems, and utilising renewable technologies for energy and heat generation. The challenge is to find the best combination of design strategies that would tackle the energy performance problems of a particular building. For example, is it better to design a super-insulated building with minimum heating requirements, or provide less insulation but install a large amount of renewable energy sources?This paper presents the outcomes of a number of case study buildings in Ireland, which focus on the life cycle cost and environmental analysis (using energy and global warming potential as indicators) of NZEBs using various heat sources, such as a gas boiler, biomass boiler, a domestic gas fired combined heat and power unit, heat pump and renewable technology. With the de-carbonisation and increased efficiency of the electricity grid, the low global warming potential (GWP) emissions of biomass fuels and the depletion of fossil fuels, future buildings should be (i) designed and constructed to be super-insulated with high air-tightness performance resulting in minimum heating requirements and (ii) operate with heating systems that have low impact on the natural environment, such as a biomass boiler or heat pump.

Analysis of the Energy Potential of Renewable Energy Sources Egypt

The article reviews the current energy balance of Egypt's resources and sources of consumption, the main factors affecting the structure of the energy balance, the predicted trends of their changes in the short term, the main tasks of the electric power industry of Egypt and the ways of their solution. Based on the analysis of energy potential of renewable energy sources, the proposed types and locations of installations of renewable energy those have the greatest prospects for practical application.

Molecular electrostatic potential analysis of non-covalent complexes

Ab initio MP4/Aug-cc-pvDZ//MP2/6-311 ++g(d,p) level interaction energy (Eint) and molecular electrostatic potential analysis (MESP) of a large variety of non-covalent intermolecular complexes, viz. tetrel, chalcogen, pnicogen, halogen, hydrogen, dihydrogen and lithium bonded complexes have been reported. The electronic changes associated with the non-covalent complex formation is monitored in terms of MESP minimum (V m i n ) in the free and complexed states of the donor and acceptor molecules as well as in terms of MESP at the donor and acceptor atoms (V n ) of the free monomers and complexes. The change in V min or V n on the donor molecule (ΔV min(D) or ΔV n(D)) during complex formation is proportional to its electron donating ability while such a change on the acceptor molecule (ΔV min(A) or ΔV n(A)) is proportional to its electron accepting ability. Further, the quantities ΔΔV min=ΔV min(D) −ΔV min(A) and ΔΔV n=ΔV n(D) −ΔV n(A) have shown strong linear correlations with Eint of the complex (Eint values fall in the range 0.7 to 46.2 kcal/mol for 54 complexes) and suggest that the intermolecular non-covalent interactions in a wide variety of systems can be monitored and assessed in terms of change in MESP due to complex formation in the gas phase. With the incorporation of solvent effect in the calculation, charged systems showed significant deviations from the linear correlation. The MESP based analysis proposes that the large variety of intermolecular non-covalent complexes considered in this study can be grouped under the general category of electron donor-acceptor (eDA) complexes. The change in electron distribution during the formation of non-covalent complexes by hydrogen, dihydrogen, lithium, tetrel, chalcogen, pnicogen and halogen bonding has been analyzed on the basis molecular electrostatic potential (MESP) features of the complex and monomers; a strong linear correlation between MESP parameter and interaction energy is obtained.

Study of ocean and wind energy potential with R: an innovative experience in the classroom

Abstract The Engineer School of Eibar initiated the Grade of Engineering in Renewable Energies four years ago. This pioneering educational project has shown many challenges to the teachers of the new grade. Among the different software skills used in this project, R programming language has been a very important one because of its capacity for spatio-temporal analysis and graphical visualization of wind energy and wave energy potential. A quarter of the subject's program in Wind Energy and Ocean Energy has been used via Problem Based Learning for the application of statistical calculus with R. The aim of this contribution is to show some paradigmatic problems solved by the students and the results obtained. Finally, the opinion of the students about the use of R and its learning potentiality have been gathered and analysed.

Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq

Analysis of wind speed data and annual wind energy potential at three selected sites in Iraq has been investigated in this study. The wind speed data was collected from the Weather Underground Organization (WUO) at stations elevation. Extrapolation of stations elevations used to estimate the wind velocities at 60 m, 90 m, and 120 m via wind shear law. The objectives were to analysis of wind speed data and to assess the wind energy potential for the selected sites. Computer code for MATLAB software has been developed and written to solve mathematical model. Results in the form of the measured and Weibull estimated of monthly and annual average of wind velocities ( , wind shear, wind velocity carrying maximum energy ( , most probable wind velocity ( , probability density function (PDF), cumulative distribution function (CDF), monthly and annual wind power density (WPD) and wind energy density (WED) were presents. At stations elevation, the (WED) was the best for Basrah, Amarah, and Nasiriyah respectively and the selected sites are suitable for off grid applications. While at selected heights it was best for Basrah, Nasiriyah, and Amarah respectively. Basrah at (60, 90, 120 m) and Nasiriyah at (120) are acceptable for connecting to power grid.

Feasibility of tall fescue, cocksfoot and reed canary grass for anaerobic digestion: Analysis of productivity and energy potential

Grass biomass is a suitable feedstock for biogas production; however, this type of biomass in countries with a colder climate is too low. More research findings on the species of grasses and growing technologies will likely reveal the compatibility and interactions in an effort to ensure the required high-quality yield and the greatest potential for energy over the years to contribute to the development of biomass use. This study presents the results of experiments conducted on Endocalcari-Epihypogleyic Cambisol (CMg-p-wcan) to evaluate the biomass yield, quality and bioenergy potential of perennial grasses. Three perennial grasses—tall fescue (Festuca arundinacea Schreb.), cocksfoot (Dactylis glomerata L.) and reed canary grass (Phalaris arundinacea L.)—were selected for biogas production. Different growing technologies were used to evaluate the influence of fertilisation (N90 and N180) and the cutting frequency (two and three cuts per growing season) on the biomass productivity and energy potential. The results of a two-year experiment suggest that the biomass yield and energy potential depend on grass species and growing technology. The highest biomass yield and energy potential was achieved for tall fescue harvested twice per season and for the first time at the flowering stage.