The Experts below are selected from a list of 1818 Experts worldwide ranked by ideXlab platform
M. H.m Hamzah - One of the best experts on this subject based on the ideXlab platform.
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Assessment of Wind Energy Potential Based on Metar Data in Malaysia
International Journal of Renewable Energy Research, 2013Co-Authors: Aliashim Albani, Mohd Zamri Ibrahim, M. H.m HamzahAbstract:Abstract- Wind energy is one of the fastest developing renewable energy technology. This is due to the vast resource of wind and also a green technology which does not emit any pollutants to the environment. The type of wind data used in this study is METAR data with duration from year 2005 till 2011. In peninsular Malaysia, the METAR data are available at Kota Bharu, Johor Bharu, Langkawi and Kuala Terengganu, while in the state of Sabah and Sarawak are at Sandakan, Miri, Kota Kinabalu, Kuching and Kudat. The wind speed and direction is analyzed using WAsP to generate wind rose chart and weibull distribution together with the wind power density . For wind power analysis, WindPRO software is used to determine annual energy production through simulation by using a single 22 kW rated power wind turbine as well as the capacity factor and Full Load Hour. The result for wind data at 10 m height indicated that Kudat has the greatest wind energy potential in Malaysia with the highest wind power density of 21 W/m 2 produced and Weibull scale parameter c of 2.8 m/s with shape parameter k of 1.74. The site also has the highest annual energy production at 14.6 MWh/year as well as highest capacity factor and Full Load Hour at 7.6% and 661 Hours/year respectively.
Daniel Stetter - One of the best experts on this subject based on the ideXlab platform.
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Enhancement of the REMix energy system model: Global renewable energy potentials , optimized power plant siting and scenario validation
Dissertation, 2012Co-Authors: Daniel StetterAbstract:As electricity generation based on volatile renewable resources is subject to fluctuations, data with high temporal and spatial resolution on their availability is indispensable for integrating large shares of renewable capacities into energy infrastructures. The scope of the present doctoral thesis is to enhance the existing energy modelling environment REMix in terms of (i.) extending the geographic coverage of the potential assessment tool REMix-EnDaT from a European to a global scale, (ii.) adding a new plant siting optimization module REMix-PlaSMo, capable of assessing siting effects of renewable power plants on the portfolio output and (iii.) adding a new alternating current power transmission model between 30 European countries and CSP electricity imports from power plants located in North Africa and the Middle East via high voltage direct current links into the module REMix-OptiMo. With respect to the global potential assessment tool, a thorough investigation is carried out creating an Hourly global inventory of the theoretical potentials of the major renewable resources solar irradiance, wind speed and river discharge at a spatial resolution of 0.45°x0.45°. A detailed global land use analysis determines eligible sites for the installation of renewable power plants. Detailed power plant models for PV, CSP, wind and hydro power allow for the assessment of power output, cost per kWh and respective Full Load Hours taking into account the theoretical potentials, technological as well as economic data. The so-obtined tool REMix-EnDaT can be used as follows: First, as an assessment tool for arbitrary geographic locations, countries or world regions, deriving either site-specific or aggregated installable capacities, cost as well as Full Load Hour potentials. Second, as a tool providing input data such as installable capacities and Hourly renewable electricity generation for further assessments using the modules REMix-PlasMo and OptiMo. The plant siting tool REMix-PlaSMo yields results as to where the volatile power technologies photovoltaics and wind are to be located within a country in order to gain distinct effects on their aggregated power output. Three different modes are implemented: (a.) Optimized plant siting in order to obtain the cheapest generation cost, (b.) a minimization of the photovoltaic and wind portfolio output variance and (c.) a minimization of the residual Load variance. The third fundamental addition to the REMix model is the amendment of the module REMix-OptiMo with a new power transmission model based on the DC Load flow approximation. Moreover, electricity imports originating from concentrating solar power plants located in North Africa and the Middle East are now feasible. All of the new capabilities and extensions of REMix are employed in three case studies: In case study 1, using the module REMix-EnDaT, a global potential assessment is carried out for 10 OECD world regions, deriving installable capacities, cost and Full Load Hours for PV, CSP, wind and hydro power. According to the latter, photovoltaics will represent the cheapest technology in 2050, an average of 1634 Full Load Hours could lead to an electricity generation potential of some 5500 PWh. Although CSP also taps solar irradiance, restrictions in terms of suitable sites for erecting power plants are more severe. For that reason, the maximum potential amounts to some 1500 PWh. However, thermal energy storage can be used, which, according to this assessment, could lead to 5400 Hours of Full Load operation. Onshore wind power could tap a potential of 717 PWh by 2050 with an average of 2200 Full Load Hours while offshore, wind power plants could achieve a total power generation of 224 PWh with an average of 3000 Full Load Hours. The electricity generation potential of hydro power exceeds 3 PWh, 4600 Full Load Hours of operation are reached on average. In case study 2, using the module REMix-PlaSMo, an assessment for Morocco is carried out as to determine limits of volatile power generation in portfolios approaching Full supply based on renewable power. The volatile generation technologies are strategically sited at specific locations to take advantage of available resources conditions. It could be shown that the cost optimal share of volatile power generation without considering storage or transmission grid extensions is one third. Moreover, the average power generation cost using a portfolio consisting of PV, CSP, wind and hydro power can be stabilized at about 10 €ct/kWh by the year 2050. In case study 3, using the module REMix-OptiMo, a validation of a TRANS-CSP scenario based upon high shares of renewable power generation is carried out. The optimization is conducted on an Hourly basis using a least cost approach, thereby investigating if and how demand is met during each Hour of the investigated year. It could be shown, that the assumed Load can safely be met in all countries for each Hour using the scenario's power plant portfolio. Furthermore, it was proven that dispatchable renewable power generation, in particular CSP imports to Europe, have a system stabilizing effect. Using the suggested concept, the utilization of the transfer capacities between countries would decrease until 2050.
Aliashim Albani - One of the best experts on this subject based on the ideXlab platform.
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Assessment of Wind Energy Potential Based on Metar Data in Malaysia
International Journal of Renewable Energy Research, 2013Co-Authors: Aliashim Albani, Mohd Zamri Ibrahim, M. H.m HamzahAbstract:Abstract- Wind energy is one of the fastest developing renewable energy technology. This is due to the vast resource of wind and also a green technology which does not emit any pollutants to the environment. The type of wind data used in this study is METAR data with duration from year 2005 till 2011. In peninsular Malaysia, the METAR data are available at Kota Bharu, Johor Bharu, Langkawi and Kuala Terengganu, while in the state of Sabah and Sarawak are at Sandakan, Miri, Kota Kinabalu, Kuching and Kudat. The wind speed and direction is analyzed using WAsP to generate wind rose chart and weibull distribution together with the wind power density . For wind power analysis, WindPRO software is used to determine annual energy production through simulation by using a single 22 kW rated power wind turbine as well as the capacity factor and Full Load Hour. The result for wind data at 10 m height indicated that Kudat has the greatest wind energy potential in Malaysia with the highest wind power density of 21 W/m 2 produced and Weibull scale parameter c of 2.8 m/s with shape parameter k of 1.74. The site also has the highest annual energy production at 14.6 MWh/year as well as highest capacity factor and Full Load Hour at 7.6% and 661 Hours/year respectively.
Li Xiuzh - One of the best experts on this subject based on the ideXlab platform.
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Study on Wind Power Grid Price Based on Power Coefficient
Guangdong Electric Power, 2014Co-Authors: Li XiuzhAbstract:Aiming at stability problem caused for reason of unstable output power of wind power station connecting grid,this paper proposes a kind of wind power price provision and system method based on correctional benchmarking price and power coefficient.Firstly it uses price and equivalent Full Load Hour as variable parameters,takes internal rate of return as target function and rectifies current benchmarking price by using sensible analysis.Secondly,it designs evaluation index which is able to reflect on-grid power smoothness and veracity of real-time power forecast based on maximum rate of change of wind power on-gird power fluctuation in restrictive one minute and 10 minute.Meanwhile,it discusses establishment of pricing model on the basis of power coefficient.By example analysis,it verifies effectiveness and flexibility of proposed method.
Tartarini P. - One of the best experts on this subject based on the ideXlab platform.
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Hybridization of solar power plants with biogas from anaerobic digestion: A modeled case study
'AIP Publishing', 2019Co-Authors: Pedrazzi S., Masetti F., Allesina G., Tartarini P.Abstract:This work shows the numerical simulation of a hybrid renewable power plant composed of a Concentrated Solar Plant (CSP) with molten salt storage sub-system, a Rankine steam cycle power plant and a biomass anaerobic digester. Biogas produced by the digester is used as fuel in the boiler of the steam cycle coupled with methane. "Greenius" software has been used to simulate the CSP system aimed to satisfy an electrical power demand of the city Messaad, Algeria. Results concerning electrical energy produced, biogas and methane consumption was used with CAPEX and OPEX costs of the plant to calculate the Levelized Cost of the Electrical energy produced (LCoE). Several simulation were done varying the size of the solar field and of the thermal storage in order to find the compromise configuration with an high renewable energy production, a low methane consumption and a low LCOE. Simulations show that the CSP configuration with 2.07 of Solar Multiple (SM) and 9 of Full Load Hour (FLH) result in a low LCOE value (97.32 \u20ac/MWh), high annual system efficiency (11.51%), low methane share (8.73%) and low dumped heat ratio (10.22%)
