Design specifications and application of a100 kWc(700 kWth) cogeneration solar power plant

Moustafa, S.; Hoefler, W.; El-Mansy, H.; Kamal, A.H.M.; Jarrar, D.; Hoppman, H.; Zewen, H.

doi:10.1016/s0038-092x(84)80043-2

Cited by 25 publications

(4 citation statements)

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“…With an increasing urban population, as well as demand from communities off the grid, it is practical to consider options for small-scale power generation. Distributed concentrated solar thermal power studies have been reported for complex parabolic dish [3] and heliostat field [4] concentration systems, which offer high concentration ratios but require two-axis tracking. Single-axis tracking technologies, such as linear Fresnel reflectors (LFR) and parabolic trough collectors (PTC) offer modest concentration ratios at reduced complexity and cost [5].…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Analyses of Single Brayton and Combined Brayton–Rankine Cycles for Distributed Solar Thermal Power Generation

Dunham¹,

Lipiński

2013

Journal of Solar Energy Engineering

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This paper reports theoretical efficiencies of single Brayton and combined Brayton-Rankine thermodynamic power cycles for distributed solar thermal power generation. Thermodynamic analyses are conducted with a nominal heat input to the cycle of 150 kW and component parameters for a 50 kW e gas microturbine for selected working fluids including air, Ar, CO 2 , He, H 2 , and N 2 for the Brayton cycle and for the topping cycle of the combined system. Cycle parameters including maximum fluid temperature based on solar concentration ratio, pressure loss, and compressor/turbine efficiencies are then varied to examine their effect on cycle efficiency. C6-fluoroketone, cyclohexane, n-pentane, R-141b, R-245fa, and HFE-7000 are examined as working fluids in the bottoming segment of the combined cycle. A single Brayton cycle is found to reach a peak cycle efficiency of 15.31% with carbon dioxide at design point conditions. Each Brayton cycle fluid is examined as a topping cycle fluid in the combined cycle, being paired with six potential bottoming fluids, resulting in 36 working fluid configurations. The combination of the Brayton topping cycle using carbon dioxide and the Rankine bottoming cycle using R-245fa gives the highest combined cycle efficiency of 21.06%.Downloaded From: http://solarenergyengineering.asmedigitalcollection.asme.org/ on 09/21/2013 Terms of Use: http://asme.org/terms

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Section: Introductionmentioning

confidence: 99%

Thermodynamic Analyses of Single Brayton and Combined Brayton–Rankine Cycles for Distributed Solar Thermal Power Generation

Dunham¹,

Lipiński

2013

Journal of Solar Energy Engineering

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“…Parsons (1984) introduces the concept of induction generators to cogeneration as an alternative to synchronous generators and brings out its economic advantages. Mouostafa et al (1984) offers a new design for a solar power plant in Kuwait. At the time, feasibilities of different technologies have been evaluated.…”

Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Prediction of Self-produced Energy

Altay

Turkoglu

2015

Sustainable Future Energy Technology and Supply Chains

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The need for energy has been aggressively increasing since the industrial revolution. An exponential growth of industrial and residential power use is encountered with the technological revolution. Cogenerated and self produced energy is a solution that allows the reuse of heat produced, decreases transmission investments, and reduces carbon emissions and decreases dependency on energy resource owners. The mass production sites, health centers, big residential sites and more can use the system. In this chapter, the focus is given to industrial autoproducers. Power market balance is based on the day-ahead declarations; therefore, the production is to be planned in detail to avoid penalties. A recurrent Artificial Neural Network model is constructed in order to predict the day ahead energy supply. The model considers energy resource price, demand from multiple sites, production cost, the amount of energy imported from the grid and the amount of energy exported to the grid. In order to achieve the energy production rate with the least error rate possible, an energy demand forecasting model is constructed for a paper producing company, using a Nonlinear Autoregressive Exogenous Model (NARX) network implemented in Matlab. Three parameters of the forecasting model are tuned using the Particle Swarm Optimization (PSO) algorithm: the number of layers, the number of nodes in hidden layers and the number of delays in the network. Error level is measured using the Minimum Absolute Percentage Error between the predictions and the actual output. Results indicate that NARX is an appropriate tool for forecasting energy demand and the algorithm yields better results when the system parameters are tuned.

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“…As proven by a growing literature on this subject, efforts were directed on developing and refining solar energy based cogeneration technologies, in particular in geographical areas afflicted by water scarcity. Cogeneration solar thermal power plants, using point-focusing solar receivers equipped with a tracking system, represent a system potentially well-suited to meet the energy demand of small communities (e.g., 100 kW el /700 kW th capacities) [119,120].…”

Section: Dish Stirling Solar Based Cogeneration Systemmentioning

confidence: 99%

“…Large scale solar thermal power plants are potentially suitable to cover small communities' energy needs (e. g., 100 kW el /700 kW th )[119,120] À Energy surplus exported to the grid valorised by dedicated incentives À AC electricity -no power inverter required, reduction of grid connexion costs, system reliability [121] À Modular design, easily (dis) assembled, quiet running, effective solar tracking system Technological innovation is progressively increasing the effectiveness of small size turbines À Biogas from manure can be used for combustion À Heat recovery from exhaust[125] À Limited emissions compared to conventional power plants [128,129] À Light weight À 45,000 h Operating lifespan [130] À Onsite electricity provision close to the point of use [124] À Integration with microgrids [126] À Hybridisation with solid oxide fuel cells systems can further improve energy conversion efficiencies [133] À Decentralised MV: 'on demand' ventilation in each room [139] À Architectural integrationdecentralised units can be contained within the window frame À Heat recovery, especially with rotatory heat exchanger À High energy savings, especially in retrofitted buildings [141] À Centralised MV: ductwork can be adjusted to the building construction type À Water coils can be integrated for air heating in winter and air dehumidification and cooling in summer À Installation in existing buildings: noise generation and negative pressure within the zones might rise [141] À A supplementary electrical resistance (post-heating in winter) and a heat exchanger bypass (to avoid air heating in summer) necessary À Optimised for low energy housing À Variety of versions are available from an increasing number of manufacturers À Packaged configuration: air exploited…”

mentioning

confidence: 99%