Sustainable energy system design with distributed renewable resources considering economic, environmental and uncertainty aspects

Abdullah, M. A.; Muttaqi, Kashem M.; Agalgaonkar, Ashish P.

doi:10.1016/j.renene.2014.12.044

Cited by 61 publications

(21 citation statements)

References 12 publications

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“…The results have shown that the proposed strategy offers a soft or weak output power against the continuous changes demanded by the load. On [65] greenhouse effect gasses emissions by non-conventional technologies have been reduced to the minimum by using the distributed energetic resources. However, no studies have been made yet upon the quantitative and exact way, on which are the environmental issues and its repercussion to all energetic chain pillars.…”

Section: Mg Operationmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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Abstract-Humanity's growing energetic demand and the need for the electric fluid coming to not interconnected zones in the world has brought with it the deployment of a huge amount of researches related to the distributed generation, the distributed energetic resources, and the smart networks. Those have been approached as mechanisms for global growth and energetic supply. Thus, this article details the researches led by a significant number of experts who have definitely generated the fundamental pillars of evolution regarding network. Moreover, when it comes to its core, where the trend, the control and the operation of the new generation schemes, they provide the change from a traditional energetic system to a sustainable energetic system. Keywords -Algorithms, renewable energy sources, distributed generation, artificial intelligence, microgrid. I. INTRODUCTION Nowadays, traditional energy systems face different types of issues such as the high amount of carbon dioxide (CO2), high generation costs, network tension variations, overloaded lines, dynamic stability issues, and service interruptions.[1], [2]. In order to face these issues, an innovative and very common approach is the generation of electric energy at a local level. This type of energy generation is called Distributed Energy (DG) and the resources that provide it are called Distributed Energetic Resources (DER) [3], [4]. In fact, due to the energy generation in proximity to the load centers, the distributed generation resources would solve the demand over the transmission networks. Today, different countries are trying to increase the penetration of distributed generation in their electronic networks. Each country attempts to use in the most appropriate way the distributed energetic resources based on its resources and conditions. Unfortunately, each DER type has its inconveniences. For example, a photovoltaic system cannot generate electricity for a continued 24h period, because its energetic source is the sun, which does not provide radiation at all times. The same applies to wind power, because the wind currents are not constant, and therefore, the required speed is not fully available for the system's continued operation. Typically, intermittence is a disadvantage of the DG resources. That is why there's a need for integrating the DER which is crucial when providing high-quality electricity and satisfying the system's demand. [5], [6].The DERs are classified into two categories: Dispatchable and not dispatchable. The first one is related to resources which output potency can be adjusted by the network operators. The second one indicates that the generated energy of the DERs cannot be adjusted by the network operators. For this last category, a particular example would the wind and solar generation units.The Microgrids (MG) are an integrated way of DER, where the loads and storage units are installed for supplying energy to small communities such as universities, hospitals, schools, towns, paths, shopping malls, as well as industrial projects. T...

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Section: Mg Operationmentioning

confidence: 99%

Distributed Energetic Resources: Trend, Control and Operation

Hernández¹,

Gómez²,

Rivas³

2017

IJET

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“…The introduction of a sustainable and green energy infrastructure as well as the associated reduction of emissions caused by fossil energy generation has been focused by industry-oriented nations worldwide during recent years as a reaction to global climate change [1]. This results in a steadily rising growth-rate of renewable energy in Europe [2].…”

Section: Introductionmentioning

confidence: 99%

Simulation Based Investigation of the Impact of Information Sharing on the Offshore Wind Farm Installation Process

Quandt

Beinke

Alla

et al. 2017

Journal of Renewable Energy

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In the recent decades, the introduction of a sustainable and green energy infrastructure, and, by this, the reduction of emissions caused by fossil energy generation, has been focused on by industry-oriented nations worldwide. Among the technologies of renewable energy generation, wind energy has the highest deployment rate, due to the high wind resource availability and the high technology maturity reached mainly by the onshore installation of wind turbines. However, the planning and the installation of offshore wind farms are a challenging task, because of harsh weather conditions and limited resource availability. Due to the current practice of decentralised information acquisition by the supply chain partners, we investigate the impact of sharing information on the installation process of offshore wind farms by means of a simulation model. Therefore, relevant information items will be identified in order to improve the installation process.

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“…Sustainability of the regional energy systems have been analysed in a period of the last decade from different point of views: sustainable energy supply systems [32,33]; sustainability of the energy sector in a particular region [34]; integration of renewable energy into the regional energy sector-as a tool for the implementation of sustainable development strategies [17,35]; the management of energy demand [36][37][38][39][40] and sustainable energy consumption [41,42].…”

Section: Introductionmentioning

confidence: 99%