Techno-economic and environmental analysis of grid connected hybrid wind/photovoltaic/biomass system for Marmara University Goztepe campus

Aykut, Ercan; Terzi, Umit Kemalettin

doi:10.1080/15435075.2020.1821691

Cited by 36 publications

(15 citation statements)

References 14 publications

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“…As the three-bus test system is used to show the effectiveness of using MCT in the reliability study of a grid-tied PV system, the dimension of the transition matrix is 2 3 x 2 3 , in this theebus system. In the case of a large interconnected system with n-number of generators, the dimension will be 2 n x 2 n that will make the optimization process complicated in addition to the extended time taken to complete the optimization process.…”

Section: B Markov Process Techniquementioning

confidence: 99%

“…The failure and repair rates for PV plants for this power capacity are 0.1 failure/yr and (1/30) hr, respectively [47][48]. The 200 PV plants are required to construct the proposed PV system as shown in table (3). The system has 232 generation units and PV plants; therefore, the probability failure number is equal to 2 232 (infinity number).…”

Section: A One Pv System Installation (Ieee_eps_24 Bus_1_pvmentioning

confidence: 99%

“…Researchers in the renewable energy field focus on selecting the type, size and location of each source from the available renewable energy sources (RESs), studying the possibility of increasing the RESs capacities and penetration into the classical electrical power systems to reduce both the electricity production cost and the pollution problems beside increasing the system reliability and stability. There are many types of RESs such as solar PV, wind, fuel cell, and biomass, to name a few, that have been used a lot in generating electric power for on-grid and off-grid applications [1][2][3]. Some PV off-grid applications for charging electric vehicle batteries with wireless and wired mode [4][5].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

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Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation's system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

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Section: B Markov Process Techniquementioning

confidence: 99%

Section: A One Pv System Installation (Ieee_eps_24 Bus_1_pvmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

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“…A model with FLC combined with cost-benefit analysis is created to assess the real economic benefits of load schedule. In cost-benefit analysis, economic comfort is associated with matching generation and consumption patterns for all PV system sizes [69][70][71]. A multi collector-based online fuzzy coordination algorithm is presented for charging electric vehicles.…”

Section: Scheduling and Optımızationmentioning

confidence: 99%

Demand-Side Energy Management in Smart Buildings: A Case Study

HASANOVA¹,

Neşe²

2021

European Journal of Technic

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Electrical energy is indispensable in our daily life with the developing technology. The most important feature is reliable and sustainable transmission of electrical energy to consumers is to provide the supply-demand balance in real-time. The ever-increasing demand for electrical energy, gradual depletion of traditional resources used to meet demand, and increasing dependence on foreign sources resulted in diverse electricity generation plants. As a result of this diversity, with the increase in the importance of electricity storage systems and awareness of energy-saving, Demand Side Management (DSM) gains great importance in ensuring supply-demand balance. DSM reduces costs by scheduling consumption instead of increasing generation to balance supply and demand. Residences constitute a large part of energy consumption worldwide, so DSM applications in buildings increase efficient usage of energy. Various management strategies can be used to save energy depending on the building type. In this article, an overview of Energy Management System (EMS) strategies to increase energy efficiency is presented. Then a case study is carried out in a residential model in Matlab/Simulink environment. The electrical devices were controlled with a Fuzzy Logic Controller (FLC), taking into account comfort, cost, and Demand Response (DR). In addition, Renewable Energy Resources (RES) to demonstrate their contribution were modelled and integrated into the system. Finally, case studies were conducted, and a comparative analysis of obtained results was carried out.

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“…Many different kinds of applications can be simulated and analyzed in environmental and techno economical aspect. In Turkey, the HOMER software which is very useful from many aspects aforementioned should be introduced to users related to the concept of energy and of course, involved into the courses at technical universities in order for engineering students both to learn how various energy applications can be performed and to have considerable experiences about the real-world energy management problems and also to be ready as an engineer of future for the tough conditions of the business life [33,34].…”

Section: -9487mentioning

confidence: 99%

Energy Management Software for Students in Engineering Education

Atis¹

2020

European Journal of Technic

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Energy demand of a country should be particularly supplied by indigenous energy sources; otherwise, the country would become an energy importing country and dependent on energy-rich countries. In order to benefit from the current renewable energy resources efficiently, many engineers who are specialized on energy management (economic, planning, organization and optimization) are strongly required to be educated with the support of today's advance technology. In this context, various engineering disciplines associated with the concept of energy have been established in many universities around the world as well as in Turkey. In this study, Hybrid Optimization of Multiple Energy Resources (HOMER) software which is very useful for modeling renewable and conventional technologies in various energy management applications and also easy to use, is introduced in detail and presented to today's and future's energy engineers. In order to better understand how the HOMER is efficiently applied, a real-time application for Marmara University Technical Education Faculty which was discussed and is presented in detail.

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Techno-economic and environmental analysis of grid connected hybrid wind/photovoltaic/biomass system for Marmara University Goztepe campus

Cited by 36 publications

References 14 publications

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Demand-Side Energy Management in Smart Buildings: A Case Study

Energy Management Software for Students in Engineering Education

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