Probabilistic assessment of photovoltaic (PV) generation systems

Maghraby, H.A.M.; Shwehdi, M.H.; Al-Bassam, G. K.

doi:10.1109/59.982215

Cited by 86 publications

(28 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hardware design mainly focuses on how to stabilize the harvested energy to fulfill estimated energy requirement, which may be obtained from the approximation. There are many studies on hardware improvements, such as the photovoltaic (PV) power system sizing for solar panel [22][23][24]. In [22], authors propose a simple method for sizing stand-alone photovoltaic systems by using loss of load probability and load profile to represent the desirable reliability and traffic demand, respectively.…”

Section: Energy Modelingmentioning

confidence: 99%

Introduction

Zheng

Cai

Shen

2013

SpringerBriefs in Computer Science

View full text Add to dashboard Cite

The growing user demand and the expansion of wireless communications have led to a tremendous growth of energy consumption in wireless access. Due to the limited battery capacity of mobile devices and the increasing cost of energy from the electricity grid, energy efficiency has become one of the most essential research issues in wireless communications. Many studies have investigated how to minimize energy consumption to extend the network lifetime [1-3] or maximize energy efficiency or energy utilization [4-6] of a communication network powered by traditional energy.With the increasing concern on environmental protection and the preservation of natural resources, green energy sources, which refer to the energy harvested from nature resources and can be replenished without compromising the energy requirement of future generations like solar, wind, tides, etc., are anticipated to be widely used in next-generation wireless networks. The sustainable and eco-friendly characteristics can help to fulfill the ever-increasing user demand, while reducing the detrimental effects of conventional energy production. To promote sustainable wireless networking, communication industry has launched a few projects, e.g., Green Wireless Communication by King Abdullah University of Science and Technology [7], and WindFi: Renewable-Energy Wireless Base Stations by Steepest Ascent Ltd. [8]. In the field of wireless communication networks, green wireless devices, i.e., wireless devices like base station (BS), access point (AP) and relay node (RN) powered by green energy as shown in Fig. 1.1, have been developed to replace the traditional wireless devices. It was reported that wireless backbone devices, such as BSs, consume over 80 % of total energy in communication networks [9]. The deployment of green wireless devices in wireless backbone can significantly save the energy consumption and sustain the network operations. Therefore, it is anticipated that green wireless devices will be widely deployed to construct sustainable wireless network, i.e., wireless networks powered by green energy. Nowadays, many companies are upgrading existing conventional devices with wireless devices powered by green energy. For instance, Huawei [10] has extensively deployed green energy solution to power BSs in China, Africa, and the Middle East region; Sprint sets the goal that 10 % of its total electricity will be supported by renewable sources by 2017 [11].

show abstract

Section: Energy Modelingmentioning

confidence: 99%

Introduction

Zheng

Cai

Shen

2013

SpringerBriefs in Computer Science

View full text Add to dashboard Cite

show abstract

“…Normally, the information provided about the PV modules and other components from the manufacturers is used for sizing the PV system by a rough estimation of daily meteorological data inputs. In the literature, different sizing methods have been presented [32][33][34][35][36]. Some of these methods are based on analytical approaches, whereas the method presented here is based on the concept of loss of load probability (LLP) (see Appendix A).…”

Section: Proposition Of a New Sizing Procedures Of Sapv Systemmentioning

confidence: 99%

Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure

2007

View full text Add to dashboard Cite

“…Wind turbines capture part of the kinetic energy of the wind and convert it into electrical energy [14,15]. The energy extraction creates a wind energy deficit between the wind leaving the turbine (known as wake) and the wind arriving in front of the turbine.…”

Section: Wind Turbinementioning

confidence: 99%

Operational cost optimization for renewable energy microgrids in Mediterranean climate

Yahyaoui

Ghraizi

Tadeo

2016

2016 7th International Renewable Energy Congress (IREC)

View full text Add to dashboard Cite

This paper is concerned with the energy management of a micro-grid composed of photovoltaic/ wind/ diesel sources used to supply household loads. The control strategy manages the power flow between the power sources and the loads, which ensures the minimization of the installation operating cost, the safe operating for the battery bank while minimizing the use of the diesel engine. The strategy is tested using measured data of some climatic parameters of a Mediterranean area (Northern Tunisia), showing its efficiency in fulfilling the fixed objectives and respecting the criteria of the control strategy.

show abstract

Probabilistic assessment of photovoltaic (PV) generation systems

Cited by 86 publications

References 3 publications

Introduction

Introduction

Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure

Operational cost optimization for renewable energy microgrids in Mediterranean climate

Contact Info

Product

Resources

About