Technoeconomic assessment of a building-integrated PV system for electrical energy saving in residential sector

2003 ◽  
Vol 35 (8) ◽  
pp. 757-762 ◽  
Author(s):  
G.C Bakos ◽  
M Soursos ◽  
N.F Tsagas
Keyword(s):  
Energy Saving ◽  
Electrical Energy ◽  
Pv System ◽  
Residential Sector

Comparison Position of Solar PV System : College Learning Building South Lampung

2019 ◽  
Author(s):  
Rishal Asri
Keyword(s):  
Electrical Energy ◽  
Performance Ratio ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System ◽  
College Learning ◽  
A Performance

Sunlight is energy that can be converted into electrical energy. One of the uses is by applying it to the roof ofthe building. The application in this building has restrictions such as the placement of the PV moduleshorizontally and vertically. In the study comparing the results of energy obtained from the PV system withhorizontal and vertical positions with a standard degree angle in the direction of azimuth sunlight. Positionusing the horizontal produces more energy and reaches a performance ratio of more than 80%.

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Home Environment ◽  
Smart Home ◽  
Electrical Energy ◽  
Smart Home Environment

Research on Energy-Saving Algorithms with Migration Energy Consumption in Heterogeneous Cloud Environment

2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Migration Energy ◽  
Live Migration ◽  
Large Scale Data ◽  
Heterogeneous Cloud

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).

scholarly journals Photovoltaic Systems and Net Metering in Greece

2018 ◽  
Vol 8 (4) ◽  
pp. 3168-3171
Author(s):  
F. Mavromatakis ◽  
G. Viskadouros ◽  
H. Haritaki ◽  
G. Xanthos
Keyword(s):  
Net Present Value ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Internal Rate Of Return ◽  
Pv System ◽  
Local Loads ◽  
Electricity Bill ◽  
Net Metering ◽  
Cost Of Energy ◽  
Electrical Consumption

The latest measure for the development of photovoltaics in Greece utilizes the net-metering scheme. Under this scheme the energy produced by a PV system may be either consumed by the local loads or be injected to the grid. The final cost reported in an electricity bill depends upon the energy produced by the PV system, the energy absorbed from the grid and the energy injected to the grid. Consequently, the actual electricity consumption profile is important to estimate the benefit from the use of this renewable energy source. The state latest statistics in Greece for households reveal that the typical electrical consumption is 3750 kWh while 10244 kWh are consumed in the form of thermal energy. We adopt in our calculations the above amount of electrical energy but assume four different scenarios. These different hourly profiles are examined to study the effects of synchronization upon the final cost of energy. The above scenarios are applied to areas in different climate zones in Greece (Heraklion, Athens and Thessaloniki) to examine the dependence of the hourly profiles and the solar potential upon the financial data with respect to internal rate of return, payback times, net present value and the levelized cost of energy. These parameters are affected by the initial system cost and the financial parameters.

scholarly journals MPPT of PV System Under Partial Shading Conditions Based on Bio-inspired Swarm Intelligence Technique

2021 ◽  
Vol 297 ◽  
pp. 01051
Author(s):  
Mohammed Agdam ◽  
Abdallah Asbayou ◽  
Mustapha Elyaqouti ◽  
Ahmed Ihlal ◽  
Khaled Assalaou
Keyword(s):  
Swarm Intelligence ◽  
Electrical Energy ◽  
Pv System ◽  
Partial Shading ◽  
Matlab Simulink ◽  
Photovoltaic Modules ◽  
Pv Module ◽  
Maximum Current ◽  
Maximum Voltage ◽  
Intelligence Technique

To respond to the increase in demand for electricity, the use of photovoltaics is growing considerably as it produces electrical energy without polluting the environment. In addition, to enhance the efficiency of photovoltaic modules, an MPPT algorithm is required to follow the maximum voltage and maximum current in the IV curve. This technique can be achieved by using a DC-DC converter. For this purpose, various MPPT techniques have been developed. The combination of MPPT and DC-DC converter is implemented using Matlab/Simulink and connected to a modelled PV module to validate the simulation.

scholarly journals Maximizing Energy Saving by Solar Power based Optimal Supply Side Management

2019 ◽  
Vol 8 (12) ◽  
pp. 388-395
Keyword(s):  
Solar Energy ◽  
Energy Saving ◽  
Electrical Energy ◽  
Current Control ◽  
Power Supplies ◽  
Control Scheme ◽  
Physical Output ◽  
And Control ◽  
Current Energy ◽  
A Current

Energy saving can be maximized by rectifying the intermediate conversion processes involved during the utilization of solar energy. The system eliminates the transformation of electrical form of solar energy into another form by directly utilizing its electrical energy in the management and control of power supplies obtained from renewable (solar) and conventional (mains) energy sources. A current control scheme is presented in which current delivered by solar supply is used to control the current in mains supply in such a way that both currents are inversely proportional to each other. Any increment in solar current opposes mains current in the same proportion and vice versa. A balanced common physical output is resulted from the electrical load supplied by each source separately. A natural variation in solar radiation is utilized to fluctuate the solar current which is further used to change the mains current. Energy saving is maximized in this supply management by the optimal utilization of solar energy.

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