Installed capacity optimization of autonomous photovoltaic systems under energy service contracting

2021 ◽  
Vol 240 ◽  
pp. 114256
Author(s):  
Dmitriy N. Karamov ◽  
Ilya M. Minarchenko ◽  
Anton V. Kolosnitsyn ◽  
Nikita V. Pavlov
Keyword(s):  
Photovoltaic Systems ◽  
Capacity Optimization ◽  
Service Contracting ◽  
Energy Service ◽  
Installed Capacity

Analiza kapaciteta i uslova izgradnje fotonaponskih sistema na krovovima školskih objekata u Srbiji

2020 ◽  
Vol 22 (1-2) ◽  
pp. 21-28
Author(s):  
Iva Batić ◽  
◽  
Željko Đurišić
Keyword(s):  
Electricity Consumption ◽  
Plant Production ◽  
Electricity Production ◽  
School Buildings ◽  
Photovoltaic Systems ◽  
Photovoltaic Panels ◽  
Passive Construction ◽  
Production And Consumption ◽  
Roof Area ◽  
Installed Capacity

School and school gym buildings represent a relevant potential for construction of photovoltaic panels, to be integrated into roofs of these buildings. Given that roof structures are passive, construction of photovoltaic systems does not interfere with the building functionality, does not it in any way adversely affect the environment. Installation of photovoltaic systems on building roofs brings the production and consumption of electricity closest possible, therefore such systems ensure significant reduction in power losses in transmission and distribution grids. In addition to locally produced electricity, construction of photovoltaic systems on the school buildings’ roofs produces an educational effect as well. By installing a measuring and acquisition system which would include the measuring data on the photovoltaic power plant production parameters and school electricity consumption into school labs, technology would be closer to students, as well as possibilities to meet the demand for electricity from this basic renewable energy source. This paper presents the results of evaluations of the available roof surfaces of school buildings in Serbia for the photovoltaic panels installation. For each category of school building, an estimate of possible annual production per unit of average roof area was made. Summarizing all the results, estimates of possible installed capacity and annual electricity production for different scenarios are given.

scholarly journals A Measure of Capacity Contribution of Static Mono-Si Photovoltaic Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Constantinos Varnavas ◽  
Andreas Poullikkas
Keyword(s):  
Load Capacity ◽  
Load Factor ◽  
Photovoltaic Systems ◽  
High Demand ◽  
Pv System ◽  
Pv Systems ◽  
Mediterranean Countries ◽  
Load Factors ◽  
High System ◽  
Installed Capacity

Photovoltaic (PV) systems generate electricity in the daytime when system demand is generally moderate to high. For Mediterranean countries, there is also seasonal coincidence of high system demand and high PV load factors. The present study quantifies the above statements by calculating the load factor of the PV system when system demand is high (above 90–99% of the maximum demand of the month). The percentage of time the PV load factor is above 90% for these periods of maximum demand is evaluated. The PV load capacity contribution is defined in this study as the minimum PV load factor during these periods of high demand. Actual generation data from a static (without tracking) mono-Si PV system, recorded every half hour for the year 2010 are compared to system demand data. The seasonality analysis indicates that PV contribution to capacity is only significant during the months May–October. For the months November–April, when daily demand peak occurs during the evening, PVs do not contribute towards capacity. The evaluated capacity contribution of PV systems depends on the threshold of maximum demand considered (90%–99%). For the threshold of 95%, the capacity contribution for May–October ranges between 27%–41% of PV installed capacity.

State Government’s Role in the Development of Energy Service Contracting

2019 ◽  
pp. 231-247
Author(s):  
Mitchell Rosenberg ◽  
David R. Wolcott
Keyword(s):  
Service Contracting ◽  
Energy Service

scholarly journals Optimal placement of photovoltaic systems from the aspect of minimal power losses in distribution network based on genetic algorithm

2018 ◽  
Vol 22 (Suppl. 4) ◽  
pp. 1157-1170
Author(s):  
Pavle Dakic ◽  
Dimitrije Kotur
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Distribution Network ◽  
Optimal Solution ◽  
Active Power ◽  
Optimal Placement ◽  
Photovoltaic Systems ◽  
Power Losses ◽  
Consumption Behavior ◽  
Installed Capacity

In this paper, an optimal placement of photovoltaic systems as a source of active power in radial distribution network is considered. The objective of this optimization problem is minimizing system losses and improving voltage profiles based on optimal placement and sizing of photovoltaic systems. The maximal installed capacity of photovoltaic systems in distribution network is predefined and must not be exceeded. The simulation is done for three different cases from the aspect of input data (characteristic days for each month, Monte Carlo simulation, and whole year data). In this way, both consumption behavior and solar potential are considered in order to find optimal solution. Genetic algorithm is implemented for the calculation of optimal solution.

scholarly journals Metodología de diseño tridimensional para sistemas fotovoltaicos interconectados

2019 ◽  
pp. 1-6
Author(s):  
Manuel Barreto-Barragan ◽  
Juan Gonzalez-Lopez ◽  
Marco Perez-Gonzalez ◽  
Efrain Villalvazo-Laureano
Keyword(s):  
Power Plant ◽  
3D Modeling ◽  
Solar Power ◽  
Assembly System ◽  
Photovoltaic Systems ◽  
Solar Power Plant ◽  
Accurate Calculation ◽  
Computational Tools ◽  
Installed Capacity ◽  
With Screws

This article presents a methodology for the design of Grid-tie photovoltaic systems using computational tools for 3D modeling, in order to have a clearer vision of installation and with the purpose of acquiring the detailed material of what is required to have a more successful initial investment for a project. As a methodological test, a solar power plant is designed on the buildings of the Faculty of Electromechanical Engineering in Manzanillo Colima. For this purpose, the Sketchup and Helioscope softwares are used to obtain the installed capacity of the buildings, selecting the solar modules, inverters and the quantity in meters of accessories such as cable, pipe, etc. SolidWorks is used to design the assembly system and obtain the amount of material with screws included and thus make a much more accurate calculation of the initial investment required.

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