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Assessing combined object and mutual shading on the performance of a solar field

Kanters, Jouri LU and Davidsson, Henrik LU (2017) Building Simulation 2017
Abstract (Swedish)
To make well-informed decisions on the implementation of solar energy on roofs within the urban environment, a new method was developed and described that could support such decision-making. This method takes both the mutual shading and shading from external objects into account. The method consists of the following six steps: 1) construction of the scene, 2) performance of annual solar irradiation analyses, 3) performance of statistical analyses, 4) calculation of the energy output, 5) calculation of the parameters payback time and profit, 6) displaying the results. Analysing the data by setting own preferences will make more informed decision-making possible. The outputs from the method are maps indicating which locations surrounded by... (More)
To make well-informed decisions on the implementation of solar energy on roofs within the urban environment, a new method was developed and described that could support such decision-making. This method takes both the mutual shading and shading from external objects into account. The method consists of the following six steps: 1) construction of the scene, 2) performance of annual solar irradiation analyses, 3) performance of statistical analyses, 4) calculation of the energy output, 5) calculation of the parameters payback time and profit, 6) displaying the results. Analysing the data by setting own preferences will make more informed decision-making possible. The outputs from the method are maps indicating which locations surrounded by objects that are profitable for PV installations. Alternatively, the maps can be used to show payback times for the PV installation. (Less)
Abstract
To make well-informed decisions on the implementation
of solar energy on roofs within the urban environment, a
new method was developed and described that could
support such decision-making. This method takes both the
mutual shading and shading from external objects into
account. The method consists of the following six steps:
1) construction of the scene, 2) performance of annual
solar irradiation analyses, 3) performance of statistical
analyses, 4) calculation of the energy output, 5)
calculation of the parameters payback time and profit, 6)
displaying the results. Analysing the data by setting own
preferences will make more informed decision-making
possible. The outputs from the method are... (More)
To make well-informed decisions on the implementation
of solar energy on roofs within the urban environment, a
new method was developed and described that could
support such decision-making. This method takes both the
mutual shading and shading from external objects into
account. The method consists of the following six steps:
1) construction of the scene, 2) performance of annual
solar irradiation analyses, 3) performance of statistical
analyses, 4) calculation of the energy output, 5)
calculation of the parameters payback time and profit, 6)
displaying the results. Analysing the data by setting own
preferences will make more informed decision-making
possible. The outputs from the method are maps
indicating which locations surrounded by objects that are
profitable for PV installations. Alternatively, the maps
can be used to show payback times for the PV installation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
unpublished
subject
keywords
PV, Solar energy
conference name
Building Simulation 2017
conference location
San Francisco, United States
conference dates
2017-08-07 - 2017-08-09
language
English
LU publication?
yes
id
5efd8c57-002f-435c-9207-54681805b7a0
date added to LUP
2017-12-20 13:05:11
date last changed
2018-11-21 21:36:48
@misc{5efd8c57-002f-435c-9207-54681805b7a0,
  abstract     = {To make well-informed decisions on the implementation<br/>of solar energy on roofs within the urban environment, a<br/>new method was developed and described that could<br/>support such decision-making. This method takes both the<br/>mutual shading and shading from external objects into<br/>account. The method consists of the following six steps:<br/>1) construction of the scene, 2) performance of annual<br/>solar irradiation analyses, 3) performance of statistical<br/>analyses, 4) calculation of the energy output, 5)<br/>calculation of the parameters payback time and profit, 6)<br/>displaying the results. Analysing the data by setting own<br/>preferences will make more informed decision-making<br/>possible. The outputs from the method are maps<br/>indicating which locations surrounded by objects that are<br/>profitable for PV installations. Alternatively, the maps<br/>can be used to show payback times for the PV installation.},
  author       = {Kanters, Jouri and Davidsson, Henrik},
  keyword      = {PV,Solar energy},
  language     = {eng},
  location     = {San Francisco, United States},
  title        = {Assessing combined object and mutual shading on the performance of a solar field},
  year         = {2017},
}