scholarly journals SOLIS—A Novel Decision Support Tool for the Assessment of Solar Radiation in ArcGIS

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2105 ◽  
Author(s):  
Jan Kazak ◽  
Małgorzata Świąder
Keyword(s):  
Decision Support ◽  
Solar Radiation ◽  
Geographical Information Systems ◽  
Sustainable Energy ◽  
Decision Support Tool ◽  
Energy Development ◽  
Development Strategies ◽  
Geographical Information ◽  
Data Conversion ◽  
Support Tool

The global Sustainable Development Goals influence the implementation of energy development strategies worldwide. However, in order to support local stakeholders in sustainable energy development strategies and climate change adaptation plans and the implementation of policies, there is a need to equip local decision makers with tools enabling the assessment of sustainable energy investments. In order to do so, the aim of this study is to create a novel tool for the assessment of solar radiation (SOLIS) in ArcGIS. The SOLIS tool builds on the existing ArcGIS algorithm by including input data conversion and post-processing of the results. This should expand the group of potential users of solar radiation analyses. The self-filtering tool excludes surfaces that are not suitable for solar energy investments due to geometrical reasons. The reduction of the size of the output data is positive for technical reasons (speed of the calculation and occupied storage place) and for cognitive reasons (reduction of the number of objects necessary to analyse by the user). The SOLIS tool limits the requirement for users to insert three-dimensional (3D) models of roofs (with any geometry) and select solar radiation calculation periods. The highlight of this research is to develop the decision support tool for the assessment of solar radiation, which would reduce the requirements for potential users, in order to promote indicator-based assessments among non-Geographical Information Systems (GIS) specialists.

A protocol for sampling pastures in hill country

2016 ◽  
Vol 78 ◽  
pp. 203-209 ◽  
Author(s):  
K.J. Hutchinson ◽  
D.R. Scobie ◽  
J. Beautrais ◽  
A.D. Mackay ◽  
G.M. Rennie ◽  
...  
Keyword(s):  
Random Sampling ◽  
Geographical Information Systems ◽  
Field Measurements ◽  
Decision Support Tool ◽  
Accurate Estimate ◽  
Ease Of Use ◽  
Geographical Information ◽  
Support Tool ◽  
Topographic Complexity ◽  
Hill Country

To develop a protocol to guide pasture sampling for estimation of paddock pasture mass in hill country, a range of pasture sampling strategies, including random sampling, transects and stratification based on slope and aspect, were evaluated using simulations in a Geographical Information Systems computer environment. The accuracy and efficiency of each strategy was tested by sampling data obtained from intensive field measurements across several farms, regions and seasons. The number of measurements required to obtain an accurate estimate was related to the overall pasture mass and the topographic complexity of a paddock, with more variable paddocks requiring more samples. Random sampling from average slopes provided the best balance between simplicity and reliability. A draft protocol was developed from the simulations, in the form of a decision support tool, where visual determination of the topographic complexity of the paddock, along with the required accuracy, were used to guide the number of measurements recommended. The protocol was field tested and evaluated by groups of users for efficacy and ease of use. This sampling protocol will offer farmers, consultants and researchers an efficient, reliable and simple way to determine pasture mass in New Zealand hill country settings. Keywords: hill country, feed budgeting, protocol pasture mass, slope

An Integrated Decision-Support Tool for Sustainable Energy Supply

2004 ◽  
pp. 2552-2557
Author(s):  
Stefan Hirschberg ◽  
Roberto Dones ◽  
Peter Burgherr ◽  
Thomas Heck ◽  
Warren Schenler
Keyword(s):  
Decision Support ◽  
Energy Supply ◽  
Sustainable Energy ◽  
Decision Support Tool ◽  
Support Tool ◽  
Sustainable Energy Supply

Data Mining in Decision Support for Bioenergy Production

2010 ◽  
pp. 1091-1108
Author(s):  
Nasser Ayoub ◽  
Yuji Naka
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Tool ◽  
Geographical Information ◽  
Support Tool ◽  
Bioenergy Production ◽  
Decision Making Problem ◽  
Biomass Resources

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

Data Mining in Decision Support for Bioenergy Production

2010 ◽  
pp. 235-253
Author(s):  
Nasser Ayoub ◽  
Yuji Naka
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Tool ◽  
Geographical Information ◽  
Support Tool ◽  
Bioenergy Production ◽  
Decision Making Problem ◽  
Biomass Resources

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

scholarly journals PostGeoOlap: an Open-Source Tool for Decision Support

2005 ◽  
Author(s):  
Giovanni Colonese ◽  
Rodrigo Soares Manhães ◽  
Sahudy Montenegro González ◽  
Rogério Atem De Carvalho ◽  
Asterio Kiyoshi Tanaka
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Decision Support Tool ◽  
General Purpose ◽  
Geographical Information ◽  
Support Tool ◽  
On Line ◽  
Analytical Processing ◽  
Using Data ◽  
Application Developers

This work describes PostGeoOlap, a decision support tool that integrates OLAP (On-Line Analytical Processing) and GIS (Geographical Information System) technologies in a single application. PostGeoOlap is an open source and a general-purpose tool to be used by application developers to easily develop their decision support applications. This tool works on the PostGreSQL DBMS using its spatial extensions (PostGIS) and performs the analytical and geographical functionalities using data warehouses.

Sign in / Sign up

Export Citation Format

Share Document