The Integrated Energy Decision Support System
Authored by Anas Alfaris, Abdulaziz Khiyami, Abdullah Alawad, Adnan Alsaati, Mohammed Hadhrawi
Date Published: 2015
DOI: 10.1002/sys.21326
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Abstract
In this paper we introduce a decision support system framework termed
the Integrated Energy Decision Support System (IEDSS). IEDSS was
developed for energy planning at national and regional levels to inform
energy planners at multiple levels of government. IEDSS employs system
dynamics modeling to enable the rapid evaluation of the outcomes of
different supply and demand policies at the national level. Agent-Based
models are used to mimic the interactions between different entities
when applying the framework at the regional level of government. Within
the IEDSS framework policy makers specify a set of policy decisions and
choose from a set of uncertain futures to investigate the performance of
their policy decisions. Together these form a scenario for which IEDSS
computes a set of output parameters that are used to evaluate the
resulting outcome. As a model-driven DSS, IEDSS can be utilized in two
ways. The first is as a single-user DSS that deploys a scenario-based
planning approach which informs decision makers by mapping the solution
space and the resultant effects caused by their policy choices. The
second is as a group-based DSS that enhances communication and
collaborative decision making between multiple entities. IEDSS is
developed on a software platform that utilizes the front-end computation
to handle templates, style sheets, and visualizations, while the backend
is focused on data retrieval, models execution, and performance
optimization. IEDSS was developed to address the power sector of the
Kingdom of Saudi Arabia as a case study, but the framework and
capabilities of its platform are applicable to any generalized case. (C)
2015 Wiley Periodicals, Inc.
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