A new integrated tool for complex decision making: Application to the UK energy sector

Hunt, Julian David; Bañares‐Alcántara, René; Hanbury, David B.

doi:10.1016/j.dss.2012.12.010

Cited by 35 publications

(19 citation statements)

References 24 publications

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“…[10] A technical and economic study to design a hybrid PV/wind power generating system for one domestic in India. [6] A technique for analyzing the performance of the autonomous PV/wind hybrid energy systems.…”

Section: Referencementioning

confidence: 99%

“…Finally, for making decisions, special frameworks can be used [4,10] or systems can combine special techniques to make decisions: linear programming dynamic programming, multi-objective methods, etc.…”

Section: Introductionmentioning

confidence: 99%

“… Systems based on simulators for dynamic models [9,16,4,10].  Systems with analytical models [2,8,6].…”

Section: Introductionmentioning

confidence: 99%

“… System for investigating the performance based on the optimum design of hybrid systems [8,6,14,10]  Prediction system to determine the output and the consumption of energy [2,7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Architecture of an Information System for the Management of Hybrid Energy Grids

Shulyma¹,

Davidsson²,

Shendryk³

et al. 2015

Annals of Computer Science and Information Systems

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-The objective of this paper is to present the design of an information system using software agents. The features of the decision-making process concerning a working model of a hybrid energy grid and the functional requirements of the information system are described. Based on an analysis of the information flow occuring during the data processing for making appropriate decisions, a system architecture which combines a set of independent platforms, is proposed. Multi Agent System is used for the implementation and integration with other systems, such as a power system analysis tool, as well as presentation and storage tools. I. INTRODUCTIONFrom a production perspective, electrical energy production has become more difficult as traditional big power plants use fossil fuel and therefore are regarded environmentally inappropriate, and as nuclear power plants are regarded inappropriate due to safety. However, to generate energy in large conventional power plant is cheap and not technically difficult. Furthermore, energy distribution to the user could be very expensive due to the significant losses that occur. Many countries are presently introducing the concept of distributed energy production and consumption by using renewable energy sources (RES). This means that the power system mainly consists of medium and small generators that are located directly next to the end user [13] The user cares individually about the use and maintenance of RES. Electricity is generated for user's own needs, and if there is excess, the user can sell it to the grid where other users can use this energy. The presence of several sources producing electricity, make such a system a hybrid system [1]. Successful examples of using solar and wind energy have already been shown, and the construction of hybrid energy systems has become more attractive.In addition, RESs are becoming increasingly popular as they produce electricity in a more environmentally friendly way, and therefore are getting financial support from governments. In developing countries often the idea of using RES comes from private stakeholders. However, it is difficult for laymen to operate such grids with maximum benefit as the system is characterized by rapidly changing operating modes and configurations are depending on external conditions. The decision making process concerning the management of a distributed grid is complicated by the presence of a large amount of discrete variables that are affecting the system. It can take a long time to make a decision as you want to be sure that the right decision was made with respect to maximize benefit. Thus, it may be convenient to use Decision Support Systems (DSS), which can take on some the user's tasks. However, before the creation of a DSS, it is necessary to build an information model that can be used to provide the appropriate information to the DSS. It is necessary to determine exactly, what type of tasks that will be taken over by the system, how to solve these tasks, and how to provide the necessary data to th...

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Section: Referencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“… Systems based on simulators for dynamic models [9,16,4,10].  Systems with analytical models [2,8,6].…”

Section: Introductionmentioning

confidence: 99%

“… System for investigating the performance based on the optimum design of hybrid systems [8,6,14,10]  Prediction system to determine the output and the consumption of energy [2,7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Architecture of an Information System for the Management of Hybrid Energy Grids

Shulyma¹,

Davidsson²,

Shendryk³

et al. 2015

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

show abstract

“…Computational decision tools are able to support complex decision making in the energy 120 sector, such as the recent tools developed by Hunt et al (2013) and Chang (2014) for the 121 planning and coordination of renewable energy systems. A performance analysis of a 122 renewable energy system usually underpins this kind of tool to aid decision making.…”

mentioning

confidence: 99%

A decision support system for strategic maintenance planning in offshore wind farms

Li¹,

Ouelhadj²,

Song³

et al. 2016

Renewable Energy

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Multienterprise supply chain: Simulation and optimization

Sahay

Ierapetritou

2016

AIChE Journal

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The advancements in connectivity among the entities belonging to industrial supply chain have given rise to more complex, global supply chain networks. These networks are often constituted of entities that belong to multiple such networks. Interactions among the entities in such networks are also influenced by whether they belong to the same enterprise or different ones. This work takes into consideration the effect of such interactions. The entities belonging to different enterprises are assumed to interact through auctions. An agent based simulation model that incorporates such auctions is used to represent multienterprise supply chain networks. The dynamics of the supply chain affected by the auction mechanism are investigated. Also a derivative free optimization methodology is proposed to find the optimal warehouse capacities for the minimization of total cost. © 2016 American Institute of Chemical Engineers AIChE J, 62: 3392–3403, 2016

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A new integrated tool for complex decision making: Application to the UK energy sector

Cited by 35 publications

References 24 publications

The Architecture of an Information System for the Management of Hybrid Energy Grids

The Architecture of an Information System for the Management of Hybrid Energy Grids

A decision support system for strategic maintenance planning in offshore wind farms

Multienterprise supply chain: Simulation and optimization

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