An Energy Management System for Building Structures Using a Multi-Agent Decision-Making Control Methodology

Zhao, Peng; Suryanarayanan, Siddharth; Simões, Marcelo Godoy

doi:10.1109/tia.2012.2229682

Cited by 207 publications

(76 citation statements)

References 5 publications

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“…In addition, the study of a micro-grid energy management system, analogous to the demand side energy management system, is also a hot topic for researchers [14]. As for the building energy management systems, in reference [15], a semi-centralized decision-making methodology using multi-agent systems was proposed to improve energy efficiency and reduce energy costs. Reference [16] introduces the actual experiment of using a building energy management system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization

et al. 2017

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Abstract:In the context of climate change and energy crisis around the world, an increasing amount of attention has been paid to developing clean energy and improving energy efficiency. The penetration of distributed generation (DG) is increasing rapidly on the user's side of an increasingly intelligent power system. This paper proposes an optimization method for industrial task-continuous load management in which distributed generation (including photovoltaic systems and wind generation) and energy storage devices are both considered. To begin with, a model of distributed generation and an energy storage device are built. Then, subject to various constraints, an operation optimization problem is formulated to maximize user profit, renewable energy efficiency, and the local consumption of distributed generation. Finally, the effectiveness of the method is verified by comparing user profit under different power modes.

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Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization

et al. 2017

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“…Due to extreme hot weather in Saudi Arabia, the Saudi Electricity Company reported that 60% consumption of electricity goes to power air conditioning (Saudi Electricity Company, 2016). A multi-agent system is a group of networked agents or controllers for achieving some global objectives by coordination and communication among the agents (Zhao, Suryanarayanan & Simoes, 2013). An agent is an intelligent technology that is autonomously acting in some environment to achieve its goals (Wooldridge, 2009).…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Adaptive Cooling Optimising Systems for Homes in KSA

Malibari¹,

Gamlo²

2017

CIS

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Energy saving has been a global concern since the last few years. Due to the massive growth of population in Saudi Arabia and its extremely hot climate, electricity consumption, and costs are expected to increase every year. This work presents an intelligent and efficient technology to create a balance between the need of energy consumption minimization and standards regarding the comfort of people in Saudi Arabia. Thermal Modelling and Optimization of Cooling Systems have been considered to generate the outcomes of study. The sample size comprised of 10 houses, which have been selected randomly from Royal Commission for Yanbu province. It has been revealed through testing that there is a reduction by 20% in cooling consumption. This reduction reflects in 31% reduction in expected cooling costs without affecting the comfort of householders.

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“…In the first group, attention is payed to the management and operation of various distributed energy sources [4][5][6], where the energy consumption is usually assumed to be centralized. In the other group, research focuses on the demand-side load management [7][8][9][10] with the energy supply assumed to be centralized.…”

Section: Introductionmentioning

confidence: 99%

Operational Optimization for Microgrid of Buildings with Distributed Solar Power and Battery

Zhang

Jia

2016

Asian Journal of Control

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Improving building energy efficiency is significant for energy conservation and environmental protection. When there are multiple buildings with solar power generation and batteries connected in a microgrid, coordinating the distributed energy supply and consumption may substantially improve the energy efficiency. We consider this important problem in this paper and make the following three major contributions. First, we formulate the operation optimization of a microgrid of buildings as a two-stage stochastic programming problem. Second, the problem is transformed into a stochastic mixed-integer linear programming. Then the scenario method is used to solve the problem. Third, case studies of a university campus is presented. The numerical results show that coordinating the distributed solar power and battery can reduce the operational cost of the microgrid.

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An Energy Management System for Building Structures Using a Multi-Agent Decision-Making Control Methodology

Cited by 207 publications

References 5 publications

Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization

Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization

Agent-Based Adaptive Cooling Optimising Systems for Homes in KSA

Operational Optimization for Microgrid of Buildings with Distributed Solar Power and Battery

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