scholarly journals Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4057
Author(s):  
Diego M. Jiménez-Bravo ◽  
Álvaro Lozano Murciego ◽  
Daniel H. de la Iglesia ◽  
Juan F. De Paz ◽  
Gabriel Villarrubia González
Keyword(s):  
Fuzzy Logic ◽  
Energy Savings ◽  
Fuzzy Controller ◽  
Cost Optimization ◽  
Research Work ◽  
Heating System ◽  
Multi Agent Systems ◽  
Actual System ◽  
Central Heating ◽  
Multi Agent

Recent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, the Internet of Things (IoT) technology has had a great impact on society. Hence, this research work aims to use IoT technology and multi-agent systems to optimize the use of central heating installation in buildings. It is intended to improve the user’s comfort, reduce the consumption of energy and reduce the financial costs. Therefore, a multi-agent system is proposed to collect data from sensors located in a smart-home and obtain the best action to perform in a central heating system. The decisions will be taken by an intelligent agent based on fuzzy logic. This technology will allow for generating the control action with a fuzzy controller. The results obtained show that the proposal improves the actual system in terms of users’ comfort and financial and energy savings.

Reconfigurable Embedded Control Systems

2011 ◽  
pp. 235-273
Author(s):  
Mohamed Khalgui ◽  
Olfa Mosbahi
Keyword(s):  
Control Systems ◽  
Research Work ◽  
User Requirements ◽  
Multi Agent Systems ◽  
Embedded Control ◽  
Embedded Control Systems ◽  
Temporal Properties ◽  
Logic Computation ◽  
Multi Agent ◽  
Hardware Faults

The chapter deals with distributed multi-agent reconfigurable embedded control systems following the component-based International Industrial Standard IEC61499 in which a Function Block (abbreviated by FB) is an event-triggered software component owning data and a control application is a distributed network of Function Blocks that have classically to satisfy functional and to meet temporal properties described in user requirements. The authors define a new reconfiguration semantic where a crucial criterion to consider is the automatic improvement of the system’s performance at run-time, in addition to its protection when hardware faults occur. To handle all possible cases in industry, the authors classify thereafter the reconfiguration scenarios into three forms before the authors define an architecture of reconfigurable multi-agent systems where a Reconfiguration Agent is affected to each device of the execution environment to apply local reconfigurations, and a Coordination Agent is proposed for any coordination between devices in order to guarantee safe and adequate distributed reconfigurations. A Communication Protocol is proposed in our research work to handle coordinations between agents by using well-defined Coordination Matrices. The authors specify both the reconfiguration agents to be modelled by nested state machines, and the Coordination Agent according to the formalism Net Condition/Event Systems (Abbreviated by NCES) which is an extension of Petri nets. To verify the whole architecture, the author check by applying the model checker SESA in each device functional and temporal properties described in the temporal logic “Computation Tree Logic”, but the authors have also to check any coordination between devices by verifying that whenever a reconfiguration is applied in a device, the Coordination Agent and other concerned devices should react as described in user requirements. The chapter’s contributions are applied to two Benchmark Production Systems available in our research laboratory.

Remote control-based energy management for energy savings in a central heating system

2016 ◽  
Vol 36 (2) ◽  
pp. 600-609 ◽  
Author(s):  
Volkan Şahin ◽  
Osman İpek ◽  
Yusuf Başoğul ◽  
Barış Gürel ◽  
Ali Keçebaş
Keyword(s):  
Remote Control ◽  
Energy Management ◽  
Energy Savings ◽  
Heating System ◽  
Central Heating

Implementation of the Type-2 Fuzzy Controller in PLC

2010 ◽  
Vol 164 ◽  
pp. 95-98 ◽  
Author(s):  
Ireneusz Dominik
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Research Work ◽  
Problem Type ◽  
Object A ◽  
Develop Type ◽  
Linear Object

The main aim of the presented research work was to develop type-2 fuzzy logic controller, which by its own design should be “more intelligent” than type-1. Along with the intelligence it should provide better results in solving a particular problem. Type-2 fuzzy logic controller is not well-known and it is rarely used at present. The idea of type-2 fuzzy logic set was presented by Zadeh in 1975, shortly after the presentation of type-1 fuzzy set. At the beginning scientists and researchers worked on type-1. Only after developing type-1 the attention was directed towards the type-2. The first applications of type-2 fuzzy logic in control appeared in 2003. The fuzzy logic controller type-2 was tested experimentally by controlling a non-linear object: a shape memory alloy (SMA) actuator DM-01PL, made by Miga Motor company, which despite small size distinguishes itself by its 9 N strength. Comparison of experimental data of the fuzzy logic controller type-2 and type-1 clearly indicates the superiority of the former, particularly in reducing signal overshoots.

The Way Households Use the Central Heating System: Observed by a Daily Charge Heat-Energy Consumption Measuring Test

2011 ◽  
Vol 361-363 ◽  
pp. 1047-1050
Author(s):  
Bin Liao
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Average Energy ◽  
Weather Conditions ◽  
Heating System ◽  
Developed Countries ◽  
Heat Energy ◽  
Central Heating ◽  
Average Energy Consumption ◽  
The Way

The pattern of using the household billing to promote heating energy savings has become a focus discussion in the current national energy conservation. Nowadays the average energy consumption in China is 2 to 3 times than the developed countries with the same weather conditions, equivalent to the level of developed countries in 60 to 70 years. We report a daily heat-energy consumption measuring test in Beijing since 2009, the result shows that 90% of the total households we tested never change their valves to regulate the heat exchange systems in two winters, the one at least change their valves once are about 5%. So that the way households use the central heating is not fit for the need to save heat-energy.

Select Reliable Strategy in Multi-Agent Systems Using Fuzzy Logic-Based Fusion

2008 ◽  
Author(s):  
Amin Ramezani ◽  
Mohamad Reza Andalibizadeh ◽  
Soheil Bahrampour ◽  
Hamed Ramezani ◽  
Behzad Moshiri
Keyword(s):  
Fuzzy Logic ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Quantifying the performance of a passive deaerator in a gas-fired closed loop domestic wet central heating system

2016 ◽  
Vol 38 (3) ◽  
pp. 269-286
Author(s):  
David Johnston ◽  
David Glew ◽  
Dominic Miles-Shenton ◽  
Moaad Benjaber ◽  
Richard Fitton
Keyword(s):  
Energy Use ◽  
Closed Loop ◽  
Energy Savings ◽  
Low Cost ◽  
Heating System ◽  
Test Method ◽  
Heat Output ◽  
Heating Systems ◽  
Central Heating ◽  
The Uk

In the UK, approximately 16% of the energy use can be attributed to domestic wet central heating systems. Government financial support and advances in technology have led to boilers becoming more efficient and a range of technologies are now available that claim to be able to improve the efficiency of domestic wet central heating systems. One such low cost technology is a passive deaerator. This article presents the results obtained from installing a passive deaerator on the closed loop of a gas-fired wet central heating system, under controlled conditions in the Salford Energy House. The results indicate that although marginally less heat output was required from the boiler when the passive deaerator was operating, these savings are more or less out weighted by the boiler short cycling more frequently. Consequently, the overall reduction is gas consumption achieved by utilising the passive deaerator device is only of the order of 0.5%; this scale of savings may just be a consequence of measurement noise. The implications are that although a marginal benefit may be attributed to these products, if short cycling takes place, then these savings may become insignificant. Practical application: This article describes a test method that has been used to quantify the energy savings that could be achieved by installing a passive deaerator on the closed loop of a wet central heating system. Although the results indicate that the energy savings associated with using such a device are likely to be marginal, the test method described could be used to test a range of other devices that claim to improve the performance of domestic wet central heating systems, to directly compare before and after performance.

Sign in / Sign up

Export Citation Format

Share Document