دریافت مقالات روزجهان در زمینه سیستم هوشمند مدیریت ساختمان

ارسال به دوست

دریافت مقالات روز جهان در زمینه سیستم هوشمند مدیریت ساختمان

(برای دریافت هر مقاله نام مقاله مورد نظر را از قسمت تماس با ما ارسال بفرمایید)

 

A finish material management system for indoor air quality of apartmen buildings 

a b s t r a c t

With growing interest in the residential environment, the control of indoor air quality (IAQ) has become more important. When finish materials are selected considering pollutant source control in the design stage, the efficiency of IAQ control in the construction and use stages can be maximized. However, there
have been little cases and researches of Database Management System (DBMS) establishment to choose interior finish materials with consideration of IAQ in the design stage. Thus, this study aims to carry out research on a system for selection of apartment house finish materials based on IAQ performance evaluation. For this, pollutants generated from interior finish materials and IAQ evaluation standards are looked into. Measures to apply to the selection system are presented considering comprehensive IAQ evaluation methods in the design stage. The outcome of this study can be utilized for building up a system to improve IAQ and material selection procedures.
 

Optimization of the management of building stocks: An example of the application of managing heating systems in university buildings in Spain

a b s t r a c t
 
The article presents the implementation of management measures that have reduced the gas consumption for space heating of a university building in Spain by 40%. The measures affect the use of the building, e.g., the use of its spaces, and the scheduling of its occupancy. They also affect the management of the heating system: a protocol for turning the system on and shutting it off has been developed. The work is part of a framework for action by the Technical University of Catalonia covering more areas and for a longer period of time, in which policies have been designed for managing buildings and a number of studies have been developed on the energy consumption of the university’s buildings. The article highlights the workmethodology proposed to achieve the energy savings calculated theoretically in a previous study. The implementation of these measures in the case, from November 2006 until May 2007, has reduced consumption from 113.2 kWh/m2 to 68.7 kWh/m2 a year; thus, the hypothesis has been validated. In addition, it was possible to examine methodological details more closely. Finally, the relationship between the people involved in the process (the building owners, managers and energy users) is a determining factor.
 

A SCADA system for energy management in intelligent buildings

a b s t r a c t

This paper develops an energy management platform for intelligent buildings using a SCADA system (Supervisory Control and Data Acquisition). This SCADA system integrates different types of information coming from the several technologies present in modern buildings (control of ventilation, temperature, illumination, etc.).
The developed control strategy implements an hierarchical cascade controller where inner loops are performed by local PLC (Programmable Logic Controller), and the outer loop is managed by a centralized SCADA system, which interacts with the entire local PLC network. In this paper a predictive controller is implemented above the centralized SCADA platform. Tests applied to the control of temperature and luminosity in huge-area rooms are presented. The developed predictive controller optimizes the satisfaction of user explicit preferences coming from several distributed user-interfaces, subjected to the overall constraints of energy waste minimization. In order to run the predictive controller with the SCADA platform a communication channel was developed to allow communication between the SCADA system and the Matlab application where the predictive controller runs.
 

A new paradigm for the design and management of building systems

a b s t r a c t

Leveraging the emerging technologies of Energy Informatics and cross-reality, a new concept is proposed for how buildings and their systems are designed and operated. The basic premise of Energy Informatics contends that information has the power to reduce energy consumption, which, in a simple fashion, is asserted as “Energy + Information = Less Energy”. The concept of informatics can be applied to energy issues in the built environment from scales ranging from individual pieces of equipment (such as with fault detection and diagnostics) up to regional or country level (such as with a smart electrical grid).
Facilities Management and Modeling (FMM) is introduced as a new form of information systems to apply the principles of Energy Informatics to increasing energy efficiency in building operations. There are three core principles that guide the design of FMM: measurement, modeling, and management. The characteristics and use of FMM are discussed. Also introduced are potential applications for how crossrealty concepts can be applied in the training of students and professionals in the operation of complex building systems.
 
Fuzzy logic based energy management strategy for commercial buildings integrating photovoltaic and storage systems

Fuzzy logic based energy management strategy for commercial buildings integrating photovoltaic and storage systems

a b s t r a c t

This paper presents an energy management strategy for a commercial building in supermarket application. Some objectives are established as load shedding, to reduce the electricity bill and the CO2 emissions of commercial building, using photovoltaic (PV) and storage systems. An energy management supervision strategy based on the rules of the electricity bill will be presented. This paper focuses on the supervision strategy with the help of fuzzy logic and a graphical methodology to build it. It is shown, with the help of simulations and some economic and ecological indicators that the energy bill cost and the CO2 emissions can be reduced by using the proposed solution.
 
Energy intelligent buildings based on user activity: A survey

Energy intelligent buildings based on user activity: A survey

a b s t r a c t

Occupant presence and behaviour in buildings has been shown to have large impact on heating, cooling and ventilation demand, energy consumption of lighting and appliances, and building controls. Energyunaware behaviour can add one-third to a building’s designed energy performance. Consequently, user activity and behaviour is considered as a key element and has long been used for control of various devices such as artificial light, heating, ventilation, and air conditioning. However, how are user activity and behaviour taken into account? What are the most valuable activities or behaviours and what is their impact on energy saving potential? In order to answer these questions, we provide a novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition. We devise new metrics to compare the existing studies. Through the survey, we determine the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads. The most promising and appropriate activity recognition technologies and approaches are discussed thus allowing us to conclude with principles and perspectives for energy intelligent buildings based on user activity.
 
 

Energy saving potential of cooperative management between DHC plant and building HVAC system

a b s t r a c t
 
A district heating and cooling system (DHC) is a promising energy saving measure for high density business areas. In a DHC plant, high energy efficiency is achieved by introduction of highly efficient equipment and efficient operation by well trained operators. However, the energy efficiency is affected by a number of issues related to the HVAC systems within a building. The main reason for these problems is that the DHC plant and the air conditioning systems of buildings are designed and operated separately.
This study proposes a new energy service in which the operator of the DHC plant controls the air conditioning systems in buildings simultaneously. From a simulation result, it is found that energy conservation measures on the demand side would decrease energy consumption by 23.9% when electric driven heat pumps are used as the heat source. In addition, the potential risks for several factors that cause decreases in saved energy were also assessed by the simulation model.
 
Development of multi-agent system for building energy and comfort management based on occupant behaviors

Development of multi-agent system for building energy and comfort management based on occupant behaviors

a b s t r a c t

Energy and comfort management is the major task for a building automation system. As a trend of nextgeneration’s commercial buildings, intelligent buildings are capable of facilitating intelligent control of the building to fulfill occupants’ needs. Since occupants’ behaviors have a direct impact on the system performance, the building should be able to interact with occupants by responding to their requests and obtaining feedbacks based on their behaviors. In this paper, a multi-agent based intelligent control system is developed for achieving effective energy and comfort management in a building environment. The developed multi-agent system turns out to be capable of facilitating the building to interact with its occupants for realizing user-centered control of buildings.
 

The reliability of technological systems with high energy efficiency in residential buildings

a b s t r a c t
 
The present study wants to highlight the importance of the reliability parameters because of some changes that occurred in modern technology; as for example the necessity of more sophisticated equipments or plants transformed from an auxiliary service to being an actual part of the systems they were
originally intended for.
Reliability, maintainability and availability are essential features if we want to define the quality that is the ability, of the plant to fulfill a specific requirement. Obviously analyzing the reliability is useful for those plants that must guarantee an uninterrupted service, thus making an estimation of the probability that a malfunctioning, either of component or a security system, can generate an accidental sequence generating a downtime. Even in plants which do not risk the occurrence of a considerable incident, the analysis of reliability can affect positively costs regarding both security and management.
The importance of reliability parameters increases when those requirements the system must fulfill change. Anyway these systems have a safe impact on the costs of exertion and management. Such costs will be added to the ones produced by the energy consumption of the plant. By using the word costs we mean: installation and management costs; a high efficient and reliable plant usually has high installation costs and low exertion costs. The opposite situation occurs in highly maintainable plants only under specific circumstances.
 

Analysis of HVAC system oversizing in commercial buildings throughfield measurements

a b s t r a c t

This study analyzes the oversizing issues of HVAC equipment in commercial buildings based on thedata from long-time field measurements. Specifically, retail stores are selected as the typical commercialbuildings to evaluate the status of equipment oversizing and its effect on energy consumption. Rooftopunits (RTUs) in 12 retail stores located in different climatic regions are analyzed in terms of the over-sizing status in both cooling and heating mode. The proposed method utilizes three parameters, namelycycling number (N), run time fraction (RTF), and maximum cycling number (Nmax) to jointly determinethe performance of a RTU based on the annual design condition. The accuracy of the methodology isevaluated by self-validation in terms of uncertainty and compared with previous studies. The resultscan be used to evaluate the oversizing level of RTUs and quantify the average energy penalty of sam-ple buildings. Designers can also use the findings as a reference to evaluate building load design. Moreimportantly, the analytical process presented in this article can be automated and applied in the smartbuilding management system for the advanced soft repair of an oversizing issue with RTUs.

Impact of building automation control systems and technical buildingmanagement systems on the energy performance class of residentialbuildings: An Italian case study

Impact of building automation control systems and technical buildingmanagement systems on the energy performance class of residentialbuildings: An Italian case study

a b s t r a c t

The paper focuses on the evaluation of the impact on residential buildings of building automation control(BAC) and technical building management (TBM) systems. This work shows how the control, monitoringand automation functions considered by the European Standard EN 15232 can considerably influence theenergy performance of a single-family test house and, consequently, its energy performance class. Thestudy puts into evidence that the benefit that can be drawn from the installation of BAC and TBM systemsdepends on the type of technical appliances in the household and on the starting energy performanceclass.Finally, the economic impact due to the introduction of BACS or TBM function is evaluated for differentstarting energy classes of the household under consideration.

Multi-zone building energy management using intelligent control and optimization

Multi-zone building energy management using intelligent control and optimization

a b s t r a c t

Intelligent buildings are a trend of next-generation’s buildings, which facilitate intelligent control of the building to fulfill occupants’ comfort demands. The primary objective in building control is to achieve a comfortable building environment with high energy efficiency. By dividing the whole building into several
zones, a multi-zone building model is built for developing an effective energy management scheme. This study proposes a multi-agent control system coupled with an intelligent optimizer for intelligent building control. Particle swarm optimization (PSO) is utilized to optimize the building energy management by enhancing the intelligence of the multi-zone building during its operations. A case study of multi-zone building control is carried out and the corresponding simulation results are presented in this paper.
 

The Support of Building Management in the Aspect of Technical Maintenance

برای دریافت مقاله مورد نظر , مقاله را انتخاب کرده و لینک آن را از قسمت تمای با ما ارسال بفرمایید