The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Efficient energy management in buildings is becoming an important requirement aimed at reducing energy costs and environmental pollution. Setting a monthly budget for energy consumption, and consequently energy cost, of buildings is being practiced by several organizations in a bid to reduce their carbon footprint. However, the impact of such an energy budget on the indoor comfort of users in a building...
It is important to have practical methods for constructing a good mathematical model for a building's thermal system for energy audits, retrofit analysis and advanced building controls, e.g. model predictive control. Identification approaches based on semi-physical model structures are popular in building science for those purposes. However conventional gray box identification approaches applied to...
This paper presents the thermal behavior of a passive building located in Hassan II University of Casablanca. A numerical code based on electric analogy nodal method was developed and validated against experimental results. This program is used to validate estimated values of envelope thermal resistances for three configurations (Case 1: cell without insulation; Case 2: 4.5 cm of glass wool layer...
The most energy in buildings is used for space cooling and heating. Thus, the thermal analysis is necessary to reach thermal comfort and energy efficiency in buildings. In this paper, we present a thermal envelope modeling based on thermal-electrical analogy for thermal behavior simulation. The research object is a real platform inside our laboratory building in France. To illustrate this study, two...
This paper analyzes the pessimistic effect on the inherent load shifting potential (LSP) of buildings due to the participation in the reserve market. A generic model-based optimization approach is deployed, which uses a validated dynamic model along with its experienced external and internal disturbances, to quantify the LSP in the presence of various price signals. The theoretical maximum LSP is...
The inter-temporal consumption flexibility of commercial buildings can be harnessed to improve the energy efficiency of buildings, or to provide ancillary service to the power grid. To do so, a predictive model of the building's thermal dynamics is required. In this paper, we identify a physics-based model of a multi-purpose commercial building including its heating, ventilation and air conditioning...
Heating, Ventilating and Air-conditioning (HVAC) control systems play an important role in regulating indoor air temperature to provide building occupants a comfortable environment. Design of HVAC control system to provide an optimal balance between comfort and energy usage is a challenging problem. This paper presents a framework for control of building HVAC systems using a methodology based on power...
Although recent research has suggested model predictive control as a promising solution for minimizing energy costs of commercial buildings, advanced control systems have not been widely deployed in practice. Large-scale implementations, including industrial complexes and university campuses, may contain thousands of air handler regions each with tens of zones. A single centralized control system...
In this paper, a procedure to model buildings and their thermal zones is studied. Since, ideally, the developed methodology should be applicable to different buildings, at different scales and in different locations, a feasibility study is necessary. The experiments used to test the flexibility of the model structure and the adaptability of the modeling procedure itself are presented. The obtained...
In the paper there are presented the problems of optimal control for indoor thermal comfort in classroom equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such HVAC control systems allows to minimize the energy consumption and to maximize microclimate comfort sensation. There are discussed the results of modeling the classroom using building...
There have been very few advanced control algorithms developed for small commercial buildings due to practical difficulties such as the spatial comfort variations, significant disturbances, high sensor costs, and high cost of site-specific engineering solutions. High implementation cost has been a major impediment to successful market penetration. The focus of this work is to develop and demonstrate...
Exergy has been extensively used to assess the efficiency of energy systems. This metric is relevant to quality of energy and is also a measure of sustainability. In this paper, exergy model of a building is presented and exergy destruction is formulate as a function of the physical parameters of the building model and environment. The exergy model is then used to develop model predictive control...
The paper presents a system identification method that can determine individual room air change rates in commercial building HVAC systems. This is achieved by utilizing a combined low order model based on the room's thermal dynamics and experimental approach. The low order model is shown to capture the dominant dynamics of the room air temperature response. This method can help enable significant...
When there is the desire to achieve optimal temperature control for a building or its energetic performance description, one of the steps that should be followed is to identify experimentally the dynamic model for heat transfer in that building. In these models there are used heat equations in time domain, but as these systems have multiple inputs and outputs, these equations can be represented in...
This paper deals with the adaptation of a model predictive control to a blind system for building for preventing thermal discomfort, which occurs during summer. This system can be seen as a hybrid system by considering various blind positions. The MPC formulation leads to define a multi-objective optimization problem, for which the criteria are antagonist. This method seems to be effectiveness and...
In this paper, two alternatives approaches to model predictive control (MPC) are compared and contrasted for the role of zone temperature controller - the commonly used linear formulation (LMPC) and rather unconventional nonlinear formulation (NMPC). The economical focus is reflected by the performance criterion being a combination of the comfort requirements and the monetary cost penalties (price...
Model uncertainty limits the utilization of Model Predictive Controllers (MPC) to minimize building energy consumption. We propose a new Robust Model Predictive Control (RMPC) structure to make a building controller robust to model uncertainty. The results from RMPC are compared with those from a nominal MPC and a common building Rule Based Control (RBC). The results are then used to develop a methodology...
The solar industry is relatively mature, the cost of these products is stabilized and it is likely to evolve quite slightly over the upcoming years: other than a scale effect resulting from rapid growth markets, only a technological breakthrough in the act of conception, could significantly change the economic level. The following barriers are identified (in order of importance): financial, technical...
Development of an accurate heat transfer model of buildings is of high importance. Such a model can be used for analyzing energy efficiency of buildings, predicting energy consumption and providing decision support for energy efficient operation of buildings. In this paper, we propose a PDE-ODE hybrid model to describe heat transfer through building envelope as well as heat evolution inside building...
One of the most important goals of smart grid is sustainability. Load management in coordinated manner may help in saving more energy and hence move towards sustainability. Advanced metering infrastructures (AMI) and bidirectional communication between electricity grid and endusers, novel technologies and designs are required to exploit full potential of smart grid investments. New analysis tools...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.