Assessment of Alternatives Effects and Choosing the Optimized Demand Response Capacity of Automatic Lighting System

Demand response (DR) programs seek to adjust the normal consumption patterns of electric power consumers in response to incentive payments that are offered by utility companies in order to induce lower consumption at peak hours and when the power system reliability is at risk. Given the fact that lighting systems consume about 20-35% of the total energy used in buildings, addressing this shortcoming is an important research problem. Therefore, we propose to take a systematic optimization-based approach to assess demand response capacity of automatic lighting control systems in commercial and residential buildings. Our model takes into account a variety of important systems parameters, such as the building layout, the location, power consumption, and illumination level of luminaires, information collected from daylight and occupancy sensors, illumination requirements of each spot on the layout based on the type of consumer usage, user comfort that is modeled in form of user-specific utility functions, and finally the on/off as well as dimming control capabilities of the installed luminaires. We show that, under some practical conditions, the formulated optimization problems are convex; therefore, computationally tractable. Using a variety of simulations we will investigate the optimal demand response capacities for various building layouts and different distributions of luminaires. We will also investigate the financial advantages of participating in demand response programs using automatic lighting control for both commercial and residential buildings.https://ecommons.udayton.edu/stander_posters/1326/thumbnail.jp

A complex approach for the design, construction and organizational management of logistics storage and products processing centers

Purpose: The introduced article aims at elaborating effective solutions in terms of designing and constructing buildings and objects of a regional logistics center serviced by a 3-4 PL-level provider taking into account practical experience in the design, construction and maintenance of logistics storage and products processing terminals that have been built. Design/Methodology/Approach: The research of the principles of designing logistics centers substantiates the necessity of revealing and working on technological trends in the development of internal logistics along with research and development, infrastructural, planning restrictions, capacity, reserve options. Findings: The best available equipment with the unlimited wide set of features is insufficient; each of these features needs to be applied in the working process as a single supply chain of consecutive actions. Practical implications: The findings of this paper can be used in the practical activities of regional and federal logistics enterprises, by public and commercial entities, in the administrative activities of enterprises and organizations. Originality/value: This research bears its determining significance in its effectiveness of practical functioning of logistics centers.peer-reviewe

Supporting high penetrations of renewable generation via implementation of real-time electricity pricing and demand response

The rollout of smart meters raises the prospect that domestic customer electrical demand can be responsive to changes in supply capacity. Such responsive demand will become increasingly relevant in electrical power systems, as the proportion of weather-dependent renewable generation increases, due to the difficulty and expense of storing electrical energy. One method of providing response is to allow direct control of customer devices by network operators, as in the UK 'Economy 7' and 'White Meter' schemes used to control domestic electrical heating. However, such direct control is much less acceptable for loads such as washing machines, lighting and televisions. This study instead examines the use of real-time pricing of electricity in the domestic sector. This allows customers to be flexible but, importantly, to retain overall control. A simulation methodology for highlighting the potential effects of, and possible problems with, a national implementation of real-time pricing in the UK domestic electricity market is presented. This is done by disaggregating domestic load profiles and then simulating price-based elastic and load-shifting responses. Analysis of a future UK scenario with 15 GW wind penetration shows that during low-wind events, UK peak demand could be reduced by 8-11 GW. This could remove the requirement for 8-11 GW of standby generation with a capital cost of £2.6 to £3.6 billion. Recommended further work is the investigation of improved demand-forecasting and the price-setting strategies. This is a fine balance between giving customers access to plentiful, cheap energy when it is available, but increasing prices just enough to reduce demand to meet the supply capacity when this capacity is limited

Integrated Dynamic Facade Control with an Agent-based Architecture for Commercial Buildings

Dynamic façades have significant technical potential to minimize heating, cooling, and lighting energy use and peak electric demand in the perimeter zone of commercial buildings, but the performance of these systems is reliant on being able to balance complex trade-offs between solar control, daylight admission, comfort, and view over the life of the installation. As the context for controllable energy-efficiency technologies grows more complex with the increased use of intermittent renewable energy resources on the grid, it has become increasingly important to look ahead towards more advanced approaches to integrated systems control in order to achieve optimum life-cycle performance at a lower cost. This study examines the feasibility of a model predictive control system for low-cost autonomous dynamic façades. A system architecture designed around lightweight, simple agents is proposed. The architecture accommodates whole building and grid level demands through its modular, hierarchical approach. Automatically-generated models for computing window heat gains, daylight illuminance, and discomfort glare are described. The open source Modelica and JModelica software tools were used to determine the optimum state of control given inputs of window heat gains and lighting loads for a 24-hour optimization horizon. Penalty functions for glare and view/ daylight quality were implemented as constraints. The control system was tested on a low-power controller (1.4 GHz single core with 2 GB of RAM) to evaluate feasibility. The target platform is a low-cost ($35/unit) embedded controller with 1.2 GHz dual-core cpu and 1 GB of RAM. Configuration and commissioning of the curtainwall unit was designed to be largely plug and play with minimal inputs required by the manufacturer through a web-based user interface. An example application was used to demonstrate optimal control of a three-zone electrochromic window for a south-facing zone. The overall approach was deemed to be promising. Further engineering is required to enable scalable, turnkey solutions