Multiobjective Optimal Scheduling Framework for HVAC Devices in Energy-Efficient Buildings

Chakraborty, Nilotpal; Mondal, Arijit; Mondal, Samrat

doi:10.1109/jsyst.2019.2933308

Cited by 20 publications

(6 citation statements)

References 39 publications

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“…In order to minimize the cost of energy consumption by flexible loads, a nonlinear economic MPC has been presented by maintaining occupant comfort. In [53], authors have proposed a multiobjective optimal scheduling model to control the HVAC systems, especially in smart buildings where maintaining thermal comfort is essential. Two main objective functions are maximizing thermal comfort and minimizing the fluctuation of power.…”

Section: Literature Surveymentioning

confidence: 99%

Active Building as an Energy System: Concept, Challenges, and Outlook

et al. 2021

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Over the last decades, environmental concerns and the global tendency to reduce the use of fossil fuels and replacing them with renewable energy sources (RESs) to face the increasing rate of greenhouse gas (GHG) emissions have increased. Buildings consume a significant amount of energy and therefore, they are responsible for a noticeable part of the total GHG emission. Thus, when we talk about decarbonization of the energy systems, buildings are an important sector of the energy system that needs to be considered. Using RESs, smart technologies, and information and communication technologies along with the improvement in energy efficiency, are a number of endeavors to increase the role of building on the way toward decarbonization. In the new environment, the buildings are not passive players of the energy systems and they are able to take an active role and participate in the energy-efficient operation. While they are able to manage their resources and serve the local energy requirements of the residents in the best possible manner, they can participate in the energy and balancing markets and support the network operators as a service provider. In this paper, we present a comprehensive review of active buildings' concept, challenges and outlook to pave the way for the researchers from academia and industry who want to start working in this area.

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Section: Literature Surveymentioning

confidence: 99%

Active Building as an Energy System: Concept, Challenges, and Outlook

et al. 2021

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“…The SB's behavior is optimized by its EMS, which manages various devices. Controllable devices could include flexible loads, electric vehicles (EVs), both conventional and advanced (vehicleto-grid or V2G), photovoltaics (PVs), energy storage (ES) and shiftable loads (SL) [6]- [13]. The resulting problems are predominantly linear/mixed-integer linear programming (MILP).…”

Section: B Literature Reviewmentioning

confidence: 99%

From Smart to Sustainable to Grid-Friendly: A Generic Planning Framework for Enabling the Transition Between Smart Home Archetypes

Avramidis

Capitanescu

2021

IEEE Trans. Sustain. Energy

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The concept of nearly zero energy (nZE) or sustainable buildings is prominently featured in the EU's energy strategy. However, transitioning to the envisioned era of "smartness" and "sustainability" involves overcoming several technoeconomic barriers: the difference in nature between different building archetypes, the simultaneous management of daily and yearly objectives by the energy management system (EMS), the impact on distribution grids and the required modelling detail. Focusing on addressing such concerns in the scope of the residential sector, this work proposes a generic mixed-integer linear programming (MILP) framework for modelling smart appliances (conventional and new advanced approaches) as well as for the seamless transition of residential homes from passive to smart, to sustainable and finally to grid-friendly entities. The framework includes an adaptive rolling horizon strategy accounting for the yearly nZE objective and a cost-grid impact trade-off strategy for handling flexibility requests. The energy management framework and all developed models are validated in several different scenarios, including a comprehensive sensitivity analysis.

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“…An energy reduction strategy was applied based on thermal feedback and comfort margin. In [22], an optimization problem to minimize the power fluctuation and maximize user comfort based on ASHRAE standard 55 was presented. For this purpose, a graph-based multiobjective optimal scheduling approach was proposed to manage high consumption devices such as ACs, with the goal of obtaining a smoother load profile and maximize users' thermal comfortability.…”

Section: Background Literaturementioning

confidence: 99%

Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort

Khorram

Faria

Abrishambaf

et al. 2020

Sensors

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This paper presents a multiperiod optimization algorithm that is implemented in a Supervisory Control and Data Acquisition system. The algorithm controls lights and air conditioners as flexible loads to reduce the consumption and controls a dishwasher as a deferrable load to implement the load shifting. Several parameters are considered to implement the algorithm for several successive periods in a real building operation. In the proposed methodology, optimization is done regarding user comfort, which is modeled in the objective function related to the indoor temperature in each room, and in the constraints in order to prevent excessive power reduction, according to users’ preferences. Additionally, the operation cycle of a dishwasher is included, and the algorithm selects the best starting point based on the appliance weights and power availability in each period. With the proposed methodology, the building energy manager can specify the moments when the optimization is run with consideration of the operational constraints. Accordingly, the main contribution of the paper is to provide and integrate a methodology to minimize the difference between the actual and the desired temperature in each room, as a measure of comfort, respecting constraints that can be easily bounded by building users and manager. The case study considers the real consumption data of an office building which contains 20 lights, 10 ACs, and one dishwasher. Three scenarios have been designed to focus on different functionalities. The outcomes of the paper include proof of the performance of the optimization algorithm and how such a system can effectively minimize electricity consumption by implementing demand response programs and using them in smart grid contexts.

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Multiobjective Optimal Scheduling Framework for HVAC Devices in Energy-Efficient Buildings

Cited by 20 publications

References 39 publications

Active Building as an Energy System: Concept, Challenges, and Outlook

Active Building as an Energy System: Concept, Challenges, and Outlook

From Smart to Sustainable to Grid-Friendly: A Generic Planning Framework for Enabling the Transition Between Smart Home Archetypes

Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort

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