Nearly optimal demand side management for energy, thermal, EV and storage loads: An Approximate Dynamic Programming approach for smarter buildings

This paper proposes a distributed feedback-based optimization method, based on the principles of approximate dynamic programming, aiming for the optimal management and energy efficient operation of grid connected buildings. Modern building management faces multiple challenges, aiming for, energy eff...

Full description

Saved in:
Bibliographic Details
Published in:Energy and buildings 2022-01, Vol.255, p.111676, Article 111676
Main Authors: Korkas, Christos D., Terzopoulos, Michalis, Tsaknakis, Christos, Kosmatopoulos, Elias B.
Format: Article
Language:English
Subjects:
Buildings
Demand side management
Dynamic programming
Electric vehicles
Energy
Energy costs
Energy efficiency
Energy management
Energy storage
EV charging
Integration
Internal energy
Optimization
Renewable energy
Renewable energy sources
Storage systems
System effectiveness
Thermal comfort optimization
User requirements
User satisfaction
World problems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a distributed feedback-based optimization method, based on the principles of approximate dynamic programming, aiming for the optimal management and energy efficient operation of grid connected buildings. Modern building management faces multiple challenges, aiming for, energy efficiency, RES integration, EV operation, cost reduction and of course user comfort. Therefore, this paper adopts a multi-criterion cost objective, where minimum energy costs are required without sacrificing user preferences and satisfaction. Different type of loads are presented, including both thermostatically controllable loads (simulated and modelled in Energy Plus), and controllable electric vehicles (EV) and energy storage systems (ESS). Extensive simulations showcase the effectiveness of the proposed method introducing comparisons with different strategies by exploiting renewable energy integration, varying pricing tariffs and the stored energy of EVs and ESS units. A robustness evaluation of the proposed method is presented, validating the performance under different conditions. Finally, the paper demonstrates that the proposed strategy can be utilized for the management of real-world problems and buildings.
ISSN:0378-7788
1872-6178
DOI:10.1016/j.enbuild.2021.111676