Control algorithms to mitigate the effect of uncertainties in residential demand management

2022 ◽  
Vol 306 ◽  
pp. 117971
Author(s):  
Gayan Lankeshwara ◽  
Rahul Sharma ◽  
Ruifeng Yan ◽  
Tapan K. Saha
2005 ◽  
Vol 5 (3-4) ◽  
pp. 249-256 ◽  
Author(s):  
A. Turner ◽  
S. White ◽  
K. Beatty ◽  
A. Gregory

This paper provides details and the results of an evaluation study carried out on the largest residential demand management program in Australia, the Sydney Water Corporation (SWC) ‘Every Drop Counts’ (EDC) residential retrofit program. The evaluation measured the water savings of program participants and compared them to a control group. Savings of 20.9 ± 2.5 kilolitres per household per annum (kL/hh/a) were found from statistical analysis of water meter readings of the sample of single residential households analysed. These individual savings effectively provide SWC with a potential total saving of 3,344 ± 400 megalitres per annum (ML/a) for the single residential houses retrofitted alone, i.e. 80% of the 200,000 households retrofitted to date. The evaluation identified that no ‘decay’ in average savings were found over the maximum four year period assessed. Other factors evaluated during the study included: analysis of individual water efficiency measures; comparison of savings with other evaluations; and savings related to occupancy ratio, geographical grouping, income category and defined socioeconomic categories.


Author(s):  
Barry Hayes ◽  
Igor Melatti ◽  
Toni Mancini ◽  
Milan Prodanovic ◽  
Enrico Tronci

2017 ◽  
Vol 8 (3) ◽  
pp. 1284-1294 ◽  
Author(s):  
Barry Hayes ◽  
Igor Melatti ◽  
Toni Mancini ◽  
Milan Prodanovic ◽  
Enrico Tronci

2020 ◽  
Vol 197 ◽  
pp. 03002
Author(s):  
Alice Mugnini ◽  
Fabio Polonara ◽  
Alessia Arteconi

The building sector represents one of the most energy-consuming worldwide and a great part of its consumption is accounted for residential demand for space heating and cooling. Although it is necessary to promote the buildings energy efficiency, energy flexibility is also of paramount importance to optimize the balance between demand and supply. In fact, an energy flexible building is defined as able to change, in a planned manner, the shape of its energy demand curve, electrical and thermal, while the comfort of the end-users is still guaranteed. Objective of this work is to exploit the energy demand management ability of different buildings composing a cluster, when their aggregated demand derived from electric heating systems (i.e. heat pumps) is subject to demand response (DR) strategies. Users with different occupancy profile are considered. By supposing to be able to activate the energy flexibility of the single building with thermostatic load control, different scenarios of cluster composition are evaluated in order to provide guidelines to implement optimal strategies for energy flexibility exploitation without drawback effects connected to the event.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 989
Author(s):  
Inês F. G. Reis ◽  
Ivo Gonçalves ◽  
Marta A. R. Lopes ◽  
Carlos Henggeler Antunes

Understanding to what extent the emergence of prosumers and prosumagers organized in energy communities can impact the organization and operation of power grids has been one of the major recent research avenues at the European level. In renewable-based communities aiming to reach some level of energy self-sufficiency, a key issue to be addressed is assessing how the presence of end-users playing different roles in the system (self-consuming, producing and trading, performing demand management, etc.) can influence the overall system performance. In this setting, this paper combines Distributed Artificial Intelligence and optimization approaches to assess how prosumagers and consumers pursuing different goals can influence the energy self-sufficiency of a local energy community. The residential demand is accurately modeled, and the agents’ preferences are considered in the modeling to represent a smart community. The results show that although energy community members may have conflicting individual goals, the overall system self-sufficiency can be maximized with economic benefits for all stakeholders, thus illustrating the advantages of energy communities.


Author(s):  
A.V. Bialevich ◽  
◽  
V.N. Grishchuk ◽  
M.M. Tatur ◽  
Y.F. Mikhalkevich ◽  
...  

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