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[HTML][HTML] A novel approach for direct load control of residential air conditioners for demand side management in develo** regions
The rapid growth of air conditioners (ACs) in develo** regions exacerbates some of the
issues present in their electricity systems. Direct Load Control strategies can manage peak …
issues present in their electricity systems. Direct Load Control strategies can manage peak …
Optimized demand side management (DSM) of peak electricity demand by coupling low temperature thermal energy storage (TES) and solar PV
Cooling in the industry sector contributes significantly to the peak demand placed on an
electrical utility grid. New electricity tariff structures include high charges for electricity …
electrical utility grid. New electricity tariff structures include high charges for electricity …
Energy-saving behaviour as a demand-side management strategy in the develo** world: the case of Bangladesh
I Khan - International Journal of Energy and Environmental …, 2019 - Springer
Although demand-side management (DSM) needs to be more customer centred, either with
or without smart technologies (eg smart grid), less attention has been paid to the develo** …
or without smart technologies (eg smart grid), less attention has been paid to the develo** …
Large scale complementary solar and wind energy sources coupled with pumped-storage hydroelectricity for Lower Silesia (Poland)
Photovoltaics and wind generation are currently perceived to be a viable option for reducing
the environmental impact of energy sources while simultaneously showing significant …
the environmental impact of energy sources while simultaneously showing significant …
Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced …
Global transactive energy has become more complex due to the extension of its efficiency.
Thus, multi-residential demand responses pose a new challenge in the critical infrastructure …
Thus, multi-residential demand responses pose a new challenge in the critical infrastructure …
Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization …
This paper presents a magnetically coupled hybrid renewable energy system (RES) for
residential applications. The proposed system integrates the energies of a set of PV panels …
residential applications. The proposed system integrates the energies of a set of PV panels …
Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units
J Wang, R Qiu, B Xu, H Wu, L Tang, M Zhang, M Ding - Energy, 2023 - Elsevier
In order to address the behavioral characteristics of air conditioning users and help load
aggregators avoid high penalties for breach of contract caused by insufficient response …
aggregators avoid high penalties for breach of contract caused by insufficient response …
Data-oriented distributed overall optimization for large-scale HVAC systems with dynamic supply capability and distributed demand response
Z Li, J Zhang - Building and Environment, 2022 - Elsevier
Operational optimization of heating, ventilation, and air-conditioning (HVAC) systems is
crucial to achieving economic and environmental benefits. However, owing to the dynamic …
crucial to achieving economic and environmental benefits. However, owing to the dynamic …
Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems
Q Wu, H Ren, W Gao, P Weng, J Ren - Energy, 2018 - Elsevier
Highlights•An optimization model for the plan and design of a NDES is proposed.•The model
considers the coupling of urban spatial structure and distributed energy resources.•The …
considers the coupling of urban spatial structure and distributed energy resources.•The …
Optimal operation of dynamic (energy) systems: When are quasi-steady models adequate?
S Sass, A Mitsos - Computers & Chemical Engineering, 2019 - Elsevier
Since design optimization faces the challenge of solving inherently large optimization
problems, the complexity of underlying dynamic systems is often reduced by applying quasi …
problems, the complexity of underlying dynamic systems is often reduced by applying quasi …