[HTML][HTML] A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions
The emergence of renewable-energy-source (RES) envelope solutions, building retrofit
requirements and advanced energy technologies brought about challenges to the existing …
requirements and advanced energy technologies brought about challenges to the existing …
The energy hub: An extensive survey on the state-of-the-art
Today's world energy-related challenges, ranging from anthropogenic climate change to
continuous growth of demand for different energy forms, have enforced planners of energy …
continuous growth of demand for different energy forms, have enforced planners of energy …
Operation of energy hubs with storage systems, solar, wind and biomass units connected to demand response aggregators
Abstract Energy Hubs (EHs) play an important role in sustainable cities; they are multi-
carrier energy systems that can satisfy different energy needs of consumers by relying on the …
carrier energy systems that can satisfy different energy needs of consumers by relying on the …
Energy management system for hybrid PV-wind-battery microgrid using convex programming, model predictive and rolling horizon predictive control with experimental …
The integration of energy storage technologies with renewable energy systems can
significantly reduce the operating costs for microgrids (MG) in future electricity networks. This …
significantly reduce the operating costs for microgrids (MG) in future electricity networks. This …
Information gap decision theory (IGDT)-based robust scheduling of combined cooling, heat and power energy hubs
Energy hubs (EHs) are units wherein multiple energy carriers can be converted, stored and
conditioned to simultaneously supply different energy demands. In this paper, a new model …
conditioned to simultaneously supply different energy demands. In this paper, a new model …
Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads
MA Mirzaei, M Zare Oskouei… - IET Generation …, 2020 - Wiley Online Library
Integrated energy carriers in the framework of energy hub system (EHS) have an undeniable
role in reducing operating costs and increasing energy efficiency as well as the system's …
role in reducing operating costs and increasing energy efficiency as well as the system's …
[HTML][HTML] Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods
C Roldán-Blay, G Escrivá-Escrivá, C Roldán-Porta… - Energy, 2023 - Elsevier
As energy prices rise, optimizing renewable power plant sizing is vital, especially in areas
with unreliable electricity supply due to distant transmission lines. This study addresses this …
with unreliable electricity supply due to distant transmission lines. This study addresses this …
Robust scheduling of thermal, cooling and electrical hub energy system under market price uncertainty
Multi-carrier hub energy system (MCHES) satisfies different energy demands such as
heating, cooling, and energy demand by using different energy sources simultaneously. In …
heating, cooling, and energy demand by using different energy sources simultaneously. In …
Distributed robust operational optimization of networked microgrids embedded interconnected energy hubs
N Nikmehr - Energy, 2020 - Elsevier
An interconnected energy hubs (EHs) framework aims to enhance the efficiency of the
multicarrier energy system through realizing optimal coordination among existing players. In …
multicarrier energy system through realizing optimal coordination among existing players. In …
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
T Ahmad, H Chen - Energy, 2018 - Elsevier
Medium-term and long-term energy prediction is essential for the planning and operations of
the smart grid eco-system. The prediction of next year and next month energy demand of …
the smart grid eco-system. The prediction of next year and next month energy demand of …