Decomposition method for optimizing long-term multi-area energy production with heat and power storages

Techno-economic and environmental assessment of the coordinated operation of regional grid-connected energy hubs considering high penetration of wind power

“…In this regard, the energy hub system as an emerging concept in the context of the integrated multi-carrier energy systems was widely welcomed (Xie et al (2020b)). Grid-connected energy hubs have a great potential for widespread integration of RESs as distributed means of generation to increase the energy efficiency and flexibility of the integrated energy systems (Dini et al (2019)) as well as to reduce the waste of energy (Abdollahi & Lahdelma (2020)). These systems link independent natural gas and electricity networks at the subtransmission and distribution levels and then optimize them as an integrated system by relying on the energy conversion facilities such as combined heat and power (CHP), gas boiler (GB), and energy storage systems (Mohammadi et al (2017)).…”

Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems

“…Energy technologies linking heat and power will play a key role in the integration between heating/cooling and electricity networks, and therefore a lot of research has focused on the optimal design and operation of embedded polygeneration systems and their integration with energy networks, including natural gas and biomass dual source technologies [15], [16], hybrid solar-biomass systems [17], [18], gas/renewable energy source integrated polygeneration systems [19], different typologies of building-integrated vs. centralised heat pumps [20], [21], [22], or thermal energy storage options for district heating [23]. A model for cost-optimal long-term multi-area combined heat and power production with heat and power storage and power transmission between areas has been presented in [24], minimizing the total production and transmission cost using a novel decomposition method to solve larger systems.…”

“… Local electricity grid. Constraints associated with the local power network (assuming any CHP plants or large HPs would be connected to the same network substation) need to ensure that the aggregate effect of baseline power demand ( ), CHP generation and HP consumption does not exceed substation capacity (24). This constraint also accounts for limits on any reverse power flows (i.e.…”

An IoT-Based Prediction Technique for Efficient Energy Consumption in Buildings

“…It is, therefore, well suited for energy consumption prediction and can be adapted for monthly consumption [18]. To predict long-term energy consumption, in [19], multiple regression analysis methods are utilized, while the decomposition method is described in [20]. Moreover, the Exponentially Weighted Moving Average (EWMA) [21] method is a useful and easyto-understand method for the prediction of future demand.…”