Operation optimization of integrated energy system under a renewable energy dominated future scene considering both independence and benefit: A review
J Li, J Liu, P Yan, X Li, G Zhou, D Yu - Energies, 2021 - mdpi.com
An integrated energy system interconnects multiple energies and presents a potential for
economics improvement and energy sustainability, which has attracted extensive attention …
economics improvement and energy sustainability, which has attracted extensive attention …
Real-time optimization using reinforcement learning
This work introduces a novel methodology for real-time optimization (RTO) of process
systems using reinforcement learning (RL), where optimal decisions in response to external …
systems using reinforcement learning (RL), where optimal decisions in response to external …
Mixed-integer nonlinear programming 2018
NV Sahinidis - Optimization and Engineering, 2019 - Springer
Abstract Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that
addresses nonlinear problems with continuous and integer variables. MINLP has proven to …
addresses nonlinear problems with continuous and integer variables. MINLP has proven to …
Simulation-based performance evaluation of model predictive control for building energy systems
The performance of model predictive control can be significantly affected by different choices
of controller parameters such as the time intervals for model discretization and control …
of controller parameters such as the time intervals for model discretization and control …
Multi-objective optimisation of a solar district heating network with seasonal storage for conditions in cities of southern Chile
Rapid urban growth and enhanced quality of life have significantly increased the demands
for indoor heating, especially in the developing world. In Chile, this demand is provided …
for indoor heating, especially in the developing world. In Chile, this demand is provided …
Real-time dispatch optimization for concentrating solar power with thermal energy storage
Concentrating solar power (CSP) plants present a promising path towards utility-scale
renewable energy. The power tower, or central receiver, configuration can achieve higher …
renewable energy. The power tower, or central receiver, configuration can achieve higher …
[HTML][HTML] Optimal real-time dispatching of chillers and thermal storage tank in a university campus central plant
G Campos, Y Liu, D Schmidt, J Yonkoski, D Colvin… - Applied Energy, 2021 - Elsevier
Recent studies have indicated a great potential for applying predictive methodologies to the
operation of Heating, Ventilation and Air Conditioning (HVAC) systems. Particularly for …
operation of Heating, Ventilation and Air Conditioning (HVAC) systems. Particularly for …
Optimizing design and dispatch of a renewable energy system with combined heat and power
We embellish a mixed-integer program that prescribes a set of renewable energy,
conventional generation, and storage technologies to procure, along with a corresponding …
conventional generation, and storage technologies to procure, along with a corresponding …
Development of novel dynamic machine learning-based optimization of a coal-fired power plant
The increasing fraction of intermittent renewable energy in the electrical grid is resulting in
coal-fired boilers now routinely ramp up and down. The current state-of-the-art operation for …
coal-fired boilers now routinely ramp up and down. The current state-of-the-art operation for …
Using real-time electricity prices to leverage electrical energy storage and flexible loads in a smart grid environment utilizing machine learning techniques
With exposure to real-time market pricing structures, consumers would be incentivized to
invest in electrical energy storage systems and smart predictive automation of their home …
invest in electrical energy storage systems and smart predictive automation of their home …