Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods
نویسندگان
چکیده
منابع مشابه
Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation
This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...
متن کاملUsing Combinatorial Optimization Methods for Quantification Scheduling
Model checking is the process of verifying whether a model of a concurrent system satisfies a specified temporal property. Symbolic algorithms based on Binary Decision Diagrams (BDDs) have significantly increased the size of the models that can be verified. The main problem in symbolic model checking is the image computation problem, i.e., efficiently computing the successors or predecessors of...
متن کاملInvestigation of Efficient Adsorbents Using Transient Analysis of Adsorption Chillers with Simulink
With the availability of waste heat from various power stations and industrial processes, adsorption cooling systems offer advantages compared to mechanical vapour compression systems. The dynamic modelling of such system is very important as it predicts the system performance with time in terms of bed temperature, pressure, cooling capacity and coefficient of performance. Therefore there is a ...
متن کاملImproved Optimization Process for Nonlinear Model Predictive Control of PMSM
Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...
متن کاملOptimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control
In this work, we present a general nonlinear model predictive control (NMPC) framework for low-density polyethylene (LDPE) tubular reactors. The framework is based on a first-principles dynamic model able to capture complex phenomena arising in these units. We first demonstrate the potential of using NMPC to simultaneously regulate and optimize the process economics in the presence of persisten...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2017
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/257/1/012007