scholarly journals Process Control and Energy Efficiency

2020 ◽  
Vol 11 (1) ◽  
pp. 423-445
Author(s):  
Jodie M. Simkoff ◽  
Fernando Lejarza ◽  
Morgan T. Kelley ◽  
Calvin Tsay ◽  
Michael Baldea
Keyword(s):  
Energy Efficiency ◽  
Process Control ◽  
Control Systems ◽  
Demand Response ◽  
Process Integration ◽  
Good Control ◽  
Chemical Plants ◽  
Output Variability ◽  
Operating Strategies ◽  
The Impact

We review the impact of control systems and strategies on the energy efficiency of chemical processes. We show that, in many ways, good control performance is a necessary but not sufficient condition for energy efficiency. The direct effect of process control on energy efficiency is manyfold: Reducing output variability allows for operating chemical plants closer to their limits, where the energy/economic optima typically lie. Further, good control enables novel, transient operating strategies, such as conversion smoothing and demand response. Indirectly, control systems are key to the implementation and operation of more energy-efficient plant designs, as dictated by the process integration and intensification paradigms. These conclusions are supported with references to numerous examples from the literature.

Reducing the Impact of Source Information Uncertainty in Intelligent Automated Thermal Process Control Systems in Ensuring Reliable Operation of Power Equipment

Vestnik MEI ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 78-87
Author(s):  
Edik K. Arakelyan ◽  
◽  
Ivan A. Shcherbatov ◽  
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Power Equipment ◽  
Source Information ◽  
Equipment Operation ◽  
Process Control Systems ◽  
Automated Process ◽  
The Impact

The uncertainty of the source information is used to solve key tasks in an intelligent automated thermal process control system affects the calculation of control actions, the implementation of equipment optimal operating modes and, as a result, leads to degraded reliability. As a rule, this type of information can be qualitative (the use of expert knowledge) or quantitative in nature. In this regard, it is extremely important to reduce the impact of uncertainty. The aim of the study is to identify the types and origins of uncertainty in the source information used by an intelligent automated process control system and to develop approaches to reduce its impact on the reliability of power equipment operation. The approaches used to ensure the specified indicators of reliability, efficiency and environmental friendliness in modern intelligent automated process control systems are based on predictive strategies, according to which the technical condition of equipment and specific degradation processes are predicted. This means that various types of uncertainty can have a significant negative impact. To reduce the influence of uncertainty of the initial information that affects the reliability of power equipment operation, the use of artificial neural networks is proposed. Their application opens the possibility to predict the occurrence of equipment defects and failures based on retrospective data for specified forecast time intervals. A method for reducing the impact of anomalies contained in the source information used in an intelligent process control system for energy facilities is demonstrated. Data omissions and outliers are investigated, the elimination of which reduces the impact of uncertainty and improves the quality of solving key problems in intelligent automated process control systems. Experimental studies were carried out that made it possible to identify the mathematical methods for removing omissions and anomalies in the source information in the best way. Methodological aspects of eliminating various types of uncertainty that exist in managing of power facilities by means of intelligent automated process control systems at the key stages of the power equipment life cycle are described.

scholarly journals The EPC II Theory. Accounting in Enterprise Business Process Control Systems

2012 ◽  
Vol 3 (1) ◽  
pp. 71-91
Author(s):  
Mirosław Zaborowski
Keyword(s):  
Process Control ◽  
Control Systems ◽  
Business Process ◽  
Business Processes ◽  
Decision Variable ◽  
Generally Accepted Accounting Principles ◽  
Business Transactions ◽  
Accounting Principles ◽  
Process Control Systems ◽  
The Impact

The EPC II Theory. Accounting in Enterprise Business Process Control Systems The 1 to 1 relationships of charts of accounts, accounting journals and tables of accounting records with corresponding tables of accounts, business transactions and transactional records in the framework EPC II system have been presented in the paper. These tables are the main information kinds, that is tables in which one can write down all information needed for management and business process control in any enterprise, or they are composed of them. In this way it has been shown that the Theory of Enterprise Process Control is compatible with generally accepted accounting principles. This analysis is an example of demonstrating conformity of the EPC II theory with real management and process control systems. The main information kinds with their key attributes were taken from the complete list of them, which is included in the paper. What is more, the tight relationships between resource flow in business processes and turnover on the accounts of the framework EPC II system have been discussed. Owing to these relationships one can determine the impact of any decision variable on the accounting records in a given enterprise.

scholarly journals A Case Study of CPS Energy’s Management of Disruptive Forces

2017 ◽  
Vol 4 (2) ◽  
pp. 130
Author(s):  
John Soltau ◽  
Ryan Lunsford
Keyword(s):  
Energy Efficiency ◽  
Customer Satisfaction ◽  
Technological Innovation ◽  
Demand Response ◽  
Economic Incentive ◽  
Energy Resources ◽  
Utility Companies ◽  
The Impact

Two major forces continue to drive disruption in the utility space; technological innovation in the form of distributive energy resources (DER), and energy efficiency/demand response (EE/DR). These forces drive down demand which, in turn, directly leads to decreased revenues for utility companies. As a result, the utility responds by seeking higher rates, which decreases demand and increases economic incentive for DER and EE/DR (Kind, 2013). These two disruptions continue their influence as these increased rates lead to lower customer satisfaction levels, incentivizing the adoption of additional DER and EE/DR products, perpetuating the cycle. As a municipal monopoly CPS Energy (CPSE) faces a number of real threats and opportunities as they ride this wave of disruption. This case study will analyze the impact of the DER and EE/DR forces on CPSE and their opportunities.

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