A Tool for Thermoeconomic Analysis and Optimization of Gas, Steam, and Combined Plants

1997 ◽  
Vol 119 (4) ◽  
pp. 885-892 ◽  
Author(s):  
A. Agazzani ◽  
A. F. Massardo
Keyword(s):  
Cost Model ◽  
Optimization Technique ◽  
Energy System ◽  
Physical Structure ◽  
Capital Cost ◽  
Marginal Costs ◽  
Electricity Cost ◽  
Combined Cycles ◽  
Thermodynamic Variables ◽  
Definition Of

The aim of this work is to demonstrate the capability of an original “modular” simulator tool for the thermoeconomic analysis of thermal-energy systems. The approach employed is based on the Thermoeconomic Functional Analysis (T.F.A.), which, through definition of the “functional productive diagram” and the establishment of the capital cost function of each component, allows the marginal costs and the unit product costs, i.e., the “internal economy,” of the functional exergy flows to be obtained in correspondence to the optimum point. The optimum design of the system is obtained utilizing a traditional optimization technique, which includes both physical structure of the energy system described in terms of thermodynamic variables and cost model (capital cost of the components, maintenance and amortization factors, unit fuel cost, unit electricity cost, etc.). As an application example to show the practicability of the tool, the thermoeconomic analysis of various complex multipressure combined cycles (with or without steam reheating) is carried out. The results are analyzed and discussed in depth.

A Tool for Thermoeconomic Analysis and Optimization of Gas, Steam and Combined Plants

1996 ◽  
Author(s):  
A. Agazzani ◽  
A. F. Massardo
Keyword(s):  
Cost Model ◽  
Optimization Technique ◽  
Energy System ◽  
Physical Structure ◽  
Capital Cost ◽  
Marginal Costs ◽  
Electricity Cost ◽  
Combined Cycles ◽  
Thermodynamic Variables ◽  
Definition Of

The aim of this work is to demonstrate the capability of an original “modular” simulator tool for the thermoeconomic analysis of thermal-energy systems. The approach employed is based on the Thermoeconomic Functional Analysis (T.F.A.) which, through definition of the “functional productive diagram“ and the establishment of the capital cost function of each component, allows the marginal costs and the unit product costs, i.e. the “internal economy“, of the functional exergy flows to be obtained in correspondence to the optimum point. The optimum design of the system is obtained utilizing a traditional optimization technique which includes both physical structure of the energy system described in terms of thermodynamic variables and cost model (capital cost of the components, maintenance and amortization factors, unit fuel cost, unit electricity cost, etc.). As an application example to show the practicability of the tool, the thermoeconomic analysis of various complex multi-pressure combined cycles (with or without steam reheating) is carried out. The results are analyzed and discussed in depth.

Direct Calculation of Average and Marginal Costs From the Productive Structure of an Energy System

1995 ◽  
Vol 117 (3) ◽  
pp. 171-178 ◽  
Author(s):  
A. Lazzaretto ◽  
A. Macor
Keyword(s):  
Unit Cost ◽  
Direct Calculation ◽  
Optimization Methods ◽  
Energy System ◽  
Marginal Costs ◽  
Unit Costs ◽  
Average Unit ◽  
Productive Structure ◽  
Definition Of ◽  
Direct Inspection

Most of the thermoeconomic accounting and optimization methods for energy systems are based upon a definition of the productive purpose for each component. On the basis of this definition, a productive structure of the system can be defined in which the interactions among the components are described by their fuel product. The aim of this work is to calculate marginal and average unit costs of the exergy flows starting from their definitions by a direct inspection of the productive structure. As a main result, it is noticed that the only differences between marginal and average unit cost equations are located in the capital cost terms of input-output cost balance equations of the components.

Smart Grid Implementation of the Industrial Sector

2022 ◽  
pp. 721-735
Author(s):  
Amam Hossain Bagdadee ◽  
Li Zhang
Keyword(s):  
Smart Grid ◽  
Energy Demand ◽  
Optimization Technique ◽  
System Security ◽  
Energy System ◽  
Industrial Sector ◽  
Second Step ◽  
Test Results ◽  
System Transformation ◽  
Swarm Optimization

In the development of smart grid solutions, the contribution of industrial consumers is prime essential to ensure the energy system transformation. The present article introduces a covenant with the implementation of an economic dispatch (ED) in the electrical framework with the smart grid. The proposed ED strategy is comprised of two steps; the first step includes the swarm optimization technique of energy ED with the net loss of the power system and the second step consists of an ED that considers the cutoff points of system security. The prime goal of the second step is to minimize the net loss and the foundation development of the generator cost function. The test framework is comprised of four generators with one battery storage apparatus that considers the energy demand. The ED will perform for 24 hours. The test results show that the two-step ED technique not only reduces system losses but also the fuel consumption of the system as well. This article gives ideas to the industrial consumers to implement a smart grid in the industrial sector.

Governmental Service Transformation through Cost Scenarios Simulation

2012 ◽  
pp. 791-805
Author(s):  
Yannis Charalabidis
Keyword(s):  
Cost Estimation ◽  
Information Needs ◽  
Cost Model ◽  
Lessons Learned ◽  
Future Research ◽  
Activity Based Costing ◽  
Cost Calculations ◽  
System Interoperability ◽  
Definition Of ◽  
Office System

Formal methods for measuring the impact of interoperability on digital public services is emerging as an important research challenge in electronic government. The eGOVSIM model that is described in this chapter aims to provide administrations with a tool to calculate the gains from digitising and making interoperable services for citizens and businesses. The chapter presents existing methods for calculating the cost of services for the administration and the service consumers, such as the Standard Cost Model (SCM) and the Activity Based Costing (ABC). Then it goes on presenting a toolset for analytical cost calculations based on the various process steps and the information needs of each governmental service. The eGOVSIM toolset supports the definition of several service provision scenarios, such as front/back office system interoperability, cross-system or cross-organisational interoperability allowing the calculation of time, effort and cost elements, and relevant gains from the application of each scenario. Application results for two cases / scenarios are also presented, so that the reader can see the applicability and overall value of the approach. Lessons learned and future research directions for service cost estimation are also described.

scholarly journals Optimizing Energy Consumption in the Home Energy Management System via a Bio-Inspired Dragonfly Algorithm and the Genetic Algorithm

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 406 ◽  
Author(s):  
Irshad Hussain ◽  
Majid Ullah ◽  
Ibrar Ullah ◽  
Asima Bibi ◽  
Muhammad Naeem ◽  
...  
Keyword(s):  
Smart Grid ◽  
Waiting Time ◽  
Optimization Technique ◽  
Load Management ◽  
Modern World ◽  
Demand Side ◽  
Trade Off ◽  
Dragonfly Algorithm ◽  
Electricity Cost ◽  
Home Energy Management

Due to the exponential increase in the human population of this bio-sphere, energy resources are becoming scarce. Because of the traditional methods, most of the generated energy is wasted every year in the distribution network and demand side. Therefore, researchers all over the world have taken a keen interest in this issue and finally introduced the concept of the smart grid. Smart grid is an ultimate solution to all of the energy related problems of today’s modern world. In this paper, we have proposed a meta-heuristic optimization technique called the dragonfly algorithm (DA). The proposed algorithm is to a real-world problem of single and multiple smart homes. In our system model, two classes of appliances are considered; Shiftable appliances and Non-shiftable appliances. Shiftable appliances play a significant role in demand side load management because they can be scheduled according to real time pricing (RTP) signal from utility, while non-shiftable appliances are not much important in load management, as these appliances are fixed and cannot be scheduled according to RTP. On behalf of our simulation results, it can be concluded that our proposed algorithm DA has achieved minimum electricity cost with a tolerable waiting time. There is a trade-off between electricity cost and waiting time because, with a decrease in electricity cost, waiting time increases and vice versa. This trade-off is also obtained by our proposed algorithm DA. The stability of the grid is also maintained by our proposed algorithm DA because stability of the grid depends on peak-to-average ratio (PAR), while PAR is reduced by DA in comparison with an unscheduled case.

TECHNO-ECONOMIC ANALYSIS OF IGCC POWER GENERATION SYSTEMS BASED ON FLUIDIZED BED GASIFIERS

1999 ◽  
Vol 23 (1B) ◽  
pp. 213-223
Author(s):  
A. Ong’iro ◽  
V.I. Ugursal ◽  
A.M. Al Taweel
Keyword(s):  
Power Generation ◽  
Fluidized Bed ◽  
Power Plants ◽  
Economic Aspects ◽  
Electricity Cost ◽  
Combined Cycles ◽  
Integrated Gasification ◽  
Pollution Emissions ◽  
Power Generation Systems

A computerized techno-economic model that can be used to predict the thermal, environmental and economic aspects of integrated gasification combined cycles (IGCC) using fluidized bed gasifiers was developed. A brief description of the model is presented and representative applications of the model are demonstrated with a case study. The results verify the favourable characteristics of IGCC systems (i.e. high thermal efficiency, low levelized unit electricity cost, and reduced pollution emissions) and illustrate the effect of various parameters on the performance of IGCC power plants. Models for IGCC with moving bed and entrained bed gasifiers are presented elsewhere.

Conceptual Analysis of the Economic Feasibility of Fission Electric Cell Reactors

2002 ◽  
Author(s):  
C. Morrow ◽  
G. Rochau ◽  
J. Cash ◽  
D. King
Keyword(s):  
Energy Conversion ◽  
Cost Model ◽  
The United States ◽  
Capital Cost ◽  
Economic Feasibility ◽  
United States Department ◽  
Value Analysis ◽  
Direct Energy Conversion ◽  
Wide Range ◽  
Direct Energy

The United States Department of Energy, Nuclear Energy Research Initiative (NERI) Direct Energy Conversion (DEC) project began in August of 1998 with the goal of developing a direct energy conversion process suitable for commercial development. With roughly two thirds of the project completed, we believe a viable direct energy device could be economic. This paper describes the financial basis behind that belief for one proposed DEC reactor, the magnetically insulated fission electric cell (FEC). It also illustrates the value of economic analysis even in these early phases of a research project. The financial basis consists of a conceptual level Economic Model comprised of five modules. The Design Model provides technical specification to other modules. The Fuel Cost Model estimates fuel expenses based on current spot market prices applied over a wide range of fuel enrichment. The Operating Cost Model uses published correlations to provide rough order of magnitude non-fuel operating costs. The Capital Cost model uses analogy and parametric estimating techniques to generate capital cost estimates for a DEC power plant. Finally, the financial model combines output from the other models to produce a Net Present Value analysis with cost of generation as the independent variable. Model results indicate that several FEC geometric configurations could be economic. Within these configurations, optimums exist. Finally, the model demonstrates that the most efficient design is not necessarily the most economic.

scholarly journals A methodology for designing decentralised energy systems with predictive control for heat pumps and thermal storage

2019 ◽  
Vol 111 ◽  
pp. 06014
Author(s):  
Andrew Lyden ◽  
Paul Tuohy
Keyword(s):  
Predictive Control ◽  
Thermal Characteristic ◽  
Thermal Characteristics ◽  
Energy Systems ◽  
Thermal Storage ◽  
Energy System ◽  
Heat Pumps ◽  
Hot Water ◽  
Water Tank ◽  
Electricity Cost

Decentralised energy systems provide the potential for adding energy system flexibility by separating demand/supply dynamics with demand side management and storage technologies. They also offer an opportunity for implementing technologies which enable sector coupling benefits, for example, heat pumps with controls set to use excess wind power generation. Gaps in this field relating to planning-level modelling tools have previously been identified: thermal characteristic modelling for thermal storage and advanced options for control. This paper sets out a methodology for modelling decentralised energy systems including heat pumps and thermal storage with the aim of assisting planning-level design. The methodology steps consist of: 1) thermal and electrical demand and local resource assessment methods, 2) energy production models for wind turbines, PV panels, fuel generators, heat pumps, and fuel boilers, 3) bi-directional energy flow models for simple electrical storage, hot water tank thermal storage with thermal characteristics, and a grid-connection, 4) predictive control strategy minimising electricity cost using a 24-hour lookahead, and 5) modelling outputs. Contributions to the identified gaps are examined by analysing the sensible thermal storage model with thermal characteristics and the use of the predictive control. Future extensions and applications of the methodology are discussed.

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