Thermoeconomic Analysis of a Dual-Purpose Power and Desalination Plant

2000 ◽  
Author(s):  
Javier Uche ◽  
Luis Serra ◽  
Antonio Valero
Keyword(s):  
Research Work ◽  
Energy Systems ◽  
Complex Energy ◽  
Dual Purpose ◽  
Analysis Techniques ◽  
Desalination Plant ◽  
Potential Energy Saving ◽  
Additional Fuel Consumption ◽  
Consumption Efficiency ◽  
Additional Fuel

Abstract Thermoeconomic analysis techniques are very convenient tools to be applied in the analysis of highly complex systems as it is proved in this paper. A thermoeconomic analysis has been applied to an actual dual-purpose power and desalination plant considering the dual plant as a whole system. Probably due to its complexity, this type of plants are usually analyzed separately, considering the power and the desalination plant as two independent systems, thus neglecting component interactions and avoiding the potential energy saving derived from the combined analysis. The most important aim of this paper consists on checking the validity of thermoeconomic analysis when applied to actual complex energy systems. Thus, this paper contains some of the most important results of a research work [1] in which a critical analysis of thermoeconomic applications when applied to actual complex energy systems, as a dual plant is. The paper is focused on (a) the thermoeconomic diagnosis of the plant operation, in which the interactions between the plant components have been studied and quantified in terms of additional fuel consumption, efficiency variation, and so on; (b) the optimization of the plant by maximizing the installation benefit, which is a consequence of the thermoeconomic cost analysis..

scholarly journals Role of the national energy system modelling in the process of the policy development

2012 ◽  
Vol 16 (3) ◽  
pp. 703-715 ◽  
Author(s):  
Matevz Pusnik ◽  
Boris Sucic ◽  
Andreja Urbancic ◽  
Stane Merse
Keyword(s):  
System Analysis ◽  
Renewable Energy Sources ◽  
Research Work ◽  
Calculated Data ◽  
Energy Systems ◽  
Energy System ◽  
Alternative Possibilities ◽  
System Modelling ◽  
Small Energy ◽  
New Approach

Strategic planning and decision making, nonetheless making energy policies and strategies, is very extensive process and has to follow multiple and often contradictory objectives. During the preparation of the new Slovenian Energy Programme proposal, complete update of the technology and sector oriented bottom up model of Reference Energy and Environmental System of Slovenia (REES-SLO) has been done. During the redevelopment of the REES-SLO model trade-off between the simulation and optimisation approach has been done, favouring presentation of relations between controls and their effects rather than the elusive optimality of results which can be misleading for small energy systems. Scenario-based planning was integrated into the MESAP (Modular Energy System Analysis and Planning) environment, allowing integration of past, present and planned (calculated) data in a comprehensive overall system. Within the paper, the main technical, economic and environmental characteristics of the Slovenian energy system model REES-SLO are described. This paper presents a new approach in modelling relatively small energy systems which goes beyond investment in particular technologies or categories of technology and allows smooth transition to low carbon economy. Presented research work confirms that transition from environment unfriendly fossil fuelled economy to sustainable and climate friendly development requires a new approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness about new opportunities in exploitation of energy efficiency and renewable energy sources.

Generation of Complex Energy Systems by Combination of Elementary Processes

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
A. Toffolo ◽  
S. Rech ◽  
A. Lazzaretto
Keyword(s):  
Design Optimization ◽  
Ad Hoc ◽  
Energy Systems ◽  
Optimization Procedure ◽  
Thermodynamic Cycle ◽  
Energy System ◽  
Design Parameters ◽  
System Configuration ◽  
Complex Energy ◽  
Synthesis Design

The fundamental challenge in the synthesis/design optimization of energy systems is the definition of system configuration and design parameters. The traditional way to operate is to follow the previous experience, starting from the existing design solutions. A more advanced strategy consists in the preliminary identification of a superstructure that should include all the possible solutions to the synthesis/design optimization problem and in the selection of the system configuration starting from this superstructure through a design parameter optimization. This top–down approach cannot guarantee that all possible configurations could be predicted in advance and that all the configurations derived from the superstructure are feasible. To solve the general problem of the synthesis/design of complex energy systems, a new bottom–up methodology has been recently proposed by the authors, based on the original idea that the fundamental nucleus in the construction of any energy system configuration is the elementary thermodynamic cycle, composed only by the compression, heat transfer with hot and cold sources and expansion processes. So, any configuration can be built by generating, according to a rigorous set of rules, all the combinations of the elementary thermodynamic cycles operated by different working fluids that can be identified within the system, and selecting the best resulting configuration through an optimization procedure. In this paper, the main concepts and features of the methodology are deeply investigated to show, through different applications, how an artificial intelligence can generate system configurations of various complexity using preset logical rules without any “ad hoc” expertise.

Complex Energy Networks Optimization: Part II — Software Application to a Case Study

2020 ◽  
Author(s):  
M. A. Ancona ◽  
M. Bianchi ◽  
L. Branchini ◽  
A. De Pascale ◽  
F. Melino ◽  
...  
Keyword(s):  
Energy Production ◽  
Internal Combustion Engines ◽  
Energy Systems ◽  
Distribution Networks ◽  
Optimal Scheduling ◽  
Small Scale ◽  
Complex Energy ◽  
Energy Networks ◽  
Energy Network

Abstract In order to increase the exploitation of the renewable energy sources, the diffusion of the distributed generation systems is grown, leading to an increase in the complexity of the electrical, thermal, cooling and fuel energy distribution networks. With the main purpose of improving the overall energy conversion efficiency and reducing the greenhouse gas emissions associated to fossil fuel based production systems, the design and the management of these complex energy grids play a key role. In this context, an in-house developed software, called COMBO, presented and validated in the Part I of this study, has been applied to a case study in order to define the optimal scheduling of each generation system connected to a complex energy network. The software is based on a non-heuristic technique which considers all the possible combination of solutions, elaborating the optimal scheduling for each energy system by minimizing an objective function based on the evaluation of the total energy production cost and energy systems environmental impact. In particular, the software COMBO is applied to a case study represented by an existing small-scale complex energy network, with the main objective of optimizing the energy production mix and the complex energy networks yearly operation depending on the energy demand of the users. The electrical, thermal and cooling needs of the users are satisfied with a centralized energy production, by means of internal combustion engines, natural gas boilers, heat pumps, compression and absorption chillers. The optimal energy systems operation evaluated by the software COMBO will be compared to a Reference Case, representative of the current energy systems set-up, in order to highlight the environmental and economic benefits achievable with the proposed strategy.

scholarly journals The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1765 ◽  
Author(s):  
Vladimir Shepelev ◽  
Sergei Aliukov ◽  
Kseniya Nikolskaya ◽  
Salavat Shabiev
Keyword(s):  
Data Collection ◽  
Road Traffic ◽  
Negative Consequences ◽  
The Road ◽  
Traffic Characteristics ◽  
Traffic Capacity ◽  
Traffic Data Collection ◽  
Fuzzy Logic Method ◽  
Additional Fuel Consumption ◽  
Additional Fuel

The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.

China's Energy and Resource Uses: Continuity and Change

1998 ◽  
Vol 156 ◽  
pp. 935-951 ◽  
Author(s):  
Vaclav Smil
Keyword(s):  
20Th Century ◽  
Energy Systems ◽  
Energy Resources ◽  
Complex Energy ◽  
Continuity And Change ◽  
Resource Endowment

Recent writings on China's achievements during the last quarter of the 20th century stress, almost without exception, the enormity of change. But, for both universal and particular reasons, this survey of the country's energy resources and uses will stress continuity as much as change. Taking the inertia of complex energy systems as the key universal given, the most important particular explanation lies in peculiarities of China's resource endowment.

Thermoeconomic Diagnosis: Zooming Strategy Applied to Highly Complex Energy Systems: Part 1 — Detection and Localization of Anomalies

2002 ◽  
Author(s):  
Vittorio Verda ◽  
Luis Serra ◽  
Antonio Valero
Keyword(s):  
Inverse Problem ◽  
Complex Systems ◽  
Reference Conditions ◽  
Energy Systems ◽  
Combined Cycle ◽  
Operating Conditions ◽  
The Other ◽  
Complex Energy ◽  
Operational Diagnosis ◽  
Detection And Localization

This paper presents a summary of our most recent advances in Thermoeconomic Diagnosis, developed during the last three years [1–3], and how they can be integrated in a zooming strategy oriented towards the operational diagnosis of complex systems. In fact, this paper can be considered a continuation of the work presented at the International Conference ECOS’99 [4–6] in which the concepts of malfunction (intrinsic and induced) and dysfunction [7] were analyzed in detail. These concepts greatly facilitate and simplify the analysis, the understanding and the quantification of how the presence of an anomaly, or malfunction, affects the behavior of the other plant devices and of the whole system. However, what remains unresolved is the so-called inverse problem of diagnosing [3], i.e. given two states of the plant (actual and reference operating conditions), find the causes of deviation of the actual conditions with respect to the reference conditions. The present paper tackles this problem and describes significant advances in addressing how to locate the actual causes of malfunctions, based on the application of procedures for filtering induced effects that hide the real causes of degradation. In this paper a progressive zooming thermoeconomic diagnosis procedure, which allows one to concentrate the analysis in an ever more specific zone is described and applied to a combined cycle. In an accompanying paper (part 2 [8]) the accuracy of the diagnosis results is discussed, depending on choice of the thermoeconomic model.

Characterization of Gangatiri cattle breed inGangatic plains of Eastern Uttar Pradesh

2016 ◽  
Author(s):  
Basant Kumar Bhinchhar ◽  
Vinod Kumar Paswan ◽  
SPACE Saroj ◽  
Satya Prakash Yadav ◽  
Prity Singh
Keyword(s):  
Research Work ◽  
Uttar Pradesh ◽  
Cattle Breed ◽  
The Other ◽  
Indigenous Cattle ◽  
Dual Purpose ◽  
Characteristic Features ◽  
Eastern Uttar Pradesh ◽  
Bihar State

The present research work for characterization of Gangatiri cattle was conducted on a herd maintained at Mirzapur district of Uttar Pardesh. This dual-purpose indigenous cattle breed is found mainly in Varanasi, Chandauli, Ghazipur and Ballia distric of eastern Utter Pradesh and adjacent areas of Bihar state of India., Medium sized dewlap, small brisket, sharp and smooth shoulder with medium legs was present in most of the animals. Medium sized bowl shaped udder with cylindrical shaped medium sized teats and prominent, crooked and branched milk veins were the other characteristic features of the herd. The overall least squares’ means for Ischium width of Rump (ISWR), Top line (TPL), Udder length (UL), Udder diameter (UD), Teat length (TtL), Udder circumference (UC), Distance between fore to fore (DFF) and rear to rear teats (DRR) were 20.79±0.57, 144.64±1.67, 26.17±1.21, 11.03±1.40, 5.33±0.31, 68.84±3.89, 6.03±0.50 and 4.93±0.21 cm, respectively.

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