scholarly journals Exergy and Exergo-Environmental analysis of an ORC for a geothermal application

2021 ◽  
Vol 238 ◽  
pp. 01011
Author(s):  
Daniele Fiaschi ◽  
Giampaolo Manfrida ◽  
Barbara Mendecka ◽  
Moein Shamoushaki ◽  
Lorenzo Talluri

Emissions of contaminants and CO2 are becoming a relevant issue for the development of geothermal energy projects. Organic Rankine (ORC) Cycles present in this light particular appeal in the light of the possibility of total reinjection of the geothermal fluid resource including Non-Condensable Gases (NCGs). The Castelnuovo (IT) case study conditions are considered a saturated vapour resource at 10 bar pressure. The performance of the ORC cycle for power generation from this geothermal resource is evaluated through mass and energy balances, stepping up to exergy, Life Cycle Analysis (LCA) and Exergo-Environmental analyses (EEvA). The applied methodology allows to identify the most critical components of the system and to evaluate the environmental indicators of the system.

Author(s):  
Komandur S. Sunder Raj

The first law of thermodynamics is universally used in steady-state modeling and performance analysis of power plant cycles. Mass and energy balances may be effectively utilized in analyzing and evaluating turbine cycle performance issues and associated heat rate and capacity losses. Utilizing a case study for a fleet of coal-fired power plants and different examples, this paper examines applications of heat balance techniques in evaluating and quantifying performance losses. The focus of the paper will be in analyzing, diagnosing and quantifying performance, operation and reliability issues for the turbine cycle and major equipment.


2019 ◽  
pp. 646-654
Author(s):  
Jan Iciek ◽  
Kornel Hulak ◽  
Radosław Gruska

The article presents the mass and energy balances of the sucrose crystallization process in a continuous evaporating crystallizer. The developed algorithm allows to assess the working conditions of the continuous evaporating crystallizers and the technological and energy parameters. The energy balance algorithm takes into account the heat released during the crystallization of sucrose, which was analyzed in this study, heat losses to the environment and heat losses due the vapor used for inert gas removal.


Fuel ◽  
2019 ◽  
Vol 254 ◽  
pp. 115627 ◽  
Author(s):  
Marco Tomatis ◽  
Ashak Mahmud Parvez ◽  
Muhammad T. Afzal ◽  
Sannia Mareta ◽  
Tao Wu ◽  
...  

Author(s):  
Mandy Paschetag ◽  
André Paschetag ◽  
Florian Merkel ◽  
Christian Mehringer ◽  
Stephan Scholl

2021 ◽  
Vol 3 (2) ◽  
pp. 161-176
Author(s):  
Kellie Schneider ◽  
Diana Cuy Castellanos ◽  
Felix Fernando ◽  
Jeanne A. Holcomb

Food deserts, areas in which it is difficult to obtain affordable, nutritious food, are especially problematic in low-income neighbourhoods. One model for addressing food hardship and unemployment issues within low-income food deserts is a cooperative grocery store. Through the cooperative model, the grocery store can serve as a cornerstone to address socio-economic marginalisation of low-income neighbourhoods and improve the health and well-being of its residents. It is important for communities and policymakers to be able to assess the effectiveness of these types of endeavours beyond traditional economic factors such as profitability. This article uses a systems engineering approach to develop a framework for measuring the holistic impact of a cooperative grocery store on community health and well-being. This framework encompasses values that characterise the relationship between food retail, economic viability and social equality. We develop a dashboard to display the key metrics for measuring the economic, social and environmental indicators that reflect a grocery store’s social impact. We demonstrate the usefulness of the framework through a case study of a full-service cooperative grocery store that is planned within the city of Dayton, OH.


2021 ◽  
Vol 11 (14) ◽  
pp. 6452
Author(s):  
César Ricardo Soto-Ocampo ◽  
Juan David Cano-Moreno ◽  
José Manuel Mera ◽  
Joaquín Maroto

Increasing industrial competitiveness has led to an increased global interest in condition monitoring. In this sector, rotating machinery plays an important role, where the bearing is one of the most critical components. Many vibration-based signal treatments are already being used to identify features associated with bearing faults. The information embedded in such features are employed in the construction of health indicators, which allow for evaluation of the current operating status of the machine. In this work, the use of contour maps to represent the diagnosis map of a bearing, used as a health map, is presented for the first time. The results show that the proposed method is promising, allowing for the satisfactory detection and evaluation of the severity of bearing damage. In this initial stage of the research, our results suggest that this method can improve the classification of bearing faults and, therefore, optimise maintenance processes.


Sign in / Sign up

Export Citation Format

Share Document