Performance Analysis in Off-design Condition of Gas Turbine Air-bottoming Combined System☆

Abstract Nowadays, the gradual depletion of fossil fuels associated with constraints on emissions of greenhouse gases leads to valorize their wasted heat from power plant. One of the technologies adopted for improvement is the utilization of combined cycles. For this purpose, the steam cycle is used most frequently. These systems are highly efficient, but they are very complex and water is requested, moreover they are very heavy, so they cannot always be used. In this context, Air Bottoming Cycles (ABC) become attractive for potential use in future plants and repowering because they are light, compact and they have flexible-use and no water consumption. An application of an Air Bottoming Cycle (ABC) is composed of a gas turbine powered by natural gas, an air compressor and an air turbine coupled to the system by means of a heat exchanger, referred to as the AHX (Air Heat Exchanger). The aim of this paper is to study an Air Bottoming Cycle (ABC) that uses a medium power industrial gas turbine as topper cycle. A thermodynamic optimization is realized, determining the best pressure ratio and air mass flow rate of bottomer cycle. Then, an off-design analysis varying ambient temperature and FAR (Fuel Air Ratio) is shown, in fact, in this case, the exhaust gas conditions from topper gas turbine and inlet air of bottoming joule cycle change

Axiomatic Design for an Efficient Development of Optimized RPM Systems

New communication technologies and development of increasingly advanced systems for remote assistance create important opportunities related to the spread of e-health systems and devices for health monitoring and healthcare integration. Despite the increasingly widespread use of Remote Patient Monitoring (RPM) systems, especially in presence of chronic diseases, users’ needs and requests are often disregarded due to poor customization of solutions. This is mainly due to the lack of truly interoperable tools allowing for horizontal integration between the various medical and specialized instruments. The proposed model works as a useful approach to ensure that the development of new solutions shall be partially guaranteed. The Axiomatic Design method is a suitable tool to identify the best solutions to meet users’ needs

Axiomatic Design for an Efficient Development of Optimized RPM Systems

New communication technologies and development of increasingly advanced systems for remote assistance create important opportunities related to the spread of e-health systems and devices for health monitoring and healthcare integration. Despite the increasingly widespread use of Remote Patient Monitoring (RPM) systems, especially in presence of chronic diseases, users’ needs and requests are often disregarded due to poor customization of solutions. This is mainly due to the lack of truly interoperable tools allowing for horizontal integration between the various medical and specialized instruments. The proposed model works as a useful approach to ensure that the development of new solutions shall be partially guaranteed. The Axiomatic Design method is a suitable tool to identify the best solutions to meet users’ needs

Conceptual framework for user based RPM

Nowadays, new conjunctions between communication technologies and devices in the health care context, and between health and social care, create important opportunities concerning the development of frameworks and devices/interoperable systems (eHealth systems), particularly in the ever increasingly Remote Patient Monitoring (RPM) systems environment. However most of users' needs and requirements are not really satisfied with a poor customization of solutions in according to specific cluster of users. This is mainly due to a lack of truly interoperable tools that allow a horizontal integration between the various medical / specialized tools and utilities. This paper introduces an effective conceptual framework to manage the many stakeholders connected to the development of RPM solutions