A systematic approach to the synthesis and design of flexible site utility systems

Shang, Zhigang; Kokossis, Antonis

doi:10.1016/j.ces.2005.03.015

Cited by 49 publications

(21 citation statements)

References 12 publications

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“…However, the optimal configuration of these systems still represents a complex problem due to the wide variety of technological options for energy supply and conversion and the large daily and annual variations in energy demands and in energy prices and rates. According to Shang and Kokossis [20], variability in energy demand requires a project methodology that results in efficient production systems (thermodynamic objective) that are able to adapt to different demand and market conditions (operational flexibility) and can operate with minimal economic costs.Although the quantification of biomass use is a challenge, due to non-commercial uses, it is estimated that it can represent up to 14% of global primary energy consumption; in some developing countries, …”

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confidence: 99%

Analysis of Biomass-fired Boilers in a Polygeneration System for a Hospital

de¹,

Carvalho²,

Coelho³

et al. 2018

FMR

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Abstract. This study evaluates the types of biomass that can be used in boilers for the production of steam and hot water for the Lauro Wanderley University Hospital located in the city of João Pessoa, Paraíba, Brazil, using average cost of production and business model analysis (Business Model Canvas). The study was conducted to subsidize a system for the optimization of the energy resources to be adopted by the hospital, as the design of a product or service production system can identify opportunities to reduce costs and environmental damage. The energy demand of the hospital was surveyed. Only firewood, sugarcane bagasse and pellets were considered in the analysis, as these are the types of biomass allowed in the specified boiler. The results showed that the pellets were the costliest resource, whereas firewood exhibited the best results considering the average cost of production and the business model. This information supports more consistently the adequate inclusion of this resource in the hospital superstructure and, consequently, the optimization of the polygeneration system, allowing clearer verification of decreased costs and environmental impacts.Keywords: Biomass, polygeneration system, cost of production, hospital. IntroductionOver the last few years, the use of multiple energy sources in energy supply systems to guarantee reliability and improve energy use has been gaining attention [1][2][3][4][5][6]. Polygeneration, as it is more commonly known, is defined as the combined production of two or more energy services to reach the maximum use of the various energy sources used. Its main advantage is the efficient use of these sources, as it requires detailed study of the generation-consumption ratio, the reliability and continuity of the energy supply and the system's improvements compared to autonomous systems. Polygeneration and energy integration are promising tools for achieving better efficiency in the use of natural resources and, in most cases, also reducing the environmental impacts generated [2]. Examples of the application of polygeneration systems include the commercial [7][8][9], domestic [10][11], and industry [12][13] sectors Some consumption units, such as hospitals, exhibit high energy consumption and require continuous and simultaneous electric and thermal energy [14][15][16]. Therefore, hospitals are excellent units with potential for deploying polygeneration systems, as their comfort conditions and electricity, hot water, heating and air conditioning demands must be continuously met. There are recent studies on the optimization of polygeneration systems in hospitals [17][18][19]. However, the optimal configuration of these systems still represents a complex problem due to the wide variety of technological options for energy supply and conversion and the large daily and annual variations in energy demands and in energy prices and rates. According to Shang and Kokossis [20], variability in energy demand requires a project methodology that results in efficient production systems (ther...

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confidence: 99%

Analysis of Biomass-fired Boilers in a Polygeneration System for a Hospital

de¹,

Carvalho²,

Coelho³

et al. 2018

FMR

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“…The method decomposes complex turbines into a number of simple turbines, allows for variations in turbine efficiency at full and part load and optimises the range of options. The total site profiles and turbine network models are the basis of many methods (Klemes et al, 1997;Varbanov et al, 2004aVarbanov et al, , 2004bBandyopadhyay et al, 2010;Gorsek et al, 2006;Shang and Kokossis, 2005) for top level analysis and optimisation of utility systems. All of these methods are designed for optimisation of utility systems including cogeneration of heat and power rather than trying to minimise the energy penalty associated with retrofitting a single power station with additional heat sources and sinks.…”

Section: Methods For Selection Of Optimum Utilitiesmentioning

confidence: 99%

Reducing the energy penalty of CO2 capture and compression using pinch analysis

Harkin

Hoadley

Hooper

2010

Journal of Cleaner Production

111

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“…Subject to: X s a s ¼ 1 (17) With the inclusion of a s in Equation (16), the economic feasibility of the BTS in all s potential scenarios is evaluated via multiperiod optimisation. Multi-period optimisation has been applied to synthesise utility systems, taking into account varying energy demands [30,31], equipment downtime [4,32] and environmental impact [33]. Besides utility systems, multi-period optimisation has been used to synthesise polygeneration systems [34,35] and heat exchanger networks [36,37].…”

Section: Economic Aspectsmentioning

confidence: 99%