Synthesis of trigeneration systems: sensitivity analyses and resilience.

This paper presents sensitivity and resilience analyses for a trigeneration system designed for a hospital. The following information is utilized to formulate an integer linear programming model: (1) energy service demands of the hospital, (2) technical and economical characteristics of the potentia...

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Published in:Scientific World Journal pp. 604852 - 604853
Main Authors: Carvalho, Monica, Lozano, Miguel A, Ramos, José, Serra, Luis M
Format: research Journal Article
Published: Wiley-Blackwell 2014
Online Access:View this record in EBSCOhost
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        atl: Synthesis of trigeneration systems: sensitivity analyses and resilience.
      aug:
        au:
          Carvalho, Monica
          Lozano, Miguel A
          Ramos, José
          Serra, Luis M
        affil: Department of Renewable Energy Engineering, Center of Alternative and Renewable Energy, Federal University of Paraíba, Campus I, 58059-970 Joao Pessoa, PB, Brazil.
      sug:
        subj:
          Power Sources Economics
          Engineering and Maintenance Department Economics
          Engineering and Maintenance Department Statistics and Numerical Data
          Air Conditioning Economics
          Air Conditioning Equipment and Supplies
          Air Conditioning Methods
          Costs and Cost Analysis
          Equipment and Supplies Economics
          Fossil Fuels Economics
          Heating Economics
          Heating Equipment and Supplies
          Heating Methods
          Hospital Design and Construction
          Spain
      ab: This paper presents sensitivity and resilience analyses for a trigeneration system designed for a hospital. The following information is utilized to formulate an integer linear programming model: (1) energy service demands of the hospital, (2) technical and economical characteristics of the potential technologies for installation, (3) prices of the available utilities interchanged, and (4) financial parameters of the project. The solution of the model, minimizing the annual total cost, provides the optimal configuration of the system (technologies installed and number of pieces of equipment) and the optimal operation mode (operational load of equipment, interchange of utilities with the environment, convenience of wasting cogenerated heat, etc.) at each temporal interval defining the demand. The broad range of technical, economic, and institutional uncertainties throughout the life cycle of energy supply systems for buildings makes it necessary to delve more deeply into the fundamental properties of resilient systems: feasibility, flexibility and robustness. The resilience of the obtained solution is tested by varying, within reasonable limits, selected parameters: energy demand, amortization and maintenance factor, natural gas price, self-consumption of electricity, and time-of-delivery feed-in tariffs.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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