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[null,"1.","Record Nr.",null,"UNINA9910972706403321"]
[null,null,"Autore",null,"Obara Shin'ya"]
[null,null,"Titolo",null,"Distributed energy systems / / Shin'ya Obara"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Nova Science Publishers, Inc., c2009"]
[null,null,"ISBN",null,"1-60741-217-9"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (76 p.)"]
[null,null,"Disciplina",null,"621.31/21"]
[null,null,"Soggetti",null,"Distributed generation of electric power - Mathematical models"]
[{"$nulls":4},"Fuel cells"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"\"\"DISTRIBUTED ENERGY SYSTEMS\"\"; \"\"NOTICE TO THE READER\"\"; \"\"CONTENTS\"\"; \"\"OPERATION PLAN OF A COMBINED FUEL CELL CO-GENERATION USING GENETIC ALGORITHM\"\"; \"\"INTRODUCTION\"\"; \"\"FUEL CELL, SOLAR MODULES, AND GEO-THERMAL HEAT PUMP COMBINED SYSTEM\"\"; \"\"Scheme of Combined System\"\"; \"\"Relational Expression\"\"; \"\"Energy Supply Path\"\"; \"\"ENERGY BALANCE AND OBJECTIVE FUNCTION\"\"; \"\"Objective Function of System\"\"; \"\"Multi-objective Optimization\"\"; \"\"ANALYSIS RESULTS\"\"; \"\"Results of Optimization\"\"; \"\"Equipment Capacity\"\"; \"\"Objective Function and Characteristics of Operation Plan\"\"; \"\"CONCLUSIONS\"\""]
[{"$nulls":4},"\"\"ROUTE PLANNING OF HEAT SUPPLY PIPING IN A FUEL CELL ENERGY NETWORK\"\"\"\"INTRODUCTION\"\"; \"\"FUEL CELL NETWORK AND ENERGY BALANCE\"\"; \"\"Fuel Cell Network\"\"; \"\"Heat Release Model of Hot-Water Piping\"\"; \"\"Output Characteristics of the Fuel Cell\"\"; \"\"Energy Balance Equation\"\"; \"\"Urban Area Model and Energy Demand Pattern\"\"; \"\"ROUTE PLANNING METHOD OF PIPING\"\"; \"\"Route Planning Method of Piping Using the TSP (TravelingSalesman Problem [19])\"\"; \"\"Analysis Flow of the Search Program of the Piping Route\"\"; \"\"CASE STUDY\"\"; \"\"Program Check by Shortest Route Search\"\""]
[{"$nulls":4},"\"\"Power Generation Capacity of a Fuel Cell\"\"\"\"Result of Route Planning\"\"; \"\"Piping Route Plan with a Solar Module\"\"; \"\"CONCLUSION\"\"; \"\"LOAD LEVELING OF FUEL CELL SYSTEM BY OXYGEN CONCENTRATION CONTROL OF CATHODE GAS\"\"; \"\"INTRODUCTION\"\"; \"\"SYSTEM DESCRIPTION\"\"; \"\"System Structure\"\"; \"\"Fuel Cell Performance\"\"; \"\"System Operation\"\"; \"\"Water Electrolysis\"\"; \"\"Energy Balance\"\"; \"\"Analysis Method\"\"; \"\"CASE STUDY\"\"; \"\"Weather Conditions in Tokyo\"\"; \"\"Energy Demand Models\"\"; \"\"RESULTS AND DISCUSSION\"\"; \"\"Operation Planning "]
[{"$nulls":4},"and Fuel Cell Capacity Reduction Effect\"\"; \"\"Town Gas Consumption\"\""]
[{"$nulls":4},"\"\"Reformer and Auxiliary Machines Operation\"\"\"\"CONCLUSION\"\"; \"\"INDEX\"\""]
[null,null,null,"Sommario/riassunto","The recent development of distributed generation technologies is changing the focus of the production of electricity from large centralized power plants to local energy systems scattered over the territory. Under the distributed generation paradigm, the present research scenario emphasises more and more the role of solutions aimed at improving the energy generation efficiency and thus the sustainability of the overall energy sector. In particular, coupling local cogeneration systems to various typologies of chillers and heat pumps allows setting up distributed multi-generation systems for combined production of different energy vectors such as electricity, heat (at different enthalpy levels), cooling power, and so forth. The generation of the final demand energy outputs close to the users enables reducing the losses occurring in the energy chain conversion and distribution, as well as enhancing the overall generation efficiency.This book presents a comprehensive introduction to energy planning and performance assessment of energy systems within the so-called Distributed Multi-Generation (DMG) framework. Typical plant schemes and components are illustrated and modelled, with special focus on applications for trigeneration of electricity, heat and cooling power. A general approach to characterization and planning of multi-generation systems is formulated in terms of the so-called lambda analysis, which extends the classical models related to the heat-to-power cogeneration ratio analysis in cogeneration plants. A unified theoretical framework leading to synthesize different performance assessment techniques is described in details. In particular, different indicators are presented for evaluating the potential energy benefits of distributed multi-generation systems with respect to classical case of separate production and centralized energy systems. Several case study applications are illustrated to exemplify the models presented and to point out some numerical aspects relevant to equipment available on the market. In particular, schemes with different cogeneration prime mover typologies, as well as electric, absorption and engine-driven chillers and heat pumps, are discussed and evaluated. A number of openings towards modelling and evaluation of environmental and economic issues are also provided. The aspects analysed highlight the prominent role of DMG systems towards the development of more sustainable energy scenarios."]