dc.contributor.author |
Kyriakarakos, G |
en |
dc.contributor.author |
Dounis, AI |
en |
dc.contributor.author |
Rozakis, S |
en |
dc.contributor.author |
Arvanitis, KG |
en |
dc.contributor.author |
Papadakis, G |
en |
dc.date.accessioned |
2014-06-06T06:51:25Z |
|
dc.date.available |
2014-06-06T06:51:25Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
03062619 |
en |
dc.identifier.uri |
http://dx.doi.org/10.1016/j.apenergy.2011.05.038 |
en |
dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5502 |
|
dc.subject |
Autonomous hybrid renewable energy systems |
en |
dc.subject |
Desalination |
en |
dc.subject |
Hydrogen |
en |
dc.subject |
Microgrids |
en |
dc.subject |
Particle Swarm Optimization (PSO) |
en |
dc.subject |
Polygeneration |
en |
dc.subject |
TRNSYS |
en |
dc.subject.other |
Battery banks |
en |
dc.subject.other |
Cash flow |
en |
dc.subject.other |
Desalinated water |
en |
dc.subject.other |
Design tool |
en |
dc.subject.other |
Economic evaluations |
en |
dc.subject.other |
Economical evaluation |
en |
dc.subject.other |
Energy recovery |
en |
dc.subject.other |
Hybrid renewable energy systems |
en |
dc.subject.other |
Medium term |
en |
dc.subject.other |
Metal hydride tank |
en |
dc.subject.other |
Micro grid |
en |
dc.subject.other |
Monte Carlo simulation methods |
en |
dc.subject.other |
Particle swarm optimization method |
en |
dc.subject.other |
PEM-electrolyzer |
en |
dc.subject.other |
Photovoltaics |
en |
dc.subject.other |
Poly-generation |
en |
dc.subject.other |
Remote areas |
en |
dc.subject.other |
Renewable energies |
en |
dc.subject.other |
Reverse osmosis desalination |
en |
dc.subject.other |
Seasonal storage |
en |
dc.subject.other |
Small island |
en |
dc.subject.other |
Transportation fuels |
en |
dc.subject.other |
TRNSYS |
en |
dc.subject.other |
Viable solutions |
en |
dc.subject.other |
Water needs |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Desalination |
en |
dc.subject.other |
Electrolytic cells |
en |
dc.subject.other |
Energy harvesting |
en |
dc.subject.other |
Fuel cells |
en |
dc.subject.other |
Hydrides |
en |
dc.subject.other |
Hydrogen |
en |
dc.subject.other |
Hydrogen storage |
en |
dc.subject.other |
Metal recovery |
en |
dc.subject.other |
Monte Carlo methods |
en |
dc.subject.other |
Particle swarm optimization (PSO) |
en |
dc.subject.other |
Profitability |
en |
dc.subject.other |
Water filtration |
en |
dc.subject.other |
Potable water |
en |
dc.subject.other |
control system |
en |
dc.subject.other |
desalination |
en |
dc.subject.other |
drinking water |
en |
dc.subject.other |
hydrogen |
en |
dc.subject.other |
ion exchange |
en |
dc.subject.other |
Monte Carlo analysis |
en |
dc.subject.other |
optimization |
en |
dc.subject.other |
osmosis |
en |
dc.subject.other |
photovoltaic system |
en |
dc.subject.other |
probability |
en |
dc.subject.other |
renewable resource |
en |
dc.subject.other |
wind turbine |
en |
dc.title |
Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.apenergy.2011.05.038 |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
This paper presents the concept and the design of a hybrid renewable energy polygeneration microgrid along with its technical and economical evaluation. The energy of the sun and the wind is harvested by photovoltaics and a wind turbine. Besides that, the components of the microgrid include a battery bank, a Proton Exchange Membrane (PEM) fuel cell, a PEM electrolyzer, a metal hydride tank, a reverse osmosis desalination unit using energy recovery and a control system. The microgrid covers the electricity, transport and water needs and thus its products are power, hydrogen as transportation fuel and potable water through desalination. Hydrogen and the desalinated water also act as medium to long term seasonal storage. A design tool based on TRNSYS 16, GenOpt 2.0 and TRNOPT was developed using Particle Swarm Optimization method. The economic evaluation of the concept was based on the discounting cash flow approach. The Monte Carlo Simulation method was used in order to take uncertainty into account. A technically feasible polygeneration microgrid adapted to a small island is financially profitable with a probability of 90% for the present and 100% at the medium term. © 2011 Elsevier Ltd. |
en |
heal.journalName |
Applied Energy |
en |
dc.identifier.issue |
12 |
en |
dc.identifier.volume |
88 |
en |
dc.identifier.doi |
10.1016/j.apenergy.2011.05.038 |
en |
dc.identifier.spage |
4517 |
en |
dc.identifier.epage |
4526 |
en |