Energy scheduling model to optimize transition routes towards 100% renewable urban districts

The purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed...

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Main Authors: Richard van Leeuwen, Jan B. de Wit, Gerard J.M. Smit
Format: Article
Language:English
Published: Aalborg University Open Publishing 2017-09-01
Series:International Journal of Sustainable Energy Planning and Management
Subjects:
Online Access:https://journals.aau.dk/index.php/sepm/article/view/1631
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author Richard van Leeuwen
Jan B. de Wit
Gerard J.M. Smit
author_facet Richard van Leeuwen
Jan B. de Wit
Gerard J.M. Smit
author_sort Richard van Leeuwen
collection DOAJ
description The purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.
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spelling doaj.art-e0e41f8e486d414190301ff02e479cf02024-04-03T01:11:27ZengAalborg University Open PublishingInternational Journal of Sustainable Energy Planning and Management2246-29292017-09-011310.5278/ijsepm.2017.13.3Energy scheduling model to optimize transition routes towards 100% renewable urban districtsRichard van Leeuwen0Jan B. de Wit1Gerard J.M. Smit2Saxion University of Applied SciencesSaxion University of Applied SciencesUniversity of TwenteThe purpose of this paper is to develop a model to analyze options for 100% renewable urban districts which self-consume locally generated renewable energy as much as possible and import (or export) energy from (or to) external grids as little as possible. Energy scheduling algorithms are developed to prioritize energy generation and storage of local renewable energy. The model is applied in a Dutch case study in which three renewable energy system concepts are evaluated against the case reference. Optimal capacities are determined for minimal operational costs including a penalty on carbon dioxide production. Attractiveness of these concepts is discussed in relation to costs, environmental concerns and applicability within the Dutch context of the energy transition.https://journals.aau.dk/index.php/sepm/article/view/1631urban energydistrict heatingrenewable energysmart gridsoptimal capacityenergy priority scheduling
spellingShingle Richard van Leeuwen
Jan B. de Wit
Gerard J.M. Smit
Energy scheduling model to optimize transition routes towards 100% renewable urban districts
International Journal of Sustainable Energy Planning and Management
urban energy
district heating
renewable energy
smart grids
optimal capacity
energy priority scheduling
title Energy scheduling model to optimize transition routes towards 100% renewable urban districts
title_full Energy scheduling model to optimize transition routes towards 100% renewable urban districts
title_fullStr Energy scheduling model to optimize transition routes towards 100% renewable urban districts
title_full_unstemmed Energy scheduling model to optimize transition routes towards 100% renewable urban districts
title_short Energy scheduling model to optimize transition routes towards 100% renewable urban districts
title_sort energy scheduling model to optimize transition routes towards 100 renewable urban districts
topic urban energy
district heating
renewable energy
smart grids
optimal capacity
energy priority scheduling
url https://journals.aau.dk/index.php/sepm/article/view/1631
work_keys_str_mv AT richardvanleeuwen energyschedulingmodeltooptimizetransitionroutestowards100renewableurbandistricts
AT janbdewit energyschedulingmodeltooptimizetransitionroutestowards100renewableurbandistricts
AT gerardjmsmit energyschedulingmodeltooptimizetransitionroutestowards100renewableurbandistricts