Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 538071
Title Modelling smart energy systems in tropical regions
Author(s) Dominković, D.F.; Dobravec, V.; Jiang, Y.; Nielsen, P.S.; Krajačić, G.
Source Energy 155 (2018). - ISSN 0360-5442 - p. 592 - 609.
Department(s) Biobased Chemistry and Technology
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Air pollution - District cooling - Energy storage modelling - Smart cities - Smart energy system - Tropical climate

A large majority of energy systems models of smart urban energy systems are modelling moderate climate with seasonal variations, such as the European ones. The climate in the tropical region is dominated by very high stable temperatures and high humidity and lacks the moderate climate's seasonality. Furthermore, the smart energy system models tend to focus on CO2 emissions only and lack integrated air pollution modelling of other air pollutants. In this study, an integrated urban energy system for a tropical climate was modelled, including modelling the interactions between power, cooling, gas, mobility and water desalination sectors. Five different large scale storages were modelled, too. The developed linear optimization model further included endogenous decisions about the share of district versus individual cooling, implementation of energy efficiency solutions and implementation of demand response measures in buildings and industry. Six scenarios for the year 2030 were developed in order to present a stepwise increase in energy system integration in a transition to a smart urban energy system in Singapore. The economically best performing scenario had 48% lower socio-economic costs, 68% lower CO2e emissions, 15% higher particulate matter emissions and 2% larger primary energy consumption compared to a business-as-usual case.

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