Multi-objective evaluation of appropriate energy systems for urban areas
by Kiichiro Tsuji; Nobuyuki Chiba
International Journal of Global Energy Issues (IJGEI), Vol. 11, No. 1/2/3/4, 1998

Abstract: A multi-obective optimisation framework has been developed in order to search for energy systems in urban areas that are more appropriate in aspects such as costs, energy conservation and environmental impacts. The objectives taken into account are the cost, primary energy consumption, and CO2 emission of the specific area to be studied. The evaluation of these objectives is based on the simulation of the daily operation of the assumed energy system. The city to be examined is expressed by the floor area of various kinds of buildings, e.g. office buildings, hotels, hospitals, apartment and detached houses, etc. Energy systems such as co-generation, electric turbo refrigerator system with heat accumulation devices and solar energy based utilisation system are taken into account. A number of cases which can be considered as Pareto optimal to the original optimisation problem have been identified for a hypothetical city and these results will be described.

Online publication date: Thu, 27-Aug-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Global Energy Issues (IJGEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com