Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Luca Bellando

dblp:273/4834 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids
multienergy systems
0.112020
Optimal Configuration of Power-to-Cool Technology in District Cooling Systems · Proc. IEEE 2020

Methods — techniques the papers use, named apart from their topics

pipeline design optimization · 0.4mathematical optimization · 0.4
YearPublicationVenuePosition
2020 Optimal Configuration of Power-to-Cool Technology in District Cooling Systems
abstract
In a multienergy framework, power-to-heat technology is becoming increasingly attractive. This interest is mainly due to the possibility of exploiting excesses and unbalances of electricity, which are becoming more and more common with the increasing capacity of the renewable sources. An interesting option consists in using heat pumps to convert excess of electricity produced by photovoltaic systems (especially in the midday hours) into cold to be provided to district heating and district cooling networks. This article aims to propose a methodology to select the best heat pump location in district cooling system. The analysis is performed with the aim of minimizing the cost of network construction and pumping. The procedure includes the best heat pump location and the design of the pipeline. Results show that distributed heat pumps allow one reducing both the costs and the average pipeline diameters by about 50% with respect to concentrated production. Furthermore, the optimal location of distributed heat pumps allows reducing costs of about 7% with respect to a uniformly distributed production.
Elisa Guelpa, Luca Bellando, Antonio Giordano, Vittorio Verda
Proc. IEEE2