Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating

Research output: Contribution to journalArticleScientificpeer-review

Standard

Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating. / Pinto, Giuseppe; Abdollahi, Elnaz; Capozzoli, Alfonso; Savoldi, Laura; Lahdelma, Risto.

In: Energies, Vol. 12, No. 9, 1653, 30.04.2019.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Bibtex - Download

@article{31a49cf32521496ea30bcf5b45d02c3d,
title = "Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating",
abstract = "The imperative to reduce emissions to counteract climate change has led to the use of renewables progressively in more areas. Looking at district heating, there is a growing interest in coupling current production systems and carbon-neutral technologies. This paper presents a methodology to support decision making about carbon-neutral technologies for district heating. The process is organized in two stages, the first one aims at optimizing the different carbon-neutral technologies according to an objective function and assess uncertainties and dependencies. In the second stage, the alternatives are evaluated using Stochastic Multicriteria Acceptability Analysis (SMAA), a simulation-based method specifically designed to consider imprecise information. The methodology was applied to a case-study in Torino, Italy, which simulates the city district heating network at a smaller scale, with the aim to explore strategies for replacing gas boiler with more sustainable technologies. According to preference information provided by decision makers, the most preferred alternative resulted in the introduction of a solar heat plant combined with an increase size of daily heat storage. Solar heat can benefit from incentives while reducing operational costs and emissions, maximizing the use of carbon-neutral heat thanks to the storage.",
keywords = "Carbon-neutral, District heating, Multicriteria decision analysis, SMAA",
author = "Giuseppe Pinto and Elnaz Abdollahi and Alfonso Capozzoli and Laura Savoldi and Risto Lahdelma",
year = "2019",
month = "4",
day = "30",
doi = "10.3390/en12091653",
language = "English",
volume = "12",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "9",

}

RIS - Download

TY - JOUR

T1 - Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating

AU - Pinto, Giuseppe

AU - Abdollahi, Elnaz

AU - Capozzoli, Alfonso

AU - Savoldi, Laura

AU - Lahdelma, Risto

PY - 2019/4/30

Y1 - 2019/4/30

N2 - The imperative to reduce emissions to counteract climate change has led to the use of renewables progressively in more areas. Looking at district heating, there is a growing interest in coupling current production systems and carbon-neutral technologies. This paper presents a methodology to support decision making about carbon-neutral technologies for district heating. The process is organized in two stages, the first one aims at optimizing the different carbon-neutral technologies according to an objective function and assess uncertainties and dependencies. In the second stage, the alternatives are evaluated using Stochastic Multicriteria Acceptability Analysis (SMAA), a simulation-based method specifically designed to consider imprecise information. The methodology was applied to a case-study in Torino, Italy, which simulates the city district heating network at a smaller scale, with the aim to explore strategies for replacing gas boiler with more sustainable technologies. According to preference information provided by decision makers, the most preferred alternative resulted in the introduction of a solar heat plant combined with an increase size of daily heat storage. Solar heat can benefit from incentives while reducing operational costs and emissions, maximizing the use of carbon-neutral heat thanks to the storage.

AB - The imperative to reduce emissions to counteract climate change has led to the use of renewables progressively in more areas. Looking at district heating, there is a growing interest in coupling current production systems and carbon-neutral technologies. This paper presents a methodology to support decision making about carbon-neutral technologies for district heating. The process is organized in two stages, the first one aims at optimizing the different carbon-neutral technologies according to an objective function and assess uncertainties and dependencies. In the second stage, the alternatives are evaluated using Stochastic Multicriteria Acceptability Analysis (SMAA), a simulation-based method specifically designed to consider imprecise information. The methodology was applied to a case-study in Torino, Italy, which simulates the city district heating network at a smaller scale, with the aim to explore strategies for replacing gas boiler with more sustainable technologies. According to preference information provided by decision makers, the most preferred alternative resulted in the introduction of a solar heat plant combined with an increase size of daily heat storage. Solar heat can benefit from incentives while reducing operational costs and emissions, maximizing the use of carbon-neutral heat thanks to the storage.

KW - Carbon-neutral

KW - District heating

KW - Multicriteria decision analysis

KW - SMAA

UR - http://www.scopus.com/inward/record.url?scp=85066038825&partnerID=8YFLogxK

U2 - 10.3390/en12091653

DO - 10.3390/en12091653

M3 - Article

VL - 12

JO - Energies

JF - Energies

SN - 1996-1073

IS - 9

M1 - 1653

ER -

ID: 34573471