Multicriteria evaluation of carbon-neutral heat-only production technologies for district heating

Kirppu, Heidi; Lahdelma, Risto; Salminen, Pekka

doi:10.1016/j.applthermaleng.2017.10.161

Cited by 31 publications

(11 citation statements)

References 67 publications

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“…For the application in specialist areas such as energy supply, the generic approaches mentioned above must first be individually adapted and extended. This is described, for example by Özkale et al [35] or Kirppu et al [36].…”

Section: Targeting Phasementioning

confidence: 88%

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Schmeling¹,

Schönfeldt²,

Klement³

et al. 2020

Preprint

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The planning and decision-making for a distributed energy supply concept in complex actor structures like in districts calls for the approach to be highly structured. Here, a strategy with strong use of energetic simulations is developed, the core elements are presented and research gaps are identified. The exemplary implementation is shown using the case study of a new district on the former Oldenburg airbase in northwestern Germany. The process is divided into four consecutive phases, which are carried out with different stakeholder participation and use of different simulation tools. Based on a common objective, a superstructure of the applicable technologies is developed. Detailed planning is then carried out with the help of a multi-objective optimal sizing algorithm and Monte Carlo based risk assessment. The process ends with the operating phase, which is to guarantee a further optimal and dynamic mode of operation. The main objective of this publication is present the core elements of the planning processes and decision-making framework based on the case study and to find and identify research gaps that will have to be addressed in the future.

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Section: Targeting Phasementioning

confidence: 88%

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Schmeling¹,

Schönfeldt²,

Klement³

et al. 2020

Preprint

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“…(v) The pairwise winning index is the probability for alternative to be more preferred than alternative . This index can be used to exclude alternatives that are dominated by others [28] and also for forming a stochastic ranking among the alternatives [29,30]. (vii) The confidence factor is the probability for alternative to be most preferred when the central weight vector for that alternative is selected.…”

Section: The Smaa-cjm Methodsmentioning

confidence: 99%

Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making

Wang

Lahdelma

Salminen

2018

Mathematical Problems in Engineering

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The complementary judgment matrix (CJM) method is an MCDA (multicriteria decision aiding) method based on pairwise comparisons. As in AHP, the decision-maker (DM) can specify his/her preferences using pairwise comparisons, both between different criteria and between different alternatives with respect to each criterion. The DM specifies his/her preferences by allocating two nonnegative comparison values so that their sum is 1. We measure and pinpoint possible inconsistency by inconsistency errors. We also compare the consistency of CJM and AHP trough simulation. Because preference judgments are always more or less imprecise or uncertain, we introduce a way to represent the uncertainty through stochastic distributions, and a computational method to treat the uncertainty. As in Stochastic Multicriteria Acceptability Analysis (SMAA), we consider different uncertainty levels: precise comparisons, imprecise comparisons with a stochastic distribution, and missing comparisons between criteria. We compute rank acceptability indices for the alternatives, describing the probability of an alternative to obtain a given rank considering the level of uncertainty and study the influence of the uncertainty on the SMAA-CJM results.

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“…Fossil-based district heating is typically the largest source of emissions in large cities [16]. The importance of electricity will also increase in district heating, Journal of Sustainable Bioenergy Systems while the role of non-combustion technologies, such as heat pumps, will increase [17]. In this case, fluctuations in the price of electricity can also be utilised through thermal energy storages [18] and better energy system integration [19].…”

Section: Introductionmentioning

confidence: 99%

The Role of Bioenergy in Achieving the Carbon Neutrality Target in Finland by 2035—A Case Study of Student Surveyed at University in Finland

Ranta¹,

Laihanen²,

Karhunen³

2021

JSBS

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The largest share of renewable energy in Finland comes from bioenergy. In 2019, bioenergy accounted for 82% (416 PJ, 116 TWh) of renewable energy in Finland. This study assesses the potential for increasing bioenergy in energy production by 2035 and what role it will play in achieving the carbon neutrality target in Finland. The role of different energy sources in the energy system was examined using existing scenarios developed for The National Long-Term Strategy. Two alternative low-emission scenarios have been developed to last until 2050 to meet the 2035 carbon neutrality target. In 2035, the amount of bioenergy has risen to 520 -550 PJ (144 -153 TWh), which is about 70% of renewable energy consumption. This means, that the bioenergy resource has been fully deployed and the relative share of bioenergy in renewables has decreased slightly. The study also included a survey to university students to map out how likely a carbon neutrality target is to be considered by 2035. University students were unsure of achieving the carbon neutrality target by 2035. The schedule was considered challenging especially in the transport sector. Bioenergy was also seen as still playing an important role, especially in heat production. Achieving significant emission reductions will require significant electrification in all energy use sectors, as fossil fuels cannot be sustainably replaced by bioenergy on a sufficiently large scale.

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Multicriteria evaluation of carbon-neutral heat-only production technologies for district heating

Cited by 31 publications

References 67 publications

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Development of a Decision-Making Framework for Distributed Energy Systems in a German District

Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making

The Role of Bioenergy in Achieving the Carbon Neutrality Target in Finland by 2035—A Case Study of Student Surveyed at University in Finland

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