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Record W2592439076

District Heating in Areas with Low Energy Houses: Detailed Analysis of District Heating Systems based on Low Temperature Operation and Use of Renewable Energy

2015· article· en· W2592439076 on OpenAlex
Hakan İbrahim Tol

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyEnvironmental scienceHeating systemEnergy (signal processing)EngineeringElectrical engineeringMechanical engineeringStatisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

This PhD thesis presents a summary of a three-year PhD project involving three case studies, each pertaining to a typical regional Danish energy planning scheme with regard to the extensive use of low-energy district heating systems, operating at temperatures as low as 55°C for supply and 25°C for return, and with the aim of intensive exploitation of renewable energy sources. The hypothesis is that a detailed analysis of energy performance and cost of construction and operation of low energy district heating systems can be used as a rational basis for planning use of district heating in areas with low energy houses. The first case study focus was concerned with developing a method for the designing of low-energy district heating systems for new settlements in which low-energy houses were to be built. The method involved primarily the development of a novel pipe dimensioning method based on optimization of the pipe diameters rather than use of rule-of-thumb methods, through consideration of a certain value of a maximum pressure gradient or a maximum velocity, or both. In addition, attention was directed at the assessment of (i) substation types considered for use in connection with the low-energy houses involved, together with the idea of utilizing booster pumps in the district heating network and (ii) use of network layouts of either a branched (tree-like) or a looped type. The methods developed were applied in a case study, the data of which was provided by the municipality of Roskilde in Denmark. The second case study was aimed at solving another regional energy planning scheme, one concerned with already existing houses, the heat requirements of which were currently being met by use of a natural gas grid or a conventional high-temperature district heating network. The idea considered for employing a low-energy district heating system here involved use of an operational control approach of boosting the supply temperature during the peak winter months due to their shorter durations when compared to a year period. This approach can be considered in two different respects: (i) in the municipal infrastructure, transforming the current heating systems into lowenergy district heating systems and (ii) in the operation of low-energy district heating systems. The building settlement in question, one located in the municipality of Gladsaxe, was chosen for the case study carried out, due to the existing houses there being considered for renovation to houses of a low-energy class, and due to the existing heat-supply energy infrastructure there being a natural gas grid. The third case study carried out aimed at developing energy conversion systems based on use of renewable energy sources that were available locally. This was carried out in an external stay at the University of Ontario Institute of Technology (UOIT) in Oshawa, ON, Canada under the supervision of Prof. Ibrahim Dincer. In this colleborative study, a novel method was developed to serve as the basis of a decision support tool in investigating the optimal use of renewable energy sources, particular consideration being given to the following: (i) the monthly satisfaction of energy requirements of various types: heating (including the demands of space heating and of domestic hot water production), electricity, and cooling, in order to study the improvement in efficiency achieved by use of multi-generation systems, (ii) various types of energy conversion systems, such as single-generation, cogeneration, and multi-generation systems, (iii) the long-term storage of heat energy to cope with the mismatch between the energy production from renewable energy sources and the heat energy requirements, both in terms of the variations involved, such through the excessive production of heat by means of solar based systems, heat that cannot be used immediately but can be stored in borehole storage systems, to be used then in the cold winter period, (iv) an extensive economic assessment of the technologies involved, taking several different parameters into account, each unique for the technology in question, such as the specific investmet costs based on an economy-of-scale, operation and maintenance costs, the lifetime of the technology, the capacity factor, and the salvage value of the energy conversion system at the end of its lifetime, (v) seasonal variation in the generation of energy, in line with the availability of the renewable source in question, (vi) on a limited scale, aimed at gaining as much insight as possible into the complexities of the questions involved, examining the environmental concerns possible to encounter during the operations of each conversion system, the security of supply being figured on the basis of the optimal solutions obtained. In summary, the methods developed in the case studies concern the technical framework for establishing an integrated energy supply scheme involving the use of renewable energy sources for meeting the energy needs of low-energy houses by means of a city-wide low-energy district heating system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.183
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations7
Published2015
Admission routes1
Has abstractyes

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