Decarbonization of a district heating system with a combination of solar heat and bioenergy: A techno-economic case study in the Northern European context

Maki, E. R.; Kannari, Lotta; Hannula, Ilkka; Shemeikka, Jari

doi:10.1016/j.renene.2021.04.116

Cited by 32 publications

(13 citation statements)

References 42 publications

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“…With the proposed fuzzy Cauchy distribution membership function, the ensemble ranking, shown in the first row of Table 8, is as follows: (1) heat pump (air to water), (2) solar heating, (3) district heating (direct), (4) heat pump (ground source), (5) heat pump (air to water, low-price product), (6) district heating (indirect), (7) heat pump (air-to-air), (8) gas boiler, (9) oil boiler, (10) heat pump (gas-hybrid), (11) biomass boiler (manual), (12) biomass boiler (auto), and (13) woodstove. In order to validate the robustness of the ranking result, sensitive analysis of the possible influencing factors, which are the high variance weight and fuzzy parameter setting, is needed.…”

Section: Ensemble Resultsmentioning

confidence: 99%

“…Energy sources are a major factor impacting the environment [10]; they are divided into fossil fuels, including oil, gas and coal, and renewables, including biomass, solar, geothermal, air, water, and waste [9]. Besides the traditional single energy source, research for combinations of multiple energy sources has increased, such as hybrid source heat pumps [11] and district heating [12]. Each category has developed heating technology, including fireplaces, stoves, boilers, heaters, heat pumps, solar thermal collectors, and cogeneration.…”

Section: Motivationmentioning

confidence: 99%

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Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

Wen

Yan

et al. 2021

Mathematics

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More than 110 countries, including 500 cities worldwide, have set the goal of reaching carbon neutrality. Heating contributes to most of the residential energy consumption and carbon emissions. The green energy transition of fossil-based heating systems is needed to reach the emission goals. However, heating systems vary in energy source, heating technology, equipment location, and these complexities make it challenging for households to compare heating systems and make decisions. Hence, a decision support tool that provides a generalized ranking of individual heating alternatives is proposed for households as decision makers to identify the optimal choice. This paper presents an analysis of 13 heating alternatives and 19 quantitative criteria in technological, environmental, and financial aspects, combines ideal solution-based multi-criteria decision making with 6 weighting methods and 4 normalization methods, and introduces ensemble learning with a fuzzy membership function derived from Cauchy distribution to finalize the ultimate ranking. The robustness of the proposed method is verified by three sensitive analyses from different aspects. Air-to-water heat pump, solar heating and direct district heating are the top three rankings in the final result under Danish national average data. A framework is designed to guide decision makers to apply this ranking guideline with their practical, feasible situations.

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Section: Ensemble Resultsmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

Wen

Yan

et al. 2021

Mathematics

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“…Tokiu būdu net ir tuomet, kai dėl tinklo plėtros prijungiami nauji pastatai (mažai energijos vartojantys vartotojai) bei modernizavus senus pastatus galima sumažinti šilumos nuostolius tinkluose. Dėl žemesnės grįžtamo šilumnešio temperatūros pasiekiamas efektyvesnis atsinaujinančių išteklių (saulės kolektorių, biokuro katilinių), atliekinės šilumos ir kogeneracinių jėgainių integravimas (Mäki et al, 2021;Sameti ir Haghighat, 2019).…”

Section: įVadasunclassified

Influence of Apartments’ Modernization on the Temperatures of Heating System in the Building

Šiupšinskas

Bielskus

Rogoža

2021

Science - Future of Lithuania

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When modernizing apartment buildings, heating appliances are replaced or old ones are left, high thermal temperatures are usually maintained, thus limiting the increase in the DH system’s efficiency. In the article, in order to evaluate the impact of the reduced thermal temperature of the building on space heating when the radiator area remains constant, 3 alternatives have been analyzed. They include cases when after the building modernization old heating appliances are left, but the temperature of the heat carrier is reduced up to 60/40/20 °C in one case or even up to 45/25/20 in another alternative. There has also been examined the possibility of reducing the heat carrier temperature of the heating system without modernization of the building. An hourly data analysis of the heating system model for two typical months of the heating season has been performed. The analysis shows that after the modernization of the building, when heating device areas are left the same, the existing heating temperature can be reduced to 60/40/2020 °C.

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“…Energy sources are the major factor impacting the environment [10], which can be divided as fossil fuels including oil, gas and coal, and renewables including biomass, solar, geothermal, air, water and waste [9]. Apart from the traditional single energy source, research for combinations of multiple energy sources is increasing, like hybrid source heat pumps [11] and district heating [12]. Heat technology has been developed in each category, including fireplace, stove, boiler, heater, heat pump, solar thermal collector and cogeneration.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Ensemble Ideal Solution Based Multi-Criteria Decision-Making Support for Heat Energy Transition in Danish Households

Wen¹,

Yan²,

Qu³

et al. 2021

Preprint

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More than 110 countries including 500 cities worldwide have set the goal of reaching carbon neutrality. Heating contributes to most of the residential energy consumption and carbon emissions. The green energy transition of fossil-based heating systems is needed to reach the emission goals. However, the heating systems vary in energy source, heating technology, equipment location, and these complexities make it challenging for households to compare heating systems and make decisions. Hence, a decision support tool that provides a generalized ranking of individual heating alternatives is proposed for households as decision-makers to identify the optimal choice. This paper presents an analysis of 13 heating alternatives and 19 quantitative criteria in technological, environmental, and financial aspects, combines ideal solution based Multi-Criteria Decision Making with 6 weighting methods and 4 normalization methods, and introduces ensemble learning with a fuzzy membership function derived from Cauchy distribution to finalize the final ranking. The robustness of the proposed method is verified by 3 sensitive analyses from different aspects. Air to water heat pump, solar heating and direct district heating are the top three rankings in the final result under Danish national average data. A framework is designed to guide the decision-makers apply this ranking guideline with their practical feasible situations.

show abstract

Decarbonization of a district heating system with a combination of solar heat and bioenergy: A techno-economic case study in the Northern European context

Cited by 32 publications

References 42 publications

Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

Influence of Apartments’ Modernization on the Temperatures of Heating System in the Building

Fuzzy Ensemble Ideal Solution Based Multi-Criteria Decision-Making Support for Heat Energy Transition in Danish Households

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